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Evaluation of whole pork belly qualitative and quantitative properties using selective belly muscle parameters.
Lee, Eun-A; Kang, Ji-Hoon; Cheong, Jin-Hyung; Koh, Kyung-Chul; Jeon, Woo-Min; Choe, Jee-Hwan; Hong, Ki-Chang; Kim, Jun-Mo.
Affiliation
  • Lee EA; Division of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Anam-ro 145, Sungbuk-gu, Seoul 02841, Republic of Korea.
  • Kang JH; Division of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Anam-ro 145, Sungbuk-gu, Seoul 02841, Republic of Korea.
  • Cheong JH; R&BD Center, Korea Institute for Animal Products Quality Evaluation, 9, Yongho 1-ro 46beon-gil, Gunposi, Gyeonggi-do 15871, Republic of Korea.
  • Koh KC; Korean Meat Research Institute, 6-1, Yongho 1-ro 2beon-gil, Gunposi, Gyeonggi-do 15871, Republic of Korea.
  • Jeon WM; Division of Animal Biotechnology & Resource, Sahmyook University, 815, Hwarang-ro, Nowon-gu, Seoul 01795, Republic of Korea.
  • Choe JH; Department of Animal Science and Technology, Chungnam National University, 99, Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea.
  • Hong KC; Division of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Anam-ro 145, Sungbuk-gu, Seoul 02841, Republic of Korea. Electronic address: kchong@korea.ac.kr.
  • Kim JM; Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, RDA, 1500, Kongjwipatjwi-ro, Wanju, Jeonbuk 55365, Republic of Korea. Electronic address: junmosss@korea.kr.
Meat Sci ; 137: 92-97, 2018 Mar.
Article in En | MEDLINE | ID: mdl-29154224
ABSTRACT
The objective of this study was to identify parameters for the evaluation of pork belly quality (composition) and quantity (volume) and to develop regression equations that predict properties of whole pork belly. Through an image analysis of 648 bellies, newly characterized pork belly parameters were developed for evaluating pork belly quality and quantity. Importantly, the estimated muscle volume showed high positive correlation with the whole belly volume and the whole belly muscle percentage (r=0.458, and 0.654, respectively). Section 7 was identified as the best section for the evaluation of pork belly based on the muscle area in every vertebra. A stepwise regression showed that cutaneous trunci muscle (CTM) had an r2 of 0.624 in the model, and supplementation with the other muscles yielded an r2 of 0.784. Therefore, we propose that a prediction equation could be developed for a certain area in the belly for the evaluation of pork belly quantity and quality. The results could be applied to select breeding stock using techniques such as ultrasound with the aim of producing hogs with large as well as lean bellies.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Abdominal Muscles / Sus scrofa / Red Meat Type of study: Diagnostic_studies / Prognostic_studies / Qualitative_research Limits: Animals Language: En Journal: Meat Sci Journal subject: CIENCIAS DA NUTRICAO Year: 2018 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Abdominal Muscles / Sus scrofa / Red Meat Type of study: Diagnostic_studies / Prognostic_studies / Qualitative_research Limits: Animals Language: En Journal: Meat Sci Journal subject: CIENCIAS DA NUTRICAO Year: 2018 Document type: Article
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