SUMMARY: Data on Iowa weather, and its effects on fields, crops and livestock.

Cover crops slow erosion, improve soil, smother weeds, enhance nutrient and moisture availability, help control many pests and bring a host of other benefits to your farm. At the same time, they can reduce costs, increase profits and even create new sources of income. You¿ll reap dividends on your cover crop investments for years, since their benefits accumulate over the long term. This book will help you find which ones are right for you. Captures farmer and other research results from the past ten years. The authors verified the info. from the 2nd ed., added new results and updated farmer profiles and research data, and added 2 chap. Includes maps and charts, detailed narratives about individual cover crop species, and chap. about aspects of cover cropping.

"A powerful polemic against agricultural technology." —Nature A major new book that shows the world already has the tools to feed itself, without expanding industrial agriculture or adopting genetically modified seeds, from the Small Planet Institute expert Few challenges are more daunting than feeding a global population projected to reach 9.7 billion in 2050—at a time when climate change is making it increasingly difficult to successfully grow crops. In response, corporate and philanthropic leaders have called for major investments in industrial agriculture, including genetically modified seed technologies. Reporting from Africa, Mexico, India, and the United States, Timothy A. Wise's Eating Tomorrow discovers how in country after country agribusiness and its well-heeled philanthropic promoters have hijacked food policies to feed corporate interests. Most of the world, Wise reveals, is fed by hundreds of millions of small-scale farmers, people with few resources and simple tools but a keen understanding of what and how to grow food. These same farmers—who already grow more than 70 percent of the food eaten in developing countries—can show the way forward as the world warms and population increases. Wise takes readers to remote villages to see how farmers are rebuilding soils with ecologically sound practices and nourishing a diversity of native crops without chemicals or imported seeds. They are growing more and healthier food; in the process, they are not just victims in the climate drama but protagonists who have much to teach us all.

Dwight Hoover, who grew up on an Iowa farm, recalls the events of day-to-day life in this era, offering detailed descriptions of daily work in each of the year's four seasons. A fascinating if grim reminder of what it was like to be a child with adult responsibilities, Mr. Hoover's unusual memoir recalls the rough edges as well as the happy moments of rural life.

The National Agricultural Statistics Service (NASS) is the primary statistical data collection agency within the U.S. Department of Agriculture (USDA). NASS conducts hundreds of surveys each year and prepares reports covering virtually every aspect of U.S. agriculture. Among the small-area estimates produced by NASS are county-level estimates for crops (planted acres, harvested acres, production, and yield by commodity) and for cash rental rates for irrigated cropland, nonirrigated cropland, and permanent pastureland. Key users of these county-level estimates include USDA's Farm Services Agency (FSA) and Risk Management Agency (RMA), which use the estimates as part of their processes for distributing farm subsidies and providing farm insurance, respectively. Improving Crop Estimates by Integrating Multiple Data Sources assesses county-level crop and cash rents estimates, and offers recommendations on methods for integrating data sources to provide more precise county-level estimates of acreage and yield for major crops and of cash rents by land use. This report considers technical issues involved in using the available data sources, such as methods for integrating the data, the assumptions underpinning the use of each source, the robustness of the resulting estimates, and the properties of desirable estimates of uncertainty.