Assessment of wide adaptation degree of winter wheat cultivars by some statistical measures using yield data from preregistration trials
Marzena Iwańska
marzena_iwanska@sggw.edu.plKatedra Doświadczalnictwa i Bioinformatyki SGGW w Warszawie (Poland)
Wiesław Mądry
Katedra Doświadczalnictwa i Bioinformatyki SGGW w Warszawie (Poland)
Tadeusz Drzazga
Hodowla Roślin Rolniczych — Nasiona Kobierzyc w Kobierzycach (Poland)
Anna Rajfura
Katedra Doświadczalnictwa i Bioinformatyki SGGW w Warszawie (Poland)
Abstract
The paper presents results of theoretical and experimental studies on statistical methodology of evaluation of wide adaptation degree of cultivars. The aim of the theoretical study was to present a conceptual framework of wide adaptation degree of cultivars and to develop some new statistical measures as well as describe standard statistical measures of wide adaptation degree including the order Kang’s measure, YSi, and genotypic mean yield. Additionally, the purpose of experimental study was and assess usefulness of the measures as criteria for selecting cultivars showing relatively high degree of wide adaptation. The experimental study was performed using data for grain yield obtained in three pre-registration cultivar trials with winter wheat in the years 1994, 2000 and 2006. It was found that the new measures as yield reliability index, Ri(0), mean value of yield reliability function, MRi, evaluate most adequately, among the considered ones, degree of cultivars’ wide adaptation. The order Kang’s measure, YSi, also well reflected wide adaptation degree of cultivars because it ordered them similarly to the measures Ri(d = 0) and MRi in a set of all studied cultivars and those highest yielding ones. Genotypic mean yield was worse measure of wide adaptation degree of those cultivars in the set of highest yielding ones because of ranking different from that for the measures Ri(d = 0) and MRi.
Keywords:
YSi, genotypic mean yield, grain yield, Kang’s measure, yield reliability function of cultivar, wide adaptation degree of cultivars, winter wheatReferences
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Authors
Marzena Iwańskamarzena_iwanska@sggw.edu.pl
Katedra Doświadczalnictwa i Bioinformatyki SGGW w Warszawie Poland
Authors
Wiesław MądryKatedra Doświadczalnictwa i Bioinformatyki SGGW w Warszawie Poland
Authors
Tadeusz DrzazgaHodowla Roślin Rolniczych — Nasiona Kobierzyc w Kobierzycach Poland
Authors
Anna RajfuraKatedra Doświadczalnictwa i Bioinformatyki SGGW w Warszawie Poland
Statistics
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Copyright (c) 2008 Marzena Iwańska, Wiesław Mądry, Tadeusz Drzazga, Anna Rajfura
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