PDF《In vitro Fertilization》

1417 INTRODUCTION Artificial insemination (AI) has been widely used in the swine industry, and the quality of spermatozoa is the most critical factor for successful AI.

The assessment of spermatozoa quality before AI has been performed by assessing a number of basic parameters based on sperm concentration, motility, and morphology (World Health Organization, 1992;

Correa and Zavos, 1994), and most of the AI centers in Korea rely on these primary parameters for determination of sperm quality. However, many studies have shown the limitations of these primary parameters in the assessment of sperm quality. Although these parameters have been regarded as criteria of normal spermatogenesis and fertilization potential (Saacke, 1983;

Amann, 1989), Open Access Asian Australas. J. Anim. Sci. Vol. 27, No.

10 : 1417-1425 October

2014 http://dx.doi.org/10.5713/ajas.2014.14206 www.ajas.info pISSN 1011-2367 eISSN 1976-5517 Pig Spermatozoa Defect in Acrosome Formation Caused Poor Motion Parameters and Fertilization Failure through Artificial Insemination and In vitro Fertilization Won Young Lee, Ran Lee, Hee Chan Kim, Kyung Hoon Lee, Xiang Shun Cui1 , Nam Hyung Kim1 , Sang Hyun Kim2 , Il Joo Lee2 , Sang Jun Uhm3 , Min Jung Yoon4 , and Hyuk Song* Division of Food Bioscience, RIBH, College of Biomedical and Health Sciences, Konkuk University, Chung-ju 380-701, Korea ABSTRACT: The selection of morphologically normal spermatozoa is critical to obtain high breeding performances in boar breeding farms and artificial insemination (AI) centers. Parameters for the selection of semen mainly include total sperm motility, concentration, and morphology. However, these primary parameters are often not reliable for discriminating between normal and abnormal, non- fertilizable spermatozoa. The present study was designed to compare the motion characteristics, fertilization ability using in vitro fertilization (IVF), and acrosome formation of the semen from boars having low (boar number 2012) and normal (boar number

2004 and 2023) breeding performances. The ultimate goal was to identify additional simple and easy criteria for the selection of normal sperm. There was no significant difference between boar

2004 and boar

2023 sperm total motility in computer assisted sperm analysis. However, boar number

2012 semen presented a significantly reduced population of rapid moving spermatozoa and an increased population of slow moving spermatozoa compared to boar numbers

2004 and 2023. Analysis of detailed motion characteristics revealed that sperm from boar number

2012 had significantly reduced motility in progressiveness, average path velocity, straight-line velocity (VSL), curvilinear velocity (VCL), straightness, and linearity. The assessment of the fertilizing ability by IVF also showed that sperm from boar number

2012 showed a fertility rate of 3.4%, whereas sperm from boar number

2023 had a fertility rate of 75.45%. Interestingly, most of the sperm nuclei were found on the peripheral area of the oocytes, suggesting that the sperm from boar number

2012 lacked penetration ability into the oocyte zonapellucida. The acrosome formation analysis using Pisum sativum agglutinin staining demonstrated that the sperm from boar number

2012 had a defect in acrosome formation. Consequently, primary parameters for selecting semen before AI such as motility are not sufficient to select normal and fertilizable spermatozoa. In conclusion, the present study suggests that the acrosome staining and detailed motion characteristics such as progressiveness, VCL, and VSL should be included in determining semen quality together with primary parameters for successful AI and high breeding performance in the swine industry. (Key Words: Boar, Sperm, Motion Parameters, In vitro Fertilization, Acrosome Defect) Copyright ?