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Adjustment of lactation curves of Holstein cows from herds of Minas Gerais, Brazil. Repositório Alice
AZEVEDO JUNIOR, J.; GONÇALVES, T. de M.; SOUZA, J. C. de; RODRIGUEZ, M. A. P.; COSTA, C. N.; CARVALHEIRA, J. G. V..
Abstract Random regression models (RRM) differ in terms of the functions used to describe the shape of lactation curves. The aim was to compare random regression models under different functions to describe the lactation curves from Holstein cows in herds of the state of Minas Gerais. A database of 28,118 production records was analyzed using the test-day records of 4,230 first parity cows from five herds. The Wilmink, Ali & Schaeffer and Legendre polynomial (orders 4, 5 and 6) functions were adjusted in RRM to model the mean production trend (fixed) and genetic and permanent environmental (random) effects. The residual variances were assumed to be constant throughout lactation. Analyses were performed using the AIREMLF90 program. Except for the model...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Models comparison; Permanent environmental effects; Random regression model; Dairy cattle; Heritability.
Ano: 2018 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1103873
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Persistence in milk, fat and protein production of primiparous Holstein cows by random regression models R. Bras. Zootec.
Biassus,Igor de Oliveira; Cobuci,Jaime Araújo; Costa,Claudio Napolis; Rorato,Paulo Roberto Nogara; Braccini Neto,José; Cardoso,Leandro Lunardini.
Total numbers of 56,508, 35,091 and 8,326 records of milk, fat, and protein test-day yields, respectively, were used to estimate genetic parameters for six persistency measures on milk, fat and protein productions of Holstein cows reared in Minas Gerais state. Covariance components for additive genetic effects and permanent environmental effects were estimated by REML in random regression models using Legendre polynomials from the third to the sixth order. Overall, models with the highest orders of Legendre polynomials showed the best quality of adjustments of these productive records. Heritability estimates obtained by the models for persistence in milk, fat, and protein yields ranged from 0.04 to 0.32, from 0.00 to 0.23, and from 0.00 to 0.27,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Genetic correlation; Heritability; Legendre polynomials; Random regression model; Selection.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982010001200009
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การประเมินพันธุกรรมความคงทนของการให้นํ้านมในโคนมลูกผสมโฮลสไตน์-ฟรีเชียนที่ให้ลูกครั้งแรกโดยใช้โมเดลรีเกรซชันสุ่ม Thai Agricultural
Phakphume Saowaphak; Monchai Duangjinda; Pongchan Na-Lampang; Pakanit Kuppitayanant; Choak Bulakul.
Objectives of this study were to 1) determine the appropriate Covariance Function Coefficient (CFC) number of Modified Normalized Legendre Polynomial (MNLP) using in Random Regression Models (RRLP) and 2) mathematical equation for calculate Persistency of Lactation (PL) value. All 9 RRLPs with different 3 to 5 CFC number nested within additive genetics and permanent environmental random effects were used to analyze total 25,845 test-day milk yield records of primiparous crossbred Holstein-Friesian dairy cattle from Chokchai farm. Variance components were estimated by average information-restricted maximum likelihood algorithm and predicted random effects with best linear unbiased prediction method. The results found that RRLP using 3 and 4 CFC numbers...
Tipo: Collection Palavras-chave: Persistency of lactation; Genetic evaluation; Random regression model; Primiparous crossbred Holstein-Friesian dairy cattle; โคนม; พันธุ์ลูกผสมโฮลสไตน์-ฟรีเชียน; การประเมินพันธุกรรม; โมเดลรีเกรซชันสุ่ม; ความคงทนของการให้นํ้านม; ค่าการผสมพันธุ์.
Ano: 2011 URL: http://anchan.lib.ku.ac.th/agnet/handle/001/5268
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