{"title":"大鼠的生长曲线和形态计量变量:它们是否相关?","authors":"L Leamy, D Bradley","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Four growth curve variables were measured in a population of rats in order to assess their association, if any, with a suite of morphometric characters. The growth curve variables (A = asymptotic weight, R = growth rate, P = percentage of asymptotic size at inflection, and G = time to grow from 10 to 90% of asymptotic size) were derived from Richards' curves applied to longitudinal body weight data, and the morphometric characters (measured in 189-day-old rats) consisted of 4 tooth and 7 bone variables. As assessed by a canonical correlation analysis, there was a significant association between the two sets of variables, especially between A and the skeletal variables. It was hypothesized that associations of the bone characters should be greater with A but less with R compared with those for the tooth characters, and this was shown to be the case. The canonical correlation analysis also showed a strong association of P with G in each sex, although in a factor analysis these two variables associated with R.</p>","PeriodicalId":75887,"journal":{"name":"Growth","volume":"51 3","pages":"271-81"},"PeriodicalIF":0.0000,"publicationDate":"1987-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Growth curve and morphometric variables in rats: are they related?\",\"authors\":\"L Leamy, D Bradley\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Four growth curve variables were measured in a population of rats in order to assess their association, if any, with a suite of morphometric characters. The growth curve variables (A = asymptotic weight, R = growth rate, P = percentage of asymptotic size at inflection, and G = time to grow from 10 to 90% of asymptotic size) were derived from Richards' curves applied to longitudinal body weight data, and the morphometric characters (measured in 189-day-old rats) consisted of 4 tooth and 7 bone variables. As assessed by a canonical correlation analysis, there was a significant association between the two sets of variables, especially between A and the skeletal variables. It was hypothesized that associations of the bone characters should be greater with A but less with R compared with those for the tooth characters, and this was shown to be the case. The canonical correlation analysis also showed a strong association of P with G in each sex, although in a factor analysis these two variables associated with R.</p>\",\"PeriodicalId\":75887,\"journal\":{\"name\":\"Growth\",\"volume\":\"51 3\",\"pages\":\"271-81\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1987-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Growth\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Growth","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Growth curve and morphometric variables in rats: are they related?
Four growth curve variables were measured in a population of rats in order to assess their association, if any, with a suite of morphometric characters. The growth curve variables (A = asymptotic weight, R = growth rate, P = percentage of asymptotic size at inflection, and G = time to grow from 10 to 90% of asymptotic size) were derived from Richards' curves applied to longitudinal body weight data, and the morphometric characters (measured in 189-day-old rats) consisted of 4 tooth and 7 bone variables. As assessed by a canonical correlation analysis, there was a significant association between the two sets of variables, especially between A and the skeletal variables. It was hypothesized that associations of the bone characters should be greater with A but less with R compared with those for the tooth characters, and this was shown to be the case. The canonical correlation analysis also showed a strong association of P with G in each sex, although in a factor analysis these two variables associated with R.