S3 : Cnti Scence f' t O.-0 4 `82 Agronomy Research Report AY-92-05 :'. ..... Of F oriJ , Rye or Crimson Clover and N Fertilizer MaWagement-to-Op-timize Corn Ear Leaf Area, Dry Weight, and N Concentration Aaron B. Henderson and Raymond N. Gallaher Participant in Student Science Training Program and Professor of Agronomy, respectively, Agronomy Department, Inst. Food and Agri. Sci., University of Florida, Gainesville, FL 32611. ABSTRACT Growth and nutrition of corn (Zea mays L.) are dependent upon having a sufficient area of the leaves in relation to the land on which they are growing. Nitrogen nutrition and management schemes influence the corn plant's leaf area, and subsequently, growth and yield. Ear leaf N concentration, area, and weight will benefit if cover crops [crimson clover (Trifolium incarnatum L.) and rye (Secale cereale L.)] and specific management schemes are utilized. The objective of this research was to determine the best management practice (BMP) of using rye or crimson clover and N fertilizer to optimize corn ear leaf area, dry weight and N concentration. Each cover crop is manipulated under each different management scheme which includes the type of tillage (no-tillage vs. conventional) and the amount of applied inorganic N fertilizer. The corn plants on each separate plot were analyzed by picking the top ear leaf off five plants and determining the total leaf area, dry weight, and N concentration. Under clover management, no-tillage mulch was proposed to be the most economical requiring only 57 kg N/ha to meet the sufficiency level of 2.70% N required for healthy corn. Under rye, no-tillage mulch was found to be the BMP based on expected economics as well as conservation benefits. Too little N and improper management will result in reduced corn yield, reduced production for export sales, loss of profits, waste of resources, and inefficiency. Too much N again results in inefficiency as well as potential ground water pollution. If corn could be produced in its ideal conditions with minimum tillage and N application, resources would be maximized and efficiency increased with less labor and less expense.