期刊
EUROPEAN JOURNAL OF AGRONOMY
卷 101, 期 -, 页码 90-100出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.eja.2018.08.010
关键词
Winter wheat; Photosynthetic nitrogen use efficiency; Hyperspectral remote sensing; Estimation model
类别
资金
- National Natural Science Foundation of China [31671624]
- Program of Science & Technology Innovation Talents in Universities of Henan Province, China [17HASTIT036]
- Thirteenth Five-year Plan of National Key Research Project of China [2016YFD0300604, 2016YFD0300105]
Non-destructive and rapid methods for estimating nitrogen efficiency are helpful in quantifying and communicating the N use efficiency (NUE) in agricultural production. To accurately evaluate NUE, we analysed the quantitative relationship between leaf photosynthetic nitrogen use efficiency (PNUE) and wheat NUE, and investigated the quantitative relationship between PNUE and hyperspectral indices in winter wheat. Our field experiments were carried out during 2013-2016 across different growth stages, cultivars, planting densities, nitrogen (N) rates, and water treatments, and a nitrogen efficiency index (NEI) was developed to evaluate PNUE. Three of eight previously developed vegetation indices (VIs) performed well when regressed against PNUE; however, they exhibited bias between vegetative and reproductive stages. The NEI was obtained by integrating the reflectance at the red band (680 nm) into simple ratio index (SR (760,850)), to become a modified simple ratio index (mSR (760,850,680)), then we added a floating coefficient [1.8 + (R-680/R-850)] to mSR (760,850,680). Our novel index was better related with PNUE than previous VIs under different experimental conditions. There was no significant difference in the slope and intercept under the five experimental factors, suggesting that the new index is a superior tracker for PNUE changes under heterogeneous field conditions. These models accurately estimated PNUE in winter wheat, providing a theoretical basis and technical support for N fertilizer assessment and screening of N efficient wheat varieties.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据