Effect of elevated temperature stress on growth, yield and yield attributes of mungbean (<i>Vigna radiata</i>) in semi-arid north-west India

Chikukura, L.; Bandyopadhyay, S; Kumar, S. Naresh; Pathak, H; Chakrabarti, Bidisha

doi:10.5958/2394-4471.2017.00003.x

Cited by 9 publications

(5 citation statements)

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“…Depending on crop growth stages, biotic stress influences seed yields. Existing literature supports those lower seed yields are most likely when crops are exposed to elevated temperature at vegetative, flowering and pod filling stages under both normal and late sowing conditions [20]. In the present investigation, the probability of exceeding the seed yield threshold of 1450 kg ha −1 would be expected in 50% of the years when sowing on This manuscript is a preprint and has not been peer reviewed.…”

Section: Probability Of Exceedancesupporting

confidence: 54%

Optimizing Sowing Window for Mungbean and its Adaptation Option for the South-Central Zone of Bangladesh in Future Climate Change Scenario Using APSIM Model

Ahmed¹,

Talukder²,

Ahmed³

et al. 2023

Preprint

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The Agricultural Production Systems Simulator (APSIM) model was calibrated and validated and used to optimize the sowing window for mungbean (var. BARI Mung-6) at Gazipur, the South-central climatic zone of Bangladesh. Simulation was also done with elevated temperatures (1, 2 and 3 ºC) to find out the adaptation option against future temperature stress situations. The model was run for eight sowing dates viz., February 20, March 05, March 10, March 15, March 20, March 25, March 30 and April 10 using long-term (41 years) historical weather data. A field experiment was carried out with BARI Mung-6 under four sowing dates (March 10, March 20, March 30, and April 10) during 2021 for model evaluation. The APSIM model was calibrated with the data from March 10 sowing, while validation was done with other sowing dates along with long-term (1981 to 2021) weather data. The evaluations with the experimental data showed that the model performance was satisfactory to predict crop phenology, total biomass and grain yields for BARI Mung-6. Simulated yields during March 10 to March 25 sowing was very similar to attainable seed yields while, very early or late sowing gave comparatively lower seed yields with higher variability over the years. The best planting window was from March 15 to March 25 which simulated the highest mean seed yield with less variability over the years. Climate change scenario analyses at 1, 2 and 3 ºC rises in temperature revealed that 1°C increase in temperature has no significant influence on seed yields across the sowing dates but significant yield reductions were observed with the rise of temperatures by 2 and 3 °C on March 20, March 30 and April 10 sowings. Elevated temperatures showed positive impact on seed yield of March 10 sowing only. Results revealed that optimum sowing window for mungbean is from March 15 to March 25 under existing weather conditions but in future, sowing mungbean seeds in March 10 would be the option to combat temperature rise stress situations for sustained productivity.

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Section: Probability Of Exceedancesupporting

confidence: 54%

Optimizing Sowing Window for Mungbean and its Adaptation Option for the South-Central Zone of Bangladesh in Future Climate Change Scenario Using APSIM Model

Ahmed¹,

Talukder²,

Ahmed³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Depending on crop growth stages, biotic stress influences grain yields. Existing literatures support that lower grain yields are mostly because of prevailing elevated temperature at vegetative, flowering and pod filling stages for both normal and late sowing conditions [22,23]. Although average grain yield of mungbean in Bangladesh is about 800 kg ha -1 , the present investigation showed that the probability of exceeding grain yield of about 1450 kg ha −1 would be possible in 50% of the years when sowing on March 20, followed by March 25 and March 15.…”

Section: Plos Climatementioning

confidence: 44%

Optimizing sowing window for mungbean and its adaptation option for the South-central zone of Bangladesh in future climate change scenario using APSIM model

et al. 2023

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Field experiment on sowing dates was carried out with BARI Mung-6 during pre-monsoon (kharif-I) season of 2021 for the evaluation of Agricultural Production Systems Simulator (APSIM) crop model. The APSIM model was parameterized using data from March 10 sowing, while validation was done with other sowing dates and data from literatures. Simulation was done with elevated temperatures (1-, 2- and 3-°C) to find out the adaptation option against future temperature stress situations. The model was run for different sowing dates using long-term (1981–2021) historical weather data. The evaluations showed that the model performance was satisfactory in predicting crop phenology, total biomass and grain yields of BARI Mung-6. Simulated grain yields during March 10 to March 25 sowings were very similar to attainable grain yields while, very early or late sowing gave comparatively lower grain yields. The best simulated planting window was from 15 to 25 March having the highest mean grain yields with less variability over the years. Increase in temperature by 1°C increase exhibited no significant influence on grain yields across the sowing dates, but significant yield reductions were observed with the rise of temperatures by 2 and 3°C on March 20, March 30 and April 10 sowings. Elevated temperatures showed positive impact on grain yield of March 10 sowing only. Results revealed that optimum sowing window for mungbean is from 15 to 25 March with existing weather conditions. In future temperature rises situations, sowing of seeds by the first week of March would be one of the options to combat climate change impact on mungbean grain yield in Bangladesh.

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“…Higher percentages of water retention on the sandy clay loam may also be a factor in the increase in seeds per pod. When considering temperature differences (Table 3), reported consistent results noting that a 2-3 degree increase in temperature can significantly decrease overall yield (−13.6%) and inhibit pod formation due physiological stress [34].…”

Section: Pod Number and Seeds Per Podmentioning

confidence: 61%

Evaluating Effects of Bradyrhizobium and Arbuscular Mycorrhizal Fungi Inoculation on Yield Components of Mung Bean (Vigna radiata (L.) Wilczek) and Nitrogen Fixation

et al. 2022

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Mung beans (Vigna radiata (L.) Wilczek) are only inoculated in some production systems, but there is a current lack of knowledge on the best inoculants to use for effective nitrogen fixation (nodulation) and plant yields. The objectives of the present study were to determine if the dual inoculation of Arbuscular Mycorrhizal Fungi (F) and Bradyrhizobium (R) provides greater (a) mung bean yield and quality (b) nitrogen fixation for mung bean and residual soil nitrogen for the following crop, and (c) determine if these effects are consistent across various environments. Field trials were conducted in Blacksburg, VA (sandy clay loam), and Eastern Shore, VA (sandy loam), over the summers of 2020 and 2021. There were 5 treatments replicated 5 times for each variety at each site; R, F, R + F, high nitrogen (N) (100 kg ha−1), and a control, for a total of 25 plots per site. Mung beans grown in Blacksburg in 2020 and 2021 averaged 53.8% more seeds per pod than mung beans grown at the Eastern Shore. Overall yield components (seeds per pod, pods per plant) are heavily influenced by soil type. Dual inoculation significantly increased grain yield (+33%) compared to a synthetic N fertilizer application, but did not significantly increase grain yield compared to the control (+22%). Dual inoculation may increase the grain yields of mung beans compared to synthetic fertilizer regime, but does not show evidence of improving N fixation.

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Effect of elevated temperature stress on growth, yield and yield attributes of mungbean (Vigna radiata) in semi-arid north-west India

Cited by 9 publications

References 0 publications

Optimizing Sowing Window for Mungbean and its Adaptation Option for the South-Central Zone of Bangladesh in Future Climate Change Scenario Using APSIM Model

Optimizing Sowing Window for Mungbean and its Adaptation Option for the South-Central Zone of Bangladesh in Future Climate Change Scenario Using APSIM Model

Optimizing sowing window for mungbean and its adaptation option for the South-central zone of Bangladesh in future climate change scenario using APSIM model

Evaluating Effects of Bradyrhizobium and Arbuscular Mycorrhizal Fungi Inoculation on Yield Components of Mung Bean (Vigna radiata (L.) Wilczek) and Nitrogen Fixation

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