An examination of diversity and interrelationships among traits in a winter wheat (Triticum aestivum L.) germplasm collection by multivariate methods. Part II. Principal component analysis using the phenotypic and genotypic correlation matrix
Joanna Ukalska
joanna_ukalska@sggw.edu.plKatedra Biometrii, Szkoła Główna Gospodarstwa Wiejskiego, Warszawa (Poland)
Krzysztof Ukalski
Katedra Biometrii, Szkoła Główna Gospodarstwa Wiejskiego, Warszawa (Poland)
Tadeusz Śmiałowski
Instytut Hodowli i Aklimatyzacji Roślin, Zakład Roślin Zbożowych w Krakowie (Poland)
Wiesław Mądry
Katedra Doświadczalnictwa i Bioinformatyki, Szkoła Główna Gospodarstwa Wiejskiego, Warszawa (Poland)
Abstract
In the paper, the diversity among quantitative traits in the winter wheat germplasm working collection using Principal Component Analysis (PCA) was studied. Fifty-one genotypes (cultivars and clones) from the Plant Breeding and Acclimatization Institute, Department of Cereal Crops in Cracow, were evaluated in the years 1999–2002. Two approaches of the PCA were applied. The first, classical approach, involved the phenotypic correlation matrix, i.e. correlation coefficients between across year phenotypic means. In the second, new approach, application of genotypic correlation matrix, i.e. correlation coefficients matrix between the unobservable genotypic effects for considered traits in PCA, has been proposed. Coincident results were obtained using the above methods. However, the first three principal components obtained using the genotypic correlation matrix compared to the classical PCA accounted for 15% more of the overall variation among genotypes. Moreover, higher absolute values of correlation coefficients between principal components and the evaluated traits were recorded.
Keywords:
genotypic correlation matrix, germplasm collection, phenotypic correlation matrix, principal component analysis, winter wheatReferences
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Authors
Joanna Ukalskajoanna_ukalska@sggw.edu.pl
Katedra Biometrii, Szkoła Główna Gospodarstwa Wiejskiego, Warszawa Poland
Authors
Krzysztof UkalskiKatedra Biometrii, Szkoła Główna Gospodarstwa Wiejskiego, Warszawa Poland
Authors
Tadeusz ŚmiałowskiInstytut Hodowli i Aklimatyzacji Roślin, Zakład Roślin Zbożowych w Krakowie Poland
Authors
Wiesław MądryKatedra Doświadczalnictwa i Bioinformatyki, Szkoła Główna Gospodarstwa Wiejskiego, Warszawa Poland
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