Multivariate analysis of the variability of traits determining technological quality of grains in strains and varieties of winter wheat assessed in pre-registration trials
Tadeusz Śmiałowski
zhsmialo@cyf-kr.edu.plZakład Roślin Zbożowych w Krakowie, Instytut Hodowli i Aklimatyzacji Roślin (Poland)
Maria Stachowicz
Zakład Roślin Zbożowych w Krakowie, Instytut Hodowli i Aklimatyzacji Roślin (Poland)
Abstract
The aim of the work was to distinguish from among 13 traits of grain technological quality one trait or a group of traits exhibiting high discriminatory power to evaluate 102 winter wheat experimental objects, followed by grouping the objects characterized by similar technological quality. Two multivariate methods: factor analysis and cluster analysis were applied. The factor analysis showed that three traits: sedimentation value, falling number and protein content explained altogether 71% of the variability of technological quality coefficients. The cluster analysis allowed to separate four clusters of experimental objects. Group 1 included 47 winter wheat forms showing a great similarity in six qualitative traits, indicating a strong selective pressure towards the qualitative breeding.
Keywords:
cluster analysis, multivariate analysis, technological traits, winter wheatReferences
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Authors
Tadeusz Śmiałowskizhsmialo@cyf-kr.edu.pl
Zakład Roślin Zbożowych w Krakowie, Instytut Hodowli i Aklimatyzacji Roślin Poland
Authors
Maria StachowiczZakład Roślin Zbożowych w Krakowie, Instytut Hodowli i Aklimatyzacji Roślin Poland
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