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Article

Predictions of heading date in bread wheat (Triticum aestivum L.) using QTL-based parameters of an ecophysiological model.

Journal of experimental botany - 1 Nov 2014

Bogard Matthieu, Ravel Catherine, Paux Etienne, Bordes Jacques, Balfourier François, Chapman Scott C, Le Gouis Jacques, Allard Vincent

Abstract excerpt

Prediction of wheat phenology facilitates the selection of cultivars with specific adaptations to a particular environment. However, while QTL analysis for heading date can identify major genes controlling phenology, the results are limited to the environments and genotypes tested. Moreover, while ecophysiological models allow accurate predictions in new environments, they may require substantial phenotypic data...

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Identifiers

PMID: 25148833
DOI: 10.1093/jxb/eru328
PMCID: PMC4203124

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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