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Description
  • Theory and guides of using linear models with fixed and random effects is elaborated, which is useful for evaluation different types of experiments and evaluation of populations of animals, including large nation-wide files. Different types of examples with single-trait ant multi-trait variables, direct and maternal effects and longitudinal data of test-day-models are presented. Are included models with only fixed effects (LSM) and with mixed fixed and random effects (BLUP, REML). For random effect of animals are calculated with BLUP-Animal Model expected breeding values (EBV) and genomic enhanced breeding value (GEBV). For prediction of GEBV are used methodologies with genetic regression coefficients RRBLUP, with genomic relationship GBLUP and singles step procedure ssGBLUP. Calculations are by own programing in environment SAS and with using of software available in internet BLUPF90-family and DMU. For different examples and used software are prepared files of parameters.
  • Theory and guides of using linear models with fixed and random effects is elaborated, which is useful for evaluation different types of experiments and evaluation of populations of animals, including large nation-wide files. Different types of examples with single-trait ant multi-trait variables, direct and maternal effects and longitudinal data of test-day-models are presented. Are included models with only fixed effects (LSM) and with mixed fixed and random effects (BLUP, REML). For random effect of animals are calculated with BLUP-Animal Model expected breeding values (EBV) and genomic enhanced breeding value (GEBV). For prediction of GEBV are used methodologies with genetic regression coefficients RRBLUP, with genomic relationship GBLUP and singles step procedure ssGBLUP. Calculations are by own programing in environment SAS and with using of software available in internet BLUPF90-family and DMU. For different examples and used software are prepared files of parameters. (en)
Title
  • Genetic Evaluation by Linear Models Using Own Algorithms and Standard Software
  • Genetic Evaluation by Linear Models Using Own Algorithms and Standard Software (en)
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  • Genetic Evaluation by Linear Models Using Own Algorithms and Standard Software
  • Genetic Evaluation by Linear Models Using Own Algorithms and Standard Software (en)
skos:notation
  • 8498/2014-ČPI
  • RIV/00027014:_____/14:#0002082!RIV15-MZE-00027014
http://linked.open...avai/riv/aktivita
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  • P(QI111A167)
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  • Česká plemenářská ispekce
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  • ČMSCH i svazy chovatelů jsou podle zákona zřízeny jako neziskové organizace, které pracují pro širokou chovatelskou veřejnost. Poskytují chovatelům podkladové údaje, které jak ponikatelům, tak přímo chovatelům zvířat umožňují vybírat do plemenitby nejlepší jedince a zušlechťovat chovaná plemena. Tim je umožněno, aby chovatelé obstáli v silné mezinárodní konkurenci.
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  • 18096
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  • RIV/00027014:_____/14:#0002082
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  • 978-80-7403-128-1
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  • BLUP, genomic breeding value, software, programming (en)
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  • [DD1B404ACD0D]
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  • Metodické posupy jsou vytvořeny v programovém prostředí SAS a jsou použity i pro sestavení parametrových souborů pro programy dostupné na internetu. Metodiku převzala 2014 ČMSCH a.s., Hradištko pod medníkem. Postupy budou použity při sestavování postupů celostátního genetického hodnocení zvířat ve prospěch svazů chovazelů, které vedou plemenné knihy a zastupují chovatelskou veřejnost.
http://linked.open...iv/tvurceVysledku
  • Bauer, Jiří
  • Milerski, Michal
  • Přibyl, Josef
  • Vostrá Vydrová, Hana
  • Vostrý, Luboš
  • Zavadilová, Ludmila
  • Veselá, Zdeňka
  • Přibylová, Jana
  • Krupa, Emil
  • Krupová, Zuzana
  • Svitáková, Alena
  • Schmidová, Jitka
  • Žáková, Eliška
  • Novotná, Alexandra
  • Pešek, Petr
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