AIMC Topic: Breeding

Clear Filters Showing 31 to 40 of 45 articles

Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle.

Genetics, selection, evolution : GSE Mar 31, 2015
BACKGROUND: Recently, artificial neural networks (ANN) have been proposed as promising machines for marker-based genomic predictions of complex traits in animal and plant breeding. ANN are universal approximators of complex functions, that can captur...
Female Animals Male Genotype Lactation Cattle Polymorphism, Single Nucleotide Neural Networks, Computer Algorithms Phenotype Quantitative Trait, Heritable Crosses, Genetic Dairying Genome Milk Linear Models Breeding
View on PubMed DOI

Comprehensive duck DNA fingerprinting based on machine learning for breed identification.

Poultry science Aug 1, 2025
Duck is one of the most widely distributed waterfowl in the world, with more than 6 billion of them farmed annually in the world, and has great economic and ecological value. Amidst mounting global prioritization of duck genetic resource exploration ...
Animals Ducks Breeding Machine Learning DNA Fingerprinting
View on PubMed DOI

Deep learning and genomic best linear unbiased prediction integration: An approach to identify potential nonlinear genetic relationships between traits.

Journal of dairy science Jun 1, 2025
Genomic prediction (GP) aims to predict the breeding values of multiple complex traits, usually assumed to be multivariate normally distributed by the largely used statistical methods, thus imposing linear genetic relationships between traits. Althou...
Milk Breeding Phenotype Female Animals Genomics Models, Genetic Deep Learning Cattle
View on PubMed DOI

The Vertebrate Breed Ontology: Toward Effective Breed Data Standardization.

Journal of veterinary internal medicine Jan 1, 2025
BACKGROUND: Limited universally-adopted data standards in veterinary medicine hinder data interoperability and therefore integration and comparison; this ultimately impedes the application of existing information-based tools to support advancement in...
Biological Ontologies Animals Breeding Vertebrates Livestock Veterinary Medicine
View on PubMed DOI

Classification accuracy of machine learning algorithms for Chinese local cattle breeds using genomic markers.

Yi chuan = Hereditas Jul 1, 2024
Accurate breed classification is required for the conservation and utilization of farm animal genetic resources. Traditional classification methods mainly rely on phenotypic characterization. However, it is difficult to distinguish between the highly...
Algorithms Animals China Cattle Machine Learning Genetic Markers Breeding Genome Genomics Polymorphism, Single Nucleotide Support Vector Machine
View on PubMed DOI

Genome-wide prediction for complex traits under the presence of dominance effects in simulated populations using GBLUP and machine learning methods.

Journal of animal science Jun 1, 2020
The aim of this study was to compare the predictive performance of the Genomic Best Linear Unbiased Predictor (GBLUP) and machine learning methods (Random Forest, RF; Support Vector Machine, SVM; Artificial Neural Network, ANN) in simulated populatio...
Genotype Breeding Genome Animals Male Genomics Multifactorial Inheritance Genes, Dominant Computer Simulation Female Machine Learning Phenotype
View on PubMed DOI

A review of traditional and machine learning methods applied to animal breeding.

Animal health research reviews Jun 1, 2019
The current livestock management landscape is transitioning to a high-throughput digital era where large amounts of information captured by systems of electro-optical, acoustical, mechanical, and biosensors is stored and analyzed on a daily and hourl...
Livestock Animal Husbandry Breeding Machine Learning Animals
View on PubMed DOI

Technical note: an R package for fitting sparse neural networks with application in animal breeding.

Journal of animal science May 4, 2018
Neural networks (NNs) have emerged as a new tool for genomic selection (GS) in animal breeding. However, the properties of NN used in GS for the prediction of phenotypic outcomes are not well characterized due to the problem of over-parameterization ...
Breeding Genotype Bayes Theorem Genetic Markers Neural Networks, Computer Software Male Genomics Female Animals
View on PubMed DOI

Effects of supplementing methionine hydroxy analog on beef cow performance, milk production, reproduction, and preweaning calf performance.

Journal of animal science Dec 1, 2017
Mature Simmental × Angus cows (214 cows; 635 ± 7 kg) were utilized to determine the effects of late gestation and early postpartum supplementation of methionine hydroxy analog (MHA) on cow BW, BCS, milk production, milk composition, reproduction, and...
Methionine Weaning Parturition Breeding Postpartum Period Dietary Supplements Animal Feed Diet Lactation Pregnancy Reproduction Cattle Female Seasons Milk Pregnancy Rate Animals Poaceae
View on PubMed DOI

Developmental and reproductive characteristics of beef heifers classified by pubertal status at time of first breeding.

Journal of animal science Dec 1, 2017
Data collected for 10 or more years at the West Central Research and Extension Center, North Platte, NE ( = 1,104); the Gudmundsen Sandhills Laboratory, Whitman, NE ( = 1,333); and the USDA, ARS, Fort Keogh Livestock and Range Research Laboratory, Mi...
Pregnancy Breeding Pregnancy Rate Weaning Seasons Sexual Maturation Reproduction Parturition Female Animals Cattle
View on PubMed DOI
Popular Topics
Recent Journals