No abstract

No abstract

The present study was conducted to study genetic variability and association among agronomic characters of pea (Pisum sativum L.) genotypes. The field experiment was conducted using ten genotypes at College of Agricultural Sciences (CAS) of International University of Business Agriculture and Technology (IUBAT), Dhaka, Bangladesh during the Rabi season (November 2020 to March 2021). Treatments were using the randomized complete block design (RCBD) with three replications. Highly significant (p ≤ 0.01) differences among the tested genotypes were observed. The results obtained revealed that the mean squares of the genotypes (G6) were best for 50% flowering (50.38), days to maturity (122.08) and fresh pod shelling percentage (65.29%). Genotype (G2) had highest plant height (142.08 cm), pods plant-1(39.96) and seed yield plant-1 (52.04 gm). G9 had maximum 100-seed fresh (43.90 gm) and dry (21.29 gm) weight. Genotype (G5) had best primary branches plant-1 whereas G8 had maximum pod length (8.86 cm) and seeds pod-1 (6.26). The estimates of heritability and genetic advance were high for days to 50% flowering (0.99, 35.38%), plant height (0.95, 46.88%) and seed yield plant-1 (0.97, 62.47%). High heritability with moderate genetic advance were observed for days to maturity (0.97, 20.20%), pod length (0.95, 15.37%) fresh pod shelling percentage (0.82, 21.58%), 100-seed fresh (0.90, 29.52%) and dry weight (0.93, 22.68%). Significant and positive phenotypic coefficient of correlation was exhibited by seed yield plant-1 with plant height (rp = 0.64), days to 50% flowering (rp= 0.63), days to maturity (rp = 0.78), pods plant-1 (rp = 0.72), pod length (rp = 0.66), fresh pod shelling percentage (rp = 0.64), 100-seed fresh weight (rp = 0.65) and 100-seed dry weight (rp = 0.62). Significant and positive genotypic coefficient of correlation was exhibited by seed yield plant-1 with plant height (rg= 0.81), days to maturity (rg= 0.70) and pods plant-1 (rg= 0.84). Among tested genotypes G6, G2, G9 and G5 performed better, therefore could be used in future breeding programs. These traits best contributing to yield variation that emphasis by breeders for future yield improvement of the crop. It can be conclude that pea yield can be successfully improved by studying genetic variability and its agronomic characters.

The present study was carried out to estimate heritability, genetic variability, correlation and genetic advance among F5 populations of ten genotypes in Brassica species. This study was executed following randomized complete block design (RCBD) with three replications during November 2017 to February 2018 at the experimental field of College of Agricultural Sciences, International University of Business Agriculture and Technology, Dhaka, Bangladesh. Aim of the research was to evaluate and select the best segregating genotypes for the yield and yield contributing traits towards variety development programs. Analysis of variance revealed that the genotypes were significantly different for all the characters studied. The relative phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the traits studied. The high GCV value was observed for the days to 50% flowering (FF), plant height (PH), primary branches per plant (PBP), pod per plant (PP) and seed yield per plant (SYP) that indicated a high broad-sense heritability. A significant positive correlation with seed yield per plant was found in days to 50% flowering (0.578**), the plant height, (0.787**), pod length (PL) (0.406*), seeds per plant (SP) (0.369*), pod per plant (0.697**) and hundred seeds weight (HSW) (0.500**), but significantly negative correlation found in primary branches per plant (-0.046*). The results of path coefficient analysis revealed that days to 50% flowering (0.287), plant height (0.407), pod length  (0.919), seeds per plant (0.033), pod per plant (0.035) and hundred seeds weight (0.795) had a positive direct impact on seed yield per plant and thus it was indicated that these traits could be exploited for the enhancement of yield performance of Brassica species. This study showed that based on the agronomic performance execution, genotypes G2, G5, G6 and G8 might be proposed for future hybridization programs in Bangladesh followed by variety development activities.

Field performance of BARI Urea Super Granule (USG) applicator was evaluated on BARI research stations (Gazipur, Pabna, and Barisal) and farmer's field (Pabna, Barisal, Magura,Narshingdi,Jhenadah, Sirajgang, Rajbari and Jhalkathi) during the boro season of 2012-13. The applicator was tested with four treatments-application of USG by hand (165 kg/ha), application of USG by BARI USG applicator (165 kg/ha), application of prilled urea at USG rate (165 kg/ha) and application of prilled urea at farmers practice. In the farmer's field, USG applicators were evaluated with the traditional broadcasting of granular urea. Similar yield of rice was obtained from machine and hand application of USG in all locations. Higher yield of rice was obtained from USG than granular urea. During field test, average field capacity and efficiency of the applicator were 0.138 ha/h and 81%, respectively. Considering custom hiring, the net income per year was Tk. 71750 and the payback period was 3 days. The price of the applicator is Tk. 3500.