elaboração e validação da escala diagramática para avaliação da mancha branca do milho diagrammatic scale for severity evaluation of maize white foliar spot
Article Quality & Performance Metrics
Readership in this journal
SteadyRanked #34 of 44 articles by views in international journal of computer games technology
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
Abstract
Precise evaluation of plant diseases is very important for epidemiology studies and elaboration of control strategies. The diagrammatic scale of diseases contributes for an accurate evaluation and supplies an uniform standard for different evaluators. The objective of this work was to develop and validate a diagrammatic scale to quantify the severity of maize white foliar spot disease. In order to build the scale, minimum and maximum severity extremes of the disease were set by observation, and the intermediate levels were defined by logarithmic increment, according to "Weber-Fechner law of stimulus". The scale is composed by seven levels of severity: 1.1; 2.1; 4.2; 7.9; 14.4; 25.0 and 39.7%, which were validated by evaluators (10) without any experience in maize white spot disease quantification. Thirty leaves of corn with heterogeneous levels of the disease were analyzed and the severity was estimated by the evaluators, at first, without the scale and then, prior to that, with the proposed scale. Simple linear regressions relating the real values of severity and the estimated severities were used for the accuracy analysis of the evaluators, while the coefficients of determination and variance of absolute errors determined the precision of the evaluators. Visual estimation of severity was precise with the use of the diagrammatic scale. The proposed diagrammatic scale is adequate to estimate the severity of maize white foliar spot disease, and can be used in epidemiology studies.
| Reference Key |
malagi2011revistaelaborao
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Gustavo Malagi;Idalmir dos Santos;Rubia Cristiani Camochena;Renata Moccellin |
| Journal | international journal of computer games technology |
| Year | 2011 |
| DOI |
10.1590/S1806-66902011000300028
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
ZincirX productsfrom the team behind Journament
-
PatentYazar
Patent drafts for the EPO, USPTO and TürkPatent
From inventor notes to a DOCX draft: description, claims, abstract. The machine drafts, the attorney signs.
See how it works (opens in a new tab) -
Projenator
Have a project idea? Score and plan it with AI
AI scores your idea in five dimensions and builds a phased plan. Your first project is free, no card needed.
Start your first project (opens in a new tab)
Cookies
We use strictly necessary cookies to run the site and keep you signed in. With your permission we would also use Google Analytics to see how the site is used, and Google AdSense to show ads on journal and article pages. Both stay off unless you accept, and you can change your mind at any time. How we use cookies · KVKK notice (Türkiye)
Cookie settings
Comments
No comments yet. Be the first to comment on this article.