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Title: NONLINEAR PREDICTION OF CARCASS CUTOUT FOR A SWINE SIMULATION MODEL

Author
item Safranski, Timothy
item Harris, Dewey
item SCHINCKEL, ALLAN - PURDUE UNIVERSITY
item FORREST, JOHN - PURDUE UNIVERSITY
item CHEN, WAY - PURDUE UNIVERSITY
item WAGNER, J - PURDUE UNIVERSITY

Submitted to: Journal of Animal Science Supplement
Publication Type: Abstract Only
Publication Acceptance Date: 5/25/1995
Publication Date: N/A
Citation: N/A

Interpretive Summary: NA

Technical Abstract: Equations were developed to predict carcass cutout from empty body protein and lipid (EBPT and EBLP, respectively), the fundamental components of growth in a pork production simulation model. EBPT and EBLP were determined from 171 barrows and 180 gilts from seven genetic populations slaughtered at eight target live weights from 25 to 152 kg. Weight of empty body (EBWT), hot carcass and the four rough and four trimmed primal cuts were fitted to a step-down statistical model with EBPT, EBLP, and the two- and three-way interactions with each other, gender and genetic population. Remaining terms were significant at the P < .05 level or involved in a significant higher-order interaction. Prediction equations of the form Y = a EBPT**b + c EBLP**d were developed across lines for barrows and gilts both separately and combined. If a coefficient or exponent did not differ significantly from zero or one, respectively, it was fixed as zero or one. The equation with the highest R-square was chosen for use in the simulation model. Prediction equations tended to account for slightly less of the variation than the corresponding step- down statistical model. For barrows the final prediction equations were linear for EBPT and curvilinear for EBLP for all traits except EBWT and rough butt weight for which the reverse was most appropriate. Seven of the traits for gilts were linear with EBPT and curvilinear with EBLP. Trimmed loin and butt were linear in both EBPT and EBLP while rough butt was curvilinear with EBPT and linear with EBLP. The use of this form of equation for prediction of carcass cutout was determined to be acceptable with R-square ranging from .928 to .993 and .937 to .993 for gilts and barrows, respectively and average R-square of .962 and .959.