ReviewThe Plant journal : for cell and molecular biology2019
Converging phenomics and genomics to study natural variation in plant photosynthetic efficiency.
Review in The Plant journal : for cell and molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
- Photosynthesis-informed breeding to enhance Soybean (Glycine max) yield potential: a framework integrating high-throughput phenomics, genomic prediction and G×E×M.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- The potential of considering photosynthesis parameters in crop yield breeding by genomic prediction.Journal of experimental botany · 2026Article
- Exploring wild rices for photosynthetic efficiency improvement in rice.Physiology and molecular biology of plants : an international journal of functional plant biology · 2026Article
- High-Throughput Screen of NPQ in Sorghum Shows Highly Polygenic Architecture of Photoprotection.Plant-environment interactions (Hoboken, N.J.) · 2026Article
- Advancements in photosynthetic efficiency: Pathways, regulation, and biotechnological applications for enhancing crop productivity.Plant signaling & behavior · 2025Review
- Quantitative genetics of photosynthetic trait variation in maize.Journal of experimental botany · 2025Article
- Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Perspectives on improving photosynthesis to increase crop yield.The Plant cell · 2024Review
- Chlorophyll Fluorescence in Wheat Breeding for Heat and Drought Tolerance.Plants (Basel, Switzerland) · 2024Review
- Exploring natural genetic variation in photosynthesis-related traits of barley in the field.Journal of experimental botany · 2024Article
- Genome-wide association study of leaf photosynthesis using a high-throughput gas exchange system in rice.Photosynthesis research · 2024Article
- Plant Physiological Analysis to Overcome Limitations to Plant Phenotyping.Plants (Basel, Switzerland) · 2023Review
- Multi-Omics Pipeline and Omics-Integration Approach to Decipher Plant's Abiotic Stress Tolerance Responses.Genes · 2023Review
- Long-Term Alleviation of the Functional Phenotype in Chlorophyll-Deficient Wheat and Impact on Productivity: A Semi-Field Phenotyping Experiment.Plants (Basel, Switzerland) · 2023Article
- PhytoOracle: Scalable, modular phenomics data processing pipelines.Frontiers in plant science · 2023Article
- LncRNA evolution and DNA methylation variation participate in photosynthesis pathways of distinct lineages ofForestry research · 2023Article
- The genome sequence of Hirschfeldia incana, a new Brassicaceae model to improve photosynthetic light-use efficiency.The Plant journal : for cell and molecular biology · 2022Article
- Article
- Using breeding and quantitative genetics to understand the C4 pathway.Journal of experimental botany · 2022Article
- Genetics as a key to improving crop photosynthesis.Journal of experimental botany · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years developments in plant phenomic approaches and facilities have gradually caught up with genomic approaches. An opportunity lies ahead to dissect complex, quantitative traits when both genotype and phenotype can be assessed at a high level of detail. This is especially true for the study of natural variation in photosynthetic efficiency, for which forward genetics studies have yielded only a little progress in our understanding of the genetic layout of the trait. High-throughput phenotyping, primarily from chlorophyll fluorescence imaging, should help to dissect the genetics of photosynthesis at the different levels of both plant physiology and development. Specific emphasis should be directed towards understanding the acclimation of the photosynthetic machinery in fluctuating environments, which may be crucial for the identification of genetic variation for relevant traits in food crops. Facilities should preferably be designed to accommodate phenotyping of photosynthesis-related traits in such environments. The use of forward genetics to study the genetic architecture of photosynthesis is likely to lead to the discovery of novel traits and/or genes that may be targeted in breeding or bio-engineering approaches to improve crop photosynthetic efficiency. In the near future, big data approaches will play a pivotal role in data processing and streamlining the phenotype-to-gene identification pipeline.
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