Quail Egg & Digestate Chemical Repository
Description
This database provides a comprehensive integration of proximate chemical analysis records derived from Japanese quail (Coturnix japonica) research, systematically documenting the nutritional flux between dietary intake, egg composition, and excreta. It encompasses detailed datasets on dry matter (MS 55, MS 105, and Total MS), crude protein, ether extract (fat), and ash content, alongside specialized fractions such as fiber components and gross energy (Energía Bruta). By correlating the chemical profiles of experimental diets with the resulting biological outputs and digestive waste, this repository serves as a technical resource for evaluating nutrient partitioning, metabolic efficiency, and the physiological impact of dietary interventions in small ruminant and avian nutrition studies.
Files
Steps to reproduce
To reproduce the experimental results, the process begins with the formulation of experimental diets, which may include industrial subproducts or probiotics, establishing the baseline for nutritional flux. Following the collection of diet, egg, and excreta samples, primary processing requires a two-stage dehydration protocol, starting at 55°C for partial moisture removal and concluding at 105°C to determine the Total Dry Matter (MS Total). A standardized proximate chemical analysis is then performed to quantify crude protein, ether extract (fat), and mineral ash in all collected materials. Additionally, fiber fractions such as Neutral Detergent Fiber are analyzed to evaluate digestibility, while an adiabatic bomb calorimeter is used to measure Gross Energy (Energía Bruta). This chemical data is complemented by a physical exploration and guided dissection of the avian digestive system and its adnexal glands to provide an anatomophysiological context for the findings. Finally, all laboratory outcomes are integrated into a structured repository, like the "Quail Egg & Digestate Chemical Repository," to facilitate the calculation of apparent digestibility and nutrient partitioning.
Institutions
- Universidad Autónoma de Nuevo LeónNuevo León, San Nicolás de los Garza