选择野猪的生育能力和精液质量——未来的方向。

W. Flowers
{"title":"选择野猪的生育能力和精液质量——未来的方向。","authors":"W. Flowers","doi":"10.1530/biosciprocs.18.0005","DOIUrl":null,"url":null,"abstract":"Critical needs for the swine industry in terms of boar fertility evaluations are validation of semen quality estimates with in vivo reproductive data; estimation of the relative fertility of boars; and elimination of sub-fertile ejaculates. Single sire matings are the best way to validate semen quality estimates with reproductive performance. Sampling about 20% of the population provides an accurate estimation of the variability among boars and should be sufficient for this purpose. In vitro tests that measure univariate characteristics of ejaculates including motility and morphology appear to be just as accurate as those that measure multivariate traits such as in vitro fertilization in terms of predicting boar fertility. Reasons for this observation may be related to how properties of sperm cells are influenced by the sow reproductive tract. Several seminal plasma proteins show strong correlations with boar fertility and hold potential for being developed into tests that can rank the relative fertility of boars. Almost 90% of the variation in boar fertility was explained when the proportion of motile and acrosome-reacted spermatozoa was combined with relative amounts of 28 kDa, pl 6.0 and 55 kDa, pl 4.5 seminal plasma proteins. Consequently, combining different complementary tests improves estimations of boar fertility. Motility estimates routinely performed in most A.I. centres are a reasonable technique for identification and elimination of sub-fertile ejaculates. However, the accuracy with which they currently are conducted within the swine industry needs improvement.","PeriodicalId":87420,"journal":{"name":"Society of Reproduction and Fertility supplement","volume":"66 1","pages":"67-78"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":"{\"title\":\"Selection for boar fertility and semen quality--the way ahead.\",\"authors\":\"W. Flowers\",\"doi\":\"10.1530/biosciprocs.18.0005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Critical needs for the swine industry in terms of boar fertility evaluations are validation of semen quality estimates with in vivo reproductive data; estimation of the relative fertility of boars; and elimination of sub-fertile ejaculates. Single sire matings are the best way to validate semen quality estimates with reproductive performance. Sampling about 20% of the population provides an accurate estimation of the variability among boars and should be sufficient for this purpose. In vitro tests that measure univariate characteristics of ejaculates including motility and morphology appear to be just as accurate as those that measure multivariate traits such as in vitro fertilization in terms of predicting boar fertility. Reasons for this observation may be related to how properties of sperm cells are influenced by the sow reproductive tract. Several seminal plasma proteins show strong correlations with boar fertility and hold potential for being developed into tests that can rank the relative fertility of boars. Almost 90% of the variation in boar fertility was explained when the proportion of motile and acrosome-reacted spermatozoa was combined with relative amounts of 28 kDa, pl 6.0 and 55 kDa, pl 4.5 seminal plasma proteins. Consequently, combining different complementary tests improves estimations of boar fertility. Motility estimates routinely performed in most A.I. centres are a reasonable technique for identification and elimination of sub-fertile ejaculates. However, the accuracy with which they currently are conducted within the swine industry needs improvement.\",\"PeriodicalId\":87420,\"journal\":{\"name\":\"Society of Reproduction and Fertility supplement\",\"volume\":\"66 1\",\"pages\":\"67-78\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"29\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Society of Reproduction and Fertility supplement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1530/biosciprocs.18.0005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Society of Reproduction and Fertility supplement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1530/biosciprocs.18.0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 29

摘要

猪产业在评估公猪生育能力方面的关键需求是用体内生殖数据验证精液质量估计;估计公猪的相对生育能力;以及消除亚生殖能力的射精。单父系交配是验证精液质量估计与繁殖性能的最佳方法。对大约20%的种群进行采样可以准确估计野猪的变异性,并且应该足以达到这一目的。在预测公猪生育能力方面,测量射精单变量特征(包括运动性和形态)的体外测试似乎与测量多变量特征(如体外受精)的测试一样准确。这种观察结果的原因可能与精子细胞的特性如何受到母猪生殖道的影响有关。一些精浆蛋白与公猪的生育能力有很强的相关性,有可能被开发成可以对公猪的相对生育能力进行排名的测试。当活动精子和顶体反应精子的比例与相对量的28kDa,pl 6.0和55kDa、pl 4.5精浆蛋白相结合时,几乎90%的公猪受精率变化得到了解释。因此,将不同的互补测试结合起来可以提高对公猪生育能力的估计。在大多数人工智能中心常规进行的运动能力评估是识别和消除亚生殖能力射精的合理技术。然而,它们目前在养猪业中进行的准确性需要提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Selection for boar fertility and semen quality--the way ahead.
Critical needs for the swine industry in terms of boar fertility evaluations are validation of semen quality estimates with in vivo reproductive data; estimation of the relative fertility of boars; and elimination of sub-fertile ejaculates. Single sire matings are the best way to validate semen quality estimates with reproductive performance. Sampling about 20% of the population provides an accurate estimation of the variability among boars and should be sufficient for this purpose. In vitro tests that measure univariate characteristics of ejaculates including motility and morphology appear to be just as accurate as those that measure multivariate traits such as in vitro fertilization in terms of predicting boar fertility. Reasons for this observation may be related to how properties of sperm cells are influenced by the sow reproductive tract. Several seminal plasma proteins show strong correlations with boar fertility and hold potential for being developed into tests that can rank the relative fertility of boars. Almost 90% of the variation in boar fertility was explained when the proportion of motile and acrosome-reacted spermatozoa was combined with relative amounts of 28 kDa, pl 6.0 and 55 kDa, pl 4.5 seminal plasma proteins. Consequently, combining different complementary tests improves estimations of boar fertility. Motility estimates routinely performed in most A.I. centres are a reasonable technique for identification and elimination of sub-fertile ejaculates. However, the accuracy with which they currently are conducted within the swine industry needs improvement.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Development of the pig placenta. Conceptus-uterus interactions in pigs: endometrial gene expression in response to estrogens and interferons from conceptuses. Temporal candidate gene expression patterns in the sow placenta during early gestation and the effect of maternal L-arginine supplementation. Genetic selection for lifetime reproductive performance. Global protein profiling of porcine cumulus cells in response to native oocyte secreted factors in vitro.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1