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首页> 外文期刊>Nitrogen >The Use of Remote Sensing to Determine Nitrogen Status in Perennial Ryegrass ( Lolium perenne L.) for Seed Production
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The Use of Remote Sensing to Determine Nitrogen Status in Perennial Ryegrass ( Lolium perenne L.) for Seed Production

机译：使用遥感来确定种子生产多年生黑麦草（Lolium Perenne L.）中的氮现状

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Sufficient nitrogen (N) supply is decisive to achieve high grass seed yields while overfertilization will lead to negative environmental impact. From the literature, estimation of N rates taking into account the crop’s N status and its yield potential, seems promising for attaining high yields and averting adverse environmental impacts. This study aimed at an evaluation of remote sensing to predict final seed yield, N traits of the grass seed crop and the usability of nitrogen nutrition index (NNI) to measure additional N requirement. It included four years’ data and eight N application rates and strategies. Several reflectance measurements were made and used for the calculation of 18 vegetation indices. The predictions were made using partial least square regression and support vector machine. Three different yield responses to N fertilization were noted; one with linear response, one with optimum economic nitrogen (EON) at ~188 kg N ha?1, and one with EON at ~138 kg N ha?1. We conclude that although it is possible to make in-season predictions of NNI, it does not always portray the differences in yield potential; thus, it is challenging to utilize it to optimize N application.
机译：足够的氮气（n）供应是决定性的，以实现高草种子产量，同时越过过度受精会导致负面的环境影响。从文献来看，估计考虑到作物的N个状态及其产量潜力的N率，似乎有希望获得高产和避免不良环境影响。本研究旨在评估遥感以预测草种子作物的最终种子产量，N个特征以及氮营养指数（NNI）的可用性测量额外的N要求。它包括四年的数据和八个申请率和策略。进行了几项反射率测量并用于计算18个植被指数。使用部分最小二乘回归和支持向量机进行预测。注意到对抗施肥的三种不同的产量反应;一种具有线性反应，一个具有最佳的经济氮（EON），在〜188 kg n Ha = 1，以及在〜138 kg n j 2的eonα1。我们得出结论，虽然可以进行NNI的季节性预测，但它并不总是描绘产量潜力的差异;因此，利用它来优化n应用是挑战性的。

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