An Evaluation of Different Quail Varieties for the Heat Stress Resistance



Abstract Views
367

Downloads
310

Citations

Share

##plugins.themes.bootstrap3.article.sidebar##

Submitted Oct 26, 2021
Published Nov 23, 2021
10.24018/ejvetmed.2021.1.3.16

Abstract viewed = 367 times

Table of Contents

##plugins.themes.bootstrap3.article.main##

The aim of this study was to evaluate some biochemical variables under heat-stressed Japanese quail that have different plumage colors for detecting that variety of quail better adapted to heat stress. A total of 100 birds were used in this study. The 25 birds that belong to each four plumage color group were placed in 5-tiered including 3 compartments in each tier plastic cages with subdivided 5 repetitions according to their initial body weights. The statistical significance occurred in LDH (P<0.01). The highest LDH level was found in the Recessive white variety (25.43 mmol/L), followed by Wild type (23.78 mmol/L), Golden (12.87 mmol/L), and Tuxedo (12.71 mmol/L), respectively. The Recessive white group was different from the Golden and Tuxedo groups. According to the results of the current study, there was no significant difference was observed between the four different color varieties of Japanese quail regarding heat stress. However, when LDH is taken into account, it can be thought that the white color may be more sensitive to stress. In order to clarify exactly this situation, more studies that are detailed such as yield performance can be conducted on different quail species.

Keywords: Biochemical analysis, heat stress, plumage color, quail

References

  1. Gamal MKM, Adel AD, Osama GS, Walid S, Ahmed OA. Propolis alleviates the negative effects of heat stress on egg production, egg quality, physiological and immunological aspects of laying Japanese quail. PLoS ONE. 2019; 14(4): e0214839.
     Google Scholar
  2. Pu S, Usuda K, Nagaoka K, Gore A, Crews D, Watabane G. The relation between liver damage and reproduction in female Japanese quail (Coturnix japonica) exposed to high ambient temperature. Poultry Science. 2020; 99(9): 4586-4597.
     Google Scholar
  3. Roushdy EM, Zaglool AG, Hassan FAM. Thermal stress consequences on growth performance, immunological response, antioxidant status, and profitability of finishing broilers: transcriptomic profile change of stress-related genes. Tropical Animal Health and Production. 2020; 52: 3685-3696.
     Google Scholar
  4. Mahmoud BYF, Farahat GS, El-Full EA. Genetic and phenotypic correlations of body weight and shank length with some egg production-related traits in two Japanese quail genotypes differing in plumage colour. Egypt Poultry Science Journal. 2014; 34: 133-149.
     Google Scholar
  5. Nasr MAF, El-Tarabany MS, Toscano MJ. Effects of divergent selection for growth on egg quality traits in Japanese quail. Animal Production Science. 2016; 56: 1797-1802.
     Google Scholar
  6. Liu H, Zhang C. Effects of daidzein on messenger ribonucleic acid expression of gonadotropin receptors in chicken ovarian follicles. Poultry Science, 2008; 87: 541-545.
     Google Scholar
  7. Onagbesan O, Bruggeman V, Decuypere E. Intra-ovarian growth factors regulating ovarian function in avian species: a review. Animal Reproduction Science. 2009; 111: 121-140.
     Google Scholar
  8. Baykalir Y, Aslan S. Phenotypic correlations between egg quality traits, albumen pH and ovalbumin levels in four varieties of Japanese quail (Coturnix coturnix japonica). GSC Biological and Pharmaceutical Sciences. 2020; 10(3): 69-75.
     Google Scholar
  9. Tomkins M, Smith D. Should we continue to use the 75-g OGTT to diagnose diabetes?. Irish Journal of Medical Science. 2020; 189: 525-527.
     Google Scholar
  10. National Research Council. Nutrient Requirements of Poultry. 9th Edition. National Academy Press, Washington DC, 1994.
     Google Scholar
  11. Petrie A, Watson P. Statistics for Veterinary and Animal Science. 2nd Edition. Ames: Blackwell Publishing, 2006.
     Google Scholar
  12. Surwit RS, Schneider MS, Feinglos MN. Stress and diabetes mellitus. Diabetes Care. 1992; 15(10): 1413-1422.
     Google Scholar
  13. Jovanovic P, Zoric L, Stefanovic I, Dzunic B, Djordjevic-Jocic J, Radenkovic M, et al. Lactate dehydrogenase and oxidative stress activity in primary open-angle glaucoma aqueous humour. Bosnian Journal of Basic Medical Sciences. 2010; 10(1): 83-88.
     Google Scholar
  14. Wu J, You K, Chen C, Zhong H, Jiang Y, Mo H, et al. High pretreatment LDH predicts poor prognosis in hypopharyngeal cancer. Frontiers in Oncology. 2021; 11: 641682.
     Google Scholar