CrossRef Text and Data Mining
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Random Regression Models Are Suitable to Substitute the Traditional 305-Day Lactation Model in Genetic Evaluations of Holstein Cattle in Brazil
Alessandro Haiduck Padilha, Jaime Araujo Cobuci, Cláudio Napolis Costa, José Braccini Neto
Asian-Australas J Anim Sci. 2016;29(6):759-767.   Published online September 10, 2015

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Comparing alternative random regression models to analyse first lactation daily milk yield data in Holstein–Friesian cattle
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Estimates of genetic parameters for test day milk yields of a Holstein Friesian herd in Turkey with random regression models
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Genetic analysis of the cumulative pseudo-survival rate during lactation of Holstein cattle in Japan by using random regression models
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Genetic parameters for test day milk yields of first lactation Holstein cows by random regression models
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Genetic characteristics of Japanese Holstein cows based on multiple-lactation random regression test-day animal models
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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   Crossref logo
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Bayesian analysis of random regression models using B-splines to model test-day milk yield of Holstein cattle in Brazil
Livestock Science. 2012;150(1-3):401-406   Crossref logo
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Efficiency of part lactation test day records for genetic evaluations using fixed and random regression models
Animal Science. 2002;74(2):189-197   Crossref logo

A genetic analysis of 305-day yield in second lactation in Red Danish cattle and Black Pied Danish cattle
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Inferring Genetic Parameters of Lactation in Tropical Milking Criollo Cattle with Random Regression Test-Day Models
Journal of Dairy Science. 2008;91(11):4393-4400   Crossref logo
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