Academic literature on the topic 'Milk production of dairy cow'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Milk production of dairy cow.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Milk production of dairy cow"

1

Yuniawan, Yuniawan, and Samaiharuh Samaiharuh. "Efisiensi Produksi Susu Sapi Perah Di Kelompok Peternak Mandiri Sejahtera Desa Tajurhalang Kabupaten Bogor." Wahana Peternakan 6, no. 2 (July 4, 2022): 62–68. http://dx.doi.org/10.37090/jwputb.v6i2.573.

Full text
Abstract:
This research aims to know efficiency of milk production at Mandiri Sejahtera Dairy Farmers Group and also to know how the factors of milk productions influence the amount of milk production at that group. Research methode which is used is with using giving quiz containing questions about factors relating to milk production. Factors of milk production which are researched are ownership of dairy cow for every farmer (SL), forage (H) and concentrate (K) which is used for every month/dairy cow, and working time per month/dairy cow. Data analysis used is using Cobb Douglass Equation, so, We could get milk production equation and know factors which significant (P < 0,01 atau P < 0,05) influence to milk production. Cobb Douglas Function of that milk production is LnPS = 0,38 + 0,432 LnH - 0,263 LnK + 0,590 LnJ* + 0,941 LnSL**. Factors most significant (P < 0,01) influence the milk production are the ownership of dairy cow. The ownership of dairy cow which is efficient is about 3,32 LU/month/farmer which could produce milk about 250 liter/month/farmer. Keywords: Milk Production, Cobb Douglass, Ownership Of Dairy Cow, Dairy Farmer
APA, Harvard, Vancouver, ISO, and other styles
2

Kopeček, P. "Analysis of the yield milk effect on the economics of milk production." Agricultural Economics (Zemědělská ekonomika) 48, No. 10 (March 1, 2012): 473–79. http://dx.doi.org/10.17221/5355-agricecon.

Full text
Abstract:
Relations between the level of milk yield and the economic results of dairy cows breeding were analysed on the base of operational and economic data received from 135 agricultural enterprises. The analysis was aiming at the optimization of milk production expressed by means of the cost function. By evaluating the above-mentioned relations, there was recorded a tendency of the faster growth of milk yield compared to the costs for market milk for one feeding day of a dairy cow. On the base of the expense function, there was expressed the maximum profit for a litre of market milk, the maximum profit for a dairy cow per year and the interval of profitability of milk production in 2000.
APA, Harvard, Vancouver, ISO, and other styles
3

Larasati, Maulidya, Wiludjeng Roessali, and Agus Setiadi. "Risk Analysis Of Dairy Cow Milk Production." SOCA: Jurnal Sosial, Ekonomi Pertanian 15, no. 1 (January 31, 2021): 133. http://dx.doi.org/10.24843/soca.2021.v15.i01.p12.

Full text
Abstract:
Dairy farmers need to know the risk management strategies in dairy cow milk production process to reach the optimal production and preventing decrease. Pangudi Mulyo Animal Husbandry Group is a farmer group that engaged in dairy cows business and makes dairy milk as its main product. This study aimed to identify risks and set priorities for handling and analyzing risk management strategies for dairy cow milk production. This research was conducted in December 2019-January 2020 in Pangudi Mulyo Animal Husbandry Group located in Randusari Hamlet, Nongkosawit Village, Gunungpati District, Semarang. The method used in this study was census method, by taking 33 active members of the Pangudi Mulyo Animal Husbandry Group. Data collection was carried out through observation and interviews according to the questionnaire. The data were analyzed using quantitative analysis with the House of Risk (HOR) Phase 1 and Phase 2 methods. The results shows that there were 17 risk events and 17 risk agents in HOR Phase 1 and there were 8 risk agents that needed handling based on the high value of Aggregate Risk Potential (ARP). There are identified 13 risk management strategies obtained from HOR phase 2 in accordance with the Effectiveness of Difficult (ETD) assessment of risk agents that need to be addressed.
APA, Harvard, Vancouver, ISO, and other styles
4

Whitfield, Lisa. "Milk production, fertility and the modern dairy cow." Livestock 25, no. 2 (March 2, 2020): 72–75. http://dx.doi.org/10.12968/live.2020.25.2.72.

Full text
Abstract:
Increasing the volume of milk produced per cow has been a successful direction of the dairy industry for many years. Management of genetics, the physical environment and changes in nutrition have ensured significant progress has been made towards maximising the milk yield per cow. This production focus has come at a cost however, with increased milk yield seemingly being at odds with the desirable trait of reproductive efficiency.
APA, Harvard, Vancouver, ISO, and other styles
5

Makau, D. N., J. A. VanLeeuwen, G. K. Gitau, S. L. McKenna, C. Walton, J. Muraya, and J. J. Wichtel. "Effects of Calliandra and Sesbania on Daily Milk Production in Dairy Cows on Commercial Smallholder Farms in Kenya." Veterinary Medicine International 2020 (February 21, 2020): 1–15. http://dx.doi.org/10.1155/2020/3262370.

Full text
Abstract:
There is a growing interest in protein supplementation of dairy-cow diets using leguminous shrubs. The study objective was to ascertain the association between diet supplementation with Calliandra calothyrsus and Sesbania sesban and milk production in dairy cattle on commercial smallholder farms. This trial involved 235 cows from 80 smallholder dairy farms in Kenya randomly allocated to 4 intervention groups: (1) receiving Calliandra and Sesbania and nutritional advice; (2) receiving reproductive medicines and advice; (3) receiving both group 1 and 2 interventions; and (4) receiving neither intervention. Farm nutritional practices and management data were collected in a questionnaire, and subsequent physical examinations, mastitis tests, and milk production of cows on the farm were monitored approximately monthly for 16 months. Descriptive and univariable statistical analyses were conducted, and multivariable mixed-model regression was used for identification of factors associated (P<0.05) with daily milk production. The mean milk production was 6.39 liters/cow/day (SD = 3.5). Feeding Calliandra/Sesbania to cows was associated (P<0.0005) with an increase in milk produced by at least 1 liter/cow/day with each kg fed. Other variables positively associated with ln daily milk production in the final model included feeding of Napier grass, amount of silage and dairy meal fed, body condition score, and appetite of the cow. Other variables negatively associated with ln daily milk production in the final model included amount of maize germ fed, days in milk, sudden feed changes, pregnancy, and subclinical mastitis. In conclusion, our field trial data suggest that use of Calliandra/Sesbania through agroforestry can improve milk production in commercial smallholder dairy farms in Kenya. Agroforestry land use systems can be adopted as a way for dairy farmers to cope with feed shortages and low crude protein in farm-available feeds for their cows.
APA, Harvard, Vancouver, ISO, and other styles
6

Scholtz, MM, J. Du Toit, and FWC Neser. "Antagonism in the carbon footprint between beef and dairy production systems." South African Journal of Animal Science 44, no. 5 (January 19, 2015): 17–20. http://dx.doi.org/10.4314/sajas.v44i5.4.

Full text
Abstract:
Primary beef cattle farming in South Africa is largely extensive, whereas dairy farming is based on both total mixed ration and pasture production systems. Under natural rangeland conditions, decomposition of manure is aerobic, which produces carbon dioxide (CO2), part of which is absorbed by the regrowth of vegetation rather than released into the atmosphere, and water (H2O) as end products. Thus the cow releases methane (CH4) and the manure CO2. This is in contrast to intensive cow-calf systems in large parts of Europe and North America, where large quantities of manure are stockpiled and undergo anaerobic decomposition and produce CH4. Thus both the cow and the manure release CH4, which result in a higher carbon footprint than the extensive cow-calf systems. In dairy farming, increasing cow efficiency through intensive feeding (same kg milk output by fewer animals) can reduce farm CH4 production by up to 15%. In addition, when differences in productivity are accounted for, pasture systems require more resources (land, feed, water, etc.) per unit of milk produced and the carbon footprint is greater than that of intensive systems. This raises the question as to why the carbon footprint of intensive dairy cow production systems is less, but the carbon footprint of intensive beef cow-calf production systems is higher. The explanation lies in the differences in production levels. In the case of beef cows the weight of the intensive cows will be ± 30% higher than that of the extensive cows, and the weaning weight of their calves will also differ by ± 30%. In the case of dairy cows the weight of the intensive cows will be ± 20% higher, but their milk production will be ± 60% higher. The higher increase in production (milk) of intensive dairy cows, compared to the increase in production (calf weight) of intensive beef cows, explains the antagonism in the carbon footprint between different beef and dairy production systems. Unfortunately, carbon sequestration estimates have been neglected and thus the quantitative effects of these differences are not known.Keywords: Cow-calf production, methane, pasture production, production levels, total mixed ration
APA, Harvard, Vancouver, ISO, and other styles
7

Hennessy, Deirdre, Luc Delaby, Agnes van den Pol-van Dasselaar, and Laurence Shalloo. "Increasing Grazing in Dairy Cow Milk Production Systems in Europe." Sustainability 12, no. 6 (March 20, 2020): 2443. http://dx.doi.org/10.3390/su12062443.

Full text
Abstract:
In temperate regions of Europe where grass grows for most of the year, grazed pasture is the lowest cost feed for milk production. Grazed pasture can make a contribution to dairy cow feeding systems in other parts of Europe, but is less important. While there are many challenges to maintaining or increasing the proportion of grazed grass in dairy cow diets, there are also opportunities to increase its contribution. Grass use and quality can be challenging for several reasons, including the cow and sward interaction, and factors influencing dry matter intake. Adapting grazing management strategies can provide opportunities for incorporating grazing and perhaps increase grazing in dairy cow milk production systems. Pasture management tools and techniques offer the opportunity to increase herbage use at grazing. While there are many benefits of grazing including economic, environmental, animal welfare and social, there are also the challenges to maintaining grazed pasture in dairy cow diets. The objective of this paper is to present an overview of the challenges and opportunities for grazing in dairy milk production systems.
APA, Harvard, Vancouver, ISO, and other styles
8

Trajchev, Metodija, Dimitar Nakov, and Sreten Andonov. "The Effect of Thermal Environment on Daily Milk Yield of Dairy Cows." Macedonian Veterinary Review 39, no. 2 (October 1, 2016): 185–92. http://dx.doi.org/10.1515/macvetrev-2016-0084.

Full text
Abstract:
AbstractThe primary objective of this research was to evaluate the impact of environmental air temperatures on the milk production of dairy cows. Therefore, the experiment was carried out at the height of summer (from 15th of June to 15th of September) in three small family dairy farms and one commercial dairy farm. In total, 51 dairy cows from the black-white breed were subjected to the study. The season of research was divided into three periods: the period before the hot season, the period of the hot season and the period after the hot season. In each period there were three test days selected that were used for recording the air temperature inside and outside the barns and cow’s daily milk yield. Unvaried associations between the test day milk yield of cows and independent environmental and cow factors were done using the linear mixed model for repeated measurements. The statistical model showed that the farm management system and the hot season of the year had significant influence on daily milk yield per cow at the level of p<0.001. The test day per periods of the season when milk control was performed and the average test day environmental temperature showed statistically significant influence on daily milk yield per cow at level p<0.01. The present results revealed that environmental air temperatures contributes to considerable loss in the milk production of dairy cows.
APA, Harvard, Vancouver, ISO, and other styles
9

Nicholson, Charles F., Budy Resosudarmo, and Rick Wackernagel. "Impacts of the Northeast Interstate Dairy Compact on New England Milk Supply." Agricultural and Resource Economics Review 30, no. 1 (April 2001): 93–103. http://dx.doi.org/10.1017/s1068280500000587.

Full text
Abstract:
A two-equation random coefficients model and two estimates of milk prices in the absence of the Northeast Interstate Dairy Compact (Compact) are used to estimate the impact of minimum price regulation for fluid milk products on milk production in the New England states. Estimated responses to price enhancement differed by state for cow numbers, but parameters for milk per cow were not significantly different among states. The amount of increase in milk production attributed to the Compact is estimated at 45 million pounds (about 1% of production) during the first year of minimum price regulation, primarily due to increased milk per cow.
APA, Harvard, Vancouver, ISO, and other styles
10

Alam, Md Ariful, Asma Yeasmin Sampa, Sauda Afrin Anny, and Sharmin Afrin. "Financial profitability analysis of dairy milk production in some selected areas of Bangladesh." International Journal of Agricultural Research, Innovation and Technology 12, no. 1 (August 23, 2022): 182–87. http://dx.doi.org/10.3329/ijarit.v12i1.61050.

Full text
Abstract:
The study analyzed profitability and productivity of dairy milk production from a survey of 70 respondents (farmers and market actors) in Dhaka region. Responsible factors that affect dairy milk production were identified using the Cobb-Douglas production function. The findings unveil that significant coefficients of variables exhibit positive impact on the dairy milk production. It is possible for dairy farmers to enjoy sufficient profits from milk production since earned gross return and net return were Tk. 1099 and Tk. 594, respectively against the total cost of production Tk. 487.83 per cow per day. Average production of milk per cow was 12.5 liters. The estimated Benefit Cost Ratio (BCR) was 2.17 that is dairy farmers earned Tk. 2.17 investing one taka in dairy farming. Int. J. Agril. Res. Innov. Tech. 12(1): 182-187, June 2022
APA, Harvard, Vancouver, ISO, and other styles

Dissertations / Theses on the topic "Milk production of dairy cow"

1

Jones, Geoffrey Philip. "Dietary factors influencing responses by dairy cows to condition score at calving." Thesis, University of Nottingham, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383720.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Fraser, Diane Lynn. "The limiting amino acids for milk production in the dairy cow." Thesis, University of Aberdeen, 1988. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU020959.

Full text
Abstract:
1) A review of the literature relating to the amino acid requirements in ruminants is presented. It was concluded from this review that the amino acids most likely to be limiting for milk production were lysine and methionine. 2) The object of this project was, by using the approach developed by Storm (1982), to identify which amino acids in a test protein were limiting for production in the lactating dairy cow. The nutritional requirements of the animals were met by the total intragastric infusion technique; this system eliminated the problems of rumen fermentation, and allowed precise control of the amino acid supply to the small intestine of the experimental animals. 3) The identification of the limiting amino acids involved several steps which included:a) the estimation of the efficiency of nitrogen and amino acid nitrogen utilisation by the cow,b) calculation of the supplement required to increase the efficiency of N utilisation to a maximum of 1.0,c) the demonstration that a similar response in production could be obtained from a supplement of casein, or a mixture of synthetic essential and non-essential amino acids in similar proportions to those in casein,d) to establish that the removal of non-essential amino acids had no effect on production responses ande) measurement of the changes in production obtained by removal of individual essential amino acids from the amino acid supplement, according to the theoretical basis assumed by Storm (1982). 4) The efficiency of nitrogen utilisation of the test protein, casein was estalished under nitrogen limiting conditions from the regression of productive nitrogen (milk nitrogen and retained nitrogen) on nitrogen input for cows in early, mid and late lactation and cows in the dry period. The values obtained for the four stages were 0.693, 0.683, 0.583 and 0.607 for early, mid and late lactation and the dry period respectively. Analysis of the data revealed that the slopes of these relationships did not differ significantly. It appears, therefore, that under nitrogen limiting conditions, the efficiency of nitrogen utilisation was not effected by stage of lactation. The overall value obtained for the efficiency of utilisation of casein nitrogen supplied at the abomasum was 0.66. 5) Assuming that the proportion of amino acid nitrogen in total nitrogen was 0.88 and the true digestibility of amino acid nitrogen was 0.95, the efficiency of amino acid nitrogen utilisation (UAAN) could be calculated as follows:U_AAN = rm Efficiency of Nitrogen utilisationover rm (Proportion of AAN in total nitrogen) (True digestibility)Therefore, the supplement of amino acids required to raise the efficiency of amino acid nitrogen utilisation to the optimum of 1.0 was rm 1-UAANover rm UAAN of the basal casein input of amino acid nitrogen. 6) Using the value of 0.693 for the efficiency of utilisation of casein nitrogen, the amino acid supplement required was 0.206 of the basal casein input of amino acid nitrogen. Using this supplement it was established that a similar response in productive nitrogen could be obtained by supplementing the basal input of casein with either casein or a mixture of essential and non-essential amino acids in similar proportions to that of casein or a mixture of essential amino acids alone. The non-essential amino acids were excluded from the supplement in further experiments. 7) The efficiency of nitrogen utilisation used in the final experiment was that of mid lactation cows 0.683, as the cows were approaching mid lactation. Essential amino acids were removed from the supplement either singly or in pairs and changes in productive nitrogen were measured. Significant decreases in productive nitrogen were obtained by the removal of lysine, methionine and histidine. Removal of phenylalanine resulted in decreases in productive nitrogen, although this did not reach significance (p < 0.10). The average percent decrease in productive nitrogen with.
APA, Harvard, Vancouver, ISO, and other styles
3

GISLON, GIULIA. "GREENHOUSE GAS EMISSIONS RELATED TO MILK PRODUCTION OF DAIRY COWS." Doctoral thesis, Università degli Studi di Milano, 2020. http://hdl.handle.net/2434/706613.

Full text
Abstract:
With global emissions estimated at 7.1 Gt CO2 eq per annum, livestock represents 14.5% of all human-induced emissions and it is considered to be the largest source of greenhouse gas (GHG) emissions from the agricultural sector. However, livestock can contribute to convert nutrients from plant biomass into animal-sourced foods, which are rich in essential macro and micronutrients in the form of milk and meat, thereby utilizing resources that cannot otherwise be consumed by humans. Livestock also contributes to global food security and poverty reduction, providing regular income to producers. To achieve a sustainable supply of animal origin food, farmers need, therefore, to identify strategies, in terms of livestock management and feeding, forage systems and feed growing practices, that make the best use of available resources and minimize the potential environmental impact. The studies of the PhD thesis were mainly developed inside the Life project “Forage4Climate”, a four years project, aimed at demonstrating that forage systems connected to milk production can promote climate change mitigation. The aim of the PhD thesis was the evaluation of GHG emission, related to dairy cattle milk production. Specific aims were: • to identify and evaluate the most common forage systems adopted in dairy cow farms in the Po plain, selecting the systems that can improve milk production and soil carbon (C) sequestration reducing emissions per kg of milk; • to evaluate commercial diets related to these different forage systems, in order to directly assess their digestibility, milk and methane (CH4) production; • to identify, through a survey analysis, the main ingredients used in the total mixed ration (TMR) of high producing lactating cows, in order to assess the best diet composition that can lead to high feed efficiency (FE) and low global warming potential (GWP) at commercial farms scale; • in a future perspective of circular economy, to study the exploitation of different inedible human by-products as growing substrates for Hermetia Illucens larvae, in order to substitute soybean meal (SBM) in the livestock diets with insect proteins. A total of 46 dairy cattle farms in Lombardy, Piedmont and Emilia-Romagna were visited, in order to map the main forage systems adopted in each area and to characterize them for GHG emission related to milk production (FPCM, fat and protein corrected milk), and soil organic C stock. The evaluation of environmental impact, in terms of GWP, related to the different forage systems was carried out though a Life Cycle Assessment (LCA) method, using the Software SIMAPRO. Six forage systems based on different forages were identified. The main results in terms of GHG per unit milk were: - CONV - Conventional corn silage system: 1.37 kg CO2 eq/kg FPCM (SD 0.26) - HQFS - High quality forage system: 1.18 kg CO2 eq/kg FPCM (SD 0.13) - WICE - Winter cereal silage system: 1.44 kg CO2 eq/kg FPCM (SD 0.43) - MIXED - Mixed less intensive system: 1.36 kg CO2 eq/kg FPCM (SD 0.26) - PR FRESH- Hay and fresh forage system for Parmigiano Reggiano PDO cheese production: 1.51 kg CO2 eq/kg FPCM (SD 0.23) - PR DRY- Hay system for Parmigiano Reggiano PDO cheese production: 1.36 kg CO2 eq/kg FPCM (SD 0.19). The HQFS system registered the lowest value for GWP, mainly due to the higher milk production per cow (daily FPCM/head). More intensive systems, such as HQFS, confirmed that milk production per cow is negatively related to the impact per kilogram of product, as highlighted also by a PROC GLM analysis. The HQFS system also resulted to be more sustainable, in terms of feed self-sufficiency, as it provided a high amount of dry matter (DM) per hectare, consisting of high digestible forages. Despite the lowest value for GWP, the forage system identified as HQFS showed the lowest organic C soil density: 5.6 kg/m2 (SD 1.1). On the contrary, PR FRESH showed the highest value in terms of organic C density in the soil: 9.7 kg/m2 (SD 2.2), compared with an average of 6.7 kg/m2 (SD 0.88) for the other systems. Further investigations are needed to consider environmental sustainability over a wider spectrum. Enteric CH4 was the main contributor to GWP for all forage systems: on average 45.6% (SD 3.89). For this reason, an in vivo evaluation of CH4 and milk production of lactating dairy cows fed four different diets, obtained from the forage systems identified, was performed. Also digestibility of the diets, energy and nitrogen (N) balance were assessed. Four pairs of Italian Friesian lactating cows were used in a repeated Latin Square design, using individual open circuit respiration chambers to determine dry matter intake (DMI), milk production and CH4 emission and to allow total faeces and urine collection for the determination of N and energy balances. Four diets, based on the following main forages, were tested: corn silage (49.3% DM; CS), alfalfa silage (26.8% DM; AS), wheat silage (20.0% DM; WS), hay-based diet (25.3% DM of both alfalfa and Italian ryegrass hays; PR) typical of the area of Parmigiano Reggiano cheese production. Feeding cows with PR diet significantly increased DMI (23.4 kg/d; P=0.006), compared with the others (on average, 20.7 kg/d), while this diet resulted to be the least digestible (e.g. DM digestibility=64.9 vs 71.7% of the other diets, on average). This is probably the reason why, despite higher DMI of cows fed PR diet, the animals did not show higher production, both in terms of milk (kg/d) and energy corrected milk (ECM; kg/d), compared with the other treatments. The urea N concentration was higher in milk of cows fed WS diet (13.8) and lower for cows fed AS diet (9.24). This was also correlated to the highest urinary N excretion (g/d) for cows fed WS diet (189.5 vs 147.0 on average for the other diets). The protein digestibility was higher for cows fed CS and WS diets (on average 68.5%) than for cows fed AS and PR (on average 57.0%); the dietary soybean inclusion was higher for CS and WS than AS and PR. The higher values for aNDFom digestibility were obtained for CS (50.7%) and AS (47.4%) diets. The rumen fermentation pattern was affected by diet; in particular PR diet, characterized by a lower content of NFC and a higher content of aNDFom as compared to CS diet, determined a higher rumen pH and decreased propionate production as compared to CS. Feeding cows with PR diet increased the acetate:propionate ratio in comparison with CS (3.30 vs 2.44 for PR and CS, respectively). Ruminal environment characteristics (i.e higher pH and higher acetate: propionate ratio), together with increased DMI, led cows fed PR DRY diet to have greater (P=0.046) daily production of CH4 (413.4 g/d), compared to those fed CONV diet (378.2 g/d). However, no differences were observed when CH4 was expressed as g/kg DMI or g/kg milk. Hay based diet (PR) was characterized by the lowest digestible and metabolizable energy contents which overall determined a lower NEL content for PR than CS diet (1.36 vs 1.70 Mcal/kg DM respectively for PR and CS diets). In order to meet the high demand of nutrients needed to assure high milk production, in addition to fodder a lot of concentrates are also used in dairy cows’ TMR. A survey analysis conducted in commercial farms was performed to evaluate the GWP of different lactating cow TMR and to identify the best dietary strategies to increase the FE and to reduce the enteric CH4 emission. A total of 171 dairy herds were selected: data about DMI, lactating cows TMR composition, milk production and composition were provided by farmers. Diet GWP (kg CO2 eq) was calculated as sum of GWP of each ingredient considering inputs needed at field level, feed processing and transport. For SBM, land use change was included in the assessment. Enteric CH4 production (g/d) was estimated using the equation of Hristov et al. (2013) in order to calculate CH4 emission for kg of FPCM. The dataset was analysed by GLM and logistic analysis using SAS 9.4. The results of frequency distribution showed that there was a wide variation among farms for the GWP of TMR: approximately 25% of the surveyed farms showed a diet GWP of 15 kg CO2 eq, 20% of 13 kg CO2 eq and 16.7% of 17 kg CO2 eq. The variation among farms is due to the feed used. Among feed, SBM had the highest correlation with the GWP of the TMR with the following equation: TMR GWP (kg CO2 eq) = 2.49*kg SBM + 6.9 (r2=0.547). Moreover, an inclusion of SBM >15% of diet DM did not result in higher milk production with respect to a lower inclusion (≤15%). Average daily milk production of cows was 29.8 (SD 4.83) kg with a fat and protein content (%) of 3.86 (SD 0.22) and 3.40 (SD 0.14), respectively. The average value of DMI (kg/d) of lactating cows was 22.3 (SD 2.23). The logistic analysis demonstrated that a level of corn silage ≤ 30% on diet DM was associated with higher FE. Almost 50% percent of the farms had an average value of 15.0 g CH4/kg FPCM and about 30% a value of 12.5 g CH4/kg FPCM. The results demonstrated that a lower enteric CH4 production was related to inclusion (% on diet DM) of less than 12% of alfalfa hay and more than 30% of corn silage. Diets with more than 34% of NDF determined higher CH4 production (≥14.0 g/kg FPCM) compared with diets with lower NDF content. On the contrary, a lower enteric CH4 production (<14.0 g/kg FPCM) was related to diets characterized by more than 1.61 NEl (Mcal/kg) and more than 4% of ether extract. The variability in the GWP of TMR shows a significant potential to reduce both the GWP of the diet through a correct choice and inclusion level in the ration of the ingredients (mainly SBM) and the possibility to decrease CH4 enteric emission associated to milk production. Looking forward, in order to evaluate the opportunity of alternative protein sources in the cow diet, to reduce SBM, waste production, and competition between animals and human for crops, a study on the effects of different by-products for Hermetia illucens rearing on the chemical composition of larvae and their environmental impact was conducted, even if, according to the European legislation, today the use of insects as feed source is not possible in ruminants. Regarding climate change, okara and brewer’s grains were the most promising substrates: 0.197 and 0.228 kg CO2 eq/kg of larvae fresh weight, respectively. Results from these studies show the importance of adopting a holistic approach for the assessment of GHG emission from milk production. Therefore, any strategy aimed at mitigating CH4 emission of dairy cows must also take into account the possible effect on the other GHGs, as well as the effect on C sequestration. Based on the studies, it could also be worth evaluating novel feed as a new and useful solution for mitigation of GHG emission related to milk production. The thesis highlights essential differences among forage systems and among feed ingredients of cow ration, confirming that there is room for improvement in sustainability of milk production. These issues should be taken into consideration by farmers, technicians and policy makers, considering that sustainability of livestock production will be one of the priorities for humankind in next future.
APA, Harvard, Vancouver, ISO, and other styles
4

ROTA, GRAZIOSI ANDREA. "EVALUATION AND CHARACTERIZATION OF DIETARY STRATEGIES ON ENVIRONMENTAL SUSTAINABILITY OF DAIRY COW MILK PRODUCTION." Doctoral thesis, Università degli Studi di Milano, 2022. http://hdl.handle.net/2434/924352.

Full text
Abstract:
The livestock sector is facing different challenges, and the demand for higher sustainability seems to be one of the most urgent. This PhD project debated, in particular, the environmental impacts related to ruminant nutrition, focusing on dairy cows, since nutrition is bound tightly to two of the most important sources of impact: enteric CH4 emission and land use change (LUC). Enteric CH4 emission from ruminants represents 29-38% of the total (anthropic + natural) emission of this powerful (21 CO2 equivalent) greenhouse gas. The production of CH4 is a physiological process used by ruminants to discharge the [H] resulting from rumen fermentation. Different strategies can be implemented to mitigate this impact, and they can be roughly grouped into three main categories: animal and feed management, diet formulation, and rumen manipulation. The second issue investigated in the project is the high reliance of European livestock on soybean meal as a protein source for diet formulation. A total of 30 million tonnes of this feedstuff was imported into Europe in 2020. The main countries of origin are in South America (65% of total import), where 20% of soybean meal production was linked with deforestation (and consequently LUC) in the last decades. Clearing these areas means loss of carbon sink and emission of CO2 in the atmosphere. Other feedstuffs, like grain legumes, oilseed meals alternative to soybean, and high quality forages could be considered to provide protein feed with a lower environmental cost. In this context, the PhD project was developed as follows:  To address the problem of CH4 emission, plant essential oils, as modulators of rumen fermentation, were evaluated (Experiment 1). Furthermore, the effect on CH4 emission of different forages in the diet of dairy cows was investigated (Experiment 2). For validation of mitigation strategies and inventory computation of emissions at a national scale, country-specific equations to quantify CH4 emission were evaluated (Experiment 3).  To address the problem of soybean meal environmental impact, soybean silage and responsible soybean meal (not connected with land use change) were evaluated as protein source alternatives to soybean meal in the diet of lactating cows (Experiments 4 and 5). Enteric methane direct emission In the first experiment, Achille moschata essential oil and its main pure components, namely bornyl acetate, camphor, and eucalyptol, were evaluated in an in vitro experiment. The trial comprehended a short-term in vitro incubation (48 h), with 200 mg of compound per L of inoculum, and a long-term one by continuous fermenter (9 d), with 100 mg/L for each compound. In the first incubation, no differences due to the treatments were found for in vitro gas production (on average, 30.4 mL/200 mg DM, P = 0.772 at 24 h and 45.2 mL/200 mg DM, P = 0.545 at 48 h). Camphor and eucalyptol reduced CH4 production when expressed as % of gas production at 48 h (P < 0.05): -7.4% and -7% compared to control. In the second incubation, CH4 was reduced by eucalyptol (-18%, P < 0.05). Regarding volatile fatty acids, the main effects were a decrease of total production for camphor (-19.5%, P < 0.05) and an increase in acetate production at 9 d with bornyl acetate and camphor (+13% and 7.6%, respectively, P < 0.05) compared to control. Total protozoa count was increased compared to the control (on average: +37%, P = 0.006, at 48 h and +48%, P < 0.001, at 9 d) with all the pure compounds tested. In the short-term incubation, all the treatments reduced Bacteroidetes (30.3%, on average, vs. 37.1% of control, P = 0.014) and Firmicutes (26.3%, on average, vs. 30.7% of control, P = 0.031) abundances but increased Proteobacteria (36.0%, on average, vs. 22.5% of control, P = 0.014). In the long-term incubation, eucalyptol increased the genus Ruminococcus abundance (2.60% vs. 1.18% of control, P = 0.011). An adaptation at long time incubation was observed. In particular, considering eucalyptol addition at 9 d incubation, VFA production was reduced (26.8 vs. 33.3 mmol of control, P < 0.05) contrary to the 48 h incubation (P = 0.189). Furthermore, the treatments affected protozoa genera relative abundances at 24 h (increased abundance for Entodinium with all the treatments, P < 0.001, and reduced for Diplodinium, P = 0.001); at 9 d, instead, protozoa genera relative abundances were not affected by the treatment. The additives tested showed potential in reducing CH4 production without compromising the overall fermentation efficiency. A meta-analysis (Experiment 2) investigated the effects on lactation performance and enteric CH4 of the main forage included in the diet. In the dataset, composed of in vivo experiments, four main forage bases were evaluated: corn silage, alfalfa silage, grass silage, and green forage. Cows fed corn, and alfalfa silages had the highest DMI (21.9 and 22.0 kg/d, P < 0.05) and milk yield (29.7 and 30.4 kg/d, P < 0.05). On the opposite, NDF digestibility was highest for grass silage and green forage (67.6% and 73.1%, P < 0.05) than corn and alfalfa silages (51.8% on average). CH4 production was lower (P < 0.05) for green forage (332 g/d) than the silage diets (on average 438 g/d). Instead, corn silage and alfalfa silage gave the lowest CH4 per kg of milk yield (14.2 g/kg and 14.9 g/kg, P < 0.05). Considering CH4 per kg of DMI, the only difference was between corn silage and grass silage (19.7 g/kg vs. 21.3 g/kg respectively for corn and grass silage, P < 0.05). Finally, prediction models for CH4 production were obtained through a step-wise multi regression. In particular, the models for the prediction of: CH4 in g/d (CH4 = - 65.3(±63.7) + 11.6(±1.67) × DMI - 4.47(±1.09) × CP - 0.86(±0.33) × Starch + 2.62(±0.78) × OM digestibility + 30.8(±9.45) × Milk fat) and for CH4 in g/kg of milk yield (CH4/milk yield = - 55.5(±20.1) - 0.37(±0.13) × DMI + 0.18(±0.05) × Total forage inclusion on diet DM - 0.10(±0.04) × Inclusion of the main forage on diet DM + 0.48(±0.21) × OM + 0.14(±0.06) × NDF + 1.98(±0.86) × Milk fat +4.34(±1.66) × Milk protein) showed high precision (R2 = 95.4% and 88.6%, respectively), but the best AIC value (320) was found for the model predicting CH4 in g/kg DMI: CH4/kg DMI = 6.16(±3.89) - 0.36(±0.03) × CP + 0.12(±0.05) ×OM digestibility + 3.77(±0.56) × Milk fat - 3.94(±1.07) × Milk fat yield. A dataset (66 observations in total) of three in vivo experiments conducted in Italy on lactating cows in respiration chambers was built to evaluate IPCC Tier 2 equations to estimate enteric CH4 production (Experiment 3). In the dataset, the CH4 conversion factor (conversion of gross energy intake into enteric CH4 energy) was lowest for a diet based on grass and alfalfa silages (5.05%, P < 0.05), while the others values ranged between 5.41 and 5.92%. On average, energy digestibility was 69.0% across the dataset, but the diet based on hays had a lower value (64.8%, P < 0.05). The IPCC (2019) Tier 2 (conversion factor = 5.7% or 6.1% for diet with NDF concentration < 35% or >35%, respectively; digestible energy = 70%) gave, on average, a value of CH4 production not statistically different from the ones measured in vivo (382 vs. 388 g/d in vivo, P > 0.05). The IPCC (2006) Tier 2 (conversion factor = 6.5%, digestible energy = 70%) over-predicted CH4 emission (428 vs. 388 g/d in vivo, P < 0.05; μ = -1.05). The most precise models were the two considering digestible energy equal to 70% and average values of conversion factor for IPCC (2006) and IPCC (2019) (R = 0.630); the most accurate models was the one considering a conversion factor equal to 5.7% and energy digestibility measured in vivo (Cb = 0.995). Overall, the best performance among the predicting models tested was for the one based on a conversion factor equal to 5.7% and energy digestibility of 70% (CCC = 0.579 and RMPSE = 9.10%). Use of alternative protein source to conventional soybean meal The dietary inclusion of soybean silage in partial replacement of soybean meal for dairy cows was evaluated in vivo in lactating cow diets (Experiment 4). Cows were fed two diets, one with 12.4% of DM from soybean silage in substitution of 35% of the soybean meal of the control diet. The treatment did not affect DMI and milk yield (on average, 23.7 kg/d, P = 0.659, and 33.0 kg/d, P = 0.377, respectively). Cows fed the soybean silage diet had lower milk protein concentration (3.43% vs. 3.55% of the control, P < 0.001) and higher milk urea (30.5 vs. 28.7 mg/dL, P = 0.002). The soybean silage had lower nutrient digestibility than the control: DMD 65.2% vs. 68.6%, OMD 66.4% vs. 69.8%, NDFD 31.5% vs. 38.8% (respectively for soybean silage and control diet; P < 0.001 for all of them). Regarding N balance, cows fed soybean silage excreted more nitrogen in the urines (32.3 % of N intake vs. 28.9%, P = 0.005) and less in the milk (31.3% vs. 32.7%, P =0.003) than the control. When used as a protein source alternative to soybean meal, soybean silage sustained comparable milk production, but NDF digestibility and N use efficiency should be improved. The environmental impact of the use of soybean silage in comparison to a control diet with soybean meal as the main protein source was evaluated through an LCA approach (Experiment 5). In addition, two scenarios were included in the study, considering the two diets mentioned before, but with soybean meal not connected to LUC (responsible soybean meal). Regarding the single forages, soybean silage had higher global warming potential than alfalfa hay (477 vs. 201 kg CO2eq/ton DM), also when this was expressed per tonnes of protein production (2439 and 1034 kg CO2eq/ton CP, respectively), probably due to the lower contribution of the cultivation phase for alfalfa, being a multi-year crop. The scenario with soybean silage reduced the global warming potential per kg of fat and protein corrected milk (1.17 kg CO2eq) compared to the control (1.38 kg CO2eq). Responsible soybean meal reduced the global warming potential per kg of fat and protein corrected milk (1.13 kg CO2eq/kg vs. 1.38 of the scenario with the control diet). Overall, the best result per kg of fat and protein corrected milk was obtained when responsible soybean meal and soybean silage were used in combination (1.01 kg CO2eq). Also, when global warming potential was evaluated per daily fed TMR, the impact was lowest for the scenario with responsible soybean meal (13.4 kg CO2eq/d) due to the lower contribution of soybean meal to the total impact (11% vs. 43% of the control). Therefore, the two alternative protein sources tested should be preferred when considering environmental impact compared to conventional soybean meals.
APA, Harvard, Vancouver, ISO, and other styles
5

Kassem, M. M.-E. "Feed intake and milk production in dairy cows with special reference to diets concerning grass and Lucerne silages with barley supplements." Thesis, University of Glasgow, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.234860.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Hecheimi, Khaled Muhuddine. "Protein feeding for dairy cows." Thesis, Bangor University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239933.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Yeo, Joon-Mo. "Effects of amino acid nutrition on milk production responses of the dairy cow to more frequent milking." Thesis, University of Glasgow, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248134.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Hedlund, Louise. "Personality and production in dairy cows." Thesis, Linköpings universitet, Zoologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-96450.

Full text
Abstract:
Variation in animal personality, in other words, behavioural responses consistent within individuals over time and/or across contexts, is predicted to be related to life-history traits, such as growth rate and investment in reproduction. How this translates into relationships between personality and milk production in dairy cows is however scarcely investigated and previous studies are showing contradicting results. To further investigate this relationship, individual consistencies in behaviour were related to milk production in two breeds of dairy cows (Swedish red and white cattle, SRB, and Holstein). Variation was found among the breeds in consistency of behaviours and both SRB and Holstein cows were highly consistent over time in stepping behaviour during milking and frequency of performed abnormal behaviours in home pen. Overall were Holstein cows consistent in more observed behaviours than SRB. Variation in neophobia and responses to social separation were more flexible, both among breeds and over time. Nevertheless, behaviour showed limited relationship with milk production. To conclude, the tests here carried out are useful in describing personality in cows; however, personality showed no relationship with milk production, encouraging future studies to explore this expected relationship further in other breeds and species.
APA, Harvard, Vancouver, ISO, and other styles
9

Sanh, Mai Van. "Effects of feeding level and forage/concentrate ratio on milk production and performance of crossbred lactating cows /." Uppsala : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 2001. http://epsilon.slu.se/avh/2001/91-576-5819-6.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Dobson-Hill, Brenna Catherine. "Uterine involution in the dairy cow : comparative study between organic and conventional dairy cows : a thesis presented in partial fulfilment of the requirements for degree of Masters of Science in Animal Science, Massey University, Palmerston North." Massey University, 2009. http://hdl.handle.net/10179/1272.

Full text
Abstract:
Organic dairying is growing in popularity in New Zealand and the demand for knowledge is ever increasing. Many more farmers are considering organics as an alternative to their current conventional system. However, limited information is available on organic dairying in a New Zealand pastoral situation particularly in relation to its effect on fertility. The New Zealand dairy industry requires the dairy cow to become pregnant every year at the same time to maximise milk production and utilise the high pasture production in spring. A cow requires 40 to 60 days for uterine involution to occur and for resumption of oestrous cycles. It is critical that the cow becomes pregnant within the six to eight week mating period, however, this can be difficult for late calvers or those cows that had or still have a uterine infection, to undergo uterine involution and be successfully mated. These cows will often not become pregnant and as a consequence be culled for infertility. During the first few weeks postpartum, the bacterial composition of the uterus fluctuates as a result of spontaneous contamination, elimination and recontamination. Most cows are able to eliminate these bacteria, however, 10 to 17% of cows are unable to do this. In these cows, the bacteria persist, cause infection and inflammation, and delay uterine involution. The main objective of this present study was to investigate the effect of different management systems (Organic and Conventional) on productivity and reproduction, particularly the process of uterine involution and its relationship with reproductive outcomes. Uterine involution will be studied through the following measurements: cervical diameter as assessed by measurement per rectum, plasma concentrations of glucocorticoids and bacteriology of the uterus. Lactation characteristics: milk yield, cumulative milk yield, milksolids production and somatic cell count will also be investigated. From the results, it can be concluded that Organic cows have reduced milk yield (P=0.05) and milksolids production (P<0.01) through there were no major differences at peak lactation or in the rate of decline after. However, overall somatic cell count was not affected by management system though the Conventional cows had high somatic cell counts in early lactation (P=0.925). Cervical diameter was affected by the management system with the difference between Organic and Conventional cows almost significant (P=0.06). Cortisol concentrations were significantly higher in Organic cows (0.68 ± 0.08 ng/ml) when compared to Conventional cows (0.95 ± 0.06 ng/ml) (P=0.01). Cortisol concentrations decreased over time postpartum (P<0.01). Additionally Organic cows had a shorter interval from calving to AI (P=0.017). However, none of the other reproductive outcomes were affected by management system. Simple correlations established that reproductive outcomes and bacterial counts, reproductive outcomes and cortisol at Day seven, and cortisol and milk production characteristics, were not independent of each other. Aerobic bacterial counts on Day 28 and the interval from calving to AI were found to be significantly correlated (r= 0.615). Stepwise partial regression analysis, plus analysis of variance calculated on the relationships between uterine involution parameters and reproductive outcomes found multiple weak correlations. It found that cervical diameter, and aerobic and anaerobic bacterial counts on Day 28 were significantly correlated with the interval from calving to first AI (P=0.018). The differences in lactation characteristics are related to the lower pasture production on the organic farmlet reducing the maximal potential milk production and the possibly earlier calving dates of the Conventional cows. The differences in bacterial counts and almost significant difference in cervical diameter may be related to the lower cortisol levels and thus suggest that the Organic cows may be less stressed. As stress suppresses the immune system, it may be possible that the higher bacterial counts are indicitative of a less efficient or slightly weakened immune system which takes longer to eliminate bacteria in the uterus; however this is open to conjecture. The shorter interval from calving to AI suggests that Organic cows may be exhibiting oestrus behaviour earlier postpartum or the Conventional cows are having “silent heats” but this difference is possibly related to human factors. The correlation between parameters of uterine involution and interval from calving to AI, and the lower values for uterine involution parameters in Organic cows suggest the possibility of faster uterine involution and this may result in better fertility in the Organic cows. More research needs to be carried out to further investigate the effect of organic dairying on uterine involution and reproduction outcomes but organic dairying at the very least does not negatively impact on uterine involution and fertility.
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Milk production of dairy cow"

1

British Columbia. Live Stock Branch., ed. Milk-testing and dairy records. Victoria, B.C: W.H. Cullin, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Gamroth, M. J. Dry cow feeding and management. Corvallis, Or: Oregon State University Extension Service, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

C, Garnsworthy Philip, and Easter School in Agricultural Science (46th : 1987 : University of Nottingham), eds. Nutrition and lactation in the dairy cow. London: Butterworths, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Varma, M. Madhusudana. Production and marketing of milk and milk products: A study of Chittoor Union. Tirupati: Sri Venkateswara University, 2004.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Canada. Dairy and Cold Storage Branch., ed. Some notes gleaned from the work of the dairy record centres in 1912: The substance of an address delivered by Chas. F. Whitley at the Dairymen's Conventions in Ontario in January, 1913. Ottawa: [Dept. of Agriculture], 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Buckley, Frank Timothy Anthony. Effect of Genotype of Cow and System of Feeding on Milk Production, Feed Intake and Nutrient Utilisation of Spring-calving Holstein-Friesian Dairy Cows in Ireland. Dublin: University College Dublin, 1998.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Otto, Gravert Hans, ed. Dairy-cattle production. Amsterdam: Elsevier Science Publishers, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

1984-, Johnson Daniel, ed. The family cow handbook: A guide to keeping a milk cow. Minneapolis: Voyageur Press, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Dairy cows: Nutrition, fertility and milk production. Hauppauge, N.Y: Nova Science Publishers, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Food, Ontario Ministry of Agriculture and. Cow weight and milk yield in beef production. S.l: s.n, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Milk production of dairy cow"

1

Retamal, Pedro Melendez. "Nutritional Management of the Prepartum Dairy Cow." In Dairy Production Medicine, 7–17. Oxford, UK: Blackwell Publishing Ltd., 2011. http://dx.doi.org/10.1002/9780470960554.ch2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Gueddari, Abdessamad, and Jesús Canales Vázquez. "Husbandry: Milk Production." In Sustainable and Environmentally Friendly Dairy Farms, 47–80. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46060-0_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Ruegg, Pamela L. "Managing Mastitis and Producing Quality Milk." In Dairy Production Medicine, 207–32. Oxford, UK: Blackwell Publishing Ltd., 2011. http://dx.doi.org/10.1002/9780470960554.ch18.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Fox, P. F., T. Uniacke-Lowe, P. L. H. McSweeney, and J. A. O’Mahony. "Production and Utilization of Milk." In Dairy Chemistry and Biochemistry, 1–19. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14892-2_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Mulvihill, D. M., and M. P. Ennis. "Functional Milk Proteins: Production and Utilization." In Advanced Dairy Chemistry—1 Proteins, 1175–228. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4419-8602-3_32.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Oliveira, M. N., A. L. B. Penna, and H. Garcia Nevarez. "Production of Evaporated Milk, Sweetened Condensed Milk and ‘Dulce de Leche’." In Dairy Powders and Concentrated Products, 149–79. Oxford, UK: Wiley-Blackwell, 2009. http://dx.doi.org/10.1002/9781444322729.ch4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Carr, Alistair, and Matt Golding. "Functional Milk Proteins Production and Utilization: Casein-Based Ingredients." In Advanced Dairy Chemistry, 35–66. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2800-2_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Bansal, Nidhi, and Bhesh Bhandari. "Functional Milk Proteins: Production and Utilization—Whey-Based Ingredients." In Advanced Dairy Chemistry, 67–98. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2800-2_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Ehling-Schulz, M., U. Messelhäusser, and P. E. Granum. "Bacillus cereus in Milk and Dairy Production." In Rapid Detection, Characterization, and Enumeration of Foodborne Pathogens, 275–89. Washington, DC, USA: ASM Press, 2014. http://dx.doi.org/10.1128/9781555817121.ch19.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Gall, Christian F. "Production Systems around the World." In Milk and Dairy Products in Human Nutrition, 1–30. Oxford: John Wiley & Sons, 2013. http://dx.doi.org/10.1002/9781118534168.ch1.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Milk production of dairy cow"

1

Lou, W., R. Shi, B. Ducro, A. van der Linden, H. A. Mulder, S. J. Oosting, L. Liu, and Y. Wang. "145. Classifying the likelihood of conception in dairy cow with milk mid-infrared spectra before the first insemination." In World Congress on Genetics Applied to Livestock Production. The Netherlands: Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_145.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kim, Hye-Sil, Okka Adiyanto, Jae-Young Byun, Jong-Min Park, Jong-Soon Kim, and Won-Sik Choi. "The Effect of Magnetic Water Treatment on Milk Fat and Somatic Cell in Dairy Cow Production." In Green and Smart Technology 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.120.117.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Gebregiwergis, G. T., N. K. Afseth, A. Kidane, E. Prestløkken, and T. H. E. Meuwissen. "131. Prediction of roughage intake of dairy cows combining milk mid-infrared spectra and cow variables by deep learning." In World Congress on Genetics Applied to Livestock Production. The Netherlands: Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_131.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Fedorova, Zinaida, and Vladimir Zarudnyy. "CHANGE OF DAIRY PRODUCTIVITY IN COWS WHEN REPLACING SOY GRAINS IN DIETS WITH EXTRUDED LUPINE." In Multifunctional adaptive fodder production 26 (74). ru: Federal Williams Research Center of Forage Production and Agroecology, 2021. http://dx.doi.org/10.33814/mak-2021-26-74-111-117.

Full text
Abstract:
The positive effect of extruded lupine grain in the composition of compound feed on the increase in milk productivity of cows was established, which made it possible to receive an additional 112 kg of milk and profit from the sale of milk — 1635 rubles on average per 1 head for the entire study period (75 days). An improvement in the qualitative composition of milk was revealed: the mass fraction of fat in cows in the experimental group was increased to 4.13%, compared to 3.87% in the control group; the mass fraction of protein in cows in the experimental group was 3.38%, while in cows in the control it was 3.27%.
APA, Harvard, Vancouver, ISO, and other styles
5

Fedorova, Zinaida, Yuri Tkachenko, and Vasily Bliadze. "USE OF ENERGOPROTEIN CONCENTRATES BASED ON LUPINE IN FEEDING DAIRY COWS IN THE CONDITIONS OF THE KALININGRAD REGION." In Multifunctional adaptive fodder production. ru: Federal Williams Research Center of Forage Production and Agroecology, 2020. http://dx.doi.org/10.33814/mak-2020-24-72-126-130.

Full text
Abstract:
The data on feeding dairy cows of an energy protein concentrate (EPC) are presented. EPC consists of grain of narrow-leaved lupine, flax, triticale, subjected to heat treatment on a press extruder. The effect of EPC on the change in milk production of cows was determined. The inclusion of extruded concentrate based on lupine grains in the diets of cows made it possible to obtain an increase in milk. Concentrate based on lupine, flax, triticale is equal in biological value to full-fat soy, and at a much lower cost.
APA, Harvard, Vancouver, ISO, and other styles
6

Sulistyowati, E., Jarmuji, S. Mujiharjo, Irnad, D. D. Listiono, and T. Supriadi. "Milk Production and Milk Income Over Feed Cost of Dairy Cow Fed Fermented Cassava, Tabut Block, and Concentrate Containing Curcuma xanthorhiza and Yeast." In International Seminar on Promoting Local Resources for Sustainable Agriculture and Development (ISPLRSAD 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/absr.k.210609.018.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

TRUKHACHEV, Vladimir, Sergey OLEYNIK, and Nikolay ZLYDNEV. "DAILY DYNAMICS OF MILK QUALITY INDICATORS." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.067.

Full text
Abstract:
Dairy cattle breeding is one of the main suppliers of protein and animal fat, it is one of the most important branches of agriculture and plays a primary role in providing adequate nutrition for the population. During the purposeful work on harmonization of the national regulatory framework with international legislation, special attention is paid to scientific developments in the way of full implementation of Russian livestock production in the global trading system. The recommendations of the International Committee for Registration of Animals (ICAR) (Global Standard…, 2017; Trukhachev et al., 2017) are the methodological basis for the introduction of the generally accepted organizational principles for the recording and evaluation of the productive qualities of animals. One of the stages of this process was implementation in 2015-2017. in the Stavropol State Agrarian University of research projects, especially significant for the agro-industrial complex of the Russian Federation in the direction of ensuring import substitution in animal husbandry (genetic material), which envisage the development of a regional model for the formation and management of highly productive genetic resources for dairy cattle. The object of the research was cattle (cows) of the North Caucasian population of the Ayrshire breed (n = 550), from which, based on the analysis of the materials of the primary zooveterinary records, groups of cows with 3-fold milking were formed to study the daily dynamics of fat and protein content in raw milk samples I, II and III milking, n = 240) and 2-fold milking (I and II milking - 180 cows). In the process of performing monthly analyzes of the quality of individual milk samples obtained from pedigree cows taken for 2- or 3-fold milking, it was found that a certain pattern is observed in the diurnal dynamics of fat and protein content in milk, which probably has a general biological nature and largely depends on the technological factor - the multiplicity of milking cows, which coincides, basically, with the regularities described in the methodology of the International Committee for Registration of Animals (ICAR). The nature of the dynamics of the concentration of fat in milk at 2- and 3-fold milking has, though a different mathematical form, but they have a general tendency: the fat in milk for milking cows, as a rule, is 10.77–10.98 % lower, than II and III milking. The variability of the protein concentration in milk during the day is the same as the fat dynamics, though it is less expressed than of fat and accounts 0.88%.
APA, Harvard, Vancouver, ISO, and other styles
8

Gril, Irena, and Marijan Pogačnik. "Izračun ogljičnega odtisa pri predelavi mleka." In Society’s Challenges for Organizational Opportunities: Conference Proceedings. University of Maribor Press, 2022. http://dx.doi.org/10.18690/um.fov.3.2022.20.

Full text
Abstract:
A lower environmental footprint of the final product can be achieved through modern technology in raw material production, processing, storage and transport. In milk production and processing, lower CO2 greenhouse gas emissions can also mean lower production costs. The paper deals with the carbon footprint of organic milk processing in the school dairy workshop of the Biotechnical Centre Naklo and covers the life cycle of dairy products from milk production, processing, packaging and distribution of the products to retail outlets and the use of the product by the consumer. The carbon footprint of full-fat curd produced in the traditional way by draining whey in sacks is calculated. The calculation is based on the material and financial accounting data and the annual business and financial plans and reports of the Institute. The calculation of the carbon footprint is based on the LCA methodology set out in PAS2050. The main contributors to the CO2eq of the product are milk production, plastic packaging, electricity and gas consumption. The total calculated emission for organic full-fat curd packed in 0.5 kg packaging is 7.19 kg CO2eq.
APA, Harvard, Vancouver, ISO, and other styles
9

Đoković, Radojica, Marko Cincović, Milun Petrović, Miloš Petrović, Boban Jašović, Biljana Anđelić, and Miroslav Lalović. "ŠEPAVOST MLEČNIH KRAVA – UZROCI, OBLICI, TRETMAN." In XXVII savetovanje o biotehnologiji. University of Kragujevac, Faculty of Agronomy, 2022. http://dx.doi.org/10.46793/sbt27.249dj.

Full text
Abstract:
The objective of this study was to describe the complex etiopathogenesis, forms, prevention and treatment of lameness in dairy cows. Since inflammation of the hoof mostly affects cows that have superior milk performance, it poses major health and economic issues. Laminitis can take different forms and courses, classified as acute and chronic, deep and superficial, aseptic and septic. Aseptic subdermatitis is of much greater concern, as it is a metabolic disease of the hoof corium with degenerative changes in the corium and horn. Its common causes are stress associated with calving, imbalanced diet, incidence of acidosis or alkalosis, high milk production, and overloading of the hooves. This results in the production of toxins, particularly histamine, in the forestomachs, leading to vasoconstriction, followed by vasodilation within the hoof corium and, consequently, oedema, hyperaemia, the destruction of blood vessels in the corium, and, at a later stage, degenerative changes in the corium and horn. Lameness develops, depending on the degree of pathological changes. Therefore, the prevention, early diagnosis and treatment of aseptic and septic laminitis are of major importance in managing the health and welfare of high-producing dairy cows.
APA, Harvard, Vancouver, ISO, and other styles
10

Petrović, Miloš, Radojica Đoković, Milun D. Petrović, Branislava Belić, Jože Starič, Miodrag Radinović, Boban Jašović, Miroslav Lalović, and Marko Cincović. "METABOLIČKI STRES KOD MLEČNIH KRAVA U RANOJ LAKTACIJI – OPŠTE KARAKTERISTIKE." In XXVII savetovanje o biotehnologiji. University of Kragujevac, Faculty of Agronomy, 2022. http://dx.doi.org/10.46793/sbt27.243p.

Full text
Abstract:
Milk production in dairy cows has increased significantly in the last few decades and continues to increase. The beginning of lactation requires extremely great effort from cows to overcome metabolic stress, so the frequency of cows' illness is the most intense in this period. Significant variations in the adaptive responses to lack of energy and nutrients in this period occur in the body of cows, with numerous endocrine, hematological, immunological and other changes. Therefore, cows should be provided with adequate nutrients for a balanced meal, both in the period of drought and in all phases of lactation.
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Milk production of dairy cow"

1

Huber, John Tal, Joshuah Miron, Brent Theurer, Israel Bruckental, and Spencer Swingle. Influence of Ruminal Starch Degradability on Performance of High Producing Dairy Cows. United States Department of Agriculture, January 1994. http://dx.doi.org/10.32747/1994.7568748.bard.

Full text
Abstract:
This research project entitled "Influence of Ruminal Starch Degradability on Performance of High Producing Dairy Cows" had the following objectives: a) Determine effects of feeding varying amounts of ruminally degradable starch (RDS) on efficiency of milk and milk protein production; and 2) Investigate digestive and metabolic mechanisms relating to lactation responses to diets varying in ruminal and total starch degradability. Four lactation studies with high producing cows were conducted in which steam-flaked (~ 75% RDS) was compared with dry-rolled sorghum (~ 50% RDS) grain. All studies demonstrated increased efficiency of conversion of feed to milk (FCM/DMI) and milk protein as amount of RDS in the diet increased by feeding steam-flaked sorghum. As RDS in diets increased, either by increased steam-flaked sorghum, grinding of sorghum, or increasing the proportion of wheat to sorghum, so also did ruminal and total tract digestibilities of starch and neutral-detergent soluble (NDS) carbohydrate. Despite other research by these two groups of workers showing increased non-ammonia N (NAN) flowing from the rumen to the duodenum with higher RDS, only one of the present studies showed such an effect. Post-absorptive studies showed that higher dietary RDS resulted in greater urea recycling, more propionate absorption, a tendency for greater output of glucose by the liver, and increased uptake of alpha-amino nitrogen by the mammary gland. These studies have shown that processing sorghum grain through steam-flaking increases RDS and results in greater yields and efficiency of production of milk and milk protein in high producing dairy cows.
APA, Harvard, Vancouver, ISO, and other styles
2

Medrano, Juan, Adam Friedmann, Moshe (Morris) Soller, Ehud Lipkin, and Abraham Korol. High resolution linkage disequilibrium mapping of QTL affecting milk production traits in Israel Holstein dairy cattle. United States Department of Agriculture, March 2008. http://dx.doi.org/10.32747/2008.7696509.bard.

Full text
Abstract:
Original objectives: To create BAC contigs covering two QTL containing chromosomal regions (QTLR) and obtain BAC end sequence information as a platform for SNP identification. Use the SNPs to search for marker-QTL linkage disequilibrium (LD) in the test populations (US and Israel Holstein cattle). Identify candidate genes, test for association with dairy cattle production and functional traits, and confirm any associations in a secondary test population. Revisions in the course of the project: The selective recombinant genotyping (SRG) methodology which we implemented to provide moderate resolution QTL mapping turned out to be less effective than expected, due to problems introduced by incomplete marker informativity. This required a no-cost one-year extension of the project. Aside from this, the project was implemented essentially as envisaged, but only with respect to a single QTLR and single population association-test. Background to the topic. Dairy cattle breeders are looking to marker-assisted selection (MAS) as a means of identifying genetically superior sires and dams. MAS based on population-wide LD can be many times more effective than MAS based on within-family linkage mapping. In this proposal we developed a protocol leading from family based QTL mapping to population-wide LD between markers and the QTL Major conclusions, solutions, achievements. The critical importance of marker informativity for application of the SRG design in outcrossing random mating populations was identified, and an alternative Fractioned Pool Design (FPD) based on selective DNA pooling was developed. We demonstrated the feasibility of constructing a BAC contig across a targeted chromosomal region flanking the marker RM188 on bovine chromosome BTA4, which was shown in previous work to contain a QTL affecting milk production traits. BAC end sequences were obtained and successfully screened for SNPs. LD studies of these SNPs in the Israel population, and of an independent set of SNPs taken across the entire proximal region of BTA4 in the USA population, showed a much lower degree of LD than previously reported in the literature. Only at distances in the sub-cM level did an appreciable fraction of SNP marker-pairs show levels of LD useful for MAS. In contrast, studies in the Israel population using microsatellite markers, presented an equivalent degree of LD at a 1-5 separation distance. SNP LD appeared to reflect historical population size of Bostaurus (Ne=5000- 10,000), while microsatellite LD appeared to be in proportion to more recent effective population size of the Holstein breed (Ne=50-100). An appreciable fraction of the observed LD was due to Family admixture structure of the Holstein population. The SNPs MEOX2/IF2G (found within the gene SETMAR at 23,000 bp from RM188) and SNP23 were significantly associated with PTA protein, Cheese dollars and Net Merit Protein in the Davis bull resource population, and were also associated with protein and casein percentages in the Davis cow resource population. Implications. These studies document a major difference in degree of LD presented by SNPs as compared to microsatellites, and raise questions as to the source of this difference and its implications for QTL mapping and MAS. The study lends significant support to the targeted approach to fine map a previously identified QTL. Using high density genotyping with SNP discovered in flanking genes to the QTL, we have identified important markers associated with milk protein percentage that can be tested in markers assisted selection programs.
APA, Harvard, Vancouver, ISO, and other styles
3

Butler, Walter R., Uzi Moallem, Amichai Arieli, Robert O. Gilbert, and David Sklan. Peripartum dietary supplementation to enhance fertility in high yielding dairy cows. United States Department of Agriculture, April 2007. http://dx.doi.org/10.32747/2007.7587723.bard.

Full text
Abstract:
Objectives of the project: To evaluate the effects of a glucogenic supplement during the peripartum transition period on insulin, hepatic triglyceride accumulation, interval to first ovulation, and progesterone profile in dairy cows. To compare benefits of supplemental fats differing in fatty acid composition and fed prepartum on hepatic triglyceride accumulation, interval to first ovulation, progesterone profile, and uterine prostaglandin production in lactating dairy cows. To assess the differential and carry-over effects of glucogenic and fat supplements fed to peripartum dairy cows on steroidogenesis and fatty acids in ovarian follicles. To determine the carry-over effects of peripartum glucogenic or fat supplements on fertility in high producing dairy cows (modified in year 3 to Israel only). Added during year 3 of project: To assess the activity of genes related to hepatic lipid oxidation and gluconeogenesis following dietary supplementation (USA only). Background: High milk yields in dairy cattle are generally associated with poor reproductive performance. Low fertility results from negative energy balance (NEBAL) of early lactation that delays resumption of ovarian cycles and exerts other carryover effects. During NEBAL, ovulation of ovarian follicles is compromised by low availability of insulin and insulin-like growth factor-I (IGF-I), but fatty acid mobilization from body stores is augmented. Liver function during NEBAL is linked to the resumption of ovulation and fertility: 1) Accumulation of fatty acids by the liver and ketone production are associated with delayed first ovulation; 2) The liver is the main source of IGF-I. NEBAL will continue as a consequence of high milk yield, but dietary supplements are currently available to circumvent the effects on liver function. For this project, supplementation was begun prepartum prior to NEBAL in an effort to reduce detrimental effects on liver and ovarian function. Fats either high or low in unsaturated fatty acids were compared for their ability to reduce liver triglyceride accumulation. Secondarily, feeding specific fats during a period of high lipid turnover caused by NEBAL provides a novel approach for manipulating phospholipid pools in tissues including ovary and uterus. Increased insulin from propylene glycol (glucogenic) was anticipated to reduce lipolysis and increase IGF-I. The same supplements were utilized in both the USA and Israel, to compare effects across different diets and environments. Conclusions: High milk production and very good postpartum health was achieved by dietary supplementation. Peripartum PGLY supplementation had no significant effects on reproductive variables. Prepartum fat supplementation either did not improve metabolic profile and ovarian and uterine responses in early lactation (USA) or decreased intake when added to dry cow diets (Israel). Steroid production in ovarian follicles was greater in lactating dairy cows receiving supplemental fat (unsaturated), although in a field trail fertility to insemination was not improved.
APA, Harvard, Vancouver, ISO, and other styles
4

Mizrach, Amos, Sydney L. Spahr, Ephraim Maltz, Michael R. Murphy, Zeev Schmilovitch, Jan E. Novakofski, Uri M. Peiper, et al. Ultrasonic Body Condition Measurements for Computerized Dairy Management Systems. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7568109.bard.

Full text
Abstract:
The body condition (BC) score is recognized in the dairy industry as an essential tool for managing the energy reserves of the dairy cow, which is essential for sustaining optimal and efficient production over several lactations. The current use of BC scoring depends on the accuracy of subjective visual estimates, and this limits its kusefulness as a management aid in the dairy industry. A measuring tool that would frequently provide objective data on the cow's body reserves would be a major contribution to efficient dairy herd management. Ultrasonic sensors have the potential to be developed into an efficient BC measuring device, and the experimental use of such sensors for subcutaneous fat thickness (SDFT) estimates, as an indication for BC in beef cattle, supports this assumption. The purposes of this project were: 1. To compare visual BC scoring and ultrasonic fat thickness with on-line automated body weight (BW) measurements as monitors of nutritional adequacy of dairy cows at various stages of lactation. 2. To determine the effects of variation in digestive fill in early and late lactation on the accuracy of body weight measurements in lactating cows. 3. To modify an existing ultrasonic system and develop a specialized, low-cost sensor for repeatable determination of body condition scores by users with minimal training and skill. 4. To develop a standard for the assignment of body condition scores based on ultrasonic measurements of subdermal fat thickness. The procedure to execute these objectives involved: 1. Frequent measurement of BW, milk yield (MY), BC (visually scored) and subdermal fat thickness ultrasonically measured of dairy cows, and data analysis on average and individual basis. 2. Testing and selection of an appropriate special-purpose sensor, finding an optimum body location for working an ultrasonic measurement, prcessing the signals obtained, and correlating the resulting measurements with performance responses in lactating cows. Linking the ultrasonic signals to BC scores, and developing a BC scoring data acquisition system are the first steps towards fulfilling the necessary requirements for incorporating this device into an existing dairy herd management system, in order to provide the industry with a powerful managment tool. From the results obtained we could conclude that: 1. BC does not correlate with BW changes during all stages of lactation, although in general terms it does. These results were confirmed by individual cow BW and BC data obtained during the course of lactation, that were supported by individual objective ultrasonic measurement of SDFT. 2. BW changes reflect energy metabolism reliably ony after peak milk yield; early in lactation, a decrease in BW expresses mobilization of body reserves only qualitatively, and not quantitatively. 3. Gastrointestinal content increases throughout the whole period during which dry matter intake (DMI) increases. The drastic increase very early in lactation prevents the use of BW changes as a basis for quantitative estimatio of energy meatabolism; at this stage of lactation, konly a BC score or any other direct measurements willl provide a quantitative estimate of energy metabolism. 4. Ultrasonic measurements of subdermal fat thickness can be used to quantify changes that correlate with the actual condition of the cow, as assessed by performance and the traditional way of scoring. 5. To find the best site on the cow's body at which to obtain responses to BC and its changes in the course of lactation, additional sites have to be examined. From the present study, it seems that the sites between ribs 12 and 13 have the potential for this purpose. 6. The use of templates made it easier to repeat measurements at a desired site and spot. However, the convenient easy-to-handle way to standardize the measurement, described in this study, koffers scope for improvement. 7. The RF peak values of the A-mode are better indicators of the location of fat layer borders than image analysis, from the point of view of future commercial development. 8. The distances between the RF peaks of the A-mode can be automatically measured by suitable software, for future commercial development. 9. Proper analysis of daily body weight and milk yield data can provide the necessary information on body condition changes during lactation, until a direct BC measurement device is developed. 10. In any case, at least one visual BC assessment has to be done, preferably immediately after calving, for calibration purposes.
APA, Harvard, Vancouver, ISO, and other styles
5

Mizrahi, Itzhak, and Bryan A. White. Uncovering rumen microbiome components shaping feed efficiency in dairy cows. United States Department of Agriculture, January 2015. http://dx.doi.org/10.32747/2015.7600020.bard.

Full text
Abstract:
Ruminants provide human society with high quality food from non-human-edible resources, but their emissions negatively impact the environment via greenhouse gas production. The rumen and its resident microorganisms dictate both processes. The overall goal of this project was to determine whether a causal relationship exists between the rumen microbiome and the host animal's physiology, and if so, to isolate and examine the specific determinants that enable this causality. To this end, we divided the project into three specific parts: (1) determining the feed efficiency of 200 milking cows, (2) determining whether the feed- efficiency phenotype can be transferred by transplantation and (3) isolating and examining microbial consortia that can affect the feed-efficiency phenotype by their transplantation into germ-free ruminants. We finally included 1000 dairy cow metadata in our study that revealed a global core microbiome present in the rumen whose composition and abundance predicted many of the cows’ production phenotypes, including methane emission. Certain members of the core microbiome are heritable and have strong associations to cardinal rumen metabolites and fermentation products that govern the efficiency of milk production. These heritable core microbes therefore present primary targets for rumen manipulation towards sustainable and environmentally friendly agriculture. We then went beyond examining the metagenomic content, and asked whether microbes behave differently with relation to the host efficiency state. We sampled twelve animals with two extreme efficiency phenotypes, high efficiency and low efficiency where the first represents animals that maximize energy utilization from their feed whilst the later represents animals with very low utilization of the energy from their feed. Our analysis revealed differences in two host efficiency states in terms of the microbial expression profiles both with regards to protein identities and quantities. Another aim of the proposal was the cultivation of undescribed rumen microorganisms is one of the most important tasks in rumen microbiology. Our findings from phylogenetic analysis of cultured OTUs on the lower branches of the phylogenetic tree suggest that multifactorial traits govern cultivability. Interestingly, most of the cultured OTUs belonged to the rare rumen biosphere. These cultured OTUs could not be detected in the rumen microbiome, even when we surveyed it across 38 rumen microbiome samples. These findings add another unique dimension to the complexity of the rumen microbiome and suggest that a large number of different organisms can be cultured in a single cultivation effort. In the context of the grant, the establishment of ruminant germ-free facility was possible and preliminary experiments were successful, which open up the way for direct applications of the new concepts discovered here, prior to the larger scale implementation at the agricultural level.
APA, Harvard, Vancouver, ISO, and other styles
6

Weller, Joel, Harris Lewin, Micha Ron, George Wiggans, and Paul VanRaden. A Systematic Genome Search for Genes Affecting Economic Traits Dairy Cattle with the Aid of Genetic Markers. United States Department of Agriculture, April 1999. http://dx.doi.org/10.32747/1999.7695836.bard.

Full text
Abstract:
The objectives were to continue collection of semen for the US dairy bull DNA repository, to conduct a systematic search of the Holstein genome for economically significant economic trait loci (ETL), to develop and refine statistical techniques for the analysis of the data generated, and to confirm significant effects by genotyping daughters i Israel and additional US sons. One-thousand-seventy-six sons of eight US grandsires were genotyped for 174 microsatellites located on all 29 autosomes. ETL were detected for milk production traits on seven chromosomes. ETL for milk and fat yield and fat and protein percentage on BTA3 was mapped to between the markers BL41 and TGLA263. The 95% confidence interval for the ETL affecting fat percentage on BTA14 localized this ETL between the contromere and chromosome position 11 cM. This ETL was verified in the Israeli cattle population by genotyping an independent sample of cows from seven families. The radiation hybrid data for the centromeric region of BTA14 is defined by a single linkage group. Order of Type I genes within this region, CYC-FADK-TG-SQLE, is conserved between human and cattle. Thus, HSA8, the human homologue of BTA14, can be used to identify candidate genes for the ETL.
APA, Harvard, Vancouver, ISO, and other styles
7

van Knegsel, Ariëtte T. M., H. Mollenhorst, Roselinde M. A. Goselink, and Yvette de Haas. Milk analysis and cow health : predicting dairy cow life span with milk sampling in early lactation. Wageningen: Wageningen Livestock Research, 2020. http://dx.doi.org/10.18174/544552.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Varga, Gabriella A., Amichai Arieli, Lawrence D. Muller, Haim Tagari, Israel Bruckental, and Yair Aharoni. Effect of Rumen Available Protein, Amimo Acids and Carbohydrates on Microbial Protein Synthesis, Amino Acid Flow and Performance of High Yielding Cows. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568103.bard.

Full text
Abstract:
The effect of rumen available protein amino acids and carbohydrates on microbial protein synthesis, amino acid flow and performance of high yielding dairy cows was studied. A significant relationship between the effective degradabilities of OM in feedstuffs and the in vivo ruminal OM degradation of diets of dairy cows was found. The in situ method enabled the prediction of ruminal nutrients degradability response to processing of energy and nitragenous supplements. The AA profile of the rumen undegradable protein was modified by the processing method. In a continuous culture study total N and postruminal AA flows, and bacterial efficiency, is maximal at rumen degradable levels of 65% of the CP. Responses to rumen degradable non carbohydrate (NSC) were linear up to at least 27% of DM. Higher CP flow in the abomasum was found for cows fed high ruminally degradable OM and low ruminally degradable CP diet. It appeared that in dairy cows diets, the ratio of rumen degradable OM to rumenally degradable CP should be at least 5:1 in order to maximize postruminal CP flow. The efficiency of microbial CP synthesis was higher for diets supplemented with 33% of rumen undegradable protein, with greater amounts of bacterial AA reaching the abomasum. Increase in ruminal carbohydrate availability by using high moisture corn increased proportions of propionate, postruminal nutrients flow, postruminal starch digestibility, ruminal availability of NSC, uptake of energy substrates by the mammory gland. These modifications resulted with improvement in the utilization of nonessential AA for milk protein synthesis, in higher milk protein yield. Higher postruminal NSC digestibility and higher efficiency of milk protein production were recorded in cows fed extruded corn. Increasing feeding frequency increased flow of N from the rumen to the blood, reduced diurnal variation in ruminal and ammonia, and of plasma urea and improved postruminal NSC and CIP digestibility and total tract digestibilities. Milk and constituent yield increased with more frequent feeding. In a study performed in a commercial dairy herd, changes in energy and nitrogenous substrates level suggested that increasing feeding frequency may improve dietary nitrogen utilization and may shift metabolism toward more glucogenesis. It was concluded that efficiency of milk protein yield in high producing cows might be improved by an optimization of ruminal and post-ruminal supplies of energy and nitrogenous substrates. Such an optimization can be achieved by processing of energy and nitrogenous feedstuffs, and by increasing feeding frequency. In situ data may provide means for elucidation of the optimal processing conditions.
APA, Harvard, Vancouver, ISO, and other styles
9

Dahl, Geoffrey E., Sameer Mabjeesh, Thomas B. McFadden, and Avi Shamay. Environmental manipulation during the dry period of ruminants: strategies to enhance subsequent lactation. United States Department of Agriculture, February 2006. http://dx.doi.org/10.32747/2006.7586544.bard.

Full text
Abstract:
The project resulted from earlier observations that environmental factors, especially photoperiod and temperature, had profound effects on milk yield in dairy cattle during lactation. More recently we had determined that photoperiod manipulation during the dry period altered milk yield in the next lactation, and this was associated with shifts in circulating concentrations of prolactin; specifically exposure to short days during the dry period decreases prolactin but increases milk yield. Because prolactin is also affected by temperature, with heat stress causing an increase in prolactin similar to that of long day exposure, we focused our efforts on determining prolactin signaling provides a common pathway for generation of environmental effects on mammary growth, development and subsequent function during the dry period of dairy ruminants. Over the project period we made significant progress toward testing our hypotheses that (I): In cows, there is a discrete duration of time during the dry period in which exposure to short days will result in optimal enhancement of mammary development and milk yield in the following lactation, and that this effect is mediated through demonstrable changes in mammary gland development, prolactin signaling, and mammary gene expression; and (II): Modulation of photoperiod and temperature during the dry period will affect milk yield in goats in the subsequent lactation via shifts in nutrient and endocrine partitioning, and mammary gene expression, during the dry period and into lactation. Cows exposed to short days for only the final 21 days of the dry period did not produce more milk that those on long day or natural photoperiod when dry. However, cows on short days for the entire 60 days dry did produce more milk than the other 3 groups. This indicates that there is a duration effect of short day exposure on subsequent milk yield. Results of the second study in cows indicate that mammary growth increases differentially during the dry period under long vs. short days, and that short days drive more extensive growth which is associated with altered prolactin signaling via decreases in an suppressors of cytokine signaling that represent an inhibitory pathway to mammary growth. Evidence from the studies in Israel confirms that goats respond to short days during the dry period in a similar manner to cows. In addition, heat stress effects on during the dry period can be limited by exposure to short days. Here again, shifts in prolactin signaling, along with changes in IGF-I secretion, are associated with the observed changes in mammary function in goats. These results have a number of biological and practical implications. For dairy producers, it is clear that we can recommend that cows and goats should be on reduced light exposure during the dry period, and further, cows and goats should be cooled to avoid heat stress during that time. Environmental influences on mammary growth are apparent during the dry period, and those effects have persistent impact in the subsequent lactation. Prolactin signaling is a consistent mechanism whereby extended light exposure and heat stress may depress mammary growth and development during the dry period. Thus, the prolactin signaling system offers an opportunity for further manipulation to improve production efficiency in dairy ruminants.
APA, Harvard, Vancouver, ISO, and other styles
10

Brosh, Arieh, Gordon Carstens, Kristen Johnson, Ariel Shabtay, Joshuah Miron, Yoav Aharoni, Luis Tedeschi, and Ilan Halachmi. Enhancing Sustainability of Cattle Production Systems through Discovery of Biomarkers for Feed Efficiency. United States Department of Agriculture, July 2011. http://dx.doi.org/10.32747/2011.7592644.bard.

Full text
Abstract:
Feed inputs represent the largest variable cost of producing meat and milk from ruminant animals. Thus, strategies that improve the efficiency of feed utilization are needed to improve the global competitiveness of Israeli and U.S. cattle industries, and mitigate their environmental impact through reductions in nutrient excretions and greenhouse gas emissions. Implementation of innovative technologies that will enhance genetic merit for feed efficiency is arguably one of the most cost-effective strategies to meet future demands for animal-protein foods in an environmentally sustainable manner. While considerable genetic variation in feed efficiency exist within cattle populations, the expense of measuring individual-animal feed intake has precluded implementation of selection programs that target this trait. Residual feed intake (RFI) is a trait that quantifies between-animal variation in feed intake beyond that expected to meet energy requirements for maintenance and production, with efficient animals being those that eat less than expected for a given size and level of production. There remains a critical need to understand the biological drivers for genetic variation in RFI to facilitate development of effective selection programs in the future. Therefore, the aim of this project was to determine the biological basis for phenotypic variation in RFI of growing and lactating cattle, and discover metabolic biomarkers of RFI for early and more cost-effective selection of cattle for feed efficiency. Objectives were to: (1) Characterize the phenotypic relationships between RFI and production traits (growth or lactation), (2) Quantify inter-animal variation in residual HP, (3) Determine if divergent RFIphenotypes differ in HP, residual HP, recovered energy and digestibility, and (4) Determine if divergent RFI phenotypes differ in physical activity, feeding behavior traits, serum hormones and metabolites and hepatic mitochondrial traits. The major research findings from this project to date include: In lactating dairy cattle, substantial phenotypic variation in RFI was demonstrated as cows classified as having low RMEI consumed 17% less MEI than high-RMEI cows despite having similar body size and lactation productivity. Further, between-animal variation in RMEI was found to moderately associated with differences in RHP demonstrating that maintenance energy requirements contribute to observed differences in RFI. Quantifying energetic efficiency of dairy cows using RHP revealed that substantial changes occur as week of lactation advances—thus it will be critical to measure RMEI at a standardized stage of lactation. Finally, to determine RMEI in lactating dairy cows, individual DMI and production data should be collected for a minimum of 6 wk. We demonstrated that a favorably association exists between RFI in growing heifers and efficiency of forage utilization in pregnant cows. Therefore, results indicate that female progeny from parents selected for low RFI during postweaning development will also be efficient as mature females, which has positive implications for both dairy and beef cattle industries. Results from the beef cattle studies further extend our knowledge regarding the biological drivers of phenotypic variation in RFI of growing animals, and demonstrate that significant differences in feeding behavioral patterns, digestibility and heart rate exist between animals with divergent RFI. Feeding behavior traits may be an effective biomarker trait for RFI in beef and dairy cattle. There are differences in mitochondrial acceptor control and respiratory control ratios between calves with divergent RFI suggesting that variation in mitochondrial metabolism may be visible at the genome level. Multiple genes associated with mitochondrial energy processes are altered by RFI phenotype and some of these genes are associated with mitochondrial energy expenditure and major cellular pathways involved in regulation of immune responses and energy metabolism.
APA, Harvard, Vancouver, ISO, and other styles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography