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基于APSIM的建模方法,以了解马里的生产环境

Madina Diancoumba^1,2,3, Jana Kholová^3,4, Myriam Adam⁵

¹International Crops Research Institute for the Semiarid Tropics (ICRISAT), BP 320, Bamako, Mali.

Agronomy for sustainable development

|April 25, 2024

概括

干旱压力影响了马里的产量,特别是在降雨量低 (<600毫米) 的地区. 模拟结果表明,对于某些类型,干旱可能不是在降雨量较高的区域 (>600毫米) 中的主要限制因素.

科学领域:

农业科学农业科学
气候科学气候科学
农业学是一种农业学.

背景情况:

在半干旱的非洲,由于降雨的变化,土壤肥力差以及生物因素,的产量很低.
了解生产限制对于改善系统至关重要.

研究的目的:

用in silico方法来描述干旱的发生及其对马里生产率的影响.
适应APSIM-sorghum模块用于模拟西非光周期敏感的类型.

主要方法:

利用最先进的in silico方法来模拟生产.
调整了APSIM-sorghum模块,用于两种光周期敏感的类型.
典型的干旱压力场景 (没有压力,早期预开花,开花压力).

主要成果:

确定了三个干旱场景,在降雨区和土壤类型中频率不同.
早期和开花的干旱压力在雨量低于600毫米的地区更为频繁,对于晚期开花的种类而言.
在雨量>600毫米的地区,产量稳定,但在<600毫米的地区受到干旱的影响.

结论:

干旱压力可能不是在雨量>600毫米的雨区中对的主要限制,对于测试的作物类型.
对光周期敏感度较低的品种在较干燥的地区 (<600毫米) 显示出产量增长.
这些发现为优化马里产量提供了基础,通过基因型×环境×管理策略.

关键词:

在CSM33535中,我们可以使用CSM335 在CSM63E中使用.作物模型作物模型 GxE相互作用的相互作用摄影周期的光学周期水资源短缺的情景

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