优化现象状况,以协同改善大米谷物产量和食用质量
Haocong Xu1, Bo Yao1,2, Tiezhong Zhu1
1Agricultural College, Anhui Agricultural University, Hefei, P. R. China.
Journal of the science of food and agriculture
|April 18, 2025
概括
优化化肥管理使用集成的NNI提高了大米产量和食用质量. 从移植到关节的累积集成NNI是精密农业的可靠预测指标.
科学领域:
- 农业学是一种农业学.
- 植物营养 植物营养
- 精准农业 精准农业 精准农业
背景情况:
- 优化 (N) 肥对于提高米粒质量而不会牺牲产量至关重要.
- 现象N状态指标被探索用于预测大米产量和食用质量.
- 实地实验进行了三年,使用两个印加品种和不同的N应用速率.
研究的目的:
- 评估现象学N状态在预测大米谷物产量和食用分数方面的有效性.
- 为米种植中N肥料管理提供数据驱动的建议.
- 调查N诊断指标与大米性能指标之间的相关性.
主要方法:
- 使用的营养指数 (NNI) 和综合的NNI (NNIinte) 来自临界N稀释曲线 (CNDCs).
- CNDCs是基于发芽干物质 (DM) 和叶面积指数 (LAI).
- 相关的N指标与相对收益率 (RY) 和相对进食得分 (RE) 跨越不同的生长阶段.
主要成果:
- 根据DM和LAI的CNDC,NNI和NNIinte显示了与RY和RE的显著相关性.
- 累积的NNIinte (移植到关节) 提供了比单阶段指标更好的RY和RE估计.
- 基于叶面积指数的CNDC提供了对RY和RE的全面和准确估计.
结论:
- 该研究强调了NNIinte作为诊断工具的潜力,用于估计精准农业中的大米产量和饮食质量.
- NNIinte可以有效地确定N要求,以实现大米的高产量和优质品质.
- 推的最佳N肥施加率:126-209公斤/ha-1以获得高产量和良好的食用质量.
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