Matches in SemOpenAlex for { <https://semopenalex.org/work/W2002797576> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2002797576 endingPage "506" @default.
- W2002797576 startingPage "497" @default.
- W2002797576 abstract "Estimation equations for carcass composition were obtained using the information extracted from the carcass cross section by Computer Image Analysis (CIA). The total kilograms of lean, fat, and bone, and their percentages, were measured on the left side of the carcasses of F 1 (cross-bred between Japanese Black and Holstein) steers by physical dissection. Traced data of the cross section between the 5th and 6th ribs (Data set I) and pictures of carcass cross section between the 7th and 8th ribs (Data set II) were subjected to image analysis. Various information on both the individual muscles and the overall outline of the cross section was extracted by the CIA technique. Maximum R 2 improvement method of the stepwise procedure was used to choose the best regression equation to estimate carcass composition as total kilograms and percentages of lean, fat, and bone. The data sets were also adjusted for age and the stepwise procedure was also conducted. Coefficients of determination, adjusted for the degrees of freedom (adjusted R 2 ) of the regression equations for estimating carcass composition, were high, i.e., 0.779 to 0.959 for kilograms of lean, fat, and bone, whereas for the percentages of lean, fat, and bone were high, i.e., 0.788 to 0.952, respectively. For the adjusted data, the adjusted R 2 for estimating kilograms of lean, fat, and bone with Data sets I and II were 0.729, 0.633, and 0.598, and 0.813, 0.806, and 0.878, respectively, while for the percentages of lean, fat, and bone were 0.793, 0.623, and 0.378, and 0.953, 0.989, and 0.467, respectively. When the estimation equation obtained from the unadjusted Data set I was fitted with the information extracted from Data set II, the correlation coefficients between the values estimated by the equation and the values obtained by physical dissection on carcass composition were high, ranging from 0.70 to 0.92. On the other hand, the correlation coefficients obtained from the adjusted data sets were low. Key words: Estimation equation, computer image analysis, carcass composition, carcass cross section, F 1 steers" @default.
- W2002797576 created "2016-06-24" @default.
- W2002797576 creator A5015126934 @default.
- W2002797576 creator A5018862389 @default.
- W2002797576 creator A5081035662 @default.
- W2002797576 creator A5085342509 @default.
- W2002797576 creator A5089614234 @default.
- W2002797576 date "1996-12-01" @default.
- W2002797576 modified "2023-10-11" @default.
- W2002797576 title "Estimation of carcass composition by computer image analysis in the cross sections of cross-bred steers" @default.
- W2002797576 cites W147723833 @default.
- W2002797576 cites W1494855461 @default.
- W2002797576 cites W1574032332 @default.
- W2002797576 cites W2320038303 @default.
- W2002797576 cites W2324747086 @default.
- W2002797576 cites W2334278661 @default.
- W2002797576 cites W2346385996 @default.
- W2002797576 cites W3186572343 @default.
- W2002797576 cites W85728580 @default.
- W2002797576 doi "https://doi.org/10.4141/cjas96-076" @default.
- W2002797576 hasPublicationYear "1996" @default.
- W2002797576 type Work @default.
- W2002797576 sameAs 2002797576 @default.
- W2002797576 citedByCount "8" @default.
- W2002797576 countsByYear W20027975762013 @default.
- W2002797576 crossrefType "journal-article" @default.
- W2002797576 hasAuthorship W2002797576A5015126934 @default.
- W2002797576 hasAuthorship W2002797576A5018862389 @default.
- W2002797576 hasAuthorship W2002797576A5081035662 @default.
- W2002797576 hasAuthorship W2002797576A5085342509 @default.
- W2002797576 hasAuthorship W2002797576A5089614234 @default.
- W2002797576 hasConcept C105702510 @default.
- W2002797576 hasConcept C105795698 @default.
- W2002797576 hasConcept C121332964 @default.
- W2002797576 hasConcept C126322002 @default.
- W2002797576 hasConcept C138885662 @default.
- W2002797576 hasConcept C140793950 @default.
- W2002797576 hasConcept C147583825 @default.
- W2002797576 hasConcept C152877465 @default.
- W2002797576 hasConcept C160306043 @default.
- W2002797576 hasConcept C170964787 @default.
- W2002797576 hasConcept C3017965810 @default.
- W2002797576 hasConcept C3020755666 @default.
- W2002797576 hasConcept C33923547 @default.
- W2002797576 hasConcept C40231798 @default.
- W2002797576 hasConcept C41895202 @default.
- W2002797576 hasConcept C52234038 @default.
- W2002797576 hasConcept C62520636 @default.
- W2002797576 hasConcept C71924100 @default.
- W2002797576 hasConcept C86803240 @default.
- W2002797576 hasConceptScore W2002797576C105702510 @default.
- W2002797576 hasConceptScore W2002797576C105795698 @default.
- W2002797576 hasConceptScore W2002797576C121332964 @default.
- W2002797576 hasConceptScore W2002797576C126322002 @default.
- W2002797576 hasConceptScore W2002797576C138885662 @default.
- W2002797576 hasConceptScore W2002797576C140793950 @default.
- W2002797576 hasConceptScore W2002797576C147583825 @default.
- W2002797576 hasConceptScore W2002797576C152877465 @default.
- W2002797576 hasConceptScore W2002797576C160306043 @default.
- W2002797576 hasConceptScore W2002797576C170964787 @default.
- W2002797576 hasConceptScore W2002797576C3017965810 @default.
- W2002797576 hasConceptScore W2002797576C3020755666 @default.
- W2002797576 hasConceptScore W2002797576C33923547 @default.
- W2002797576 hasConceptScore W2002797576C40231798 @default.
- W2002797576 hasConceptScore W2002797576C41895202 @default.
- W2002797576 hasConceptScore W2002797576C52234038 @default.
- W2002797576 hasConceptScore W2002797576C62520636 @default.
- W2002797576 hasConceptScore W2002797576C71924100 @default.
- W2002797576 hasConceptScore W2002797576C86803240 @default.
- W2002797576 hasIssue "4" @default.
- W2002797576 hasLocation W20027975761 @default.
- W2002797576 hasOpenAccess W2002797576 @default.
- W2002797576 hasPrimaryLocation W20027975761 @default.
- W2002797576 hasRelatedWork W2061830582 @default.
- W2002797576 hasRelatedWork W2063131105 @default.
- W2002797576 hasRelatedWork W2074035187 @default.
- W2002797576 hasRelatedWork W2128591438 @default.
- W2002797576 hasRelatedWork W2185199014 @default.
- W2002797576 hasRelatedWork W2588114030 @default.
- W2002797576 hasRelatedWork W2802314681 @default.
- W2002797576 hasRelatedWork W2806525363 @default.
- W2002797576 hasRelatedWork W2817182027 @default.
- W2002797576 hasRelatedWork W2945779525 @default.
- W2002797576 hasVolume "76" @default.
- W2002797576 isParatext "false" @default.
- W2002797576 isRetracted "false" @default.
- W2002797576 magId "2002797576" @default.
- W2002797576 workType "article" @default.