Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Genome-wide association studies identifies seven major regions responsible for iron deficiency chlorosis in soybean (Glycine max).

PloS one - 1 Jan 2014

Mamidi Sujan, Lee Rian K, Goos Jay R, McClean Phillip E

Abstract excerpt

Iron deficiency chlorosis (IDC) is a yield limiting problem in soybean (Glycine max (L.) Merr) production regions with calcareous soils. Genome-wide association study (GWAS) was performed using a high density SNP map to discover significant markers, QTL and candidate genes associated with IDC trait variation. A stepwise regression model included eight markers after considering LD between markers, and identified...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Disease Resistance
Share to Epistasis, Genetic
Share to Genes, Plant

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Glycine max

Share to Iron Deficiencies

Share to Linkage Disequilibrium

Share to Molecular Sequence Annotation

Share to Plant Diseases

Source

Open in PubMed Open full text

Identifiers

PMID: 25225893
DOI: 10.1371/journal.pone.0107469
PMCID: PMC4166409

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genome-wide association studies identifies seven major regions responsible for iron deficiency chlorosis in soybean (Glycine max).PMID 25225893Read ↗

Deconstructing the genetic architecture of iron deficiency chlorosis in soybean using genome-wide approaches.Semantic proximity Read ↗

Integrating microarray analysis and the soybean genome to understand the soybeans iron deficiency response.Semantic proximity Read ↗

Transcriptomic analysis of iron deficiency related genes in the legumesSemantic proximity Read ↗

Identification of quantitative trait loci (QTLs) and candidate genes of seed Iron and zinc content in soybean [Glycine max (L.) Merr.].Semantic proximity Read ↗

Identification of candidate genes underlying an iron efficiency quantitative trait locus in soybean.Semantic proximity Read ↗

Microarray analysis of iron deficiency chlorosis in near-isogenic soybean lines.Semantic proximity Read ↗

Population structure analysis and association mapping for iron deficiency chlorosis in worldwide cowpea (Vigna unguiculata (L.) Walp) germplasmSemantic proximity Read ↗

Comparative transcriptome analysis between two different cadmium-accumulating genotypes of soybean (Glycine max) in response to cadmium stress.Semantic proximity Read ↗

Computer vision and machine learning for robust phenotyping in genome-wide studies.Semantic proximity Read ↗

Identification and Mapping of QTLs for Sulfur-Containing Amino Acids in Soybean (Glycine max L.).Semantic proximity Read ↗

Genome-wide association analysis discovered new loci and candidate genes associated with low-phosphorus tolerance based on shoot mineral elements concentrations in soybean.Semantic proximity Read ↗

Genetic architecture of biofortification traits in soybean (Glycine max L. Merr.) revealed through association analysis and linkage mappingSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.