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Predicting Winter Wheat Grain Yield under Grazed and Non-Grazed Production Systems Jason Lawles.

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Presentation on theme: "Predicting Winter Wheat Grain Yield under Grazed and Non-Grazed Production Systems Jason Lawles."— Presentation transcript:

1 Predicting Winter Wheat Grain Yield under Grazed and Non-Grazed Production Systems
Jason Lawles

2 Objectives To evaluate the effects of grazing winter wheat on our ability to predict yield.

3 Importance of Winter Wheat Grazing in Oklahoma
Oklahoma farms are diversified Cow-calf, and wheat production 2003 crop year 6.4 million acres of wheat planted 2002 crop year 6 million acres planted that 60% was grazed, 0ver 3.6million acres 2002 crop year 3.5 million acres harvested

4 Materials and Methods Experimental Sites: Experimental Design:
Hydro, Marshall Grazing Research Station Experimental Design: Split-block with 4 replications 2174, Ok101 wheat variety Pre-plant N rates of 0,56,112, 168 kg ha-1 applied as Pre-plant P flat rate of 58 kg ha-1 applied as at Hydro sites

5 Materials and Methods Experimental Design (cont.):
Forage + Grain production system Grain-only production system

6 Initial soil test data from grazing sites
Location NH4-N NO3-N P K pH Hydro Home place Hydro Barn Marshall Grazing Research Station

7 Field Activities Location Planting date Field size Stocking rate Days grazed lbs removed Ave. daily gain Hydro 9/28/ acres 210lb/ac days lb/ac lb/day Barn Hydro 9/23/ acres lb/ac days lb/ac lb/day Home place Marshall 9/3/03 25 acres

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12 Conclusion Harvest data will be collected
It will take three weeks to identify variability Grazing should not effect our ability to predict yield mid-season


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