| dc.creator |
Bozkurt, YALÇIN |
|
| dc.creator |
OEZKAYA, Serkan |
|
| dc.creator |
KILIÇ, Birol |
|
| dc.date |
2008-12-31T22:00:00Z |
|
| dc.date.accessioned |
2020-10-06T11:22:12Z |
|
| dc.date.available |
2020-10-06T11:22:12Z |
|
| dc.identifier |
bff15c0a-62eb-4af7-b5a5-eef5d0337348 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/bff15c0a-62eb-4af7-b5a5-eef5d0337348/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/71019 |
|
| dc.description |
The objective of this study was to determine muscle colour of beef carcasses using digital image analysis. Fourteen beef carcasses were selected from a slaughterhouse. The data collected on these carcasses included colourmeter measurements and digital images and measurements of muscle colour (L*, a*, b* values) and muscle pH from longissimus muscle at 24 hours after slaughtering. The discrepancies between colourmeter and digital image analysis values of L*. a*, b* were large (25.6 +/- 3.37. 3.01 +/- 3.38 and 2.25 +/- 3.56, respectively). There were significant differences between L* values (P < 0.05) but there were non-significant differences between a* and b* values (P > 0.05). The correlation coefficient was found significant (P < 0.05) between pH and a* values (r=0 83). The results showed that prediction ability of digital image analysis was low for prediction of muscle colour. However, it was concluded that red value (a*) can be predicted by digital image analysis and there is a need for further studies in order to develop better techniques to use for prediction. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Comparison of Two Different Methods to Predict Meat Quality and Prediction Possibility Using Digital Image Analysis |
|
| dc.type |
info:eu-repo/semantics/article |
|