Location: Genetics and Animal Breeding
Title: iGENDEC: A web-based decision support tool for economic index constructionAuthor
SPANGLER, MATTHEW - University Of Nebraska | |
GOLDEN, BRUCE - Theta Solutions, Llc | |
NEWMAN, SCOTT - Genus | |
Kuehn, Larry | |
Snelling, Warren | |
Thallman, Richard - Mark | |
WEABER, ROBERT - Kansas State University |
Submitted to: World Congress of Genetics Applied in Livestock Production
Publication Type: Proceedings Publication Acceptance Date: 6/2/2023 Publication Date: 7/3/2023 Citation: Spangler, M.L., Golden, B.L., Newman, S., Kuehn, L.A., Snelling, W.M., Thallman, R.M., Weaber, R.L. 2023. iGENDEC: A web-based decision support tool for economic index construction [abstract]. In: Proceedings of the World Congress of Genetics Applied in Livestock Production. Session 51. p. 53-54. Interpretive Summary: Technical Abstract: Economic selection indexes are the preferred method of practicing multiple trait selection. In the U.S., the majority of beef breed associations that have genetic evaluations provide generalized indexes. However, utilization of these tools has been less than is desired. IGENDEC, a web-based platform underpinned by a stochastic simulation, was written in the GO programming language, and was developed to enable the construction of user-specific economic selection indexes. The platform made use of user-specified breeding objectives, breeding systems, costs, returns, and phenotypic means. Interface level output included index weights and graphical representation of relative emphasis and Pearson correlations between the custom index and component trait expected progeny differences (EPD). The system has undergone beta testing and source code was placed in a publicly available repository. |