A field experiment was conducted using twenty three rice genotypes including three check varieties during the period from June to December, 2013, at the Agronomy Field Laboratory, Department of Agronomy, Bangladesh Agricultural University, Mymensingh to study genetic variability, heritability and genetic advance (GA) for yield and yield associated traits in rice. The experiment was laid down in a randomized complete block design with three replications. Plant height, number of filled grains per panicle, days to 50% flowering, thousand grain weight, grain width and grain yield showed relatively high genotypic co-efficient of variation (GCV) and phenotypic co-efficient of variation (PCV) estimates. The PCV were higher than GCV for all eight traits indicating that they all interacted with the environment to some extent. High heritability was obtained for grain width (88.54%), followed by days to 50% flowering (87.61%), thousand grain weight (81.96%), grain length (81.94%), days to maturity (81.81%) and number of filled grains per panicle (78.19%) which indicates high heritable portion of variation. High to medium estimates of heritability and genetic advance were obtained for number of filled grains per panicle (18.97), days to 50% flowering (11.89), days to maturity (12.16) indicating the roles of additive gene action and a good scope of selection using their phenotypic performance. Considering, all of these characters, filled gains per panicle and days to 50% flowering and maturity were important yield related traits and could be used for selection in rice breeding programs.Progressive Agriculture 26:26-31, 2015
To ensure the productivity of rice in drought condition, NERICA varieties of African origin has been introduced in Bangladesh and subsequently mutant lines are also developed for improving the performance further. The present study was undertaken to screen out better drought tolerant mutant lines of NERICA having other desirable traits. Thirteen NARICA mutant lines, four susceptible (BINA dhan8, BINA dhan10, BINA dhan11 and BINA dhan12) and one tolerant (BRRI dhan56) varieties were included in the experiment and selection was based on morphological and molecular characteristics. The plants were grown in pot containing 9 kg of soil and when they were 60 days old, drought was imposed by adding 1L of distilled water at every four days interval till harvesting. The quantity of water applied to control pots was double. The results showed that important yield contributing morphological attributes like days of 50% flowering, plant height, total number of tiller hill-1, panicle length, 100 seed weight, fresh weight of plant and dry weight of plant were significantly positively regulated due to drought in N10/300/P-2(1)-3-5, N1/250/P-6-2-7 and N10/300/P-2(1)-6-13 mutant lines. The findings of genetic diversity analysis through SSR markers RM32, RM202, RM351 and RM510 for N10/300/P-2(1)-3-5, N1/350/P-2-2-6 and N1/250/P-6-2-7 lines appeared to resemble to that of control (BRRI dhan56) from the UPGMA dendrogram. Based on morphological, molecular characteristics and UPGMA dendrogram study, mutant lines N10/300/P-2(1)-3-5 and N1/250/P-6-2-7 lines appeared superior as genetic material for developing better drought tolerant rice varieties.Progressive Agriculture 26:15-21, 2015
Studies on genetic variability, heritability and genetic advance were carried out with 14 genotypes of Lablab bean (Lablab purpureus L.) cultivated at the Agro-ecological zone9 (AEZ-9) comprising the Old Brahmaputra Floodplain Soil. Considerable amount of genotypic and phenotypic coefficient of variation was observed for all characters studied. Phenotypic variation was greater than that of the genotypic variations for all the characters. The greater portion of total phenotypic variation was due to the genotypic variation. Highest genetic and phenotypic variation were observed for green pod yield per plant (1882.68 and 2108.43, respectively) and 100-green seed weight (1380.91 and 1452.07, respectively) Heritability values were higher for days to maturity (81.37) , number of raceme per plant (80.62), pod length (99.43), pod width (99.27), green pod yield per plant (89.29), dry shelling percentage (91.58), seed yield per plant (84.93) and protein content (98.11) indicating the better potentials of improving these characters for improvement of yield. Maximum genetic advance expressed as percentage of mean was recorded for green pod yield per plant (95.22).Progressive Agriculture 26:22-25, 2015
Twenty genotypes of country bean were evaluated to explore the association between yield and yield contributing traits in country bean in field condition. Experiment was conducted at field laboratory of department of Genetics and Plant Breeding (GPB), Bangladesh Agricultural University (BAU), Mymensingh. Traits association through computing correlation coefficient and path coefficients were done both at genotypic and phenotypic levels. Among the twelve morphological traits, genotypic and phenotypic correlation studies showed number of raceme per plant and number of flower buds per raceme had significantly positive relationship with seed yield per plant. Genotypic correlation also showed significant positive relation between number of seed per plant and seed yield per plant. Path coefficient analysis revealed that days to 50 per cent flowering, number of raceme per plant, green pod length, 100 dry seed weight, green shelling percentage, dry shelling percentage showed positive effect on seed yield in genotypic level . Also in phenotypic level days to 50% flowering, days to maturity, number of flower buds per plant, green pod length, number of seed per pod, green pod yield per plant, green test weight and dry shelling percentage showed direct effect on seed yield. The association between traits revealed in the present study shall be of great help to choose parents with desirable traits for hybridization, selection method to follow, and selection criteria towards a successful breeding program. Traits with strong association with yield can be improved easily, but with weak relationship, needs more observations to obtain the better segregates.Progressive Agriculture 28 (3): 184-189, 2017
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