Relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties in agriculture: A meta-analysis
Descripción del Articulo
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...
| Autores: | , , , , |
|---|---|
| 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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REVUNITRU |
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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 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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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 |
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Derechos de autor 2023 Scientia Agropecuaria https://creativecommons.org/licenses/by-nc/4.0 |
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openAccess |
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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 instacron:UNITRU |
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Universidad Nacional de Trujillo |
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UNITRU |
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UNITRU |
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Revistas - Universidad Nacional de Trujillo |
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Revistas - Universidad Nacional de Trujillo |
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| _version_ |
1846521097668788224 |
| 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 |
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13.088951 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).