Literature DB >> 26968150

Genetic parameters for milk fatty acids, milk yield and quality traits of a Holstein cattle population reared under tropical conditions.

J Petrini1, L H S Iung1, M A P Rodriguez1, M Salvian1, F Pértille1, G A Rovadoscki1, L D Cassoli1, L L Coutinho1, P F Machado1, G R Wiggans2, G B Mourão3.   

Abstract

Information about genetic parameters is essential for selection decisions and genetic evaluation. These estimates are population specific; however, there are few studies with dairy cattle populations reared under tropical and sub-tropical conditions. Thus, the aim was to obtain estimates of heritability and genetic correlations for milk yield and quality traits using pedigree and genomic information from a Holstein population maintained in a tropical environment. Phenotypic records (n = 36 457) of 4203 cows as well as the genotypes for 57 368 single nucleotide polymorphisms from 755 of these cows were used. Covariance components were estimated using the restricted maximum likelihood method under a mixed animal model, considering a pedigree-based relationship matrix or a combined pedigree-genomic matrix. High heritabilities (around 0.30) were estimated for lactose and protein content in milk whereas moderate values (between 0.19 and 0.26) were obtained for percentages of fat, saturated fatty acids and palmitic acid in milk. Genetic correlations ranging from -0.38 to -0.13 were determined between milk yield and composition traits. The smaller estimates compared to other similar studies can be due to poor environmental conditions, which may reduce genetic variability. These results highlight the importance in using genetic parameters estimated in the population under evaluation for selection decisions.
© 2016 Blackwell Verlag GmbH.

Entities:  

Keywords:  Correlation; dairy cattle; genomics; heritability; single nucleotide polymorphism; somatic cell score

Mesh:

Substances:

Year:  2016        PMID: 26968150     DOI: 10.1111/jbg.12205

Source DB:  PubMed          Journal:  J Anim Breed Genet        ISSN: 0931-2668            Impact factor:   2.380


  7 in total

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Authors:  Oto Hanuš; Eva Samková; Ludmila Křížová; Lucie Hasoňová; Robert Kala
Journal:  Molecules       Date:  2018-07-04       Impact factor: 4.411

2.  Determination of Genetic Effects of LIPK and LIPJ Genes on Milk Fatty Acids in Dairy Cattle.

Authors:  Lijun Shi; Bo Han; Lin Liu; Xiaoqing Lv; Zhu Ma; Cong Li; Lingna Xu; Yanhua Li; Feng Zhao; Yuze Yang; Dongxiao Sun
Journal:  Genes (Basel)       Date:  2019-01-28       Impact factor: 4.096

3.  A post-GWAS confirming effects of PRKG1 gene on milk fatty acids in a Chinese Holstein dairy population.

Authors:  Lijun Shi; Xiaoqing Lv; Lin Liu; Yuze Yang; Zhu Ma; Bo Han; Dongxiao Sun
Journal:  BMC Genet       Date:  2019-07-03       Impact factor: 2.797

4.  Polymorphisms and genetic effects of PRLR, MOGAT1, MINPP1 and CHUK genes on milk fatty acid traits in Chinese Holstein.

Authors:  Lijun Shi; Lin Liu; Xiaoqing Lv; Zhu Ma; Yuze Yang; Yanhua Li; Feng Zhao; Dongxiao Sun; Bo Han
Journal:  BMC Genet       Date:  2019-08-16       Impact factor: 2.797

5.  Accuracy of genomic-polygenic estimated breeding value for milk yield and fat yield in the Thai multibreed dairy population with five single nucleotide polymorphism sets

Authors:  Bodin Wongpom; Skorn Koonawootrittriron; Mauricio A Elzo; Thanathip Suwanasopee; Danai Jattawa
Journal:  Asian-Australas J Anim Sci       Date:  2019-02-14       Impact factor: 2.509

6.  Association of single nucleotide polymorphisms in the fatty acid synthase, LOC514211, and fat mass and obesity-associated genes with milk traits in Indonesian-Holstein dairy cattle.

Authors:  Amalia Puji Rahayu; Tety Hartatik; Agung Purnomoadi; Edy Kurnianto
Journal:  Vet World       Date:  2019-07-30

7.  Assessment of Performance and Some Welfare Indicators of Cows in Vietnamese Smallholder Dairy Farms.

Authors:  Nguyen N Bang; Nguyen V Chanh; Nguyen X Trach; Duong N Khang; Ben J Hayes; John B Gaughan; Russell E Lyons; Nguyen T Hai; David M McNeill
Journal:  Animals (Basel)       Date:  2021-03-03       Impact factor: 2.752

  7 in total

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