Soil fertility monitoring and mapping with a minimal set of data: A case study for rice paddies

Author:

Mohapatra Kiran Kumar1,Patra Ranjan Kumar1,Nayak Amaresh Kumar2,Tripathi Rahul2,Mishra Kshitendra Narayan1,Garnayak Lalita Mohan1,Rath Bama Shankar1,Kumar Anjani2

Affiliation:

1. Odisha University of Agriculture and Technology, Bhubaneswar, Odisha, India

2. ICAR-National Rice Research Institute, Cuttack, Odisha, India

Abstract

Odisha is an agrarian state where 73% population dependent on farming and most of them are small and marginal farmer. Farmers of this state also vulnerable to different natural extreme events like flood, drought and cyclone. For sustainable crop production it is essential to develop a village level the soil fertility index (SFI) map at a higher resolution. A total of 192 gridded soil samples with a resolution of 0.5 km × 0.5 km were collected in Tangi Choudwar. The Soil organic carbon (SOC), available Nitrogen (N), Phosphorous (P), potassium (K), and micronutrient (Fe, Cu, Mn, Zn and B) maps were developed using spatial variability analysis. Then a complete soil fertility index map was developed using the Arc GIS software. In spatial variability analysis SOC and micronutrients (Fe, Cu, Mn, Zn and B) content were higher in NE site of Tangi Choudwar block. The SFI value was range between 0.21 to 0.62 with higher SFI in reported at NE site. Person’s correlation of rice grain yield showed a positively correlation with SFI (0.44, P<0.05). These results showed that soil fertility index can be used in precision agriculture during crop planning and restoration of soil fertility of a region.

Publisher

Association of Rice Research Workers

Subject

General Medicine

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