Waterlogging is a common form of abiotic stress that severely impedes global soybean production. Targeting this issue, an experiment was carried out at Sher-e-Bangla Agricultural University during August–November 2019 to screen out the waterlogging tolerance and yield performances of selected soybean genotypes. The experiment was laid out in a completely randomized design (CRD) with three replications consisting of 2 water levels (control and waterlogging) and 12 genotypes (Sohag, BARI Soybean-5, BINAsoybean-1, BINAsoybean-2, BINAsoybean-3, BINAsoybean-5, BINAsoybean-6, SGB-1, SGB-3, SGB-4, SGB-5, and GC-840). On the 15th day after sowing, plants were exposed to waterlogging for 12 days. Waterlogging remarkably declined the growth and yield of all the soybean genotypes compared to control. Reduced plant height, relative water content, above-ground fresh and dry weight, SPAD value, leaf area, number of leaves, branches, pods, seeds pod−1, 100-seed weight, and seed yield plant−1 were observed under waterlogging stress. Conversely, mortality rate and electrolyte leakage were increased under the same condition. The waterlogged plants showed delayed flowering and maturity compared with the control plants. However, among the 12 genotypes, Sohag, BARI Soybean-5, GC-840, BINAsoybean-1, and BINAsoybean-2 showed better waterlogging tolerance. These genotypes showed a greater number of adventitious roots in the base of their stem, which probably helped plants to thrive under waterlogging conditions.
Sixteen advance genotypes of mungbeans under 5 different concentrations of Polyethylene Glycol (PEG) were studied to find out the better cultivar against drought stress condition. The experiment results revealed that germination, seedling production and water-related behavior of mungbean genotypes differed significantly under different PEG (drought inducer) concentrations. The mungbean genotype BINA Mung-6 (V 8 ) is proved as highly tolerant against drought stress condition among all other tested genotypes. The results of the investigation revealed that BINA Mung-6 (V 8 ) genotype consistently scored the highest value for all parameters except for the root shoot ratio and water retention capacity that was statistically comparable to genotypes BARI Mung-4 (V 2 ) and BINA Mung-5 (V 7 ). Consistently poor performance were recorded from IPM-02-03 (V 16 ) genotype which is Imtiaz et al.; ARRB, 35(2): 1-12, 2020; Article no.ARRB.55650 2 statistically similar as genotypes BMXK1-09015-2 (V 13 ) and BMXK1-09015-6 (V 10 ). The maximum percentage of germination (98.12%), shoot length (139.40 mm), root length (99.07 mm), shoot dry weight (22.32 mg), root dry weight (6.88 mg), relative water content (94.78), water retention capacity (24.98), germination co-efficient (22.27) and vigor index (233.90) were reported from BINA Mung-6 (V 8 ) at a concentration of 0 percent PEG. The minimum percentage of germination (28.22 percent), shoot length (31.17 mm), root length (16.50 mm), shoot dry weight (2.21 mg), root dry weight (0.97 mg), relative water content (25.55), water retention capacity (3.08), germination co-efficient (6.06) and vigor index (13.45) were reported from IPM-02-03 (V 16 ) mungbean advance lines at 0 percent PEG. Maximum (0.92) root shoot ratio was recorded from both BARI Mung-8 (V 6 ) and BMX-08011-2 (V 11 ) mungbean genotypes at 20 percent PEG concentration and minimum (0.22) at 0 percent PEG concentration from BARI Mung-5 (V 3 ) genotype. Maximum water retention capacity (74.45) was recorded at 20 per cent PEG concentration from IPM-02-03 (V 16 ) genotype and minimum (5.22) was at 0 per cent PEG concentration from BINA Mung-6 (V 8 ) genotype. Original Research Article
The research examined the status of adoption of BRRI dhan49 and explored the contribution of the selected characteristics of the cultivators to their adoption of BRRI dhan49. The methodology of this study is an integration of quantitative and qualitative methods based on data collection. Data were collected from 116 BRRI dhan49 cultivators from January 21 to February 20, 2017. Descriptive statistics and multiple regressions were used for analysis. Most of the farmers (78.4%) belong to medium adoption followed by high adoption (11.2%) by the rice cultivators. Among the influential variables, the level of education, annual family income, extension media contact, rice cultivation knowledge and attitude towards BRRI dhan49 were significant contributors and provided 53.8% contribution on adoption of BRRI dhan49. It was also found that 3.4%, 16.3%, 38.8%, 33.7% and 7.8% farmers were innovators, early adopters, early majority, late majority and laggards, respectively. It can be concluded that the composite adoption of BRRI dhan49 production technologies is moderate and needs further advancement. Based on the findings, it is recommended that respective authorities should implement and popularize farm-based projects on a massive scale for the adoption of BRRI dhan49.
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