scholarly journals Selecting soil quality indicators for different soil management systems in the Brazilian Cerrado

2016 ◽  
Vol 51 (9) ◽  
pp. 1643-1651 ◽  
Author(s):  
Diane Cristina Stefanoski ◽  
Cícero Célio de Figueiredo ◽  
Glenio Guimarães Santos ◽  
Robélio Leandro Marchão
Keyword(s):  
Soil Quality ◽  
Quality Indicators ◽  
Soil Depth ◽  
Principal Component ◽  
Soil Management ◽  
Biological Indicators ◽  
Management Systems ◽  
Brazilian Cerrado ◽  
Soil Quality Indicators ◽  
Physical Chemical

Abstract The objective of this work was to assess soil quality indicators obtained with different datasets to compare soil management systems in the Brazilian Cerrado. Three criteria were used to select soil physical, chemical, and biological indicators: the full set of indicators obtained, with 36 parameters, for which all the physical, chemical, and biological soil properties were determined; a subset of indicators selected by principal component analysis (20 parameters); and a subset of indicators with some frequency of use in the literature (16 parameters). These indicators were obtained from the following management systems: no-tillage, conventional tillage, and native cerrado vegetation. Soil samples were collected at 0.0-0.1-m soil depth, and soil quality indicators were subjected to analysis of variance and their means were compared. The incorporation of soil native cerrado into agriculture decreased soil quality. The most commonly used indicators in the scientific literature are sensitive enough to detect differences in soil quality according to land use. Therefore, the selection of a minimum set of representative data can be more useful than a complex set of properties to compare management systems as to their soil quality.

scholarly journals Soil quality indicators under management systems in a Quilombola community in the Brazilian Cerrado

2019 ◽  
Vol 76 (6) ◽  
pp. 518-526 ◽  
Author(s):  
Antonio Marcos Miranda Silva ◽  
Maria Lucrecia Gerosa Ramos ◽  
Robervone Severina de Melo Pereira do Nascimento ◽  
Alberto do Nascimento Silva ◽  
Stefany Braz Silva ◽  
...  
Keyword(s):  
Soil Quality ◽  
Quality Indicators ◽  
Management Systems ◽  
Brazilian Cerrado ◽  
Soil Quality Indicators

scholarly journals Sedentary Agriculture and Its Implications on Soil Quality in Agro-pastoral Semi-arid Karamoja, Uganda

2020 ◽  
Vol 12 (4) ◽  
pp. 148
Author(s):  
S. Muwanga ◽  
R. Onwonga ◽  
S. O. Keya ◽  
E. Komutunga
Keyword(s):  
Land Use ◽  
Soil Fertility ◽  
Data Base ◽  
Soil Quality ◽  
Quality Indicators ◽  
Soil Depth ◽  
Sustainable Land Use ◽  
Soil Quality Indicators ◽  
Local Soil ◽  
Semi Arid

Uganda Government embarked on promoting sedentary agriculture in Karamoja agro-pastoral semi-arid livelihood zone, which experience rapid environmental and high soil quality (SQ) decline. However, studies on sedentary agriculture’s impact on soil quality using farmer’s knowledge is limited. Consequently, a survey was carried out in Karamoja (Iriiri, Matany Sub-counties of Napak of districts and Rengen sub-county of Kotido) to determine the soil quality indicator parameters based on the farmers knowledge in order to build a local soil knowledge data base to better inform sustainable land use strategies. Using a semi-structured questionnaire, forty indigenous farmers per sub-county, were interviewed between August and September, 2015. The study took into account the social demographic characteristics of the people, farming enterprises, methods of crops production, crops yields trends, causes of the perceived yields trends and soil quality indicators. Prospects of developing Karamoja indigenous knowledge data base lies in visible feature that predict soil quality. Farmers used 36 parameters to determine SQ. The parameters were clustered into five categories; soil, crop, biological, environmental and management each category contributing to 42, 19,14,8 and 17% of the total indicators, respectively. The relationship between age group and the perceived indicators of soil fertility was statistically significant (p-value = 0.045) with the majority stating that they use either soil colour, soil depth or soil texture to express the fertility of soil. The farmer’s soil quality indicators assessed in this study, is important in establishing indigenous-scientific hybrid knowledge data base to enhance soil fertility maintenance and better inform policy makers and other stakeholders on development of sustainable land use strategies.

Quantifying sensitive soil quality indicators across contrasting long-term land management systems: Crop rotations and nutrient regimes

2017 ◽  
Vol 248 ◽  
pp. 123-135 ◽  
Author(s):  
Mina Kiani ◽  
Guillermo Hernandez-Ramirez ◽  
Sylvie Quideau ◽  
Elwin Smith ◽  
Henry Janzen ◽  
...  
Keyword(s):  
Soil Quality ◽  
Quality Indicators ◽  
Land Management ◽  
Crop Rotations ◽  
Management Systems ◽  
Soil Quality Indicators

Multivariate analysis and modeling of soil quality indicators in long-term management systems

2019 ◽  
Vol 657 ◽  
pp. 457-465 ◽  
Author(s):  
Marcelo de Andrade Barbosa ◽  
Rener Luciano de Sousa Ferraz ◽  
Edson Luiz Mendes Coutinho ◽  
André Mendes Coutinho Neto ◽  
Marcio Silveira da Silva ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Soil Quality ◽  
Quality Indicators ◽  
Management Systems ◽  
Soil Quality Indicators ◽  
Term Management

scholarly journals Soil Quality Indicators as an Assessment Tool to Maximize the Productivity of Pulse Crops

2020 ◽  
pp. 89-95
Author(s):  
B. Bhakiyathu Saliha ◽  
R. Indrani ◽  
C. Priyanka
Keyword(s):  
Cation Exchange ◽  
Soil Quality ◽  
Quality Indicators ◽  
Cation Exchange Capacity ◽  
Assessment Tool ◽  
Principal Component ◽  
Exchange Capacity ◽  
High Yield ◽  
Soil Quality Indicators ◽  
Available Nitrogen

The present research investigation was taken up  during 2017-2019 to evaluate the properties and fertility status of soils through physical, chemical and biological indicators of soil quality in the major pulse growing regions which were classified into three categories viz., low yielding (< 400kg ha-1), medium (400 to 700 kg ha-1) and high yielding (> 700 kg ha-1). 300 samples collected from these zones were subjected to analysis and weight ages were assigned to each soil quality attribute through Principal Component Analysis (PCA) and those that explain at least 5% of the variation in the data were examined by using SPSS software. The mean percentage of water stable aggregates was the highest (51%) in high yielding soils which can be attributed to the beneficial effect of organic manure application and balanced fertilizer usage. Most of the samples in the high yielding soils were neutral to slightly alkaline (pH of 7.20 to 7.85), while that of medium and low yielding soils were  moderately alkaline and neutral to slightly alkaline respectively. However low yield category had an average cation exchange capacity of 12.2 c mol (p+) kg-1, whereas that of medium and high yield  categories recorded 21.8 and 36.9 c mol (p+) kg-1 respectively. The soils of high, medium and low yield zones recorded 282,234 and 138 kg ha-1 of available nitrogen respectively. The sulphur status in pulse growing soils revealed deficiency in 88 percent of the samples from low yielding zones which needs due attention. The overall results of the study concluded that the higher values of soil attributes such as aggregate stability, cation exchange capacity, organic carbon, available nitrogen, available potassium and extractable micronutrients corresponded well with the high yield category indicating the importance of these soil quality indicators for improving the pulse productivity in low yield zones.

scholarly journals UTILIZAÇÃO DE INDICADORES PARTICIPATIVOS DE QUALIDADE DO SOLO EM SISTEMAS DE PRODUÇÃO AGRÍCOLA FAMILIAR

Nativa ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 671-678
Author(s):  
Pedro Victor Castro Silva ◽  
Maria Ivanilda De Aguiar ◽  
Francisca Maria Maciel Dantas ◽  
Maria Valdenira Rodrigues De Almeida ◽  
Leandra de Oliveira Costa ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Soil Quality ◽  
Quality Indicators ◽  
Agricultural Production ◽  
Soil Cover ◽  
Production Systems ◽  
Principal Component ◽  
Agricultural Systems ◽  
Soil Quality Indicators ◽  
Agricultural Production Systems

Avaliar os sistemas agrícolas permite inferir sobre a sustentabilidade dos manejos praticados. Neste sentido, objetivou-se avaliar a qualidade do solo em diferentes sistemas de produção utilizando indicadores visuais. Foram avaliados oito consórcios tradicionais em diferentes períodos de adoção, localizados em três municípios cearenses. Utilizou-se metodologia participativa, escolhendo-se 12 indicadores de qualidade do solo, aos quais foram atribuídas notas de 1 a 10, de acordo com critérios pré-estabelecidos. Os dados foram avaliados por meio de análises descritivas e multivariada (Análise de componentes principais - ACP). Todos os consórcios avaliados apresentaram níveis satisfatórios de qualidade do solo com médias acima de cinco. Dois consórcios, um localizado em Choró (Consórcio 02 Choró - C2C) e outro em Acarape (Consórcio 01 Assentamento – C1A) se destacaram dos demais, apresentando as maiores médias (8,9). A inserção de práticas edáficas, a exemplo da aplicação de bagana de carnaúba como cobertura do solo favoreceu a qualidade do solo, contribuindo para sua conservação. Palavras-chave: bagana de carnaúba; metodologia participativa; cobertura do solo; agroecologia.   Use of participative soil quality indicators in family agricultural production systems   ABSTRACT: Evaluating agricultural systems allows inferring about the sustainability of the practices practiced. In this sense, the objective was to evaluate soil quality in different production systems using visual indicators. Eight traditional consortia were evaluated at different use periods, located in three counties in Ceará. Consortia are groups of many species of plants living in the same area. Participatory methodology was used, choosing 12 soil quality indicators, which were given scores from 1 to 10, according to pre-established criteria. The data were evaluated using descriptive and multivariate analysis (Principal Component Analysis - PCA). All consortia evaluated showed satisfactory levels of soil quality with averages above five. Two consortia, one located in Choró (Consortium 02 Choró - C2C) and another in Acarape (Consortium 01 Settlement - C1S) stood out from the others, with the highest averages (8.9). The insertion of edaphic practices, such as the application of carnauba bagana as soil cover, favored soil quality, contributing to its conservation. Keywords: carnauba bagana; participatory methodology; land cover; agroecology.

EVALUATION OF SOIL QUALITY INDICATORS BY A PARTICIPATORY METHOD IN RURAL SETTLEMENTS IN SOUTHERN BAHIA, BRAZIL

2015 ◽  
Vol 27 (3) ◽  
pp. 219-232
Author(s):  
Antônio W. O. Rocha Junior ◽  
Guilherme A. H. A. Loureiro ◽  
Quintino R. Araujo ◽  
George A. Sodré ◽  
Arlicélio Q. Paiva ◽  
...  
Keyword(s):  
Soil Quality ◽  
Quality Indicators ◽  
Rural Settlements ◽  
Soil Quality Indicators ◽  
Southern Bahia ◽  
Participatory Method

scholarly journals Effects of Soil and Water Conservation Measures on Soil Quality Indicators: The Case of Geshy Subcatchment, Gojeb River Catchment, Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-16 ◽  
Author(s):  
Melku Dagnachew ◽  
Awdenegest Moges ◽  
Asfaw Kebede ◽  
Adane Abebe
Keyword(s):  
Soil Quality ◽  
Quality Indicators ◽  
Water Conservation ◽  
Soil And Water Conservation ◽  
Land Resources ◽  
Soil Quality Indicators ◽  
Volumetric Soil Water Content ◽  
River Catchment ◽  
The Status ◽  
Soil And Water

Land degradation is a global negative environmental process that causes the decline in the productivity of land resources’ capacity to perform their functions. Though soil and water conservation (SWC) technologies have been adopted in Geshy subcatchment, their effects on soil quality were limitedly studied. The study was conducted to evaluate the effects SWC measures on soil quality indicators in Geshy subcatchment, Gojeb River Catchment, Ethiopia. A total of 54 soil samples (two treatments–farmlands with and without SWC measures ∗ three slope classes ∗ three terrace positions ∗ three replications) were collected at a depth of 20 cm. Statistical differences in soil quality indicators were analyzed using multivariate analysis of variance (ANOVA) following the general linear model procedure of SPSS Version 20.0 for Windows. Means that exhibited significant differences were compared using Tukey’s honest significance difference at 5% probability level. The studied soils are characterized by low bulk density, slightly acidic with clay and clay loam texture. The results revealed that farmlands with SWC measures had significantly improved soil physical (silt and clay fractions, and volumetric soil water content (VSWC)) and chemical (pH, SOC, TN, C : N ratio, and Av. phosphorus) quality indicators as compared with farmlands without SWC measures. The significantly higher VSWC, clay, SOC, TN, C : N ratio, and Av. P at the bottom slope classes and terrace positions could be attributed to the erosion reduction and deposition effects of SWC measures. Generally, the status of the studied soils is low in SOC contents, TN, C : N ratio, and Av. P (deficient). Thus, integral use of both physical and biological SWC options and agronomic interventions would have paramount importance in improving soil quality for better agricultural production and productivity.

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