Evaluation of variation in seedling root architectural traits and their potential association with nitrogen fixation and agronomic traits in field pea accessions

Abstract

Abstract Root system architecture (RSA) plays a central role in water and nutrient acquisition in plants. Plasticity and genetic variation in RSA can be used as an adaptive strategy to optimize plant performance under variable environments. We quantified phenotypic variation for seedling RSA among 44 diverse pea ( Pisum sativum L.) genotypes, including breeding lines and germplasm accessions, grown under controlled conditions for 14 days using two‐dimensional hydroponic root imaging. Root image analysis revealed significant genotypic variability among the lines for all root traits, namely root length (RL), root diameter (RD), root volume, root surface area, number of tips, network width (NW), network depth (ND), and network convex area. Significant positive correlations were observed among the evaluated root traits, ranging from 0.5 to 0.9. Pea lines were ranked based on estimated means for root traits, with lines E20, F1, and F8 showing high rankings, while E4 and F5 received low rankings for most traits. To associate root traits with nitrogen (N) fixation and field agronomic performance, we performed redundancy analysis (RDA). The quantified root traits accounted for significant variation in the agronomic traits ( R 2 = ∼30%, p

Plant phenotyping relevance

二次元根画像解析を用いた幼植物の根系形態形質の定量が研究の中心であり、遺伝子型間比較と農業形質との関連解析に用いられているため、画像ベースの表現型解析の実質的応用と判断します。

Code and data availability

The supplied blocks describe the phenotyping methods (2D pouch imaging with PRIDA, ImageJ, WinRHIZO, GiA Roots, R analysis) and results, but contain no data availability statement, no public repository deposit, no author code URL, and no supplement link for the root trait datasets, root images, or analysis scripts. The

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