校正CERES3(玉米)以提高南非的吐丝日期预测值

A. D. Toit, J. Booysen, J. J. Human
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引用次数: 5

摘要

吐丝正值南非仲夏干旱,可能对玉米产量产生重大负面影响。吐丝期预测的误差会导致籽粒数模拟的误差,进而导致产量模拟的误差。在田间试验中,采用21个种植日期和代表短、中、长生长季节需求的3个品种,对作物生长模型CERES3 (Maize)进行了修改,使其对吐丝日期的模拟精度提高了4天。结果与历史数据集进行了验证,结果表明,模拟出丝日期的时间提高了两天。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calibration of CERES3 (Maize) to improve silking date prediction values for South Africa
Silking which coincides with the mid-summer drought in South Africa, could have a significant negative effect on maize yield. Errors in the prediction of silking date could contribute to errors in kernel number simulation, and consequently to errors in yield simulation. A field trial, comprising 21 planting dates and three cultivars representing short, medium and long growing season requirements was used to modify the crop growth model CERES3 (Maize) to improve its accuracy in the simulation of silking date by four days. The results were verified against a historical data set and showed an improvement in the simulation of silking date by two days.
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