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Research Detail

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A. B. M. Khaldun
Senior Scientific Officer
ORC, Bangladesh Agricultural Research Institute (BARI), Gazipur-1701

B. R. Banik Director General, BRRI, Gazipur-1701


B. R. Banik
Director General
BRRI, Gazipur-1701

M. A. L. Akanda
Principal Scientific Officer
ORC, BARI, Gazipur-1701

K. A. M. M. Rahman
TCRC, BARI, Gazipur-1701

Present study assessed genotypes and their interactions with environments (GEI) for plant height, days to maturity and grain yield of 40 maize hybrids including two local checks across five different locations of Bangladesh. Thirty eight white QPM (Quality Protein Maize) hybrids were collected from CIMMYT, Mexico. The AMMI (additive main effect and multiplicative interactions) and GGE (genotype + genotype × environment) model were used to assess the additive and multiplicative effects of the interactions. Significant variations were found for genotypes (G), environments (E) and GEI for all the studied characters. The environment of Gazipur is poor while those of Ishurdi and Rangpur are rich for QPM hybrids production. Considering three parameters viz., mean, bi and S2di, it was evident that all the genotypes showed different responses of adaptability under different environmental conditions. Among the hybrids E21, E23, E30 and E22 exhibited bi~1 and S2di~0 for all the characters under study, which clearly indicated that the hybrids are stable across the environments. The hybrids E11, E25, E37 and E4 had bi value significantly different from the unity with non significant S2di value for one or more characters studied, indicating high responsiveness of the hybrid but suitable for favorable environments only. E5 was a good yielder and stable over environments. Considering the yield potentiality and stability parameters five hybrids were found promising over the locations.
 

  QPM, AMMI, Stability, Hybrids, GEI, Adaptability.
  At five locations viz., Barisal, Jamalpur, Gazipur, Ishurdi and Rangpur
  00-11-2011
  00-05-2012
  Variety and Species
  Maize

The objective of this study was to test the performance of CIMMYT developed white QPM hybrids, under different agro-ecological zones of Bangladesh and select better one(s).
 

The experiment was conducted at five locations viz., Barisal, Jamalpur, Gazipur, Ishurdi and Rangpur during rabi 2011-12. Thirty eight CIMMYT developed white-QPM hybrids and two local checks, viz. BARI Hybrid Maize-5 (BHM 5) and BARI Hybrid Maize-9 (BHM-9) were evaluated in this trial. Seeds were sown on November to December, 2011 at 5 locations following Alpha lattice design with 3 replications. The unit plot size was 5.0 X 1.5 m. Spacing adopted was 75 cm × 20 cm between rows and hill, respectively. One healthy seedling per hill was kept after proper thinning. Fertilizers were applied @ 250, 120, 120, 40 and 5 kg ha-1 of N, P205, K20, S and Zn, respectively. Standard agronomic practices were followed (Quayyum, 1993) and plant protection measures were taken as required. Two border rows were used to minimize the border effect. Data on days to tasseling and days to silking were 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-1) data was assessed and corrected to 12% moisture. The CIMMYT hybrids are: CLWN210/CML494, CLWN224/CML494, CLWN208/CML494, CML494/CML495, CML491/CML503, CLWN221/CML494, CLWN216/CML494, CLQRCWQ124/CML491, CLWN211/CML494, CLWQ222/CML503, CL04368/ CLSPLW04, CLWN205/CML494, CLWN209/CML494, CLWQ238/CML491, CLWN228/CML495, CLWN212/CML494, CLWN219/CML494, CLWN217/ CML494, CLWQ223/CML503, CLWN227/CML495, CLRCW104/CML494, CLWN218/CML494, CLRCW105/CML494, CLWN215/CML494, CLQRCWQ123/ CML491, CLWN204/CML494, CLWN222/CML494, CLWN207/CML494, CLWN206/CML494, (CLQ-6203xCL-04321)-B-7-1-2-4-B/CL-FAWW11)-B-6-1-2- B-B-B-B/CML491, CLWN220/CML494, CLWQ221/CML503, CLWN213/ CML494,     CLWN214/CML494,     CLRCW107/CML494,     CLWN223/CML494, CLWN201/CML495, CLRCW109/CML494. All the materials were marked as E and considered as individual entry.

Statistical Analysis
The analysis of variance (ANOVA) was used and the GE interaction was estimated by the AMMI model (Duarte and Vencovsky, 1999). Thus, the mean response of the genotype i in environment j (Yij) is modeled by: Yij = μ + gi +aj + Σλkγikαjk + ρij +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); Σλkγikαjk is the fixed significant effect or pattern of the specific interaction of the genotype i with environment j (gaij), where, λk is the k-th singular value (scalar), γik and αjk are the correspondent elements, associated to λk, of the singular vectors (rows vector and column vector) of the matrix of interaction estimated by ANOVA. For the same matrix, ρij 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, σ2). In this procedure, the contribution of each genotype and each environment to the GE interaction is assessed by the biplot graph display in which yield means are plotted against the scores of the first principal component of the interaction (IPCA1). The stability parameters, regression coefficient (bi) and deviation from regression (S2di) were estimated according to Eberhart and Russell (1966). 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 Cropstat7.2 version (AMMI, SSA and BANOVA models).

  Bangladesh J. Agril. Res. 42(2): 259-271, June 2017 ISSN 0258-7122 (Print), 2408-8293 (Online)
  
Funding Source:
1.   Budget:  
  

Considering the yield potentiality and stability parameter five QPM hybrids (E21, E23, E30, E22 and E11) were found promising over the locations and could go for the processes of variety selection. This study also recommends for the prospect of quality maize production in Bangladesh. The AMMI statistical model has been used to diagnose the G×E interaction  pattern  of  yield  of  hybrid maize. Burirhat with a relatively stable genotype performance could be regarded as a good selection site for identifying broad based and adaptable maize genotypes and other improvement work on maize.
 

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