Detection and use of QTL for complex traits in multiple environments.
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Effects of the semi-dwarfing sdw1/denso gene in barleyPredictive modelling of complex agronomic and biological systemsThe statistical analysis of multi-environment data: modeling genotype-by-environment interaction and its genetic basis.Genotype by watering regime interaction in cultivated tomato: lessons from linkage mapping and gene expression.Genome-Wide Analysis of Yield in Europe: Allelic Effects Vary with Drought and Heat Scenarios.Identification of Single Nucleotide Polymorphisms Associated with Brown Rust Resistance, α-Amylase Activity and Pre-harvest Sprouting in Rye (Secale cereale L.).Mapping complex traits as a dynamic system.Mixed model association scans of multi-environmental trial data reveal major loci controlling yield and yield related traits in Hordeum vulgare in Mediterranean environments.Whole-genome analysis of multienvironment or multitrait QTL in MAGIC.Genome wide association study for drought, aflatoxin resistance, and important agronomic traits of maize hybrids in the sub-tropics.Comparative systems biology reveals allelic variation modulating Tocochromanol profiles in Barley (Hordeum vulgare L.).QTL Analysis of Head Splitting Resistance in Cabbage (Brassica oleracea L. var. capitata) Using SSR and InDel Makers Based on Whole-Genome Re-SequencingMixed model approach for IBD-based QTL mapping in a complex oil palm pedigreeGenetic control of plasticity of oil yield for combined abiotic stresses using a joint approach of crop modeling and genome-wide association.Identification of environmentally stable QTL for resistance against Leptosphaeria maculans in oilseed rape (Brassica napus).A new broccoli × broccoli immortal mapping population and framework genetic map: tools for breeders and complex trait analysisMulti-trait QTL analysis for agronomic and quality characters of Agaricus bisporus (button mushrooms).Genotype to phenotype maps: multiple input abiotic signals combine to produce growth effects via attenuating signaling interactions in maizeScBx gene based association analysis of hydroxamate content in rye (Secale cereale L.).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.Mapping QTL for agronomic traits in breeding populations.Crop management impacts the efficiency of quantitative trait loci (QTL) detection and use: case study of fruit load×QTL interactions.MAGIC populations in crops: current status and future prospects.Quantifying Wheat Sensitivities to Environmental Constraints to Dissect Genotype × Environment Interactions in the Field.Association mapping reveals the genetic architecture of tomato response to water deficit: focus on major fruit quality traits.Development of a QTL-environment-based predictive model for node addition rate in common bean.Predictable 'meta-mechanisms' emerge from feedbacks between transpiration and plant growth and cannot be simply deduced from short-term mechanisms.Quantitative trait loci and candidate genes underlying genotype by environment interaction in the response of Arabidopsis thaliana to drought.Genetic dissection of temperature-dependent sorghum growth during juvenile development.iFORM/eQTL: an ultrahigh-dimensional platform for inferring the global genetic architecture of gene transcripts.Genome-wide association mapping in plants.Regions of the bread wheat D genome associated with variation in key photosynthesis traits and shoot biomass under both well watered and water deficient conditions.Marker-based estimation of heritability in immortal populations.Selection on QTL and complex traits in complex environments.Genetic architecture of plant stress resistance: multi-trait genome-wide association mappingEstimation of metabolite networks with regard to a specific covariable: applications to plant and human data.Genome-Wide Analysis of Grain Yield Stability and Environmental Interactions in a Multiparental Soybean Population.From flower to seed: identifying phenological markers and reliable growth functions to model reproductive development in the common bean (Phaseolus vulgaris L.).Mapping of quantitative trait loci for grain yield and its components in a US popular winter wheat TAM 111 using 90K SNPs.
P2860
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P2860
Detection and use of QTL for complex traits in multiple environments.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on April 2010
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Detection and use of QTL for complex traits in multiple environments.
@en
Detection and use of QTL for complex traits in multiple environments.
@nl
type
label
Detection and use of QTL for complex traits in multiple environments.
@en
Detection and use of QTL for complex traits in multiple environments.
@nl
prefLabel
Detection and use of QTL for complex traits in multiple environments.
@en
Detection and use of QTL for complex traits in multiple environments.
@nl
P1476
Detection and use of QTL for complex traits in multiple environments
@en
P2093
Fred A van Eeuwijk
Marco C A M Bink
P304
P356
10.1016/J.PBI.2010.01.001
P577
2010-04-01T00:00:00Z