Characterization of genetic diversity and identification of genetic loci associated with carbon allocation in N2 fixing soybean

This study provides novel insights into the diversity of biomass allocation in soybean and illustrates that the traits measured here are heritable and quantitative. QTLs identified in this study can be used in genomic prediction models as well as for further investigation of candidate genes and their roles in determining partitioning of fixed C. Enhancing our understanding of C partitioning in plants may lead to elite cultivars with optimized resource use efficiencies.

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Publication Details

Journal
BMC Genomics
Published
2024-12-23
DOI
https://doi.org/10.1186/s12864-024-11153-w
Citations
3
Primary Topic
Legume Nitrogen Fixing Symbiosis
Type
article
Field-Weighted Citation Impact
1.80

Funders

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article

Characterization of genetic diversity and identification of genetic loci associated with carbon allocation in N2 fixing soybean

Muhammad Arifuzzaman, Felix Fritschi, C. Bennet Krueger, Jose R. Costa Netto
3 citations
BMC Genomics
Legume Nitrogen Fixing Symbiosis
1.80
article

Characterization of genetic diversity and identification of genetic loci associated with carbon allocation in N2 fixing soybean

Muhammad Arifuzzaman, Felix Fritschi, C. Bennet Krueger, Jose R. Costa Netto
article en
3 citations

Abstract

This study provides novel insights into the diversity of biomass allocation in soybean and illustrates that the traits measured here are heritable and quantitative. QTLs identified in this study can be used in genomic prediction models as well as for further investigation of candidate genes and their roles in determining partitioning of fixed C. Enhancing our understanding of C partitioning in plants may lead to elite cultivars with optimized resource use efficiencies.

BMC GenomicsVol. 25(1)
University of Missouri (US)
University of Missouri, United Soybean Board, University of Illinois at Urbana-Champaign
Zero hunger
Openalex Percentile: Top 12%
Legume Nitrogen Fixing Symbiosis
1.80
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