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Updated: Jun 7, 2026

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A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
Published on: August 5, 2020
Integrating molecular and physiological approaches to quantify genetic controls for wheat development and improve
Hamish Brown1, John McCallum1,2, Paul Johnston1
1The New Zealand Institute for Bioeconomy Science, Private Bag 4604, Christchurch, New Zealand.
Journal of Experimental Botany
|June 6, 2026
Summary
Understanding wheat flowering time requires linking genetics, development, and environment. This study reveals how temperature and light influence final leaf number (FLN) by analyzing gene expression, improving crop modeling for better breeding.
Area of Science:
- Plant Biology
- Molecular Genetics
- Agricultural Science
Background:
- Genotype × environment (G×E) interactions critically influence plant development, particularly flowering time.
- Accurate phenotyping is essential for dissecting G×E effects, linking molecular mechanisms to physiological responses.
- Wheat flowering time is a complex trait influenced by multiple genes and environmental cues.
Purpose of the Study:
- To integrate molecular regulation, developmental physiology, and environmental factors to understand wheat flowering time.
- To develop a robust phenotyping protocol for disentangling G×E controls on flowering time.
- To parameterize and validate the Cereal Anthesis Molecular Phenology (CAMP) model using integrated datasets.
Main Methods:
- Time-resolved phenotyping of apical development and final leaf number (FLN) in six wheat genotypes.
- Concurrent gene-expression profiling of key flowering-time genes (VRN1, VRN2, VRN3) under contrasting temperature and photoperiod regimes.
- Integration of experimental data with the CAMP model to compare observed and simulated gene activity.
Main Results:
- Environmentally driven variation in FLN is explained by shifts in apical transitions and VRN gene-expression dynamics.
- The CAMP model captured overall developmental responses but showed discrepancies in gene-expression patterns between foliar and apical tissues.
- Systematic differences highlight the importance of distinguishing expression sites and temporal scaling in gene activity.
Conclusions:
- Integrated phenotyping and modeling provide a framework for understanding G×E interactions in flowering time.
- Distinguishing foliar expression from apical regulatory activity is crucial for accurate modeling.
- A new phenotyping protocol based on FLN responses offers unconfounded developmental phenotypes linked to genetic regulation.
Keywords:
Triticum aestivumVRN genesFlowering timefinal leaf numbergene expressionphenologyphotoperiodvernalisationMore Related Videos
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