Species/Population Samples G2P Pair Model Description Author Journal Year PMID
Indica 469 23 a compressed mixed linear model (CMLM) Genome wide association mapping for grain shape traits in indica rice Xinghua Wei et al. Planta 2016 27198135
O.sativa;Indica; Indica group II ; Tropical Japonica; Temperate Japonica; Aus; Indica group I ; Japonica 529; 203; 105; 44; 91; 46; 98; 135 102 a linear mixed model (LMM) Genetic Architecture of Natural Variation in Rice Chlorophyll Content Revealed by a Genome-Wide Association Study Gongwei Wang et al. Molecular Plant 2015 25747843
hybrid Rice 1495 54 an efficient mixed-model association eXpedited (EMMAX) Genomic analysis of hybrid rice varieties reveals numerous superior alleles that contribute to heterosis Bin Han et al. Nat Commun 2015 25651972
Indica 469 23 a compressed mixed linear model (CMLM) Uncovering novel loci for mesocotyl elongation and shoot length in indica rice through genome-wideassociation mapping Xinghua Wei et al. Planta 2015 26612069
O.sativa; Indica; Japonica 529; 295; 156 6824 a linear mixed model (LMM) Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism Jie Luo;Xingming Lian et al. Nat Genet 2014 24908251
Japonica 168 124 a mixed linear model (MLM+Q+K); a mixed linear model  (MLM+K) Genome-wide association mapping of root traits in a japonica rice panel Brigitte Courtois et al. PLoS One 2013 24223758
Indica; Indica; Rice; Japonica; Japonica 373; 373; 950; 231; 231 105 Simple Model; a compressed mixed linear model (CMLM); a compressed mixed linear model (CMLM); Simple Model; a compressed mixed linear model (CMLM) Genome-wide association study of flowering time and grain yield traits in a worldwide collection of rice germplasm Bin Han et al. Nat Genet 2011 22138690
Rice 520 81 Simple model; a compressed mixed linear model (CMLM) Genome-wide association studies of 14 agronomic traits in rice landraces Bin Han et al. Nat Genet 2010 20972439
Japonica 176 1250 a linear mixed model (LMM) Genome-wide association study using whole-genome sequencing rapidly identifies new genes influencing agronomic traits in rice Makoto Matsuoka et. al. Nature Genetics 2016 27322545
Oryza sativa 423 60 a mixed linear model (MLM) QTL mapping and candidate gene analysis of peduncle vascular bundle related traits in rice by genome-wide association study. Yun Wang et. al. Rice (New York, N.Y.) 2018 29511908
Oryza sativa 276 6 a mixed linear model (MLM) Genome-wide association study to identify candidate loci and genes for Mn toxicity tolerance in rice. Michael Frei et. al. PloS one 2018 29425206
Oryza sativa 208 20 a compressed mixed linear model (CMLM) Identification of QTN and candidate genes for Salinity Tolerance at the Germination and Seedling Stages in Rice by Genome-Wide Association Analyses. Zhi-Kang Li et. al. Scientific reports 2018 29695843
Japonica 244 9 general linear (GLM) and mixed linear (MLM) models Divergent Hd1, Ghd7, and DTH7 Alleles Control Heading Date and Yield Potential of Japonica Rice in Northeast China Xinghua Wei et. al. Frontiers in plant science 2018 29434613
indica 453 9 The compressed mixed linear model (cMLM) Genome-Wide Association Study of Seed Dormancy and the Genomic Consequences of Improvement Footprints in Rice (Oryza sativa L.) Xinghua Wei et. al. Frontiers in plant science 2018 29354150
Oryza sativa 391 42 a mixed linear model (MLM) Genome-Wide Association Study for Traits Related to Plant and Grain Morphology, and Root Architecture in Temperate Rice Accessions. Filippo Biscarini et al. PloS one 2016 27228161
Oryza sativa 258 22 a mixed linear model (MLM) Genome-wide and gene-based association mapping for rice eating and cooking characteristics and protein content. Zhikang Li et al. Scientific reports 2017 29222496
Oryza sativa 570 40 a mixed linear model (MLM) Genome-wide association study of rice grain width variation. Qingwen Yang et al. Genome 2017 29193996
japonica  281 141 a mixed linear model (MLM) Genome-Wide Analysis of japonica Rice Performance under Limited Water and Permanent Flooding Conditions Giampiero Valè et al. Frontiers in plant science 2017 29163588
Oryza sativa 529 22 a mixed linear model (MLM) Genetic Architecture of Natural Variation in Rice Nonphotochemical Quenching Capacity Revealed by Genome-Wide Association Study Gongwei Wang et al. Frontiers in plant science 2017 29081789
indica;japonica  156;166 69 a mixed linear model (MLM) Genome-wide association mapping for root cone angle in rice. Brigitte Courtois et al. Rice (New York, N.Y.) 2017 28971382