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首页> 外文期刊>Journal of Crop Improvement >Use of NDVI for characterizing winter wheat response to water stress in a semi-arid environment
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Use of NDVI for characterizing winter wheat response to water stress in a semi-arid environment

机译:利用NDVI在半干旱环境中对冬小麦反应表征冬小麦反应

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摘要

The normalized difference vegetation index (NDVI) has been widely used to quantify vegetation by measuring the difference between near-infrared (NIR) and red light. Measuring NDVI throughout a growing season helps to evaluate the effect of continuousphenological and morphological changes on grain yield. A 2-year field study was conducted to characterize plant response to water stress in 20 winter wheat {Triticum aestium L.) genotypes during the season based on their NDVI values under the dryland andirrigated conditions. In addition, final biomass and yield were measured at maturity. The 2018 season was extremely dry with only 23 mm of precipitation, whereas 2016 was more favorable for wheat production with 315 mm seasonal precipitation. Except ina severe drought condition (2018, dryland), NDVI values increased from early spring to mid-season (anthesis) and decreased from mid-season to physiological maturity, indicating gradual leaf senescence. There was a significant (P = 0.05) positive correlation between NDVI and grain yield, especially for NDVI values after jointing. However, under the severe drought condition of 2018 (dryland), NDVI often did not show a strong relationship with grain yield. Even genotypes with higher NDVI at early growth stages ended up with lower yield because of the severe water stress at later growth stages. Hence, the use of NDVI is not suggested in screening genotypes for yield under extreme weather conditions.
机译:归一化差异植被指数(NDVI)已被广泛用于通过测量近红外(NIR)和红光之间的差异来量化植被。在整个不断增长的季节测量NDVI有助于评估连续脑病学和形态变化对籽粒产量的影响。进行了2年的田间研究,以表征在季节在滴度下的滴度值和滴度分解条件下的季节冬小麦{triticum oisium L.)基因型的植物反应。此外,在成熟时测量最终生物质和产率。 2018季季节极其干燥,仅为23毫米的降水量,而2016年对小麦产量的季节降水更加有利。除Ina严重干旱条件(2018年,旱地)外,NDVI值从早春到季节(开花)增加,从季节下降到生理成熟,表明渐进的叶片衰老。 NDVI与谷物产量之间存在显着(p = 0.05)阳性相关性,特别是在连接后的NDVI值。然而,在2018年的严重干旱条件下,NDVI往往没有表现出与粮食产量有牢固的关系。甚至在早期生长阶段的具有较高NDVI的基因型甚至由于后续生长阶段的严重水胁迫而最终屈服。因此,在筛选极端天气条件下筛选产量的基因型中没有建议使用NDVI。

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