A. B. M. Khaldun
Plant Breeding Division, Bangladesh Agricultural Research Institute, Gazipur-1701, Bangladesh.
Salauddin Ahmed
Agricultural Research Station, Burirhat, Rangpur.
M. Shalim Uddin
Agricultural Research Station, Burirhat, Rangpur.
Abu Alam Mondal
Agricultural Research Station, Burirhat, Rangpur.
M. Mahfuzul Haque
Regional Agricultural Research Station, Jamalpur.
M. A. Islam
Regional Agricultural Research Station, Hathazari, Chittagong.
Zea mays, Adaptabolity, Breeding, Maize, Popcorn, Selection, Stability
Gazipur, Burirhat, Rangpur, Jamalpur, Hathazari, Chittagong
Variety and Species
The experiments were conducted under Plant Breeding Division of BARI at four locations viz. Gazipur, Burirhat (Rangpur), Jamalpur and Hathazari (Chittagong) during 2007-08. Nine popcorn hybrids (P1 ×P2, P1 ×P4, P1 ×P5, P4 ×P6, T-18 × K, T-11 × NS, T-14 × NS, T-15 × NS and T-18 × NS where, P1 = BARI popcorn line 14, P2 = BARI popcorn line 8, P4 = BARI popcorn line 11, P5 = BARI popcorn line 12, P6 = BARI popcorn line 7, T-18 = BARI popcorn line 18, T-11 = BARI popcorn line 11, T-14 = BARI popcorn line 14, T-15 = BARI popcorn line 15, K= Khoibhutta, NS= Nakhan Suwan popcorn) and two check varieties, viz. Popcorn Burst and Khoibhutta were evaluated in this trial. The experiments were carried out in a randomized complete block design, with three replications. Each experimental plot was comprised of 5 m long rows of two rows. 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 maturity was recorded on whole plot basis. Ten randomly selected plants were used for recording observations on plant height. All the plants I two rows were considered for plot yield. The grain yield (ton ha-1) data was estimated and adjusted at 12% moisture. 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 + S?k?ikajk +?ij+eij; where µ is a common constant to the responses (normally the general mean); gi is the fixed effect of genotypes I (i+1, 2,…,g); aj is the fixed effects of environment j (j= 1, 2,…,a); S?k?ikajk is the fixed significant effect or pattern of the specific interaction of the genotype i with environment j (gaij), where, ? k is the k- th singular value (scalar), ? ik and ajk are the correspondent elements, associated to ? k, of the singular vectors (rows vector and column vector) of the matrix of interaction estimated by ANOVA. For the same matrix, ??ij 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 (o, s2). In this procedure, the contribution of each genotype and each environment to the GE interaction is assessed by the use of the biplot graph display in which yield means are plotted against the scores of the first principal component of the interaction (IPCAI). The computational program for AMMI analysis is supplied by 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.
SAARC JOURNAL OF AGRICULTURE, Vol. 8, Issue 1, 2010, pp. 70-78, ISSN 1682-8348, SAARC Agricultural Information Centre.
Journal