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Soil mapping for improved phenotyping of drought resistance in lowland rice fields

机译:改良低地稻田抗旱表型的土壤作图

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Phenotyping of drought resistance traits in rice is challenging at the field level due to the spatial variability of soil characteristics linked to soil water content. Apparent soil electrical conductivity (ECa) mapping may therefore be useful for characterizing spatial variability and improving phenotyping efforts in drought screening trials. ECa mapping was conducted over two seasons in lowland rice drought phenotyping trials. ECa was positively correlated with clay content and soil depth, and negatively correlated with volumetric soil water content during periods of moderate to severe drought. In addition, ECa was negatively correlated with indicators of plant performance including canopy temperature, normalized difference vegetation index, biomass, plant height, and grain yield. The results suggest that clay content and topsoil depth were the primary factors influencing the timing and severity of the drought response during the dry down of the field. Overall, the results illustrate the usefulness of ECa mapping for the spatio-temporal characterization of soil heterogeneity that influences plant performance under drought in lowland rice fields. ECa mapping can be useful for optimizing experimental plot layouts to ensure their uniformity and to improve validity of drought phenotyping and breeding trials. (C) 2014 Elsevier B.V. All rights reserved.
机译:由于与土壤含水量相关的土壤特征的空间变异性,在田间水平上水稻抗旱性状的表型具有挑战性。因此,表观土壤电导率(ECa)映射可能有助于表征空间变异性并改善干旱筛选试验的表型工作。在低地水稻干旱表型试验中,在两个季节内进行了ECa定位。在中度至重度干旱时期,ECa与黏土含量和土壤深度呈正相关,与土壤水分含量呈负相关。此外,ECa与植物性能指标(包括冠层温度,归一化差异植被指数,生物量,植物高度和谷物产量)呈负相关。结果表明,黏土含量和表土深度是影响田间干旱期间干旱响应时间和严重程度的主要因素。总的来说,这些结果说明了ECa映射对于土壤异质性的时空特征很有用,土壤异质性会影响旱地稻田在干旱条件下的植物性能。 ECa映射可用于优化试验区布局,以确保其一致性并提高干旱表型和育种试验的有效性。 (C)2014 Elsevier B.V.保留所有权利。

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