Diffuse reflectance spectroscopy (DRS) for rapid soil testing and soil quality assessment in smallholder farms

• Published in: European journal of soil science Vol. 74; no. 2
• Main Authors: Majeed, Israr, Garg, Kaushal K., Venkataradha, A., Purushothaman, Naveen K., Roy, Sourav, Reddy, Nagarjuna N., Singh, Ramesh, Anantha, K. H., Dixit, Sreenath, Das, Bhabani S.
• Format: Journal Article
• Language: English
• Published: Oxford, UK Blackwell Publishing Ltd 01.03.2023; Wiley Subscription Services, Inc
• Subjects: Analytical methods; Boron; Calcium; Chemical properties; Chemicophysical properties; chemometric models; Copper; Correlation analysis; Crop yield; Datasets; Diffuse reflectance spectroscopy; Electrical conductivity; Electrical resistivity; Farm income; Farms; Iron; Nickel; Nutrient availability; Nutrient content; Nutrients; Organic carbon; Organic soils; Parameters; Potassium; Quality assessment; Quality control; Ratings; Reflectance; Small farms; Soil; Soil chemistry; Soil degradation; Soil nutrients; Soil pH; Soil properties; Soil quality; soil quality index; Soil surfaces; soil test crop response rating; Soil testing; Soils; Spectroscopy; Sulphur; Testing
• ISSN: 1351-0754; 1365-2389
• DOI: 10.1111/ejss.13358

Rapid soil testing and soil quality assessment are essential to address soil degradation and low farm incomes in smallholder farms. With the objective of testing diffuse reflectance spectroscopy (DRS) to rapidly assess soil chemical properties, nutrient content and a soil quality index (SQI), samples of surface soil were collected from 1113 smallholder farms in seven districts in Bundelkhand region of Uttar Pradesh, India. A minimum dataset (MDS) approach was followed to estimate SQI using the three chemical parameters of soil pH, electrical conductivity (EC) and soil organic carbon (SOC), and 11 different soil nutrients. Principal component and correlation analyses showed that soil pH, SOC content and three available nutrients − copper (Cu), iron (Fe) and sulphur (S) − may constitute the MDS. Estimated SQI values showed strong positive correlation with crop yields. Results of chemometric modelling showed that the DRS approach could yield the coefficient of determination (R2) values in the validation datasets ranging from 0.79 to 0.94 for exchangeable calcium (Ca) followed by 0.67–0.88 for exchangeable potassium (K), 0.52–0.86 for SOC and 0.53–0.81 for available boron (B) content. Except in one district, the DRS approach could be used to estimate SQI values with R2 values in the range of 0.63–0.81; an R2 value of 0.71 was obtained in the pooled dataset. We also estimated the three‐tier soil test crop response (STCR) ratings to compare DRS and wet chemistry soil testing approaches. Similar STCR ratings were obtained for both these approaches in more than 86% of the samples. Parameters for which both the methods yielded similar ratings in more than 80% of the samples were EC (>98%), pH and exchangeable Ca (>81%) and available B (>89%). With similar ratings, these results suggest that the DRS approach may safely be used for farmers' fields, replacing the traditional wet analysis approach of soil testing.