Genetic-parameter estimation of milk yield in White Maritza sheep breed using different test day models
Abstract h 2 ± ± ± ± ± ± h 2 h 2 calculated by the three random regression models with Ali and Schaeffer regression models (ASRMs) was similar to that of random regression models without the Ali and Schaeffer regression incorporated. Although the noted advantages of the random regression models revealed, to a greater extent, the genetic diversity of test day milk yield, AIC, BIC and LogL estimates indicated that repeatability models achieved a better balance between complexity and fitness and a smaller prediction error compared to random regression models.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Genetic-parameter estimation of milk yield in White Maritza sheep breed using different test day models ; volume:66 ; number:3 ; year:2023 ; pages:253-263 ; extent:11
Archives animal breeding ; 66, Heft 3 (2023), 253-263 (gesamt 11)
- Urheber
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Zhelyazkova, Petya
Dimov, Doytcho
Andonov, Sreten
- DOI
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10.5194/aab-66-253-2023
- URN
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urn:nbn:de:101:1-2023092104300253609961
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:59 MESZ
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Beteiligte
- Zhelyazkova, Petya
- Dimov, Doytcho
- Andonov, Sreten