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Selection proposal of cultivars of spring barley in the years from 2001 to 2004, using Joint Regression Analysis |
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| Authors: | D. G. Pereira J. T. Mexia |
| Affiliation: | 1. Department of Mathematics, University of évora, CIMA‐UE (Center for Research on Mathematics and its Applications), Colégio Luís António Verney, Rua Rom?o Ramalho, 59 7000‐671 évora, E‐mail: dgsp@uevora.pt;2. Department of Mathematics, Faculty of Sciences and Technology, Nova University of Lisbon, CMA‐UNL (Center for Mathematics and its Applications), Quinta da Torre, 2825‐516 Monte da Caparica, Portugal |
| Abstract: | Joint Regression Analysis is a widely used technique in the analysis of series of experiments for cultivar comparison. We show how this technique may be used in the selection of recommended cultivars. We apply this technique to a series of experiments on spring barley cultivars carried out from 2001 to 2004. The data in these designs were kindly made available by the Central Institute for Supervising and Testing in Agriculture in Brno, Czech Republic. |
| Keywords: | linear regressions L2 environmental indexes Joint Regression Analysis recommended cultivars certified cultivars |