Integrated Quail Egg Incubation and Morphometric Database
Description
This database compiles comprehensive records associated with egg morphometry, incubation performance, embryonic development, and hatchability traits in Japanese quail. The dataset integrates quantitative measurements related to egg quality characteristics, incubation parameters, and hatching outcomes, providing a valuable resource for avian biology, poultry science, animal nutrition, and reproductive physiology research. The database was developed to support comparative analyses, predictive modeling, and experimental validation in studies focused on incubation efficiency, embryonic viability, and productive performance in quail production systems. In addition, the dataset enables the exploration of relationships among egg biometric traits, hatchability indicators, and developmental responses under different experimental or management conditions. Due to its structured organization and research-oriented design, this database can serve as a reference resource for scientists, graduate students, and industry professionals interested in poultry production, precision incubation studies, and data-driven approaches in animal science. The dataset also facilitates reproducibility, meta-analyses, and cross-study comparisons, contributing to the advancement of sustainable and evidence-based avian production research.
Files
Steps to reproduce
The dataset can be reproduced by collecting fertile eggs from healthy and properly managed Japanese quail breeding flocks under standardized environmental and nutritional conditions. Eggs should be individually identified and evaluated for external morphometric and quality traits prior to incubation, including measurements such as egg weight, dimensions, shell characteristics, and shape-related parameters. Subsequently, eggs must be incubated under controlled temperature, humidity, and ventilation conditions following standard poultry incubation protocols. During the incubation period, embryonic development and viability assessments may be performed through routine candling procedures and hatch monitoring. At hatch, variables related to hatchability, embryonic mortality, chick quality, and incubation efficiency should be systematically recorded and organized in a structured database format. Finally, researchers may perform statistical analyses and critical comparisons between their experimental results and the present dataset to validate findings, identify biological patterns, and support future investigations in avian incubation and reproductive performance research.
Institutions
- Universidad Autónoma de Nuevo LeónNuevo León, San Nicolás de los Garza