Please use this identifier to cite or link to this item: http://localhost:80/xmlui/handle/123456789/17494
Title: NONPARAMETRIC METHODS IN COMBINED HETEROSCEDASTIC EXPERIMENTS FOR ASSESSING STABILITY OF WHEAT GENOTYPES IN PAKISTAN
Authors: Shah, Syed Haider
Shah, Syed Munawar
Khan, M.Inayat
Maqsood Ahmad
Imdad Hussain
K.M.Eskridge
Issue Date: 20-Apr-2009
Publisher: Karachi: Pakistan Botanical Society, University of Karachi
Citation: Shah, S. H., Shah, S. M., Khan, M. I., Ahmed, M., Hussain, I., & Eskridge, K. M. (2009). Nonparametric methods in combined heteroscedastic experiments for assessing stability of wheat genotypes in Pakistan. Pak. J. Bot, 41(2), 711-730.
Abstract: Genotype performance in multienvironment trials (METs) are usually analyzed by parametric analysis of variance (ANOVA) and stability models. The results of these models can give misleading inferences when some sensitive assumptions are not satisfied. In this paper, assumptions of combined ANOVA are scrutinized in detail to justify the validity of use of 5 nonparametric stability methods (Si
URI: http://142.54.178.187:9060/xmlui/handle/123456789/17494
ISSN: 0556-3321
Appears in Collections:Issue No. 2

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