Abstract
Thirty eight rapeseed genotypes were evaluated to estimate the genetic variability and association among the genotypes, following 8 quantitative characters. A considerable amount of genetic variability were found ranges from 1000 seed weight (11.09g) to harvest index (44.00%) and phenotypic variability for plant height (13.36m) to harvest index (44.14%). High heritability was found for all characters except 1000 seed weight (67.04g). Minimum genetic advance was observed for 1000 seed weight (0.63g) and maximum for plant height (29.72m). The lowest genetic advance in percent of mean was found in 1000 seed weight (18.70g) and highest in harvest index (90.35%). Plant height, raceme length and 1000 seed weight have significant positive association with yield with harvest index. Plant height, raceme length, 1000 seed weight and harvest index have imposed direct positive effect on yield per plant (g). As Plant height, raceme length, 1000 seed weight and harvest index are mainly driven by the additive genes so that selection criteria based on this characters should be effective.Bangladesh J. Pl. Breed. Genet., 29(2): 11-16, 2016
Highlights
Brassica napus L. is second most important oilseed crop in the international oilseed market after soybean and important source of vegetable oil (Verma et al, 2016)
The genotype coefficients for plant height, raceme length and siliqua/raceme were close to their phenotypic ones suggesting little influenced of environment on these characters
The characters siliqua per raceme, seeds per siliqua, harvest index and seed yield per plant should be included for yield improvement in rapeseed
Summary
Brassica napus L. is second most important oilseed crop in the international oilseed market after soybean and important source of vegetable oil (Verma et al, 2016). In Bangladesh, it occupies the 1st position in respect of area and production among the oil crops grown. One of the main objectives of any breeding program is to produce high-yielding and better-quality lines for release as cultivars to farmers. The prerequisite to achieve this goal is to find sufficient amount of variability, from which desired lines are to be selected for further exploration to achieve the breeding target. Seed yield is a complex character that can be determined by several components reflecting positive or negative effects upon this trait, whereas it is important to examine the contribution of each of the various components in order to give more attention to those having the greatest influence on seed yield (Marjanovic- Jeromela et al, 2007). Determination of correlation coefficients is an important statistical procedure to evaluate the association among yield
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