Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
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 r of 0.624 in the model, and supplementation with the other muscles yielded an r 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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Source |
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http://dx.doi.org/10.1016/j.meatsci.2017.11.012 | DOI Listing |
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