Rotation of broad bean improves the soil quality of facility green house

2017 ◽  
Author(s):  
Yunying Cao ◽  
Chunfang Wu ◽  
Lingjuan Wang ◽  
Moxian Chen ◽  
Hua Zhao ◽  
...  
Keyword(s):  
Soil Quality ◽  
Enzyme Activities ◽  
Crop Yields ◽  
Broad Bean ◽  
Salt Content ◽  
Chemical Properties ◽  
Available Nitrogen ◽  
Broad Beans ◽  
Rotation Crop

The soil quality in facilities greenhouses is serious deteriorated. Broad bean (Vicia faba L.) can improve soil major composition by the symbiosis with abundant Rhizobium in their root systems. In order to identify whether broad beans can improve soil quality in facilities greenhouses, this study used the soil samples from ten facilities sheds planting before and after broad bean as a rotation crop. We monitored the change of critical indicators which can reflect the quality of soil, including soil physical, chemical property and enzyme activities. The results showed that planting broad beans reduced pH by 0.29~1.52 Unit and increased available nitrogen by 16.8%~278.6%, phosphorus by 30.6%~1071.1%, potassium by 29.3%~395.7% and organic carbon by 19.3%~29.2% in soil. Furthermore, salt content changed significantly by 37.5%~323.3%. In addition, planting broad beans enhanced protease, urease, sucrose and catalase activities in soil. The improvement of soil increased the rotation crop yields by 3.0%~25%. Our results suggest that rotation with broad beans improved the physical and chemical properties of soil, enhanced soil enzyme activities and increased the crop yields, which can play an important application in facilities sheds.

Physico-chemical Properties and Soil Quality of Waste Paper-Growing Media on Slope Surface

2018 ◽  
Vol 50 (1) ◽  
pp. 54-64
Author(s):  
Ji Young Jung ◽  
Si Young Ha ◽  
Chul Hwan Kim ◽  
Han-Min Park ◽  
Gi Young Kweon ◽  
...  
Keyword(s):  
Soil Quality ◽  
Chemical Properties ◽  
Waste Paper ◽  
Slope Surface ◽  
Growing Media ◽  
Physico Chemical

scholarly journals Assessing the Influence of Soil Quality on Rainfed Wheat Yield

Agriculture ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 469
Author(s):  
Kamal Nabiollahi ◽  
Eskandari Heshmat ◽  
Amir Mosavi ◽  
Ruth Kerry ◽  
Mojtaba Zeraatpisheh ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Soil Quality ◽  
Agricultural Land ◽  
Crop Yields ◽  
Wheat Yield ◽  
Data Set ◽  
Study Region ◽  
Soil Quality Assessment ◽  
Rainfed Wheat

Soil quality assessment based on crop yields and identification of key indicators of it can be used for better management of agricultural production. In the current research, the weighted additive soil quality index (SQIw), factor analysis (FA), and multiple linear regression (MLR) are used to assess the soil quality of rainfed winter wheat fields with two soil orders on 53.20 km2 of agricultural land in western Iran. A total of 18 soil quality indicators were determined for 100 soil samples (0–20 cm depth) from two soil orders (Inceptisols and Entisols). The soil properties measured were: pH, soil texture, organic carbon (OC), cation exchange capacity (CEC), electrical conductivity (EC), soil microbial respiration (SMR), carbonate calcium equivalent (CCE), soil porosity (SP), bulk density (BD), exchangeable sodium percentage (ESP), mean weight diameter (MWD), available potassium (AK), total nitrogen (TN), available phosphorus (AP), available Fe (AFe), available Zn (AZn), available Mn (AMn), and available Cu (ACu). Wheat grain yield for all of the 100 sampling sites was also gathered. The SQIw was calculated using two weighting methods (FA and MLR) and maps were created using a digital soil mapping framework. The soil indicators determined for the minimum data set (MDS) were AK, clay, CEC, AP, SMR, and sand. The correlation between the MLR weighting technique (SQIw-M) and the rainfed wheat yield (r = 0.62) was slightly larger than that the correlation of yield with the FA weighted technique (SQIw-F) (r = 0.58). Results showed that the means of both SQIw-M and SQIw-F and rainfed wheat yield for Inceptisols were higher than for Entisols, although these differences were not statistically significant. Both SQIw-M and SQIw-F showed that areas with Entisols had lower proportions of good soil quality grades (Grades I and II), and higher proportions of poor soil quality grades (Grades IV and V) compared to Inceptisols. Based on these results, soil type must be considered for soil quality assessment in future studies to maintain and enhance soil quality and sustainable production. The overall soil quality of the study region was of poor and moderate grades. To improve soil quality, it is therefore recommended that effective practices such as the implementation of scientifically integrated nutrient management involving the combined use of organic and inorganic fertilizers in rainfed wheat fields should be promoted.

Soil Quality Assessment at Nganglam, Bhutan

2019 ◽  
pp. 179-194
Author(s):  
Pawan Kumar Bharti
Keyword(s):  
Soil Quality ◽  
Chemical Properties ◽  
Radial Distance ◽  
Environment Impact ◽  
Sources Of Pollution ◽  
Reconnaissance Survey ◽  
Environment Impact Assessment ◽  
Sampling Locations ◽  
Physico Chemical

The study area considered for environment impact assessment (EIA) studies is an area covering 5 kms radial distance from proposed plant site in the foothills of Himalaya at Nganglam, Pemagatshel, Bhutan. Analyzing the soil samples collected from six locations in the study area has assessed the soil characteristics in the study area, especially the extent of pollution undergone by the soils due to various sources and reasons. Sampling locations were chosen to represent the soil quality of the study area. A preliminary reconnaissance survey was made to get a general picture of the area's land use. The activities around the sampling sites were also taken into consideration to learn the sources of pollution if any or factors governing the physico-chemical properties of the soil. To analyze the soil quality of the area and to assess the impact of industrial or urban activities on land environment with respect to any specific contamination, soil quality studies were carried out under EIA study.

Integration of farmers’ knowledge and science-based assessment of soil quality for peri-urban vegetable production in Ghana

2018 ◽  
Vol 35 (2) ◽  
pp. 128-139
Author(s):  
Peter Bilson Obour ◽  
Frederick Asankom Dadzie ◽  
Emmanuel Arthur ◽  
Lars J. Munkholm ◽  
Courage Kosi Setsoafia Saba ◽  
...  
Keyword(s):  
Soil Quality ◽  
Performance Indicators ◽  
Agricultural Production ◽  
Chemical Properties ◽  
Mineral Fertilizers ◽  
Vegetable Production ◽  
Visual Evaluation ◽  
Mutual Learning ◽  
Soil Quality Assessment

AbstractThis study, based on vegetable production fields, combined soil quality assessed by three approaches (qualitatively by farmers, semi-quantitatively by a researcher and quantitatively by laboratory analyses) with the aim of improving the integration of the different approaches. We interviewed 79 peri-urban vegetable growers in two communities within the Sunyani Municipality, Ghana. Eight of the farmers were selected to participate in the farmer-based assessment of soil quality. Further, visual evaluation of soil quality was conducted by the researcher, followed by laboratory analyses of soil properties to corroborate the farmers’ assessment of good and poor soils in their fields. Results showed that the farmers used locally-defined characteristics to describe the physical, biological and crop performance indicators of soil quality. There was, in general, limited use and understanding of soil chemical properties as indicators of soil quality. The farmers’ perception on soil quality of their fields largely influenced their decision on the type of crops they cultivate, and application regimes of mineral fertilizers. Results from the visual evaluation by the researcher agreed in some respects with the farmers’ assessment of soil quality of the good and poor soils in their respective farms. Laboratory analyses did not show specific trends for the content of chemical properties for neither good nor poor soils. The study highlighted that none of the approaches of soil quality assessment is necessarily superior in and of itself. We emphasized the need for integration to capitalize on the strengths of each approach, enhance mutual learning between farmers and soil scientists, build the capacity of farmers, and improve their decision on soil use for agricultural production.

scholarly journals Assessing the Influence of Soil Quality on Rainfed Wheat Yield

2020 ◽  
Author(s):  
Kamal Nabiollahi ◽  
Eskandari Heshmat ◽  
Amir Mosavi ◽  
Ruth Kerry ◽  
Mojtaba Zeraatpisheh ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Soil Quality ◽  
Agricultural Land ◽  
Crop Yields ◽  
Wheat Yield ◽  
Data Set ◽  
Study Region ◽  
Soil Quality Assessment ◽  
Rainfed Wheat

Soil quality assessment based on crop yields and identification of key indicators of it can be used for better management of agricultural production. In the current research, the weighted additive soil quality index (SQIw), factor analysis (FA) and multiple linear regression (MLR) method are used to assess the soil quality of rainfed winter wheat fields with two soil orders on 53.20 km2 of agricultural land in western Iran. A total of 18 soil quality indicators were determined for 100 soil samples (0-20 cm depth) from two soil orders (Inceptisols and Entisols). The soil properties measured were: pH, soil texture, organic carbon (OC), cation exchange capacity (CEC), electrical conductivity (EC), soil microbial respiration (SMR), carbonate calcium equivalent (CCE), soil porosity (SP), bulk density (BD), exchangeable sodium percentage (ESP), mean weight diameter (MWD), available potassium (AK), total nitrogen (TN), available phosphorus (AP), available Fe (AFe), available Zn (AZn), available Mn (AMn), and available Cu (ACu). Mean wheat grain yield for the two years for all of the 100 sampling sites was also gathered. The SQIw was calculated using two weighting methods (FA and MLR) and maps were created using a digital soil mapping framework. The soil indicators taken in the minimum data set (MDS) were AK, clay, CEC, AP, SMR, and sand. The correlation between the MLR weighting technique (SQI-M) and the rainfed wheat yield (r=0.62) was slightly larger than that the correlation of yield with the FA weighted technique (SQI-F) (r=0.58). Results showed that the means of both SQI-M and SQI-F and rainfed wheat yield for Inceptisols were higher than for Entisols although these differences were not statistically significant. Both SQI-M and SQI-F showed that areas with Entisols had lower proportions of good soil quality grades (Grade I and II), and higher proportions of poor soil quality grades (Grade IV and V) compared to Inceptisols. Based on these results, soil type must be considered for soil quality assessment in future studies to maintain and enhance soil quality and sustainable production. The overall soil quality of the study region was of poor and moderate grades. To improve soil quality, it is therefore recommended that effective practices such as the implementation of scientific integrated nutrient management involving the combined use of organic and inorganic fertilizers in rainfed wheat fields be promoted.

Sign in / Sign up

Export Citation Format

Share Document