1
|
Johnson PL, McEwan JC, Hickey SM, Dodds KG, Hitchman S, Agnew MP, Bain WE, Newman SAN, Pickering NK, Craigie CR, Clarke SM. Potential of in-plant intramuscular fat predictions to enable sheep breeders to incorporate consumer preferences in breeding programmes. Meat Sci 2023; 199:109140. [PMID: 36822055 DOI: 10.1016/j.meatsci.2023.109140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 02/09/2023] [Accepted: 02/12/2023] [Indexed: 02/16/2023]
Abstract
The inclusion of eating quality traits in sheep genetic improvement programmes is desirable. Intramuscular fat (IMF) plays a key role in ensuring consumer satisfaction when eating lamb, but genetic progress for IMF is constrained by a lack of routine data collection. This study investigated the potential for IMF predictor traits to substitute for measured IMF in genetic improvement programmes. Carcass and predicted IMF (near-infrared estimated IMF and marbling score) data were available on 10,113 New Zealand lambs, 1678 of which also had measured chemical IMF on a slice of M. longissimus lumborum on which the predictions of IMF had been made. Genetic antagonisms were observed between carcass lean traits and IMF. The genetic correlation between the predictors and measured IMF approached one, indicating that predictors of IMF can be used in genetic improvement programmes. Through using selection indexes, simultaneous increases in IMF and the existing terminal selection index are possible, provided all traits are measured. This study highlights the importance and potential of predicted IMF to achieve genetic improvement in traits of importance to consumers.
Collapse
Affiliation(s)
- P L Johnson
- AgResearch, Invermay Agricultural Centre, Private Bag 50-034, Mosgiel 9053, New Zealand.
| | - J C McEwan
- AgResearch, Invermay Agricultural Centre, Private Bag 50-034, Mosgiel 9053, New Zealand
| | - S M Hickey
- AgResearch Ruakura Research Centre, 10 Bisley Road, Hamilton 3214, New Zealand
| | - K G Dodds
- AgResearch, Invermay Agricultural Centre, Private Bag 50-034, Mosgiel 9053, New Zealand
| | - S Hitchman
- AgResearch Grasslands, Palmerston North, 4410, New Zealand
| | - M P Agnew
- AgResearch Grasslands, Palmerston North, 4410, New Zealand
| | - W E Bain
- AgResearch, Invermay Agricultural Centre, Private Bag 50-034, Mosgiel 9053, New Zealand
| | - S-A N Newman
- AgResearch, Invermay Agricultural Centre, Private Bag 50-034, Mosgiel 9053, New Zealand
| | | | - C R Craigie
- AgResearch Lincoln, Springs Road, New Zealand
| | - S M Clarke
- AgResearch, Invermay Agricultural Centre, Private Bag 50-034, Mosgiel 9053, New Zealand
| |
Collapse
|
2
|
Dixit Y, Hitchman S, Hicks T, Lim P, Wong C, Holibar L, Gordon K, Loeffen M, Farouk M, Craigie C, Reis M. Non-invasive spectroscopic and imaging systems for prediction of beef quality in a meat processing pilot plant. Meat Sci 2021; 181:108410. [DOI: 10.1016/j.meatsci.2020.108410] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 11/23/2020] [Accepted: 12/10/2020] [Indexed: 11/28/2022]
|