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Methodological validation of measuring Hanwoo hair cortisol concentration using bead beater and surgical scissors

  • Nejad, Jalil Ghassemi (College of Animal Life Sciences, Kangwon National University) ;
  • Ataallahi, Mohammad (College of Animal Life Sciences, Kangwon National University) ;
  • Park, Kyu-Hyun (College of Animal Life Sciences, Kangwon National University)
  • Received : 2018.11.22
  • Accepted : 2019.01.14
  • Published : 2019.01.31

Abstract

Different methodologies in hair cortisol extraction may alter the final output. Thus finding the standard methodology according to a laboratory facilities is pivotal. This study was carried out to validate the feasibility of two methods of grinding hair for cortisol extraction in Korean native (Hanwoo) cattle. Hair from nine cattle including mature cows, heifers, and calves were assigned to one of the following methods for grinding hair; 1) using bead beater (BB) and 2) using surgical scissors (SS). Hair samples (> 1 g) were harvested from forehead of each individual twice (first and second measurement) to validate the results. To improve the accuracy of the obtained data, each sample was duplicated into two wells during enzyme immunoassay (EIA) analysis. Overall comparison of hair cortisol concentration (HCC) showed that the data within the range (out of the range) of standards provided by the EIA kit were 88.9% (11.1%) and 66.7% (33.3%) for BB compared with SS, respectively. In the first measurement, application of BB was tended to show higher (p = 0.056) amount of HCC compared with SS. In the second measurement application of BB showed higher (p = 0.0028) amount of HCC compared with SS. Among the cattle, calves showed higher HCC using BB compared with SS (p < 0.05). Application of BB in hair grinding methodology for Hanwoo cattle may improve cortisol extraction in comparison to application of SS method, with more consistency. Thus, it would be the preferable method to use.

Keywords

Bead beater;Hair cortisol methodology;Hanwoo cattle;Surgical scissors

Acknowledgement

Grant : Livestock productivity change analysis with climate change

Supported by : Rural Development Administration, Kangwon National University

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