{"id":"W4390911266","doi":"10.1186/s12864-024-10005-x","title":"Identification of two major QTLs for pod shell thickness in peanut (Arachis hypogaea L.) using BSA-seq analysis","year":2024,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Peanut Plant Research Studies","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Key Research and Development Program of China; Henan Academy of Agricultural Sciences","keywords":"Biology; Quantitative trait locus; Genetics; Population; Candidate gene; Bulked segregant analysis; Arachis hypogaea; Chromosome; Gene; Gene mapping; Botany","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":[0.0001266655,0.0004680781,0.0003721297,0.0005319263,0.0001856889,0.0002277144,0.0002159251,0.0001746249,0.0009965184],"category_scores_gemma":[0.0001215732,0.0002054805,0.0004943553,0.0003473765,0.0001736814,0.0001133297,0.0002277886,0.0004261809,0.0002661455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002547765,"about_ca_system_score_gemma":0.000215324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003147444,"about_ca_topic_score_gemma":0.005376861,"domain_scores_codex":[0.9999189,0.000005012479,0.000004409976,0.00004028333,0.00001903681,0.00001222651],"domain_scores_gemma":[0.9998878,0.00003191356,0.00003442589,0.000006063546,0.0000144319,0.00002527311],"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":[0.0001251593,0.00001769448,0.002311209,0.00005884374,0.00001675005,0.0001183897,0.00006239921,0.0003003841,0.9951702,0.00003798458,0.00006006942,0.001721006],"study_design_scores_gemma":[0.0001632822,0.0002912306,0.6369296,0.00004340284,0.0003096463,0.001081891,0.0004309929,0.02414208,0.3292811,0.0002844516,0.006963376,0.00007907613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858308,0.0003350739,0.00911085,0.00004557276,0.00001753046,0.00004083574,0.003867046,0.000154085,0.0005982132],"genre_scores_gemma":[0.9694324,0.0002665798,0.01814315,0.0001255522,0.00001193366,0.00008847463,0.008471779,0.0001287659,0.003331458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003147444,"threshold_uncertainty_score":0.006258249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06237683467051882,"score_gpt":0.3098241861263797,"score_spread":0.2474473514558609,"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."}}