Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/19456
Title: Random regression test day models to estimate genetic parameters for milk yield and milk components in Philippine dairy buffaloes
Contributor(s): Flores, Ester Battad (author); Van Der Werf, Julius H  (author)orcid 
Publication Date: 2015
DOI: 10.1111/jbg.12133
Handle Link: https://hdl.handle.net/1959.11/19456
Abstract: Heritabilities and genetic correlations for milk production traits were estimated from first-parity test day records on 1022 Philippine dairy buffalo cows. Traits analysed included milk (MY), fat (FY) and protein (PY) yields, and fat (Fat%) and protein (Prot%) concentrations. Varying orders of Legendre polynomials (Legm) as well as the Wilmink function (Wil) were used in random regression models. These various models were compared based on log likelihood, Akaike's information criterion, Bayesian information criterion and genetic variance estimates. Six residual variance classes were sufficient for MY, FY, PY and Fat%, while seven residual classes for Prot%. Multivariate analysis gave higher estimates of genetic variance and heritability compared with univariate analysis for all traits. Heritability estimates ranged from 0.25 to 0.44, 0.13 to 0.31 and 0.21 to 0.36 for MY, FY and PY, respectively. Wilmink's function was the better fitting function for additive genetic effects for all traits. It was also the preferred function for permanent environment effects for Fat% and Prot%, but for MY, FY and PY, the Legm was the appropriate function. Genetic correlations of MY with FY and PY were high and they were moderately negative with Fat% and Prot%. To prevent deterioration in Fat% and Prot% and improve milk quality, more weight should be applied to milk component traits.
Publication Type: Journal Article
Source of Publication: Journal of Animal Breeding and Genetics, 132(4), p. 289-300
Publisher: Wiley-Blackwell Verlag GmbH
Place of Publication: Germany
ISSN: 0931-2668
1439-0388
Field of Research (FOR): 070201 Animal Breeding
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Statistics to Oct 2018: Visitors: 31
Views: 31
Downloads: 0
Appears in Collections:Journal Article

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

SCOPUSTM   
Citations

2
checked on Nov 26, 2018

Page view(s)

16
checked on Mar 5, 2019
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.