Sampling for assessment of yellow spot in wheat
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/4775 |
Resumo: | The adequate sampling size is an important factor to be taken into account for better accuracy of experiments. Thus, the objective of this paper was to estimate the sample size in the plot necessary to assess the severity of the yellow wheat spot and the area under the disease progress curve (AUDPC). Were used for this study the yellow spot severity and AUDPC of two field trials performed during 2010 wheat crop. The severity of disease was assess in ten leaves per plot, 40 leaves per treatment, after the second spray of fungicide, and from them we calculated the AUDPC. Subsequently, we calculated the following descriptive statistics for each treatment: minimum, maximum, average, standard deviation, variance and coefficient of variation of means. The evaluation of the number of replications and sample size was performed by analysis of variance of each experiment. The dispersal of disease was measured by the variance/means ratio and Morisita index and aimed to verify the methodology used to calculate the sample size was adequate. The dispersion of the disease has not been the same throughout the experiments, varying between treatments and assessment. Given this behavior, the methodology used in this study to calculate the sample size was adequate. For the error of 10%, the sample size to estimate the average severity of the yellow spot and the area under the disease progress curve are 286 and 22 flag leaves, respectively. |
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Sampling for assessment of yellow spot in wheatMuestreo para evaluación de la mancha amarilla en trigoAmostragem para avaliação de mancha amarela em trigoTriticum aestivum L.Drechslera tritici-repentisDimensionamento amostralAmostragem.Triticum aestivum L.Drechslera tritici-repentisDiseño de muestraMuestreo.Triticum aestivum L.Drechslera tritici-repentisSample designSampling.The adequate sampling size is an important factor to be taken into account for better accuracy of experiments. Thus, the objective of this paper was to estimate the sample size in the plot necessary to assess the severity of the yellow wheat spot and the area under the disease progress curve (AUDPC). Were used for this study the yellow spot severity and AUDPC of two field trials performed during 2010 wheat crop. The severity of disease was assess in ten leaves per plot, 40 leaves per treatment, after the second spray of fungicide, and from them we calculated the AUDPC. Subsequently, we calculated the following descriptive statistics for each treatment: minimum, maximum, average, standard deviation, variance and coefficient of variation of means. The evaluation of the number of replications and sample size was performed by analysis of variance of each experiment. The dispersal of disease was measured by the variance/means ratio and Morisita index and aimed to verify the methodology used to calculate the sample size was adequate. The dispersion of the disease has not been the same throughout the experiments, varying between treatments and assessment. Given this behavior, the methodology used in this study to calculate the sample size was adequate. For the error of 10%, the sample size to estimate the average severity of the yellow spot and the area under the disease progress curve are 286 and 22 flag leaves, respectively.Un tamaño de muestra adecuado es un factor importante a tener en cuenta para mejorar la precisión experimental. Por lo tanto, el objetivo de este trabajo fue estimar el tamaño de la muestra en la parcela necesaria para evaluar la gravedad de la mancha de trigo amarillo y el área bajo la curva de progreso de la enfermedad (ABCPE). Se utilizaron los datos de la mancha amarilla y la gravedad de ABCPE de dos experimentos de control realizados con trigo en la cosecha de 2010. La severidad se obtuvo en diez hojas por parcela, es decir, 40 hojas por tratamiento, después de la segunda aplicación del fungicida y el a partir de ellos se calculó el ABCPE. Posteriormente, se calcularon estadísticas descriptivas para cada tratamiento: mínimo, máximo, promedio, desviación estándar, varianza y coeficiente de variación de la media. La evaluación del dimensionamiento de los experimentos en términos del número de repeticiones y muestras se llevó a cabo analizando la varianza de los experimentos. La dispersión de la enfermedad se verificó mediante la relación varianza / media y el índice de Morisita y tuvo como objetivo verificar si la metodología utilizada para calcular el tamaño de la muestra era adecuada. La dispersión de la enfermedad no fue la misma a lo largo de los experimentos, variando entre tratamientos y evaluaciones. Por lo tanto, la metodología utilizada en este estudio para calcular el tamaño de la muestra fue adecuada. Para un error del 10%, el tamaño de la muestra para estimar la gravedad promedio de la mancha amarilla y el área debajo de la curva de progreso de la enfermedad es de 286 y 22 hojas de bandera, respectivamente.O dimensionamento amostral adequado é um importante fator a ser levado em consideração para melhorar a precisão experimental. Assim o objetivo deste trabalho foi estimar o tamanho de amostra na parcela necessário para avaliar a severidade da mancha amarela do trigo e a área abaixo da curva de progresso da doença (AACPD). Utilizou-se dados de severidade da mancha amarela e da AACPD de dois experimentos de controle realizados com trigo na safra 2010. A severidade foi obtida em dez folhas por parcela, ou seja, 40 folhas por tratamento, após a segunda aplicação do fungicida e a partir delas calculou-se a AACPD. Posteriormente, calcularam-se as estatísticas descritivas em cada tratamento: mínimo, máximo, média, desvio padrão, variância e coeficiente de variação da média. A avaliação do dimensionamento dos experimentos quanto ao número de repetições e de amostras foi realizado por meio da análise de variância dos experimentos. A dispersão da doença foi verificada pela razão variância/média e do índice de Morisita e teve como objetivo verificar se a metodologia utilizada para o cálculo do tamanho de amostra foi adequado. A dispersão da doença não foi a mesma ao longo dos experimentos, variando entre tratamentos e avaliações. Diante disso a metodologia utilizada neste estudo para o cálculo do tamanho da amostra foi adequada. Para um erro de 10%, o tamanho da amostra para estimar a média da severidade da mancha amarela e da área abaixo da curva de progresso da doença são 286 e 22 folhas bandeiras, respectivamente.Research, Society and Development2020-07-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/477510.33448/rsd-v9i8.4775Research, Society and Development; Vol. 9 No. 8; e281984775Research, Society and Development; Vol. 9 Núm. 8; e281984775Research, Society and Development; v. 9 n. 8; e2819847752525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/4775/4812Copyright (c) 2020 Bruno Giacomini Sari, Alessandro Dal'Col Lúcio, IVAN FRANCISCO DRESSLER DA COSTA, Ana Lúcia de Paula Ribeiroinfo:eu-repo/semantics/openAccessSari, Bruno GiacominiLúcio, Alessandro Dal'ColCosta, Ivan Francisco Dressler daRibeiro, Ana Lúcia de Paula2020-08-20T18:00:17Zoai:ojs.pkp.sfu.ca:article/4775Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:28:30.444057Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Sampling for assessment of yellow spot in wheat Muestreo para evaluación de la mancha amarilla en trigo Amostragem para avaliação de mancha amarela em trigo |
title |
Sampling for assessment of yellow spot in wheat |
spellingShingle |
Sampling for assessment of yellow spot in wheat Sari, Bruno Giacomini Triticum aestivum L. Drechslera tritici-repentis Dimensionamento amostral Amostragem. Triticum aestivum L. Drechslera tritici-repentis Diseño de muestra Muestreo. Triticum aestivum L. Drechslera tritici-repentis Sample design Sampling. |
title_short |
Sampling for assessment of yellow spot in wheat |
title_full |
Sampling for assessment of yellow spot in wheat |
title_fullStr |
Sampling for assessment of yellow spot in wheat |
title_full_unstemmed |
Sampling for assessment of yellow spot in wheat |
title_sort |
Sampling for assessment of yellow spot in wheat |
author |
Sari, Bruno Giacomini |
author_facet |
Sari, Bruno Giacomini Lúcio, Alessandro Dal'Col Costa, Ivan Francisco Dressler da Ribeiro, Ana Lúcia de Paula |
author_role |
author |
author2 |
Lúcio, Alessandro Dal'Col Costa, Ivan Francisco Dressler da Ribeiro, Ana Lúcia de Paula |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Sari, Bruno Giacomini Lúcio, Alessandro Dal'Col Costa, Ivan Francisco Dressler da Ribeiro, Ana Lúcia de Paula |
dc.subject.por.fl_str_mv |
Triticum aestivum L. Drechslera tritici-repentis Dimensionamento amostral Amostragem. Triticum aestivum L. Drechslera tritici-repentis Diseño de muestra Muestreo. Triticum aestivum L. Drechslera tritici-repentis Sample design Sampling. |
topic |
Triticum aestivum L. Drechslera tritici-repentis Dimensionamento amostral Amostragem. Triticum aestivum L. Drechslera tritici-repentis Diseño de muestra Muestreo. Triticum aestivum L. Drechslera tritici-repentis Sample design Sampling. |
description |
The adequate sampling size is an important factor to be taken into account for better accuracy of experiments. Thus, the objective of this paper was to estimate the sample size in the plot necessary to assess the severity of the yellow wheat spot and the area under the disease progress curve (AUDPC). Were used for this study the yellow spot severity and AUDPC of two field trials performed during 2010 wheat crop. The severity of disease was assess in ten leaves per plot, 40 leaves per treatment, after the second spray of fungicide, and from them we calculated the AUDPC. Subsequently, we calculated the following descriptive statistics for each treatment: minimum, maximum, average, standard deviation, variance and coefficient of variation of means. The evaluation of the number of replications and sample size was performed by analysis of variance of each experiment. The dispersal of disease was measured by the variance/means ratio and Morisita index and aimed to verify the methodology used to calculate the sample size was adequate. The dispersion of the disease has not been the same throughout the experiments, varying between treatments and assessment. Given this behavior, the methodology used in this study to calculate the sample size was adequate. For the error of 10%, the sample size to estimate the average severity of the yellow spot and the area under the disease progress curve are 286 and 22 flag leaves, respectively. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-05 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/4775 10.33448/rsd-v9i8.4775 |
url |
https://rsdjournal.org/index.php/rsd/article/view/4775 |
identifier_str_mv |
10.33448/rsd-v9i8.4775 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/4775/4812 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 9 No. 8; e281984775 Research, Society and Development; Vol. 9 Núm. 8; e281984775 Research, Society and Development; v. 9 n. 8; e281984775 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
_version_ |
1797052736458457088 |