PreZon: Prediction by Zone and Its Application to Egg Productivity in Chickens
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 selec...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1100/2012/785187 |
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| author | Yen-Jen Lin Ming Li Liou Wen Chuan Lee Chuan Yi Tang |
| author_facet | Yen-Jen Lin Ming Li Liou Wen Chuan Lee Chuan Yi Tang |
| author_sort | Yen-Jen Lin |
| collection | DOAJ |
| description | 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 (𝐴, 𝐵, and 𝐶) 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. |
| format | Article |
| id | doaj-art-f26b185c4032452e91eca86f045dec18 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-f26b185c4032452e91eca86f045dec182025-02-03T01:03:51ZengWileyThe Scientific World Journal1537-744X2012-01-01201210.1100/2012/785187785187PreZon: Prediction by Zone and Its Application to Egg Productivity in ChickensYen-Jen Lin0Ming Li Liou1Wen Chuan Lee2Chuan Yi Tang3Department of Computer Science, National Tsing Hua University, Hsinchu City 30013, TaiwanDepartment of Medical Laboratory Science and Biotechnology, Yuanpei University, Hsin-chu City 30015, TaiwanDivision of Biotechnology, Animal Technology Institute Taiwan, Miaoli 35053, TaiwanDepartment of Computer Science, National Tsing Hua University, Hsinchu City 30013, TaiwanTaiwan 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 (𝐴, 𝐵, and 𝐶) 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.http://dx.doi.org/10.1100/2012/785187 |
| spellingShingle | Yen-Jen Lin Ming Li Liou Wen Chuan Lee Chuan Yi Tang PreZon: Prediction by Zone and Its Application to Egg Productivity in Chickens The Scientific World Journal |
| title | PreZon: Prediction by Zone and Its Application to Egg Productivity in Chickens |
| title_full | PreZon: Prediction by Zone and Its Application to Egg Productivity in Chickens |
| title_fullStr | PreZon: Prediction by Zone and Its Application to Egg Productivity in Chickens |
| title_full_unstemmed | PreZon: Prediction by Zone and Its Application to Egg Productivity in Chickens |
| title_short | PreZon: Prediction by Zone and Its Application to Egg Productivity in Chickens |
| title_sort | prezon prediction by zone and its application to egg productivity in chickens |
| url | http://dx.doi.org/10.1100/2012/785187 |
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