{"id":"W4387767118","doi":"10.1002/agg2.20437","title":"Kabuli chickpea seed quality diversity and preliminary genome‐wide association study identifies markers and potential candidate genes","year":2023,"lang":"en","type":"article","venue":"Agrosystems Geosciences & Environment","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Agricultural Research Service; USA Dry Pea and Lentil Council; Washington State University; U.S. Department of Agriculture","keywords":"Biology; Single-nucleotide polymorphism; Quantitative trait locus; Candidate gene; Genetic association; Marker-assisted selection; Genome; SNP; Genome-wide association study; Genetics; Plant breeding; Biotechnology; SNP array; Molecular marker; Genetic marker; Gene; Molecular breeding; Agronomy; Genotype","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":[0.0003303895,0.0003069818,0.0003386243,0.0009069614,0.0005405701,0.0004909819,0.0002615472,0.0002507334,0.001696327],"category_scores_gemma":[0.0002891065,0.0001532055,0.0003195401,0.001103271,0.0001377326,0.00009339853,0.0002629323,0.0003966988,0.0002292054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003888897,"about_ca_system_score_gemma":0.0002953519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01591968,"about_ca_topic_score_gemma":0.02705542,"domain_scores_codex":[0.9998073,0.00002649867,0.00001189412,0.00009104206,0.00003373595,0.00002956873],"domain_scores_gemma":[0.9997485,0.00006797248,0.00006058537,0.0000274994,0.00005701721,0.00003852359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001669693,0.0001693251,0.5358815,0.000222874,0.0009438613,0.001216808,0.000974709,0.001170625,0.4305099,0.0005661123,0.0008049326,0.02586967],"study_design_scores_gemma":[0.00001420707,0.00003593029,0.9956329,0.000009339924,0.00008298411,0.0002431368,0.00008159183,0.000426493,0.00234071,0.0000334,0.001093235,0.000006072935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967659,0.0003836989,0.0006206685,0.00003258687,0.000003838231,0.00001099789,0.00157903,0.00001266777,0.0005907286],"genre_scores_gemma":[0.9923544,0.0003340605,0.003058207,0.00004229105,0.000003661705,0.00002711135,0.003117147,0.00001226738,0.001050846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01591968,"threshold_uncertainty_score":0.03165406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145644674274747,"score_gpt":0.1956827341953924,"score_spread":0.1811182667679178,"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."}}