{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T19:53:48Z","timestamp":1784750028541,"version":"3.55.0"},"reference-count":37,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2015,2,9]],"date-time":"2015-02-09T00:00:00Z","timestamp":1423440000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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 \u00b0C 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.<\/jats:p>","DOI":"10.3390\/s150203988","type":"journal-article","created":{"date-parts":[[2015,2,9]],"date-time":"2015-02-09T10:17:04Z","timestamp":1423477024000},"page":"3988-4000","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Rapid and Efficient Estimation of Pea Resistance to the  Soil-Borne Pathogen Fusarium oxysporum by Infrared Imaging"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8730-0273","authenticated-orcid":false,"given":"Nicolas","family":"Rispail","sequence":"first","affiliation":[{"name":"Institute for Sustainable Agriculture, CSIC, Alameda del Obispo s\/n, Apdo. 4084, C\u00f3rdoba 14080, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9644-8616","authenticated-orcid":false,"given":"Diego","family":"Rubiales","sequence":"additional","affiliation":[{"name":"Institute for Sustainable Agriculture, CSIC, Alameda del Obispo s\/n, Apdo. 4084, C\u00f3rdoba 14080, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2015,2,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1146\/annurev.phyto.35.1.111","article-title":"The evolutionary biology of Fusarium oxysporum","volume":"35","author":"Gordon","year":"1997","journal-title":"Ann. 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