识别植物特征以增加在灌条件下小麦产量
Arezoo Abidi1, Afshin Soltani1, Ebrahim Zeinali1
1Department of Agronomy, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, 4918943464, Iran.
Heliyon
|June 7, 2024
概括
模拟模型确定了提高灌小麦产量的关键特征. 加快叶面积开发提供了最有希望的,在最佳条件下快速改善高产小麦种植.
科学领域:
- 农业科学 农业科学
- 植物生理学 植物生理学
- 作物建模作物建模
背景情况:
- 作物模型对于识别雨水小麦的理想特征至关重要.
- 关于在最佳条件下应用这些模型来优化灌小麦的研究有限.
- 模拟模型可以通过识别影响产量的特征来简化品种改进.
研究的目的:
- 利用SSM-iCrop模型来识别有效的植物特征以增加灌小麦产量.
- 在四个不同的伊朗环境中评估这些特征.
- 为提供针对高产灌小麦品种的有针对性的育种提供见解.
主要方法:
- 使用了SSM-iCrop模拟模型.
- 测试了广泛的特征,包括表观,叶面积的发展,干物质的生产和产量形成.
- 分析了伊朗四个不同的环境区的特征影响.
主要成果:
- 提高辐射利用效率 (RUE) 导致小麦产量增加19%.
- 加快的叶面积开发导致产量增加了10%-15%.
- 延长谷物填充期增加了14%的产量,而延长植被期增加了6%.
结论:
- 在最佳条件下,更快的叶面积增长是灌小麦在最佳条件下快速提高产量的最有希望的特征.
- 虽然RUE改进和更长的谷物填充时间是有效的,但它们可能会对系统层面产生影响.
- 修改后的特征需要增加水和的投入,需要进一步研究组合特征的潜力.
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