Abstract: Soil and weather conditions play a major role in the growth and yield of sweet potato. They influence the development of source and sink parameters. The source parameters are important in the production and partitioning of dry matter. They also act as a sink. Assuming that the development of plant parameters as the translation of growing environment, a Linear Programming (LP) model for computing optimum yield was formulated. An object function was formulated as a yield maximizing problem. The plant parameters like the number of Branches (BR), the number of Leaves (LF), the Vine Length (VL), the number of internodes per vine (IND), the Vine Fresh Weight (VFT), the petiole length (PLLN), the Tuber Girth (TGR) and the Leaf Area Index (LAI) were considered as the constraints(Resources). An object function and constraints were formulated in terms of the length of tubers (ln_TBR) and the number of tubers (n_TBR), which are the two major yield determinants of sweet potato. Two separate problems, based on the published data were formulated for Jabalpur and Bihar plateau in India. Solutions for the optimum yield in these locations and the influence of each resource on the tuber yield were found.
K. Somasundaram and V.S. Santhosh Mithra , 2007. A Linear Programming Model to Compute the Optimum Yield of Sweet Potato at Various Locations. Agricultural Journal, 2: 160-167.