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Using ground-based reflectance measurements as selection criteria for drought- and aflatoxin-resistant peanut genotypes.

机译:使用基于地面的反射率测量作为抗旱和抗黄曲霉毒素花生基因型的选择标准。

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Drought stress and aflatoxin contamination continue to challenge peanut (Arachis hypogaea L.) producers across the USA. Thus, the continued development of drought- and aflatoxin-resistant peanut cultivars is essential to maintain productivity under less than ideal growing conditions. Remote sensing of canopy reflectance is a well-established method of evaluating crop condition and shows promise as a tool for rapid selection of drought- and aflatoxin-resistant peanut genotypes. The objective of this study was to evaluate ground-based reflectance measurements to more accurately quantify differences in genotype response to drought conditions. In April 2004 and 2005 several small plots (4 m x 2 m) were established at the Gibbs Farm research facilities in Tifton, GA. Treatments consisted of five peanut genotypes encompassing a range of drought tolerance and yield characteristics. Drought conditions were simulated beginning 90 d after planting and maintained through harvest. Once drought conditions were established, a handheld radiometer was used to acquire twice-weekly reflectance measurements in the visible and near-infrared. Benchmark indices were developed based on the change in remotely sensed vegetation indices as a measure of the change in crop response between nonstressed and drought-stressed conditions. Significant treatment differences in benchmark indices were observed between drought-tolerant, moderately drought-tolerant and drought-intolerant varieties. Benchmark indices were also highly correlated with yield (r=-0.41 to -0.75, alpha =0.05) in all three planting environments. However, the relationship between aflatoxin contamination and benchmark indices was less consistent, having a strong correlation with aflatoxin contamination in the second and third planting environments only (r=0.38-0.73, alpha =0.05). These indices could aid plant breeders in more accurately assessing genetic differences, which would accelerate breeding progress and the development of peanut cultivars with resistance to drought and aflatoxin contamination..
机译:干旱胁迫和黄曲霉毒素污染继续挑战全美国的花生(Arachis hypogaea L.)生产者。因此,对干旱和抗黄曲霉毒素的花生品种的持续开发对于在低于理想生长条件下维持生产力至关重要。冠层反射率的遥感是评估作物状况的一种行之有效的方法,它有望作为一种快速选择抗旱和抗黄曲霉毒素的花生基因型的工具。这项研究的目的是评估基于地面的反射率测量,以更准确地量化基因型对干旱条件的响应差异。在2004年4月和2005年4月,在佐治亚州蒂夫顿的吉布斯农场研究设施中建立了几个小地块(4 m x 2 m)。处理包括五种花生基因型,涵盖了一系列的耐旱性和产量特征。播种后90天开始模拟干旱条件,并一直持续到收获。确定干旱条件后,将使用手持式辐射计每周两次获取可见光和近红外光的反射率测量值。基准指数是根据遥感植被指数的变化制定的,以衡量无胁迫和干旱胁迫条件下作物响应的变化。在耐旱,中度耐旱和耐旱品种之间观察到基准指数的显着差异。在所有三种种植环境中,基准指数也与产量高度相关(r = -0.41至-0.75,α= 0.05)。然而,黄曲霉毒素污染与基准指数之间的关系不太一致,仅在第二和第三种植环境中与黄曲霉毒素污染有很强的相关性(r = 0.38-0.73,α= 0.05)。这些指数可以帮助植物育种者更准确地评估遗传差异,这将加快育种进程并发展出具有抗干旱和黄曲霉毒素污染能力的花生品种。

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