PreZon: Prediction by Zone and Its Application to Egg Productivity in Chickens

Author:

Lin Yen-Jen1ORCID,Liou Ming Li2,Lee Wen Chuan3,Tang Chuan Yi14

Affiliation:

1. Department of Computer Science, National Tsing Hua University, Hsinchu City 30013, Taiwan

2. Department of Medical Laboratory Science and Biotechnology, Yuanpei University, Hsin-chu City 30015, Taiwan

3. Division of Biotechnology, Animal Technology Institute Taiwan, Miaoli 35053, Taiwan

4. Department of Computer Science & Information Engineering, Providence University, Taichung City 43301, Taiwan

Abstract

Taiwan red-feathered country chickens (TRFCCs) are one of the main meat resources in Taiwan. Due to the lack of any systematic breeding programs to improve egg productivity, the egg production rate of this breed has gradually decreased. The prediction by zone (PreZone) program was developed to select the chickens with low egg productivity so as to improve the egg productivity of TRFCCs before they reach maturity. Three groups (, , and ) of chickens were used in this study. Two approaches were used to identify chickens with low egg productivity. The first approach used predictions based on a single dataset, and the second approach used predictions based on the union of two datasets. The levels of four serum proteins, including apolipoprotein A-I, vitellogenin, X protein (an IGF-I-like protein), and apo VLDL-II, were measured in chickens that were 8, 14, 22, or 24 weeks old. Total egg numbers were recorded for each individual bird during the egg production period. PreZone analysis was performed using the four serum protein levels as selection parameters, and the results were compared to those obtained using a first-order multiple linear regression method with the same parameters. The PreZone program provides another prediction method that can be used to validate datasets with a low correlation between response and predictors. It can be used to find low and improve egg productivity in TRFCCs by selecting the best chickens before they reach maturity.

Publisher

Hindawi Limited

Subject

General Environmental Science,General Biochemistry, Genetics and Molecular Biology,General Medicine

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