{"title":"利用不同年龄、性别和品种的体重测量预测尼日利亚山羊的体重","authors":"A. Shoyombo, A. A. Musa, M. Wheto","doi":"10.25081/RRST.2017.9.3359","DOIUrl":null,"url":null,"abstract":"Data collected from 900 goats sampled from Borno, Sokoto and Ogun States from three different breeds on the following metric characters: Body Weight (BW), Age, Horn Length (HL), Ear length (EL), Shoulder width (SW), Neck circumference (NC), body length (BL), Withers Height (WH), Heart Girth (HG), Pouch Girth (PG), Tail Length (TL) and Scrotal circumference (SC) were subjected to stepwise multiple linear regression. Results obtained showed Live weight changes with body measurements were poorly to highly predictable with R2 values ranging between 0.000-0.031 in animals<1 y old, 0.0000.241in animals 1-2 y and 0.000-0.658 in animals 2 y and above. It was thus concluded that the low, moderate and high predictive power obtained from this study might be due to instability of regression coefficient at different ages and points also to decreasing environmental impact on growth with increase in age.","PeriodicalId":20870,"journal":{"name":"Recent Research in Science and Technology","volume":"25 8 1","pages":"01-05"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Body Weight Prediction in Nigeria Goats using Body Measurements of Different Age, Sex and Breeds\",\"authors\":\"A. Shoyombo, A. A. Musa, M. Wheto\",\"doi\":\"10.25081/RRST.2017.9.3359\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data collected from 900 goats sampled from Borno, Sokoto and Ogun States from three different breeds on the following metric characters: Body Weight (BW), Age, Horn Length (HL), Ear length (EL), Shoulder width (SW), Neck circumference (NC), body length (BL), Withers Height (WH), Heart Girth (HG), Pouch Girth (PG), Tail Length (TL) and Scrotal circumference (SC) were subjected to stepwise multiple linear regression. Results obtained showed Live weight changes with body measurements were poorly to highly predictable with R2 values ranging between 0.000-0.031 in animals<1 y old, 0.0000.241in animals 1-2 y and 0.000-0.658 in animals 2 y and above. It was thus concluded that the low, moderate and high predictive power obtained from this study might be due to instability of regression coefficient at different ages and points also to decreasing environmental impact on growth with increase in age.\",\"PeriodicalId\":20870,\"journal\":{\"name\":\"Recent Research in Science and Technology\",\"volume\":\"25 8 1\",\"pages\":\"01-05\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Recent Research in Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25081/RRST.2017.9.3359\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Recent Research in Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25081/RRST.2017.9.3359","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Body Weight Prediction in Nigeria Goats using Body Measurements of Different Age, Sex and Breeds
Data collected from 900 goats sampled from Borno, Sokoto and Ogun States from three different breeds on the following metric characters: Body Weight (BW), Age, Horn Length (HL), Ear length (EL), Shoulder width (SW), Neck circumference (NC), body length (BL), Withers Height (WH), Heart Girth (HG), Pouch Girth (PG), Tail Length (TL) and Scrotal circumference (SC) were subjected to stepwise multiple linear regression. Results obtained showed Live weight changes with body measurements were poorly to highly predictable with R2 values ranging between 0.000-0.031 in animals<1 y old, 0.0000.241in animals 1-2 y and 0.000-0.658 in animals 2 y and above. It was thus concluded that the low, moderate and high predictive power obtained from this study might be due to instability of regression coefficient at different ages and points also to decreasing environmental impact on growth with increase in age.