苜蓿品种空中净初级生产力模型根据红色植被指数得出

J. Tiedemann
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摘要

本研究旨在通过确定两个苜蓿品种(Medical sativa L.)的辐射利用效率(Ɛ),通过红色植被指数估计NAPP,并将其与量化的NAPP联系起来,来量化和比较两个紫花苜蓿品种的净地上初级生产力(NAPP)。各品种的NAPP差异不显著:G969=1564 g dm m-2和M901=1636 g dm m-1(T=0.92;p>0.05)。量化的NAPP与使用红色植被指数计算的NAPP之间存在显著的直接关系。所获得的模型为:NAPPG969=506.06x–343.25(R2=0.88;p<0.001)和NAPPM901=420.28x+37.82(R2=0.98;p>0.001)。在地方一级确定的所研究苜蓿品种的Ɛ值在生成生产力预测模型时降低了不确定性。苜蓿品种的NAPP可以使用反射RGB数码相机获得的红色植被指数进行无损预测。关键词:辐射利用效率,数码相机,冠层反射率,RGB指数
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Net Aerial Primary Productivity Models for Alfalfa Varieties (Medicago sativa L.) Derived from the Red Vegetation Index
The present study is aimed at quantifying and comparing the net aerial primary productivity (NAPP) of two alfalfa varieties (Medical sativa L.) by determining the Radiation Use Efficiency (Ɛ) for each variety, estimating the NAPP though the Red Vegetation Index and relating it to the quantified NAPP. Significant differences between the individual NAPP of each variety were not found: G969 = 1564 g dm m-2 and M901 = 1636 g dm m-2 (T = 0.92; p>0.05). The Ɛ of the G969 was 0.56 g Mj-1 while that of M901 was 0.58 g Mj-1. Significant direct relationships between the quantified NAPP and that calculated using the Red Vegetation Index were found. The models obtained were: NAPPG969 = 506.06x – 343.25 (R2 = 0.88; p<0.001) and NAPPM901 = 420.28x + 37.82 (R2 = 0.98; p<0.001). The Ɛ values of the alfalfa varieties under study, determined at local level, reduce uncertainty when generating predictive models of productivity. The NAPP of alfalfa varieties can be non-destructively predicted using the Red Vegetation Index obtained by a reflex RGB digital camera. Keywords: radiation use efficiency, digital camera, canopy reflectance, RGB indices
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