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Ammi Biplot Analysis for Stability of Grain Yield in Hybrid Rice (oryza Sativa L.)

Anowara Akter
Scientific Officer
Hybrid Rice Division Bangladesh Rice Research Institute Bangladesh, Gazipur-1701

M Jamil Hasan
Principal Scientific Officer
Hybrid Rice Division Bangladesh Rice Research Institute Bangladesh, Gazipur-1701

M Umma Kulsum
Scientific Officer
Hybrid Rice Division Bangladesh Rice Research Institute Bangladesh, Gazipur-1701

Kamal Hossain
Scenior Scientific Officer
Hybrid Rice Division Bangladesh Rice Research Institute Bangladesh, Gazipur-1701

M. Mamunur Rahman
Scenior Scientific Officer
Farm Management Division R/S-Sathkhira,Bangladesh Rice Research Institute, Bangladesh, Gazipur-1701

M Rafiqul Islam
Scenior Scientific Officer
Plant Breeding Division Bangladesh Rice Research Institute Bangladesh, Gazipur-1701

Abstract/ Executive Summary:

Genotype x environment interaction and stability performance were investigated on grain yield with 12 rice genotypes in five environments. The ANOVA for grain yield revealed highly significant (P<0.01) for genotypes, environments and their interactions. The significant interaction indicated that the genotypes respond differently across the different environments. The mean grain yield value of genotypes averaged over environments indicated that BRRI 10A/ BRRI 10R (G3) had the highest (5.99 tha^-1) and BRRI dhan39 (G12) the lowest yield (3.19 tha^-1), respectively. In AMMI analysis, AMMI 1 biplot showed the hybrids BRRI 1A/ BRRI 827R (G1), IR58025A/ BRRI 10R(G2), BRRI 10A/BRRI 10R(G3) and BRRI hybrid dhan1(G4) have higher average mean yields with high main (additive) effects with positive IPCA1 score, but the hybrid BRRI 10A/BRRI 10R(G3) being the over all best. Hence, the genotype G3 would be considered more adapted to a wide range of environments than the rest of genotypes. Environments, such as Gazipur (E1) and Jessore (E5) could be regarded as a more stable site for high yielding hybrid rice improvement than other location for grain yield due to IPCA score near zero which had no interaction effect. In AMMI 2 biplot, Comilla (E2) and Rangpur (E4) are the most discriminating environments, while BRRI 1A/ BRRI 827R (G1) and Heera 99-5 (G9) are the most responsive genotypes.

Keywords: AMMI analysis, stability, GEI structure, Hybrid Rice

Location: Gazipur(E1), Comilla(E2), Barisal(E3), Rangpur(E4) and Jessore(E5)

Start Date: 20-05-2008

End Date: 28-09-2008

Program Area: Variety and Species

Commodity: Rice

Objectives:

To determine the nature and magnitude of GxE interaction effects on grain yield in diverse environments and select the best stable genotypes or environments by using the AMMI analysis with biplot facility.

Methodology:

The experiments were conducted at five districts namely Gazipur (E1), Comilla (E2), Barisal (E3), Rangpur (E4) and Jessore (E5) representing five different agro-ecological zones (AEZ) of Bangladesh. Twelve genotypes consisting of 3 advanced lines (BRRI 1A/ BRRI 827R (G1), IR58025A/ BRRI 10R (G2) and BRRI 10A/ BRRI 10R (G3)), 6 released hybrids (BRRI hybrid dhan1(G4), Tea (G5), Mayna (G6), Richer (G7), Heera-2 (G8) and Heeta 99-5 (G9)), and 3 inbreed check varieties (BRRI dhan31 (G10), BRRI dhan33 (G11) and BRRI dhan39 (G12)) were used as experimental materials. The experiments were carried out in a randomized complete block design (RCBD), with three replications. Twenty-one-days old seedlings were transplanted in 20 square meter plot using single seedling per hill at a spacing of 20 cm x 15 cm. Fertilizers were applied @ 150:100:70:60:10 kg/ha Urea, TSP, MP, gypsum and ZnSO₄, respectively. Standard agronomic practices were followed and plant protection measures were taken as required following the recommendation of Adhunik dhaner chash, BRRI (2008). Two border rows were used to minimize the border effects. The grain yield (tha^-1) data were collected at 14% moisture level. Data were collected followed by standard method as described by Yoshida et al.(1976). The grain yield data for twelve (12) genotypes in five (5) environments were subjected to AMMI analysis of variance using statistical analysis package software Cropstat version 6.1 (Cropstat, Tutorial Mannual Part 2, Revised April, 2008).

Source of Information: Rice Research: Open Access Journal,ISSN: JRR, an open access journal, Akter et al., J Rice Res 2014, 2:2,Volume 2 • Issue 2 • 1000126,http://dx.doi.org/10.4172/jrr.1000126, page no:1-4, Japan.

Article Link (Online Journal):

Funding Source:

1. Government

Budget:

Total Budget (Tk.) :

Achievement/Findings:

Crop yield is a complex trait that is influenced by a number of component characters along with the environment directly or indirectly. If we could develop high yielding stable hybrid rice for diverse environments, we could offer most diverse stable heterotic hybrids for the rice growers. AMMI statistical model could be a great tool to select the most suitable and stable high yielding hybrids for specific as well as for diverse environments. In the present study, AMMI model has shown that the largest proportion of the total variation in grain yield was attributed to environments. Here most of the genotypes showed environment specificity. The mean grain yield value of genotypes averaged over environments indicated that G3 had the highest (5.99 t ha^-1) and G12 the lowest yield (3.19 t ha^-1), respectively. It is noted that the variety G3 showed higher grain yield than all other varieties over all the environments. The genotypes (G1), (G2), (G3) and (G4) were hardly affected by the G x E interaction and thus would perform well across a wide range of environments.

Knowledge Management: Journal