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首页> 外文期刊>Cereal Research Communications >NDVI as a Potential Tool for Predicting Biomass, Plant Nitrogen Content and Growth in Wheat Genotypes Subjected to Different Water and Nitrogen Conditions
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NDVI as a Potential Tool for Predicting Biomass, Plant Nitrogen Content and Growth in Wheat Genotypes Subjected to Different Water and Nitrogen Conditions

机译:NDVI作为预测不同水和氮条件下小麦基因型生物量,植物氮含量和生长的潜在工具

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摘要

The application of spectroradiometric index such as the normalized difference vegetation index (NDVI) to assess green biomass or nitrogen (N) content has focused on the plant canopy in precision agriculture or breeding programs. However, little is known about the usefulness of these techniques in isolated plants. The few reports available propose the use of a spectroradiometer in combination with special adaptors that improve signal acquisition from plants, but this makes measurements relatively slow and unsuitable. Here we studied the direct use (i.e. without adaptors) of a commercial cost-effective spectroradiometer, GreenSeeker (TM) (NTech Industries Ins., Ukiah, California, USA) provided with an active sensor (i.e. equipped with its own source of radiation) for measuring NDVI in four genotypes of durum wheat (Triticum turgidum L. var. durum) grown in pots under a range of water and N regimes. Strong correlations were observed between NDVI measurements and dry aboveground biomass (AB), total green area (TGA), green area without spikes (GA) and aboveground N content (AN). To prove the predictive ability of NDVI measured under potted conditions, linear regression models for each growth trait and for plant N content were built with the data of two genotypes. The models accurately predicted growth traits and N content, confirming the direct relationship between total plant biomass and spectroradiometric readings.
机译:光谱辐射指数(例如归一化植被指数(NDVI))用于评估绿色生物量或氮(N)含量的应用已集中在精确农业或育种计划中的植物冠层上。然而,人们对这些技术在分离植物中的实用性知之甚少。现有的少数报告建议将光谱辐射仪与特殊适配器配合使用,以改善从植物中获取信号的能力,但这会使测量相对缓慢且不合适。在这里,我们研究了具有成本效益的商业化光谱辐射仪GreenSeeker(TM)(美国加利福尼亚州尤基亚市的NTech Industries Ins。)配备有源传感器(即配备了自己的辐射源)的直接使用(即没有适配器)。用于测量在一系列水和氮制度下种植于盆中的四种基因型硬质小麦(Triticum turgidum L. var。durum)的NDVI。在NDVI测量值与干地上生物量(AB),总绿地(TGA),无尖峰绿地(GA)和地上N含量(AN)之间观察到强烈的相关性。为了证明在盆栽条件下测得的NDVI的预测能力,利用两种基因型的数据建立了每种生长性状和植物N含量的线性回归模型。该模型准确地预测了生长性状和氮含量,证实了植物总生物量与光谱辐射读数之间的直接关系。

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