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ARS Home » Southeast Area » Canal Point, Florida » Sugarcane Field Station » Research » Publications at this Location » Publication #303760
Title: Evaluating sugarcane families by the DTOPSIS method

Author
item ZHAO, PEIFANG - Yunnan Academy Of Agriculture Sciences
item Todd, James
item XIA, HONGMING - Yunnan Academy Of Agriculture Sciences
item ZHAO, JUN - Yunnan Academy Of Agriculture Sciences
item LIU, JIAYONG - Yunnan Academy Of Agriculture Sciences
item YANG, KUN - Yunnan Academy Of Agriculture Sciences
item HOU, CHAOXIANG - Yunnan Academy Of Agriculture Sciences
item ZAN, FENGANG - Yunnan Academy Of Agriculture Sciences
item YAO, LI - Yunnan Academy Of Agriculture Sciences
item WU, CAIWEN - Yunnan Academy Of Agriculture Sciences
item CHEN, XUEKUAN - Yunnan Academy Of Agriculture Sciences

Submitted to: Bragantia
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 5/7/2014
Publication Date: 9/22/2014
Citation: Zhao, P., Todd, J.R., Xia, H., Zhao, J., Liu, J., Yang, K., Hou, C., Zan, F., Yao, L., Wu, C., Chen, X. 2014. Evaluating sugarcane families by the method of Dynamic Technique for Order Preference by Similarity to Ideal Solution (DTOPSIS) Bragantia. 73(3)229-236.

Interpretive Summary: Sugarcane growers are always looking for ways to increase the efficiency of their program. One way to do this is to select families with better yield to make crosses with. Generally breeders want to select these better families on the basis of more than one trait. The method Dynamic Technique for Order Preference by Similarity to Ideal solution or DTOPSIS is a method by which selection for multiple traits can be made though one comprehensive coefficient C_i which expresses the closeness of a family is to the ideal family according to goals for each trait selected in the breeding program. In this study there are five traits of interest including height, stalk number, stalk diameter, Brix and Pith. Each of these traits will be weighted to increase yield to create C_i values for each family. When families with both high and low C_i values were evaluated for selection the progeny of plant families with high C_i values had the highest performance and were selected. The DTPOSIS method would give plant breeders a new tool when making family selection in programs with multiple goals.

Technical Abstract: Discarding poor sugarcane families and enlarging the quantity of seedlings of elite families could improve the sugarcane breeding efficiency. To determine the feasibility of using the method Dynamic Technique for Order Preference by Similarity to Ideal solution (DTOPSIS) for determining the superiority of sugarcane families, the data of 5 traits Brix, millable stalk per stool (SD), stalk diameter (SD), plant height (PH), and pith percentage were collected from family trials which consisted of 17 families and 2 check cultivars at 2 sites including plant and ratoon crops. The rest of the seedlings were planted into field for routine selection. The DTOPSIS method calculates a comprehensive coefficient C_i which expresses the closeness of a solution to the ideal solution and was used in this study to test the distance of each family to the ideal. The number of selected clones at each stage was divided by the number of seedlings to calculate a selection rate at stage 1 to stage 4 for each family. The result indicated that the C_i values was significantly (P<0.01) correlated to the selection rate at stage 2 ( r = 0.8059 ), stage3 ( r = 0.7967), stage 4( r = 0.8202), promising clones were selected from families with higher C_i values in the family trial. So, it is feasible to use DTOPSIS to evaluate the breeding potential of sugarcane family.