Literature DB >> 19912419

Need for sharp phenotypes in QTL detection for calving traits in dairy cattle.

T Seidenspinner1, J Bennewitz, F Reinhardt, G Thaller.   

Abstract

The aim of the study was to investigate whether parity-specific phenotypes provide a clearer picture of quantitative trait loci (QTL) affecting calving traits in German Holsteins than breeding values estimated across parities. In experiment I, approximate daughter yield deviations were calculated by applying a univariate sire model assuming unrelated sires used as phenotypes in a QTL mapping study. These results were compared with those obtained using deregressed estimated breeding values obtained from the routine German sire evaluation (experiment II). In experiment I, 17 chromosome-wise significant QTL were found for the first parity, but only 12 for the second parity. Only three QTL for maternal stillbirth, located on BTA7, 15 and 23, showed an experiment-wise significance. Experiment II revealed 15 chromosome-wise significant QTL. The results differed markedly between first and second parity within experiment I, as well as between experiment I and II. The present study showed that parity-specific daughter yield deviations are beneficial for mapping QTL for calving traits. Furthermore, it is expected that the use of sharper phenotypes will also be advantageous for QTL fine mapping and the identification of candidate genes.

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Year:  2009        PMID: 19912419     DOI: 10.1111/j.1439-0388.2009.00804.x

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


  9 in total

1.  Genome-wide association study identifies two major loci affecting calving ease and growth-related traits in cattle.

Authors:  Hubert Pausch; Krzysztof Flisikowski; Simone Jung; Reiner Emmerling; Christian Edel; Kay-Uwe Götz; Ruedi Fries
Journal:  Genetics       Date:  2010-11-08       Impact factor: 4.562

2.  Meta-analysis of sequence-based association studies across three cattle breeds reveals 25 QTL for fat and protein percentages in milk at nucleotide resolution.

Authors:  Hubert Pausch; Reiner Emmerling; Birgit Gredler-Grandl; Ruedi Fries; Hans D Daetwyler; Michael E Goddard
Journal:  BMC Genomics       Date:  2017-11-09       Impact factor: 3.969

3.  Genome-wide association study of milk and reproductive traits in dual-purpose Xinjiang Brown cattle.

Authors:  Jinghang Zhou; Liyuan Liu; Chunpeng James Chen; Menghua Zhang; Xin Lu; Zhiwu Zhang; Xixia Huang; Yuangang Shi
Journal:  BMC Genomics       Date:  2019-11-08       Impact factor: 3.969

4.  Runs of homocigosity and its association with productive traits in Mexican Holstein cattle.

Authors:  José G Cortes-Hernández; Felipe J Ruiz-López; Carlos G Vásquez-Peláez; Adriana García-Ruiz
Journal:  PLoS One       Date:  2022-09-19       Impact factor: 3.752

5.  Analyzes of genome-wide association follow-up study for calving traits in dairy cattle.

Authors:  Johanna K Höglund; Bernt Guldbrandtsen; Mogens S Lund; Goutam Sahana
Journal:  BMC Genet       Date:  2012-08-14       Impact factor: 2.797

6.  Genome wide association studies for body conformation traits in the Chinese Holstein cattle population.

Authors:  Xiaoping Wu; Ming Fang; Lin Liu; Sheng Wang; Jianfeng Liu; Xiangdong Ding; Shengli Zhang; Qin Zhang; Yuan Zhang; Lv Qiao; Mogens Sandø Lund; Guosheng Su; Dongxiao Sun
Journal:  BMC Genomics       Date:  2013-12-17       Impact factor: 3.969

7.  Candidate genes for male and female reproductive traits in Canchim beef cattle.

Authors:  Marcos Eli Buzanskas; Daniela do Amaral Grossi; Ricardo Vieira Ventura; Flavio Schramm Schenkel; Tatiane Cristina Seleguim Chud; Nedenia Bonvino Stafuzza; Luciana Diniz Rola; Sarah Laguna Conceição Meirelles; Fabiana Barichello Mokry; Maurício de Alvarenga Mudadu; Roberto Hiroshi Higa; Marcos Vinícius Gualberto Barbosa da Silva; Maurício Mello de Alencar; Luciana Correia de Almeida Regitano; Danísio Prado Munari
Journal:  J Anim Sci Biotechnol       Date:  2017-08-23

8.  Including gene networks to predict calving difficulty in Holstein, Brown Swiss and Jersey cattle.

Authors:  Francesco Tiezzi; Maria E Arceo; John B Cole; Christian Maltecca
Journal:  BMC Genet       Date:  2018-04-02       Impact factor: 2.797

9.  A Genome-Wide Association Study for Calving Interval in Holstein Dairy Cows Using Weighted Single-Step Genomic BLUP Approach.

Authors:  Hadi Atashi; Mazdak Salavati; Jenne De Koster; Mark A Crowe; Geert Opsomer; Miel Hostens
Journal:  Animals (Basel)       Date:  2020-03-17       Impact factor: 2.752

  9 in total

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