基于DSSAT-CROPGRO-大豆模型的大豆产量模拟和可持续性评估
Lei Zhang1, Zhenxi Cao1,2,3, Yang Gao1,3,4
1Modern Agricultural Engineering Key Laboratory at Universities of Education Department of Xinjiang Uygur Autonomous Region, College of Water Hydraulic and Architectural Engineering, Tarim University, Alar 843300, China.
Plants (Basel, Switzerland)
|September 14, 2024
概括
在新疆南部扩大大豆种植需要最佳的灌. 这项研究发现,36-42毫米的灌可以最大限度地提高大豆的产量和用水效率,这对区域粮食安全至关重要.
科学领域:
- 农业科学 农业科学
- 农业学是一种农业学.
- 植物生理学作物生理学
背景情况:
- 国家粮食和石油安全需要在新疆扩大大豆种植.
- 在新疆南部,缺水和低于最佳的种植技术阻碍了大豆生产.
- 缺乏配套灌系统限制了该地区大豆产量潜力.
研究的目的:
- 确定在新疆南部最大限度地提高大豆产量和用水效率的最佳灌量.
- 评估DSSAT-CROPGRO-大豆模型在不同灌水平下模拟大豆生长和产量的准确性.
- 为在缺水地区可持续种植大豆提供理论基础.
主要方法:
- 现场实验是在2022-2023年进行的,有三个灌水平 (27,36,45毫米),以测量干质量和产量.
- DSSAT-CROPGRO-Soybean模型使用1994-2023年的气象数据进行了校准和验证.
- 模型模拟评估了不同灌场景下的潜在产量,生物质和土壤水储量.
主要成果:
- DSSAT-CROPGRO-大豆模型准确地预测了大豆的出现,开花和成熟.
- 对生物质,土壤储水和产量的模型预测显示出高准确度 (R2 > 0.64).
- 随着灌,大豆生物量增加;36-45毫米的最佳灌产量高达4984.73公斤·hm-2,最大的用水效率在33-36毫米.
结论:
- 南新疆大豆种植的最佳灌量估计在36至42毫米之间.
- 这种灌范围平衡了大豆的高产量与高效的水资源利用.
- 该研究为开发有效的灌策略提供了关键数据,以加强干旱和半干旱地区的大豆生产.
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