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REGULAR ARTICLE
Genotype x environment assessment for grain quality traits in rice
Parviz Fasahat, Kharidah Muhammad, Aminah Abdullah, Md. Atiqur Rahman Bhuiyan, Mee Siing Ngu, Hugh G. Gauch JR., Wickneswari Ratnam
Commun. Biometry Crop Sci. (2014) 9 (2), 71-82.
ABSTRACT
Physicochemical properties of 10 rice advanced breeding lines
(BC,2F7) across 3 environments in Malaysia were evaluated. Highly
significant G x E interactions for all measured quality traits
were detected using ANOVA, and the additive main effect and
multiplicative interaction (AMMI) statistical model was applied
to analyze them. The results showed that the grain quality parameters
had large genotype by environment (G x E) interactions. Differences among
genotypes and environments accounted for 16-73% and 0.5-56% of the total sum of
squares, respectively, while the G × E interaction accounted for 15-52% of the
total sum of squares. The first and second AMMI axes captured 67-96% and 4-33%
of the total variation due to G × E interaction, respectively. The biplots of
genotypes/environments means and scores on first Principal Component Axis (AMMI-1 biplot)
for all traits accounted for most of the total treatment sum of squares. Genotypes G7
(in terms of head rice percentage and amylose content) and G16 (in terms of head rice percentage,
protein and amylose content) were detected as winning genotypes in mega-environments, according to
the AMMI-1 model. The best genotype in one environment was not always best in other test environments.
However, most genotypes showed higher quality parameters in Bumbung Lima and Sungai Besar than in Gurun.
Key Words: AMMI; biplot; genotype x environment; grain quality; rice.
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