Mapping mendelian factors underlying quantitative traits using RFLP linkage maps, Genetics, vol.121, issue.1, pp.185-199, 1989. ,
Asymptotic Distribution of the Maximum Likelihood Ratio Test for Gene Detection, Statistics, vol.138, issue.3, pp.261-285, 1998. ,
DOI : 10.2307/2533317
On some statistical aspects of the interval mapping for QTL detection, Statistica Sinica, vol.15, issue.4, pp.909-925, 2005. ,
Likelihood ratio test process for quantitative trait locus detection, Statistics, vol.138, issue.1, pp.787-801, 2014. ,
DOI : 10.1023/A:1009683603862
URL : https://hal.archives-ouvertes.fr/hal-00483171
Statistical genetics of quantitative traits: linkage, maps and QTL, 2007. ,
Rice Domestication by Reducing Shattering, Science, vol.311, issue.5769, pp.1936-1939, 2006. ,
DOI : 10.1126/science.1123604
fw2.2: A Quantitative Trait Locus Key to the Evolution of Tomato Fruit Size, Science, vol.289, issue.5476, pp.85-88, 2000. ,
DOI : 10.1126/science.289.5476.85
A unified mixed-model method for association mapping that accounts for multiple levels of relatedness, Nature Genetics, vol.2, issue.2, pp.203-208, 2006. ,
DOI : 10.2527/1992.7072000x
Potential etiologic and functional implications of genome-wide association loci for human diseases and traits, Proceedings of the National Academy of Sciences, vol.40, issue.3, pp.9362-9367, 2009. ,
DOI : 10.1038/ng.91
Progress and challenges in genome-wide association studies in humans, Nature, vol.40, issue.7223, pp.728-731, 2008. ,
DOI : 10.1038/nature07631
Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease, Nature Genetics, vol.179, issue.8, pp.955-962, 2008. ,
DOI : 10.1021/bi060570x
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2574810
Genome-wide association analysis identifies 20 loci that influence adult height, Nature Genetics, vol.316, issue.5, pp.575-583, 2008. ,
DOI : 10.1016/S0140-6736(08)60208-1
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2681221
Identification of ten loci associated with height highlights new biological pathways in human growth, Nature Genetics, vol.67, issue.5, pp.584-591, 2008. ,
DOI : 10.1136/bmj.327.7414.557
MAS, and genomic selection Short course organized by Iowa State UniversityAvailable from: http://www.anslab.iastate, ABG%20Short%20Course/QTL% 20Mapping,%20MAS,%20and%20Genomic%20Selection%20Dr.%20Ben%20Hayes.pdf, 2007. ,
Mapping genes for complex traits in domestic animals and their use in breeding programmes, Nature Reviews Genetics, vol.39, issue.6, pp.381-391, 2009. ,
DOI : 10.1186/1297-9686-37-S1-S11
The Genetic Architecture of Maize Flowering Time, Science, vol.40, issue.5, pp.714-718, 2009. ,
DOI : 10.1038/ng0508-489
Personal genomes: The case of the missing heritability, Nature, vol.455, issue.7218, pp.18-21, 2008. ,
DOI : 10.1093/hmg/ddm175
Finding the missing heritability of complex diseases, Nature, vol.41, issue.7265, pp.747-753, 2009. ,
DOI : 10.1016/j.tig.2007.12.007
Genomic Selection using Multiple Populations, Crop Science, vol.52, issue.6, pp.2453-2461, 2012. ,
DOI : 10.2135/cropsci2012.03.0160
Predicting genetic predisposition in humans: the promise of whole-genome markers, Nature Reviews Genetics, vol.28, issue.12, pp.880-886, 2010. ,
DOI : 10.2527/jas1982.5451079x
Whole-Genome Regression and Prediction Methods Applied to Plant and Animal Breeding, Genetics, vol.193, issue.2, pp.327-345, 2013. ,
DOI : 10.1534/genetics.112.143313
Invited review: Genomic selection in dairy cattle: Progress and challenges, Journal of Dairy Science, vol.92, issue.2, pp.433-443, 2009. ,
DOI : 10.3168/jds.2008-1646
Genomic selection in plant breeding: from theory to practice, Briefings in Functional Genomics, vol.9, issue.2, pp.166-177, 2010. ,
DOI : 10.1093/bfgp/elq001
URL : https://academic.oup.com/bfg/article-pdf/9/2/166/573726/elq001.pdf
Genomic Selection for Fruit Quality Traits in Apple (Malus??domestica Borkh.), PLoS ONE, vol.3, issue.2, p.22574211, 2012. ,
DOI : 10.1371/journal.pone.0036674.t004
URL : http://doi.org/10.1371/journal.pone.0036674
Genomic selection in sugar beet breeding populations, BMC genetics, vol.14, issue.1, p.24047500, 2013. ,
Genetic diversity and trait genomic prediction in a pea diversity panel, BMC Genomics, vol.16, issue.1, p.25765216, 2015. ,
DOI : 10.1007/BF00015981
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355348
Genomic Selection and Association Mapping in rice (Oryza sativa): Effect of trait genetic architecture, training population composition, marker number and statistical model on accuracy of rice genomic selection in elite, tropical rice breeding lines, PLoS Genetics, vol.11, issue.2, p.25689273, 2015. ,
Overview of LASSO-related penalized regression methods for quantitative trait mapping and genomic selection, Theoretical and Applied Genetics, vol.35, issue.3, pp.419-435, 2012. ,
DOI : 10.1214/009053607000000127
Back to Basics for Bayesian Model Building in Genomic Selection, Genetics, vol.191, issue.3, pp.969-987, 2012. ,
DOI : 10.1534/genetics.112.139014
Genomic-Assisted Prediction of Genetic Value With Semiparametric Procedures, Genetics, vol.173, issue.3, pp.1761-1776, 2006. ,
DOI : 10.1534/genetics.105.049510
Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods, Genetics Research, vol.92, issue.04, pp.295-308, 2010. ,
DOI : 10.1017/S0016672310000285
Accuracy of Predicting the Genetic Risk of Disease Using a Genome-Wide Approach, PLoS ONE, vol.5, issue.10, p.18852893, 2008. ,
DOI : 10.1371/journal.pone.0003395.s002
The Impact of Genetic Architecture on Genome-Wide Evaluation Methods, Genetics, vol.185, issue.3, pp.1021-1031, 2010. ,
DOI : 10.1534/genetics.110.116855
Using the genomic relationship matrix to predict the accuracy of genomic selection, Journal of Animal Breeding and Genetics, vol.42, issue.6, pp.409-421, 2011. ,
DOI : 10.1038/ng.608
Genomic selection: prediction of accuracy and maximisation of long term response, Genetica, vol.169, issue.2, pp.245-257, 2009. ,
DOI : 10.1017/S0016672307008865
Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix, Heredity, vol.62, issue.3, pp.221-227, 2005. ,
DOI : 10.1002/1098-2272(200012)19:4<323::AID-GEPI4>3.0.CO;2-5
Is the use of formulae a reliable way to predict the accuracy of genomic selection?, Journal of Animal Breeding and Genetics, vol.91, issue.3, pp.207-217, 2015. ,
DOI : 10.1017/S0016672309990243
URL : https://hal.archives-ouvertes.fr/hal-01194037
Genome-based prediction of testcross values in maize, Theoretical and Applied Genetics, vol.182, issue.2, pp.339-350, 2011. ,
DOI : 10.1534/genetics.108.098277
Reliability of direct genomic values for animals with different relationships within and to the reference population, Journal of Dairy Science, vol.95, issue.1, pp.389-400, 2012. ,
DOI : 10.3168/jds.2011-4338
Maximizing the Reliability of Genomic Selection by Optimizing the Calibration Set of Reference Individuals: Comparison of Methods in Two Diverse Groups of Maize Inbreds (Zea mays L.), Genetics, vol.192, issue.2, pp.715-728, 2012. ,
DOI : 10.1534/genetics.112.141473
URL : https://hal.archives-ouvertes.fr/hal-01019845
The impact of genetic relationship information on genome-assisted breeding values, Genetics, vol.177, issue.4, pp.2389-2397, 2007. ,
DOI : 10.1534/genetics.107.081190
Sequence- vs. chip-assisted genomic selection: accurate biological information is advised, Genetics Selection Evolution, vol.4, issue.1, pp.43-53, 2015. ,
DOI : 10.1371/journal.pgen.1000008
Genomic selection in French dairy cattle, Animal Production Science, vol.52, issue.3, pp.115-120, 2012. ,
DOI : 10.1071/AN11119
URL : https://hal.archives-ouvertes.fr/hal-01000202
Prediction of total genetic value using genome-wide dense marker maps, Genetics, vol.157, issue.4, pp.1819-1829, 2001. ,
Enhancing Genome-Enabled Prediction by Bagging Genomic BLUP, PLoS ONE, vol.139, issue.(Suppl 2), p.24722227, 2014. ,
DOI : 10.1371/journal.pone.0091693.s001
URL : http://doi.org/10.1371/journal.pone.0091693
A Commentary on ???Common SNPs Explain a Large Proportion of the Heritability for Human Height??? by Yang et al. (2010), Twin Research and Human Genetics, vol.460, issue.06, pp.517-524, 2010. ,
DOI : 10.1038/ng.608
Ridge regression and other kernels for genomic selection with R package rrBLUP. The Plant Genome, pp.250-255, 2011. ,
Introduction to quantitative genetics, DS Falconer, 1960. ,
An introduction to population genetics theory, 1970. ,
Restricted Maximum Likelihood (REML) Estimation of Variance Components in the Mixed Model, Technometrics, vol.18, issue.1, pp.31-38, 1976. ,
DOI : 10.2307/1267913
Available from: http://cran.r-project.org/src, Simulation of Genomic Data in Applied Genetics, vol.12, 2014. ,
The combination of linkage values and the calculation of distances between the loci of linked factors, J Genet, vol.8, issue.29, pp.299-309, 1919. ,
Prediction of Complex Human Traits Using the Genomic Best Linear Unbiased Predictor, PLoS Genetics, vol.10, issue.7, pp.1-15 ,
DOI : 10.1371/journal.pgen.1003608.s008
Variances and covariances of squared linkage disequilibria in finite populations. Theoretical population biology, pp.54-78, 1988. ,
Genomewide Prediction Accuracy within 969 Maize Biparental Populations, Crop Science, vol.54, issue.4, pp.1514-1522, 2014. ,
DOI : 10.2135/cropsci2013.12.0856
Genome Size and GC Content Evolution of Festuca: Ancestral Expansion and Subsequent Reduction, Annals of Botany, vol.101, issue.3, pp.421-433, 2008. ,
DOI : 10.1093/aob/mcm307
Nuclear DNA content and genome size of trout and human, Cytometry Part A, issue.51, pp.127-135, 2003. ,
Genome Wide Allele Frequency Fingerprints (GWAFFs) of Populations via Genotyping by Sequencing, PLoS ONE, vol.99, issue.3, p.23469194, 2013. ,
DOI : 10.1371/journal.pone.0057438.s006
URL : http://doi.org/10.1371/journal.pone.0057438
Detection of favorable alleles for plant height and crown rust tolerance in three connected populations of perennial ryegrass (Lolium perenne L.), Theoretical and Applied Genetics, vol.44, issue.6, pp.1139-1153, 2012. ,
DOI : 10.2135/cropsci2004.0925
Fast and accurate short read alignment with Burrows-Wheeler transform, Bioinformatics, vol.25, issue.14, 2009. ,
DOI : 10.1093/bioinformatics/btp324
URL : https://academic.oup.com/bioinformatics/article-pdf/25/14/1754/605544/btp324.pdf
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data, Genome Research, vol.20, issue.9, pp.1297-1303, 2010. ,
DOI : 10.1101/gr.107524.110
PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses, The American Journal of Human Genetics, vol.81, issue.3, pp.559-575, 2007. ,
DOI : 10.1086/519795
URL : http://doi.org/10.1086/519795
Genome-wide association and genomic selection in animal breeding, Genome, vol.53, issue.11, pp.876-883, 2010. ,
Linkage disequilibrium in synthetic varieties of perennial ryegrass, Theoretical and Applied Genetics, vol.38, issue.6, pp.837-847, 2007. ,
DOI : 10.1101/gr.3.1.69
Common SNPs explain a large proportion of the heritability for human height, Nature Genetics, vol.31, issue.7, pp.565-569, 2010. ,
DOI : 10.1007/BF01066731
Estimation in high-dimensional linear models with deterministic design matrices. The Annals of Statistics, pp.812-831, 2012. ,
Statistical significance in high-dimensional linear models, Bernoulli, vol.19, issue.4, pp.1212-1242, 2013. ,
DOI : 10.3150/12-BEJSP11
Genomic BLUP Decoded: A Look into the Black Box of Genomic Prediction, Genetics, vol.194, issue.3, pp.597-607, 2013. ,
DOI : 10.1534/genetics.113.152207
Novel measures of linkage disequilibrium that correct the bias due to population structure and relatedness, Heredity, vol.155, issue.3, pp.285-291, 2011. ,
DOI : 10.1534/genetics.108.098863
URL : https://hal.archives-ouvertes.fr/hal-01267769
Accuracy and training population design for genomic selection on quantitative traits in elite North American oats. The Plant Genome, pp.132-144, 2011. ,
Morphological Characteristics of Perennial Ryegrass Leaves that Influence Short-Term Intake in Dairy Cows, Agronomy Journal, vol.98, issue.4, pp.978-985, 2006. ,
DOI : 10.2134/agronj2005.0213
Evidence from the use of isozyme markers of competition in swards between short-leaved and long-leaved perennial ryegrass. Grass and Forage Science, pp.241-248, 1995. ,
Relationship of Leaf Elongation to Forage Yield of Tall Fescue Genotype1, Crop Science, vol.18, issue.5, pp.715-719, 1978. ,
DOI : 10.2135/cropsci1978.0011183X001800050005x
Quantitative Trait Locus (QTL) meta-analysis and comparative genomics for candidate gene prediction in perennial ryegrass (Lolium perenne L.), BMC Genetics, vol.13, issue.1 ,
DOI : 10.1186/1471-2156-13-101
URL : https://bmcgenet.biomedcentral.com/track/pdf/10.1186/1471-2156-13-101?site=bmcgenet.biomedcentral.com
Prospects for genomic selection in forage plant species, Plant Breeding, vol.4, issue.2, pp.133-143, 2013. ,
DOI : 10.1371/journal.pone.0008451
URL : http://onlinelibrary.wiley.com/doi/10.1111/pbr.12037/pdf
Bridging the gap between marker-assisted and genomic selection of heading time and plant height in hybrid wheat, Heredity, vol.157, issue.6, pp.638-645, 2014. ,
DOI : 10.2135/cropsci2012.08.0463