Managing Photothermal Environment for Improving Crop Productivity

Bal, Santanu Kumar; Bhagat, Kiran P.; Chowdhury, Arnab Roy; More, Nilesh; Suman, Shruti; Singh, Harpreet

doi:10.1007/978-981-13-1861-0_6

Advances in Crop Environment Interaction 2018

DOI: 10.1007/978-981-13-1861-0_6

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Managing Photothermal Environment for Improving Crop Productivity

Santanu Kumar Bal

Kiran P. Bhagat

Arnab Roy Chowdhury

et al.

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2024

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Cited by 7 publications

(5 citation statements)

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“…Planting a crop on different dates during a year exposes the crop to different temperature regimes during its growing season, allowing an understanding of crop responses to temperature without the artificial conditions imposed by controlled environments (Vijaya Kumar, 2015). Such experiments help us to understand how the changes in thermal and moisture regimes during different growth stages influence crop productivity (Bal et al, 2018). Soybean cultivation is highly sensitive to environmental conditions (Bhagat et al, 2017), and temperature plays a critical role in various stages of its growth cycle, from germination to flowering and pod development.…”

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confidence: 99%

Crop-weather relationship of soybean in Marathwada region of Maharashtra

K. K. DAKHORE,

Y. E. KADAM,

D. R. KADAM

et al. 2024

J. Agrometeorol.

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A long-term experiment was conducted during kharif seasons of2013 to 2020 at AICRP on Agrometeorology, VNMKV, Parbhani, to study the crop-weather relationship of soybean grown under four environments (27th SMW, 28th SMW, 29th SMW and 30th SMW) with three soybean varieties (MAUS-158, MAUS-71, and JS-335). Results indicated that soybean yield was significantly highest in (1541.4 kg ha-1) in the early sown crop, and it decreased with delay in sowing with the lowest yield (803.8 kg ha-1). Among the cultivars, MAUS-158 produced significantly the highest yield (1321.3 kg ha-1). Correlation analysis between weather parameters during different phases with the yield revealed that the vegetative and grain formation period of soybean were found to be the most sensitive to weather parameters, as the correlation coefficients with most of the weather parameters. Rainfall, number of rainy days, humidity and soil moisture had favorable effects while temperatures and sunshine duration had negative effects on the yield of soybean in the Marathwada region. Individual weather parameters during 50% flowering to maturity period could explain 40 to 55% variation in the soybean yield while the multiple regression developed all weather parameters during grain formation to physiological maturity period could explain up to 82% variation which could be used the predict the soybean yield in Marathwada region

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confidence: 99%

Crop-weather relationship of soybean in Marathwada region of Maharashtra

K. K. DAKHORE,

Y. E. KADAM,

D. R. KADAM

et al. 2024

J. Agrometeorol.

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“…Crop responses to temperature regime vary with variety and phenological stage of the crop (Shpiler and Blum, 1986). With the help of crop weather relationship, it is possible to show as to how the changes in temperatures and solar radiation during different growth stages influence the crop productivity (Bal et al, 2018). The growth and yield of crops is dependent upon the integrated effects of weather phenomena prevailing during different growth stages.…”

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confidence: 99%

Evaluating temperature thresholds and optimizing sowing dates of wheat in Bihar

Sattar

Singh

et al. 2021

J. Agrometeorol.

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Studies on wheat-weather relationship were carried out at Pusa (25.98 oN, 85.67 oE, 52 m), Bihar situated in middle Gangetic plains of India, with three popular wheat cultivars viz. RW 3711, HD 2824 and HD273, grown under five fixed dates of sowing viz. 15 November, 25 November, 5 December, 15 December and 25 December, for five consecutive rabi seasons from 2011-12 to 2015-16. Thresholds of maximum temperature (Tmax), minimum temperature (Tmin) and bright sunshine hours (BSH), associated with higher productivity, occurring at different phenophases, were determined. Results revealed that temperature played a crucial role in achieving higher grain yield of wheat. Both Tmax and Tmin during flowering to milking and flowering to maturity phases increased with delayed sowing dates beyond 25 November with consequent reductions in grain yield. During 50 % flowering to milk stage, Tmax and Tmin above 24.6 oC and 11.6 oC, respectively, reduced grain yield below 4000 kg ha-1; significant reduction in grain yield was also noted beyond maximum temperature of 26.9 oC. During flowering to milk and flowering to maturity phases, Tmax and Tmin exhibited highly significant negative correlation with grain yield, indicating higher temperatures causing lower grain yield. With delayed sowing, sensitive phases of the crop experienced higher air temperatures which led to reduction in grain yield. An increase of Tmax from 29.2 to 32.1 oC during flowering to maturity phases reduced the wheat productivity drastically in this region of Indo-Gangetic plains. Grain yield declined by 399 kg ha-1 per 1 oC rise in Tmax during 50 % flowering to maturity stage. Considering grain yield vis-à-vis temperature regimes during flowering to maturity stage, the most important recommendation for the farmers of the region would be to finish wheat sowing before 25 November in order to enable them to escape terminal heat stress in wheat and thereby realizing higher grain yield. The anthesis-time management by manipulating sowing dates could be a realistic adaptation strategy for attaining optimum grain yield under changing climate scenario.

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“…Under high temperature induced atmospheric stress, the challenge to improve the crop productivity will be of an immense challenge for the farming community (Bal and Minhas, 2017). Therefore, it is imperative to generate information regarding sensitivity of green gram genotypes to higher temperature through screening and identifying suitable genotypes (Bal et al, 2018). Keeping the above facts in view, this study was conducted to evaluate five cultivars of green gramunder controlled elevated temperature conditions.…”

mentioning

confidence: 99%

Effect of elevated temperature on green gram [Vigna radiata (I).Wilczek] performance under temperature gradient tunnel (TGT) environment in Punjab

et al. 2021

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Physiology of green gram is highly sensitive to fluctuations in the thermal environment. Abnormally high temperatures during pod setting to pod development stage induces reduction in pod setting, nonhealthy development and early maturity of grain which results in yield decline. We evaluated the effect of elevated temperatures in a Temperature Gradient Tunnel (TGT) on phenology, physiology and crop performance of green gram cultivars at semi-arid climate of Indian Punjab (Ludhiana). Five green gram cultivars were grown in TGT chambers in a factorial randomized block design with varying level of elevated temperatures (+3.3° C to 5.2° C) for two consecutive kharif seasons (2015-2016). The results reveal that the phenological stages of green gram, were advanced under elevated temperature within the TGT compared to open / ambient condition by 12-13 days. Maximum influence was observed in pod formationand pod maturity stages. With rise in temperatures by 3.3 to 5.2°C in TGT over ambient condition, the plant height increased but the number of branches per plant and the total above ground biomass as well as grain yield decreased consistently. It was found that with 1 oC increase in average seasonal temperature, the grain yield decreased by 75 kg ha-1. On the other hand, the harvest index was in general lower inside TGT chamber implying adverse influence of elevated temperature on biomass production although the partitioning of biomass was more efficient inside the TGT as evident from increase in harvest index. There was strong negative correlation of elevated temperature (inside TGT) with different yield attributes like 1000 seed weight, number of seeds per pod and number of pods per plant. Among the five green gram cultivars, ML-2037 was the most tolerant while cv. SML-1811 was the most susceptible to elevated temperature condition. In general, the grain yield decreased linearly with gradual increase in temperature.Average seasonal temperature of 29-30 oC may be considered as the favourable thermal conditions for the green gram crop in semi-arid conditions of Punjab. However, the future thrust will be to create more temperature gradients in the lower side so that the critical temperature threshold limits for optimum yield of green gram can be ascertained more accurately.

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Managing Photothermal Environment for Improving Crop Productivity

Cited by 7 publications

References 105 publications

Crop-weather relationship of soybean in Marathwada region of Maharashtra

Crop-weather relationship of soybean in Marathwada region of Maharashtra

Evaluating temperature thresholds and optimizing sowing dates of wheat in Bihar

Effect of elevated temperature on green gram [Vigna radiata (I).Wilczek] performance under temperature gradient tunnel (TGT) environment in Punjab

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