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Genotype X Environment Interaction for Grain Yield of Maize (zea Mays L.) Inbreds Under Salinity Stress

A. BISAWAS
Scientific Officer
RARS, Bangladesh Agricultural Research Institute (BARI), Jessore

U. SARKER
Associate professor
Department of Genetics and Plant Breeding, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur,

B. R. BANIK
Director
Spice Research Centre, BARI, Shibgonj, Bogra,

M. M. ROHMAN
Senior Scientific Officer
Plant Breeding Division, BARI, Gazipur, Bangladesh.

M. Z. A. TALUKDER
Scientific Officer
Plant Breeding Division, BARI, Gazipur, Bangladesh

Abstract/ Executive Summary:

An experiment was conducted on Maize (Zea mays L.) to investigate the genotype × environment interaction for gain yield of maize inbreds under salinity stress. The objective of this study was to evaluate G × E interactions and yield stability in multi-environmental trials across wide ecological stress environments. Prescreened thirteen maize inbred lines collected from CYMMT, India were evaluated for phenotypic traits at different salinity conditions (8dS, 12dS and 16dS) with normal environment. The environmental mean and genotypic mean ranged from 10.3 to 49.7 g and 10.9 to 52.8 g, respectively. The regression coefficient (bi) values of these genotypes ranged from 0.44 to 1.66. Among the genotypes P43, CZ29 and CZ33 produced higher grain yield and highly responsive under different salinity level. On the other hand considering the Pi, bi, S2 di and AMMI bi-plot analysis the genotypes E32, P29 and P35 showed almost stable performance across the different salinity conditions.

Keywords: Maize (Zea mays L.) inbred lines, Genotype × environment interaction, Salinity stress, Grain yield, Bangladesh.

Location: Research farm of Irrigation Division of Bangladesh Agricultural Research Institute (BARI)

Start Date: 00-02-2012

End Date: 00-07-2012

Program Area: Variety and Species

Commodity: Maize

Objectives:

to improve the selection efficiency as well as the productivity of maize in this country under salinity stress. Therefore, to identify stable varieties or genotypes over different environments, study of genotype x environment (G × E) interactions was felt essential as a preliminary step (Eberhart and Russell, 1966).

Methodology:

Prescreened thirteen genotypes of maize collected from CIMMYT, India were grown in a completely randomized design (CRD) with 3 replications at the research farm of Irrigation Division of Bangladesh Agricultural Research Institute (BARI) coordinated by Plant Breeding Division of BARI, Gazipur, Bangladesh during February to July 2012. . Seeds of each inbred were sown into the soil of plastic pots on 11 February 2012 by hand uniformly. The plastic pots were placed according to the FAO standard irrigation system for supplying the saline water. The soil was wetted by normal saline water. The seedlings were emerged six to eight days after seed sowing. The seedlings were thinned to one seedling per pot after ten days of emergence. After germination at two leaves stage irrigation was given by different concentrations (Normal water, 8 dS, 12 dS, and 16 dS) of saline water in 15 days interval. Fertilizers were applied @ 120,80,80,20, 5 and 1 kg/ha of N, P2O5, K2O, S, Zn, and B, respectively. Standard agronomic practices were followed (Quayyum, 1993) and plant protection measures were taken when required. Data were collected on grain yield and yield contributing characters. Mean data for each character was subjected to both univariate and multivariate analysis. Univariate analysis of the individual character (analysis of variance) was done by computer using MSTATC software. The analysis of variance (ANOVA) was used and the G-E interaction was estimated through stability analysis using the AMMI model (Zobel et al., 1988; Durate and Zimmermann, 1991). In this procedure, the contribution of each genotype and each environment to the G-E interaction is assessed by use of the bi-plot graph display in which yield means are plotted against the scores of the first principal component of the interaction (IPCA 1). The computational program for AMMI analysis is supplied by Durate and Zimmermann (1991). The stability parameters, regression coefficient (bi) and deviation from regression (S2 di) were estimated according to Eberhart and Russel’s (1966) model. Significance of differences among bi value and unity was tested by t-test and between S2 di and zero by F-test.

Source of Information: Bangladesh J. Agril. Res. 39(2): 293-301, June 2014 ISSN 0258-7122

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

From the result, it is revealed that none of these genotypes showed significantly higher grain yield under salinity stress. Considering Pi, bi, and S2 di, it is evident that all the genotypes showed different responses to adaptability under differential conditions and the genotypes E32, P29, and P35 showed almost stable across the different salinity conditions. Almost similar stability trend of the earlier three genotypes were found as per AMMI bi-plot analysis which may be used in breeding programme for obtaining higher yielding saline tolerant maize variety.

Knowledge Management: Journal