Factors Affecting Corn Performance in New York and New England
- Investigate 2013 weather conditions and their possible effect on corn performance relative to 2012 and long-term averages.
||59 locations in N.Y., Penn., Vt., Mass. and Conn.
||Field-length strips (minimum 4 rows wide, 350-ft long)
9 Pioneer® brand hybrids at each location
|Weather data from the Pioneer EnClass® system.
2013 Weather Conditions
- Weather data across locations showed an average reduction in accumulated GDUs (-177.76) and solar radiation (-245.3 MJ/m2) during the 2013 growing season compared to 2012.
- Solar radiation was 124.5 MJ/m2 lower than the 10-yr average.
- Average temperature during the 2013 growing season was 2.52 degrees Fahrenheit below the 10-yr average.
- Average precipitation during the growing season increased by 11.48 inches in 2013 compared to 2012 and was 6.04 inches greater than the 10-yr average.
2013 Corn Performance
- For all 9 hybrids tested, average yields across locations were lower in 2013 than 2012.
- Average test weight across hybrids and locations was 2.25 lbs/bu lower in 2013 compared to 2012.
- An increased number of cloudy days with additional rain and lower solar radiation during grain fill may be a contributing factor to lower test weights in 2013.
- Foliar diseases, lower solar radiation and denitrification due to excessive rainfall are thought to have contributed to reduced yields and lower test weights.
- Environmental conditions late in the 2013 season slowed drydown with average grain moisture at harvest nearly 3.6 points higher than in 2012.
|Average Test Weight and Grain Moisture Across All Locations and Hybrids in 2012 and 2013
Pioneer® brand products are provided subject to the terms and conditions of purchase which are part of the labeling and purchase documents. 2013 data are based on average of all comparisons made in 59 locations through Dec 19, 2013. Multi-year and multi-location is a better predictor of future performance. Do not use these or any other data from a limited number of trials as a significant factor in product selection. Product responses are variable and subject to a variety of environmental, disease, and pest pressures. Individual results may vary.