Sustainable soil health management through site specific nutrient management in rice using nutrient expert in Bihar

2017 ◽  
Vol 16 (2) ◽  
pp. 157
Author(s):  
V.B. Shahi ◽  
Kaushik Majumdar ◽  
S. Dutta ◽  
Anshuman Kohli
2018 ◽  
Vol 13 (1) ◽  
pp. 40-44
Author(s):  
Deo Kumar ◽  
Ashok Kumar ◽  
Sanjeev Kumar Gupta ◽  
Sunil Kumar ◽  
S. K. Choudhary

Author(s):  
Tapan Gorai ◽  
Pankaj Kumar Yadav ◽  
Gopal Lal Choudhary ◽  
Anil Kumar

Present irrational crop and nutrient management practices have raised several concerns of high merit. The concerns include low factor productivity or nutrient use efficiency (NUE), declining crop productivity, farmer’s profitability, impaired soil health and ecological contamination. Site-specific nutrient management (SSNM), after considering indigenous nutrient supplying capacity of soil using plant and soil analysis, can feed the crop in synchrony with its nutrient requirement in different physiological growth stages. Besides, several modern geospatial techniques viz. remote sensing techniques, geographic information system (GIS), global positioning system (GPS), proximal sensing; information and communication technologies (ICTs) including decision support system, smartphone apps and web services can also assist in diagnosis of soil and crop nutrient status, fertilizer recommendation and its dissemination to users. Optical and thermal remote sensing can effectively detect crop stress including nitrogen (N) deficiency through several vegetation indices especially normalized difference vegetation index (NDVI). GIS techniques with spatial data acquired by GPS, can create spatial variability map and management zone (MZ) for precise farm operations including variable rate fertilization. Proximal crop sensors viz. chlorophyll meter and Green Seeker can also recognize crop nitrogen status and promote fertilizer N use efficiency by synchronizing fertilizer N supply with crop requirement. Even proximal soil sensing using electromagnetic radiation and contact electrode can estimate soil properties like soil pH, electrical conductivity, major and micronutrient content. Several decision support systems such as QUEFTS based model, crop manager, nutrient expert® and smartphone apps like ‘crop doctor’ can suggest for precise application of agro-inputs to rural youths and farmers. Yield monitoring and mapping tool can generate historical GIS database for spatial variability of crop yield under farmers’ crop management practices and assessment of nutrient uptake. Variable rate machinery based on variability map and sensor technologies can also be used for fertilization under different management zones. Therefore, SSNM technologies can enhance NUE; improve and sustain crop productivity, profitability; avoid nutrient wastage; maintain good soil health and environmental safety.


2017 ◽  
Vol 4 (1) ◽  
Author(s):  
S. K. YADAV ◽  
A. K. SRIVASTAVA ◽  
T. K. BAG

A field trial was conducted during two consecutive summer seasons of2012 and 2013 at ICAR-Central Potato Research Station, Shillong, Meghalaya to evaluate the integration of nutrient sources on productivity and soil health under rainfed potato cultivation in north eastern hill region of India. There were six treatments of integrated nutrient management viz., 100% Recommended dose of fertilizers,75% RDF through synthetic fertilizers and 25% recommended dose of nitrogen (RDN) through FYM, 50% RDF and 50% RDN through FYM, 25% RDF and 75% RDN through FYM, 100% RDN through FYM and control (no application of any sources of nutrients). The experiment was laid out in randomized block design with four replications. Nutrient management practices showed the significant improvement on growth and yield attributes of potato over control plot. Highest productivity of potato tubers (t/ha) was noticed with application of 75% RDF through synthetic fertilizers along with 25% RDN through FYM. Similarly, the maximum net return was associated with application of 75% RDF and 25% RDN through FYM under investigation. Application of 75% Recommended dose of nutrients through synthetic fertilizers in combination with 25% Recommended dose of nitrogen through FYM was more profitable for sustainable production of potato in the north eastern hill region of India.


Soil Systems ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 32
Author(s):  
Haddish Melakeberhan ◽  
Gregory Bonito ◽  
Alexandra N. Kravchenko

Soil health connotes the balance of biological, physicochemical, nutritional, structural, and water-holding components necessary to sustain plant productivity. Despite a substantial knowledge base, achieving sustainable soil health remains a goal because it is difficult to simultaneously: (i) improve soil structure, physicochemistry, water-holding capacity, and nutrient cycling; (ii) suppress pests and diseases while increasing beneficial organisms; and (iii) improve biological functioning leading to improved biomass/crop yield. The objectives of this review are (a) to identify agricultural practices (APs) driving soil health degradations and barriers to developing sustainable soil health, and (b) to describe how the nematode community analyses-based soil food web (SFW) and fertilizer use efficiency (FUE) data visualization models can be used towards developing sustainable soil health. The SFW model considers changes in beneficial nematode population dynamics relative to food and reproduction (enrichment index, EI; y-axis) and resistance to disturbance (structure index, SI; x-axis) in order to identify best-to-worst case scenarios for nutrient cycling and agroecosystem suitability of AP-driven outcomes. The FUE model visualizes associations between beneficial and plant-parasitic nematodes (x-axis) and ecosystem services (e.g., yield or nutrients, y-axis). The x-y relationship identifies best-to-worst case scenarios of the outcomes for sustainability. Both models can serve as platforms towards developing integrated and sustainable soil health management strategies on a location-specific or a one-size-fits-all basis. Future improvements for increased implementation of these models are discussed.


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