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Comparison of different cytologic staining techniques on Boer goat spermatozoa morphology and morphomety


Abd Wahab, Suliza Abd Wahab (2016) Comparison of different cytologic staining techniques on Boer goat spermatozoa morphology and morphomety. [Project Paper Report]


Sperm morphology is the most reliable parameter for predicting fertility whereas sperm morphometry value as an indicator of reproductive capacity in males. Visual observation has led to widely varying results due to numerous factors such as the use of different staining procedures and lack of standardization of staining techniques. Thus, this study was conducted to compare different cytology staining techniques and to identify the best staining methods for better semen evaluation. Seven semen samples were collected using a standardized electro ejaculator from Boer bucks at TPU UPM (n = 4), and Labu farms (n = 3). Each sample was primarily assessed using routine semen evaluation protocols and processed accordingly. The semen smears were stained using different stains namely Eosin-Nigrosin (EN), Giemsa (G), Diff-Quik (DQ) and Hematoxylin-Eosin (HE). The slides were examined and morphometric measurements of 50 randomly selected sperm in each stained slides were performed and compared. Morphometric analysis revealed the smallest values recorded in HE for measurements of the head. Results showed there are significant difference (p<0.05) of all the morphometric parameters between EN and HE and; DQ and HE. Higher values of head width and length recorded in all stains except HE. It was concluded that there were alteration of measurement in buck sperm morphology with different staining method used.

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Additional Metadata

Item Type: Project Paper Report
Call Number: FPV 2016 52
Chairman Supervisor: Dr. Intan Shameha binti Abdul Razak
Divisions: Faculty of Veterinary Medicine
Keywords: Spermatozoa; Staining; Morphology; Morphometry; Boer; Buck
Depositing User: Mas Norain Hashim
Date Deposited: 08 Oct 2020 07:33
Last Modified: 08 Oct 2020 07:33
URI: http://psasir.upm.edu.my/id/eprint/83646
Statistic Details: View Download Statistic

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