ArticleFrontiers in plant science2017
Molecular Mapping of Oil Content and Fatty Acids Using Dense Genetic Maps in Groundnut (
Article in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
38 citing papers in PubMed.
- Mapping and Functional Characterization of Homologous Genes AhSUCA06 and AhSUCA16 Underlying Sucrose, Oil and Protein Contents in Peanut (Arachis hypogaea L.).Plant biotechnology journal · 2026Article
- High resolution mapping of pleiotropic QTLs and candidate genes for seed quality using a whole genome resequencing approach in peanut (Arachis hypogaea L.).BMC plant biology · 2026Article
- A breeding strategy for high-oleic acid content and high-yield peanut using Tag SNPs and genomic selection.BMC plant biology · 2026Article
- Genome wide association study uncovers significant SNPs and candidate genes for kernel grades in groundnut (Arachis hypogaea L.).BMC genomics · 2025Article
- Plant oil biosynthesis and genetic improvement: progress, challenges, and opportunities.Plant physiology · 2025Review
- Integration of BSA-seq and high-resolution mapping reveals genomic regions and candidate genes controlling seed oil accumulation in peanut (Arachis hypogaea L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genome-wide association analysis in peanut accessions uncovers the genetic basis regulating oil and fatty acid variation.BMC plant biology · 2025Article
- Identification of a New Major Oil Content QTL Overlapped withPlants (Basel, Switzerland) · 2025Article
- Genome-wide identification and functional characterization of oleosin genes in peanut (Frontiers in plant science · 2025Article
- Consensus genomic regions and key genes for biotic, abiotic and key nutritional traits identified using meta- QTL analysis in peanut.Frontiers in plant science · 2025Article
- Diallel analysis, maternal effect and heritability in groundnut for yield components and oil content.Heliyon · 2024Article
- Celebrating Professor Rajeev K. Varshney's transformative research odyssey from genomics to the field on his induction as Fellow of the Royal Society.Plant biotechnology journal · 2024Article
- Genome-wide association study and development of molecular markers for yield and quality traits in peanut (Arachis hypogaea L.).BMC plant biology · 2024Article
- Designing future peanut: the power of genomics-assisted breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Review
- Transcriptional engineering for value enhancement of oilseed crops: a forward perspective.Frontiers in genome editing · 2024Review
- Identification of Quantitative Trait Nucleotides and Development of Diagnostic Markers for Nine Fatty Acids in the Peanut.Plants (Basel, Switzerland) · 2023Article
- Global Transcriptome and Co-Expression Network Analyses Revealed Hub Genes Controlling Seed Size/Weight and/or Oil Content in Peanut.Plants (Basel, Switzerland) · 2023Article
- Fatty acid composition and genome-wide associations of a chickpea (Cicer arietinum L.) diversity panel for biofortification efforts.Scientific reports · 2023Article
- Review
- Genetic analysis and exploration of major effect QTLs underlying oil content in peanut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Enhancing seed oil content with desirable fatty acid composition is one of the most important objectives of groundnut breeding programs globally. Genomics-assisted breeding facilitates combining multiple traits faster, however, requires linked markers. In this context, we have developed two different F
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.