African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6574

Full Length Research Paper

Relationship between physical and physiological quality variables in analyzes of black oat seeds

Roberto Carbonera
  • Roberto Carbonera
  • Department of Agrarian Studies, Regional Northwest University of Rio Grande do Sul (UNIJUÍ), 3000 Comércio Street, Ijuí, RS, 98700-000, Brazil.
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Alessandro Dal’Col Lucio
  • Alessandro Dal’Col Lucio
  • Department of Crop Science, Federal University of Santa Maria (UFSM), University Campus - Rural Science Center Building 77, 97105-900 - Santa Maria - RS - Brazil.
  • Google Scholar
Ubirajara Russi Nunes
  • Ubirajara Russi Nunes
  • Department of Crop Science, Federal University of Santa Maria (UFSM), University Campus - Rural Science Center Building 77, 97105-900 - Santa Maria - RS - Brazil.
  • Google Scholar
Sandra Beatriz Vicenci Fernandes
  • Sandra Beatriz Vicenci Fernandes
  • Department of Agrarian Studies, Regional Northwest University of Rio Grande do Sul (UNIJUÍ), 3000 Comércio Street, Ijuí, RS, 98700-000, Brazil.
  • Google Scholar


  •  Received: 28 June 2017
  •  Accepted: 29 August 2017
  •  Published: 23 November 2017

Abstract

The success of species implantation depends on the quality of seeds used initially. It is therefore important to ascertain that the seed is in an excellent physical, physiological, sanitary and nutritional condition as this will determine the genetic cultivars’ potential. Thus, this research work studied the relationships between physical and physiological variables in the seed. Samples were analysed and grouped according to their similarities. A total of 2,586 black oat seed samples were studied, 2,229 were samples of the seed production process and 357 were samples of their own use, and analyzed in the laboratory of the Agronomy Course of Unijuí, Ijuí, RS. Pearson's linear correlation coefficients, multicollinearity analysis, track and cluster analysis was determined by the agglomerative method of the most distant neighbor. The normal seedlings showed the highest correlation of negative signs, and direct effect with dead seeds. The multicollinearity analysis indicated a severe condition number, influenced by the percentage of pure seeds and number of other seeds per number. Three groups of samples were identified in the seeds produced according to the national seed system and four groups in seeds for their own use. The most representative groups presented the highest physical and physiological qualities. The variable, dead seeds, was the one that influenced the germination of normal seedlings most.
 
Key words: Avena strigosa (Schreb.), multicollinearity, path analysis, grouping.