NDVI as a Potential Tool for Predicting Biomass, Plant Nitrogen Content and Growth in Wheat Genotypes Subjected to Different Water and Nitrogen Conditions
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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DOI：
10.1556/crc.39.2011.1.15
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发表时间：
2011-03-01
影响因子：
1.6
通讯作者：
Araus, J. L.
中科院分区：
文献类型：
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作者：
Cabrera-Bosquet, L.;Molero, G.;Araus, J. L.
应用光谱辐射指数（例如归一化植被指数（NDVI））来评估绿色生物量或氮（N）含量主要集中在精准农业或育种项目中的植物冠层。然而，人们对这些技术在分离植物中的有用性知之甚少。现有的少数报告建议将光谱辐射计与特殊适配器结合使用，以改善植物信号采集，但这使得测量相对缓慢且不合适。在这里，我们研究了直接使用（即没有适配器）商业成本效益分光辐射计 GreenSeeker (TM)（NTech Industries Ins.，Ukiah，加利福尼亚州，美国），该仪器配有有源传感器（即配备其自己的辐射源），用于测量在一系列水和氮条件下在盆中种植的四种基因型硬粒小麦（Triticum turgidum L. var. durum）的 NDVI。 NDVI 测量值与干地上生物量 (AB)、总绿地面积 (TGA)、无尖峰绿地面积 (GA) 和地上氮含量 (AN) 之间存在很强的相关性。为了证明盆栽条件下测量的 NDVI 的预测能力，利用两种基因型的数据建立了每个生长性状和植物氮含量的线性回归模型。该模型准确预测了生长性状和氮含量，证实了植物总生物量和光谱辐射读数之间的直接关系。
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.