{"title":"Genotype by Country Interaction for Birth and Weaning Weights for Shorthorn Cattle in Australia and the United States","authors":"K. Kuha, H. Graser, D. Johnston, S. Tumwasorn","doi":"10.2004/WJST.V1I2.183","DOIUrl":null,"url":null,"abstract":"Birth (BW) and weaning weights (WW) of Shorthorn beef cattle used to study the genotype by country (G´C) interactions between Australia (AU) and the United States (US). Data were collected depending on the connectedness on genetic links of common sires. The edited data consisted of numbers of sire, dam and calf of 2,013, 19,784 and 42,963 in AU and 4,797, 38,648 and 95,849 in the US, respectively. After that, sets of data were combined together and corresponding traits from different countries were treated as different traits. Therefore, a bivariate animal model including maternal genetic and permanent environment effects was used to study the interactions. No covariance due to maternal permanent environmental and environmental effects {cov(pe1,pe2) and cov(e1,e2) = 0} was assumed. Estimates of (co)variance components have been done by restricted maximum likelihood. Variance component estimates of the same trait across countries were slightly different. Direct and maternal genetic correlations (in parentheses) between corresponding traits were 0.93 (0.93) and 0.78 (0.86) for BW and WW, respectively. This implied that a joint BW genetic evaluation could be conducted using a model that treated the information as a single population. For WW, sires across AU and the US needed evaluation to consider carefully the G´C interactions.","PeriodicalId":38275,"journal":{"name":"Walailak Journal of Science and Technology","volume":"1 1","pages":"25-37"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Walailak Journal of Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2004/WJST.V1I2.183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Multidisciplinary","Score":null,"Total":0}
引用次数: 0
Abstract
Birth (BW) and weaning weights (WW) of Shorthorn beef cattle used to study the genotype by country (G´C) interactions between Australia (AU) and the United States (US). Data were collected depending on the connectedness on genetic links of common sires. The edited data consisted of numbers of sire, dam and calf of 2,013, 19,784 and 42,963 in AU and 4,797, 38,648 and 95,849 in the US, respectively. After that, sets of data were combined together and corresponding traits from different countries were treated as different traits. Therefore, a bivariate animal model including maternal genetic and permanent environment effects was used to study the interactions. No covariance due to maternal permanent environmental and environmental effects {cov(pe1,pe2) and cov(e1,e2) = 0} was assumed. Estimates of (co)variance components have been done by restricted maximum likelihood. Variance component estimates of the same trait across countries were slightly different. Direct and maternal genetic correlations (in parentheses) between corresponding traits were 0.93 (0.93) and 0.78 (0.86) for BW and WW, respectively. This implied that a joint BW genetic evaluation could be conducted using a model that treated the information as a single population. For WW, sires across AU and the US needed evaluation to consider carefully the G´C interactions.
期刊介绍:
The Walailak Journal of Science and Technology (Walailak J. Sci. & Tech. or WJST), is a peer-reviewed journal covering all areas of science and technology, launched in 2004. It is published 12 Issues (Monthly) by the Institute of Research and Innovation of Walailak University. The scope of the journal includes the following areas of research : - Natural Sciences: Biochemistry, Chemical Engineering, Chemistry, Materials Science, Mathematics, Molecular Biology, Physics and Astronomy. -Life Sciences: Allied Health Sciences, Biomedical Sciences, Dentistry, Genetics, Immunology and Microbiology, Medicine, Neuroscience, Nursing, Pharmaceutics, Psychology, Public Health, Tropical Medicine, Veterinary. -Applied Sciences: Agricultural, Aquaculture, Biotechnology, Computer Science, Cybernetics, Earth and Planetary, Energy, Engineering, Environmental, Food Science, Information Technology, Meat Science, Nanotechnology, Plant Sciences, Systemics