{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006452794,0.0001538464,0.0004636575,0.00008375614,0.00005772902,0.000023873,0.0001324457,0.0001802995,0.000009340651],"category_scores_gemma":[0.0005215974,0.0001425686,0.00009263118,0.0001323877,0.00006691008,0.00001602537,0.00004786404,0.0001364957,9.975765e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001062726,"about_ca_system_score_gemma":0.0001551441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001255069,"about_ca_topic_score_gemma":0.0018857,"domain_scores_codex":[0.9984475,0.00008074565,0.0006668036,0.0003224173,0.0002025321,0.0002799945],"domain_scores_gemma":[0.9979904,0.0003753656,0.0009400148,0.0001567393,0.0004980131,0.00003942164],"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":[0.0004372373,0.0002009922,0.06936382,0.000189714,0.0002645245,2.109515e-7,0.003400666,0.0002430467,0.9255149,0.00003547662,0.000005802404,0.0003436292],"study_design_scores_gemma":[0.003845278,0.0005764701,0.2629922,0.00006525802,0.0001224146,1.003122e-7,0.00495697,0.01926356,0.7075874,0.0003639968,0.00003969303,0.0001866987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898528,0.0001760814,0.008622872,0.0002930922,0.00001888548,0.0007170116,0.0002930389,0.000004039093,0.00002218789],"genre_scores_gemma":[0.9931018,0.00002005343,0.006318191,0.00007354311,0.0000249564,0.0001408685,0.0001333511,0.00001942572,0.0001678142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2179275,"threshold_uncertainty_score":0.581378,"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."}}