{"id":"W2073670277","doi":"10.1139/g10-049","title":"Association mapping for phenological, morphological, and quality traits in canola quality winter rapeseed (<i>Brassica napus</i>L.)This article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”.","year":2010,"lang":"en","type":"article","venue":"Genome","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Quantitative trait locus; Biology; Association mapping; Rapeseed; Canola; Genetics; Family-based QTL mapping; Linkage disequilibrium; Genetic association; Amplified fragment length polymorphism; Genome-wide association study; Brassica; Gene mapping; Allele; Genotype; Single-nucleotide polymorphism; Gene; Haplotype; Agronomy; Chromosome; Population; Genetic diversity","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":[0.0008712378,0.0003167687,0.0002152823,0.001198341,0.0003234899,0.0003116136,0.0002728574,0.0002232245,0.001059674],"category_scores_gemma":[0.00112932,0.0001391703,0.0004553867,0.0008942637,0.0002349816,0.0001105477,0.0002836529,0.0002931911,0.0001535393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004011054,"about_ca_system_score_gemma":0.0003816285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007435302,"about_ca_topic_score_gemma":0.02019815,"domain_scores_codex":[0.9994513,0.0001375814,0.00002506805,0.0002174985,0.0001039507,0.00006468449],"domain_scores_gemma":[0.998814,0.0005646162,0.0003044071,0.00009104022,0.00009688242,0.0001289973],"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":[0.001169962,0.0001741127,0.2637486,0.0002307809,0.0006737873,0.0005809678,0.000995643,0.001587717,0.6829952,0.0005495884,0.0002201487,0.04707345],"study_design_scores_gemma":[0.00004102109,0.0002013777,0.9810024,0.00001066812,0.0002416431,0.0005298728,0.0001231336,0.002178331,0.01411709,0.0002153063,0.001317327,0.00002175418],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969688,0.0004057357,0.001988383,0.00002886215,0.000003578896,0.00001258215,0.0002518512,0.00001963239,0.0003205414],"genre_scores_gemma":[0.9914036,0.0002585324,0.006428364,0.00002601612,0.000005122551,0.00002261105,0.0007620705,0.00001780882,0.001075794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007435302,"threshold_uncertainty_score":0.01478404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973018387403547,"score_gpt":0.2541771677136133,"score_spread":0.2244469838395778,"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."}}