Predicting carcass chemical composition of young Nellore bulls
The direct determination of carcass composition as experimental routine, despite being the most accurate method, is time consuming, laborious and expensive. Indirect methods have been developed to estimate on quick, simple, economical and reliable ways empty body composition of beef cattle. This stu...
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| Format: | Article |
| Language: | English |
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Instituto de Zootecnia
2015-02-01
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| Series: | Boletim de Indústria Animal |
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| Online Access: | http://10.153.18.28/index.php/bia/article/view/407 |
| _version_ | 1797744706778562560 |
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| author | Luiz Henrique Oliveira Silva Sarah Figueiredo Martins Bonilha Joslaine Noely dos Santos Gonçalves Cyrillo Maria Eugênia Zerlotti Mercadante Renata Helena Branco Enilson Geraldo Ribeiro |
| author_facet | Luiz Henrique Oliveira Silva Sarah Figueiredo Martins Bonilha Joslaine Noely dos Santos Gonçalves Cyrillo Maria Eugênia Zerlotti Mercadante Renata Helena Branco Enilson Geraldo Ribeiro |
| author_sort | Luiz Henrique Oliveira Silva |
| collection | DOAJ |
| description | The direct determination of carcass composition as experimental routine, despite being the most accurate method, is time consuming, laborious and expensive. Indirect methods have been developed to estimate on quick, simple, economical and reliable ways empty body composition of beef cattle. This study was performed with the objective of developing accurate regression equations to predict carcass composition of Nellore animals using 9-10-11th ribs chemical composition and performance measures as independent variables. Sixty-seven non-castrated Nellore bulls were randomly selected for finishing period in two consecutive years (2008 and 2009) and were finished in individual pens for approximately 100 days, until they reached four millimeters of subcutaneous fat thickness over Longissimus muscle. They were slaughtered at 540 days of average age and body weight at slaughter (BW) and carcass weight (CW) were taken. The 9-10-11th ribs cut was obtained according to Hankins and Howe (1946) and weighted (RW). The carcass composition was obtained after grinding, homogenizing, sampling and analyzing the left side of the carcass. Chemical analysis of 9-10-11th ribs cut and carcass were carried for protein (RP and CP), fat (RF and CF), ashes (RA and CA) and water (RWt and CWt). Stepwise and Mallow€™s Cp options were used in PROC GLMSELECT (SAS Inst., Inc., Cary, NC) to determine significant (P<0.05) variables to be included in regression equations. Regression goodness of fit was assessed by root-mean-square error (RMSE) and determination coefficient (R²). The best regression equations found to predict each carcass chemical component were (all the variables expressed in kg): CWt = 4.295 - (0.159 x BW) + (0.788 x CW) - (22.644 x RF) + (12.273 x RWt) (R² = 0.956, RMSE = 4.215 kg); CF = -2.563 + (0.112 x BW) + (24.167 x RF) - (9.39 x RWt) (R² = 0.781, RMSE = 5.044); CP = -0.719 + (0.143 x BW) - (5.575 x RW) + (16.913 x RP) (R² = 0.706, RMSE = 3.952 kg); and CA = -4.141 + (0.046 x BW) (R² = 0.629, RMSE = 1.825 kg). Accurate equations were found to predict carcass water, protein and fat (R2>0.7). For carcass ash, the best equation found had determination coefficient (R2 = 0.629) close to 0.7, indicating that it can be used to estimate empty body ash with reasonable accuracy. Body weight is very important as predictor, being included as independent variable in equations for estimating all carcass chemical components. Estimation equations can be used to predict satisfactorily carcass chemical components of Nellore bulls. |
| first_indexed | 2024-03-12T15:14:15Z |
| format | Article |
| id | doaj.art-9cad20ce18c54e0eb38c0f38d45c88fd |
| institution | Directory Open Access Journal |
| issn | 1981-4100 |
| language | English |
| last_indexed | 2024-03-12T15:14:15Z |
| publishDate | 2015-02-01 |
| publisher | Instituto de Zootecnia |
| record_format | Article |
| series | Boletim de Indústria Animal |
| spelling | doaj.art-9cad20ce18c54e0eb38c0f38d45c88fd2023-08-11T17:41:16ZengInstituto de ZootecniaBoletim de Indústria Animal1981-41002015-02-0171Predicting carcass chemical composition of young Nellore bullsLuiz Henrique Oliveira SilvaSarah Figueiredo Martins BonilhaJoslaine Noely dos Santos Gonçalves CyrilloMaria Eugênia Zerlotti MercadanteRenata Helena BrancoEnilson Geraldo RibeiroThe direct determination of carcass composition as experimental routine, despite being the most accurate method, is time consuming, laborious and expensive. Indirect methods have been developed to estimate on quick, simple, economical and reliable ways empty body composition of beef cattle. This study was performed with the objective of developing accurate regression equations to predict carcass composition of Nellore animals using 9-10-11th ribs chemical composition and performance measures as independent variables. Sixty-seven non-castrated Nellore bulls were randomly selected for finishing period in two consecutive years (2008 and 2009) and were finished in individual pens for approximately 100 days, until they reached four millimeters of subcutaneous fat thickness over Longissimus muscle. They were slaughtered at 540 days of average age and body weight at slaughter (BW) and carcass weight (CW) were taken. The 9-10-11th ribs cut was obtained according to Hankins and Howe (1946) and weighted (RW). The carcass composition was obtained after grinding, homogenizing, sampling and analyzing the left side of the carcass. Chemical analysis of 9-10-11th ribs cut and carcass were carried for protein (RP and CP), fat (RF and CF), ashes (RA and CA) and water (RWt and CWt). Stepwise and Mallow€™s Cp options were used in PROC GLMSELECT (SAS Inst., Inc., Cary, NC) to determine significant (P<0.05) variables to be included in regression equations. Regression goodness of fit was assessed by root-mean-square error (RMSE) and determination coefficient (R²). The best regression equations found to predict each carcass chemical component were (all the variables expressed in kg): CWt = 4.295 - (0.159 x BW) + (0.788 x CW) - (22.644 x RF) + (12.273 x RWt) (R² = 0.956, RMSE = 4.215 kg); CF = -2.563 + (0.112 x BW) + (24.167 x RF) - (9.39 x RWt) (R² = 0.781, RMSE = 5.044); CP = -0.719 + (0.143 x BW) - (5.575 x RW) + (16.913 x RP) (R² = 0.706, RMSE = 3.952 kg); and CA = -4.141 + (0.046 x BW) (R² = 0.629, RMSE = 1.825 kg). Accurate equations were found to predict carcass water, protein and fat (R2>0.7). For carcass ash, the best equation found had determination coefficient (R2 = 0.629) close to 0.7, indicating that it can be used to estimate empty body ash with reasonable accuracy. Body weight is very important as predictor, being included as independent variable in equations for estimating all carcass chemical components. Estimation equations can be used to predict satisfactorily carcass chemical components of Nellore bulls.http://10.153.18.28/index.php/bia/article/view/407beef cattlefeedlotindirect determination |
| spellingShingle | Luiz Henrique Oliveira Silva Sarah Figueiredo Martins Bonilha Joslaine Noely dos Santos Gonçalves Cyrillo Maria Eugênia Zerlotti Mercadante Renata Helena Branco Enilson Geraldo Ribeiro Predicting carcass chemical composition of young Nellore bulls Boletim de Indústria Animal beef cattle feedlot indirect determination |
| title | Predicting carcass chemical composition of young Nellore bulls |
| title_full | Predicting carcass chemical composition of young Nellore bulls |
| title_fullStr | Predicting carcass chemical composition of young Nellore bulls |
| title_full_unstemmed | Predicting carcass chemical composition of young Nellore bulls |
| title_short | Predicting carcass chemical composition of young Nellore bulls |
| title_sort | predicting carcass chemical composition of young nellore bulls |
| topic | beef cattle feedlot indirect determination |
| url | http://10.153.18.28/index.php/bia/article/view/407 |
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