Comparison of parametric and non-parametric stability measures on the basis of data from preliminary trials with winter rye
Joanna Ukalska
joanna_ukalska@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)
Krzysztof Ukalski
Katedra Ekonometrii i Statystyki, Zakład Biometrii, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie (Poland)
Abstract
Yield stability of 12 open-pollinated and 18 hybrid genotypes of winter rye was assessed in preliminary trials conducted in 6 locations in 2009. The aim of this work was to compare parametric and non-parametric stability measures and to indicate stable and high yielding genotypes of winter rye. On the basis of hierarchical cluster analysis 17 stability measures were classified into three groups. The first group related to the dynamic concept of stability and strongly correlated with mean yield included the parameters: Pi, Di, YS and TOP; the second group — stability measures pointing stable genotypes with average yield included: bi, α Si2 i CV; the third group — stability measures reflecting the concept of static stability and indicating genotypes for extensive cultivation included Si(1), Si(2), Si(3) i Si(6), Sdi2, λ, θ, Wi i D2. Among the open-pollinated genotypes stable and high yielding ones were CHD62 and CHD 43. On account of average yield open-pollinated line CHD 17 can be used in extensive cultivation. High yielding and highly stable hybrid lines destined for intensive cultivation were CHD 548, CHD 516, CHD 621, SMH 8121 i SMH 8240.
Keywords:
cluster analysis, grain yield, hybrid lines, open-pollinated lines, parametric and non-parametric stability measures, winter ryeReferences
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Authors
Joanna Ukalskajoanna_ukalska@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
Authors
Krzysztof UkalskiKatedra Ekonometrii i Statystyki, Zakład Biometrii, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie Poland
Statistics
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