scholarly journals Soil-Quality Assessment during the Dry Season in the Mun River Basin Thailand

Land ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 61
Author(s):  
Chunsheng Wu ◽  
Erfu Dai ◽  
Zhonghe Zhao ◽  
Youxiao Wang ◽  
Gaohuan Liu
Keyword(s):  
Quality Assessment ◽  
Soil Quality ◽  
River Basin ◽  
Soil Nutrient ◽  
Dry Season ◽  
Soil Conditions ◽  
Data Set ◽  
Soil Quality Assessment ◽  
The Status ◽  
Better Than

The Mun River Basin is one of Thailand’s major grain-producing areas, but the production is insufficient, and most of the cultivated lands are rain-fed and always unused in the dry season. All this makes it necessary to determine the status of soil nutrients and soil quality in the dry season to improve soil conditions, which will be useful for cultivation in the farming period. The aim of this study was to construct a soil-quality assessment based on soil samples, and in the process the minimum data set theory was introduced to screen the assessment indicators. The geographically weighted regression method was used to complete the spatial interpolation process of indicators, and the fuzzy logic model was constructed to evaluate the soil quality. The results showed that the spatial distributions of soil quality and indicators were similar. The soil quality was the best in the upstream while poor in the downstream, and the dry fields in the west and the forests in the east of the basin were better than other areas nearby. However; the soil qualities of paddy fields in the middle and east of the basin were poor due to the lack of soil nutrient supply when the fields were unused

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.

scholarly journals A Study of the Spatial Difference of the Soil Quality of The Mun River Basin during the Rainy Season

2019 ◽  
Vol 11 (12) ◽  
pp. 3423 ◽  
Author(s):  
Chunsheng Wu ◽  
Qingsheng Liu ◽  
Guoxia Ma ◽  
Gaohuan Liu ◽  
Fang Yu ◽  
...  
Keyword(s):  
Soil Quality ◽  
River Basin ◽  
Rainy Season ◽  
Crop Production ◽  
Soil Condition ◽  
Soil Conditions ◽  
Eastern Region ◽  
Data Set ◽  
Main Period

The Mun River basin is one of the main grain-producing areas of Thailand, and the rainy season is the main period for crop planting after being idle during the dry season. However, the soil conditions are variable, so an assessment of soil quality during the rainy season is necessary for improving soil condition and crop production. The aim of this study was to conduct a soil quality assessment based on soil samples. To attain that, a minimum data set theory was used to screen evaluation indicators and geographically weighted regression was performed to obtain spatial interpolations of indicators, while the fuzzy logic model was used to determine the soil quality results. The results showed that the contents of indicators had similar spatial trends as their contents declined from the western to the eastern region of the basin. The soil quality results showed that the poor soil was in the middle of the basin, where the main land use is paddy fields, and the good soil was in the southwest of the basin, where forests and dry fields are widely distributed. The results indicated that the soil quality in the Mun River basin varied greatly, especially for farmland, so these findings will be helpful for improving soil conditions and grain production in the Mun River basin.

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