Methods for zingiberene quantification in tomato seeking indirect selection of arthropod-pest-resistant plants

  • Joelson Andre de Freitas EPAMIG
  • Wilson Roberto Maluf UFLA
  • Maria das Graças Cardoso UFLA
  • Flavio Rodrigo Gandolfi Benities UFLA

Abstract

Two quantification methodologies of zingiberene were tested to establish a criterion for indirect selection of tomato plants resistant to arthropod pests. The tomato plants evaluated were: Lycopersicon esculentum ‘TOM-556’' (absence or a low zingiberene content), L. hirsutum var. hirsutum ‘PI-127826’ (high zingiberene content),- F1 TOM-556 x PI-127826, L. hirsutum var. glabratum ‘PI-134417’, L. esculentum ‘TOM-600’ (the last two with high contents of 2 - tridecanone), and Zingiber officinalis ‘ginger’ (species with high zingiberene content). The extraction of zingiberene was made in 4.21 cm2 of tomato plant leaflets and 0.15g of Z. officinalis root, in 2mL of hexane stirred for 40 seconds and quantified in spectrophotometer and high-performance liquid chromatography (HPLC), at 270 nm. These methodologies presented a positive correlation (r=0.85) indicating a good precision of quantification by spectrophotometer. A fast, cheap and nondestructive methodology for zingiberene quantification in tomato plants was established

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Author Biography

Joelson Andre de Freitas, EPAMIG
possui graduação em Engenharia Agronômica pela Universidade Federal de Lavras (1994) , mestrado em Agronomia (Genética e Melhoramento de Plantas) pela Universidade Federal de Lavras (1996) e doutorado em Agronomia (Genética e Melhoramento de Plantas) pela Universidade Federal de Lavras (1999) . Atualmente é Coordenador de Melhoramento de Hortalicas da Sakata Seed Sudamerica Ltda Currículo Lattes
Published
2008-05-08
How to Cite
Freitas, J. A. de, Maluf, W. R., Cardoso, M. das G., & Benities, F. R. G. (2008). Methods for zingiberene quantification in tomato seeking indirect selection of arthropod-pest-resistant plants. Acta Scientiarum. Agronomy, 22, 943-949. https://doi.org/10.4025/actasciagron.v22i0.2823
Section
Agronomy

 

2.0
2019CiteScore
 
 
60th percentile
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2.0
2019CiteScore
 
 
60th percentile
Powered by  Scopus