Retrospective study of yield response to environmental conditions in winter wheat cultivars using combined AMMI and cluster analysis to incomplete data: genetic progress for adaptability

Jakub Paderewski

jakub_paderewski@sggw.edu.pl
Katedra Doświadczalnictwa i Bioinformatryki SGGW w Warszawie (Poland)

Wiesław Mądry


Katedra Doświadczalnictwa i Bioinformatryki SGGW w Warszawie (Poland)

Wiesław Pilarczyk


Katedra Metod Matematycznych i Statystycznych Uniwersytetu Przyrodniczego w Poznaniu (Poland)

Tadeusz Drzazga


Hodowla Roślin Rolniczych "Nasiona Kobierzyc" Sp. z o.o. w Kobierzycach (Poland)

Abstract

Data for winter wheat grain yield which were analyzed in the paper come from 14 multiple-environment trials (METs), called pre-registration trials, done across the years 1991–2004. Each year, new tested cultivars entered the trials network but some entries and check-cultivars retained in the network for a few year period. Among them 21 tested and check cultivars, evaluated across at least 3 years period, were taken to these considerations. The entries were released during the years the 1982 to 2004. Adjusted means of grain yield for cultivars in locations across years using BLUE estimator in REML method were calculated. These means constituted an incomplete GL classification. Some missing means in the classification were approximated by the EM-AMMI procedure. The AMMI analysis based on additive main effects and multiplicative interaction fixed model. In the second step of the statistical procedure cluster analysis was performed taking into account estimates of GL interaction effects. This method enables grouping cultivars with similar profiles of GL interaction effects and also similar genotypic means of grain yield. In this way different types of yield response of homogenous cultivar group of winter wheat to variable environmental conditions in locations (types of adaptations) were distinguished. The combined AMMI and cluster analysis including specific modifications for incomplete data was efficient to study patterns of yield response to environmental conditions in winter wheat cultivars using data from incomplete GLY classification obtained in pre-registration trials. As a result of the study, genetic progress was estimated with regard to both yield and its stability and then wide adaptability.


Keywords:

winter wheat, AMMI analysis, cluster analysis, cultivars, adaptation, grain yield

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Published
2008-12-31

Cited by

Paderewski, J. (2008) “Retrospective study of yield response to environmental conditions in winter wheat cultivars using combined AMMI and cluster analysis to incomplete data: genetic progress for adaptability”, Bulletin of Plant Breeding and Acclimatization Institute, (250), pp. 87–106. doi: 10.37317/biul-2008-0007.

Authors

Jakub Paderewski 
jakub_paderewski@sggw.edu.pl
Katedra Doświadczalnictwa i Bioinformatryki SGGW w Warszawie Poland

Authors

Wiesław Mądry 

Katedra Doświadczalnictwa i Bioinformatryki SGGW w Warszawie Poland

Authors

Wiesław Pilarczyk 

Katedra Metod Matematycznych i Statystycznych Uniwersytetu Przyrodniczego w Poznaniu Poland

Authors

Tadeusz Drzazga 

Hodowla Roślin Rolniczych "Nasiona Kobierzyc" Sp. z o.o. w Kobierzycach Poland

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