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Standard area diagram set to assess rust severity on eucalyptus leaves
Author(s) -
Borges Luísa Salvador,
Rios Jonas Alberto,
AuciquePérez Carlos Eduardo,
Belisário Renata,
Duarte Henrique da Silva Silveira,
Furtado Gleiber Quintão
Publication year - 2019
Publication title -
forest pathology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.535
H-Index - 49
eISSN - 1439-0329
pISSN - 1437-4781
DOI - 10.1111/efp.12510
Subject(s) - concordance correlation coefficient , intraclass correlation , eucalyptus , rust (programming language) , concordance , biology , correlation coefficient , statistics , correlation , repeatability , reliability (semiconductor) , veterinary medicine , mathematics , botany , reproducibility , computer science , medicine , bioinformatics , physics , geometry , programming language , power (physics) , quantum mechanics
This study aimed to develop and validate a standard area diagram set (SADs) to help assess rust severity caused by Austropuccinia psidii on eucalyptus leaves. The SADs has eight colour images of leaves with severity values ranging from 0.97% to 37.3%. The SADs were validated by 16 raters, who assessed the same set of 50 images twice: the first without the SADs and the second using it as an aid. Accuracy and precision of the estimates were determined based on Lin's concordance correlation coefficient, and the inter‐rater reliability was measured using the coefficient of determination ( R 2 ) and intraclass correlation. The estimates of severity of eucalyptus rust were more accurate, precise and reliable using SADs. These results demonstrate the value of SADs for several activities, including epidemiological studies, treatments comparison, disease monitoring, decision‐making in eucalyptus rust management measures, and in breeding programs.