{"id":"W2472083102","doi":"10.1007/s11032-016-0496-5","title":"Microsatellite markers used for genome-wide association mapping of partial resistance to Sclerotinia sclerotiorum in a world collection of Brassica napus","year":2016,"lang":"en","type":"article","venue":"Molecular Breeding","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Saskatchewan Canola Development Commission; Ministry of Agriculture - Saskatchewan; Genome Canada","keywords":"Sclerotinia sclerotiorum; Biology; Sclerotinia; Microsatellite; Brassica; Association mapping; Population; Genetics; Quantitative trait locus; Stem rot; Plant disease resistance; Germplasm; Allele; Botany; Genotype; Gene; Single-nucleotide polymorphism","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005711875,0.0004654277,0.0004152358,0.001482259,0.0005287954,0.0003183903,0.0003956161,0.0002355732,0.001620689],"category_scores_gemma":[0.0007467911,0.0001647257,0.0003720086,0.002146194,0.0001573282,0.0001027927,0.0003101102,0.0002534819,0.0005769474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003740457,"about_ca_system_score_gemma":0.0007035114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008229413,"about_ca_topic_score_gemma":0.02593172,"domain_scores_codex":[0.9995604,0.0000780367,0.00004745984,0.0001551839,0.0001152699,0.00004368846],"domain_scores_gemma":[0.9994531,0.00006396047,0.0001719167,0.00008801168,0.0001013236,0.0001216649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000385329,0.0001447967,0.07343876,0.0002126668,0.0003221253,0.0005317288,0.0006566849,0.0005440608,0.9016877,0.0002882732,0.0005582553,0.02122961],"study_design_scores_gemma":[0.0001720904,0.0004334011,0.9399375,0.00004659181,0.0003958201,0.001358193,0.0002264312,0.001564698,0.04032713,0.0001225233,0.01537951,0.00003603857],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825132,0.0004807836,0.007755218,0.00003872321,0.00002178723,0.0003318683,0.007389496,0.0001456605,0.001323325],"genre_scores_gemma":[0.9196595,0.0005349273,0.04601174,0.0000575501,0.00001992907,0.0004281745,0.03059039,0.00007954519,0.002618202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008229413,"threshold_uncertainty_score":0.01636302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752840377040166,"score_gpt":0.2034664195495179,"score_spread":0.1859380157791163,"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."}}