The use of machine learning methods to predict sperm quality in Holstein bulls
Published 2022 View Full Article
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Title
The use of machine learning methods to predict sperm quality in Holstein bulls
Authors
Keywords
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Journal
THERIOGENOLOGY
Volume 197, Issue -, Pages 16-25
Publisher
Elsevier BV
Online
2022-11-24
DOI
10.1016/j.theriogenology.2022.11.032
References
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Related references
Note: Only part of the references are listed.- High temperature-humidity index compromises sperm quality and fertility of Holstein bulls in temperate climates
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- (2018) Edel M Murphy et al. JOURNAL OF ANIMAL SCIENCE
- Effects of season on bull sperm quality in thawed samples in northern Spain
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- (2015) K. Hempstalk et al. JOURNAL OF DAIRY SCIENCE
- Seasonal variation in sperm quality parameters in Swedish red dairy bulls used for artificial insemination
- (2015) S. Valeanu et al. Livestock Science
- Effects of heat stress on semen characteristics of Holstein bulls estimated on a continuous phenotypic and genetic scale
- (2015) A. Al-Kanaan et al. Livestock Science
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- (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
- (2013) M. Piles et al. Livestock Science
- Predicting seminal quality with artificial intelligence methods
- (2012) David Gil et al. EXPERT SYSTEMS WITH APPLICATIONS
- 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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