ArticleJournal of experimental botany2016
Stay-green traits to improve wheat adaptation in well-watered and water-limited environments.
Article in Journal of experimental botany, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 1 of them a synthesis that pooled it.
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Who cites it
79 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Development and research trends of stay-green biology in legumes: a bibliometric and visual analysis over three decades.Frontiers in genetics · 2026Pooled it
- Engineering Wheat for Compound Climate Extremes: Molecular Trade-Offs, Stress Memory, and Precision Genome Editing for Yield-Stable Resilience.Plants (Basel, Switzerland) · 2026Review
- Improving wheat tolerance to post-flowering heat using matched development stages and field-based reaction norms.Journal of experimental botany · 2026Article
- Stay-Green and Beyond: Integrating Physiology and Genomics to Unlock Heat-Drought Tolerance in Wheat.Plant, cell & environment · 2026Article
- Genomic and Physiological Insights Into Heat-Drought Tolerance in Wheat Through GWAS and Phenotypic Evaluation.Plant, cell & environment · 2026Article
- Variability in crop responses as a function of environment affects the NDVI relationship with grain yield in wheat.Plant phenomics (Washington, D.C.) · 2026Article
- Modern elite winter wheat cultivars use two physiological pathways to achieve yield stability.Journal of experimental botany · 2026Article
- Plasticity of source-sink dynamics contributes to wheat yield stability.Nature communications · 2026Article
- Multi-sensor phenotyping of yield and yield stability for genotype selection in durum wheat.Plant phenomics (Washington, D.C.) · 2026Article
- A conceptual framework for simultaneous optimization of integrated climate scenario data and phenology models.Agronomy for sustainable development · 2026Article
- From Light Harvesting to Grain Filling: Chlorophyll Fluorescence, Pigment Composition, and Oxidative Status as Discrete Yield Determinants in Rye.Plants (Basel, Switzerland) · 2025Article
- Phenotyping the hidden half: combining UAV phenotyping and machine learning to predict barley root traits in the field.Journal of experimental botany · 2025Article
- A circadian transcriptional subnetwork and EARLY FLOWERING 3 control timing of senescence and grain nutrition in bread wheat.The New phytologist · 2025Article
- UAV-based multispectral image analysis revealed stay-green haplotypes in wheat specific for different soil nitrogen levels.BMC plant biology · 2025Article
- Multi-Scale Remote-Sensing Phenomics Integrated with Multi-Omics: Advances in Crop Drought-Heat Stress Tolerance Mechanisms and Perspectives for Climate-Smart Agriculture.Plants (Basel, Switzerland) · 2025Review
- Linking key genes to the stay-green phenotype for climate-smart Triticum aestivum L.BMC plant biology · 2025Article
- Overcoming physiological trade-offs between flowering time and crop yield: strategies for a changing climate.Journal of experimental botany · 2025Review
- Mapping of a Quantitative Trait Locus for Stay-Green Trait in Common Wheat.Plants (Basel, Switzerland) · 2025Article
- Temporal resolution trumps spectral resolution in UAV-based monitoring of cereal senescence dynamics.Plant methods · 2024Article
- Identifying the physiological traits associated with DNA marker using genome wide association in wheat under heat stress.Scientific reports · 2024Article
19 more citing papers are in PubMed but not listed here.
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5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A stay-green phenotype enables crops to retain green leaves longer after anthesis compared with senescent types, potentially improving yield. Measuring the normalized difference vegetative index (NDVI) during the whole senescence period allows quantification of component stay-green traits contributing to a stay-green phenotype. These objective and standardized traits can be compared across genotypes and environments. Traits examined include maximum NDVI near anthesis (Nmax), senescence rate (SR), a trait integrating senescence (SGint), plus time from anthesis to onset (OnS), mid-point (MidS), and near completion (EndS) of senescence. The correlation between stay-green traits and yield was studied in eight contrasting environments ranging from well watered to severely water limited. Environments were each classified into one of the four major drought environment types (ETs) previously identified for the Australian wheat cropping system. SGint, OnS, and MidS tended to have higher values in higher yielding environments for a given genotype, as well as for higher yielding genotypes within a given environment. Correlation between specific stay-green traits and yield varied with ET. In the studied population, SGint, OnS, and MidS strongly correlated with yield in three of the four ETs which included well-watered environments (0.43-0.86), but less so in environments with only moderate water-stress after anthesis (-0.03 to 0.31). In contrast, Nmax was most highly correlated with yield under moderate post-anthesis water stress (0.31-0.43). Selection for particular stay-green traits, combinations of traits, and/or molecular markers associated with the traits could enhance genetic progress toward stay-green wheats with higher, more stable yield in both well-watered and water-limited conditions.
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