{"id":"W2404146022","doi":"10.5376/mpb.2016.07.0019","title":"Genetic Association Analysis and Selection Indices for Yield Attributing Traits in Available Chilli (<i>Capsicum annuum</i> L.) Genotypes","year":2016,"lang":"en","type":"article","venue":"Molecular Plant Breeding","topic":"Agricultural Practices and Plant Genetics","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Capsicum annuum; Biology; Selection (genetic algorithm); Genotype; Genetics; Yield (engineering); Genetic association; Horticulture; Gene; Pepper; Single-nucleotide polymorphism","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007661734,0.0003664741,0.000275219,0.001371444,0.0001984306,0.0003316285,0.0001645232,0.0001498535,0.0009153442],"category_scores_gemma":[0.0006034286,0.0001199602,0.00038534,0.001042275,0.0001965736,0.0001138597,0.0001976684,0.0002889225,0.0001415978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002698823,"about_ca_system_score_gemma":0.0001758004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001133119,"about_ca_topic_score_gemma":0.002790442,"domain_scores_codex":[0.9995521,0.0001614686,0.00003871422,0.0001378865,0.00006694776,0.00004287293],"domain_scores_gemma":[0.9992459,0.0003399511,0.0001742345,0.00006357228,0.00006967648,0.0001066619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001511631,0.0003735144,0.6233514,0.00007180876,0.0004612699,0.0005295126,0.0004668158,0.001672478,0.3414132,0.0003305469,0.0001598837,0.02965799],"study_design_scores_gemma":[0.00001507951,0.0002803395,0.9921111,0.000003199746,0.00008012261,0.0002073793,0.0000929146,0.002662955,0.004231644,0.00006720376,0.0002360351,0.00001196811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992148,0.00002706715,0.0005346913,0.000005955687,0.000001119897,0.000003109576,0.000104646,0.000007982659,0.000100789],"genre_scores_gemma":[0.9977279,0.00002537901,0.00159847,0.000004196758,0.000001824644,0.000007886081,0.000419676,0.000009491452,0.0002051786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001371444,"threshold_uncertainty_score":0.004051983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765845170992533,"score_gpt":0.1957958107844538,"score_spread":0.1781373590745285,"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."}}