Multivariate analysis of data from preliminary trials with winter rye
Krzysztof Ukalski
krzysztof_ukalski@sggw.edu.plKatedra Ekonometrii i Statystyki, Zakład Biometrii, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie (Poland)
Tadeusz Śmiałowski
Instytut Hodowli i Aklimatyzacji Roślin — PIB, Zakład Roślin Zbożowych w Krakowie (Poland)
Abstract
The subjects of the study were 30 lines of winter rye examined in preliminary trials coordinated by the Plant Breeding and Acclimatization Institute, the Department of Cereals Crops in Cracow. The results presented in the paper concern objects examined in 6 locations in 2009. Ten traits were taken into account: grain yield, 1000 grains weight, plant height, lodging score, winter hardiness, no. of days to heading, no. of days to maturity, pollen fertility, powdery mildew score and brown rust score. The aim of the study was: firstly, the application of principal component analysis (PCA) on transformed values for traits formulated in valuation scale, secondly, detailed comparison of examined forms of winter rye using principal component regression (PCR). Principal component analysis PCA on values under transformation explained over 15% more total variation than PCA on non-transformed values for three first components. The results of PCR analysis are shown on graphs presenting diversity of examined forms of winter rye with consideration of particular traits. The population form HRSM 4 is similar, by its characteristics, to the hybrid lines.
Keywords:
grain yield, hybrid forms, population forms, principal component analysis, principal component regression, transformation, winter ryeReferences
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Authors
Krzysztof Ukalskikrzysztof_ukalski@sggw.edu.pl
Katedra Ekonometrii i Statystyki, Zakład Biometrii, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie Poland
Authors
Tadeusz ŚmiałowskiInstytut Hodowli i Aklimatyzacji Roślin — PIB, Zakład Roślin Zbożowych w Krakowie Poland
Statistics
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