{"id":"W3091977896","doi":"10.1007/s00122-020-03697-8","title":"Association mapping and genomic selection for sorghum adaptation to tropical soils of Brazil in a sorghum multiparental random mating population","year":2020,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Empresa Brasileira de Pesquisa Agropecuária","keywords":"Biology; Sorghum; Linkage disequilibrium; Population; Quantitative trait locus; Genetics; Candidate gene; Association mapping; Genetic architecture; Allele; Balancing selection; Evolutionary biology; Gene; Agronomy; Genotype; Single-nucleotide polymorphism; Haplotype","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007349111,0.0002896523,0.0003390869,0.00124405,0.0008613479,0.0004433167,0.0004532449,0.0001904947,0.001009153],"category_scores_gemma":[0.001425362,0.0002479827,0.0003838313,0.0009486615,0.0007111742,0.0001171684,0.0006020769,0.0002753644,0.00009067157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004980984,"about_ca_system_score_gemma":0.0005010162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955268,"about_ca_topic_score_gemma":0.0509643,"domain_scores_codex":[0.9992647,0.0003076055,0.00004438296,0.0002268803,0.0000673968,0.0000890354],"domain_scores_gemma":[0.9992806,0.0002846099,0.0001667035,0.00009120174,0.00008096001,0.00009595059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001056724,0.0002899062,0.7327321,0.00005802039,0.0004718034,0.001999039,0.0116645,0.0004918028,0.2307786,0.002125092,0.00008020394,0.01825226],"study_design_scores_gemma":[0.00004656119,0.0002072514,0.9916568,0.00001564112,0.0001925437,0.001153136,0.002572083,0.001279201,0.002082136,0.0002977517,0.0004755324,0.0000212604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996221,0.00001518327,0.000200416,0.00000643365,5.458156e-7,0.000003167314,0.0000152813,0.00000132191,0.0001355267],"genre_scores_gemma":[0.9995236,0.00002145695,0.0003235477,0.00000550073,5.528611e-7,0.000003649172,0.00002572,0.000002403363,0.00009352244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01955268,"threshold_uncertainty_score":0.03887773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113384809525774,"score_gpt":0.2245524421510098,"score_spread":0.213418594055752,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}