Готові списки джерел за темами / Cattle Breeding

Добірка наукової літератури з теми "Cattle Breeding"

Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 23 лютого 2023

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  1. Статті в журналах
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  3. Книги
  4. Частини книг
  5. Тези доповідей конференцій
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Статті в журналах з теми "Cattle Breeding":

1

Penny, Colin. "Controlled breeding in cattle." In Practice 20, no. 7 (July 1998): 351–57. http://dx.doi.org/10.1136/inpract.20.7.351.

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2

ХАЙНАЦКИЙ, В. Ю. "BEEF CATTLE BREEDING INFRACTRUCTURE." Molochnoe i miasnoe skotovodstvo, no. 5 (October 14, 2022): 3–8. http://dx.doi.org/10.33943/mms.2022.65.86.001.

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Вопросы развития мясного скотоводства нельзя рассматривать в отрыве от всей инфраструктуры подотрасли. Селекционные достижения в видеживотных и стад с высоким генетическим потенциалом продуктивности являются только средствами производства, которые реализуются в производственных условиях — товарных хозяйствах и на откормочных предприятиях. В инфраструктуре подотрасли рассмотрены сферы производства как функционального назначения (основные и вспомогательные), так и по отраслевому признаку (межотраслевые и внутриотраслевые), дано краткое их описание и назначение. Показана важность каждого из них — племенных хозяйств, откормочных производств, организаций по искусственному осеменению, ассоциаций, рынков скота, мясоперерабатывающих предприятий, а также оптовой и розничной торговли. Особое внимание уделено необходимостиформирования в стране сети системообразующих предприятий, таких как откормочные площадки, а также рынков живого скота, вовлечения в производственный процесс крестьянских фермерских хозяйств, индивидуальных предпринимателей и личных подсобных хозяйств граждан, в пользовании которых находится до 50% поголовья крупного рогатого скота. The development of beef cattle breeding cannot be considered in isolation from the entire infrastructure of the sub-sector. Since such breeding achievements as animals and herds with a high genetic potential of productivity are only means of production that are realized in production conditions: commercial farms and fattening enterprises. In the infrastructure of the sub-sector, the spheres of production are considered as a functional purpose: main and auxiliary, and on an industry basis: inter-sectoral and intra-sectoral, their brief description and purpose are given. The importance of each of them is shown, and breeding farms and fattening industries, artificial insemination organizations and associations, livestock markets, meat processing enterprises, as well as wholesale and retail trade. Particular attention is paid to the need to form a network of core enterprises in the country, such as feedlots and livestock markets and the involvement of peasant farms and individual entrepreneurs and personal subsidiary farms in the production process, which use up to 50% of the cattle population.
3

Garmaev, D. T., and A. V. Tsydypova. "CATTLE BREEDING IN THE REPUBLIC OF BURYATIA: PROBLEMS AND PROSPECTS FOR DEVELOPMENT." Scientific Review Theory and Practice 11, no. 7 (2021): 2070–82. http://dx.doi.org/10.35679/2226-0226-2021-11-7-2070-2082.

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The article considers one of the main directions of increasing the level of food security of the country at the present time – the development of specialized beef cattle breeding, which contributes to an increase in pro- duction volumes in Russia and the Republic of Buryatia. The purpose of the article is to identify the problems of the development of the beef catle breeding industry; it is recommended to take measures to increase the production of beef meat in Russia and the Republic of Buryatia. Methods used: static, comparison, deductive analysis with a monographic survey, and also used logical, static, mathematical methods of information processing. The natural and climatic conditions of the republic are characterized as extreme, which increase costs, require disproportionately significant costs for the production of crop products, necessitate an increase in feed for the production of live- stock products, due to a long stall period and low negative temperatures determine its high cost. For the development of pedigree farms engaged in beef cattle breeding, the following measures will be taken: creation of stations for testing pedigree bulls on the basis of cows’ own productivity. Beef cattle breeding in the Republic of Buryatia is the most labor-intensive industry with a long payback period, therefore this sector is underdeveloped. The main problems of beef cattle breeding: the lack of high-value breeding bulls, the technology of dairy and beef cattle breeding is carried out on an extensive basis, and the low potential of livestock productivity. The following activities will take place. Measures to increase the production of high-quality beef: formation of a breeding base for beef cattle breeding based on the provision of differentiated subsidies for the maintenance of broodstock of beef cattle according to the “cow-calf” system in breeding plants and pedigree reproducers; purchase of pedigree young stock of specialized meat breeds.
4

Shumeiko, N. "Efficiency of breeding work in dairy cattle breeding." IOP Conference Series: Earth and Environmental Science 274 (June 7, 2019): 012081. http://dx.doi.org/10.1088/1755-1315/274/1/012081.

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5

БОГОЛЮБОВА, Л. П., С. В. НИКИТИНА, Е. А. МАТВЕЕВА, and Е. Е. ТЯПУГИН. "BREEDS COMPOSITION IN THE BREEDING MEAT CATTLE BREEDING IN RUSSIA." Molochnoe i miasnoe skotovodstvo, no. 1 (February 24, 2021): 10–12. http://dx.doi.org/10.33943/mms.2021.29.45.002.

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Изучен породный состав и численность племенного скота мясного направления продуктивности в Российской Федерации. На долю мясных пород в мире приходится 40% от всего поголовья крупного рогатого скота. В России специализированное мясное скотоводство как самостоятельную отрасль животноводства начали создавать в начале 30-х годов прошлого века. На современном этапе в нашей стране разводят 12 пород крупного рогатого скота мясного направления продуктивности. К наиболее многочисленным относят абердин ангусскую, калмыцкую, герефордскую и казахскую белоголовую. Относительная численность животных этих пород составляет около 97% от всего поголовья скота мясного направления продуктивности. Лимузинская, галловейская, обрак, шаролезская, салерс имеют небольшой удельный вес, и совсем незначительный — у таких пород, как симментальская мясная, русская комолая и бланк-блю бельж. Территориальные и климатические особенности России позволяют в настоящее время заниматься мясным скотоводством в 59 регионах во всех федеральных округах. В 2000 году разводили 9 пород в 7 округах с численностью племенных животных около 82 тыс. голов. В 2019 году поголовье племенного мясного скота составило более 359 тыс., принадлежащих 12 породам, что в 4,4 раза больше по сравнению с 2000 годом. The article discusses the breed composition and number of breeding cattle for meat production in the Russian Federation. There are thousands of different breeds in the world, but only a few dozen are classified as meat. The share of beef cattle in the world accounts for 40% of the livestock, respectively 60% are dairy cattle. In Russia, specialized beef cattle breeding as an independent branch of animal husbandry began to be created in the early 30s of the last century. At the present stage, 12 breeds are bred in the beef cattle breeding of our country. Numerous breeds include Aberdeen Angus, Kalmyk, Hereford and Kazakh white-headed. The relative number of these breeds is about 97% of animals in the meat production direction. The rest of the breeds (Limousine, Galloway, Obrak, Charolais and Salers) have a lower specific weight. It is necessary to distinguish breeds with an insignificant specific gravity - these are Simmental meat, Russian hornless and blank-blue belge. The territorial and climatic features of Russia currently allow for beef cattle breeding in 59 regions in all federal districts. In 2000, 9 breeds were bred in 7 districts with about 82 thousand breeding animals. In 2019, the number of pedigree beef cattle amounted to more than 359 thousand heads belonging to 12 breeds, which is 4.4 times more than in 2000.
6

Marinchenko, T. E. "Automation of dairy cattle breeding." IOP Conference Series: Earth and Environmental Science 624 (January 8, 2021): 012080. http://dx.doi.org/10.1088/1755-1315/624/1/012080.

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7

Hanusová, Lenka, Jindřich Čítek, Libor Večerek, Lucie Tothová, and Božena Hosnedlová. "Metabolic indicators in cattle breeding." Acta fytotechnica et zootechnica 19, Special Issue (September 1, 2016): 01–02. http://dx.doi.org/10.15414/afz.2016.19.si.01-02.

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8

Marinchenko, T. E. "Automation of dairy cattle breeding." IOP Conference Series: Earth and Environmental Science 624 (January 8, 2021): 012080. http://dx.doi.org/10.1088/1755-1315/624/1/012080.

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9

Petrov, Evgeniy, and Viktoriya Sidorova. "CATTLE BREEDING ENTERPRISES DIMENSION RANGE." Scientific Life 14, no. 8 (2019): 1341–51. http://dx.doi.org/10.35679/1991-9476-2019-14-8-1341-1351.

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10

Gaziev, Mahmud Hamidbekovich. "HANDICRAFTS DEALT WITH CATTLE - BREEDING." Theoretical & Applied Science 77, no. 09 (September 30, 2019): 286–92. http://dx.doi.org/10.15863/tas.2019.09.77.52.

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Статті в журналах Дисертації Книги

Дисертації з теми "Cattle Breeding":

1

Skrypzeck, Heidi. "An assessment of the contributions of Afrikaner, Hereford and Simmentaler in composite breed development in beef cattle." Thesis, Stellenbosch : Stellenbosch University, 2000. http://hdl.handle.net/10019.1/51591.

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Thesis (MScAgric)--University of Stellenbosch, 2000.
ENGLISH ABSTRACT: The objective of this study was to obtain more information regarding the characterisation of Afrikaner (A), Hereford (H) and Simmentaler (S) breeds in an initial crossbreeding programme and subsequent composite development. This involves the estimation of breed additive effects, breed maternal, individual heterotic effects and maternal heterotic effects in the initial crossbreeding phase and the estimation of genetic parameters and prediction of breeding values in later generations for birth weight (BW), weaning weight (WW) and cow efficiency (CE; WW/dam weight" 75 x 100) in an intensive environment under high stocking rates. In the analysis of the initial crossbreeding phase, the S breed direct effects, expressed as deviation from the general mean, were positive (P :s; 0.01) for both BW and WW. Hereford and A breed direct effects were negative (P :s; 0.01) for both BW and WW. Afrikaner direct maternal effects were positive (P :s; 0.01) for both BW and WW. The H direct maternal effect was negative (P :s; 0.05) (- 2.8%) for WW. Simmentaler maternal effect was negative (P :s; 0.01) for BW but non-significant (P ;:::0:.05) for WW. Individual heterotic effects for BW were significant (P:S; 0.01) in H x S (3.5%) and S x A (11.0%) only. Individual heterotic effects were positive (P :s; 0.01) for WW, with that of the H x A (9.8%) and S x A (6.7%) crosses exceeding the H x S (3.1%) cross. Maternal heterotic effects were non-significant (P ;:::0:.05) for both BW and WW. Investigations of the contributions of the A, Hand S during composite development in later generations, respectively, were made to estimate direct heritabilities (h2 a) and maternal heritabilities (h2 m) for BW and WW of the calf and CE of the dam. Calves were born between 1968 and 1993 (n = 52628). Calves of this composite population had varying levels of A, Hand S genes ranging from o to 75%, 0 to 100% and 0 to 96.9%, with an average of 4.3,19.3 and 33.4%, respectively. For the A, direct heritabilities fitting unitrait models were 0.67, 0.53 and 0.19 for BW, WW and CE, respectively, with corresponding estimates of h2mbeing 0.22, 0.36 and 0.58. Genetic correlations between direct and maternal effects (ram)were negative for all three traits, varying from -0.32 to - 0.62. Direct breeding values for BW increased and reached a maximum value at 0.11 proportion of A. The maternal breeding values for BW decreased linearly between 1.6 to 37.5% A proportion and increased linearly between 37.5 to 75% A proportion. For WW, the direct breeding values decreased linearly with increasing A proportion, while the maternal breeding values were not affected by proportion of A. Cow efficiency was unaffected by an increase in proportion of A. For the H, direct heritabilities fitting unitrait models were 0.67,0.52 and 0.21 for BW, WW and CE, respectively, with corresponding estimates of h2mbeing 0.22, 0.36 and 0.60. Genetic correlations between direct and maternal effects (ram)were negative for all three traits, varying from -0.32 to - 0.64. Direct breeding values and maternal breeding values for BW and WW decreased with increasing proportion of H. Direct breeding value for CE increased, while the maternal breeding value for CE reached minimum value at 0.62 proportion ofH. For the S, direct heritabilities fitting unitrait models were 0.66, 0.53 and 0.21 for BW, WW and CE, respectively, with corresponding estimates of h2m being 0.22, 0.36 and 0.59. Genetic correlations between direct and maternal effects (ram)were negative for all three traits, varying from -0.32 to - 0.63. Direct breeding values for BW and WW decreased and maternal breeding values increased with increasing proportion of S. Cow efficiency was unaffected by an increase in proportion of S. The study suggests that in the initial crossbreeding phase, purebred S breeding seems to be the best breeding practice for this environment and that during composite development, high A and H contributions could lead to low BW and WW (except the maternal contribution of the A for BW and WW). The advantage of the S lies more in the maternal contribution than in the direct contribution suggesting that the S is a large-framed maternal line rather than a terminal sire line.
AFRIKAANSE OPSOMMING: 'N WAARDEBEP ALING VAN DIE BYDRAE VAN DIE AFRIKANER, SIMMENTALER EN HEREFORD TYDENS KOMPOSIETE RASONTWIKKELING BY VLEISBEESTE: Die doel van die studie was om inligting aangaande die karakterisering van die Afrikaner (A), Hereford (H) en Simmentaler (S) rasse tydens die oorspronklike aanvangsfase van kruisteling en daaropvolgende komposiet ontwikkeling te verkry. Dit het die beraming van direkte additiewe, individuele heterose, direkte materne en materne heterotiese effekte tydens die aanvangsfase van die kruisteeltprogram, die beraming van genetiese parameters en die voorspelling van die teeltwaardes in latere generasies behels. Die eienskappe wat ingesluit is, is geboortegewig (BW), speengewig (WW) en koeidoeltreffendheid (CE; WW/koeigewigo.75 ). Hierdie kudde is in 'n intensiewe maar onder 'n hoë weidingsdruk omgewing aangehou. Tydens die ontleding van die eerste kruisteeltfase is die direkte additiewe effekte vir die S, uitgedruk as afwyking van die algemene gemiddelde, vir beide BW en WW positief (P ~ 0.01). Direkte additiewe effekte vir die H en A was vir beide BW en WW negatief (P ~ 0.01). Afrikaner materne effekte was vir beide BW en WW (P ~ 0.01) positief. Die H direkte materne effekte was negatief (-2.8%) (P ~ 0.05) vir WW. Simmentaler maternal effekte was ook vir BW negatief (P ~ 0.01), maar nie-betekenisvol (P 20.05) vir WW. Individuele heterose was slegs betekenisvol (P ~ 0.01) vir kombinasies van H x S (3.5%) en S x H (11.0%) vir BW. Individuele heterose was positief (P ~ 0.01) vir WW waar H x A (9.8%) en S x A (6.7%) kruisings dié van die H x S (3.1%) kruising oortrefhet. Materne heterose was vir beide BW en WW nie-betekenisvol (P 2 0.05). Die relatiewe bydraes van die A, H en S is ook tydens komposiet-ontwikkeling bereken. Direkte additiewe oorerflikhede (h2 a) en materne oorerflikhede (h2m) is vir BW en WW van die kalf en CE van die koei beraam. Kalwers in die komposiet kudde, gebore tussen 1968 en 1993 (n = 52628), het variërende vlakke van A, H en S gene. Die samestelling het gevarieer van 0 - 75%, 0 - 100% en 0 - 96.9%, met 'n gemiddeld van 4.3, 19.3 en 33.4%. Vir die A was die direkte erfbaarhede (h2 a), soos deur die passing van 'n enkeleienskapmodel beraam, 0.67, 0.53 en 0.19 vir onderskeidelik BW, WW en CE, met ooreenstemmende beramings van 0.22, 0.36 en 0.58 vir h2 rn- Genetiese korrelasies tussen direkte en mateme effekte (ram)was almal negatief en het tussen -0.32 en -0.62 gewissel. Direkte teelwaardes vir BW het met toenemende A-bydrae gestyg en het 'n maksimum waarde by 0.11 bereik. Die mateme teelwaardes vir BW het lineêr gedaal tussen 1.6 en 37.5% A-bydrae en het weer lineêr tussen 37.5 en 75% Abydrae gestyg. Vir WW het die direkte teelwaardes lineêr met toenemende A-bydrae gestyg, terwyl die mateme teelwaardes nie deur A-bydrae beïnvloed was nie. Koeidoeltreffendheid was nie deur 'n toename in A-bydrae beïnvloed nie. Vir die H was die direkte erfbaarhede (h2 a), soos deur die passing van 'n enkeleienskapmodel beraam 0.67, 0.52 en 0.21 vir onderskeidelik BW, WW en CE, met ooreenstemmende beramings van 0.22, 0.36 en 0.60 vir h2 rn- Genetiese korrelasies tussen direkte en mateme effekte (ram)was almal negatief en het tussen -0.32 en -0.64 gewissel. Direkte teelwaardes en mateme teelwaardes vir BW en WW het met toenemende H-bydrae gedaal. Direkte teelwaarde vir CE het ook met toenemende If-bydrae gedaal, terwyl die mateme teelwaarde 'n minimum waarde by 0.62 H-bydrae bereik het. Vir die S was die direkte erfbaarhede (h2a), soos deur die passing van 'n enkeleienskapmodel beraam 0.66, 0.53 en 0.21 vir onderskeidelik BW, WW en CE, met ooreenstemmende beramings van 0.22, 0.36 en 0.59 vir h2 m- Genetiese korrelasies tussen direkte en mateme effekte (ram)was almal negatief en het tussen -0.32 en -0.63 gewissel. Direkte teelwaardes vir BW en WW het gedaal, terwyl die mateme teelwaardes met toenemende S-bydrae gestyg het. Koeidoeltreffendheid was nie deur 'n toename in S-bydrae beïnvloed nie. Die bevinding was dat tydens die ontleding van die eerste kruisteeltfase die teling van suiwer S aanbeveel word en dat tydens komposiete-ontwikkeling toenemende A- en H-bydraes neig om aanleiding te gee tot afnames in BW en WW (behalwe die mateme bydrae van die A vir BW en WW). Die S-bydrae se voordeel is meer in die mateme bydrae as in die direkte bydrae geleë en dui dus aan dat die S as 'n mateme grootraam lyn i.p.v. as 'n terminale bullyn gebruik moet word.
2

Matjuda, Lehotlo Ephraim. "Development breeding objectives for the nguni cattle breed in South Africa." Thesis, University of Limpopo (Turfloop Campus), 2012. http://hdl.handle.net/10386/862.

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3

Afolayan, Raphael Abiodun. "Genetics of growth and development in cattle." Title page, table of contents and abstract only, 2003. http://web4.library.adelaide.edu.au/theses/09PH/09pha2579.pdf.

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4

Mazhar, Kehkashan. "Molecular genetic markers for selection and genome mapping in cattle." Thesis, University of Reading, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260797.

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5

Brown, Timothy P. (Timothy Phillip). "Selection indices in retrospect for dairy cattle." Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=59266.

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Selection differentials and selection indices in retrospect were calculated to determine the relative emphasis placed on production and type traits through bull selection. Indices in retrospect including only production traits indicated that, for Holsteins, fat yield was the trait most heavily selected for between 1978 and 1987, followed by protein percent and then milk yield. Fat percent and protein yield had negative index weights throughout the nine year period. In Ayrshires, similar weights were observed except that milk yield index weights were negative throughout the nine year period. It was found that the relative weight placed on type was small and did not affect the relative weights place on production traits. Within Holsteins, differences in bull selection when multiple services were required to successfully service a cow indicated that selection for overall size was reduced in later services. Within Ayrshires, there were no differences in any production or type trait within multiple services.
6

Meacham, Nancy S. "Heritability estimates for calving date in Simmental cattle." Thesis, Virginia Tech, 1987. http://hdl.handle.net/10919/45782.

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Variation among sires in daughters' reproductive performance was analyzed using data on 4,360 cows from nine herds obtained from the American Simmental Association. Cows were required to have at least 50% Simmental breeding, to have calved first at 2 yr of age and to have been born and subsequently calved in the same herd and season. Traits analyzed included first and second calving dates, first calving interval and the percentage of cows that returned to calve in the same season as 3-yr-olds. Data were adjusted for effects of percentage Simmental and first-calf calving ease score. At second calving, purebred Simmentals calved 1.7 ± 1.2 d later than 75% Simmental cattle and 5.1 ± 1.4 d later than 50% Simmental cattle. When compared to cows that calved without assistance at first calving, cows experiencing easy pulls were 1.7 ± 1.4% less likely to calve as 3-yr-olds and had 4.9 ± 1.0 d longer calving intervals. Cows with hard pulls were 9.0 ± 2.1% less likely to return and had 6.5 ± 1.6 d longer calving intervals. Cows requiring Cesarean section were 23.1± 2.5% less likely to return and had 19.6 ± 2.4 d longer calving intervals. Heritability estimates were .17 ± .04 for first calving date, .07 ± .06 for second calving date, .04:105 for calving interval and .11 ± .04 for percent return. Calving interval does not appear to be a useful selection criterion to improve reproduction. Phenotypic and genetic correlations of first calving date with calving interval were -.58 and -.83 ± .37, respectively. The genetic correlation between first and second calving dates was .66 ± .41. Given current data recording procedures, calving date appears to be the most useful potential selection criterion to improve reproductive fitness.
Master of Science
7

Mitchell, Jay Douglas. "An Economic Assessment of Genetic Information: Leptin Genotyping of Breeding Cattle." Thesis, North Dakota State University, 2006. https://hdl.handle.net/10365/29904.

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Recent studies show polymorphisms in the leptin gene significantly impact milk production in dairy cattle. If the leptin gene were to have a similar impact on beef cattle, calf weaning weights would be expected to increase from the increased milk production in the cows. Since weaning weight is a key component of profitability in a cow-calf operation, leptin genotyping may prove to have an economic impact in breeding cattle. However, no research has been done to link the economic impact of increased milk production to breeding cattle. Using 595 observations from genotyped cows spanning 11 years (1995-2005), calf weaning weight by genotype is estimated as a function of calf and dam characteristics and environmental effects. A MIXED procedure, utilizing data from 89 culled cows, is used to determine statistical differences in average cull age by genotype. A simulation model calculates mean annualized equivalent return by genotype and breed using the regression coefficients and residuals and 16 years of price data. results show that at least one T-allele in breeding cows increases calf weaning weight, average cull age, and annualized equivalent return compared to cows with homozygous C-alleles. These results indicate that there may be future premiums and discounts for breeding cattle based on genotype. Seedstock producers could potentially begin to segregate herds based upon genotype so that they could sell genotypic registered products. Cow-calf producers may also benefit from this knowledge by increasing the amount of TT genotype breeding cattle in their herd to maximize profits.
8

Green, Ronald T. "Evaluation of optimum and near optimum pair selection methods for increasing predicted relative net income in Jersey cattle." Thesis, Virginia Tech, 1987. http://hdl.handle.net/10919/45650.

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To evaluate the importance of non-linear relationships between Relative net income per day of productive life (RNI/DPL) and individual traits, 921,915 potential offspring were simulated from all possible matings of 20,487 Jersey cows and 45 active AI sires. Predicted milk yield, fat yield, and 13 linear type traits of potential progeny were used to predict RNI/DPL of all potential progeny.

Five methods of mate selection and pairing were evaluated for their effectiveness in choosing mates and the amount of computer time required to choose those pairings. Results of a linear programming (LP) method were used as a comparison for the other four more easily applied methods. Two of the other four methods were not significantly (P > .01) different from the LP method. Although the random pairing method was significantly different, similarity of results, for this method indicated non-linear relationships between RNI/DPL and individual trait scores are of minor importance. A11 four methods used considerable less computer time than the LP method.

Analysis of variance for predicted RNI/DPL (all possible offspring) indicated herd, dam within herd, sire, and inbreeding class to be significant (P < .01) variables in determining RNI/DPL. However the sire by dam within herd interaction did not significantly affect RNI/DPL, again indicating non-linear relationships between traits and RNI/DPL were not very important.

Regressing PDâ s, Clâ s, and their crossproducts for milk yield, fat yield, and 13 linear type traits showed the relative importance of crossproducts to be minimal in comparison to the linear ellects of parental genetic evaluations.


Master of Science
9

Botha, Theunis Christoffel. "Effect of selected physical and production traits on the tick burdens of beef cattle." Thesis, Port Elizabeth Technikon, 2002. http://hdl.handle.net/10948/91.

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The objective of this study was to determine the effect of selected traits such as age, sex, body weight, body length and height, body condition score (BCS), coatscore (CS), skin thickness and average skin surface temperature on tick burdens in beef cattle. Bonsmara cattle (n= 143) were used to measure visible tick counts, body condition score, coat score, skin thickness, body height and length, body weight, body surface temperature, gender and inter calving period. Measurements were taken from April to December. All animals were managed extensively on natural and cultivated pastures near George in the Southern Cape. Female animals had significantly (p<0.05) greater tick infestation (37.98±2.7) compared to male animals (16.52±1.2). Age was a significant factor (p<0.001) with the younger animals below two years having (46.40±5.26) more ticks than those of two years and older (20.15±2.44). A significant negative correlation (p<0.001; -0.29) was reported between the infestation of ticks on the animals and the age of the animal. Animals with an average body weight below 250kg had 42% (p<0.05) more ticks compared to animals with a body weight above 250kg. Age of the animal and weight were highly correlated (r= 0.70); p<0.001), while the correlation between the number of ticks per cow and the mean weight was negatively correlated (r= -0.37; p<0.001). Skin surface temperature significantly influenced tick infestation on the animals (p<0.001). The degree of infestation increased as body surface temperature exceeded 30º C. Coat score, skin thickness, body condition score and inter calving period did not significantly influence tick infestation on the animals. The infestation of ticks on the animals were significantly influenced by body height (p<0.019) and body length (p<0.001). Animals smaller than a 130cm in height had a significantly (p<0.05) greater tick infestation (36.5±5) compared to animals taller than 130cm (21.2±1.5). This trend was also observed for body length. Animals with a body length shorter than 145cm had a greater (p<0.05) average tick infestation of 41.3±4.5 compared to 23.2±1.3 to animals longer than 145cm, indicating a 44% greater tick infestation in favour of the shorter animals. For increased production and tick resistance animals should have smoother coats and be able to dissipate heat effectively.
10

Hossain, Khandaker Bayazid. "STATISTICAL GENETIC STUDY ON CATTLE BREEDING FOR DAIRY PRODUCTIVITY IN BANGLADESH." Kyoto University, 2000. http://hdl.handle.net/2433/151599.

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Kyoto University (京都大学)
0048
新制・課程博士
博士(農学)
甲第8568号
農博第1151号
新制||農||810(附属図書館)
学位論文||H12||N3447(農学部図書室)
UT51-2000-M32
京都大学大学院農学研究科応用生物科学専攻
(主査)教授 佐々木 義之, 教授 守屋 和幸, 教授 矢野 秀雄
学位規則第4条第1項該当
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Книги з теми "Cattle Breeding":

1

Rugg, Gordon. Breeding pedigree beef cattle. Maldon: Gordavian Books, 1997.

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2

Klopčič, Marija, Reinhard Reents, Jan Philipsson, and Abele Kuipers, eds. Breeding for robustness in cattle. The Netherlands: Wageningen Academic Publishers, 2009. http://dx.doi.org/10.3920/978-90-8686-657-1.

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3

Naqvi, Arif-un-Nisa. Dairy cattle breeding in Pakistan. Islamabad: Pakistan Agricultural Research Council, 1989.

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4

Esslemont, R. J. Fertility management in dairy cattle. London: Collins, 1985.

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5

Payne, W. J. A. Tropical cattle: Origins, breeds, and breeding policies. Oxford: Blackwell Science, 1997.

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6

Sreenan, J. M. Breeding the dairy herd. Dublin: Teagasc, 1992.

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7

Newham, Lucy. Beef cattle: Breeding, feeding, and showing. Chatswood, Australia: Inkata Press, 1994.

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8

Mpiri, D. B. Advances in cattle breeding in Tanzania. Dar es Salaam, Tanzania: Ministry of Agriculture & Livestock Development, Dept. of Research and Training, 1990.

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9

Barth, A. D. Bull breeding soundness evaluation. Saskatoon: Western Canadian Association of Bovine Practitioners, 1994.

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10

Ball, P. J. H. Reproduction in cattle. 3rd ed. Oxford, UK: Blackwell Pub., 2004.

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Частини книг з теми "Cattle Breeding":

1

Simm, Geoff, Geoff Pollott, Raphael Mrode, Ross Houston, and Karen Marshall. "Dairy cattle breeding." In Genetic improvement of farmed animals, 234–91. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789241723.0234.

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Abstract This chapter discussed the effects of applying the different principles in animal breeding such genetic analysis, predicting breeding values, use of tools and breeding technology, selection response within breeds, and strategies for genetic improvements in dairy cattle.
2

Miglior, Filippo, Sarah Loker, and Roger D. Shanks. "Dairy Cattle Breeding." In Encyclopedia of Sustainability Science and Technology, 2781–88. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_338.

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3

Berry, Donagh. "Beef Cattle Breeding." In Encyclopedia of Sustainability Science and Technology Series, 191–221. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2460-9_1116.

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4

Pryce, Jennie E. "Dairy Cattle Breeding." In Encyclopedia of Sustainability Science and Technology Series, 243–60. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2460-9_1117.

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5

Simm, Geoff, Geoff Pollott, Raphael Mrode, Ross Houston, and Karen Marshall. "Beef cattle breeding." In Genetic improvement of farmed animals, 292–318. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789241723.0292.

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Abstract This chapter highlights the application of genetic principles such as strategies for genetic improvements, selection response within breeds, tools and technologies in animal breeding, genetic analysis, and predicting values in beef cattle.
6

Berry, Donagh. "Beef Cattle Breeding." In Encyclopedia of Sustainability Science and Technology, 1–32. New York, NY: Springer New York, 2022. http://dx.doi.org/10.1007/978-1-4939-2493-6_1116-1.

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7

Pryce, Jennie E. "Dairy Cattle Breeding." In Encyclopedia of Sustainability Science and Technology, 1–18. New York, NY: Springer New York, 2022. http://dx.doi.org/10.1007/978-1-4939-2493-6_1117-1.

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8

Miglior, Filippo, Sarah Loker, and Roger D. Shanks. "Dairy Cattle Breeding." In Sustainable Food Production, 740–46. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5797-8_338.

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9

Spangler, Matthew L. "Breeding breeding/breed, see also animal breeding in Beef Cattle breeding/breed, see also animal breeding beef cattle." In Encyclopedia of Sustainability Science and Technology, 1723–40. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_339.

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10

Spangler, Matthew L. "Breeding breeding/breed, see also animal breeding in Beef Cattle breeding/breed, see also animal breeding beef cattle." In Sustainable Food Production, 328–45. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5797-8_339.

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Тези доповідей конференцій з теми "Cattle Breeding":

1

Honcharenko, I. V. "The cattle breeding in Ukraine: development conditions." In Current problems of modern animal husbandry. �������� ������������ �������� ������ "������-����" - ������������ ����������-���������� ����� � ���������, 2021. http://dx.doi.org/10.33694/978-966-1550-33-8-2021-0-0-33-35.

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2

Kruhliak, O. V. "Effective management factor of pedigree dairy cattle breeding." In Current problems of modern animal husbandry. �������� ������������ �������� ������ "������-����" - ������������ ����������-���������� ����� � ���������, 2021. http://dx.doi.org/10.33694/978-966-1550-33-8-2021-0-0-51-52.

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3

Genov, Stefan. "METHODOLOGY FOR ECONOMIC EFFICIENCY EVALUATION AT BEEF CATTLE BREEDING." In AGRIBUSINESS AND RURAL AREAS - ECONOMY, INNOVATION AND GROWTH 2021. University publishing house "Science and Economics", University of Economics - Varna, 2021. http://dx.doi.org/10.36997/ara2021.334.

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The report proposes a methodological framework for an in-depth analysis of the economic efficiency at beef cattle breeding. Different approaches and methods for evaluation based on performance indicators proposed by other authors are considered. Based on them, new ones have been synthesized and proposed, which are considered to be decisive for the economic efficiency of farms. The indicators are grouped in order to analyze the individual elements of the production technology and the organizational and economic part of the breeding.
4

Tarjan, Laslo, Ivana Senk, Doni Pracner, Dusan Rajkovic, and Ljuba Strbac. "Possibilities for applying machine learning in dairy cattle breeding." In 2021 20th International Symposium INFOTEH-JAHORINA (INFOTEH). IEEE, 2021. http://dx.doi.org/10.1109/infoteh51037.2021.9400672.

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5

Ishchuk, Oksana V. "Problems of dairy cattle breeding development in the region." In Агропромышленный комплекс: проблемы и перспективы развития. Благовещенск: Дальневосточный государственный аграрный университет, 2022. http://dx.doi.org/10.22450/9785964205517_4_30.

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6

Suratma, Nyoman Adi, I. M. Dwinta, F. Mubarok, and A. N. Alamsyah. "Prevalence of Gastrointestinal Tract Worms in Bali Cattle at Bali Cattle Breeding Center, Sobangan, Badung." In Proceedings of International Seminar on Livestock Production and Veterinary Technology. Indonesian Center for Animal Research and Development (ICARD), 2016. http://dx.doi.org/10.14334/proc.intsem.lpvt-2016-p.153-155.

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7

Zaiqiong Wang, Zetian Fu, Wei Chen, and Jinyou Hu. "A RFID-based traceability system for cattle breeding in China." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5620675.

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8

Ishchuk, Oksana V. "Factors influencing the development of dairy cattle breeding in Russia." In Агропромышленный комплекс: проблемы и перспективы развития. Благовещенск: Дальневосточный государственный аграрный университет, 2022. http://dx.doi.org/10.22450/9785964205517_4_31.

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9

Boon, Paul. "Challenges on Cattle Breeding of Smallholder Farmer Toward 4.0 Era." In Teknologi Peternakan dan Veteriner Mendukung Kemandirian Pangan di Era Industri 4.0. IAARD Press, 2019. http://dx.doi.org/10.14334/pros.semnas.tpv-2019-p.12-16.

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10

Arnaldy, Defiana, Heru Sukoco, Shelvie Nidya Neyman, Muladno, and Kudang Boro Seminar. "Cattle Breeding Management using Smart System: A Systematic Literature Review." In 2022 5th International Conference of Computer and Informatics Engineering (IC2IE). IEEE, 2022. http://dx.doi.org/10.1109/ic2ie56416.2022.9970169.

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Звіти організацій з теми "Cattle Breeding":

1

Freeman, A. E. Gene, and P. Jeffrey Berger. Overview of Dairy Cattle Breeding. Ames (Iowa): Iowa State University, January 2004. http://dx.doi.org/10.31274/ans_air-180814-103.

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2

Wilson, Doyle E., Abebe T. Hassen, Gene H. Rouse, and Richard G. Tait. Beef Cattle Breeding Project Progress Report: Body Composition EPDs Determined from Ultrasound Measures. Ames: Iowa State University, Digital Repository, 2001. http://dx.doi.org/10.31274/farmprogressreports-180814-1066.

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3

Wilson, D. E., Abebe T. Hassen, Gene H. Rouse, and Richard G. Tait. Beef Cattle Breeding Project Progress Report: Body Composition EPD Determined from Ultrasound Measures. Ames: Iowa State University, Digital Repository, 2002. http://dx.doi.org/10.31274/farmprogressreports-180814-125.

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4

Wilson, Doyle E., Abebe T. Hassen, Gene H. Rouse, and Richard G. Tait. Beef Cattle Breeding Project Progress Report: Body Composition EPD Determined from Ultrasound Measures. Ames: Iowa State University, Digital Repository, 2002. http://dx.doi.org/10.31274/farmprogressreports-180814-1334.

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5

Wilson, Doyle E., Abebe T. Hassen, Gene H. Rouse, and Richard G. Tait. Beef Cattle Breeding Project Progress Report: Body Composition EPDs Determined from Ultrasound Measures. Ames: Iowa State University, Digital Repository, 2001. http://dx.doi.org/10.31274/farmprogressreports-180814-453.

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6

Foote, Robert H., Samuel Amir, T. J. Reimers, Haim Schindler, and S. Eger. Hormonal Relationships to Milk Yield, Energy Balance and Breeding Efficiency in Dairy Cattle. United States Department of Agriculture, October 1986. http://dx.doi.org/10.32747/1986.7566708.bard.

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7

Hassen, Abebe T., Doyle E. Wilson, Gene H. Rouse, and Richard G. Tait. Beef Cattle Breeding Project Progress Report: Growth-Trait EPDs for 1998- and 1999-Born Calves. Ames: Iowa State University, Digital Repository, 2001. http://dx.doi.org/10.31274/farmprogressreports-180814-68.

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8

Hassen, Abebe T., Doyle E. Wilson, Gene H. Rouse, and Richard G. Tait. Beef Cattle Breeding Project Progress Report: Growth-Trait EPDs for 1998- and 1999-Born Calves. Ames: Iowa State University, Digital Repository, 2001. http://dx.doi.org/10.31274/farmprogressreports-180814-706.

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9

Hassen, Abebe T., D. E. Wilson, Gene H. Rouse, and Richard G. Tait. Beef Cattle Breeding Project Progress Report: Growth Trait EPDs for 1998-, 1999-, and 2000-born Calves. Ames: Iowa State University, Digital Repository, 2002. http://dx.doi.org/10.31274/farmprogressreports-180814-705.

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10

Hassen, Abebe T., Doyle E. Wilson, and Gene H. Rouse. Beef Cattle Breeding Project Progress Report: Growth Trait EPDs for 1998-, 1999-, and 2000-born Calves. Ames: Iowa State University, Digital Repository, 2002. http://dx.doi.org/10.31274/farmprogressreports-180814-766.

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