Long-term response of rainfed sorghum to diverse growing environments and optimal sowing window at Coimbatore

Q3 Agricultural and Biological Sciences Journal of Agrometeorology Pub Date : 2023-11-30 DOI:10.54386/jam.v25i4.2362
AMMAIYAPPAN A., V. Geethalakshmi, K. BHUVANESWARI, M.K. KALARANI, N. THAVAPRAKAASH, M. PRAHADEESWARAN
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Abstract

Rainfed sorghum production is profoundly vulnerable to climate variability. Sowing the crop at an appropriate time could be one of the most crucial climate-resilient options to improve the yield. The well-calibrated and validated CERES-Sorghum model was employed to study the rainfed sorghum response to varied environments over the long term (1983–2021) and to determine the optimum sowing window at Coimbatore, Tamil Nadu. The CERES-Sorghum model was used for automatic-planting with a different minimum threshold of 50,60,70 and 80 percent soil water content at 15 cm soil depth under various sowing windows from 1stSeptember to 13th October at a 7-day interval. The model results of automatic planting event indicated the best performance of 1st September sowing window at 50 percent soil water content over 39 years under semi-arid environment. The temperature rise of 1˚C exhibited no significant influence on sorghum grain yields at all sowing windows and a slight reduction in yield was observed at an elevated 2˚C temperature. A further rise in temperature reduced the yield drastically on September month sowings. Across the sowing window, first week sowing window (1st to 7th September) yield was higher under current climatic conditions. The yield of 1st September sowing window remained higher in the elevated temperature conditions as well as in both deficit and excess rainfall conditions than other sowings. In current and future climatic conditions, 1st September sowing window would be the best sowing time to mitigate climate risk in rainfed sorghum.
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哥印拜陀的雨养高粱对不同生长环境和最佳播种期的长期反应
雨养高粱生产极易受到气候多变性的影响。在适当的时间播种高粱是提高产量的最重要的气候适应性选择之一。本研究采用了经过校准和验证的 CERES-Sorghum 模型来研究雨养高粱对不同环境的长期(1983-2021 年)响应,并确定泰米尔纳德邦哥印拜陀的最佳播种期。在 9 月 1 日至 10 月 13 日的不同播种期内,使用 CERES-Sorghum 模型进行自动播种,在 15 厘米土层深度的土壤含水量为 50%、60%、70% 和 80%的不同最低阈值条件下,每隔 7 天播种一次。自动播种事件的模型结果表明,在 39 年的半干旱环境中,9 月 1 日播种窗口在土壤含水量为 50% 的情况下表现最佳。温度升高 1 摄氏度对所有播种窗口的高粱谷物产量均无显著影响,而温度升高 2 摄氏度时产量略有下降。温度进一步升高会使 9 月份播种的高粱大幅减产。在所有播种窗口中,第一周播种窗口(9 月 1 日至 7 日)的产量在当前气候条件下较高。在气温升高、降雨不足和降雨过多的情况下,9 月 1 日播种窗口的产量仍高于其他播种窗口。在当前和未来的气候条件下,9 月 1 日播种期将是雨养高粱降低气候风险的最佳播种期。
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来源期刊
Journal of Agrometeorology
Journal of Agrometeorology 农林科学-农艺学
CiteScore
1.40
自引率
0.00%
发文量
95
审稿时长
>12 weeks
期刊介绍: The Journal of Agrometeorology (ISSN 0972-1665) , is a quarterly publication of Association of Agrometeorologists appearing in March, June, September and December. Since its beginning in 1999 till 2016, it was a half yearly publication appearing in June and December. In addition to regular issues, Association also brings out the special issues of the journal covering selected papers presented in seminar symposia organized by the Association.
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