Assessment of durum wheat yield using visible and near-infrared reflectance spectra of canopies
Assessment of durum wheat yield using visible and near-infrared reflectance spectra of canopies
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DOI：
10.1016/j.fcr.2004.12.002
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发表时间：
2005-11-15
影响因子：
5.8
通讯作者：
Royo, C
中科院分区：
文献类型：
--
作者：
Ferrio, JP;Villegas, D;Royo, C
收获前的谷物产量估计可以是一个非常有用的工具，育种计划和生产力预测。冠层反射率指数已被用于产量估计，但成功有限。本研究旨在探讨冠层可见光和近红外反射光谱在一组硬粒小麦基因型产量估测中的适用性。在低、中、高生产力环境下进行了5个田间试验，每个试验包括25个基因型，平均产量为2.5、4.5和7 t/ha。在开花期和乳粒期进行了400和1000 nm之间的光谱反射率测量。偏最小二乘回归（PLSR）被用于构建模型，通过预测和观察到的谷物产量的基因型平均值之间的简单回归进行测试。经验模型估计粮食产量一般表现出更强大，更强大的粮食产量比以前测定的光谱指数的评估。对于最好的模型，预测和实测产量的基因型平均值之间的相关系数在每五个环境范围从0.53到0.76。我们的结论是，虽然模型没有提供一个准确的定量粮食产量，他们仍然可以用来排名基因型育种目的。最可靠的排名基因型获得在乳粒阶段的测量中，高生产力的环境。(c)2004 Elsevier B. V.保留所有权利。
The estimation of grain yield before harvesting could be a very useful tool for breeding programs and productivity forecasting. Canopy reflectance indices have been used for yield estimation, but with limited success. This work was carried out to study the suitability of the visible and near-infrared reflectance spectrum of the canopy for the assessment of grain yield in a set of durunt wheat genotypes. Five field experiments, each one including 25 genotypes, were conducted in low, medium and high productivity environments, with average yields of 2.5, 4.5 and 7 t/ha. Spectral reflectance measurements between 400 and 1000 nm were made at anthesis and milk-grain stages. Partial least squares regression (PLSR) was used in the construction of models that were tested by simple regression between genotype means of predicted and observed grain yields. The empirical models for the estimation of grain yield showed generally stronger and more robust assessment of grain yield than previously assayed spectral indices. For the best model, correlation coefficients between genotype means of predicted and measured yield within each of the five environments ranged from 0.53 to 0.76. We concluded that, although the models did not provide an accurate quantification of grain yield, they could still be used to rank genotypes for breeding purposes. The most reliable ranking of genotypes was attained using measurements made at milk-grain stage on medium to high productivity environments. (c) 2004 Elsevier B.V. All rights reserved.