Coffee leaf rust assessment: comparison and validation of diagrammatic scales for Coffea arabica

被引:9
作者
Figueiredo, Yasmim Freitas [1 ]
Oliveira, Julia Marques [1 ]
Almeida, Kize Alves [1 ]
Pereira, Priscilla de Fatima [1 ]
Pedroso, Luma Alais [1 ]
Faria Guimaraes, Marina de Resende [1 ]
Costa, Marileide Moreira [1 ]
Pozza, Edson Ampelio [1 ]
机构
[1] Univ Fed Lavras, Dept Plant Pathol, POB 3037, Lavras, MG, Brazil
关键词
Arabica; Disease assessment; Hemileia vastatrix; Visual estimation; HEMILEIA-VASTATRIX; SEVERITY; ACCURACY; BLIGHT;
D O I
10.1007/s10658-022-02570-2
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Coffee leaf rust (CLR) is the most important disease in coffee and is caused by Hemileia vastatrix. The use of a diagrammatic scale helps people more effectively evaluate rust severity and improves disease measurement by evaluators. Our goal was to develop a new scale with colored pictures and seven disease levels (0; 0.1-1.0; 1.1-2.0; 2.1-5.0; 5.1-10.0; 10.1-25.0; >25.0%) and then compare the severity results of CLR on arabica coffee leaves with those based on three other scales. Three evaluations were performed by ten different evaluators. The first assessment was performed without a scale. On the same day, raters performed four assessments with each of the four diagrammatic scales. The third evaluation was performed at seven-day intervals. We analyzed the statistics with linear regression and Lin's concordance correlation. The evaluators using the proposed scale improved the precision, accuracy and reproducibility of the evaluations and reduced residual distribution when compared to the evaluators who did not use the proposed diagrammatic scale or who used the other scales. Overall, the proposed diagrammatic scale is a tool that can assist users in producing a disease estimate close to the real value of CLR on arabica coffee leaves.
引用
收藏
页码:411 / 427
页数:17
相关论文
共 44 条
[11]  
Campbell CL, 1990, Introduction to plant disease epidemiology, P161
[12]   Development and validation of a standard area diagram set to estimate severity of leaf rust in Coffea arabica and C. canephora [J].
Capucho, A. S. ;
Zambolim, L. ;
Duarte, H. S. S. ;
Vaz, G. R. O. .
PLANT PATHOLOGY, 2011, 60 (06) :1144-1150
[13]  
CONAB-Companhia Nacional de Abastecimento, 2018, CONAB, V5, P1, DOI DOI 10.3389/fnut.2018.00001
[14]  
Cunha R. L., 2001, S BRAS PESQ CAF BRAS, P101
[15]   COMPARISON AND VALIDATION OF DIAGRAMMATIC SCALES FOR BROWN EYE SPOTS IN COFFEE TREE LEAVES [J].
de Paiva Custodio, Adriano Augusto ;
Pozza, Edson Ampelio ;
Costa Guimaraes, Sarah da Silva ;
Maneti Koshikumo, Erika Sayuri ;
Agredo Hoyos, Julian Mauricio ;
de Souza, Paulo Estevao .
CIENCIA E AGROTECNOLOGIA, 2011, 35 (06) :1067-1076
[16]  
Del Ponte EM, 2017, PHYTOPATHOLOGY, V107, P1161, DOI [10.1094/PHYTO-02-17-0069-Fl, 10.1094/phyto-02-17-0069-fi, 10.1094/PHYTO-02-17-0069-FI]
[17]  
FAO, 2018, FAO STAT COUNTR COMM
[18]   A new standard area diagram set for assessment of severity of soybean rust improves accuracy of estimates and optimizes resource use [J].
Franceschi, Vinicius T. ;
Alves, Kaique S. ;
Mazaro, Sergio M. ;
Godoy, Claudia, V ;
Duarte, Henrique S. S. ;
Del Ponte, Emerson M. .
PLANT PATHOLOGY, 2020, 69 (03) :495-505
[19]  
Gamer M, 2019, PACKAGE IRR VARIOUS
[20]  
Ghini Raquel, 2011, IMPACTOS MUDANCAS CL, P15