ArticleBMC plant biology2016
Genome-wide association mapping of soybean chlorophyll traits based on canopy spectral reflectance and leaf extracts.
Article in BMC plant biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed, 59 citations in OpenAlex.
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- Photosynthesis-informed breeding to enhance Soybean (Glycine max) yield potential: a framework integrating high-throughput phenomics, genomic prediction and G×E×M.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
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- Genetic dissection of maize (Zea mays L.) chlorophyll content using multi-locus genome-wide association studies.BMC genomics · 2023Article
- Genome-Wide Association Study Identified Novel SNPs Associated with Chlorophyll Content in Maize.Genes · 2023Article
- Genetic control of tolerance to drought stress in soybean.BMC plant biology · 2022Article
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- Advanced high-throughput plant phenotyping techniques for genome-wide association studies: A review.Journal of advanced research · 2022Review
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- Microbial-Assisted Wheat Iron Biofortification Using EndophyticFrontiers in nutrition · 2021Article
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- QTL mapping for soybean (Glycine max L.) leaf chlorophyll-content traits in a genotyped RIL population by using RAD-seq based high-density linkage map.BMC genomics · 2020Article
- Genome-Wide Association Analyses Reveal Genomic Regions Controlling Canopy Wilting in Soybean.G3 (Bethesda, Md.) · 2020Article
- Genome-Wide Association Mapping of Dark Green Color Index using a Diverse Panel of Soybean Accessions.Scientific reports · 2020Article
- Genome-Wide Association Mapping for Heat Stress Responsive Traits in Field Pea.International journal of molecular sciences · 2020Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChlorophyll is a major component of chloroplasts and a better understanding of the genetic basis of chlorophyll in soybean [Glycine max (L.) Merr.] might contribute to improving photosynthetic capacity and yield in regions with adverse environmental conditions. A collection of 332 diverse soybean genotypes were grown in 2 years (2009 and 2010) and chlorophyll a (eChl_A), chlorophyll b (eChl_B), and total chlorophyll (eChl_T) content as well as chlorophyll a/b ratio (eChl_R) in leaf tissues were determined by extraction and spectrometric determination. Total chlorophyll was also derived from canopy spectral reflectance measurements using a model of wavelet transformed spectra (tChl_T) as well as with a spectral reflectance index (iChl_T).
resultsA genome-wide associating mapping approach was employed using 31,253 single nucleotide polymorphisms (SNPs) to identify loci associated with the extract based eChl_A, eChl_B, eChl_R and eChl_T measurements and the two canopy spectral reflectance-based methods (tChl_T and iChl_T). A total of 23 (14 loci), 15 (7 loci) and 14 SNPs (10 loci) showed significant association with eChl_A, eChl_B and eChl_R respectively. A total of 52 unique SNPs were significantly associated with total chlorophyll content based on at least one of the three approaches (eChl_T, tChl_T and iChl_T) and likely tagged 27 putative loci for total chlorophyll content, four of which were indicated by all three approaches.
conclusionsResults presented here show that markers for chlorophyll traits can be identified in soybean using both extract-based and canopy spectral reflectance-based phenotypes, and confirm that high-throughput phenotyping-amenable canopy spectral reflectance measurements can be used for association mapping.
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