{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T21:11:03Z","timestamp":1780434663207,"version":"3.54.1"},"reference-count":19,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T00:00:00Z","timestamp":1673913600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Animal Breeding Genetics"],"published-print":{"date-parts":[[2023,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Beef cattle breeding programs offer genetic evaluations and consulting services on animal breeding practices to help breeders improve the genetic merit of their herds. Some breeders are more willing to apply best practices and technologies than others. Consequently, the average genetic merit and genetic trends differ across herds. We benchmarked some parameters of an average herd (AVE) and the corresponding parameters of herds with higher genetic merit (TOP), both participating in a commercial Nellore breeding program. Expected progeny differences (EPD) for growth, reproductive and carcass traits and a selection index (SI) of animals born from 2005 to 2019 on 128 farms located in Brazil, Bolivia and Paraguay were used to compute the AVE parameters. The 20 herds with higher mean SI of animals born in the last five birth seasons were classified as TOP herds. The mean SI and EPD of animals born in the last five seasons in the TOP herds were, respectively, 89% and 79% to 206% higher (<jats:italic>p<\/jats:italic>\u2009\u2264\u20090.001) than those of animals from the AVE herd. Genetic trends over the entire period were also higher (50% for SI and 31% to 88% separately for each trait, <jats:italic>p<\/jats:italic>\u2009\u2264\u20090.006) in the TOP herds compared to the AVE herd. Although the difference in the numbers of cows, bulls and calves between the TOP and AVE herds did not reach statistical significance (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.175, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.273 and <jats:italic>p<\/jats:italic>\u00a0=\u00a00.061, respectively), the numbers of progeny per cow and per bull were 21% (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.012) and 26% (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.047) higher in the TOP herds, respectively. Multiple ovulation and embryo transfer and in vitro fertilization and embryo transfer (MOET\/IVF) accounted for a higher percentage of births in the TOP herds compared to AVE (24.6% vs. 12.5%, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.002). The generation interval was 17% shorter (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001) in the TOP herds compared to AVE. The average inbreeding coefficient of animals from the TOP herds (1.08\u2009\u00b1\u20090.52%) did not differ (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.78) from that of AVE animals (1.26\u2009\u00b1\u20090.96%). In general, AVE herds are evolving in the desirable direction but differences in genetic merit between AVE and TOP herds are increasing over time. The more frequent use of MOET\/IVF, a lower cow\u2010to\u2010bull ratio, and a larger family size (progeny per cow or per bull) can help achieve larger selection differentials and increase genetic trends and average genetic merits of TOP herds compared to AVE herds.<\/jats:p>","DOI":"10.1111\/jbg.12757","type":"journal-article","created":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T12:04:08Z","timestamp":1673957048000},"page":"287-294","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Benchmarking in a beef cattle breeding program: Lessons from the best breeders"],"prefix":"10.1111","volume":"140","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6798-0758","authenticated-orcid":false,"given":"Fabio Luiz Buranelo","family":"Toral","sequence":"first","affiliation":[{"name":"Universidade Federal de Minas Gerais  Belo Horizonte Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gilberto Romeiro de Oliveira","family":"Menezes","sequence":"additional","affiliation":[{"name":"Embrapa Gado de Corte  Campo Grande Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luiz Otavio Campos","family":"da Silva","sequence":"additional","affiliation":[{"name":"Embrapa Gado de Corte  Campo Grande Brazil"},{"name":"In Memoriam, Embrapa Gado de Corte  Campo Grande Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leonardo","family":"Martin\u00a0Nieto","sequence":"additional","affiliation":[{"name":"Geneplus Consultoria Agropecu\u00e1ria Ltda  Campo Grande Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Jr.","given":"Maury Dorta","family":"de Souza","sequence":"additional","affiliation":[{"name":"Geneplus Consultoria Agropecu\u00e1ria Ltda  Campo Grande Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Jr.","given":"Roberto Augusto de Almeida","family":"Torres","sequence":"additional","affiliation":[{"name":"Embrapa Gado de Corte  Campo Grande Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,1,17]]},"reference":[{"key":"e_1_2_10_2_1","volume-title":"Sistema integrado de avalia\u00e7\u00e3o gen\u00e9tica PMGZ Corte 2021\u20101","author":"ABCZ","year":"2021"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.3168\/jds.2009\u20102730"},{"key":"e_1_2_10_4_1","volume-title":"Index ASBIA 2021 m\u00eddia","author":"ASBIA","year":"2022"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.theriogenology.2021.08.008"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/jbg.12366"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0161366"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1590\/S1516\u201035982003000600003"},{"key":"e_1_2_10_9_1","volume-title":"Introduction to quantitative genetics","author":"Falconer D. 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