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Optimizing soil-coring strategies to quantify root-length-density distribution in field-grown maize: virtual coring trials using 3-D root architecture models

机译:优化土壤取芯策略以量化田间种植玉米的根长-密度分布:使用3-D根结构模型的虚拟取芯试验

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摘要

Background and AimsRoot distribution has a major influence on soil exploration and nutrient and water acquisition by plants. Soil coring is a well-known way to estimate root distribution. However, identifying an optimal core-sampling strategy is important if one is to strike the right balance between the high cost of making field estimates of root length density (RLD) vs. the need for accurate estimates. Virtual assessment of competing soil-coring strategies, based on three-dimensional (3-D) models of root system architecture (RSA), is a highly effective way to find that balance.
机译:背景和目的根系分布对土壤勘探以及植物养分和水分的获取有重大影响。土壤取心是估计根分布的一种众所周知的方法。但是,如果要在对根长度密度(RLD)进行田间估计的高成本与准确估计的需求之间取得适当的平衡,则确定最佳的核心采样策略很重要。基于根系统架构(RSA)的三维(3-D)模型,对竞争性土壤取芯策略进行虚拟评估是找到平衡的一种高效方法。

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