scholarly journals Soil quality evaluation following the implementation of permanent cover crops in semi-arid vineyards. Organic matter, physical and biological soil properties

2012 ◽  
Vol 10 (4) ◽  
pp. 1121 ◽  
Author(s):  
I. Virto ◽  
M. J. Imaz ◽  
O. Fernández-Ugalde ◽  
I. Urrutia ◽  
A. Enrique ◽  
...  
Keyword(s):  
Organic Matter ◽  
Soil Properties ◽  
Soil Quality ◽  
Cover Crops ◽  
Quality Evaluation ◽  
Semi Arid

scholarly journals Physical properties and particle-size fractions of soil organic matter in crop-livestock integration

2012 ◽  
Vol 36 (4) ◽  
pp. 1299-1310 ◽  
Author(s):  
Carolina Tirloni ◽  
Antonio Carlos Tadeu Vitorino ◽  
Anderson Cristian Bergamin ◽  
Luiz Carlos Ferreira de Souza
Keyword(s):  
Organic Matter ◽  
Soil Quality ◽  
Crop Rotation ◽  
Cover Crops ◽  
Chemical Properties ◽  
Environmental Stability ◽  
Native Forest ◽  
Physical And Chemical Properties ◽  
Physical And Chemical ◽  
And Chemical Properties

Crop-livestock integration represents an interesting alternative of soil management, especially in regions where the maintenance of cover crops in no-tillage systems is difficult. The objective of this study was to evaluate soil physical and chemical properties, based on the hypothesis that a well-managed crop-livestock integration system improves the soil quality and stabilizes the system. The experiment was set up in a completely randomized design, with five replications. The treatments were arranged in a 6 x 4 factorial design, to assess five crop rotation systems in crop-livestock integration, and native forest as reference of soil undisturbed by agriculture, in four layers (0.0-0.05; 0.05-0.10; 0.10-0.15 and 0.15-0.20 m). The crop rotation systems in crop-livestock integration promoted changes in soil physical and chemical properties and the effects of the different systems were mainly detected in the surface layer. The crops in integrated crop-livestock systems allowed the maintenance of soil carbon at levels equal to those of the native forest, proving the efficiency of these systems in terms of soil conservation. The systems influenced the environmental stability positively; the soil quality indicator mineral-associated organic matter was best related to aggregate stability.

Cover crops and tillage influence soil organic matter and nitrogen availability in a semi-arid vineyard

2012 ◽  
Vol 58 (sup1) ◽  
pp. SS95-SS102 ◽  
Author(s):  
Fernando Peregrina ◽  
Eva Pilar Pérez-Álvarez ◽  
Mikel Colina ◽  
Enrique García-Escudero
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Cover Crops ◽  
Nitrogen Availability ◽  
Semi Arid

scholarly journals In situ near-infrared spectroscopy for soil organic matter prediction in paddy soil, Pasak watershed, Thailand

2018 ◽  
Vol 64 (No. 2) ◽  
pp. 70-75 ◽  
Author(s):  
Romsonthi Chutipong ◽  
Tawornpruek Saowanuch ◽  
Watana Sumitra
Keyword(s):  
Organic Matter ◽  
Infrared Spectroscopy ◽  
Soil Organic Matter ◽  
Soil Properties ◽  
Soil Quality ◽  
Near Infrared Spectroscopy ◽  
Spectral Reflectance ◽  
Near Infrared ◽  
Partial Least Square

Soil organic matter (SOM) is a major index of soil quality assessment because it is one of the key soil properties controlling nutrient budgets in agricultural production systems. The aim of the in situ near-infrared spectroscopy (NIRS) for SOM prediction in paddy area is evaluation of the potential of SOM and prediction of other soil properties. There are keys for soil fertility and soil quality assessments. A spectral reflectance of 130 soil samples was collected by field spectroradiometer in a region of near-infrared. Spectral reflectance collections were processed by the first derivative transformation with the Savitsky-Golay algorithms. Partial least square regression method was used to develop a calibration model between soil properties and spectral reflectance, which was used for prediction and validation processes. Finally, the results of this study demonstrate that NIRS is an effective method that can be used to predict SOM (R<sup>2</sup> = 0.73, RPD (ratio of performance to deviation) = 1.82) and total nitrogen (R<sup>2</sup> = 0.72, RPD = 1.78). Therefore, NIRS is a potential tool for soil properties predictions. The use of these techniques will facilitate the implementation of soil management with a decreasing cost and time of soil study in a large scale. However, further works are necessary to develop more accurate soil properties prediction and to apply this method to other areas.

scholarly journals Semi-Arid Plantation by Anatolian Black Pine and Its Effects on Soil Erosion and Soil Properties

2018 ◽  
Vol 6 (4) ◽  
pp. 500 ◽  
Author(s):  
Sezgin Hacisalihoglu
Keyword(s):  
Land Use ◽  
Organic Matter ◽  
Soil Properties ◽  
Soil Sample ◽  
Soil Loss ◽  
Unit Area ◽  
Soil Depth ◽  
Black Pine ◽  
Semi Arid ◽  
Anatolian Black Pine

In this study, the effects of Anatolian Black pine [(Pinus nigra Arn. subsp. pallasiana (Lamb.) Holmboe] plantation on hydro-physical soil properties and soil loss were investigated. This study was carried out on the afforestation field of Anatolian Black Pine in the Gölbaşı district of Ankara province, which is included in the arid and semi-arid regions. Totally 48 soil sample in two soil depth level (0-20cm, 20-50cm) were collected from forest (36 soil sample) and barren (control) area (12 soil sample). Hydro-physically important soil properties were analysed [Sand (%), Silt (%), Clay (%), Organic Matter (%), pH, Field Capacity (%), Wilting Point (%), Saturation (%), Available Water Holding Capacity (cm/cm) Saturated Hydraulic Conductivity (cm/hr), Bulk Density (gr/cm3)]. And soil loss in a unit area by using ABAG (Allgemeine Boden Abtrags Gleichung) model was estimated. Soil properties and soil loss amount relations among the land use group were determined. Topsoil (0-20cm) and subsoil (20-50cm) properties except subsoil organic matter were significantly affected by land use group. Finally, Significant changes were found for annual soil loss amounts in a unit area. Avarage annual soil loss in planted area was found approximately 5.5 times less than barren area at 0-50 cm soil depth. Vegetation factor (C) which is one of the most important components of the soil loss equation, has been significantly affected by afforestation in a short period of 40 years and thus it was a variable to reduce to soil loss.

scholarly journals SOIL QUALITY EVALUATION IN RANGELAND SOILS IN RELATION TO HEAVY METALS POLLUTION

2006 ◽  
Vol 28 (63) ◽  
Author(s):  
E. U. Onweremadu ◽  
I. C. Okoli ◽  
O. O. Emenalom ◽  
M. N. Opara ◽  
E. T. Eshett
Keyword(s):  
Heavy Metals ◽  
Organic Matter ◽  
Soil Quality ◽  
Quality Evaluation ◽  
Anthropogenic Activities ◽  
Soil Survey ◽  
Survey Technique ◽  
Morphological Index ◽  
Heavy Metals Pollution ◽  
Positive Correlations

Heightened anthropogenic activities at the study site necessitated this investigation on soil quality. A transect soil survey technique was used to link sampled points from an open dumpsite towards the river valley. Three minipedons were dug and sampled per location and collected samples were used for various laboratory analyses. Results showed that soils of the dumpsite (OB1) had the highest soil quality morphological index (SQMI) value of 3.82, indicating best quality while the least SQMI was found in the ranch (SQMI = 1.27). The SQMI had significant correlations with OM (organic matter) (r=0.82; p=0.001; n=72), clay (r=65; p=0.01; n=72), pH(r=0.58; p=0.01; n=72) and bulk density (r=0.71; p=0.05; p=0.05; n=72). Although there were positive correlations between SQMI and copper and cadmium, heavy metals were poor predictors of SQMI, indicating that soil quality evaluation by SQMI assesses mainly soil physical fertility.

scholarly journals Assessing the amount of soil organic matter and soil properties in high mountain forests in Central Anatolia and the effects of climate and altitude

2017 ◽  
Vol 63 (No. 5) ◽  
pp. 199-205 ◽  
Author(s):  
Göl Ceyhun
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Soil Properties ◽  
Arid Regions ◽  
Climatic Factors ◽  
Central Anatolia ◽  
High Mountain ◽  
Mountain Forests ◽  
Surface Soils ◽  
Semi Arid

The objectives of this study were to determine the amounts of soil organic matter (SOM) stored within surface soils of high mountain forests and how the SOM amounts are affected by aridity and altitude in semi-arid regions of Central Anatolia. Various climate and altitude conditions of Central Anatolia were included in this study, and SOM amounts were found to be higher in the surface soils of northern Anatolia forests. Our results showed that altitude, climatic factors, and tree species were the most important factors affecting the amount of SOM and other soil properties. SOM, pH, bulk density and available water content differed significantly depending on the altitude and climatic factors in the study areas. As the altitude increased in semi-arid regions, the aridity decreased and the amount of SOM increased.

Cover Crops

2017 ◽  
pp. 257-281 ◽  
Author(s):  
Vladan Ugrenović ◽  
Vladimir Filipović
Keyword(s):  
Organic Matter ◽  
Organic Farming ◽  
Soil Quality ◽  
Cover Crops ◽  
Farming Systems ◽  
Crop Rotations ◽  
Multiple Role ◽  
Pests And Diseases ◽  
Organic Farming Systems

The use of cover crops is widespread practice in organic farming systems. Cover crops can be defined as crops that are usually not grown commercially, and can have a multiple role in crop rotations. The benefit of cover crops has been known since long. Legumes are used as biological fixer of nitrogen for the next crop, and are established during periods when the soil is without major crops in order to reduce erosion. In recent years, the role of cover crops has been extended to the biocontrol of weeds, pests and diseases, as well as to the overall improvement of soil quality by increasing organic matter, encouraging the circulation of nutrients and reducing soil compaction. At the same time, their use tends to reduce costs and even create new sources of income on the farm.

Growth of Legume Cover Crops under Cassava and Its Effect on Soil Properties

2021 ◽  
Author(s):  
Suwarto . ◽  
Retno Asih
Keyword(s):  
Organic Matter ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Properties ◽  
Cover Crops ◽  
Cover Crop ◽  
Soil Moisture Content ◽  
Legume Cover Crops ◽  
Calopogonium Mucunoides ◽  
Legume Cover Crop

Background: Low soil organic carbon is a constraint to cassava tuber formation. Some legume cover crops could be an alternative to provide organic matter on the cassava field as a source of soil organic carbon. The study was aimed to evaluate the growth of some legume cover crops under cassava and their effects on soil properties. Methods: During September 2017-July 2018 legume cover crops (Calopogonium mucunoides, Centrosema pubescens, Pueraria javanica and the mixed) were planted under cassava variety of Mangu and UJ-5. The land coverage by the legume cover crops was measured monthly from 2 to 10 months after planting. Cassava growth was observed weekly from 8 to 32 weeks after planting. Soil properties were analyzed before planting and at harvesting of cassava. Result: Pueraria javanica was tolerant toward cassava shading. The land coverage was linearly increased along with the growth of cassava. At the end of cassava growth, the land area coverage by this legume cover crop was 98.08%. It produced more organic matter and could maintain soil moisture content than other legume cover crops. P. javanica could consider being a suitable legume cover crop under cassava to improve soil quality.

GIS AND STATISTICAL EVALUATION OF SOIL QUALITY OF SIDI YAHYA, GHARBPLAIN (MOROCCO)

2021 ◽  
Vol 9 (6) ◽  
pp. 881-893
Author(s):  
Mbark Lahmar ◽  
Najib El Khodrani ◽  
Serine Omrania ◽  
Houria Dakak ◽  
Ahmed Douaik ◽  
...  
Keyword(s):  
Organic Matter ◽  
Soil Properties ◽  
Soil Quality ◽  
Interpolation Method ◽  
Sustainable Use ◽  
Principal Component ◽  
Soil Parameters ◽  
Distance Weighted ◽  
Spatial Interpolation Method

The study of soil quality in irrigated areas is necessary to evaluate the sustainability of the agricultural production system. Indeed, the assessment of this quality is based on the physicochemical and biological characterization of soil parameters, as well as the knowledge of their spatial distribution and their evolution over time. This work aims to make a diagnosis of the current situation of soil quality of SidiYahya in the Gharb plain, Morocco. For this, sampling was carried out from 33 sites distributed over the studied plain during 2019. In this study, different soil properties including specifically texture, pH, electrical conductivity (EC), organic matter (OM), phosphorus (P2O5), and potassium (K2O) were measured while exchangeable sodium percentage (ESP) was calculated using the standard formula. Based on the observed soil properties a map was prepared by using a geographic information system (GIS), which was based specifically on the inverse distance weighted (IDW) spatial interpolation method. Data were processed using different statistical tools like descriptive statistics, correlation, and principal component analysis (PCA). Results of the study revealed that 70% of the soils have a heavy clayey texture with a predominance of vertisols (55%). Further, the study area soil is mainly alkaline (70%), poor in organic matter (61%) and phosphorus (52%), while very rich in potassium (70%), and non-saline (88%) contents. Soil pH was reported to be the least variable whereas sand, phosphorus, and salinity were the highest variable. IDW allowed mapping the soil properties by moving from punctual information to whole extent information. Furthermore, correlations were found between various soil properties by using PCA, 3 principal components (PCs) were able to extract 76% of the information from the 9 initial soil properties. Collected soil samples were grouped into 3 groups, based on their scores on the 3 PCs. Based on these two kinds of information, delineation of management zones can be established for a site-specific supply of agricultural inputs leading to better management of soil and water resources for securing their sustainable use.

Sign in / Sign up

Export Citation Format

Share Document