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Comparison of different methods for stability analysis in rice


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  • Product Description

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.

Product Specifications
SKU :COC44316
AuthorDinesh Parmar and Jayantibhai Patel
Number of Pages144
Publishing Year2012-04-27T00:00:00.000
Edition1 st
Book TypeAgriculture & farming
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-06-08 00:00:00