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Current IssueEditorial BoardOnline First ArticlesArchive

Research Article

volume 53 issue 12 (december 2019) : 1688-1693,   Doi: 10.18805/ijar.v0iOF.9149

Prediction of relationships between pork color and muscular texture traits for entrepreneurial decisions 

T
Tae Wan Kim
I
Il-Suk Kim
J
Jeongim Ha
S
Seul Gi Kwon
J
Jung Hye Hwang
D
Da Hye Park
S
Sam Woong Kim
C
Chul Wook Kim
1Swine Science and Technology Center, Gyeongnam National University of Science & Technology, Jinju-52725, South Korea.
Cite article:- Kim Wan Tae, Kim Il-Suk, Ha Jeongim, Kwon Gi Seul, Hwang Hye Jung, Park Hye Da, Kim Woong Sam, Kim Wook Chul (2017). Prediction of relationships between pork color and muscular texture traits for entrepreneurial decisions. Indian Journal of Animal Research. 53(12): 1688-1693. doi: 10.18805/ijar.v0iOF.9149.

ABSTRACT

This study was done to examine correlation between pork color and texture traits for entrepreneurial decision-making. Most traits between both factors had significant correlations, but presented low correlation values. The first correlation in the results of canonical correlation analysis (CCA) maintained relatively high values of 47.9. The value was positive and negative contributions for hardness and gumminess, respectively. Loadings of color traits were more influenced by lightness and whiteness. However, influence of variance in texture trait showed only 7.6% with color trait. The result indicates that there is no direct influence between pork color and texture, but an indirect influence. Therefore, we suggest that consumers and distributors as well as producers apply indirect criteria rather than directly assessing texture quality by pork color.

REFERENCES

  1. Adzitey, F. and Nurul, H. (2011). Pale soft exudative (PSE) and dark firm dry (DFD) meats: causes and measures to reduce these incidences. International Food Research Journal, 18: 11-20.
  2. Akbas, Y. and Takma, C. (2005). Canonical correlation analysis for studying the relationship between egg production traits and body weight, egg weight and age at sexual maturity in layers. Czech Journal of Animal Science, 50: 163-168.
  3. AMSA. (2012). ‘Meat color measurement guidelines’. (American Meat Science Association: Illinois, USA).
  4. Cankaya, S. and Kayaalp, G.T. (2007). Estimation of relationship between live weights and some body measurements in German farm × hair crossbred by canonical correlation analysis. Hayvansal Uretim, 48: 27-32. 
  5. Jaiswal, U.C., Poonia, J.S. and Kumar, J. (1995). Canonical correlation analysis for studying relationship among several traits: An example of calculation and interpretation. Indian Journal of Animal Science, 65: 765-769. 
  6. Jeong, D.W., Choi, Y.M., Lee, S.H., Choe, J.H., Hong, K.C., Park, H.C. and Kim, B.C. (2010). Correlations of trained panel sensory values of cooked pork with fatty acid composition, muscle fiber type, and pork quality characteristics in Berkshire pigs. Meat Science, 86: 607–615.
  7. Kabir, A, Merrill, R.D., Shamim, A.A., Klemn, R.D.W., Labrique, A.B., Christian, P., West, Jr. K.P. and Nasser, M. (2014). Canonical correlation analysis of infant’s size at birth and maternal factors: A study in rural Northwest Bangladesh. PLOS ONE, 9: 1-8.
  8. Kim, T.W., Kim, C.W., Yang, M.R., No, G.R., Kim, S.W. and Kim, I.S. (2016a). Pork Quality traits according to postmortem pH and temperature in Berkshire. Korean J. Food Sci. An., 36: 29-36.
  9. Kim, T.W., Kim, I.S., Ha, J.I, Kwon, S. G., Hwang, J.H., Park, D. H., Kang, D.G., Kim, S.W. and Kim, C.W. (2016b). Comparison among meat quality classes according to the criteria of post-mortem pH24hr, drip loss and color in Berkshire pigs. Indian Journal of Animal Research, 51: 182-186
  10. Kim, T.W., Kim, I.S., Kwon, S. G., Hwang, J.H., Park, D. H., Kang, D.G., Ha, J.I. Kim, S.W. and Kim, C.W. (2017). Identification od relationship between pork colour and physicochemical traits in American Berkshire by canonical correlation analyses. Animal Production Science. 57: 1179-1185
  11. Laessig, R.E. and Duckett, E.J. (1979). Canonical correlation analysis: potential for environmental health planning. American Journal of Public Health, 69: 353-359.
  12. Lindahl, G., Lundstom, K. and Tornverg, E. (2001). Contribution of pigment content, myoglobin forms and internal reflectance to the colour of pork loin and ham from pure breed pigs. Meat Science, 59: 141-161.
  13. Mendes, M. and Akkartal, E. (2007) Canonical correlation analysis for studying the relationships between pre- and post-slaughter traits of Ross 308 broiler chickens. Arch. Geflugelk. 71: 267–271.
  14. Radovic, C., Petrovic, M., Parunovic, N., Radojkovic, D., Savic, R., Stanisic N. and Gogic, M. (2015). Carcass and pork quality traits of indigenous pure breeds (Mangalitsa, Moravka) and their crossbreads. Indian Journal of Animal Research, DOI: 10.18805/    ijar.7496.
  15. Sahin, M., Cankaya, S. and Ceyhan, A. (2011). Canonical correlation analysis for estimation of relationship between some traits measured at weaning time and six-month age in merino lambs. Bulgarian Journal of Agricultural Science, 17: 680-686. 
  16. SAS. (2009). ‘SAS/STAT User’s Guide’. (SAS Institute Inc: Cary, NC).
  17. Tahtali, Y., Cankaya, S. and Ulutas, Z. (2012). Canonical correlation analysis for estimation of relationships between some traits measured at birth and weaning time in Karayaka lambs. Kafkas Universitesi Veteriner Fakultesi Dergisi, 18: 839-844.
  18. Thomas, P.R. and Chakravarty, A.K. (2000). Canonical correlation analysis for studying the association of breeding efficiency and breeding values with growth and reproductive traits of Murrah buffaloes. Indian Journal of Animal Research, 34: 100-103.
  19. Tomovic, V.M., Zlender, B.A., Jokanovic, M.R., Tomovic, M.S., Sojic, B.V., Skaljac, S.B., Tasic, T.A., Ikonic, P.M., Soso, M.M. and Hromis, N.M. (2014). Technological quality and composition of the M. semimembranosus and M. longissimus dorsi from Large White and Landrace pigs. Agricultural and Food Science, 23: 9-18.
  20. Valkova, V., Salakova, A., Buchtova, H. and Tremlova, B. (2007). Chemical, instrumental and sensory characteristics of cooked pork ham. Meat Sci. 77: 608-615.
  21. Warner, R.D., Kauffman, R.G. and Russell, R.L. (1993). Quality attributes of major porcine muscles: A comparison with the Longissimus lumborum. Meat Science, 33: 359-372.
  22. Yaprak, M., Koycegiz, F., Kutluca, M., Emsen, E. and Ockerman, H.W. (2008). Canonical correlation analysis of body measurements, growth performance and carcass traits of red Karaman lambs, Journal of Animal and Veterinary Advances, 7: 130-136. 
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Indian Journal of Animal Research
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    Research Article

    volume 53 issue 12 (december 2019) : 1688-1693,   Doi: 10.18805/ijar.v0iOF.9149

    Prediction of relationships between pork color and muscular texture traits for entrepreneurial decisions 

    T
    Tae Wan Kim
    I
    Il-Suk Kim
    J
    Jeongim Ha
    S
    Seul Gi Kwon
    J
    Jung Hye Hwang
    D
    Da Hye Park
    S
    Sam Woong Kim
    C
    Chul Wook Kim
    1Swine Science and Technology Center, Gyeongnam National University of Science & Technology, Jinju-52725, South Korea.
    Cite article:- Kim Wan Tae, Kim Il-Suk, Ha Jeongim, Kwon Gi Seul, Hwang Hye Jung, Park Hye Da, Kim Woong Sam, Kim Wook Chul (2017). Prediction of relationships between pork color and muscular texture traits for entrepreneurial decisions. Indian Journal of Animal Research. 53(12): 1688-1693. doi: 10.18805/ijar.v0iOF.9149.

    ABSTRACT

    This study was done to examine correlation between pork color and texture traits for entrepreneurial decision-making. Most traits between both factors had significant correlations, but presented low correlation values. The first correlation in the results of canonical correlation analysis (CCA) maintained relatively high values of 47.9. The value was positive and negative contributions for hardness and gumminess, respectively. Loadings of color traits were more influenced by lightness and whiteness. However, influence of variance in texture trait showed only 7.6% with color trait. The result indicates that there is no direct influence between pork color and texture, but an indirect influence. Therefore, we suggest that consumers and distributors as well as producers apply indirect criteria rather than directly assessing texture quality by pork color.

    REFERENCES

    1. Adzitey, F. and Nurul, H. (2011). Pale soft exudative (PSE) and dark firm dry (DFD) meats: causes and measures to reduce these incidences. International Food Research Journal, 18: 11-20.
    2. Akbas, Y. and Takma, C. (2005). Canonical correlation analysis for studying the relationship between egg production traits and body weight, egg weight and age at sexual maturity in layers. Czech Journal of Animal Science, 50: 163-168.
    3. AMSA. (2012). ‘Meat color measurement guidelines’. (American Meat Science Association: Illinois, USA).
    4. Cankaya, S. and Kayaalp, G.T. (2007). Estimation of relationship between live weights and some body measurements in German farm × hair crossbred by canonical correlation analysis. Hayvansal Uretim, 48: 27-32. 
    5. Jaiswal, U.C., Poonia, J.S. and Kumar, J. (1995). Canonical correlation analysis for studying relationship among several traits: An example of calculation and interpretation. Indian Journal of Animal Science, 65: 765-769. 
    6. Jeong, D.W., Choi, Y.M., Lee, S.H., Choe, J.H., Hong, K.C., Park, H.C. and Kim, B.C. (2010). Correlations of trained panel sensory values of cooked pork with fatty acid composition, muscle fiber type, and pork quality characteristics in Berkshire pigs. Meat Science, 86: 607–615.
    7. Kabir, A, Merrill, R.D., Shamim, A.A., Klemn, R.D.W., Labrique, A.B., Christian, P., West, Jr. K.P. and Nasser, M. (2014). Canonical correlation analysis of infant’s size at birth and maternal factors: A study in rural Northwest Bangladesh. PLOS ONE, 9: 1-8.
    8. Kim, T.W., Kim, C.W., Yang, M.R., No, G.R., Kim, S.W. and Kim, I.S. (2016a). Pork Quality traits according to postmortem pH and temperature in Berkshire. Korean J. Food Sci. An., 36: 29-36.
    9. Kim, T.W., Kim, I.S., Ha, J.I, Kwon, S. G., Hwang, J.H., Park, D. H., Kang, D.G., Kim, S.W. and Kim, C.W. (2016b). Comparison among meat quality classes according to the criteria of post-mortem pH24hr, drip loss and color in Berkshire pigs. Indian Journal of Animal Research, 51: 182-186
    10. Kim, T.W., Kim, I.S., Kwon, S. G., Hwang, J.H., Park, D. H., Kang, D.G., Ha, J.I. Kim, S.W. and Kim, C.W. (2017). Identification od relationship between pork colour and physicochemical traits in American Berkshire by canonical correlation analyses. Animal Production Science. 57: 1179-1185
    11. Laessig, R.E. and Duckett, E.J. (1979). Canonical correlation analysis: potential for environmental health planning. American Journal of Public Health, 69: 353-359.
    12. Lindahl, G., Lundstom, K. and Tornverg, E. (2001). Contribution of pigment content, myoglobin forms and internal reflectance to the colour of pork loin and ham from pure breed pigs. Meat Science, 59: 141-161.
    13. Mendes, M. and Akkartal, E. (2007) Canonical correlation analysis for studying the relationships between pre- and post-slaughter traits of Ross 308 broiler chickens. Arch. Geflugelk. 71: 267–271.
    14. Radovic, C., Petrovic, M., Parunovic, N., Radojkovic, D., Savic, R., Stanisic N. and Gogic, M. (2015). Carcass and pork quality traits of indigenous pure breeds (Mangalitsa, Moravka) and their crossbreads. Indian Journal of Animal Research, DOI: 10.18805/    ijar.7496.
    15. Sahin, M., Cankaya, S. and Ceyhan, A. (2011). Canonical correlation analysis for estimation of relationship between some traits measured at weaning time and six-month age in merino lambs. Bulgarian Journal of Agricultural Science, 17: 680-686. 
    16. SAS. (2009). ‘SAS/STAT User’s Guide’. (SAS Institute Inc: Cary, NC).
    17. Tahtali, Y., Cankaya, S. and Ulutas, Z. (2012). Canonical correlation analysis for estimation of relationships between some traits measured at birth and weaning time in Karayaka lambs. Kafkas Universitesi Veteriner Fakultesi Dergisi, 18: 839-844.
    18. Thomas, P.R. and Chakravarty, A.K. (2000). Canonical correlation analysis for studying the association of breeding efficiency and breeding values with growth and reproductive traits of Murrah buffaloes. Indian Journal of Animal Research, 34: 100-103.
    19. Tomovic, V.M., Zlender, B.A., Jokanovic, M.R., Tomovic, M.S., Sojic, B.V., Skaljac, S.B., Tasic, T.A., Ikonic, P.M., Soso, M.M. and Hromis, N.M. (2014). Technological quality and composition of the M. semimembranosus and M. longissimus dorsi from Large White and Landrace pigs. Agricultural and Food Science, 23: 9-18.
    20. Valkova, V., Salakova, A., Buchtova, H. and Tremlova, B. (2007). Chemical, instrumental and sensory characteristics of cooked pork ham. Meat Sci. 77: 608-615.
    21. Warner, R.D., Kauffman, R.G. and Russell, R.L. (1993). Quality attributes of major porcine muscles: A comparison with the Longissimus lumborum. Meat Science, 33: 359-372.
    22. Yaprak, M., Koycegiz, F., Kutluca, M., Emsen, E. and Ockerman, H.W. (2008). Canonical correlation analysis of body measurements, growth performance and carcass traits of red Karaman lambs, Journal of Animal and Veterinary Advances, 7: 130-136. 
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