| Autor: |
Hall, M. H., Rosenberger, J. L., Anderson, G. F., Harkcom, W. S., Hoffman, L. D. |
| Zdroj: |
Journal of Natural Resources & Life Sciences Education; September 1994, Vol. 23 Issue: 2 p125-129, 5p |
| Abstrakt: |
Confidently selecting alfalfa (Medicago sativaL.) cultivars can be difficult for producers because data, often collected from a number of individual evaluation trials, are not presented in concise or easily understandable formats. Since analysis of data from evaluation trials has been restricted to a single trial (cultivars seeded at the same time) at a single location, an individual table is necessary to present the data from each trial at a given location. Consequently, it is necessary for producers to study numerous tables before they can confidently select an alfalfa cultivar. This process is cumbersome and difficult. Our objectives were to combine yield data from numerous alfalfa cultivar evaluation trials and present the data as intervals so that producers can rapidly detect the confidence to be placed on the yield for each cultivar. The Best Linear Unbiased Prediction (BLUP) model was used to combine data. Yield intervals were determined at a 95% level of confidence based on the standard error (SE) of the least squares means (LSMEANS). Combining data from numerous trials at a single location allows the presentation of information in a more user friendlymanner than having a separate table for each trial at a location. Of the producers surveyed, 64% preferred having yield data from several trials in a single table. Providing yield intervals, which contain information about both the location from which the yield originated and the uncertainty of that yield, would aid in the comparison of cultivars and assess confidence associated with selection of a particular cultivar. However, only 46% of those surveyed preferred the yield interval format compared with having the yield presented as a single value. This response highlights the need for continued educational programs addressing cultivar selection and interpreting evaluation data. We recommend that, in the future, more cultivar evaluation data for perennial crops, such as alfalfa, from a single location be combined and presented with yield intervals to improve cultivar comparison. |
| Databáze: |
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