Sunday, 24 June 2007 - 2:00 PM

Applying the NRCS Pasture Condition Score System at the Whole-Farm Scale.

Matt Sanderson, Sarah Goslee, Robert Stout, and Jeffery Gonet. USDA-ARS, Pasture Research Lab, Builiding 3702 Curtin Road, University Park, PA 16802-3702

The Pasture Condition Score (PCS) system was developed by the USDA-NRCS as a monitoring and management tool. Ten key indicators (percent desirable plants, plant cover, plant diversity, plant residue, plant vigor, percent legume, uniformity of use, livestock concentration areas, soil compaction, and soil erosion) of grazing land status are evaluated to determine scores. We applied the PCS to all pastures on two farms in Pennsylvania (PA1 and PA2, one dairy, one beef), two farms in New York (NY1 and NY2, dairies), and one farm in Maryland (MD1, organic dairy) in spring, summer, and fall of three years. Average PCS scores were relatively stable throughout the grazing seasons of 2004 and 2006. Summer drought reduced PCS scores for farms PA1, PA2, and MD1 in 2005. The indicators for legume content and forage diversity scored lowest on all farms in all years. Soil pH was often below 6.0 and may have limited legume persistence on these farms. The score for plant diversity ranged between 1 and 2, which according to the scoring criteria, indicated that only a few forage species dominated in pastures. On these farms, a few cool-season grasses such as Kentucky bluegrass, orchardgrass, and tall fescue dominated most pastures. Pastures used for maintaining heifers and dry cows or for wintering cows often had lower PCS scores than other pastures. Typically, these pastures were on less productive soils and were stocked for longer periods than other pastures. Our data indicate that assessing PCS at the start of the grazing season, during stressful growing conditions (typically mid summer) and near season end (to determine the extent of recovery) would be useful. Grouping pastures managed and used for different classes of cattle (e.g., heifer, dry cow, or holding pastures) and monitoring subsets of these pastures may reduce the monitoring work load.

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