Unverified paper record
Image-based assessment of morphological responses and biomass allocation in cowpea seedlings: A methodological approach to drought resilience phenotyping
Research, Society and Development · 17 Oct 2025 · 10.33448/rsd-v14i10.49730
Abstract
Water deficit during the early development of cowpea (Vigna unguiculata (L.) Walp.) can compromise seedling establishment and reduce crop uniformity. This study aimed to evaluate morphological responses and biomass allocation in eight cowpea genotypes, including four commercial cultivars and four landraces, under two water conditions (control and deficit). A randomized block design was applied in a 2 × 8 factorial scheme. Morphological traits of roots and shoots, including length, surface area, volume, and diameter, were measured using image-based analysis. Dry biomass and root-to-shoot ratio were determined through gravimetric methods. Significant genotype-by-environment interactions were observed. Commercial cultivars tended to maintain structural attributes such as stem and root diameter, while landraces, particularly “Marronzinha” and “Verdinha”, exhibited greater plasticity in root morphology and biomass accumulation under water restriction. Although the methodology allowed efficient early phenotyping, limitations such as the short stress duration and use of two-dimensional imaging may restrict broader inferences. Future studies should incorporate extended drought periods, field validation, and physiological assessments to enhance the identification of drought-resilient genotypes.
Plant phenotyping relevance
画像解析による根・シュート形態形質の抽出を中心に、乾燥耐性フェノタイピングへ適用した研究であり、単なる生物学的測定にとどまらない。
titleImage-based assessment of morphological responses and biomass allocation in cowpea seedlings: A methodological approach to drought resilience phenotyping
abstractMorphological traits of roots and shoots, including length, surface area, volume, and diameter, were measured using image-based analysis.
abstractAlthough the methodology allowed efficient early phenotyping, limitations such as the short stress duration and use of two-dimensional imaging may restrict broader inferences.
Code and data availability
The article describes image-based phenotyping (WinRhizo analysis of scanned roots/shoots) and R-based statistics, but no blocks contain a data or code availability statement, public repository deposit, or authors' URL for the phenotype dataset, images, or analysis scripts. Figures are labeled only 'Source: Research数据 (
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