ArticlePloS one2018
Characterization of a soybean (Glycine max L. Merr.) germplasm collection for root traits.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Identifying Soybean Germplasm with Tolerance to Dehydration and Salinity Stresses.Plants (Basel, Switzerland) · 2026Article
- Drought tolerance in soybean: genetics, metabolomics, remote sensing, and breeding for enhanced drought tolerance.Frontiers in plant science · 2026Review
- Chemical Elements and Thickness of Candida albicans Biofilm Induced by Glucose, Lactose, Protein, and Iron.European journal of dentistry · 2025Article
- Quantification of3 Biotech · 2025Article
- Integration of Genetic and Imaging Data to Detect QTL for Root Traits in Interspecific Soybean Populations.International journal of molecular sciences · 2025Article
- Uncovering plant root traits and mechanisms that enable penetration, exploration, and exploitation of soil parent materials: a systematic review.Plant and soil · 2025Review
- Resilience of soybean genotypes to drought stress during the early vegetative stage.Scientific reports · 2024Article
- Comprehensive analysis of soybean cultivars' response to SMV infection: genotypic association, molecular characterization, and defense gene expressions.Journal, genetic engineering & biotechnology · 2023Article
- Article
- High-Throughput Phenotypic Characterization and Diversity Analysis of Soybean Roots (Plants (Basel, Switzerland) · 2022Article
- Environmental footprints of soybean production in China.Environment, development and sustainability · 2022Article
- Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (Plants (Basel, Switzerland) · 2021Article
- Mapping and validation of a major QTL for primary root length of soybean seedlings grown in hydroponic conditions.BMC genomics · 2021Article
- Probabilistically sampled and spectrally clustered plant species using phenotypic characteristics.PeerJ · 2021Article
- Soil Water Deficit and Fertilizer Placement Effects on Root Biomass Distribution, Soil Water Extraction, Water Use, Yield, and Yield Components of Soybean [Frontiers in plant science · 2021Article
- Article
- Evaluation of soybean [Glycine max (L.) Merr.] genotypes for yield, water use efficiency, and root traits.PloS one · 2019Article
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3 authors.
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Abstract
Root systems that improve resource uptake and penetrate compacted soil (hardpan) are important for improving soybean (Glycine max L. Merr.) productivity in optimal and sub-optimal environments. The objectives of this research were to evaluate a soybean germplasm collection of 49 genotypes for root traits, determine whether root traits are related with plant height, shoot dry weight, chlorophyll index, and seed size, and identify genotypes that can penetrate a hardpan. Plants were maintained under optimal growth conditions in a greenhouse. Single plants were grown in mesocosms, constructed of two stacked columns (top and bottom columns had 25 and 46 cm height, respectively, and 15 cm inside diameter) with a 2-cm thick wax layer (synthetic hardpan; penetration resistance, 1.5 MPa at 30°C) in between. Plants were harvested at 42 days after planting. Significant genetic variability was observed for root traits in the soybean germplasm collection, and genotypes that penetrated the synthetic hardpan were identified. Genotypes NTCPR94-5157, NMS4-1-83, and N09-13128 were ranked high and PI 424007 and R01-581F were ranked low for most root traits. Shoot dry weight and chlorophyll index were positively related with total root length, surface area, and volume, and fine root length (Correlation coefficient, r ≥ 0.60 and P-value < 0.0001 for shoot dry weight and r ≥ 0.37 and P-value < 0.01 for chlorophyll index]. Plant height was negatively correlated with total root surface area, total root volume, and average root diameter (|r| ≥ 0.29, P-value < 0.05). Seed size was not correlated with any root traits. The genetic variability identified in this research for root traits and penetration are critical for soybean improvement programs in choosing genotypes with improved root characteristics to increase yield in stressful or optimum environments.
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