Managing Global Resources for a Secure Future

2017 Annual Meeting | Oct. 22-25 | Tampa, FL

105444 Decision-Support Maps for Corn Planting Date and Crop Maturity in Mississippi.

Poster Number 1249

See more from this Division: ASA Section: Climatology and Modeling
See more from this Session: Climatology and Modeling General Poster

Wednesday, October 25, 2017
Tampa Convention Center, East Exhibit Hall

Patrick J. English, Delta Research & Extension Center, Mississippi State University, Stoneville, MS and Sherri L. DeFauw, Ascend Geospatial LLC, Cleveland, MS
Poster Presentation
  • English_DeFauw_poster_ASA2017_Tampa.pdf (1.8 MB)
  • Abstract:
    Mississippi’s shift in cropping system dominance from upland cotton (Gossypium hirsutum L.) to corn (Zea mays L.) has caused variably-scaled challenges (at the field-, farmscape-, and regional-scales) for producers and other crop care professionals. Rather dramatic shifts in crop sequences, commodity prices, planting intensities, and weather patterns have produced inter-related complications associated with the initiation of planting. Ancillary knowledge gaps include: risk assessment determinations, maturity dates based on growing degree units (GDUs), and gauging potential yield penalties for continuous production. Geospatial integration of a 4-year corn production footprint (derived from 2013-2016 Cropland Data Layers) with a series of updated temperature-based planting date probability maps enables farmers and other crop professionals to adapt management strategies, minimize risk, and help improve farm-gate earnings. The 4-year corn production footprint occupies over 50% of Mississippi’s harvested land base. Actually, since 2007, over half of the counties in the Delta have invested between 60-85% of their arable land in corn. Comparison of risk probability maps generated from interpolated weather station point data (N=330) with Parameter-elevation Relationships on Independent Slopes Model (or PRISM-derived data) maps has revealed 2-3 week delays in corn planting dates for two areas in the southern half of Mississippi. Additional spatial analysis, based on PRISM data models (at a resolution of 16 km2), has indicated close to 20% of the statewide acreages could advance planting dates 1-3 weeks at a very low risk of 10%. Decision-support models that integrate time to crop maturity using growing degree units (GDUs) with optimal planting date intervals are the next logical steps to help producers maintain a competitive edge in corn commodity markets.

    See more from this Division: ASA Section: Climatology and Modeling
    See more from this Session: Climatology and Modeling General Poster