Literature DB >> 16537966

Major advances in determining appropriate selection goals.

G E Shook1.   

Abstract

Substantial increases of 3,500 kg of milk, 130 kg of fat, and 100 kg of protein per cow per lactation have resulted from improvements in genetics, nutrition, and management during the past 20 yr. At the same time, the interval from calving to conception increased (unfavorable) by 24 d. Genetics has accounted for about 55% of gains in the yield traits and about one-third of the change in interval to conception. Genetic gains in the yield traits and productive life have accumulated to around 1.7 and 1.2 genetic standard deviations since 1980. Unfavorable genetic changes in conception interval since 1980 and somatic cell score since 1990 have accumulated to 1.0 and 0.12 genetic standard deviations. The most important advance in selection indexes has been the introduction of nonyield traits. Advances in selection indexes have gone hand in hand with advances in data collection and genetic evaluation. As new traits were recorded in dairy management databases and as genetic evaluations were developed for these traits, they were incorporated into selection indexes. Until 1994, when somatic cell score and productive life were introduced, selection indexes provided by USDA included only yield traits. In 2000, composite type indexes for udder, feet and legs, and body size were added. Daughter pregnancy rate and service sire- and daughter-calving ease were included in 2003. The lifetime merit indexes introduced in 2003 have, for the first time, resulted in theoretical selection responses in the desired direction for all traits. During this time, the percentage relative economic weights in selection indexes increased from 0 to 45% for the nonyield traits. Selection emphasis on nonyield traits should continue to increase as additional traits (e.g., calf survival, metabolic disease, and male fertility) are introduced in the future. Wide variation exists among countries in traits included in selection indexes and in relative economic weights. Molecular genetic studies have identified many chromosome regions with potentially important major genes for economic traits. Use of DNA markers for genetic improvement is currently limited by lack of precision in marker location. Discovery of major genes will be accelerated by the availability of the bovine genome sequence, comparative genome maps and genome sequences across species, and increased use of breed crosses in molecular studies. As major genes are identified, their effects will be incorporated into genetic evaluations and selection indexes.

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Year:  2006        PMID: 16537966     DOI: 10.3168/jds.S0022-0302(06)72202-0

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  19 in total

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2.  Constraints on haplotype structure and variable gene frequencies suggest a functional hierarchy within cattle MHC class I.

Authors:  Gemma F Codner; James Birch; John A Hammond; Shirley A Ellis
Journal:  Immunogenetics       Date:  2012-03-28       Impact factor: 2.846

3.  Derivation of economic values for production traits in aquaculture species.

Authors:  Kasper Janssen; Paul Berentsen; Mathieu Besson; Hans Komen
Journal:  Genet Sel Evol       Date:  2017-01-05       Impact factor: 4.297

4.  Polymorphisms of the IL8 gene correlate with milking traits, SCS and mRNA level in Chinese Holstein.

Authors:  Renjin Chen; Zhangping Yang; Dejun Ji; Yongjiang Mao; Ying Chen; Yunlong Li; Haitao Wu; Xiaolong Wang; Lingling Chang
Journal:  Mol Biol Rep       Date:  2010-11-27       Impact factor: 2.316

5.  BRCA1: a new candidate gene for bovine mastitis and its association analysis between single nucleotide polymorphisms and milk somatic cell score.

Authors:  Zhengrong Yuan; Guiyan Chu; Yang Dan; Jiao Li; Lupei Zhang; Xue Gao; Huijiang Gao; Junya Li; Shangzhong Xu; Zhihua Liu
Journal:  Mol Biol Rep       Date:  2012-02-12       Impact factor: 2.316

6.  Genetic variants related to gap junctions and hormone secretion influence conception rates in cows.

Authors:  Mayumi Sugimoto; Shinji Sasaki; Yusaku Gotoh; Yuuki Nakamura; Yoshito Aoyagi; Takayoshi Kawahara; Yoshikazu Sugimoto
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-11       Impact factor: 11.205

7.  Whole genome resequencing of black Angus and Holstein cattle for SNP and CNV discovery.

Authors:  Paul Stothard; Jung-Woo Choi; Urmila Basu; Jennifer M Sumner-Thomson; Yan Meng; Xiaoping Liao; Stephen S Moore
Journal:  BMC Genomics       Date:  2011-11-15       Impact factor: 3.969

8.  Changing trends in mastitis.

Authors:  Rn Zadoks; Jl Fitzpatrick
Journal:  Ir Vet J       Date:  2009-04-01       Impact factor: 2.146

9.  Database of cattle candidate genes and genetic markers for milk production and mastitis.

Authors:  J Ogorevc; T Kunej; A Razpet; P Dovc
Journal:  Anim Genet       Date:  2009-06-08       Impact factor: 3.169

10.  Genome-wide scan reveals genetic divergence in Italian Holstein cows bred within PDO cheese production chains.

Authors:  Michela Ablondi; Massimo Malacarne; Claudio Cipolat-Gotet; Jan-Thijs van Kaam; Alberto Sabbioni; Andrea Summer
Journal:  Sci Rep       Date:  2021-06-15       Impact factor: 4.379

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