Journal of Food, Agriculture and Environment

Yield stability for selecting stable rice genotypes under diverse environments using univariate and multivariate statistical approaches

Author(s):

Lotan Kumar Bose *, Nitiprasad Namdeorao Jambhulkar, Kanailal Pande, Onkar Nath Singh, Trilochan Mohapatra

Recieved Date: 2014-01-03, Accepted Date: 2014-03-18

Abstract:

Field experiments were conducted with twelve rice genotypes in a randomized complete block design with three replications under direct seeded and transplanted condition (irrigated and rainfed) for 3 consecutive years (2009 - 2012). Objective of the experiment was to identify stable rice genotypes with high grain yield. Analysis has been done using both parametric and non-parametric statistics via univariate and multivariate approaches. The genotype environment interaction (GEI) was analysed using Additive Main Effects and Multiplicative Interaction (AMMI). Combined analysis of variance showed highly significant differences for the GE (genotype-environment) interaction indicating the possibility of selection for stable genotypes. The results of AMMI (additive main effect and multiplicative interaction) analysis indicated that the first five AMMI (AMMI1 - AMMI6) were highly significant (P < 0.05). The partitioning of TSS (total sum of squares) exhibited that the genotype effect was a predominant source of variation followed by GE interaction and environment. The genotype effect was ~5 times higher than that of the GE interaction, suggesting the existence of different environment groups. AMMI stability value discriminated genotype 5 and 12 as the stable genotypes. Based on YSI (Yield stability index) and RS (rank sum), the most stable genotype with high grain yield was genotype 12, whereas based on SI (sustainability index), the stable genotype 12 occupies in the third position. The results of this investigation proved that YSI, which incorporate ASV and mean grain yield in a single non-parameric index and RS (R + SDR), were the most desirable indices for discriminating the genotype 12 as the most stable genotype with high grain yield. The analysis was carried out using SAS 9.2 statistical software package.

Keywords:

Rice, stability, AMMI model, AMMI stability value, yield stability index, rank-sum

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Journal: Journal of Food, Agriculture and Environment
Year: 2014
Volume: 12
Issue: 2
Category: Agriculture
Pages: 334-339

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