Genotype × environment assessment for grain qualitytraits in rice

Parviz Fasahat, Kharidah Muhammad, Aminah Abdullah, Md Atiqur Rahman Bhuiyan, Mee Siing Ngu, Hugh G. Gauch, R Wickneswari V Ratnam

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Physicochemical properties of 10 rice advanced breeding lines (BC2F 7) across 3 environments in Malaysia were evaluated. Highly significant G × 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 × E) interactions. Differences amonggenotypes and environments accounted for 16-73% and 0.5-56% of the total sum of squares, respective ly, 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 bi plot) 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 amyl ose 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.

Original languageEnglish
Pages (from-to)71-82
Number of pages12
JournalCommunications in Biometry and Crop Science
Volume9
Issue number2
Publication statusPublished - 19 Dec 2014

Fingerprint

rice
genotype
Genotype
Interaction
breeding lines
statistical models
amylose
Malaysia
physicochemical properties
analysis of variance
proteins
testing

Keywords

  • AMMI
  • Biplot
  • Genotype × environment
  • Grain quality
  • Rice

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Decision Sciences(all)

Cite this

Fasahat, P., Muhammad, K., Abdullah, A., Bhuiyan, M. A. R., Ngu, M. S., Gauch, H. G., & V Ratnam, R. W. (2014). Genotype × environment assessment for grain qualitytraits in rice. Communications in Biometry and Crop Science, 9(2), 71-82.

Genotype × environment assessment for grain qualitytraits in rice. / Fasahat, Parviz; Muhammad, Kharidah; Abdullah, Aminah; Bhuiyan, Md Atiqur Rahman; Ngu, Mee Siing; Gauch, Hugh G.; V Ratnam, R Wickneswari.

In: Communications in Biometry and Crop Science, Vol. 9, No. 2, 19.12.2014, p. 71-82.

Research output: Contribution to journalArticle

Fasahat, P, Muhammad, K, Abdullah, A, Bhuiyan, MAR, Ngu, MS, Gauch, HG & V Ratnam, RW 2014, 'Genotype × environment assessment for grain qualitytraits in rice', Communications in Biometry and Crop Science, vol. 9, no. 2, pp. 71-82.
Fasahat P, Muhammad K, Abdullah A, Bhuiyan MAR, Ngu MS, Gauch HG et al. Genotype × environment assessment for grain qualitytraits in rice. Communications in Biometry and Crop Science. 2014 Dec 19;9(2):71-82.
Fasahat, Parviz ; Muhammad, Kharidah ; Abdullah, Aminah ; Bhuiyan, Md Atiqur Rahman ; Ngu, Mee Siing ; Gauch, Hugh G. ; V Ratnam, R Wickneswari. / Genotype × environment assessment for grain qualitytraits in rice. In: Communications in Biometry and Crop Science. 2014 ; Vol. 9, No. 2. pp. 71-82.
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