ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2024
Identification of candidate genes and genomic prediction of soybean fatty acid components in two soybean populations.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- A combination of QTL mapping and genome‑wide association study revealed the key gene for the growth period traits in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- GWAS and genomic prediction for resistance to soybean mosaic virus strain SC7.BMC plant biology · 2026Article
- Genome-wide association mapping and haplotype analysis reveal genetic architecture of seed fatty acid compositions in 1,550 diverse soybean accessions.BMC plant biology · 2025Article
- Integrated QTL mapping and candidate gene analysis for yield-related traits and salt tolerance in a rice RIL population.Frontiers in plant science · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Soybean, a source of plant-derived lipids, contains an array of fatty acids essential for health. A comprehensive understanding of the fatty acid profiles in soybean is crucial for enhancing soybean cultivars and augmenting their qualitative attributes. Here, 180 F
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Identifiers
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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.