ArticlePlant biotechnology journal2019
A metabolome-based core hybridisation strategy for the prediction of rice grain weight across environments.
Article in Plant biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Machine learning-based prediction of dynamic heterosis for plant height with pathway biomarkers in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Additive and Partially Dominant Effects from Genomic Variation Contribute to Rice Heterosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Exploiting predictive metabolomics of pearl millet phenotypic traits using untargeted profiling across a Brazilian germplasm panel.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Article
- Quantitative Insights into the Genetic Mechanisms of Crop Heterosis.Advanced genetics (Hoboken, N.J.) · 2025Review
- Cellulose synthase-like OsCSLD4: a key regulator of agronomic traits, disease resistance, and metabolic indices in rice.Plant cell reports · 2024Article
- Induced Resistance Combined with RNA Interference Attenuates the Counteradaptation of the Western Flower Thrips.International journal of molecular sciences · 2022Article
- Leveraging a graft collection to develop metabolome-based trait prediction for the selection of tomato rootstocks with enhanced salt tolerance.Horticulture research · 2022Article
- The metabolomic landscape of rice heterosis highlights pathway biomarkers for predicting complex phenotypes.Plant physiology · 2021Article
- Multi-omics-based prediction of hybrid performance in canola.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- A simplified method to isolate rice mitochondria.Plant methods · 2020Article
- Metabolome-based prediction of yield heterosis contributes to the breeding of elite rice.Life science alliance · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Marker-based prediction holds great promise for improving current plant and animal breeding efficiencies. However, the predictabilities of complex traits are always severely affected by negative factors, including distant relatedness, environmental discrepancies, unknown population structures, and indeterminate numbers of predictive variables. In this study, we utilised two independent 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.