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2004 North Dakota Hard Red Spring Wheat Variety Selection Guide ND Spring Wheat ND Durum ND Barley ND Oat Compiled by Joel K. Ransom, Extension Agronomist and Brian Sorenson, Extension Wheat Quality Specialist Wheat varieties are tested each year at multiple sites throughout North Dakota. The relative performance of these varieties are shown in table form. Variety performance data are used to provide variety recommendations to producers. Every growing season differs, therefore, when selecting a variety it is best to use data that summarizes several years and locations. The notion that the single data set nearest your farm will indicate which variety will perform the best for you is incorrect. Choose the variety that on average performs the best at multiple locations near you over several years. Some varieties may not be included in the tables due to insufficient testing, lack of seed availability or they offer no yield or disease advantage over similar varieties. Additional data from county sites are available at www.ag.ndsu. nodak.edu/aginfo/variety/index.htm and from each research and extension center. Importance of End-use Quality Millers and bakers are gaining a better understanding of their individual needs for consistent, high quality wheat and flour to succeed in a very competitive industry. Wheat buyers are becoming increasingly sophisticated in their ability to test and source for quality. The U.S. grain trade is receiving requests for adding functional performance specifications to purchase contracts, in an effort to obtain more consistent end-use performance. The majority of HRS wheat buyers are looking for traditional strong gluten properties (Farinogram rating of 6-7); however, there are instances where processors are looking for specific quality parameters, providing marketing alternatives for the wheat you produce. Instead of placing an overall quality factor on varieties, we ask that you take the time to look at the milling and baking performance data on tables 1 and 2, in addition to the agronomic data when you select your varieties. Also, check with grain elevators in your area to see if there is a demand for specific HRS varieties or performance properties that would bring additional value to your crop. Tips on Analyzing Variety Performance Information Always compare yields from the same period of time. Compare one-year yields with other one-year yields and three-year yields with other three-year yields. Dont compare a one-year average with a three-year average. Before evaluating any data at a location, determine whether the data are valid. The coefficients of variation (CV) value often listed at the bottom of a table is a measure of experimental error. Yield tests with a CV of 16% or more contain higher amounts of experimental error than tests with a CV of 10% or less. Use the test least-significant-difference (LSD) value to evaluate yield differences between varieties. The LSD value indicates whether one variety really out-yields another. If a yield difference between two varieties is greater than the LSD value, the varieties differ in yield. If the yield difference is equal to or less than the LSD value, the varieties do not statistically differ in yield. Sometimes a LSD value is not given and a designation such as $$ or N/A is listed. This indicates yield differences were not significant (NS) or yield differences could not be detected. When evaluating yields, remember that environmental conditions at a test location seldom repeat themselves from year to year. Therefore, look at as much yield data from as many trial locations and years as possible. Look at the performance or yield stability of a variety over several locations. A simple way of evaluating yield stability is to see how often a variety is in the top yield group over all test locations, giving the most credence to performance data in your growing area. South Dakota State University. The Authors and Contributors |
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