Alfalfa growth and development is affected by many factors, including temperature, soil moisture, stand age and even cultivar. Alfalfa growth has been slow this spring due to cooler than normal weather. This is a reminder that using the calendar date to determine when to harvest the first crop of alfalfa may not be the best method. In order to accurately predict the optimal time for the first cutting, the University of Wisconsin developed the Predictive Equations for Alfalfa Quality (PEAQ) method.
The main focus of our three-state (Iowa, Kentucky, and New York), three-year (2020-2022) project is on finding better ways to manage diseases, insect pests, and weeds in organic systems, and getting that information to growers. Our funding comes from USDA’s Organic Research and Extension Initiative (OREI).
The growth and development of alfalfa is affected by many factors, including temperature, soil moisture, stand age and even cultivar. Alfalfa growth has been slower than normal due to cool conditions in April. This is a good reminder that using a calendar date to determine when to harvest the first crop of alfalfa may not the best method. In order to accurately predict the optimal time for the first cutting, the University of Wisconsin developed the Predictive Equations for Alfalfa Quality (PEAQ) method.
A personal weather station is simply integrated “tools” that measure weather variables such as temperature, humidity, rainfall, wind speed and direction, soil moisture, and leaf wetness. Some are affordable enough to install at your own farm which will give the most accurate representation for the weather in your farm.
Produce growers may not grow the same quantity of product as row crop producers, but tracking the numbers is just as important, if not more so. This Ag Decision Maker article and its corresponding publication outline the importance of good record keeping and offer links to budget worksheets and decision tools.
The USDA announced on May 23, 2019, that there will be a second Market Facilitation Program in 2019. This comes on the heels of the $12 billion MFP program implemented in 2018. The USDA announcement states that the administration is allocating up to $16 billion for the 2019 program, with up to $14.5 billion of that money used for direct payments to producers.
The 2018 farmland value survey results are in! The survey is intended to provide information on general land value trends, geographical land price relationships, and factors influencing the Iowa land market. The survey is conducted by the Center for Agricultural and Rural Development in the Department of Economics at Iowa State University and Iowa State University Extension and Outreach.
A new breeding program at Iowa State University is helping farmers looking to diversify their production system. The program, which is being overseen by Arti Singh, adjunct assistant professor in agronomy at Iowa State, is exploring the ways green gram and black gram can be used to accelerate productivity and profitability.
Students from Iowa State University's CyBIZ Lab, an experiential student program which allows cross functional student teams to consult on client based projects, are currently researching the market's perception of a specific soil amendment and would appreciate your participation in the brief survey below.
The survey is anonymous and voluntary.