Predictions of heading date in bread wheat (Triticum aestivum L.) using QTL-based parameters of an ecophysiological model.
about
Crop epigenetics and the molecular hardware of genotype × environment interactionsPhenotypic and genetic dissection of component traits for early vigour in rice using plant growth modelling, sugar content analyses and association mappingIntegrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation.Velocity of temperature and flowering time in wheat - assisting breeders to keep pace with climate change.Assessment of the Potential Impacts of Wheat Plant Traits across Environments by Combining Crop Modeling and Global Sensitivity Analysis.Improvement of Predictive Ability by Uniform Coverage of the Target Genetic Space.Genetic Architecture of Flowering Phenology in Cereals and Opportunities for Crop Improvement.Optimization of multi-environment trials for genomic selection based on crop models.Toward integration of genomic selection with crop modelling: the development of an integrated approach to predicting rice heading dates.Association mapping of leaf rust resistance loci in a spring wheat core collection.Genome-Based Prediction of Time to Curd Induction in Cauliflower.
P2860
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P2860
Predictions of heading date in bread wheat (Triticum aestivum L.) using QTL-based parameters of an ecophysiological model.
description
2014 nî lūn-bûn
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
@zh-hk
2014年論文
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2014年論文
@zh-tw
2014年论文
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2014年论文
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2014年论文
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name
Predictions of heading date in ...... of an ecophysiological model.
@en
type
label
Predictions of heading date in ...... of an ecophysiological model.
@en
prefLabel
Predictions of heading date in ...... of an ecophysiological model.
@en
P2093
P2860
P50
P921
P356
P1476
Predictions of heading date in ...... of an ecophysiological model.
@en
P2093
Etienne Paux
François Balfourier
Jacques Bordes
Jacques Le Gouis
Matthieu Bogard
P2860
P304
P356
10.1093/JXB/ERU328
P577
2014-08-22T00:00:00Z