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| Genetic Analysis of Milk Yield in First-Lactation Holstein Friesian in Ethiopia: A Lactation Average vs Random Regression Test-Day Model Analysis |
| S. Meseret, B. Tamir, G. Gebreyohannes, M. Lidauer, E. Negussie |
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Asian-Australas J Anim Sci. 2015;28(9):1226-1234. Published online June 5, 2015 DOI: https://doi.org/10.5713/ajas.15.0173 |
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Comparing alternative random regression models to analyse first lactation daily milk yield data in Holstein–Friesian cattle Livestock Production Science. 2003;82(1):81-96  Random regression test-day parameters for first lactation milk yield in selection and production environments in Kenya Livestock Science. 2014;169:27-34 Lactation and Sample Test-Day Multi-trait animal model for genetic evaluation of somatic cell scores in Hungarian Holstein-Friesian crossbreeds Archives Animal Breeding. 2001;44(3):263-276 Estimates of genetic parameters for test day milk yields of a Holstein Friesian herd in Turkey with random regression models Archives Animal Breeding. 2007;50(4):327-336 Estimates of Genetic Parameters for a Test Day Model with Random Regressions for Yield Traits of First Lactation Holsteins Journal of Dairy Science. 1997;80(4):762-770 Use of test-day records to predict first lactation 305-day milk yield using artificial neural network in Kenyan Holstein–Friesian dairy cows Tropical Animal Health and Production. 2009;42(4):639-644 Season of birth is associated with first-lactation milk yield in Holstein Friesian cattle animal. 2017;11(12):2252-2259 Genetic parameters for test day milk yields of first lactation Holstein cows by random regression models animal. 2007;1(3):325-334 Genetic analysis of fat-to-protein ratio, milk yield and somatic cell score of Holstein cows in Japan in the first three lactations by using a random regression model Animal Science Journal. 2015;86(12):961-969 Genetic correlations between the cumulative pseudo-survival rate, milk yield, and somatic cell score during lactation in Holstein cattle in Japan using a random regression model Journal of Dairy Science. 2017;100(9):7282-7294 |
