ArticleGlobal change biology. Bioenergy2017
Predicting future biomass yield in
Article in Global change biology. Bioenergy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 28 citations in OpenAlex.
- 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
- Microbial and mineral interactions decouple litter quality from soil organic matter formation.Nature communications · 2024Article
- The Metabolic Profile of Young, Watered Chickpea Plants Can Be Used as a Biomarker to Predict Seed Number under Terminal Drought.Plants (Basel, Switzerland) · 2023Article
- Transcriptomic Characterization ofPlants (Basel, Switzerland) · 2022Article
- The metabolomic landscape of rice heterosis highlights pathway biomarkers for predicting complex phenotypes.Plant physiology · 2021Article
- Differential expression of starch and sucrose metabolic genes linked to varying biomass yield in Miscanthus hybrids.Biotechnology for biofuels · 2021Article
- Metabolome-based prediction of yield heterosis contributes to the breeding of elite rice.Life science alliance · 2020Article
- A metabolome-based core hybridisation strategy for the prediction of rice grain weight across environments.Plant biotechnology journal · 2019Article
- Computational aspects underlying genome to phenome analysis in plants.The Plant journal : for cell and molecular biology · 2019Review
- ExtendingFrontiers in plant science · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
In perennial energy crop breeding programmes, it can take several years before a mature yield is reached when potential new varieties can be scored. Modern plant breeding technologies have focussed on molecular markers, but for many crop species, this technology is unavailable. Therefore, prematurity predictors of harvestable yield would accelerate the release of new varieties. Metabolic biomarkers are routinely used in medicine, but they have been largely overlooked as predictive tools in plant science. We aimed to identify biomarkers of productivity in the bioenergy crop,
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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.