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https://hdl.handle.net/1959.11/27598
Title: | Selection strategies to improve the production potential of layer chicken in Thailand | Contributor(s): | Tongsiri, Siriporn (author); Jeyaruban, M Gilbert (supervisor) ; van der Werf, Julius H (supervisor) | Conferred Date: | 2016-04-30 | Copyright Date: | 2015 | Open Access: | Yes | Handle Link: | https://hdl.handle.net/1959.11/27598 | Related DOI: | 10.1080/00071668.2015.1099614 | Abstract: | This thesis explores the options to genetically improve the performances of the layer chicken produced by the Department of Livestock Development for small scale commercial layer operations in Thailand. To fulfill this objective, the genetic parameters were estimated for five economically important traits; age at first egg (AFE), body weight at first egg (BWT), egg weight at first egg (EWFE), total number of eggs up to 17 weeks of lay (EN) and average egg weight at the 17th week of lay (EW). A total of 11,195 hen records from 652 sires and 3,892 dams were used to estimate genetic parameters for the five traits from two purebred lines, Rhode Island Red (RIR), White Plymouth Rock (WPR) and two hybrid lines, RC and WC, generated by crossing RIR and WPR to a commercial strain. | Publication Type: | Thesis Masters Research | Fields of Research (FoR) 2008: | 060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics) 070103 Agricultural Production Systems Simulation 070201 Animal Breeding |
Fields of Research (FoR) 2020: | 310506 Gene mapping 300205 Agricultural production systems simulation 300305 Animal reproduction and breeding |
Socio-Economic Objective (SEO) 2008: | 830309 Poultry 830503 Live Animals |
Socio-Economic Objective (SEO) 2020: | 100411 Poultry 100699 Primary products from animals not elsewhere classified |
HERDC Category Description: | T1 Thesis - Masters Degree by Research |
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Appears in Collections: | Animal Genetics and Breeding Unit (AGBU) Thesis Masters Research |
Files in This Item:
File | Description | Size | Format | |
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openpublished/ThesisTongsiriSiripornMSc2015.pdf | Thesis | 1.4 MB | Adobe PDF Download Adobe | View/Open |
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