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Genotype-location Interaction of Indica Rice Using Ammi Model.

Dr. Md. Jamil hasan
Principal Scientific Officer
Head Hybrid Rice Division Bangladesh Rice Research Institute Gazipur-1701

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

Abstract/ Executive Summary:

Genotype x Environment (G x E) interaction for grain yield of 12 genotypes by Additive Main Effect and Multiplicative Interaction (AMMI) model using the data generated from five environments during T. Aman season of Bangladesh. The result showed highly significant genotypic and G x E interaction. The G x E interaction influenced the relative ranking of the genotypes tested, BR1A/BR827R, Teea, BRRI dhan33 and Mayna showed low interaction effect with score nearest to zero with above average yield. While two genotypes BRRI hybrid dhan4 and Heera995 exhibited high positive interaction effect, gave the highest mean grain yield and is better suited to favorable environments. Similarly AMMI characterized the environments and identified Satkhira as a favorable environment for the better expression of the trait studied.

Keywords: GEI, RCBD, IPCA Score, Biplot analysis

Location: BRRI HQ, Gazipur

Start Date:

End Date:

Program Area: Variety and Species

Non-commodity: Performance

Objectives:

To assess the extent of G x E interaction and to select the stable genotypes of hybrid rice over the environments.

Methodology:

Nine rice hybrids along with BRRI dhan31, BRRI dhan33 and BRRI dhan39 as check were evaluated in a Randomized Complete Block Design (RCBD) with three replications in a plot size of 30 m² at spacing of 20 x 15 cm² at five different locations. Twenty one days old seedlings were transplanted with one to two seedlings per hill. Fertilizers were applied @ 150: 100: 70: 60: 10 kg/ha, urea, TSP, MP, Gypsum and ZnSO4. Nitrogen was applied in three split applications @ 50: 25: 25 kg/ha at 15 days interval each after transplanting, maximum tillering and panicle initiation stage. Total amount of TSP, MP, Gypsum and ZnSO₄ were applied at final land preparation. Standard cultural practices were followed in all the locations to raise a good crop. Plant height (cm), growth duration (days) and grain yield (t/ha) were recorded at maturity by harvesting whole plot and adjusted at 14% moisture content.The analysis of variance (ANOVA) was used and the GE interaction was estimated by the AMMI model. Thus, the mean response of the genotype i in environment j (Yij) is modeled by: Yij = µ + gi + aj + E8k (ik” jk + Dij + eij ; where µ is a common constant to the responses (normally the general mean); gi is the fixed effect of genotype i (i= 1, 2, ..., g); aj is the fixed effects of environment j(j=1, 2,..., a); E8k (ik” jk is the fixed significant effect or pattern of the specific interaction of the genotype i with environment j (gaij), where, 8k is the k-th singular value (scalar), (ik and ” jk are the correspondent elements, associated to 8k, of the singular vectors (rows vector and column vector) of the matrix of interaction estimated by ANOVA. For the same matrix, Dij is the non-significant effect or noise of (ga)ij, which is an additional residue and eij is the pooled experimental error, assumed independent and eij ~ N(0, F2). The stability parameters, regression coefficient (bi) and deviation from regression (S²di) were estimated. Significance of differences among bi value and unity was tested by t-test, between S²di and zero by F-test. All the data were subjected to analysis using statistical analysis package software Crop stat version 7.2 (AMMI, SSA and ANOVA models).

Source of Information: Bangladesh Journal of Plant Breeding & Genetetics, 24(2): 09-18, 2011

Article Link (Online Journal):

Funding Source:

1. Government

Budget: 120000/-

Total Budget (Tk.) : 120000/-

Achievement/Findings:

The AMMI statistical model has been used to diagnose the G x E interaction pattern of grain yield of hybrid rice. The genotypes BR1A/BR827R, BRRI hybrid dhan1, BRRI hybrid dhan4, Teea, Heera-995 and BRRI dhan33 had relatively stable with broad adaptation across environments. Satkhira was stable environments for all the genotypes. Gazipur was suitable for Mayna mentioned specific adaptation. BRRI hybrid dhan2 was the best in performance but more unstable over the environments.

Knowledge Management: Journal