ArticleHorticulture research2020
Genomic prediction of fruit texture and training population optimization towards the application of genomic selection in apple.
Article in Horticulture research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed, 69 citations in OpenAlex.
- Harnessing genomic resources for passion fruit improvement: Progress and prospects.The plant genome · 2026Review
- Integrative genomics for mango genetics and breeding.Horticulture research · 2026Article
- Leveraging genetic resources and genomic prediction to enhance flavonol content in cranberry fruit.The plant genome · 2025Article
- Diversity of cereal rye (Secale cereale) germplasm in the Southeast United States.The plant genome · 2025Article
- Genomic prediction in Persian walnut: Optimization levers according to genetic architecture of complex traits.The plant genome · 2025Article
- Within-family genomic selection in strawberry: Optimization of marker density, trial design, and training set composition.The plant genome · 2025Article
- Increased genomic predictive ability in mango using GWAS-preselected variants and fixed-effect SNPs.Frontiers in plant science · 2025Article
- Natural variation in MdNAC5 contributes to fruit firmness and ripening divergence in apple.Horticulture research · 2025Article
- Hybrid Prediction in Horticulture Crop Breeding: Progress and Challenges.Plants (Basel, Switzerland) · 2024Review
- Inference of the genetic basis of fruit texture in highbush blueberries using genome-wide association analyses.Horticulture research · 2024Article
- Whole-genome resequencing identifies candidate genes and allelic variation in the MdNADP-ME promoter that regulate fruit malate and fructose contents in apple.Plant communications · 2024Article
- Genomic selection for crop improvement in fruits and vegetables: a systematic scoping review.Molecular breeding : new strategies in plant improvement · 2024Article
- Review of applications of artificial intelligence (AI) methods in crop research.Journal of applied genetics · 2024Review
- Mapping QTLs for blight resistance and morpho-phenological traits in inter-species hybrid families of chestnut (Frontiers in plant science · 2024Article
- Training set optimization is a feasible alternative for perennial orphan crop domestication and germplasm management: anFrontiers in plant science · 2024Article
- Genetic architecture and genomic prediction of plant height-related traits in chrysanthemum.Horticulture research · 2024Article
- Genomewide selection for fruit quality traits in apple: breeding insights gained from prediction and postdiction.Horticulture research · 2023Article
- Boosting grapevine breeding for climate-smart viticulture: from genetic resources to predictive genomics.Frontiers in plant science · 2023Review
- A genome-wide association and prediction study in grapevine deciphers the genetic architecture of multiple traits and identifies genes under many new QTLs.G3 (Bethesda, Md.) · 2022Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Texture is a complex trait and a major component of fruit quality in apple. While the major effect of
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What OpenQuestion holds
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.