NORTH CAROLINA MEASURED CROP PERFORMANCE CORN AND CORN SILAGE 2013
North Carolina State University College of Agriculture and Life Sciences North Carolina Agriculture Research Service Raleigh, North Carolina 27695 Steven Lommel, Director of ResearchCrop Science Research Report No. 241
October 2013
Introduction
With the large number of commercially available and prospective hybrids of corn, it becomes difficult for growers to select a superior hybrid suited for their particular area of the state and their individual farming operations. To make this decision, the growers need up-to-date, unbiased, reliable information. The Official Variety Testing Program, through this report, seeks to provide that type of information.1 This report is concerned with corn hybrids in all production areas of the state. The second section deals with corn silage. Both sections are complete in that they contain information on experimental procedure, location of the tests, a discussion of the data for 2013, as well as summary tables for the past two years. It is hoped that the organization of this bulletin will provide data in a complete form to those interested in the various crops. Growers are cautioned against making varietal selection decisions based on an individual location in any one year. True varietal performance may have been masked by the unusual weather conditions experienced at any one location or any one growing season.Comparing Hybrids
Performance of a hybrid cannot be tested with absolute precision. Although the tests are conducted in a uniform manner, as much as possible, uncontrollable variability exists among experimental plots due to soil type, fertility, moisture, insects, diseases, and other sources of variation. Because this variability exists, statistics are used as a tool to determine differences among hybrids. The size of chance variation is listed in each table as the L.S.D. (least significant difference) and those hybrids which do not differ by more than the L.S.D. are statistically not different. Those hybrids that do differ by more than the L.S.D. are statistically different. The Bayes L.S.D. at the K-ratio of 50 (approximately .10 level of probability) was used.The coefficient of variability (C.V.) is listed as a general indicator of population variability; it does not, however, always indicate level of precision. The coefficient of determination (R2) is a better measure of the level of precision because it indicates the amount of variation accounted for in the trial. The higher the R2 value, the more precise the trial. Thus, relative precision among various trials can be compared. The standard error of the mean (s.e.) is listed as a general indicator of precision since it reveals how well the true mean was estimated. The formula for the s.e. is the square root of the error variance divided by the square root of the number of replications. The error degrees of freedom (Error d.f.) used to test varieties or hybrids is listed along with the mean of the test.
The hybrids which do not yield significantly less than the highest yielder are denoted by an asterisk (*) next to their yields; the highest yielder is denoted by a double asterisk (**) next to its yield. Other agronomic characteristics may be as equally important as yield.
Based on extensive study of the data over 10 years, the most useful data sets to use in choosing medium-maturing corn hybrids are one-year multi-location averages. This one-year average provides the best prediction of the following year performance while including the latest released hybrids. For early and late-maturing hybrids, the two-year averages across locations provide the best data set to examine in choosing hybrids.