Sexual differences in yolk images of chicken eggs captured during early hatching stages: Possibility of application for early sex prediction

• Chicken eggs in early hatching stage were studied for sexing. • Features related to growth in the embryo and vascular network were extracted. • Frequentist and Bayesian statistical inference were used for their analysis. • Sexual difference appeared in the vascular network at third day of the incubation. • The embryo area and vascular fractal dimension may be useful for sexing. Sex prediction in layer chicks before hatching is a critical issue that needs to be resolved, and vascular imaging is known to be useful. However, features distinguishing male and female chicks in the vascular image during early hatching stages remain unknown. In this study, we aimed to extract data on features related to growth in the embryo and the vascular network from yolk images captured after removing the eggshell at the third (Day 3) and fourth (Day 4) days of the incubation period. The features were analyzed using frequentist statistical inference and Bayesian inference to elucidate the appearance of sexual differences. Welch’s t -test showed some sexual differences in the embryo-vascular area and fractal dimension in Day 3 eggs ( p < 0.05). In the Bayesian inference, the fractal dimension made the greatest contribution to sex prediction, followed by the embryo-vascular area. However, these sexual differences were reduced by Day 4. Our results suggest that these features can make a sex prediction model simpler and more robust than using all transmission images.

Authors

Institutions

Publication Details

Journal
Smart Agricultural Technology
Published
2025-09-23
DOI
https://doi.org/10.1016/j.atech.2025.101463
Primary Topic
Animal Nutrition and Physiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sexual differences in yolk images of chicken eggs captured during early hatching stages: Possibility of application for early sex prediction

Yuichi Ogawa, Shin‐ichi Nagaoka, Shojiro Kikuchi, Yoshihisa Yamashige et al.
Smart Agricultural Technology
Animal Nutrition and Physiology
article

Sexual differences in yolk images of chicken eggs captured during early hatching stages: Possibility of application for early sex prediction

Yuichi Ogawa, Shin‐ichi Nagaoka, Shojiro Kikuchi, Yoshihisa Yamashige, Naoshi Kondo, Tetsuhito Suzuki, Takashi Kawano, Maho Chihara, Siyao Chen, Hideyuki Tamura, K. ONOE
article en

Abstract

• Chicken eggs in early hatching stage were studied for sexing. • Features related to growth in the embryo and vascular network were extracted. • Frequentist and Bayesian statistical inference were used for their analysis. • Sexual difference appeared in the vascular network at third day of the incubation. • The embryo area and vascular fractal dimension may be useful for sexing. Sex prediction in layer chicks before hatching is a critical issue that needs to be resolved, and vascular imaging is known to be useful. However, features distinguishing male and female chicks in the vascular image during early hatching stages remain unknown. In this study, we aimed to extract data on features related to growth in the embryo and the vascular network from yolk images captured after removing the eggshell at the third (Day 3) and fourth (Day 4) days of the incubation period. The features were analyzed using frequentist statistical inference and Bayesian inference to elucidate the appearance of sexual differences. Welch’s t -test showed some sexual differences in the embryo-vascular area and fractal dimension in Day 3 eggs ( p < 0.05). In the Bayesian inference, the fractal dimension made the greatest contribution to sex prediction, followed by the embryo-vascular area. However, these sexual differences were reduced by Day 4. Our results suggest that these features can make a sex prediction model simpler and more robust than using all transmission images.

Smart Agricultural TechnologyVol. 12
Hyogo Medical University (JP), Mie University (JP), Japan Society for the Promotion of Science (JP), Kyoto University (JP), Kyoto Research Park (JP), Hyogo University (JP)
Openalex Percentile: Top 70%
Animal Nutrition and Physiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.