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Optimizing Bull Semen Cryopreservation Media Using Multivariate Statistics Approaches
by
Sharafi, Mohsen
, Benson, James D.
, Mokhtassi-Bidgoli, Ali
in
Algorithms
/ Analysis
/ Antioxidants
/ bull diversity
/ Cryopreservation
/ Cyclodextrins
/ Dairy cattle
/ Dairy industry
/ data collection
/ Design optimization
/ egg yolk
/ ethylene glycol
/ Fertility
/ Fructose
/ glutathione
/ Glycerin
/ Glycerol
/ media optimization
/ milk
/ modeling
/ Monte Carlo method
/ Monte Carlo simulation
/ Morphology
/ Motility
/ multivariate analysis
/ nerve growth factor
/ pathways
/ post-thaw fertility
/ protective effect
/ Reproductive technologies
/ semen quality
/ Sperm
/ Statistical analysis
/ Statistics
/ Structural equation modeling
/ structural equation modelling
/ Variables
2023
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Optimizing Bull Semen Cryopreservation Media Using Multivariate Statistics Approaches
by
Sharafi, Mohsen
, Benson, James D.
, Mokhtassi-Bidgoli, Ali
in
Algorithms
/ Analysis
/ Antioxidants
/ bull diversity
/ Cryopreservation
/ Cyclodextrins
/ Dairy cattle
/ Dairy industry
/ data collection
/ Design optimization
/ egg yolk
/ ethylene glycol
/ Fertility
/ Fructose
/ glutathione
/ Glycerin
/ Glycerol
/ media optimization
/ milk
/ modeling
/ Monte Carlo method
/ Monte Carlo simulation
/ Morphology
/ Motility
/ multivariate analysis
/ nerve growth factor
/ pathways
/ post-thaw fertility
/ protective effect
/ Reproductive technologies
/ semen quality
/ Sperm
/ Statistical analysis
/ Statistics
/ Structural equation modeling
/ structural equation modelling
/ Variables
2023
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Do you wish to request the book?
Optimizing Bull Semen Cryopreservation Media Using Multivariate Statistics Approaches
by
Sharafi, Mohsen
, Benson, James D.
, Mokhtassi-Bidgoli, Ali
in
Algorithms
/ Analysis
/ Antioxidants
/ bull diversity
/ Cryopreservation
/ Cyclodextrins
/ Dairy cattle
/ Dairy industry
/ data collection
/ Design optimization
/ egg yolk
/ ethylene glycol
/ Fertility
/ Fructose
/ glutathione
/ Glycerin
/ Glycerol
/ media optimization
/ milk
/ modeling
/ Monte Carlo method
/ Monte Carlo simulation
/ Morphology
/ Motility
/ multivariate analysis
/ nerve growth factor
/ pathways
/ post-thaw fertility
/ protective effect
/ Reproductive technologies
/ semen quality
/ Sperm
/ Statistical analysis
/ Statistics
/ Structural equation modeling
/ structural equation modelling
/ Variables
2023
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Optimizing Bull Semen Cryopreservation Media Using Multivariate Statistics Approaches
Journal Article
Optimizing Bull Semen Cryopreservation Media Using Multivariate Statistics Approaches
2023
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Overview
Cryo-injury reduces post-thaw semen quality. Extender components play a protective role, but existing experimental approaches do not elucidate interactions among extender components, semen samples, and post-thaw quality. To identify optimal concentrations for 12 extender ingredients, we ran 122 experiments with an I-optimal completely random design using a large dataset from our previous study. We obtained a maximum predicted total motility of 70.56% from an I-optimal design and 73.75% from a Monte Carlo simulation. Individual bull variations were significant and interacted with extenders independently. 67% of bulls reliably preferred extender formulations to reach maximum motility. Multifactor analysis suggests that some antioxidants may offer superior protection over others. Partial least squares path modeling (PLS-PM) found the highest positive loadings for glutathione in the antioxidant class, glycerol in the CPA class, and fructose in the basic compounds class. The optimal ranges for milk, water, and ethylene glycol were extremely narrow. Egg yolk, cholesterol-loaded cyclodextrin, and nerve growth factor had medium-loading impacts. PLS-PM showed that CPA, osmoregulators, and basic components were the most efficient contributors to motility, while the antioxidant and extracellular protectant classes had less efficiency. Thus, ingredients, concentrations, and interactions of extender compounds are critical to extender formulation, especially when using multiple compounds with the same function.
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