Waterlogging Tolerance of Soybean

Ara, Rowshon; Mannan, MA; Khaliq, Q. A.; Miah, MM Uddin

doi:10.3329/baj.v18i2.28912

Cited by 13 publications

(11 citation statements)

References 4 publications

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“…Plants are randomly revealed to unfavorable environmental circumstances, which are named as abiotic stresses, for instance, waterlogging, drought, salinity, heavy metal stress, high temperature, nutrient stress, radiation, and environmental pollution [1], and as a result pose a serious ultimatum to crop production. Waterlogging in cultivated areas is a common abiotic stress which has severe influences on the composition and production of soybean [2,3] and most crops' species worldwide [4,5]. Excess rainfall, tides, floods, storms, and lack of adequate drainage facilities are the causes of waterlogging stress in plants [6].…”

Section: Introductionmentioning

confidence: 99%

Screening of Soybean Genotypes for Waterlogging Stress Tolerance and Understanding the Physiological Mechanisms

Sathi

Masud

Falguni

et al. 2022

Advances in Agriculture

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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.

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Section: Introductionmentioning

confidence: 99%

Screening of Soybean Genotypes for Waterlogging Stress Tolerance and Understanding the Physiological Mechanisms

Sathi

Masud

Falguni

et al. 2022

Advances in Agriculture

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“…Effect of Simulated Waterlogging Condition Imposed at Early Vegetative Growth on Final Yield in Greengram (Vigna radiata) reduction in the number of seeds pod -1 respectively. Reduction in number of seeds pod-1 by exposure to waterlogging were reported in greengram by Jaffar Ullah (2006) and Ara et al (2015).…”

Section: Number Of Seeds Pod -1mentioning

confidence: 82%

Effect of Simulated Waterlogging Condition Imposed at Early Vegetative Growth on Final Yield in Greengram (Vigna radiata)

Saikia

Kalita

Das

2020

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Background: ‘Rain’ plays a very important role since most of the agricultural productivity is rainfall dependent. However at the same time unpredictable and untimely rainfall are also responsible for crop loss. In India, our North-eastern region receives the highest amount of rainfall. Even in pre-monsoon season, our region receives very high amount of rainfall which hampers the crop production, especially the summer season greengram. Hence, an effort had been made to screen some genotypes of summer greengram, tolerant to waterlogging condition. A study was carried out during the summer season to evaluate the physiological performance of some greengram genotypes as influenced by waterlogging condition of varying duration imposed at early vegetative stage of growth.Methods: From an initial screening of forty genotypes in laboratory condition, five genotypes were selected based on germination percentage, seedling length and vigour index. These five genotypes were further evaluated in a pot experiment with four treatment combinations comprising of control (T1), waterlogging for 4 days (T2), waterlogging for 8 days (T3) and waterlogging for 12 days (T4). Waterlogging conditions were created in the pots at the time of sowing. Result: Water logging caused adverse effect on growth and development of all the genotypes, with the longest waterlogging showing severe deleterious effect. The parameters viz. germination percentage, leaf chlorophyll content, leaf area, plant height, nitrate reductase activity, number of seeds pod-1, pods plant-1, root length, number of root nodules plant-1 and harvest index were found to decline under waterlogged condition whereas, lipid peroxidase and superoxide dismutase activity showed higher values under waterlogged condition. The performance of the genotype Sadiya Local was found to be the best from the point of view of tolerance as indicated by higher seed yield followed by AKM 12-28. The better performance of this genotype appeared to be related to the higher values for some traits viz. germination percentage, leaf chlorophyll, nitrate reductase activity, superoxide dismutase activity, number of pods plant-1 and harvest index.

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Section: Resultsmentioning

confidence: 99%

“…Therefore, this may have led to a soybean yield reduction in low elevation regions. Some studies have shown lower soybean yield due to soil water saturation in the reproductive stage (Ara et al, 2015;Linkemer et al, 1998;Schöffel et al, 2001;VanToai et al, 2010). Linkemer et al (1998) suggest avoiding stress by excess water in the reproductive stage from R1 to R5 (Beginning bloom -Beginning seed) to obtain optimal soybean yield.…”

Section: Spatial Correlation Analysis and Selection Of Variablesmentioning

confidence: 99%

Delineation of management zones in integrated crop–livestock systems

et al. 2021

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The lack of studies on spatial variability in integrated crop–livestock systems (ICLS) hinders understanding how to increase their efficiency by implementing precision agriculture (PA) practices. As such, little is known about how grain and forage crops interact and how to improve the decision‐making process on fertilization and forage management. One technique that can help manage such systems is the delineation of management zones (MZs), regions with similar yield potential and soil and topography characteristics. Thus, this paper assesses the spatial correlation between yield and potential factors affecting it, and identifies whether it is possible to establish MZs for field management of grain and forage crops in succession in ICLS. Bivariate Moran's index was used to identify the attributes most spatially correlated with the yields. Elevation, soil apparent electrical conductivity, and clay content were the most spatially correlated variables with soybean [Glycine max (L.) Merr.] yield, while soil organic matter content and elevation were the most spatially correlated with the forage yield. Spatial principal components analysis and fuzzy c‐means clustering algorithm were combined to delineate MZs for each crop. The MZs created for soybean were statistically different in grain yield, available phosphorus (P) in the 0‐to‐0.40‐m layer and pH in the 0‐to‐0.20‐m layer. The forage MZs showed significant differences in terms of available P in the 0‐to‐0.40‐m layer. We conclude that MZs for ICLS tends to be crop specific, demanding different MZs to characterize soybean and forage spatial variability.

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Waterlogging Tolerance of Soybean

Abstract: not availableBangladesh Agron. J. 2015, 18(2): 105-109

Cited by 13 publications

References 4 publications

Screening of Soybean Genotypes for Waterlogging Stress Tolerance and Understanding the Physiological Mechanisms

Screening of Soybean Genotypes for Waterlogging Stress Tolerance and Understanding the Physiological Mechanisms

Effect of Simulated Waterlogging Condition Imposed at Early Vegetative Growth on Final Yield in Greengram (Vigna radiata)

Delineation of management zones in integrated crop–livestock systems

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