Effect of intra-seasonal temperature on wheat at different locations of India: A study using CERES-Wheat model

Sandhu, S. S.; Prabhjyot‐Kaur,; TRIPATHI, None PADMAKAR; Patel, S. R.; Prasad, Rajendra; SOLANKI, N. S.; Kumar, Ramesh; Singh, C. B.; Dubey, Anil Kumar; Rao, V. U. M.

doi:10.54386/jam.v18i2.939

Cited by 11 publications

(5 citation statements)

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“…However, for average data, it was non-significant. The highest BY for -2016, and 2016was observed with HD-2733 Varieties had a non-significant effect on harvest index (HI) except for the years 2014-2015 (Table 7). The highest HI for 2014-2015 was recorded with HD-2824 (40.66), which was comparable with HD-2733 (40.35).…”

Section: A B Cmentioning

confidence: 99%

“…Wheat production in Indo-Gangetic Plains is vulnerable to short-term temperature extremes (Lobell et al, 2012). Prevalence of dry westerly wind and sudden rise of temperature during the fag end of the growing season tends to shorten the grain filling period (Garg et al, 2013;Sandhu et al, 2016;Vashisth et al, 2020) and negatively impact grain setting of wheat (Sattar and Srivastava, 2021). It significantly affects growth and photosynthetic efficiency (Wang et al, 2011) and consequently reduces biomass and productivity (Farooq et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Responses of phenology, yield attributes, and yield of wheat varieties under different sowing times in Indo-Gangetic Plains

et al. 2023

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A field experiment with wheat was conducted at Pusa (25.98°N, 85.67°E, 52 m amsl), Bihar (middle Gangetic plains of India), to assess the responses of phenology, yield attributes, and yield to growing season temperature and heat stress. For this purpose, wheat was planted on five dates (viz., 15 November, 25 November, 5 December, 15 December, and 25 December) for three consecutive years (viz., 2014–2015, 2015–2016, and 2016–2017) with three prominent cultivars of the region (viz., RAU-3711, HD-2824, and HD-2733). Five dates of sowing represent different wheat-growing micro-environments as imposed by varying sowing dates encompassing the entire sowing window. The study observed the significant effect of sowing dates on phenophase duration. In general, with progress in the date of sowing, tiller initiation was delayed, while the reverse trend was observed for later growth phases. Sowing environments significantly influenced the number of effective tillers m−2. Average numbers of effective tillers (ET) m−2 for the wheat sown during 15–25 November were almost 11.6% higher than those of the 25 December sown crop. Grain filling duration (GFD) showed a declining trend with the advancement of sowing dates due to increased thermal load on the crop during the reproductive period. 15 November planted crop exhibited the highest GFD (47 days), which was shortened significantly beyond 25 November, signifying agrometeorological non-suitability of wheat sowing beyond this window. Wheat sown on 25 November recorded the highest grain yield (3.21 Mg ha−1), 48.61% higher than the 25 December sown crop due to the congenial thermal regime. In this context, we have identified optimal and sub-optimal conditions to escape heat stress for higher wheat productivity. Moreover, the sum of deviation of temperature from optimum thresholds, computed for sensitive growth phases (50% flowering to physiological maturity), helped us to identify heat stress and its impact on wheat. Genotype-by-environment (GGE) biplot analysis revealed that RAU-3711 was found to be the most stable cultivar. A decrease in the yield of wheat by 4.9% to 12.0%, sown during November, and 33.8% to 42.4%, sown during December, is predicted in 2050-51 and 2080-81, respectively, under RCP 4.5.

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Section: A B Cmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Responses of phenology, yield attributes, and yield of wheat varieties under different sowing times in Indo-Gangetic Plains

et al. 2023

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“…About 80% of wheat sowing is delayed in the region beyond the period of 25 November, forcing the crop to encounter higher temperatures (terminal heat) during the growing season (end of February to March) (Sattar et al, 2023). Therefore, terminal heat stress associated with dry westerly wind is a serious climatic constraint for successful wheat cultivation in India, particularly when it occurs during the grain-filling stage (Sandhu et al, 2016;Sattar et al, 2020). In one study on wheat, Poudel et al (2021) observed that the optimum temperature during the anthesis and grain-filling stage ranges from 12 to 22°C.…”

Section: Introductionmentioning

confidence: 99%

Climate Science, Solutions and Services for Net Zero, Climate-Resilient Food Systems

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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“…Models can be used to predict crop growth, development and yield as a function of soil, climate, weather, and crop management conditions. Crop simulation models have been used to study the effect of intra-seasonal variation in temperature on yield of wheat in India [8]. Patil et.…”

Section: Introductionmentioning

confidence: 99%

CROPGRO-Cotton Model Application for Predicting Cotton Sowing Time in Nagarkurnool District of Telangana State, India

Mahadevappa

2023

IJECC

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Aims: A study was carried out to find out the optimum sowing time with the validated CROPGRO-Cotton model using DSSAT v 4.7 seasonal analysis tool under rainfed situation at mandal level in Nagarkurnool district of Telangana state, India. Study Design: CROPGRO-Cotton model using DSSAT v 4.7 seasonal analysis tool. Place and Duration of Study: Nagarkurnool district, 2023. Methodology: Cotton production was affected with changing climate in several ways and its impact on rainfed agriculture was higher and influences the Indian economy. The prevailing weather conditions during different phenophases of the crop influences the seed cotton yield. There is a need to optimize the sowing time so that the timing of critical growth stages to minimize stresses and enhance resource utilization. The adjusting of sowing environment proved to be an adaptation management technique for realising higher seed cotton yield. A well calibrated and validated model was used for long term simulations using DSSAT seasonal analysis tool programme with Mallika Bt as test variety for 100 different scenarios (20 mandals × 5 sowing dates) using 32 years historical daily weather data from 1991 to 2022 starting sowing time from 1st June to 1st August at 15 days interval in twenty mandals of the district. Results: The simulation results showed, significantly higher seed cotton yield (1505 kg ha-1) was predicted with crop sown on 1st June followed by 1st July sown crop (1337 kg/ha) which was comparable with 16th June (1324 kg/ha) and significantly differed with delayed sowings of 16th July sown crop (1203 kg/ha) and 1st August sown crop (1192 kg/ha). Among the different mandals of the district, the model simulated higher seed cotton yield (2136-2530 kg/ha) in Amrabad mandal and lower yields in Thimmajipet mandal (596-997 kg/ha) under different sowing environments. Conclusion: Based on simulation scenarios, higher seed cotton yield can be obtained when crop sown between 1st June to 1st July in different mandals of the Nagarkurnool district of Telangana State. The mandals which have less yield potential and realising poor yields by the farmers can be advocated with location specific alternate best management practices to get the higher cotton yield.

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Effect of intra-seasonal temperature on wheat at different locations of India: A study using CERES-Wheat model

Cited by 11 publications

References 6 publications

Responses of phenology, yield attributes, and yield of wheat varieties under different sowing times in Indo-Gangetic Plains

Responses of phenology, yield attributes, and yield of wheat varieties under different sowing times in Indo-Gangetic Plains

Climate Science, Solutions and Services for Net Zero, Climate-Resilient Food Systems

CROPGRO-Cotton Model Application for Predicting Cotton Sowing Time in Nagarkurnool District of Telangana State, India

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