Predicting the seed cotton yield with value added medium range weather forecast data using CROPGRO-Cotton model at Bhathinda, Punjab

Q3 Agricultural and Biological Sciences

Journal of Agrometeorology Pub Date : 2024-03-01 DOI:10.54386/jam.v26i1.2244

Sanyam, R. K. Pal, P. Kingra, Anureet Kaur, S. K. Mishra, Tirath Singh, Abhishek Dhir

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引用次数: 0

Abstract

In order to assess the potential of the medium-range weather forecast in predicting the cotton productivity using crop simulation model, the CROPGRO-cotton model was calibrated and validated with the experimental data which was collected during kharif 2021 in an experiment that was carried out with two Bt cotton hybrid (RCH 776 and RCH 773) and one non-Bt (F2228), and sown at five dates i.e., April 25th, May 05th, May 15th, May 25th and June 04th in split-plot design with three replications at Punjab Agricultural University (PAU) Regional Research Station, Bathinda. The validated model was further used to assess the cotton productivity under different sowing dates using medium range weather forecast data on rainfall, maximum temperature and minimum temperature obtained for the period 2013-2021. The results showed that simulated values with medium range weather forecast were in close agreement with the simulated values for phenology and yield of cotton. The simulated cotton yield using daily medium range weather forecast data showed more or less significant efficiency to capture year-to-year as well as datewise variability in simulated cotton yield.

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利用旁遮普省 Bhathinda 的 CROPGRO-Cotton 模型，利用增值中程天气预报数据预测籽棉产量

为了评估中程天气预报在利用作物模拟模型预测棉花产量方面的潜力，CROPGRO-棉花模型与 2021 年种植季期间收集的实验数据进行了校准和验证、4 月 25 日、5 月 05 日、5 月 15 日、5 月 25 日和 6 月 04 日，在巴辛达旁遮普农业大学（PAU）地区研究站进行了三次重复的分小区设计。利用 2013-2021 年期间获得的降雨量、最高气温和最低气温的中程天气预报数据，验证后的模型被进一步用于评估不同播种日期下的棉花生产力。结果表明，中程天气预报的模拟值与棉花物候期和产量的模拟值基本一致。利用每日中程天气预报数据模拟的棉花产量或多或少显示出了显著的效率，能够捕捉到模拟棉花产量的年际和日期变化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Agrometeorology 农林科学-农艺学

CiteScore

1.40

自引率

0.00%

发文量

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.