Heritability and Variance Component Estimates of Meat Quality in Japanese Quail (Coturnix coturnix japonica)

A comparison of 3 methods for variance component estimation to compute the heritability of meat quality characteristics (body weight, breast meat weight, breast yield, l, a, b, c, h, and ph) was performed using the methods of maximum likelihood (ML), restricted maximum likelihood (REML), and minimum variance quadratic unbiased estimator (MIVQUE). The parent population was set up at random from a closed population of Japanese quail (Coturnix coturnix japonica). Selection was not applied for any productive characteristics and no special care was taken to avoid inbreeding. After 12-h feed withdrawal, the birds were weighed and slaughtered at 35 days of age. Their carcasses were dissected. Then 24-h postmortem and breast meat (pectoralis major and pectoralis minor) weights (BRW) were measured. Ultimate pH values (pHu) of the left breast meat were measured with a pH meter (Hanna Instrument Model 8314) using a penetration electrode (FC-200) after 24 h post-mortem. Color measurements (brightness ´´l´´, redness ´´a´´, yellowness ´´b´´, chroma ´´c´´, and hue ´´h´´) of the left breast meat were carried out using a Minolta CM508d spectrocolorimeter connected to a computer. Heritabilities of meat quality characteristics estimated by maximum likelihood (ML), restricted maximum likelihood (REML) and minimum variance quadratic unbiased estimation (MIVQUE) ranged from moderate to high.
Anahtar Kelimeler:

Heritability, ML, REML, MIVQUE

Heritability and Variance Component Estimates of Meat Quality in Japanese Quail (Coturnix coturnix japonica)

A comparison of 3 methods for variance component estimation to compute the heritability of meat quality characteristics (body weight, breast meat weight, breast yield, l, a, b, c, h, and ph) was performed using the methods of maximum likelihood (ML), restricted maximum likelihood (REML), and minimum variance quadratic unbiased estimator (MIVQUE). The parent population was set up at random from a closed population of Japanese quail (Coturnix coturnix japonica). Selection was not applied for any productive characteristics and no special care was taken to avoid inbreeding. After 12-h feed withdrawal, the birds were weighed and slaughtered at 35 days of age. Their carcasses were dissected. Then 24-h postmortem and breast meat (pectoralis major and pectoralis minor) weights (BRW) were measured. Ultimate pH values (pHu) of the left breast meat were measured with a pH meter (Hanna Instrument Model 8314) using a penetration electrode (FC-200) after 24 h post-mortem. Color measurements (brightness ´´l´´, redness ´´a´´, yellowness ´´b´´, chroma ´´c´´, and hue ´´h´´) of the left breast meat were carried out using a Minolta CM508d spectrocolorimeter connected to a computer. Heritabilities of meat quality characteristics estimated by maximum likelihood (ML), restricted maximum likelihood (REML) and minimum variance quadratic unbiased estimation (MIVQUE) ranged from moderate to high.

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  • Hossain, S.S., Muttlak, H.A.: MIVQUE and REML estimators of variance components under proportionality condition. Biometrical J., 1998; 40: 845-854.
  • Falconer, D.S.: Introduction to Quantitative Genetics. 3‘“ edn., Longmans Green/John Wiley and Sons, Harlow, Essex, UKş\lew York, 1989; 248 -263.
  • Rao, C.R.: Estimation of variance and oovarianoe components- MlNQUE theory. J. Multivariate Anal., 1971; 1: 257 275.
  • LaMotte, L.R.: Locally best quadratic estimators of variance components. Technical Report 22, Department of Statistics, University of Kentucky. 1971.
  • Hofer, A.: Variance component estimation in animal breeding: a review. J. Anim. Breed. Genet., 1998; 115: 247-265.
  • Henderson, C.R.: Recent developments in variance and covariance estimation. J. Anim. Sci., 1986; 63: 208-216.
  • Hartley, H.0., Rao, J.N.K.: Maximum-likelihood estimation for the mixed analysis of varianoe model. Biometrika, 1967; 54: 93-108.
  • Patterson, H.D., Thompson, R.: Recovery of inter-block information when block sizes are unequal. Biometrika, 1971; 58: 545 554.
  • Meyer, K: Estimation of genetic parameters. Chapter 23 in Evolution and Animal Breeding.: Reviews on Molecular and Quantitative Approaches in Honor of A. Robertson, W.G. Hill and T.F.M. McKay, Eds., 1989; 161-167.
  • Fletcher, D.L.: Broiler breast meat color variation, pH, and texture. Poult. Sci., 1999; 78: 1323-1327.
  • Oğuz, İ., Akşit, M., Önenç, A., Gevrekçi, Y., Özdemir, D., Altan, Ö.: Genetic variability of meat quality characteristics in Japanese quail (Coturnix coturnixjaponica). Arch. Geflügelk., 2004; 68: 176- 181. In our study, heritabilities of meat quality characteristics were from moderate to high. ML, REML, and MIVQUE methods of variance component estimation can be used. These 3 methods are commonly used for estimating variance components. All of them could be used in animal science.
  • Thompson, J.M.: Meat quality. Proceedings of the 6th World Congress on Genetics Applied to Livestock Production, 1998; 25: 147-148 (Armidale, NSW, Australia).
  • Fletcher, D.L.: Poultry meat quality. World Poult. Sci. J., 2002; 58: 131-145.
  • TSE (Türk Standartları Enstitüsü): Hayvan yemleri-metabolik (çevirilebilir) enerji tayini (kimyasal metot), TS 9610, Ankara.
  • Abril, M., Campo, M.M., Önenç, A., Sanudo, C., Alberti, P., Negueruela, A.I.: Beef color evolution as a function of ultimate pH. Meat Sci., 2001; 58: 69-78.
  • CIE.: Colorimetry. 2nd edn. CIE Publication. No.15.2. Commission Internationale de l'Eclairage. Vienna. 1993.
  • Cochran, W.G.: Some consequences when the assumptions for the analysis of variance are not satisŞed. Biometrics, 1947; 3: 22-38.
  • Ibe, S.N., Hill, W.G.: Transformation of poultry egg production data to improve normality, homoscedascity and linearity of genotypic regression. J. Anim. Breed. Genet, 1988; 105: 231- 240.
  • Sokal, R.R., Rohlf, F.J.: Biometry. The Principles and Practice of Statistics in Biological Research. 2"d edn., W.H. Freeman and Company, New York. 1981.
  • Box; G.E.P., Cox, D.R.: An analysis of transformation. J. Royal Statist. Soc., 1964; 26: 211-246.
  • SAS Institute: “SAS user's guide” SAS Institute Inc. Cary, NC. 1996.
  • Graser, H.U., Smith, S.P., Tier, B.: A derivative-free approach for estimating variance components in animal models by restricted maximum likelihood. J. Anim. Sci., 1987; 64: 1362-1370.
Turkish Journal of Veterinary and Animal Sciences-Cover
  • ISSN: 1300-0128
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK