Principal component analysis of conformation traits in Hungarian Simmental cows

Evelin Török, István Komlósi, Béla Béri, Imre Füller, Barnabás Vágó and János Posta
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Evelin Török: Department of Animal Husbandry, Institute of Animal Science, Biotechnology and Natural Conservation, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary
István Komlósi: Department of Animal Husbandry, Institute of Animal Science, Biotechnology and Natural Conservation, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary
Béla Béri: Department of Animal Husbandry, Institute of Animal Science, Biotechnology and Natural Conservation, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary
Imre Füller: Association of Hungarian Simmental Breeder's, Bonyhád, Hungary
Barnabás Vágó: Association of Hungarian Simmental Breeder's, Bonyhád, Hungary
János Posta: Department of Animal Husbandry, Institute of Animal Science, Biotechnology and Natural Conservation, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary

Czech Journal of Animal Science, 2021, vol. 66, issue 2, 39-45

Abstract: The aim of the current research was to analyze the linear type traits of Hungarian Simmental dual-purpose cows scored in the first lactation using principal component analysis and cluster analysis. Data collected by the Association of Hungarian Simmental Breeders were studied during the work. The filtered database contained the results of 8 868 cows, born after 1997. From the evaluation of main conformation traits, the highest correlations (r = 0.35, P < 0.05) were found between mammary system and feet and legs traits. Within linear type traits, the highest correlation was observed between rump length and rump width (r = 0.81, P < 0.05). Using the principal component analysis, main conformation traits were combined into groups. There were three factors having 84.5 as total variance ratio after varimax rotation. Cluster analysis verified the results of the principal component analysis as most of the trait groups were similar. The strongest relationship was observed between feet and legs and mammary system (main conformation traits) and between rump length and rump width (linear type traits).

Keywords: linear type traits; cluster analysis; correlation (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlcjs:v:66:y:2021:i:2:id:155-2020-cjas

DOI: 10.17221/155/2020-CJAS

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