The Assessment of Soil Quality at Paddy Fields in Merauke, Indonesia (original) (raw)
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Agricultural Science Digest, Volume 43 Issue 1: 40-45 (February 2023), 2023
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Journal of Agricultural Studies, 2017
Rice or paddy is a staple food in some countries. The need for food is huge as the population growth increase, in Wonogiri regency majority of the land area is used as paddy field and land intensification is done to improve productivity. Land intensification raises the issues of having no definitive measure about the status of soil improvement after the cultivation practices of Paddy (Oryza sativa) has been done, in addition, the diversity of age utilization of paddy field by farmers resulting the differences in productivity that will affect the quality difference of the paddy field soil. The assessment is aimed to determine the soil quality function whether it’s good or bad after doing such land cultivation practices for a certain period. The assessment of soil quality is using data analysis method from the influential indicators based on the nature of at least the Minimum Data Set (MDS) that is obtained based on calculations of Principal Component Analysis (PCA). Indicators that a...
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Agriculture 3.0 and Agriculture 4.0 requires appropriate agricultural practices, including soil data that are practical, accurate, and easy to understand. Using soil type maps and land suitability class maps for soil information not only challenges users but also does not provide soil quality information such as production potential and plant growth and production inhibitors. Other techniques that can provide more appropriate soil information for agricultural purposes are thus needed. This research suggests the soil assessment system Soil Quality Index Plus, which provides accessible information regarding soil conditions and plant growth and production inhibitors in the context of dryland farming. Field trials were conducted in 36 locations across five regencies in West Java, Indonesia. Soil Quality Index Plus accurately assessed soil quality by using 11 key parameters as a dataset: effective depth, texture class, bulk density, drainage, pH, cation exchange capacity, total organic n...
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Soil quality is a measure of the condition of soil. The goal of sustainable agriculture is to maintain a non-negative trend in productivity while maintaining soil quality. Susukan is an area in Semarang, Central Java, Indonesia, which has developed organic farming to increase rice productivity and quality. The main objective was to determine the sustainability of organic rice cropping systems. The organic farming system at the research location has been conducted for 8 years. Appropriate agricultural management can maintain the quality of soil, environment and improve the health of plants, animals and humans. This research aims to know the soil quality and determine the minimum data set (MDS) in organic and non-organic paddy field with a technical irrigation system. Paddy soil samples were analyzed in the laboratory. The parameters are porosity, permeability, hydrogen potential (pH), cation exchange capacity (CEC), soil organic matter (SOC), total-N (nitrogen), carbon/nitrogen (C/N)...
Soil quality index (SQI) as a tool to evaluate crop productivity in semi-arid Deccan plateau, India
Geoderma, 2016
Assessment of soil quality index (SQI) using only the surface soil properties provides an incomplete information as the crop productivity is influenced by both surface and subsurface properties, with the latter being inherently linked to pedogenic processes. Two different SQIs were estimated for soil surface (0-15 cm) and control section (0-100 cm) using soil profile data of six identified soil series in part of semi-arid tropical (SAT) Deccan plateau and correlated with crop yield. Principal component analysis (PCA) and expert opinion (EO) methods were used for selecting minimum soil data set (MDS). Additive and weighted index methods were compared for SQI estimation. SQI obtained showed variation as PCA and EO methods produced different results. In general, weighted index SQIs were better correlated with crop yield than the additive index SQIs for both PCA and EO methods. EO derived weighted index SQI were comparable for both surface and control section except for few cases and consistent in their correlation with the crop yield, indicating its better performance as compared to PCA. Reason is that the PCA is a data dimension reduction technique whereas EO method is primarily conceived by the experts on cause-effect relationship of soil properties (such as hydraulic conductivity, CaCO 3 and exchangeable sodium percentage) that are influenced by regressive pedogenic processes in SAT environments. Results showed that consideration of both surface and control section soil properties helps in establishing a good relationship between soil functions and management goal. In addition, it also satisfies the need to integrate both surface and subsurface soil information for soil quality assessment.