{"id":"https://openalex.org/W2728835013","doi":null,"title":"Use of information on identified genes to reduce the selection bias on genetic evaluation","display_name":"Use of information on identified genes to reduce the selection bias on genetic evaluation","publication_year":2003,"publication_date":"2003-05-06","ids":{"openalex":"https://openalex.org/W2728835013","mag":"2728835013"},"language":"en","primary_location":{"id":"mag:2728835013","doi":null,"is_oa":false,"landing_page_url":"https://www.locus.ufv.br/handle/123456789/10560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091632006","display_name":"Ricardo da Fonseca","orcid":"https://orcid.org/0000-0002-1163-6296","observed_orcids":["https://orcid.org/0000-0002-1163-6296"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ricardo da Fonseca","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1163-6296","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5091632006"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10594","display_name":"Genetic and phenotypic traits in livestock","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10594","display_name":"Genetic and phenotypic traits in livestock","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11229","display_name":"Genetics and Plant Breeding","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/selection-bias","display_name":"selection bias","score":0.9509999752044678},{"id":"https://openalex.org/keywords/genetic-evaluation","display_name":"genetic evaluation","score":0.9649999737739563},{"id":"https://openalex.org/keywords/single-gene-effects","display_name":"single gene effects","score":0.5230000019073486},{"id":"https://openalex.org/keywords/fixed-effects","display_name":"fixed effects","score":0.746999979019165},{"id":"https://openalex.org/keywords/best-linear-unbiased-prediction","display_name":"BLUP","score":0.8270000219345093},{"id":"https://openalex.org/keywords/missing-data","display_name":"missing data","score":0.722000002861023},{"id":"https://openalex.org/keywords/pre-selection","display_name":"pre-selection","score":0.628000020980835},{"id":"https://openalex.org/keywords/genetic-gain","display_name":"genetic gain","score":0.7900000214576721},{"id":"https://openalex.org/keywords/weaning-weight","display_name":"weaning weight","score":0.8799999952316284},{"id":"https://openalex.org/keywords/genetic-value-prediction","display_name":"genetic value prediction","score":0.3779999911785126},{"id":"https://openalex.org/keywords/animal-breeding","display_name":"animal breeding","score":0.3580000102519989}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.822116494178772},{"id":"https://openalex.org/C106934330","wikidata":"https://www.wikidata.org/wiki/Q1971873","display_name":"Trait","level":2,"score":0.5864351987838745},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5604241490364075},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5554048418998718},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.46470513939857483},{"id":"https://openalex.org/C2778890363","wikidata":"https://www.wikidata.org/wiki/Q550479","display_name":"Genetic gain","level":4,"score":0.4641585946083069},{"id":"https://openalex.org/C2992519594","wikidata":"https://www.wikidata.org/wiki/Q870433","display_name":"Genetic model","level":3,"score":0.4466172754764557},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.41635024547576904},{"id":"https://openalex.org/C68873052","wikidata":"https://www.wikidata.org/wiki/Q349856","display_name":"Genetic variation","level":3,"score":0.3475937843322754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3331024646759033},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.3085276782512665},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3059508204460144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24524930119514465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22318953275680542},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2728835013","doi":null,"is_oa":false,"landing_page_url":"https://www.locus.ufv.br/handle/123456789/10560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6735000014305115,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W98559660","https://openalex.org/W190872167","https://openalex.org/W419166082","https://openalex.org/W1504267091","https://openalex.org/W1540363590","https://openalex.org/W1588027338","https://openalex.org/W1899779326","https://openalex.org/W1965190303","https://openalex.org/W1977688774","https://openalex.org/W1996075778","https://openalex.org/W1998727282","https://openalex.org/W2026777569","https://openalex.org/W2032485989","https://openalex.org/W2036577577","https://openalex.org/W2040735036","https://openalex.org/W2055631186","https://openalex.org/W2090756783","https://openalex.org/W2127932376","https://openalex.org/W2325014228","https://openalex.org/W2562481541","https://openalex.org/W4293258550"],"related_works":["https://openalex.org/W2562481541","https://openalex.org/W1528751721","https://openalex.org/W3114196646","https://openalex.org/W2586427952","https://openalex.org/W7095390230","https://openalex.org/W1522242294","https://openalex.org/W1552364135","https://openalex.org/W2052710201","https://openalex.org/W3045535698","https://openalex.org/W2157263348"],"abstract_inverted_index":{"Data":[0],"available":[1],"for":[2,18,181],"genetic":[3,20,29,62,79,136,228,251],"evaluation":[4,252],"are":[5,31,43,96,107],"invariably":[6],"originated":[7],"from":[8,110],"several":[9],"generations":[10],"of":[11,58,85,120,215,239,242],"selection.":[12,263],"However,":[13],"BLUP,":[14],"the":[15,61,99,111,118,135,162,168,174,191,225,240,243,250,259,267],"usual":[16],"method":[17],"predict":[19],"values,":[21],"assumes":[22],"that":[23,237],"selection":[24,76,94,101,132,268],"has":[25],"not":[26,49,108,255],"occurred.":[27],"If":[28,88],"evaluations":[30,80,177],"performed":[32,180],"ignoring":[33],"changes":[34],"in":[35,78,98,134,190,211,235,249],"variances":[36],"and":[37,48,52,66,73,129,146,161,193,198,213,230],"means":[38],"due":[39,261],"to":[40,45,70,92,116,125,130,223,257,262],"selection,":[41],"predictions":[42,106],"likely":[44],"be":[46,103],"biased":[47],"minimum":[50],"variance":[51],"ranking":[53],"alterations":[54],"may":[55],"occur.":[56],"Misclassification":[57],"animals":[59],"reduce":[60,131,258],"gain":[63],"per":[64],"generation":[65],"causes":[67],"economic":[68],"losses":[69],"breeding":[71],"companies":[72],"farmers.":[74],"The":[75,153,220,232],"problem":[77,84],"is,":[81],"essentially,":[82],"a":[83,138],"missing":[86,127],"data.":[87],"all":[89],"data":[90,128],"used":[91,222],"take":[93],"decisions":[95],"included":[97,189,202],"analysis,":[100],"can":[102],"ignored,":[104],"otherwise,":[105],"obtained":[109],"correct":[112],"distributions.":[113],"In":[114,264],"order":[115],"verify":[117],"impact":[119],"including":[121,238],"single":[122,187,200],"genes":[123,160,166,188,201,245],"information":[124,241],"recover":[126],"bias":[133,260,269],"evaluation,":[137],"simulation":[139],"study":[140],"was":[141,156,270],"carried":[142,209],"out.":[143],"Weaning":[144],"weight":[145,147,182],"at":[148,183],"550":[149,184],"days":[150,185],"were":[151,171,178,208],"simulated.":[152],"first":[154,169],"trait":[155],"controlled":[157],"by":[158,164],"20":[159],"second":[163],"40":[165],"where":[167],"twenty":[170],"shared":[172],"between":[173],"traits.":[175],"Genetic":[176],"always":[179],"without":[186],"model":[192,253],"with":[194],"20,":[195],"10,":[196],"5":[197],"2":[199],"as":[203,246],"fixed":[204,247],"effects.":[205],"Each":[206],"analysis":[207],"out":[210],"presence":[212],"absence":[214],"pre-selection":[216],"on":[217],"weaning":[218],"weight.":[219],"criteria":[221],"evaluate":[224],"technique":[226],"were:":[227],"gains":[229],"bias.":[231],"results":[233],"showed,":[234],"general,":[236],"identified":[244],"effects":[248],"did":[254],"contribute":[256],"some":[265],"generations,":[266],"larger":[271]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2017-07-14T00:00:00"}