标题
The use of machine learning methods to predict sperm quality in Holstein bulls
作者
关键词
-
出版物
THERIOGENOLOGY
Volume 197, Issue -, Pages 16-25
出版商
Elsevier BV
发表日期
2022-11-24
DOI
10.1016/j.theriogenology.2022.11.032
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- High temperature-humidity index compromises sperm quality and fertility of Holstein bulls in temperate climates
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- Review: Principles of maximizing bull semen production at genetic centers
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- Influence of bull age, ejaculate number, and season of collection on semen production and sperm motility parameters in Holstein Friesian bulls in a commercial artificial insemination centre
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- Effects of season on bull sperm quality in thawed samples in northern Spain
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- Machine learning algorithms for the prediction of conception success to a given insemination in lactating dairy cows
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- (2015) A. Al-Kanaan et al. Livestock Science
- Influences on semen traits used for selection of young AI boars
- (2014) Martin Schulze et al. ANIMAL REPRODUCTION SCIENCE
- Semen Parameters Can Be Predicted from Environmental Factors and Lifestyle Using Artificial Intelligence Methods1
- (2013) Jose L. Girela et al. BIOLOGY OF REPRODUCTION
- Predicting fertility from seminal traits: Performance of several parametric and non-parametric procedures
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- Scrotal insulation and its relationship to abnormal morphology, chromatin protamination and nuclear shape of spermatozoa in Holstein-Friesian and Belgian Blue bulls
- (2011) Mohammad Bozlur Rahman et al. THERIOGENOLOGY
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