首页> 外文期刊>Turkish Journal of Agriculture & Forestry >Spectral reflectance indices as a rapid and nondestructive phenotyping tool for estimating different morphophysiological traits of contrasting spring wheat germplasms under arid conditions
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Spectral reflectance indices as a rapid and nondestructive phenotyping tool for estimating different morphophysiological traits of contrasting spring wheat germplasms under arid conditions

机译:光谱反射指数作为一种快速,无损的表型分析工具,用于估算干旱条件下对比春小麦种质的不同形态生理特性

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The aim of this study was to investigate whether spectral reflectance indices could be used to estimate different destructive morphophysiological traits of a wide and diverse range of spring wheat germplasm in a rapid and nondestructive manner. A total of 90 spring wheat germoplasms were evaluated under water shortage by applying only three irrigations during the growing cycle of germplasm with the amount of water totaling 2550 m(3) ha(-1). Ten selected spectral reflectance indices were related to the green leaf number per plant, green leaf area per plant, total dry weight per plant (TDW), grain yield per hectare (GY), leaf water content (LWC), leaf area index (LAI), and canopy temperature (CT). Significant genotypic variability was shown for all morphophysiological traits and the ten selected spectral reflectance indices. The broad-sense heritability of the normalized water index (NWI)-3, NWI-4, water band index (WBI), and normalized difference vegetation index (NDVI) was high to medium as reflected in the morphophysiological traits, while for other spectral reflectance indices it was low. The indices NWI-3 and NWI-4 proved to be better predictors for LWC, GY, and LAI than NWI-1 and NWI-2. Spectral indices based on combine visible and near-infrared wavelengths such as the NDVI, the ratio of WBI/NDVI, and the R-940/R-960/NDVI were viable options to estimate TDW, GY, and LAI, whereas the WBI and R1(000)/R-1100 had the best fit to LWC. The R-940/R-960 index failed to capture the genotypic variability in any morphophysiological traits. The LAI was more correlated to and had more direct effects on all agronomic traits than CT. The overall results indicated that it is indeed possible to apply spectral reflectance tools in wheat breeding programs to estimate the destructive morphophysiological traits and assess genotypic variability of a large number of germplasms in a rapid and nondestructive manner.
机译:这项研究的目的是研究光谱反射率指数是否可以用于以快速和非破坏性的方式估计广泛多样的春小麦种质的不同破坏性形态生理特征。总共90个春小麦种质在缺水条件下进行了评估,在种质生长周期中仅进行了3次灌溉,灌溉用水总量为2550 m(3)ha(-1)。选择的十种光谱反射指数与每株植物的绿叶数量,每株植物的绿叶面积,每株植物的总干重(TDW),每公顷谷物产量(GY),叶含水量(LWC),叶面积指数(LAI)相关)和顶篷温度(CT)。显着的所有形态生理特征和十个选定的光谱反射指数的基因型变异性。形态生理特征反映了归一化水指数(NWI)-3,NWI-4,水带指数(WBI)和归一化差异植被指数(NDVI)的广义遗传力,从高到中等反射率指数很低。事实证明,与NWI-1和NWI-2相比,指数NWI-3和NWI-4可以更好地预测LWC,GY和LAI。基于可见光和近红外波长(例如NDVI,WBI / NDVI的比率以及R-940 / R-960 / NDVI的组合)的光谱指数是估算TDW,GY和LAI的可行选择,而WBI和R1(000)/ R-1100最适合LWC。 R-940 / R-960指数未能捕获任何形态生理学特征的基因型变异性。与CT相比,LAI与所有农艺性状的相关性更高,并且对它们的直接影响更大。总体结果表明,确实有可能在小麦育种计划中应用光谱反射仪,以快速,无损的方式估算破坏性形态生理特征并评估大量种质的基因型变异性。

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