AIMC Topic: Chickens

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Broiler responses to digestible threonine at different ages: a neural networks approach.

Journal of animal physiology and animal nutrition
Three experiments were conducted with broiler chickens to evaluate the effects of digestible threonine (DThr) and crude protein (CP) on their performance at three different phases of age: 1-14, 15-28 and 29-42 days. The measured traits included the f...

Toll-like receptor signaling in vertebrates: testing the integration of protein, complex, and pathway data in the protein ontology framework.

PloS one
The Protein Ontology (PRO) provides terms for and supports annotation of species-specific protein complexes in an ontology framework that relates them both to their components and to species-independent families of complexes. Comprehensive curation o...

Enhanced needle localization in ultrasound using beam steering and learning-based segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Segmentation of needles in ultrasound images remains a challenging problem. In this paper, we introduce a machine learning-based method for needle segmentation in 2D beam-steered ultrasound images. We used a statistical boosting approach to train a p...

Characterization of volatile flavour compounds and characteristic flavour precursors in poultry eggs based on multi-omics and machine learning.

Food chemistry
Although egg flavour influences consumer preference and satisfaction, the features governing the flavour profiles have been poorly studied. This study investigated the volatile compounds and lipid profiles of different poultry egg yolks (chicken, duc...

A panting behavior-driven assessment framework for summer ventilation quality optimization in layer houses.

Poultry science
Ventilation quality in summer layer houses is critical for heat stress prevention, production performance, and poultry welfare. Addressing the issue of "qualified environmental parameters but chicken discomfort" caused by traditional methods overlook...

Genome-wide association study revealed candidate genes associated with egg-laying time traits in layer chicken.

Poultry science
In modern intensive caged laying hen production, variations in egg-laying time (ELT) among layers often increase the workload for egg collection, thereby raising the costs of labor or power and reducing overall efficiency. For management purpose, ear...

Automating egg damage detection for improved quality control in the food industry using deep learning.

Journal of food science
The detection and classification of damage to eggs within the egg industry are of paramount importance for the production of healthy eggs. This study focuses on the automatic identification of cracks and surface damage in chicken eggs using deep lear...

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...

The developmental and evolutionary characteristics of transcription factor binding site clustered regions based on an explainable machine learning model.

Nucleic acids research
Gene expression is temporally and spatially regulated by the interaction of transcription factors (TFs) and cis-regulatory elements (CREs). The uneven distribution of TF binding sites across the genome poses challenges in understanding how this distr...

Detection system of dead and sick chickens in large scale farms based on artificial intelligence.

Mathematical biosciences and engineering : MBE
With the continuous enrichment of scientific and technological means, the production of most chicken farms has been able to achieve automation, but for the dead and sick chickens in the farm, there is no automatic monitoring step, only through contin...