Effect of percoll density gradient centrifugation on semen quality of X- sperm enriched crossbred bull semen

作者
Deeksha Chaudhary,Mridula Sharma,Kamal Devlal
出处
期刊:The Indian Journal of Animal Reproduction 卷期号:44 (1): 56-60 被引量:1
标识
DOI:10.48165/ijar.2023.44.01.11
摘要

The present study was conducted to observe the effect of percoll density gradient centrifugation on quality of semen. Ejaculates were collected by AV method from Sahiwal bulls. X-sperm enrichment was done by percoll density gradient method i.e. 7 layers (70-10%). Centrifugation was done at 750 g (22-24°C) for 15 min. The pellets obtained were diluted in EYC medium. Semen quality was evaluated in fresh semen (Control), in pellet of normal centrifugation (Group I), supernatant of centrifugation in percoll density gradient (Group II) and pellet of centrifugation in percoll density gradient (Group III). To assess the quality of enriched semen pH, mass motility, progressive motility, live spermatozoa %, abnormal spermatozoa %, HOST % and intact acrosome % were evaluated. Number of progressively motile sperms in pellet of X- enriched semen were non-significantly increased and significantly (P<0.05) decreased in supernatant. The abnormal spermatozoa (%) were decreased in G III as compared to G II Live spermatozoa (%) were increased in enriched semen (pellet). Number of Intact sperms decreased significantly (P<0.05) in supernatant of percoll density gradient centrifuged Sahiwal semen. HOST responsive sperms number was not affected after percoll density gradient centrifugation. Thus, the semen quality of X sperm enriched semen by percoll density gradient method (7 layer 70%) was not affected hence it can be used to increase female calves’ birth after A.I.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
酷酷阑香发布了新的文献求助10
刚刚
zyf发布了新的文献求助20
刚刚
鱼刺鱼刺卡应助Shamare采纳,获得30
1秒前
Fandh发布了新的文献求助20
1秒前
NexusExplorer应助HH采纳,获得10
1秒前
1秒前
药007发布了新的文献求助10
1秒前
drli发布了新的文献求助10
1秒前
丘比特应助forever采纳,获得10
2秒前
2秒前
Lyric_完成签到,获得积分10
2秒前
3秒前
深情安青应助Levi采纳,获得10
3秒前
3秒前
扶摇发布了新的文献求助10
3秒前
4秒前
hele完成签到,获得积分10
5秒前
5秒前
丘比特应助清和采纳,获得10
6秒前
AAA完成签到,获得积分10
6秒前
苏州河发布了新的文献求助10
7秒前
7秒前
Khr1stINK发布了新的文献求助10
7秒前
hhhh发布了新的文献求助10
7秒前
充电宝应助疯子采纳,获得10
7秒前
隐形曼青应助1725665189采纳,获得10
8秒前
虚心萤发布了新的文献求助10
8秒前
zqt发布了新的文献求助10
9秒前
Nexus应助YS采纳,获得100
9秒前
EliasChan完成签到 ,获得积分10
9秒前
小白一枚完成签到 ,获得积分10
10秒前
10秒前
完美世界应助丑八怪采纳,获得30
10秒前
10秒前
核桃发布了新的文献求助10
11秒前
11秒前
11秒前
酷酷阑香完成签到,获得积分10
12秒前
Forsakce完成签到 ,获得积分10
12秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7582625
求助须知:如何正确求助?哪些是违规求助? 9161560
关于积分的说明 19603854
捐赠科研通 7164839
什么是DOI,文献DOI怎么找? 3266176
关于科研通互助平台的介绍 2431084
邀请新用户注册赠送积分活动 2257468