{"id":"W4386827559","doi":"10.3168/jds.2023-23284","title":"Genetic parameters and genome-wide association studies for mozzarella and milk production traits, lactation length, and lactation persistency in Murrah buffaloes","year":2023,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Instituto Nacional de Ciência e Tecnologia de Ciência Animal; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Lactation; Ice calving; Best linear unbiased prediction; Biology; Trait; Statistics; Restricted maximum likelihood; Animal science; Genetic correlation; Herd; Population; Mathematics; Selection (genetic algorithm); Genetics; Maximum likelihood; Genetic variation; Demography; Gene; Pregnancy","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":[0.001605961,0.0003072793,0.0003166575,0.0006629975,0.0002978713,0.000396516,0.0003467384,0.0003420351,0.001778046],"category_scores_gemma":[0.002532343,0.0001495759,0.0007028372,0.0009049131,0.0003381441,0.0002819163,0.0003547466,0.0003630965,0.0001019793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001356333,"about_ca_system_score_gemma":0.0001820485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003266867,"about_ca_topic_score_gemma":0.003672685,"domain_scores_codex":[0.9993812,0.0002721767,0.00004468434,0.0002123986,0.00004428826,0.00004527924],"domain_scores_gemma":[0.998666,0.000669471,0.0004013898,0.0001217884,0.00006224628,0.00007902192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003448566,0.00004336662,0.9855117,0.00003519554,0.0007478794,0.000135025,0.0001787341,0.0007199153,0.005815159,0.0001924811,0.00004868587,0.006227065],"study_design_scores_gemma":[0.00001147422,0.00006072388,0.996182,0.000007840336,0.0001794812,0.0001190913,0.0001100191,0.002911064,0.0001584772,0.0001000299,0.0001537728,0.000006139531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989246,0.0002713957,0.0005878887,0.00002003233,0.000001853821,0.000002052368,0.0001146619,0.000007111181,0.0000704197],"genre_scores_gemma":[0.9990317,0.00009221151,0.0005812549,0.000007015479,0.000007328638,0.000006532483,0.0001797816,0.000004676438,0.00008951349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003266867,"threshold_uncertainty_score":0.008493245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316828796416294,"score_gpt":0.2722237916308687,"score_spread":0.2490555036667058,"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."}}