2nd UF Water Institute Symposium Abstract

Submitter's Name Tara Bongiovanni
Session Name Poster Session: Optimal Use of Integrated Water Supplies 2
Category Optimal use of integrated water supplies
Poster Number 402
Author(s) Tara Bongiovanni,  Ph.D. Student, Center for Remote Sensing, Agricultural and Biological Engineering Department, Univ. of Florida
  Jasmeet Judge,  Director, Center for Remote Sensing and Associate Professor, Agricultural and Biological Engineering Department, Univ. of Florida
  Dorota Haman, Professor and Chair, Agricultural and Biological Engineering Department, Univ. of Florida,
  Crop Curves of Sweet Corn Using Eddy Covariance Technique in North Central Florida
  Florida’s sandy soil, temperature, and rainfall produce unique conditions for crop growth. Throughout a growing season, a crop will experience different water needs, typically shown by a crop curve. Crop curves for water consumption are used for irrigation scheduling to use water more efficiently. Potential or reference evapotranspiration (ET0) along with crop coefficients are required to develop crop curves. In this study, we develop crop curves for sweet corn grown in North Central Florida using three seasons of observations during our Microwave Water and Energy Balance Experiments (MicroWEXs). During the MicroWEXs, we observed micrometeorological, soil, and vegetation conditions. An Eddy covariance system was used to obtain actual crop ET and the Penman-Monteith (PM) method was used to estimate the ET0 for the three growing seasons. The PM method is also employed by the Food and Agricultural Organization (FAO). We compare our daily and weekly values of the crop coefficients (Kc) during the three seasons with those obtained using the FAO methods. We also investigate the relationship of the Kc values to cumulative growing degree days and leaf area index during the seasons. This study demonstrates the use of the eddy covariance technique to estimate Kc for different crop types by providing frequent measurements of ET during the growing season.