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Performance of portfolios of climate smart agriculture practices in a rice-wheat system of western Indo-Gangetic plains

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  • Kakraliya, S.K.
  • Jat, H.S.
  • Singh, Ishwar
  • Sapkota, Tek B.
  • Singh, Love K.
  • Sutaliya, Jhabar M.
  • Sharma, Parbodh C.
  • Jat, R.D.
  • Choudhary, Meena
  • Lopez-Ridaura, Santiago
  • Jat, M.L.

Abstract

Several resource use efficient technologies and practices have been developed and deployed to address the challenges related to natural resource degradation and climatic risks management in rice-wheat (RW) rotation of Indo-Gangetic Plains (IGP). However, the practices applied in isolation may not be effective as much as in combination due to changing input responses under varied weather abnormalities. Therefore, a multi-location farmer’s participatory strategic research was conducted to evaluate the effects of layering key technologies, practices and services in varied combinations and compared with business as usual (farmer’s practice) for productivity (crop, water and energy), profitability and global warming potential (GWP) in a RW system. Altogether, six scenarios were compared that includes; Farmer’s practice (FP); Improved FP (IFP) with low intensity of adaptive measures; IFP with high intensity of adaptive measures (IFP-AM); Climate smart agriculture (CSA) with low intensity of adaptive measures (CSA-L); CSA with medium intensity of adaptive measures (CSA-M); CSA with high intensity of adaptive measures (CSA-H). Results revealed that climate smart agricultural practice with high intensity of adaptive measures (CSA-H) recorded 7–9 and 19–26% higher system productivity and profitability, respectively compared to farmers’ practice in all the three years. CSAPs (mean of CSA-L, CSA-M and CSA-H) improved the system productivity and profitability by 6 and 19% (3 yrs’ mean) whereas, IFPs (mean of IFP and IFP-AM) by 2 and 5%, respectively compared to farmer’s practice (11.79 t ha−1 and USD 1833 ha−1). CSA with high (CSA-H) and medium (CSA-M) intensity of adaptive measures saved 17–30% of irrigation water and improved irrigation and total water productivity (WPI and WPI+R) by 29–54 and 21–38%, respectively compared to FP in the study years. Across the years, CSA-H improved the energy-use-efficiency (EUE) and energy productivity (EP) by 43–61 and 44–56% respectively, compared to farmers’ practice. On 3 years mean basis, CSA-H lowered global warming potential (GWP) and greenhouse gas intensity by 40 and 44% respectively, compared to FP (7653 kg CO2 eq ha−1 yr−1 and 0.64 kg kg−1 CO2 eq ha−1 yr−1). On 3 years mean basis, our study revealed that CSA with high intensity of adaptive measures (CSA-H) increased 8% in system productivity, 23% in profitability, 31% in total water productivity and 53% in energy productivity with 24% less water while reducing the GWP by 40%. The improvement in yield, income as well as use efficiency of water and energy and reduction in GHGs was increasing with layering of portfolio of practices on farmers’ practice. This study helps in prioritizing the technological practices from the portfolio of CSAPs for maximizing crop productivity, profitability and input use efficiency while improving the adaptive capacity and reducing the environmental footprints.

Suggested Citation

  • Kakraliya, S.K. & Jat, H.S. & Singh, Ishwar & Sapkota, Tek B. & Singh, Love K. & Sutaliya, Jhabar M. & Sharma, Parbodh C. & Jat, R.D. & Choudhary, Meena & Lopez-Ridaura, Santiago & Jat, M.L., 2018. "Performance of portfolios of climate smart agriculture practices in a rice-wheat system of western Indo-Gangetic plains," Agricultural Water Management, Elsevier, vol. 202(C), pages 122-133.
    • Handle: RePEc:eee:agiwat:v:202:y:2018:i:c:p:122-133
    DOI: 10.1016/j.agwat.2018.02.020
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    5. Lohan, Shiv Kumar & Jat, H.S. & Yadav, Arvind Kumar & Sidhu, H.S. & Jat, M.L. & Choudhary, Madhu & Peter, Jyotsna Kiran & Sharma, P.C., 2018. "Burning issues of paddy residue management in north-west states of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 693-706.
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    1. Satish Kumar Singh & Abhik Patra & Ramesh Chand & Hanuman Singh Jatav & Yang Luo & Vishnu D. Rajput & Shafaque Sehar & Sanjay Kumar Attar & Mudasser Ahmed Khan & Surendra Singh Jatav & Tatiana Minkina, 2022. "Surface Seeding of Wheat: A Sustainable Way towards Climate Resilience Agriculture," Sustainability, MDPI, vol. 14(12), pages 1-23, June.
    2. Singh, Ranbir & Singh, Ajay & Sheoran, Parvender & Fagodiya, R.K. & Rai, Arvind Kumar & Chandra, Priyanka & Rani, Sonia & Yadav, Rajender Kumar & Sharma, P.C., 2022. "Energy efficiency and carbon footprints of rice-wheat system under long-term tillage and residue management practices in western Indo-Gangetic Plains in India," Energy, Elsevier, vol. 244(PA).
    3. Mohapatra, Souryabrata & Sahoo, Dukhabandhu & Sahoo, Auro Kumar & Sharp, Basil & Wen, Le, 2023. "Heterogeneous climate effect on crop yield and associated risks to water security in India," MPRA Paper 123349, University Library of Munich, Germany.
    4. Suresh K. Kakraliya & Hanuman S. Jat & Tek B. Sapkota & Ishwar Singh & Manish Kakraliya & Manoj K. Gora & Parbodh C. Sharma & Mangi L. Jat, 2021. "Effect of Climate-Smart Agriculture Practices on Climate Change Adaptation, Greenhouse Gas Mitigation and Economic Efficiency of Rice-Wheat System in India," Agriculture, MDPI, vol. 11(12), pages 1-20, December.
    5. Pratap S. Birthal & Jaweriah Hazrana & Digvijay S. Negi, 2021. "Effectiveness of Farmers’ Risk Management Strategies in Smallholder Agriculture: Evidence from India," Climatic Change, Springer, vol. 169(3), pages 1-35, December.
    6. Kumar, Satyendra & Narjary, Bhaskar & Kumar, Kapil & Jat, H.S. & Kamra, S.K. & Yadav, R.K., 2019. "Developing soil matric potential based irrigation strategies of direct seeded rice for improving yield and water productivity," Agricultural Water Management, Elsevier, vol. 215(C), pages 8-15.
    7. Walsh, Conor & Renn, Mara & Klauser, Dominik & de Pinto, Alessandro & Haggar, Jeremy & Abdur, Rouf & Hopkins, Richard J. & Zamil, Farhad, 2024. "Translating theory into practice: A flexible decision-making tool to support the design and implementation of climate-smart agriculture projects," Agricultural Systems, Elsevier, vol. 219(C).

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