How the variables in crop species seed analysis are interrelated

Authors

  • Rélia Rodrigues Brunes Universidade Federal de Santa Maria
  • Alessandro Dal'Col Lúcio Universidade Federal de Santa Maria

DOI:

https://doi.org/10.5039/agraria.v12i3a5451

Keywords:

multivariate analysis, forage, germination, legumes, purity

Abstract

The aim of this study was to evaluate the direct and indirect relationships between normal seedling germination and other crop seed analysis variables, to identify the relative contributions of seed variables and combine analyses for each crop species. The study was based on the results of 1.332 seed analyses carried out between 2007 and 2014 obtained from the seed laboratory archives of the Universidade Federal de Santa Maria. Path analysis confirmed the true association and influence of dead seeds on the reduction of the germination of Oryza sativa, Avena strigosa, Lolium multiflorum e Triticum aestivum. There was no casual relationship and direct effects of percentage of inert material, other seeds and dormant seed on germination. Germination is more representative in explaining the variability in Lolium multiflorum and Triticum aestivum. The cluster analysis of seed analysis discriminated against regarding your quality of seed lots. The groups differed significantly by germination, percentage of dead seeds and other seeds in Oryza sativa, Glycine max and Lolium multiflorum, respectively.

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Published

2017-09-30

How to Cite

Rélia Rodrigues Brunes, & Alessandro Dal´Col Lúcio. (2017). How the variables in crop species seed analysis are interrelated. Brazilian Journal of Agricultural Sciences, 12(3), 289-295. https://doi.org/10.5039/agraria.v12i3a5451

Issue

Section

Agronomy