{"id":"W2389690683","doi":"10.1139/g10-075","title":"Association mapping of seed oil content in Brassica napus and comparison with quantitative trait loci identified from linkage mappingThis 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":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Quantitative trait locus; Selection (genetic algorithm); Association mapping; Linkage (software); Genetics; Brassica; Trait; Genetic linkage; Genome-wide association study; Genome; Genetic association; Family-based QTL mapping; Gene mapping; Gene; Single-nucleotide polymorphism; Botany; Chromosome; Genotype","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":[0.0004374689,0.0002827721,0.0001844817,0.001676903,0.0002653578,0.0002233369,0.0001800793,0.0001884426,0.0008649679],"category_scores_gemma":[0.0005049743,0.0001437169,0.0004187735,0.001150187,0.000208543,0.00009974143,0.000276235,0.0002253925,0.0001765191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002423844,"about_ca_system_score_gemma":0.0001889318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004233481,"about_ca_topic_score_gemma":0.006086455,"domain_scores_codex":[0.9997196,0.00004924201,0.00001600622,0.0001136651,0.00006868278,0.00003286293],"domain_scores_gemma":[0.9995416,0.0001720622,0.0001313264,0.00003765866,0.00004472187,0.00007264616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006900533,0.00009693285,0.07611521,0.00009351717,0.0001812731,0.0003756259,0.0003682907,0.0003325266,0.9088943,0.0002686218,0.00007489311,0.01250874],"study_design_scores_gemma":[0.00004910014,0.0002045244,0.9599344,0.00001030835,0.0001559505,0.000733247,0.0001634449,0.002735401,0.03415038,0.0001770114,0.001665425,0.00002086033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954293,0.0004474803,0.003255552,0.00002375346,0.000006706896,0.00001218862,0.0003541361,0.00003079769,0.0004400697],"genre_scores_gemma":[0.9942217,0.0002490241,0.004029323,0.00001189026,0.000004640148,0.00002014766,0.0008633372,0.00001358237,0.0005862935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004233481,"threshold_uncertainty_score":0.008417666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793044658967737,"score_gpt":0.2365933543112175,"score_spread":0.2186629077215401,"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."}}