SciELO - Scientific Electronic Library Online

 
vol.37 issue1Characterization of fruits and seeds of some cucurbits in northern PerúGrowth and stem quality of Freesia x hybrida under hydroponics author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Revista fitotecnia mexicana

Print version ISSN 0187-7380

Abstract

BELTRAN-PENA, Hugo et al. Molecular and satellite spectral imaging detection of Avocado Sunblotch Viroid (ASBVd). Rev. fitotec. mex [online]. 2014, vol.37, n.1, pp.21-29. ISSN 0187-7380.

The objective of this work was to determine if spectral images form the QuickBird satellite can differentiate avocado (Persea americana Mill.) trees infected with Avocado sunblotch viroid (ASBVd) from healthy or asymptomatic trees, and also from other tree species. Differentiation between healthy and ASBVd symptomatic trees was approached with the classification of maximum likelihood. Nine symptomatic avocado trees, verified by RT-PCR 20 d before the satellite image capture, were positively detected by the image. Detection precision lowered to 70.4 % when the study was made 14 and 24 months after the image capture of 112 symptomatic and asymptomatic avocado trees. The satellite technique would be more efficient if the tree sampling, RT-PCR analysis and image capture, are simultaneously made. This is the first report for the detection of ASBVd symptomatic avocado trees with high spatial and spectral resolution satellite images. Digital analysis of remotely sensed imagery allowed differentiation of avocado from oak trees, and from plant free soil, and could be used to estimate the avocado cropped area in a region.

Keywords : Persea americana; ASBVd; avocado sunblotch; satellite image; spectral reflectance.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License