Document Type
Article
Publication Date
9-2025
Keywords
Soil-Nitrogen, Light Interception, N Mineralization, Crop Residue, Seed Yield, Maize, Management, APSIM, Decomposition, Heritability
Abstract
The drive to increase seed yield in soybean [Glycine max (L.) Merr.] has traditionally overshadowed the exploration of biomass partitioning and the compositional characteristics of plant residue traits such as leaves, petioles, stems, and pods. The exploration of biomass partitioning and the compositional characteristics of plant residue traits in soybean provide insights into plant nutrient allocation strategies that can be utilized to increase crop productivity and improve management practices for maximizing yields and sustainability. Recognizing this gap, our study aimed to investigate the variability in these traits across 32 genetically diverse soybean genotypes cultivated over 2 years in central Iowa. Through detailed collection and analysis of vegetative parts at critical growth stages (R1, R4, and R8), we assessed both biomass traits and their chemical compositional characteristics, focusing on soybean residue traits to enhance soil health and their importance in soybean cropping systems. We present broad sense heritability estimates for accumulated (R8) organ biomass (0.61-0.87) and residue carbon nitrogen composition (0.74) in soybeans. The large variation and high heritability suggest breeding strategies to optimize variety development via biomass and residue traits. Utilizing the Agriculture Production Systems sIMulator, we conducted a sensitivity analysis to evaluate the impact of soybean residue quality on soil nutrient cycling and its effects on the subsequent maize [Zea mays L.] crop. The study underscores the importance of soybean residue management, emphasizing the need for integrated approaches in breeding and agricultural practices that utilize the genetic diversity of these traits.
Citation
Raigne, J. G., Higgins, R. H., Elli, E. F., Archontoulis, S. V., Dutta, S., Miguez, F. E., & Singh, A. K. (2025). Genetic variability in biomass partitioning and surface residue carbon-nitrogen ratios in soybean. Crop Science, 65, e70155. https://doi.org/10.1002/csc2.70155
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This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
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