{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:20:16Z","timestamp":1760242816087,"version":"build-2065373602"},"reference-count":43,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2016,12,4]],"date-time":"2016-12-04T00:00:00Z","timestamp":1480809600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Veterinary Sciences"],"abstract":"<jats:p>The study used 69 brains (n = 69) from adult dog cadavers, divided by their skull type into three groups, brachi (B), dolicho (D) and mesaticephalic (M) (n = 23 each), and aimed: (1) to determine whether the Bronson equation may be applied, without reservation, to estimate brain weight (BW) in brachy (B), dolicho (D), and mesaticephalic (M) dog breeds; and (2) to evaluate which breeds are more closely related to each other in an evolutionary scenario. All subjects were identified by sex, age, breed, and body weight (bw). An oscillating saw was used for a circumferential craniotomy to open the skulls; the brains were removed and weighed using a digital scale. For statistical analysis, p-values &lt; 0.05 were considered significant. The work demonstrated a strong relationship between the observed and predicted BW by using the Bronson equation. It was possible to hypothesize that groups B and D present a greater encephalization level than M breeds, that B and D dog breeds are more closely related to each other than to M, and from the three groups, the D individuals presented the highest brain mass mean.<\/jats:p>","DOI":"10.3390\/vetsci3040036","type":"journal-article","created":{"date-parts":[[2016,12,5]],"date-time":"2016-12-05T10:27:09Z","timestamp":1480933629000},"page":"36","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Using Bronson Equation to Accurately Predict the Dog Brain Weight Based on Body Weight Parameter"],"prefix":"10.3390","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6784-2806","authenticated-orcid":false,"given":"L.","family":"Carreira","sequence":"first","affiliation":[{"name":"Faculty of Veterinary Medicine, University of Lisbon (FMV\/ULisboa), Av. da Universidade T\u00e9cnica de Lisboa, Polo Universit\u00e1rio Alto da Ajuda, Lisbon 1300-477, Portugal"},{"name":"Centre for Interdisciplinary Research in Animal Health (CIISA), FMV\/ULisboa, Av. da Universidade T\u00e9cnica de Lisboa, Polo Universit\u00e1rio Alto da Ajuda, Lisbon 1300-477, Portugal"},{"name":"Anjos of Assis Veterinary Medicine Centre (CMVAA), Rua D\u00aa. Francisca da Azambuja N\u00ba 9\u20139A, Barreiro 2830-077, Portugal"},{"name":"Private Practice in Human Dentistry, Oral Medicine and Surgery Clinic, Lisbon 1300-477, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2016,12,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1258\/0023677021911731","article-title":"Use of allometry in predicting anatomical and physiological parameters of mammals","volume":"36","author":"Lindstedt","year":"2002","journal-title":"Lab. Anim."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Jerison, H.J. (1973). Evolution of the Brain and Intelligence, Academic.","DOI":"10.1016\/B978-0-12-385250-2.50018-3"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1159\/000121839","article-title":"Brain weight-body weight scaling in breeds of dogs and cats","volume":"16","author":"Bronson","year":"1979","journal-title":"Brain Behav. 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