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Are source and sink strengths genetically linked in maize plants subjected to water deficit? A QTL study of the responses of leaf growth and of Anthesis-Silking Interval to water deficit
Open accessAbstract
Leaf growth and Anthesis-Silking Interval (ASI) are the main determinants of source and sink strengths of maize via their relations with light interception and yield, respectively. They depend on the abilities of leaves and silks to expand under fluctuating environmental conditions, so the possibility is raised that they may have a partly common genetic determinism. This possibility was tested in a mapping population which segregates for ASI. Maximum leaf elongation rate per unit thermal time (parameter a) and the slopes of its responses to evaporative demand and soil water status (parameters b and c) were measured in greenhouse and growth chamber experiments, in two series of 120 recombinant inbred lines (RILs) studied in 2004 and 2005 with 33 RILs in common both years. ASI was measured in three and five fields under well-watered conditions and water deficit, respectively. For each RIL, the maximum elongation rate per unit thermal time was reproducible over several experiments in well-watered plants. It was accounted for by five QTLs, among which three co-localized with QTLs of ASI of well-watered plants. The alleles conferring high leaf elongation rate conferred a low ASI (high silk elongation rate). The responses of leaf elongation rate to evaporative demand and to predawn leaf water potential were linear, allowing each RIL to be characterized by the slopes of these response curves. These slopes had three QTLs in common with ASI of plants under water deficit. The allele for leaf growth maintenance was, in all cases, that for shorter ASI (maintained silk elongation rate). By contrast, other regions influencing ASI had no influence on leaf growth. These results may have profound consequences for modelling the genotype x environment interaction and for designing drought-tolerant ideotypes.
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“In contrast to the complex trait of interest, component physiological traits may be realistically modeled based on a relatively simple genetic architecture, and for such traits, QTL explaining a sizable proportion of genetic variance can be mapped and characterized [71, 93–96].”
From Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation (2015) · cites this paper as [71]
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Self-citationBreeding for high water-use efficiency
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Metadata
- Authors
- Welcker, C., Boussuge, B., Bencivenni, C., Ribaut, J.-M., & Tardieu, F.
- Affiliations
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Centro Internacional de Mejoramiento de Maíz Y Trigo (MX)
- Corresponding author
- Tardieu, F
- ORCID
- Venue
- Journal of Experimental Botany
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-11-06
- Volume
- 58
- Issue
- 2
- Pages
- 339-349
- ISSN
- 0022-0957 (ISSN-L)
- 1460-2431
- OpenAlex
- W2066509652
- Cited by
- 174
- References
- 43
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 3 · 2023: 8 · 2022: 10 · 2021: 5 · 2020: 5 · 2019: 3 · 2018: 10 · 2017: 2 · 2016: 9 · 2015: 18 · 2014: 13 · 2013: 15 · 2012: 8
- FWCI
- 17.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Experimental Botany (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- Institut National de la Recherche Agronomique
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Crop Yield and Soil Fertility
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Genetics and Plant Breeding
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- maize, drought stress, source-sink relationships, leaf elongation rate, anthesis-silking interval, quantitative trait loci, QTL mapping, recombinant inbred lines, evaporative demand, predawn water potential, gene-environment interaction, light interception
- MeSH terms
- Zea mays, Soil, Genetic Variation, Water, Gene Expression Regulation, Plant, Plant Leaves, Flowers, Quantitative Trait Loci
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