Relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties in agriculture: A meta-analysis

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The objective of this study was to analyze the relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties that make its adoption widely used in agriculture. For this, 25 papers related to the VESS (2009-2022) were considered where the information of the authors, the soi...

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Autores: Olivares, Barlin Orlando, Lobo, Deyanira, Carlos Rey, Juan, Vega, Andrés, Rueda, María Angélica
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Nacional de Trujillo
Repositorio:Revistas - Universidad Nacional de Trujillo
Lenguaje:inglés
OAI Identifier:oai:ojs.revistas.unitru.edu.pe:article/4754
Enlace del recurso:https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4754
Nivel de acceso:acceso abierto
Materia:soil structure
bulk density
total soil porosity
soil penetration resistance
random effect models
forest plot
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network_name_str Revistas - Universidad Nacional de Trujillo
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dc.title.none.fl_str_mv Relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties in agriculture: A meta-analysis
title Relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties in agriculture: A meta-analysis
spellingShingle Relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties in agriculture: A meta-analysis
Olivares, Barlin Orlando
soil structure
bulk density
total soil porosity
soil penetration resistance
random effect models
forest plot
title_short Relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties in agriculture: A meta-analysis
title_full Relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties in agriculture: A meta-analysis
title_fullStr Relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties in agriculture: A meta-analysis
title_full_unstemmed Relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties in agriculture: A meta-analysis
title_sort Relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties in agriculture: A meta-analysis
dc.creator.none.fl_str_mv Olivares, Barlin Orlando
Lobo, Deyanira
Carlos Rey, Juan
Vega, Andrés
Rueda, María Angélica
author Olivares, Barlin Orlando
author_facet Olivares, Barlin Orlando
Lobo, Deyanira
Carlos Rey, Juan
Vega, Andrés
Rueda, María Angélica
author_role author
author2 Lobo, Deyanira
Carlos Rey, Juan
Vega, Andrés
Rueda, María Angélica
author2_role author
author
author
author
dc.subject.none.fl_str_mv soil structure
bulk density
total soil porosity
soil penetration resistance
random effect models
forest plot
topic soil structure
bulk density
total soil porosity
soil penetration resistance
random effect models
forest plot
description The objective of this study was to analyze the relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties that make its adoption widely used in agriculture. For this, 25 papers related to the VESS (2009-2022) were considered where the information of the authors, the soil property: bulk density (BD), total soil porosity (TP), soil penetration resistance (PR), macroporosity, microporosity, soil organic carbon (SOC), and mean weight diameter of stable aggregates (MWD). The sample size (n=120 cases), and the correlation coefficient were extracted. To measure this relationship, the correlation coefficient of all studies was contemplated. A meta-analysis was carried out to obtain a global measure of the correlation between the VESS and soil properties across the studies. In the first instance, a fixed effects model was fitted for the correlation (effect size, known as the response variable in the meta-analysis). Subsequently, a random effects model was fitted for the correlation, followed by a subgroup analysis according to soil properties, due to the presence of high heterogeneity between studies. The overall effect (average correlation coefficient) of the fitted random effects model was 0.31 with a confidence interval (CI) of [0.22;0.41]. The heterogeneity between studies was high ( =94.0%) and statistically significant p<0.001. Although it is moderate, the average correlation in practical terms may be sufficient. There were significant differences in some average correlations of some categories, such as BD, PR, TP, and microporosity. The weights reported for the BD, SOC, and PR were 29.7%, 16.4%, and 14.2%, respectively. This result evidenced that the greatest contribution to the global effect of correlation between VESS and soil properties is provided by BD. 
publishDate 2023
dc.date.none.fl_str_mv 2023-02-27
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4754
url https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4754
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4754/6679
https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4754/5290
dc.rights.none.fl_str_mv Derechos de autor 2023 Scientia Agropecuaria
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2023 Scientia Agropecuaria
https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional de Trujillo
publisher.none.fl_str_mv Universidad Nacional de Trujillo
dc.source.none.fl_str_mv Scientia Agropecuaria; Vol. 14 Núm. 1 (2023): Enero-Marzo; 67-78
Scientia Agropecuaria; Vol. 14 No. 1 (2023): Enero-Marzo; 67-78
2306-6741
2077-9917
reponame:Revistas - Universidad Nacional de Trujillo
instname:Universidad Nacional de Trujillo
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instname_str Universidad Nacional de Trujillo
instacron_str UNITRU
institution UNITRU
reponame_str Revistas - Universidad Nacional de Trujillo
collection Revistas - Universidad Nacional de Trujillo
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties in agriculture: A meta-analysisOlivares, Barlin OrlandoLobo, Deyanira Carlos Rey, Juan Vega, Andrés Rueda, María Angélica soil structurebulk densitytotal soil porositysoil penetration resistancerandom effect modelsforest plotThe objective of this study was to analyze the relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties that make its adoption widely used in agriculture. For this, 25 papers related to the VESS (2009-2022) were considered where the information of the authors, the soil property: bulk density (BD), total soil porosity (TP), soil penetration resistance (PR), macroporosity, microporosity, soil organic carbon (SOC), and mean weight diameter of stable aggregates (MWD). The sample size (n=120 cases), and the correlation coefficient were extracted. To measure this relationship, the correlation coefficient of all studies was contemplated. A meta-analysis was carried out to obtain a global measure of the correlation between the VESS and soil properties across the studies. In the first instance, a fixed effects model was fitted for the correlation (effect size, known as the response variable in the meta-analysis). Subsequently, a random effects model was fitted for the correlation, followed by a subgroup analysis according to soil properties, due to the presence of high heterogeneity between studies. The overall effect (average correlation coefficient) of the fitted random effects model was 0.31 with a confidence interval (CI) of [0.22;0.41]. The heterogeneity between studies was high ( =94.0%) and statistically significant p<0.001. Although it is moderate, the average correlation in practical terms may be sufficient. There were significant differences in some average correlations of some categories, such as BD, PR, TP, and microporosity. The weights reported for the BD, SOC, and PR were 29.7%, 16.4%, and 14.2%, respectively. This result evidenced that the greatest contribution to the global effect of correlation between VESS and soil properties is provided by BD. The aim of this study was to analyze the relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties that make its adoption widely used in agriculture. For this, 25 papers related to the VESS (2009-2022) were considered, and information on the soil property: bulk density (BD), total soil porosity (TP), soil penetration resistance (PR), macroporosity, microporosity, soil organic carbon (SOC), and mean weight diameter of stable aggregates (MWD). The sample size (n=120 cases), and the correlation coefficient were extracted. A meta-analysis was carried out to obtain a global measure of the correlation between the VESS and soil properties. In the first instance, a fixed effects model was fitted for the correlation (effect size as the response variable in the meta-analysis). Subsequently, a random effects model was fitted for the correlation, followed by a subgroup analysis according to soil properties, due to the presence of high heterogeneity. The overall effect (average correlation coefficient) of the fitted random effects model was 0.31 with a confidence interval of 0.22-0.41. The heterogeneity between studies was high (I 2: 94%) and statistically significant (p<0.001). Although it is moderate, the average correlation in practical terms may be sufficient. There were significant differences in some average correlations of some categories, such as BD, PR, TP, and microporosity. The weights reported for the BD, SOC, and PR were 29.7%, 16.4%, and 14.2%, respectively. The greatest contribution to the global effect of correlation between VESS and soil properties is provided by BD. The VESS is a reliable semi-quantitative method to assess soil quality and could be considered a promising visual predictor of soil physical properties such as BD, SOC, and PR. Periodic evaluation of structural quality should be an important aspect of soil quality management, improving the predictive level of soil properties.Universidad Nacional de Trujillo2023-02-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlapplication/pdfhttps://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4754Scientia Agropecuaria; Vol. 14 Núm. 1 (2023): Enero-Marzo; 67-78Scientia Agropecuaria; Vol. 14 No. 1 (2023): Enero-Marzo; 67-782306-67412077-9917reponame:Revistas - Universidad Nacional de Trujilloinstname:Universidad Nacional de Trujilloinstacron:UNITRUenghttps://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4754/6679https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/4754/5290Derechos de autor 2023 Scientia Agropecuariahttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessoai:ojs.revistas.unitru.edu.pe:article/47542023-01-31T01:40:33Z
score 13.088951
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