International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

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 Volume 6, Issue 9 (September 2019), Pages: 48-53

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 Original Research Paper

 Title: Evaluation and prediction of semen parameters of breeding boars and their use in stock management

 Author(s): Krzysztof Tereszkiewicz 1, *, Kazimierz Pokrywka 2

 Affiliation(s):

 1Department of Computer Engineering in Management, Faculty of Management, Rzeszow University of Technology, Rzeszów, Poland
 2Polish Herbalists and Herb Doctors Association, State Higher Vocational School, Tarnów, Poland

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0001-5017-7646

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2019.09.007

 Abstract:

Artificial insemination constitutes the main method of pig breeding in Europe. According to literature, statistical models which allow prediction of productive capacity can be used as additional tools which may be helpful in making selection decisions concerning breeding boars. The aim of the research was to evaluate the influence of boar’s age, standardized daily growth rate, standardized meat content in the carcass, the number of nipples, the age when the boar starts to be used for breeding, the number of semen collections per month, and the interval between semen collections on selected qualitative and quantitative parameters of the semen and to calculate multiple regression equations, which would allow prediction of productive capacity of AI landrace boars. The material for the analysis comprised 47596 ejaculates obtained over the period 1995-2014 from 306 Polish Landrace boars. The obtained results show that semen parameters of the examined boars depend on physiological and organizational factors included in the analysis. It was observed that the following factors, measured with the number of produced semen doses, were of particular significance for the efficiency of use of the boars: boar’s age, the daily growth rate, meat content in the carcass, as well as the number of collections and the interval between collections. The conducted statistical analysis points to the possibility of predicting semen parameters accurately using regression analysis. The models are characterized by very high accuracy, which points to their potential for application. The calculated determination coefficients for the multiple regression equations assumed the R2 value of above 0.92. The highest value of the determination coefficient (R2 –0.99) was obtained for the percentage of sperm cells showing progressive motility. The calculated regression equations may be used in the management of the stock of breeding boars and when making selection decisions. 

 © 2019 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Boar, Semen quality, Prediction, Regression, Management

 Article History: Received 14 December 2018, Received in revised form 1 July 2019, Accepted 2 July 2019

 Acknowledgement:

No Acknowledgement.

 Compliance with ethical standards

 Conflict of interest:  The authors declare that they have no conflict of interest.

 Citation:

 Tereszkiewicz K and Pokrywka K (2019). Evaluation and prediction of semen parameters of breeding boars and their use in stock management. International Journal of Advanced and Applied Sciences, 6(9): 48-53

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 Figures

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 Tables

 Table 1 Table 2 Table 3

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