Department of Mathematics, Aberystwyth University, Penglais, Aberystwyth, Ceredigion, SY23 3BZ.
Centre for Plant Integrative Biology, School of Biosciences, Sutton Bonington Campus, University of Nottingham, LE12 5RD, UK.
J Exp Bot. 2017 Oct 13;68(17):4969-4981. doi: 10.1093/jxb/erx300.
Root architecture impacts water and nutrient uptake efficiency. Identifying exactly which root architectural properties influence these agronomic traits can prove challenging. In this paper, approximately 300 wheat (Triticum aestivum) plants were divided into four groups using two binary classifications, high versus low nitrogen uptake efficiency (NUpE), and high versus low nitrate in the growth medium. The root system architecture for each wheat plant was captured using 16 quantitative variables. The multivariate analysis tool, linear discriminant analysis, was used to construct composite variables, each a linear combination of the original variables, such that the score of the plants on the new variables showed the maximum between-group variability. The results show that the distribution of root-system architecture traits differs between low- and high-NUpE plants and, less strongly, between low-NUpE plants grown on low versus high nitrate media.
根系结构会影响水分和养分的吸收效率。确定哪些根系结构特性会影响这些农艺性状可能具有挑战性。在本文中,使用两种二分法将大约 300 株小麦(Triticum aestivum)分为四组,分别是高氮吸收效率(NUpE)与低氮吸收效率和高硝酸盐与低硝酸盐的生长介质。使用 16 个定量变量来捕获每个小麦植株的根系结构。使用多元分析工具——线性判别分析,构建组合变量,每个变量都是原始变量的线性组合,使得新变量上的植物得分表现出最大的组间变异性。结果表明,低氮吸收效率和高氮吸收效率的小麦植株之间,以及低氮吸收效率的小麦植株在低硝酸盐和高硝酸盐介质中生长时,根系结构特性的分布存在差异。