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Simulating the effect of flowering time on maize individual leaf area in contrasting environmental scenarios
- Source :
- Journal of Experimental Botany, Journal of Experimental Botany 71 (2020) 18, Journal of Experimental Botany, 71(18), 5577-5588, Journal of Experimental Botany, Oxford University Press (OUP), 2020, 71 (18), pp.5577-5588. ⟨10.1093/jxb/eraa278⟩, Journal of Experimental Botany, 2020, 71 (18), pp.5577-5588. ⟨10.1093/jxb/eraa278⟩
- Publication Year :
- 2020
- Publisher :
- Oxford University Press, 2020.
-
Abstract
- The quality of yield prediction is linked to that of leaf area. We first analysed the consequences of flowering time and environmental conditions on the area of individual leaves in 127 genotypes presenting contrasting flowering times in fields of Europe, Mexico, and Kenya. Flowering time was the strongest determinant of leaf area. Combined with a detailed field experiment, this experiment showed a large effect of flowering time on the final leaf number and on the distribution of leaf growth rate and growth duration along leaf ranks, in terms of both length and width. Equations with a limited number of genetic parameters predicted the beginning, end, and maximum growth rate (length and width) for each leaf rank. The genotype-specific environmental effects were analysed with datasets in phenotyping platforms that assessed the effects (i) of the amount of intercepted light on leaf width, and (ii) of temperature, evaporative demand, and soil water potential on leaf elongation rate. The resulting model was successfully tested for 31 hybrids in 15 European and Mexican fields. It potentially allows prediction of the vertical distribution of leaf area of a large number of genotypes in contrasting field conditions, based on phenomics and on sensor networks.<br />Flowering time affects all processes governing whole-plant leaf area, namely rates, durations, and sensitivity to environmental conditions. Genotype dependency was assessed via large phenomic datasets in field and controlled conditions.
- Subjects :
- [SDV.SA]Life Sciences [q-bio]/Agricultural sciences
Leaf growth
Light
Whole plant
whole plant
Zea mays
Wiskundige en Statistische Methoden - Biometris
Soil
genetic variability
[SDV.BV]Life Sciences [q-bio]/Vegetal Biology
Mathematical and Statistical Methods - Biometris
[SDV.EE]Life Sciences [q-bio]/Ecology, environment
model
Drought
AcademicSubjects/SCI01210
Temperature
Water
temperature
PE&RC
Research Papers
whole-plant
Europe
Plant Leaves
Plant—Environment Interactions
leaf growth
Genetic variability
light
Model
Subjects
Details
- Language :
- English
- ISSN :
- 14602431 and 00220957
- Volume :
- 71
- Issue :
- 18
- Database :
- OpenAIRE
- Journal :
- Journal of Experimental Botany
- Accession number :
- edsair.pmid.dedup....a6a58ecb8160ae533e476c492bd57765