Selection proposal of cultivars of spring barley in the years from 2001 to 2004, using Joint Regression Analysis

Dulce G. Pereira, J. T. Mexia

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)452-458
Number of pages7
JournalPlant Breeding
Volume127
Issue number5
DOIs
Publication statusPublished - 1 Oct 2008

Keywords

  • Certified cultivars
  • Joint Regression Analysis
  • L environmental indexes
  • Linear regressions
  • Recommended cultivars

Fingerprint

Dive into the research topics of 'Selection proposal of cultivars of spring barley in the years from 2001 to 2004, using Joint Regression Analysis'. Together they form a unique fingerprint.

Cite this