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Sensors 2015, 15(2), 3988-4000; doi:10.3390/s150203988

Rapid and Efficient Estimation of Pea Resistance to the Soil-Borne Pathogen Fusarium oxysporum by Infrared Imaging

Institute for Sustainable Agriculture, CSIC, Alameda del Obispo s/n, Apdo. 4084, Córdoba 14080, Spain
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Received: 12 November 2014 / Accepted: 30 January 2015 / Published: 9 February 2015
(This article belongs to the Special Issue Biosensors for Pathogen Detection)
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Abstract

Fusarium wilts are widespread diseases affecting most agricultural crops. In absence of efficient alternatives, sowing resistant cultivars is the preferred approach to control this disease. However, actual resistance sources are often overcome by new pathogenic races, forcing breeders to continuously search for novel resistance sources. Selection of resistant accessions, mainly based on the evaluation of symptoms at timely intervals, is highly time-consuming. Thus, we tested the potential of an infra-red imaging system in plant breeding to speed up this process. For this, we monitored the changes in surface leaf temperature upon infection by F. oxysporum f. sp. pisi in several pea accessions with contrasting response to Fusarium wilt under a controlled environment. Using a portable infra-red imaging system we detected a significant temperature increase of at least 0.5 °C after 10 days post-inoculation in the susceptible accessions, while the resistant accession temperature remained at control level. The increase in leaf temperature at 10 days post-inoculation was positively correlated with the AUDPC calculated over a 30 days period. Thus, this approach allowed the early discrimination between resistant and susceptible accessions. As such, applying infra-red imaging system in breeding for Fusarium wilt resistance would contribute to considerably shorten the process of selection of novel resistant sources. View Full-Text
Keywords: infra-red imaging system; Fusarium oxysporum; Fusarium wilt; leaf temperature; Pisum sativum; screening for resistance; plant breeding infra-red imaging system; Fusarium oxysporum; Fusarium wilt; leaf temperature; Pisum sativum; screening for resistance; plant breeding
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Rispail, N.; Rubiales, D. Rapid and Efficient Estimation of Pea Resistance to the Soil-Borne Pathogen Fusarium oxysporum by Infrared Imaging. Sensors 2015, 15, 3988-4000.

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