High accuracy gender determination using the egg shape index
| dc.contributor.author | Kayadan, Muhammed | |
| dc.contributor.author | Uzun, Yunus | |
| dc.date.accessioned | 2023-02-23T05:38:40Z | |
| dc.date.available | 2023-02-23T05:38:40Z | |
| dc.date.issued | 2023 | |
| dc.department | Mühendislik Fakültesi | |
| dc.description.abstract | Since only female chicks are used in layer hens, usually hatched male chicks are killed. It is estimated that around 7 billion chicks per year are killed immediately after hatching. In addition to being unethical, this situation also causes great financial losses. Sex determination in chicks can be done before or after hatching. Of course, determinations made before hatching are more advantageous, but the prediction rate is relatively low. The morphology of an egg is expressed in terms of the Shape Index (SI), which is the ratio of the short diameter to the long diameter. In this study, male and female chicks were predicted by using the shape index of the eggs using the RUSBoost Classifier using Shape Index. Although SI varied according to the egg type, a significant correlation (r = 0.78) was observed between chick sex and SI. Therefore, it was possible to estimate gender by utilizing SI in chickens, even if the accuracy of classification was not as high as in ducks. Besides the SI, mass, short axis, long axis, ovality, volume, eccentricity parameters were obtained and used for the results. With this features, females classified with 80% and males classified 81% correctly. The model predictions were applied to the probability of female chick hatching equation from the previous studies, 71% of the estimations were correctly classified according to this equation.With this work, around 80% of accurate predictions were made. In this case, killing 5.65 billion chicks can be prevented. Likewise, many eggs are not wasted. 1.13 billion USD loss can be prevented. | |
| dc.identifier.doi | 10.1038/s41598-023-27772-4 | |
| dc.identifier.issn | 2045-2322 | |
| dc.identifier.issue | 1 | en_US |
| dc.identifier.pmid | 36627389 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.uri | https:/dx.doi.org/10.1038/s41598-023-27772-4 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12451/10269 | |
| dc.identifier.volume | 13 | en_US |
| dc.identifier.wos | WOS:001003345000016 | |
| dc.identifier.wosquality | Q1 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.indekslendigikaynak | PubMed | |
| dc.language.iso | en | |
| dc.publisher | Nature Research | |
| dc.relation.ispartof | Scientific Reports | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Animals | |
| dc.subject | Chickens | |
| dc.subject | Eggs | |
| dc.subject | Female | |
| dc.subject | Male | |
| dc.title | High accuracy gender determination using the egg shape index | |
| dc.type | Article |
