Abstract

The conventional tillage based rice-wheat system (RWS) in Indo-genetic plains (IGP) of South Asia is facing diverse challenges like increase in production cost and erratic climatic events. This results in stagnated crop productivity and declined farm profitability with increased emission of greenhouse gases. Therefore, 3-year multi-location farmer’s participatory research trial was conducted to assess the impact of crop establishment and residue management techniques on crop productivity, economic profitability and environmental footprints in RWS. The aim of this study was to analyze the effect of combinations of improved agronomic technologies compared to farmer’s practices (FP) on crop productivity, profitability, resource use efficiency and environmental footprints. The experiment had six scenarios that is, S1-Farmer’s practice; Conventional tillage (CT) without residue; S2-CT with residue, S3- Reduced tillage (RT) with residue + Recommended dose of fertilizer (RDF); S4-RT/zero tillage (ZT) with residue + RDF, S5-ZT with residue + RDF + green seeker + tensiometer + information & communication technology + crop insurance and S6- S5 + site specific nutrient management. Climate smart agriculture practices (CSAPs; mean of S4, S5 and S6) increase system productivity and farm profitability by 10.5% and 29.4% (on 3 yrs’ mean basis), whereas, improved farmers practices (mean of S2 and S3) resulted in only 3.2% and 5.3% increments compared to farmer’s practice (S1), respectively. On an average, CSAPs saved 39.3% of irrigation water and enhanced the irrigation and total water productivity by 53.9% and 18.4% than FP, respectively. In all the 3-years, CSAPs with high adaptive measures enhanced the energy-use-efficiency (EUE) and energy productivity (EP) by 43%–54% and 44%–61%, respectively than FP. In our study, global warming potential (GWP), GHG emission due to consumption energy and greenhouse gas intensity were recorded lower by 43%, 56% and 59% in Climate Smart Agriculture (CSA) with high adaptive measures than farmers practices (3652.7 kg CO2 eq. ha−1 yr−1, 722.2 kg CO2 eq. ha−1 yr−1 and 718.7 Mg kg−1 CO2 eq. ha−1 yr−1). The findings of the present study revealed that CSA with adaption of innovative measures (S6) improved 3-year mean system productivity by 10.5%, profitability by 29.4%, water productivity and energy productivity by 18.3% and 48.9%, respectively than FP. Thus, the results of our 3-year farmer’s participatory study suggest that in a RW system, climate smart agriculture practices have better adaptive capacity and could be a feasible option for attaining higher yields, farm profitability, energy-use efficiency and water productivity with sustained/improved environmental quality in smallholder production systems of Eastern IGP of India and other similar agro-ecologies of South Asia. Finally, the adoption of these CSAPs should be promoted in the RW rotation of IGP to ensure food security, restoration of soil health and to mitigate climate change, the key sustainable development goals (SDGs).

Highlights

  • Agriculture is a significant contributor to the economy of developing nations like India, Bangladesh, Nepal and Pakistan

  • In Climate smart agriculture practices (CSAPs), the net return in rice, wheat and RW system increased by 33%, 20% and 25% (3-yrs’ mean basis) compared to farmer’s practice, respectively

  • This reflects weather uncertainty in the Eastern Indo-genetic plains (IGP) and climate-resilient management practices are crucial for sustained crop production with food and environmental security

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Summary

Introduction

Agriculture is a significant contributor to the economy of developing nations like India, Bangladesh, Nepal and Pakistan. This region of Indo-genetic plains (IGP) covers about 44 million hectares’(Mha) land area, out of which, Rice wheat cropping system (RWCS) alone occupies about 13.5 Mha area [1]. The use of traditional crop management practices like conventional wet tillage in rice in cereal-based cropping systems entail higher production costs and leads to depletion and/or degradation of natural resources (water, soil, biodiversity), less input-use efficiency and higher environmental footprints [4,5]

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