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FE686, an 8-page fact sheet by Rodney L. Clouser, Nathan B. Smith, Michele C. Marra, and James L. Novak, describes the demographics and education of participants in the survey, as well as their relative ranking of farm bill goals, their sales and income, past participation in government programs, and land ownership and use. Includes tables and references. Published by the UF Department of Food and Resource Economics, March 2007.

FE686, an 8-page fact sheet by Rodney L. Clouser, Nathan B. Smith, Michele C. Marra, and James L. Novak, describes the demographics and education of participants in the survey, as well as their relative ranking of farm bill goals, their sales and income, past participation in government programs, and land ownership and use. Includes tables and references. Published by the UF Department of Food and Resource Economics, March 2007.

FE686, an 8-page fact sheet by Rodney L. Clouser, Nathan B. Smith, Michele C. Marra, and James L. Novak, describes the demographics and education of participants in the survey, as well as their relative ranking of farm bill goals, their sales and income, past participation in government programs, and land ownership and use. Includes tables and references. Published by the UF Department of Food and Resource Economics, March 2007.

FE682, an 8-page fact sheet by Michele C. Marra, Rodney L. Clouser, James L. Novak, and Nathan B. Smith, draws from the results of a national survey to report on southern farmers' attitudes and opinions about present and future conservation programs and goals. The information contained in this report should help policy makers make decisions that take the desires of farmers into consideration, and should also be of use to state Extension specialists and county agents in the southern region, in that it shows some areas where more farmer education might be beneficial. Includes references. Published by the UF Department of Food and Resource Economics, February 2007.

FE682, an 8-page fact sheet by Michele C. Marra, Rodney L. Clouser, James L. Novak, and Nathan B. Smith, draws from the results of a national survey to report on southern farmers' attitudes and opinions about present and future conservation programs and goals. The information contained in this report should help policy makers make decisions that take the desires of farmers into consideration, and should also be of use to state Extension specialists and county agents in the southern region, in that it shows some areas where more farmer education might be beneficial. Includes references. Published by the UF Department of Food and Resource Economics, February 2007.

FE682, an 8-page fact sheet by Michele C. Marra, Rodney L. Clouser, James L. Novak, and Nathan B. Smith, draws from the results of a national survey to report on southern farmers' attitudes and opinions about present and future conservation programs and goals. The information contained in this report should help policy makers make decisions that take the desires of farmers into consideration, and should also be of use to state Extension specialists and county agents in the southern region, in that it shows some areas where more farmer education might be beneficial. Includes references. Published by the UF Department of Food and Resource Economics, February 2007.

Crop insurance is one of the strategies producers can use to reduce risk of income loss due to climate variability. The best approach for reducing risks involves a combination of crop insurance with a pre-harvest marketing plan that includes strategies like hedging and forward contracting. A producer's choice among strategies is often complicated when both price and yield risk are present. However, about 69% of crop failures in the U.S. are because of either drought or excessive moisture (Ibarra and Hewitt, 1999). Are there options for a farmer to reduce these weather and climate-based risks, and can a grower take advantage of climate forecast information to decide about insurance levels? This paper explores this idea for peanuts and provides examples of how to use crop growth simulation models in combination with climate forecasts to decide about coverage levels. This document is CIR 1468, one of a series of the Agricultural and Biological Engineering Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. First published July 2005. Reviewed: September 2008.

Crop insurance is one of the strategies producers can use to reduce risk of income loss due to climate variability. The best approach for reducing risks involves a combination of crop insurance with a pre-harvest marketing plan that includes strategies like hedging and forward contracting. A producer's choice among strategies is often complicated when both price and yield risk are present. However, about 69% of crop failures in the U.S. are because of either drought or excessive moisture (Ibarra and Hewitt, 1999). Are there options for a farmer to reduce these weather and climate-based risks, and can a grower take advantage of climate forecast information to decide about insurance levels? This paper explores this idea for peanuts and provides examples of how to use crop growth simulation models in combination with climate forecasts to decide about coverage levels. This document is CIR 1468, one of a series of the Agricultural and Biological Engineering Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. First published July 2005. Reviewed: September 2008.

Crop insurance is one of the strategies producers can use to reduce risk of income loss due to climate variability. The best approach for reducing risks involves a combination of crop insurance with a pre-harvest marketing plan that includes strategies like hedging and forward contracting. A producer's choice among strategies is often complicated when both price and yield risk are present. However, about 69% of crop failures in the U.S. are because of either drought or excessive moisture (Ibarra and Hewitt, 1999). Are there options for a farmer to reduce these weather and climate-based risks, and can a grower take advantage of climate forecast information to decide about insurance levels? This paper explores this idea for peanuts and provides examples of how to use crop growth simulation models in combination with climate forecasts to decide about coverage levels. This document is CIR 1468, one of a series of the Agricultural and Biological Engineering Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. First published July 2005. Reviewed: September 2008.