Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle

The objective of this study was to estimate the genetic parameters of milk protein yields in Iranian Holstein dairy cattle. A total of 1,112,082 test-day milk protein yield records of 167,269 first lactation Holstein cows, calved from 1990 to 2010, were analyzed. Estimates of the variance components...

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Main Authors: Masoumeh Naserkheil, Seyed Reza Miraie-Ashtiani, Ardeshir Nejati-Javaremi, Jihyun Son, Deukhwan Lee
Format: Article
Language:English
Published: Asian-Australasian Association of Animal Production Societies 2016-12-01
Series:Asian-Australasian Journal of Animal Sciences
Subjects:
Online Access:http://www.ajas.info/upload/pdf/ajas-29-12-1682.pdf
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author Masoumeh Naserkheil
Seyed Reza Miraie-Ashtiani
Ardeshir Nejati-Javaremi
Jihyun Son
Deukhwan Lee
author_facet Masoumeh Naserkheil
Seyed Reza Miraie-Ashtiani
Ardeshir Nejati-Javaremi
Jihyun Son
Deukhwan Lee
author_sort Masoumeh Naserkheil
collection DOAJ
description The objective of this study was to estimate the genetic parameters of milk protein yields in Iranian Holstein dairy cattle. A total of 1,112,082 test-day milk protein yield records of 167,269 first lactation Holstein cows, calved from 1990 to 2010, were analyzed. Estimates of the variance components, heritability, and genetic correlations for milk protein yields were obtained using a random regression test-day model. Milking times, herd, age of recording, year, and month of recording were included as fixed effects in the model. Additive genetic and permanent environmental random effects for the lactation curve were taken into account by applying orthogonal Legendre polynomials of the fourth order in the model. The lowest and highest additive genetic variances were estimated at the beginning and end of lactation, respectively. Permanent environmental variance was higher at both extremes. Residual variance was lowest at the middle of the lactation and contrarily, heritability increased during this period. Maximum heritability was found during the 12th lactation stage (0.213±0.007). Genetic, permanent, and phenotypic correlations among test-days decreased as the interval between consecutive test-days increased. A relatively large data set was used in this study; therefore, the estimated (co)variance components for random regression coefficients could be used for national genetic evaluation of dairy cattle in Iran.
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spelling doaj.art-b01b492825f2414ebc8181b46cd39cf42022-12-22T00:47:29ZengAsian-Australasian Association of Animal Production SocietiesAsian-Australasian Journal of Animal Sciences1011-23671976-55172016-12-0129121682168710.5713/ajas.15.076823510Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy CattleMasoumeh Naserkheil0Seyed Reza Miraie-Ashtiani1Ardeshir Nejati-Javaremi2Jihyun Son3Deukhwan Lee4 Department of Animal Life and Resources, Hankyong National University, Ansung 456-749, Korea Department of Animal Life and Resources, Hankyong National University, Ansung 456-749, Korea Department of Animal Life and Resources, Hankyong National University, Ansung 456-749, Korea Department of Animal Life and Resources, Hankyong National University, Ansung 456-749, Korea Department of Animal Life and Resources, Hankyong National University, Ansung 456-749, KoreaThe objective of this study was to estimate the genetic parameters of milk protein yields in Iranian Holstein dairy cattle. A total of 1,112,082 test-day milk protein yield records of 167,269 first lactation Holstein cows, calved from 1990 to 2010, were analyzed. Estimates of the variance components, heritability, and genetic correlations for milk protein yields were obtained using a random regression test-day model. Milking times, herd, age of recording, year, and month of recording were included as fixed effects in the model. Additive genetic and permanent environmental random effects for the lactation curve were taken into account by applying orthogonal Legendre polynomials of the fourth order in the model. The lowest and highest additive genetic variances were estimated at the beginning and end of lactation, respectively. Permanent environmental variance was higher at both extremes. Residual variance was lowest at the middle of the lactation and contrarily, heritability increased during this period. Maximum heritability was found during the 12th lactation stage (0.213±0.007). Genetic, permanent, and phenotypic correlations among test-days decreased as the interval between consecutive test-days increased. A relatively large data set was used in this study; therefore, the estimated (co)variance components for random regression coefficients could be used for national genetic evaluation of dairy cattle in Iran.http://www.ajas.info/upload/pdf/ajas-29-12-1682.pdfHolstein Dairy CattleMilk Protein YieldsRandom Regression ModelTest-day Records
spellingShingle Masoumeh Naserkheil
Seyed Reza Miraie-Ashtiani
Ardeshir Nejati-Javaremi
Jihyun Son
Deukhwan Lee
Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle
Asian-Australasian Journal of Animal Sciences
Holstein Dairy Cattle
Milk Protein Yields
Random Regression Model
Test-day Records
title Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle
title_full Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle
title_fullStr Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle
title_full_unstemmed Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle
title_short Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle
title_sort random regression models using legendre polynomials to estimate genetic parameters for test day milk protein yields in iranian holstein dairy cattle
topic Holstein Dairy Cattle
Milk Protein Yields
Random Regression Model
Test-day Records
url http://www.ajas.info/upload/pdf/ajas-29-12-1682.pdf
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