Income variability and means for managing risk continue to receive much attention in farm management research. In this paper, irrigation is presented as a risk-management strategy that offers potential diversification benefits. Potential diversification opportunities largely result from a wider range of enterprise production activities. A portfolio analysis of dryland and irrigated farm scenarios indicates that income stabilizing and diversification effects of irrigation substantially modify the risk-return position of a typical farm in northeast Louisiana. Safety-first considerations along with Target MOT AD programming procedures also are used to evaluate the impact of irrigation on the farm's financial performance.

A mixed integer linear programming model was developed to simulate the decision environment faced by an entry-level vegetable producer contemplating production for the whole-sale market. The model included activities which permitted consideration of 13 vegetable crops within a spring, summer, and fall rotational system. Rotations were permitted within given bounds established by marketing, rotational, and price risk constraints. Rotations were generally stable with respect to markets and relative to crop mixes as target income and acceptable negative deviation levels were varied. Spring and fall broccoli and turnip greens and late spring-summer yellow and zucchini squash were dominant crops in the triple crop rotations in the Atlanta and Cincinnati markets.

Selected risk programming solutions (i.e., profit maximization, Target-MOTAD, and MOTAD) are tested in an economic environment outside the data set from which they were developed. Specifically, solutions are derived from either a longer 10-year (1965-74) or shorter 6-year estimation period (1969-74), and then, they are tested for consistent risk-income characteristics over a later 10-year period (1975-84). Risk solutions estimated from earlier periods perform well in the later test period in spite of different economic conditions between time periods. However, favorable performance may be related to the specific example used in this analysis. Further testing for other farm situations is needed before general conclusions can be reached.

Numerous studies have analyzed annual crop mix decisions in light of producer risk preferences. Few studies have focused on perennial crop mix decisions. This study attempts to identify not only the optimal mix of grapefruit and oranges for various riskaversion levels, but also optimal planting densities within each species. Experimental plot data from a grapefruit and orange spacing trial over the 1970-82 period were used in a MOTAD formulation to address optimal perennial crop mix and planting density decisions under different capital constraints. An examination of results suggests crop mix and planting density diversification within and across species of citrus as a means of reducing income variability.