AIMC Topic: Buffaloes

Clear Filters Showing 1 to 10 of 15 articles

Predicting performance traits in Murrah buffaloes using machine learning: a comparative approach.

Tropical animal health and production Dec 29, 2025
This study evaluated the comparative performance of nine machine learning (ML) algorithms for predicting 305-day first lactation milk yield (305FLMY) and total milk yield (TMY) in Murrah buffaloes. Data from 657 animals recorded over 24 years (2000-2...
Lactation Buffaloes Milk Dairying Machine Learning Female Animals
View on PubMed DOI

End-to-end deep SAE-DNN model for predicting Egyptian buffalo calf sex, weight, and daily milk yield.

Tropical animal health and production Nov 27, 2025
In the present study, a novel stacked Sparse Autoencoder-Deep Neural Network (SAE-DNN) learning prediction model was applied to predict calf sex, weight, and daily milk yield for dairy buffalo. First, SAE stage extracts the unique statistical feature...
Milk Dairying Neural Networks, Computer Sex Determination Analysis Female Animals Body Weight Male Lactation Buffaloes Egypt
View on PubMed DOI

Determination of milk yield in water buffaloes using multi-class logistic regression and machine learning methods.

Tropical animal health and production Jul 28, 2025
In this study, Random Forest, Gradient Boosting Machines (GBM), and Support Vector Machines (SVM), Multi-Class Logistic Regression (MCLR) models were comparatively evaluated for the prediction of milk yield in water buffaloes. The study's main purpos...
Female Animals Logistic Models Machine Learning Pregnancy Dairying Lactation Buffaloes Milk
View on PubMed DOI

Detection and quantification of formaldehyde adulteration in cow and buffalo milk using UV-Vis-NIR spectroscopy with machine learning.

Food chemistry Jul 8, 2025
This work uses UV-Vis-NIR spectroscopy (200-1700 nm), spectral preprocessing, principal component analysis (PCA), and machine learning (ML) to identify and quantify formalin adulteration in cow and buffalo milk. Formalin was added to milk at various ...
Machine Learning Animals Spectroscopy, Near-Infrared Spectrophotometry, Ultraviolet Formaldehyde Buffaloes Milk Cattle Food Contamination Principal Component Analysis
View on PubMed DOI

Integrating mid-infrared spectroscopy, machine learning, and graphical bias correction for fatty acid prediction in water buffalo milk.

Journal of the science of food and agriculture Apr 15, 2024
BACKGROUND: Buffalo milk, constituting 15% of global production, has higher fatty acids content than Holstein milk. Fourier-transform mid-infrared (FT-MIR) spectroscopy is widely used for dairy analysis, but its application to buffalo milk, with larg...
Milk Machine Learning Animals Spectroscopy, Fourier Transform Infrared Fatty Acids Buffaloes
View on PubMed DOI

Pregnancy rate in water buffalo following fixed-time artificial insemination using new or used intravaginal devices with two progesterone concentrations.

Tropical animal health and production Dec 22, 2017
This study evaluated the pregnancy rate (PR) after timed artificial insemination (TAI) in water buffalo (Bubalus bubalis) during both non-breeding and breeding season, using either a new or reused intravaginal device (IVD) with two different progeste...
Pregnancy, Animal Cattle Pregnancy Rate Progesterone Insemination, Artificial Mexico Administration, Intravaginal Estrus Synchronization Buffaloes Seasons Geography Fertility Pregnancy Buserelin Female Animals
View on PubMed DOI

Basic fibroblast growth factor is critical to reprogramming buffalo (Bubalus bubalis) primordial germ cells into embryonic germ stem cell-like cells.

Theriogenology Dec 29, 2016
Primordial germ cells (PGCs) are destined to form gametes in vivo, and they can be reprogrammed into pluripotent embryonic germ (EG) cells in vitro. Buffalo PGC have been reported to be reprogrammed into EG-like cells, but the identities of the major...
Embryonic Germ Cells Animals Pluripotent Stem Cells Signal Transduction Buffaloes Cellular Reprogramming MAP Kinase Signaling System Cell Culture Techniques Cell Differentiation Cell Lineage Fibroblast Growth Factors
View on PubMed DOI

Solving the Traveling Salesman's Problem Using the African Buffalo Optimization.

Computational intelligence and neuroscience Jan 10, 2016
This paper proposes the African Buffalo Optimization (ABO) which is a new metaheuristic algorithm that is derived from careful observation of the African buffalos, a species of wild cows, in the African forests and savannahs. This animal displays unc...
Travel Models, Theoretical Buffaloes Problem Solving Algorithms Computer Simulation Animals Humans Neural Networks, Computer
View on PubMed DOI

Investigation into homocysteine [corrected], vitamin E and malondialdehyde as indicators of successful artificial insemination in synchronized buffalo cows (Bubalus bubalis).

Research in veterinary science Nov 30, 2015
The aim of this study was to describe modifications in plasma homocysteine (Hcy), vitamin E (VitE) and malondialdehyde (MDA) concentrations in the first 56 days after artificial insemination (AI) in buffalo. Thirty-five buffalo cows were divided, ex ...
Buffaloes Homocysteine Insemination, Artificial Estrus Synchronization Vitamin E Pregnancy Female Animals Malondialdehyde
View on PubMed DOI

Follicle-stimulating hormone-induced rescue of cumulus cell apoptosis and enhanced development ability of buffalo oocytes.

Domestic animal endocrinology Oct 31, 2015
The effect of follicle-stimulating hormone (FSH) on apoptotic status of cumulus cells, expression of proapoptotic and antiapoptotic genes, and development rate of in vitro fertilization-produced buffalo embryos were investigated. FSH supplementation ...
Female Buffaloes Gene Expression Regulation In Vitro Oocyte Maturation Techniques Animals Cumulus Cells DNA Fragmentation Apoptosis Embryo Culture Techniques Follicle Stimulating Hormone Dose-Response Relationship, Drug Oocytes
View on PubMed DOI
Popular Topics
Recent Journals