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Evaluation of Cimmyt Tropical White (chttw) Hybrids

M. Shalim Uddin
Scientific Officer
Plant Breeding Division BARI, Gazipur

M .Haque
Scientific Officer
Plant Breeding Division RARS, Jamalpur

Abstract/ Executive Summary:

The present study assessed GEI and stability for grain yield, days to tasseling, days to silking, plant height and ear height with 40 genotypes across six different locations of Bangladesh during 2007-08. The AMMI model (additive main effects and multiplicative interaction) was used to assess the additive and multiplicative effects of the interaction. Significant variation for genotypes (G), environment (E) and GEI were found for all the characters. The environment Gazipur, Magura and Jamalpur were poor whilst Hathazari medium and Nilphamari was rich environments for hybrid maize production. Considering the mean, bi, S²di and determination for linear regression model (r²) four parameters, it was evident that all the genotypes showed different response of adaptability under different environmental conditions. Among the genotypes, E7, E11, E12, E17, E19, E21 and E25 exhibited the higher grain yield, bi~1, S²di~0 and Smaller r²indicated that the hybrids are stable across the environment. The hybrid E37 had bi value significantly different from the unity with non significant S²di value and large coefficient of determination indicating high responsiveness of the hybrid but suitable for favourable environments.

Keywords: GXE interaction, AMMI model, Yield, Evaluation, White, Hybrid Maize

Location: Gazipur, Jamalpur, Ishurdi, Hathazari, Magura and Nilphamari

Start Date: 15-11-2007

End Date: 10-05-2008

Program Area: Variety and Species

Commodity: Maize

Objectives:

To test the performance of CIMMYT developed hybrids, under different agro-ecological zones of Bangladesh and select better one(s)

Methodology:

Forty CIMMYT developed white hybrids and two local checks, viz. BARI Hybrid Maize-3 (BHM 3) and BARI Hybrid Maize-5 (BHM 5) were evaluated in this trial. Seeds were sown following Alpha lattice design with 3 replications. The unit plot size was 5.0 X 1.5 m. Spacing adopted was 75 X 20 cm between rows and hill, respectively. One healthy seedling per hill was kept after proper thinning. Fertilizers were applied @ 250,120,120,40and 5 kg/ha of N, P₂0₅, K₂0, S and Zn, respectively. Standard agronomic practices were followed and plant protection measures were taken as required. Two border rows were used for minimize the border effect. Data on days to tasseling, days to silking was recorded on whole plot basis. Ten randomly selected plants were used for recording observations on plant and ear height. All the plants in two rows were considered for plot yield. The grain yield (t/ha) data was assessed and corrected to 15% moisture. The analysis of variance (ANOVA) was used and the GE interaction was estimated by the AMMI model (Zobel et al., 1988; Duarte and Vencovsky, 1999). The stability parameters, regression coefficient (bi) and deviation from regression (S²di) were estimated according to Eberhart and Russel (1966). Significance of differences among bi value and unity was tested by t-test, between S²di and zero by F-test.

Source of Information: Annual Research Report 2007-08, Plant Breeding Division, BARI

Article Link (Online Journal):

Funding Source:

1.	Budget: 50,000/-

Total Budget (Tk.) : 50,000/-

Achievement/Findings:

A large genetic diversity was observed among the studied material. Again, The regression coefficient (bi) values of these genotypes ranged from 0.34 to 1.34. The environmental mean and genotypic mean ranged from 7.29 t/ha to 12.7 t/ha and 8.42 to 10.56 t/ha, respectively. Nineteen genotypes showed positive phenotypic index while the other genotypes had negative phenotypic index for yield. It was observed that the environment Gazipur, Magura and Jamalpur were poor while Hathazari medium and Nilphamari was rich environments for hybrid maize production. Considering the yield potentiality and stability parameter seven hybrids (E7, E11, E12, E17, E19, E21 and E25) were found promising across locations and should be evaluated in larger plots in next season.

Knowledge Management: Report/Proceedings