Detection and use of QTL for complex traits in multiple environments.

[1]  John K Kruschke,et al.  Bayesian data analysis. , 2010, Wiley interdisciplinary reviews. Cognitive science.

[2]  F. Tardieu,et al.  Dissection and modelling of abiotic stress tolerance in plants. , 2010, Current opinion in plant biology.

[3]  G. Hammer,et al.  Simulating the Yield Impacts of Organ-Level Quantitative Trait Loci Associated With Drought Response in Maize: A “Gene-to-Phenotype” Modeling Approach , 2009, Genetics.

[4]  L. Totir,et al.  Mixed model approaches for the identification of QTLs within a maize hybrid breeding program , 2009, Theoretical and Applied Genetics.

[5]  J. Ragoussis.  Genotyping technologies for genetic research. , 2009, Annual review of genomics and human genetics.

[6]  Andrew C. Oates,et al.  Quantitative approaches in developmental biology , 2009, Nature Reviews Genetics.

[7]  Zhiwu Zhang,et al.  Association Mapping: Critical Considerations Shift from Genotyping to Experimental Design , 2009, The Plant Cell Online.

[8]  Chengsong Zhu,et al.  Nonmetric Multidimensional Scaling Corrects for Population Structure in Association Mapping With Different Sample Types , 2009, Genetics.

[9]  M. Goddard,et al.  Mapping genes for complex traits in domestic animals and their use in breeding programmes , 2009, Nature Reviews Genetics.

[10]  G. Jürgens,et al.  Survival of the flexible: hormonal growth control and adaptation in plant development , 2009, Nature Reviews Genetics.

[11]  S. Chapman,et al.  Simultaneous selection of major and minor genes: use of QTL to increase selection efficiency of coleoptile length of wheat (Triticum aestivum L.) , 2009, Theoretical and Applied Genetics.

[12]  G. Hammer,et al.  Modeling QTL for complex traits: detection and context for plant breeding. , 2009, Current opinion in plant biology.

[13]  Jingyuan Fu,et al.  Defining gene and QTL networks. , 2009, Current opinion in plant biology.

[14]  Rongling Wu,et al.  Nonparametric Functional Mapping of Quantitative Trait Loci , 2009, Biometrics.

[15]  B. Yandell,et al.  A Model Selection Approach for the Identification of Quantitative Trait Loci in Experimental Crosses, Allowing Epistasis , 2009, Genetics.

[16]  B. Yandell,et al.  Bayesian Quantitative Trait Loci Mapping for Multiple Traits , 2008, Genetics.

[17]  Dai Zhang,et al.  Two-stage designs to identify the effects of SNP combinations on complex diseases , 2008, Journal of Human Genetics.

[18]  C. Braak,et al.  Bayesian analysis of complex traits in pedigreed plant populations , 2008, Euphytica.

[19]  José Crossa,et al.  A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize (Zea mays L.) , 2008, Euphytica.

[20]  Scott C. Chapman,et al.  Use of crop models to understand genotype by environment interactions for drought in real-world and simulated plant breeding trials , 2008, Euphytica.

[21]  W. Powell,et al.  From mutations to MAGIC: resources for gene discovery, validation and delivery in crop plants. , 2008, Current opinion in plant biology.

[22]  Greg McLean,et al.  Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maize. , 2008, Plant, cell & environment.

[23]  M. Koornneef,et al.  A mixed model QTL analysis for a complex cross population consisting of a half diallel of two-way hybrids in Arabidopsis thaliana: analysis of simulated data , 2008, Euphytica.

[24]  M. McMullen,et al.  Genetic Design and Statistical Power of Nested Association Mapping in Maize , 2008, Genetics.

[25]  R. Reiter,et al.  Molecular Markers in a Commercial Breeding Program , 2007 .

[26]  F. V. van Eeuwijk,et al.  A Mixed-Model Quantitative Trait Loci (QTL) Analysis for Multiple-Environment Trial Data Using Environmental Covariables for QTL-by-Environment Interactions, With an Example in Maize , 2007, Genetics.

[27]  Jochen C Reif,et al.  Novel throughput phenotyping platforms in plant genetic studies. , 2007, Trends in plant science.

[28]  Shizhong Xu,et al.  An Empirical Bayes Method for Estimating Epistatic Effects of Quantitative Trait Loci , 2007, Biometrics.

[29]  Scott D. Foster,et al.  Incorporating LASSO effects into a mixed model for quantitative trait loci detection , 2007 .

[30]  F. V. van Eeuwijk,et al.  A Mixed-Model Approach to Association Mapping Using Pedigree Information With an Illustration of Resistance to Phytophthora infestans in Potato , 2007, Genetics.

[31]  B. Walsh,et al.  Models for navigating biological complexity in breeding improved crop plants. , 2006, Trends in plant science.

[32]  F. Tardieu,et al.  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. , 2006, Journal of experimental botany.

[33]  R. Visser,et al.  QTL methodology for response curves on the basis of non-linear mixed models, with an illustration to senescence in potato , 2006, Theoretical and Applied Genetics.

[34]  U. Roessner,et al.  Comprehensive metabolic profiling and phenotyping of interspecific introgression lines for tomato improvement , 2006, Nature Biotechnology.

[35]  R. Wu,et al.  Functional mapping — how to map and study the genetic architecture of dynamic complex traits , 2006, Nature Reviews Genetics.

[36]  William Valdar,et al.  Simulating the Collaborative Cross: Power of Quantitative Trait Loci Detection and Mapping Resolution in Large Sets of Recombinant Inbred Strains of Mice , 2006, Genetics.

[37]  D. Laurie,et al.  The Pseudo-Response Regulator Ppd-H1 Provides Adaptation to Photoperiod in Barley , 2005, Science.

[38]  Robin Thompson,et al.  The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches , 2005, The Journal of Agricultural Science.

[39]  F. V. van Eeuwijk,et al.  QTL analysis and QTL-based prediction of flowering phenology in recombinant inbred lines of barley. , 2005, Journal of experimental botany.

[40]  H. Piepho.  Statistical tests for QTL and QTL-by-environment effects in segregating populations derived from line crosses , 2005, Theoretical and Applied Genetics.

[41]  L. Gianfranceschi,et al.  THE EUROPEAN PROJECT HIDRAS: INNOVATIVE MULTIDISCIPLINARY APPROACHES TO BREEDING HIGH QUALITY DISEASE RESISTANT APPLES , 2004 .

[42]  Dean W. Podlich,et al.  Mapping As You Go , 2004 .

[43]  F. V. van Eeuwijk,et al.  Mixed models including environmental covariables for studying QTL by environment interaction , 2004, Euphytica.

[44]  H. Piepho,et al.  Mixed modelling for QTL × environment interaction analysis , 2004, Euphytica.

[45]  Robin Thompson,et al.  The analysis of quantitative trait loci in multi-environment trials using a multiplicative mixed model , 2003 .

[46]  Wei Zhao,et al.  Functional mapping for quantitative trait loci governing growth rates: a parametric model. , 2003, Physiological genomics.

[47]  Alain Charcosset,et al.  Combining Quantitative Trait Loci Analysis and an Ecophysiological Model to Analyze the Genetic Variability of the Responses of Maize Leaf Growth to Temperature and Water Deficit1 , 2003, Plant Physiology.

[48]  Graeme L. Hammer,et al.  Evaluating Plant Breeding Strategies by Simulating Gene Action and Dryland Environment Effects , 2003, Agronomy Journal.

[49]  K. Broman,et al.  A model selection approach for the identification of quantitative trait loci in experimental crosses , 2002 .

[50]  G. Casella,et al.  Functional mapping of quantitative trait loci underlying the character process: a theoretical framework. , 2002, Genetics.

[51]  M. Sillanpää,et al.  Multiple QTL mapping in related plant populations via a pedigree-analysis approach , 2002, Theoretical and Applied Genetics.

[52]  Ana Ivelisse Avilés,et al.  Linear Mixed Models for Longitudinal Data , 2001, Technometrics.

[53]  G. Molenberghs,et al.  Linear Mixed Models for Longitudinal Data , 2001 .

[54]  M. Goddard,et al.  Prediction of total genetic value using genome-wide dense marker maps. , 2001, Genetics.

[55]  Elizabeth A. Thompson,et al.  MCMC Estimation of Multi‐locus Genome Sharing and Multipoint Gene Location Scores , 2000 .

[56]  W. Ewens.  Genetics and analysis of quantitative traits , 1999 .

[57]  M. Sillanpää,et al.  Bayesian mapping of multiple quantitative trait loci from incomplete inbred line cross data. , 1998, Genetics.

[58]  Brian R. Cullis,et al.  Accounting for natural and extraneous variation in the analysis of field experiments , 1997 .

[59]  Sylvia Richardson,et al.  Markov Chain Monte Carlo in Practice , 1997 .

[60]  M A Newton,et al.  A bayesian approach to detect quantitative trait loci using Markov chain Monte Carlo. , 1996, Genetics.

[61]  Paul H. C. Eilers,et al.  Flexible smoothing with B-splines and penalties , 1996 .

[62]  P. Green.  Reversible jump Markov chain Monte Carlo computation and Bayesian model determination , 1995 .

[63]  Xinyou Yin,et al.  A nonlinear model for crop development as a function of temperature , 1995 .

[64]  Z B Zeng,et al.  Multiple trait analysis of genetic mapping for quantitative trait loci. , 1995, Genetics.

[65]  Z. Zeng.  Precision mapping of quantitative trait loci. , 1994, Genetics.

[66]  R. N. Curnow,et al.  Estimating the locations and the sizes of the effects of quantitative trait loci using flanking markers , 1992, Theoretical and Applied Genetics.

[67]  C. Haley,et al.  A simple regression method for mapping quantitative trait loci in line crosses using flanking markers , 1992, Heredity.

[68]  A. Jeppsson,et al.  Tumour and cellular localization by use of monoclonal and polyclonal antibodies to placental alkaline phosphatase. , 1984, British Journal of Cancer.

[69]  James W. Jones,et al.  A Gene‐Based Model to Simulate Soybean Development and Yield Responses to Environment , 2006 .

[70]  F. Tardieu.  Virtual plants: modelling as a tool for the genomics of tolerance to water deficit. , 2003, Trends in plant science.

[71]  Mark Cooper,et al.  QU-GENE: a simulation platform for quantitative analysis of genetic models , 1998, Bioinform..

[72]  A. Raftery,et al.  Bayes factors , 1995 .

[73]  R. Jansen,et al.  University of Groningen High Resolution of Quantitative Traits Into Multiple Loci via Interval Mapping , 2022 .