Comprehensive SAS code for computing several selection indices

Crop breeders often have to consider multiple traits for selecting and advancing superior genotypes. Under such circumstances, use of selection indices is considered superior to other selection approaches, such as tandem selection and independent culling. While many types of selection indices have been developed (e.g., Smith and Hazel index, Desired gain index, Brim index, and Robinson index), programs for computing some of them (e.g., Desired gain index, Brim index, and Robinson index) are not available. We have developed a comprehensive SAS (Statistical Analysis System) code to compute the following indices: Smith and Hazel index, Desired gain index, Brim index, and Robinson index. The program also computes efficiency and genetic gain associated with these indices. The computer program reported here is named Shiri-SAS-Index-Selection, which is simple and easy to use. We present examples of SAS output generated by the Shiri-SAS-Index-Selection program for two breeding strategies. The program can be accessed here.