ArticleFrontiers in plant science2024
QTL mapping of almond kernel quality traits in the F
Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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
3 citing papers in PubMed.
- Unlocking almond breeding for nutritional composition with hyperspectral imaging.Plant phenomics (Washington, D.C.) · 2026Article
- Genetic evaluation of flowering, maturity time and productivity in almond (Prunus dulcis): heritability estimates and breeding value predictions.BMC plant biology · 2026Article
- Open RGB imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds.GigaScience · 2026Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Almond breeding is increasingly focusing on kernel quality. However, unlike other agronomic traits, the genetic basis of physical and chemical kernel quality traits has been poorly investigated. To address this gap, we conducted a QTL mapping of these traits to enhance our understanding of their genetic control. We phenotyped fruit samples from an F
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Registered trials
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