Prediction of the chemical body composition of Nellore and crossbreed bulls 1
Young Nellore and crossbreed bulls were comparatively slaughtered to generate equation models for predicting the chemical composition of the empty body and carcass from the chemical composition of the Hankins and Howe section (HH section; Hankins and Howe, 1946). Data were collected from 236 animals from different genetic groups: Nellore, one-half Canchim + one-half Nellore, one-half Angus + one-half Nellore, and one-half Simmental + one-half Nellore, with 48 baseline animals (BW range from 218 to 433 kg) and 188 animals finished in the feedlot (BW range from 356 to 618 kg). The chemical composition prediction equation model was developed for all genetic groups using stepwise regression analysis. Across all animals, the percentages of water and ether extract in the HH section were highly correlated (P < 0.001) with the percentages in the carcass (r = 0.911 and r = 0.901, respectively, for water content of the carcass [H2OC] and r = 0.921 and r = 0.921, respectively, for ether extract content of the carcass [EEC]) and empty body (r = 0.937 and r = 0.926, respectively, for water content of the empty body [H2OEB] and r = 0.935 and r = 0.939, respectively, for ether extract content of the empty body [EEEB]). The best prediction models were for the traits of empty body weight, H2OEB, EEEB, H2OC, and EEC. Determination coefficients for predicting the dependent variables obtained from the carcass composition were lower than those obtained from the empty body composition. It was concluded that the chemical composition of the empty body and the carcass can be predicted from the composition of the HH section, using a general equation for different genetic groups..
| Medienart: |
Artikel |
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| Erscheinungsjahr: |
2017 |
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| Erschienen: |
2017 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:95 |
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| Enthalten in: |
Journal of animal science - 95(2017), 9, Seite 3932 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
A Berndt [VerfasserIn] |
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| Links: |
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| doi: |
10.2527/jas2017.1484 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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OLC1996862103 |
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| 520 | |a Young Nellore and crossbreed bulls were comparatively slaughtered to generate equation models for predicting the chemical composition of the empty body and carcass from the chemical composition of the Hankins and Howe section (HH section; Hankins and Howe, 1946). Data were collected from 236 animals from different genetic groups: Nellore, one-half Canchim + one-half Nellore, one-half Angus + one-half Nellore, and one-half Simmental + one-half Nellore, with 48 baseline animals (BW range from 218 to 433 kg) and 188 animals finished in the feedlot (BW range from 356 to 618 kg). The chemical composition prediction equation model was developed for all genetic groups using stepwise regression analysis. Across all animals, the percentages of water and ether extract in the HH section were highly correlated (P < 0.001) with the percentages in the carcass (r = 0.911 and r = 0.901, respectively, for water content of the carcass [H2OC] and r = 0.921 and r = 0.921, respectively, for ether extract content of the carcass [EEC]) and empty body (r = 0.937 and r = 0.926, respectively, for water content of the empty body [H2OEB] and r = 0.935 and r = 0.939, respectively, for ether extract content of the empty body [EEEB]). The best prediction models were for the traits of empty body weight, H2OEB, EEEB, H2OC, and EEC. Determination coefficients for predicting the dependent variables obtained from the carcass composition were lower than those obtained from the empty body composition. It was concluded that the chemical composition of the empty body and the carcass can be predicted from the composition of the HH section, using a general equation for different genetic groups. | ||
| 650 | 4 | |a Animals | |
| 650 | 4 | |a Moisture content | |
| 650 | 4 | |a Chemical composition | |
| 650 | 4 | |a Mathematical models | |
| 650 | 4 | |a Body composition (biology) | |
| 650 | 4 | |a Dependent variables | |
| 650 | 4 | |a Water content | |
| 650 | 4 | |a Breeding of animals | |
| 650 | 4 | |a Comparative studies | |
| 650 | 4 | |a Cattle | |
| 650 | 4 | |a Body weight | |
| 650 | 4 | |a Prediction models | |
| 650 | 4 | |a Regression analysis | |
| 650 | 4 | |a Predictions | |
| 650 | 4 | |a Body composition | |
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| 700 | 0 | |a L S Sakamoto |4 oth | |
| 700 | 0 | |a M M de Alencar |4 oth | |
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