Identification of asymptomatic plants infected with Citrus tristeza virus from a time series of leaf spectral characteristics

Author:

Afonso Andreia M.,Guerra RuiORCID,Cavaco Ana M.,Pinto Patrícia,Andrade André,Duarte Amílcar,Power Deborah M.,Marques Natália T.

Funder

FCT

post-doc fellowship

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference46 articles.

1. Sensing tomato’s pathogen using visible/near infrared (VIS/NIR) spectroscopy and multivariate data analysis (MVDA);Abu-Khalaf;Palestine Tech. Univ. Res. J.,2015

2. Afonso, A., 2016. Utilização de sensores óticos na deteção de agentes patogénicos nas plantas. M.Sc. Diss., Universidad do Algarve. Available in http://sapientia.ualg.pt/handle/10400.1/8255(in Portuguese).

3. Bar-Joseph, M., Nitzan, Y., 1991. The spread and distribution of Citrus tristeza virus isolates in sour orange seedlings. In: Proc. 11th Int. Organ. Citrus Virol., IOCV Conference, Riverside, CA, pp. 162–165.

4. Cambra, M., Gorris, M.T., Román, M.P., Terrada, E., Garnsey, S.M., Camarasa, E., Olmos, A., Colomer, M., 2000. Routine detection of Citrus tristeza virus by direct immunoprinting-ELISA method using specific monoclonal and recombinant antibodies. In: Proc. 14th Int. Organ. Citrus Virol., IOCV Conference, Riverside, CA, pp. 34–41.

5. Effects of long-term chilling on growth and photosynthesis of the C4 gramineae Paspalum dilatatum;Cavaco;Physiol. Plant,2003

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