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Goats

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IGF-1 stabilizes goat sperm mitochondrial transmembrane potential and reduces dna fragmentation.

Cryo letters
BACKGROUND: Antioxidant present in sperm cells protects them from oxidative damage. However, sperm are more susceptible to peroxidative damages due to the loss of these enzymes during cryopreservation and their survival and fertility may be compromis...

Machine learning methods for unveiling the potential of antioxidant short peptides in goat milk-derived proteins during in vitro gastrointestinal digestion.

Journal of dairy science
Milk serves as an important dietary source of bioactive peptides, offering notable benefits to individuals. Among the antioxidant short peptides (di- and tripeptides) generated from gastrointestinal digestion are characterized by enhanced bioavailabi...

A neural network model for goat gait.

Mathematical biosciences and engineering : MBE
In this paper, our main objective was to investigate the central pattern generator (CPG) neural network model for quadruped gait with time delay. First, we computed the normal form of the model on the center manifold, the bifurcation direction, and s...

Puzzle: taking livestock tracking to the next level.

Scientific reports
Animal behavior is a critical aspect for a better understanding and management of animal health and welfare. The combination of cameras with artificial intelligence holds significant potential, particularly as it eliminates the need to handle animals...

Machine learning-based early prediction of growth and morphological traits at yearling age in pure and hybrid goat offspring.

Tropical animal health and production
The purpose of this study was to evaluate the performance of various prediction models in estimating the growth and morphological traits of pure Hair, Alpine × Hair F (AHF), and Saanen × Hair F (SHF) hybrid offspring at yearling age by employing earl...

Automated acute pain prediction in domestic goats using deep learning-based models on video-recordings.

Scientific reports
Facial expressions are essential in animal communication, and facial expression-based pain scales have been developed for different species. Automated pain recognition offers a valid alternative to manual annotation with growing evidence across speci...

Deep denoising approach to improve shear wave phase velocity map reconstruction in ultrasound elastography.

Medical physics
BACKGROUND: Measurement noise often leads to inaccurate shear wave phase velocity estimation in ultrasound shear wave elastography. Filtering techniques are commonly used for denoising the shear wavefields. However, these filters are often not suffic...

Explainable classification of goat vocalizations using convolutional neural networks.

PloS one
Efficient precision livestock farming relies on having timely access to data and information that accurately describes both the animals and their surrounding environment. This paper advances classification of goat vocalizations leveraging a publicly ...

Prediction of dry matter intake in growing Black Bengal goats using artificial neural networks.

Tropical animal health and production
Dry matter intake (DMI) determination is essential for effective management of meat goats, especially in optimizing feed utilization and production efficiency. Unfortunately, farmers often face challenges in accurately predicting DMI which leads to w...

Development of machine learning-based quantitative structure-activity relationship models for predicting plasma half-lives of drugs in six common food animal species.

Toxicological sciences : an official journal of the Society of Toxicology
Plasma half-life is a crucial pharmacokinetic parameter for estimating extralabel withdrawal intervals of drugs to ensure the safety of food products derived from animals. This study focuses on developing a quantitative structure-activity relationshi...