Simulating the yield impacts of organ-level quantitative trait loci associated with drought response in maize: a "gene-to-phenotype" modeling approach.
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Identifying traits for genotypic adaptation using crop modelsRoot systems biology: integrative modeling across scales, from gene regulatory networks to the rhizosphereA generic model to simulate air-borne diseases as a function of crop architectureCharacterizing drought stress and trait influence on maize yield under current and future conditions.Breeding for the future: what are the potential impacts of future frost and heat events on sowing and flowering time requirements for Australian bread wheat (Triticum aestivium) varieties?Utilizing intraspecific variation in phenotypic plasticity to bolster agricultural and forest productivity under climate change.Variation and impact of drought-stress patterns across upland rice target population of environments in Brazil.Phenotypic and genetic dissection of component traits for early vigour in rice using plant growth modelling, sugar content analyses and association mappingNext generation crop models: A modular approach to model early vegetative and reproductive development of the common bean (Phaseolus vulgaris L).A common genetic determinism for sensitivities to soil water deficit and evaporative demand: meta-analysis of quantitative trait Loci and introgression lines of maize.Any trait or trait-related allele can confer drought tolerance: just design the right drought scenario.Protein profiles reveal diverse responsive signaling pathways in kernels of two maize inbred lines with contrasting drought sensitivity.Transcriptome profiling of leaf elongation zone under drought in contrasting rice cultivars.Simulating the impact of genetic diversity of Medicago truncatula on germination and emergence using a crop emergence model for ideotype breeding.Integrating 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.Integrating mixed-effect models into an architectural plant model to simulate inter- and intra-progeny variability: a case study on oil palm (Elaeis guineensis Jacq.).Quantification of the effects of VRN1 and Ppd-D1 to predict spring wheat (Triticum aestivum) heading time across diverse environments.Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops.Yield-trait performance landscapes: from theory to application in breeding maize for drought tolerance.Modelling the size and composition of fruit, grain and seed by process-based simulation models.Sequencing crop genomes: approaches and applications.High-throughput phenotyping and genomic selection: the frontiers of crop breeding converge.Genetic and physiological controls of growth under water deficit.Can current crop models be used in the phenotyping era for predicting the genetic variability of yield of plants subjected to drought or high temperature?Trait-based model development to support breeding programs. A case study for salt tolerance and rice.Predictable 'meta-mechanisms' emerge from feedbacks between transpiration and plant growth and cannot be simply deduced from short-term mechanisms.Large-scale characterization of drought pattern: a continent-wide modelling approach applied to the Australian wheatbelt--spatial and temporal trends.Environment characterization as an aid to wheat improvement: interpreting genotype-environment interactions by modelling water-deficit patterns in North-Eastern Australia.Linking ecophysiological modelling with quantitative genetics to support marker-assisted crop design for improved yields of rice (Oryza sativa) under drought stress.Regulation of tillering in sorghum: genotypic effects.Using plant growth modeling to analyze C source-sink relations under drought: inter- and intraspecific comparison.Optimization of Allelic Combinations Controlling Parameters of a Peach Quality Model.Combining quantitative trait loci analysis with physiological models to predict genotype-specific transpiration rates.Plasticity of Sorghum Stem Biomass Accumulation in Response to Water Deficit: A Multiscale Analysis from Internode Tissue to Plant Level.Predictions of heading date in bread wheat (Triticum aestivum L.) using QTL-based parameters of an ecophysiological model.From flower to seed: identifying phenological markers and reliable growth functions to model reproductive development in the common bean (Phaseolus vulgaris L.).Bayesian estimation and use of high-throughput remote sensing indices for quantitative genetic analyses of leaf growth.Dissecting the rootstock control of scion transpiration using model-assisted analyses in grapevine.
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P2860
Simulating the yield impacts of organ-level quantitative trait loci associated with drought response in maize: a "gene-to-phenotype" modeling approach.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 28 September 2009
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Simulating the yield impacts o ...... -phenotype" modeling approach.
@en
Simulating the yield impacts o ...... -phenotype" modeling approach.
@nl
type
label
Simulating the yield impacts o ...... -phenotype" modeling approach.
@en
Simulating the yield impacts o ...... -phenotype" modeling approach.
@nl
prefLabel
Simulating the yield impacts o ...... -phenotype" modeling approach.
@en
Simulating the yield impacts o ...... -phenotype" modeling approach.
@nl
P2093
P2860
P1433
P1476
Simulating the yield impacts o ...... -phenotype" modeling approach.
@en
P2093
Claude Welcker
François Tardieu
Graeme L Hammer
Greg McLean
Karine Chenu
Scott C Chapman
P2860
P304
P356
10.1534/GENETICS.109.105429
P407
P577
2009-09-28T00:00:00Z