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The Potential of Using Spectral Reflectance Indices to Estimate Yield in Wheat Grown Under Reduced Irrigation

机译:减灌条件下利用光谱反射指数估算小麦产量的潜力

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The objectives of this research were to study the association in bread wheat between spectral reflectance indices (SRIs) and grain yield, estimate their heritability, and correlated response to selection (CR) for grain yield estimated from SRIs under reduced irrigation conditions. Reflectance was measured at three different growth stages (booting, heading and grainfilling) and five SRIs were calculated, namely normalized difference vegetation index (NDVI), simple ratio (SR), water index (WI), normalized water index-1 (NWI-1), and normalized water index-2 (NWI-2). Three field experiments were conducted (each with 30 advanced lines) in three different years. Two reduced irrigation environments were created: (1) one-irrigation level (pre-planting), and (2) two-irrigation level (pre-planting and at booting stage), both representing levels of reduced moisture. Maximum yield levels in the experimental zone were generally obtained with 4–6 irrigations. Genotypic variations for all SRIs were significant. Three NIR (near infrared radiation) based indices (WI, NWI-1, and NWI-2) gave the highest level of association (both phenotypic and genotypic) with grain yield under both reduced irrigation environments. Use of the mean SRI values averaged over growth stages and the progressive integration of SRIs from booting to grainfilling increased the capacity to explain variation among genotypes for yield under these reduced irrigation conditions. A higher level of broad-sense heritability was found with the two-irrigation environment (0.80) than with the one-irrigation environment (0.63). Overall, 50% to 75% of the 12.5% highest yielding genotypes, and 50% to 87% of the 25% highest yielding genotypes were selected when the NWI-2 index was applied as an indirect selection tool. Strong genetic correlations, moderate to high heritability, a correlated response for grain yield close to direct selection for grain yield, and a very high efficiency of selecting superior genotypes indicate the potential of using these three SRIs in breeding programs for selecting increased genetic gains in grain yield under reduced irrigation conditions.
机译:这项研究的目的是研究面包小麦在光谱反射率指数(SRI)和谷物产量之间的关联,估算其遗传力,以及在减少灌溉条件下根据SRI估算的谷物产量对选择(CR)的相关响应。在三个不同的生长阶段(启动,抽穗和灌浆)测量了反射率,并计算了五个SRI,即归一化植被指数(NDVI),简单比率(SR),水分指数(WI),归一化水指数1(NWI- 1)和归一化水指数2(NWI-2)。在三年中进行了三个现场实验(每个实验有30条先进的生产线)。创建了两个减少灌溉的环境:(1)一灌溉水平(种植前)和(2)两灌溉水平(种植前和孕穗期),均代表减少的水分含量。通常通过4-6次灌溉获得试验区的最大产量。所有SRI的基因型差异都很大。在两个减少的灌溉环境下,基于NIR(近红外辐射)的三个指数(WI,NWI-1和NWI-2)与谷物产量的关联度最高(表型和基因型)。使用平均SRI值在整个生长阶段的平均值,以及SRI从启动到灌浆的逐步整合,提高了在减少灌溉条件下解释基因型之间产量差异的能力。与单灌环境(0.63)相比,两灌环境(0.80)的广义遗传性更高。总体而言,当将NWI-2指标用作间接选择工具时,选择了最高产量的12.5%基因型的50%至75%,最高产量的25%基因型的50%至87%。强大的遗传相关性,中等至高的遗传力,接近于直接选择谷物产量的谷物产量相关响应以及非常高的选择优良基因型的效率,表明在育种程序中使用这三种SRI来选择谷物中增加的遗传增益的潜力减少灌溉条件下的产量。

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