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Title: Selection proposal of cultivars of spring barley in the years from 2001 to 2004, using the joint regression analysis
Authors: Pereira, Dulce G.
Mexia, João T.
Editors: Léon, Jens
Ordon, Frank
Keywords: linear regressions
L2 environmental indexes
Joint Regression Analysis
recommended cultivars
certified cultivars
Issue Date: 2008
Publisher: Blackwell Verlag
Citation: Pereira, D. G. and Mexia, J. T. (2008), Selection proposal of cultivars of spring barley in the years from 2001 to 2004, using Joint Regression Analysis. Plant Breeding, 127: 452–458. doi: 10.1111/j.1439-0523.2008.01509.x
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.
Type: article
Appears in Collections:CIMA - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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