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Predicting Grain Yield and Protein Content in Winter Wheat at Different N Supply Levels Using Canopy Reflectance Spectra

机译:利用冠层反射光谱预测氮供应水平下冬小麦的籽粒产量和蛋白质含量

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摘要

A field experiment using a split-plot randomized complete block design with three replications was carried out to determine relationships between spectral indices and wheat grain yield (GY), to compare the performance of four vegetation indices (VIs) for GY prediction, and to study the feasibility of VI to estimate grain protein content (GPC) in winter (low protein content) were used as the main plot treatments and four N rates, i.e., 0, 120, 210, and 300 kg N ha-1, as the sub-plot treatments. Increasing soil N supply significantly increased GY and GPC (P ≤ 0.05). For the two cultivars combined, significant and positive correlations were found between four VIs and GY, with the strongest relationship observed when using the green ratio vegetation index (GRVI) at mid-filling. Cumulative VI estimates improved yield predictions substantially, with the best interval being heading to maturity stage. Similar results were found between VI and grain protein yield. However, when using cumulative VI, GPC showed no significant improvement. The strong that canopy spectra could be used to predict GPC. The strong fit between estimated and observed GPC (R2=0.7939)indicated that remote sensing techniques were potentially useful predictors of grain protein content and quality in wheat.
机译:进行了一次实地试验,采用分裂图随机完整区组设计,进行了三次重复,以确定光谱指数与小麦籽粒产量(GY)之间的关系,比较四种植被指数(VI)的GY预测性能,并进行研究VI用于估计冬季谷物蛋白含量(低蛋白含量)的可行性(低蛋白含量)被用作主要地块处理方法,次生氮的四个氮含量分别为0、120、210和300 kg N ha-1情节治疗。土壤氮素供应的增加显着增加了GY和GPC(P≤0.05)。对于两个品种的组合,在四个VI和GY之间发现显着正相关,当在灌浆中期使用绿色比率植被指数(GRVI)时,观察到最强的相关性。累积VI估计可以显着改善产量预测,最佳间隔即将走向成熟阶段。在VI和谷物蛋白产量之间发现了相似的结果。但是,当使用累积VI时,GPC没有显示出明显的改善。冠层光谱的强可用于预测GPC。估计和观测的GPC之间的强拟合(R2 = 0.7939)表明,遥感技术可能是预测小麦籽粒蛋白质含量和品质的有用指标。

著录项

  • 来源
    《土壤圈(英文版)》 |2007年第5期|646-653|共8页
  • 作者

  • 作者单位

    Key Laboratory of Crop Growth Regulation, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095,China;

    Institute of Soil Sciences, Chinese Academy of Sciences, Nanjing 210008,China;

    Key Laboratory of Crop Growth Regulation, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095,China;

    Institute of Soil Sciences, Chinese Academy of Sciences, Nanjing 210008,China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 农业基础科学;
  • 关键词

    grain protein content, grain yield, soil N supply, vegetation index, wheat;

    机译:籽粒蛋白质含量;籽粒产量;土壤氮素供应;植被指数;小麦;
  • 入库时间 2022-08-19 04:04:16
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