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http://krishi.icar.gov.in/jspui/handle/123456789/43038| Title: | Empirical comparison of different selection strategies for genetic improvement |
| Other Titles: | Not Available |
| Authors: | V. K. Bhatia Amrit Kumar Paul |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute |
| Published/ Complete Date: | 1996-10-01 |
| Project Code: | Not Available |
| Keywords: | selection index phenotypic index transformed culling |
| Publisher: | ICAR |
| Citation: | V. K. Bhatia, & A. K. Paul (1996). Empirical comparison of different selection strategies for genetic improvement. Indian Journal of Animal Sciences, 66(10), 1026-1032. |
| Series/Report no.: | Not Available; |
| Abstract/Description: | An empirical study was carried out to examine relative efficiencies of 3 selection strategies, viz. selection index, phenotypic index and transformed culling for genetic improvement based on several characters simultaneously. The empirical comparison was necessitated because the explicit theoretical expression for the relative efficiencies were not available. The superiority of one method over the other, both for genetic gains, as well as for total economic returns was shown to depend upon heritability, genetic and phenotypic correlation and economic value. |
| ISSN: | Not Available |
| Type(s) of content: | Article |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Indian Journal of Animal Sciences |
| NAAS Rating: | 6.28 |
| Volume No.: | 66(10) |
| Page Number: | 1026-1032 |
| Name of the Division/Regional Station: | statistical genetics |
| Source, DOI or any other URL: | Not Available |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/43038 |
| Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Empirical comparision of different selection straitegies for genetic improvement.pdf | 1.14 MB | Adobe PDF | View/Open |
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