Добірка наукової літератури з теми "Autofeeder"
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Статті в журналах з теми "Autofeeder"
Alansar, A. Marsha, Setyawan Dwi Nugroho, and Rizqi Ilmal Yaqin. "THE DESIGN OF AUTOFEEDER USING POLY VINIL CHLORIDE (PVC) THROWER FOR SHRIMP POND." Coastal and Ocean Journal (COJ) 4, no. 2 (December 7, 2020): 83–88. http://dx.doi.org/10.29244/coj.4.2.83-88.
Повний текст джерелаAlviani, A. Marsha, Sutrisno, and Iskandar Dinata. "THE STUDY OF AUTOFEEDER LAYOUT AND THROWER DISTANCE AT CV PUTRA GUNUNG SARI SEGARA VILLAGE LELATENG KECAMATAN NEGARA KABUPATEN JEMBRANA, BALI PROVINCE." Coastal and Ocean Journal (COJ) 4, no. 2 (October 30, 2020): 63–68. http://dx.doi.org/10.29244/coj.4.2.63-68.
Повний текст джерелаIbrahim, M., H. Zakaria, and EE Wei Xian. "Pet food autofeeder by using Arduino." IOP Conference Series: Materials Science and Engineering 670 (December 2, 2019): 012069. http://dx.doi.org/10.1088/1757-899x/670/1/012069.
Повний текст джерелаG.G., Partridge, Fisher J., Gregory H, and Prior S.G. "Automated wet feeding of weaner pigs versus conventional dry diet feeding -effects on growth rate and feed consumption." Proceedings of the British Society of Animal Production (1972) 1992 (March 1992): 136. http://dx.doi.org/10.1017/s0308229600022479.
Повний текст джерелаArsad, Sulastri. "Pemberdayaan Pembudidaya Kerapu Melalui Aplikasi Automatic Fish Feeder Untuk Efisiensi Pakan Di Tambak Budidaya Semi Intensif." ETHOS (Jurnal Penelitian dan Pengabdian) 7, no. 1 (January 21, 2019): 108–13. http://dx.doi.org/10.29313/ethos.v7i1.4216.
Повний текст джерелаHess, Jennifer A., Laurel D. Kincl, Jim T. Albers, and Robin R. High. "Ergonomic evaluation of an extension screw gun to improve work postures." Occupational Ergonomics 8, no. 1 (September 10, 2008): 27–40. http://dx.doi.org/10.3233/oer-2008-8103.
Повний текст джерелаArunkumar, G., J. Tison Antonio, and Velayutham Pon. "Design and Development of Autofeed Pneumatic Punching and Riveting Machine." Journal of Physics: Conference Series 2054, no. 1 (October 1, 2021): 012025. http://dx.doi.org/10.1088/1742-6596/2054/1/012025.
Повний текст джерелаMeerson, E. M., B. K. Ilyin, B. H. Burdygin, C. C. Rodionova, L. V. Balberkin, and S. I. Mitin. "Clonal analysis of bone marrow stromal cells in multiple exostotic chondrodysplasia and systemic osteoporosis: features of cell cloning efficiency." N.N. Priorov Journal of Traumatology and Orthopedics 1, no. 2 (June 12, 2022): 51–54. http://dx.doi.org/10.17816/vto64901.
Повний текст джерела"New autofeeder from Autosplice." Soldering & Surface Mount Technology 14, no. 2 (August 2002). http://dx.doi.org/10.1108/ssmt.2002.21914bad.007.
Повний текст джерелаIngale, Shashikant, and Tushar R. Deshmukh. "Study and Design Optimization of Autofeeder Side Cover of Ginning Machine: A Review." International Journal of Innovative and Emerging Research in Engineering 4, no. 11 (December 1, 2017). http://dx.doi.org/10.26769/ijiere.2017.4.11.191514.
Повний текст джерелаДисертації з теми "Autofeeder"
(8876651), Tabitha S. Steckler. "EARLY LIFE EVENTS ALTER FUTURE HOLSTEIN HEIFER GROWTH, SURVIVABILITY, REPRODUCTION, AND FIRST LACTATION MILK PRODUCTION." Thesis, 2020.
Знайти повний текст джерелаThe
objective of this study was to evaluate the long-term effects that early life
events have on heifer growth up to 400 d of age, heifer conception rate,
survivability through first lactation, and first lactation milk production of
calves raised in automatic calf feeders. Chapter one evaluates possible early
life variables that would affect heifer growth and lifetime production as well
as research that has been done to predict future growth. The major points
discussed include pre-weaning feeding strategies, automatic calf feeding
systems, respiratory disease and ways to diagnose cattle with this disease, and
the impact of early
life growth on the future productivity of the dairy cow.
The second chapter discusses in detail the process of creating a predictive equation using significant early life variables that affect Holstein heifer growth up to 400 d of age. Variables collected for the growth analysis included sixty d cumulative milk consumption (MC), serum total protein values, respiratory disease and scours incidences, genetic body size, birthweights, and incremental body weight variables on a commercial dairy farm from October 1, 2015 to January 1, 2019. Calves were fed pasteurized whole milk through an automated calf feeding system (feeders = 8) for 60 d (range: 48 – 126d), with a 30% Crude Protein (CP) and 5% Crude Fat enhancer added at 20 g/L of milk. Calves were weighed at birth and several other times prior to calving. Average birth weight of calves was 40.6 ± 4.9 kg (mean ± SD), serum total protein was 6.7 ± 0.63 g/dL, and cumulative 60 d MC was 508.1 ± 67.3 L with a range of 179.9 to 785.1 L. Daily body weights were predicted for individual animals using a third order orthogonal polynomial to model growth curves. The linear and quadratic effects of cumulative 60 d milk consumption, birthweight, feeder, yr born, season born, respiratory incidence, and genetic body size score were significant (P<0.0001) when predicting heifer body weight at 400 d (pBW400) of age (R2=0.31). There was up to a 263 kg difference in pBW400 between the heaviest and lightest animal. Birthweight had a significant effect on predicted weights up to 400 d (P<0.0001), and for every 1 kg increase in birthweight, there was a 2.5 kg increase in pBW400. The quadratic effect of cumulative 60 d MC was significant for pBW400 (P<0.0001). When 60 d MC was divided into quartiles, heifers had the highest pBW400 in the third quartile, when 60 d MC was between 507.8 and 552.5 L. Body size composite (genomic index) showed a 21.5 kg difference in pBW400 between the top and bottom 25th percentile of heifers. Heifers were 4.2 kg lighter at 400 d if treated for respiratory disease 3+ times during the first 60 d of life, compared to heifers not treated for respiratory disease.
The third chapter utilizes the data described in chapter two and followed those heifers through breeding and first lactation. Heifer conception age and 280 d first lactation milk production (280M) were collected. Average age at conception was 437.5 ± 45.0 d; range of 308 to 631 d (n=5,193), and average 280M was 9,305 ± 1,371.8 kg; range of 712-13,358 kg (n=1,324). Heifer conception age was impacted by season, yr, and the quadratic effects of predicted bodyweight at 300 d of age (pBW300) and ADG (0-400; all P < 0.05; total model R2 = 0.08). Season born, ADG (0 - 400 d), genomic milk, and the linear effect of heifer conception age had a significant impact on 280M (all P < 0.05; R2 = 0.28). For every 1 kg increase in genomic milk value there is 1.42 kg increase in first lactation 280M. Calves not diagnosed with bovine respiratory disease (BRD) from 60-120 d old had a significantly higher chance for survival to first lactation than animals treated three or more times for BRD (hazard ratio = 0.71, 95% CI = 0.574 to 0.886, P = 0.0023, Table 3.3). Heifers treated twice or more for BRD had reduced likelihood to become pregnant than heifers not treated for BRD from 60-120 d (twice P = 0.02; three or more P = 0.05).
In conclusion, the results from this thesis support that early life events in Holstein heifers continue to influence future growth and productivity. Future research aims to validate the predictive equation generated in chapter two on farm as well as adapt the equation to other farms allowing them to utilize it as well. The goal is to have farms utilize this tool to aid in their replacement heifer management decisions and to select the most productive heifers for the future of their herds.
Тези доповідей конференцій з теми "Autofeeder"
Gazen, Bora, and Steven Minton. "AutoFeed." In the 3rd international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1088622.1088625.
Повний текст джерела