ReviewFrontiers in plant science2025
From data to decisions: a paradigm shift in fruit agriculture through the integration of multi-omics, modern phenotyping, and cutting-edge bioinformatic tools.
Review in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Cell-based crop phenotyping for future climates.The New phytologist · 2026Review
- Artificial intelligence-driven advancements in agricultural biotechnology.Journal, genetic engineering & biotechnology · 2026Review
- Skeleton-guided 3D digitization standardizes complex trait phenotyping and supports reproducible locus discovery in cucumber.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Mulberry Drought Diagnosis: Integrating Proximal Sensing and Metabolomics for Remote Monitoring.Plants (Basel, Switzerland) · 2026Article
- Genome-wide SNP analysis uncovers population structure and genetic differentiation in longan (Frontiers in plant science · 2026Article
- LRD-Inst: a lightweight and robust dual-branch framework for instance segmentation of mixed bagged and unbagged apples.Frontiers in plant science · 2026Article
- A systems level framework for postharvest physiology and quality preservation.Frontiers in plant science · 2026Article
- Beyond static snapshots: predicting dynamic, explainable intermediate phenotypes for climate-resilient crop breeding.Frontiers in plant science · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fruit agriculture is undergoing a profound transformation driven by multi-omics, high-throughput phenotyping, and machine learning-driven bioinformatics. However, we demonstrate that this technological revolution has paradoxically created a 'valley of death' where most of genomic discoveries fail to reach farmers' fields. While we can now identify beneficial alleles in days and edit genomes in weeks, it still takes 10 years and 14,5 million euros to deliver a single improved cultivar to European markets - the same timeline as 30 years ago. This review exposes how data abundance has shifted, not eliminated, the fundamental bottlenecks in fruit crop improvement. We critically assess how these tools reshape genetic and metabolic diversity, emphasizing both their transformative promises and structural limitations. We highlight three persistent gaps: the challenge of integrating heterogeneous multi-omics datasets, the phenotyping bottleneck for complex traits, and the tension between innovation and biodiversity conservation. By framing fruit breeding as a "data-to-decisions" challenge, we outline the systemic changes needed for sustainable, resilient, and high-quality fruit production.
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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.