Spectral vegetation indices as nondestructive tools for determining durum wheat yield
Spectral vegetation indices as nondestructive tools for determining durum wheat yield
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DOI：
10.2134/agronj2000.92183x
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发表时间：
2000-01-01
期刊：
影响因子：
2.1
通讯作者：
Royo, C
中科院分区：
文献类型：
--
作者：
Aparicio, N;Villegas, D;Royo, C
遥感测量可能是量化作物发展和产量的有用工具。我们的目的是研究利用光谱反射指数对决定硬粒小麦产量的生理性状提供准确和非破坏性估计的可能性。硬粒(Desf.)Hosn.].在西班牙东北部的降雨和灌溉条件下，种植了25个基因型。测量了不同生长阶段植被的反射率，计算了光谱指数：简单比(SR)、归一化差异植被指数(NDVI)和光化学反射指数(PRI)。测定了作物干物质(CDM)、叶面积指数(LAI)和绿色面积指数(GAI)。灌溉条件下的各项指标和籽粒产量均高于旱作条件。LAI是与光谱反射指数关系最密切的作物生长性状，SR和PRI分别是最好和最差的作物生长和产量指标。在旱作条件下，各生育期的光谱反射指数与叶面积指数和产量呈显著正相关(P<；0.05)。在灌水条件下，相关性仅在灌浆后半期达到显著水平。从抽穗到成熟期NDVI、SR或PRI的整合可以解释旱作条件下品种间产量变异的52%、59%和39%，以及灌溉条件下39、28和26%的解释。我们的结果表明，对于硬粒小麦，SR和NDVI在计算绿色面积和粮食产量方面的作用仅限于LAI值和lt；
Remote sensing measurements may be a useful tool for quantifying crop development and yield. Our objective was to study the potential of using spectral reflectance indices to provide accurate and nondestructive estimates of physiological traits determining yield in durum wheat [Triticum turgidum L. subsp. durum (Desf.) Husn.]. Twenty-five genotypes were grown under rainfed and irrigated conditions in northeastern Spain. Reflectance from the vegetation at different growth stages was measured and the following spectral indices calculated: simple ratio (SR), normalized difference vegetation index (NDVI), and photochemical reflectance index (PRI). Crop dry mass (CDM), leaf area index (LAI), and green area index (GAI) were measured. All the indices and grain yield were greater under irrigated than rainfed conditions. LAI was the crop growth trait that most closely correlated with the spectral reflectance indices, with SR and PRI being the best and the worst indices, respectively, for the assessment of crop growth and yield. In rainfed conditions, the spectral reflectance indices measured at any crop stage were positively correlated (P < 0.05) with LAI and yield. Under irrigation, correlations were only significant during the second half of the grain filling. The integration of either NDVI, SR, or PRI from heading to maturity explained 52, 59, and 39% of the variability in yield within genotypes in rainfed conditions and 39, 28, and 26% under irrigation. Our results suggest that for durum wheat, the usefulness of the SR and NDVI for calculating green area and grain yield is limited to LAI values < 3.