Santiago Hernández Zapata, Noel Blanco-Roa, Elvin Chavarría Rivaz, C. A. Zuniga-Gonzalez
{"title":"超声法对猪胴体的体内估计:猪生物经济生态强化的一种方法","authors":"Santiago Hernández Zapata, Noel Blanco-Roa, Elvin Chavarría Rivaz, C. A. Zuniga-Gonzalez","doi":"10.5377/ribcc.v5i10.8966","DOIUrl":null,"url":null,"abstract":"In this study we analyze the relationship between subcutaneous fat thickness (EGS), muscle thickness (MS) and subcutaneous fat thickness and muscle thickness together (EGSM), measured with ultrasound at a single anatomical point of live pigs and more parameters important of the carcass . In our experiment we used hybrid pigs of the Pietrain, Landrace and Yorkshire breeds in an amount of 25 animals of both sexes. The results of the study suggest that the parameters of the channel composition analyzed here (Live weight, carcass weight, meat class A, B, C and specific cuts, loin, leg post and needle) are highly correlated with the thickness of subcutaneous fat measured with ultrasound on the last rib of the very long dorsal muscle on the left side of the live pig (r = 0.53 - 0.67). The multiple correlation of the linear regression prediction model between the parameters of the carcass and the thickness of the dorsal fat was (0.74) and the coefficient of determination showed sufficient predictability (R2 = 0.55). The linear regression prediction models of the carcass components with muscle thickness obtained low predictability (R2 = 0.23). Similarly in the regression model of subcutaneous fat thickness and muscle thickness together (R2 = 0.25). Among the most important correlations found are: right loin, class A meat (r = 0.80), live weight and whole carcass (r = 0.85) right shoulder and class B meat (r = 0.88) being this repetitive pattern in all correlations of ultrasonographic measurements and channel components.","PeriodicalId":127519,"journal":{"name":"Revista Iberoamericana de Bioeconomía y Cambio Climàtico","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Estimación in vivo de la canal porcina por el método de ultrasonografía: Un Enfoque de la Ecointensificación en Bioeconomia Porcina\",\"authors\":\"Santiago Hernández Zapata, Noel Blanco-Roa, Elvin Chavarría Rivaz, C. A. Zuniga-Gonzalez\",\"doi\":\"10.5377/ribcc.v5i10.8966\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study we analyze the relationship between subcutaneous fat thickness (EGS), muscle thickness (MS) and subcutaneous fat thickness and muscle thickness together (EGSM), measured with ultrasound at a single anatomical point of live pigs and more parameters important of the carcass . In our experiment we used hybrid pigs of the Pietrain, Landrace and Yorkshire breeds in an amount of 25 animals of both sexes. The results of the study suggest that the parameters of the channel composition analyzed here (Live weight, carcass weight, meat class A, B, C and specific cuts, loin, leg post and needle) are highly correlated with the thickness of subcutaneous fat measured with ultrasound on the last rib of the very long dorsal muscle on the left side of the live pig (r = 0.53 - 0.67). The multiple correlation of the linear regression prediction model between the parameters of the carcass and the thickness of the dorsal fat was (0.74) and the coefficient of determination showed sufficient predictability (R2 = 0.55). The linear regression prediction models of the carcass components with muscle thickness obtained low predictability (R2 = 0.23). Similarly in the regression model of subcutaneous fat thickness and muscle thickness together (R2 = 0.25). Among the most important correlations found are: right loin, class A meat (r = 0.80), live weight and whole carcass (r = 0.85) right shoulder and class B meat (r = 0.88) being this repetitive pattern in all correlations of ultrasonographic measurements and channel components.\",\"PeriodicalId\":127519,\"journal\":{\"name\":\"Revista Iberoamericana de Bioeconomía y Cambio Climàtico\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista Iberoamericana de Bioeconomía y Cambio Climàtico\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5377/ribcc.v5i10.8966\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Iberoamericana de Bioeconomía y Cambio Climàtico","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5377/ribcc.v5i10.8966","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimación in vivo de la canal porcina por el método de ultrasonografía: Un Enfoque de la Ecointensificación en Bioeconomia Porcina
In this study we analyze the relationship between subcutaneous fat thickness (EGS), muscle thickness (MS) and subcutaneous fat thickness and muscle thickness together (EGSM), measured with ultrasound at a single anatomical point of live pigs and more parameters important of the carcass . In our experiment we used hybrid pigs of the Pietrain, Landrace and Yorkshire breeds in an amount of 25 animals of both sexes. The results of the study suggest that the parameters of the channel composition analyzed here (Live weight, carcass weight, meat class A, B, C and specific cuts, loin, leg post and needle) are highly correlated with the thickness of subcutaneous fat measured with ultrasound on the last rib of the very long dorsal muscle on the left side of the live pig (r = 0.53 - 0.67). The multiple correlation of the linear regression prediction model between the parameters of the carcass and the thickness of the dorsal fat was (0.74) and the coefficient of determination showed sufficient predictability (R2 = 0.55). The linear regression prediction models of the carcass components with muscle thickness obtained low predictability (R2 = 0.23). Similarly in the regression model of subcutaneous fat thickness and muscle thickness together (R2 = 0.25). Among the most important correlations found are: right loin, class A meat (r = 0.80), live weight and whole carcass (r = 0.85) right shoulder and class B meat (r = 0.88) being this repetitive pattern in all correlations of ultrasonographic measurements and channel components.