New standard area diagram set for assessing black sigatoka in bananas

被引:0
作者
Pinzon-Nunez, Andres Mauricio [1 ]
Feria-Gomez, Diego Felipe [1 ]
Perez-Ochoa, Gloria Marcela [1 ]
Arango-Palacio, Laura [1 ]
Rey-Valenzuela, Vicente Emilio [1 ]
Hoyos-Carvajal, Lilliana [2 ]
Zapata-Henao, Sebastian [1 ]
机构
[1] Banana Res Ctr CENIBANANO AUGURA, Carepa Antioquia 057850, Colombia
[2] Univ Nacl Colombia, Campus Medellin, Medellin 050022, Colombia
关键词
Phytopathometry; Disease assessment; Severity; Pseudocercospora fijiensis; Banana; PHOMOPSIS LEAF-BLIGHT; STREAK DISEASE; SEVERITY; SCALE; VALIDATION; ACCURACY; RELIABILITY;
D O I
10.1007/s10658-024-02917-x
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Black sigatoka, or black leaf streak (BLS), is caused by Pseudocercospora fijiensis and is the most important foliar disease in Musa production. Our goal was to develop a new standard area diagram set (SADs) with high-resolution digital images to aid in visual classification using a quantitative ordinal scale representing six disease severity ranges: 0 (0%), 1 (0 - 5%], 2 (5 - 13%], 3 (13 - 23%], 4 (23 - 40%], 5 (40 - 65%] and 6 (65-100%] and compare visual estimates of BLS severity on banana leaves with those using a previously developed ordinal scale. Three evaluations were conducted by thirteen evaluators and each evaluation was performed at seven-day intervals. The first assessment was done without a SADs. Evaluators subsequently performed two assessments with each the old ordinal scale and the novel SADs. Using the new SADs, evaluators precision, accuracy, repeatability, reproducibility, and residual distributions were improved. The proposed SADs is a tool that helps users in more accurately estimating the severity of BLS.
引用
收藏
页码:535 / 548
页数:14
相关论文
共 50 条
[31]   A CONCORDANCE CORRELATION-COEFFICIENT TO EVALUATE REPRODUCIBILITY [J].
LIN, LI .
BIOMETRICS, 1989, 45 (01) :255-268
[32]   Development and validation of a diagrammatic scale for white mold incidence in tobacco leaf discs [J].
Lopes, Fernanda Souza ;
Pozza, Edson Ampelio ;
Mota Porto, Antonio Carlos ;
da Silva, Caroline Marcela ;
Miguel, Luciana Aparecida ;
Pereira, Welison Andrade .
AUSTRALASIAN PLANT PATHOLOGY, 2022, 51 (01) :31-38
[33]  
Madden L. V., 2007, The Study of Plant Disease Epidemics
[34]  
Mourichon X., 1990, Fruits (Paris), V45, P213
[35]   Reliability and accuracy of visual estimation of phomopsis leaf blight of strawberry [J].
Nita, M ;
Ellis, MA ;
Madden, LV .
PHYTOPATHOLOGY, 2003, 93 (08) :995-1005
[36]   The role of psychophysics in phytopathology: The Weber-Fechner law revisited [J].
Nutter, FW ;
Esker, PD .
EUROPEAN JOURNAL OF PLANT PATHOLOGY, 2006, 114 (02) :199-213
[37]  
NUTTER FW, 1993, PHYTOPATHOLOGY, V83, P806, DOI 10.1094/Phyto-83-806
[38]   IMPROVING THE ACCURACY AND PRECISION OF DISEASE ASSESSMENTS - SELECTION OF METHODS AND USE OF COMPUTER-AIDED TRAINING-PROGRAMS [J].
NUTTER, FW ;
SCHULTZ, PM .
CANADIAN JOURNAL OF PLANT PATHOLOGY-REVUE CANADIENNE DE PHYTOPATHOLOGIE, 1995, 17 (02) :174-184
[39]   Lights, camera, pliman! An R package for plant image analysis [J].
Olivoto, Tiago .
METHODS IN ECOLOGY AND EVOLUTION, 2022, 13 (04) :789-798
[40]  
Pedroso C, 2011, J PLANT PATHOL, V93, P219