Comparison Different Methods Stability by Parmar Dinesh (6 results)

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Taschenbuch. Condition: Neu. Comparison of different methods for stability analysis in rice | Stability analysis in rice | Dinesh Parmar (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659110962 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTL…AND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Parmar DineshDr. Dinesh J. Parmar Ph. D. (Agril. Statistics) is working as Asstt. Prof. and has 18 years of experience. His field of interest is Statistical Genetics and Analysi…s of Data. He is teaching in UG and PG programme. Dr. J.

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Rice (Oryza sativa L.) is one of the world s most important staple cereal food crop growing in at least 114 countries under diverse conditions. The considerable variation in environment has resulted in significant variation in the yield…performance of rice genotypes. Thus, genotype x environment interaction (GEI) is an important issue faced by the plant breeders and agronomists. There are two major approaches for studying GEI and adaptation. The parametric approach is based on regression techniques (Eberhart and Russell, 1966; Finlay and Wilkinson, 1963) and univariate parametric stability statistics (Shukla, 1972, Francis and Kannenberg, 1978; Hernandez et al., 1993; Lin and Binns, 1988a and 1988b; Hanson, 1970). Nonparametric measures (Si(1), Si(2), Si(3), Si(6)) based on the ranks of genotypes in each environments, have been proposed to find out the response of genotypes to changing environment. Multivariate statistical methods have been studied in the analysis of GEI i.e. Additive Main effect and Multiplicative Interaction (AMMI) in which the dimensionality of original data matrix is reduced to fewer dimensions by decomposing the original data matrix.