Impact of climate services on the operational decision and economic outcome of wheat (Triticum aestivum) and rice (Oryza sativa) cultivation in Haryana


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Authors

  • MANJUNATH K V ICAR-National Dairy Research Institute, Karnal, Haryana 132 001, India image/svg+xml
  • SANJIT MAITI ICAR-National Dairy Research Institute, Karnal, Haryana 132 001, India image/svg+xml
  • SANCHITA GARAI ICAR-National Dairy Research Institute, Karnal, Haryana 132 001, India image/svg+xml
  • D ANIL K REDDY ICAR-National Dairy Research Institute, Karnal, Haryana 132 001, India image/svg+xml
  • SHRAVANI SAHANI ICAR-National Dairy Research Institute, Karnal, Haryana 132 001, India image/svg+xml
  • AMITAVA PANJA ICAR-National Dairy Research Institute, Karnal, Haryana 132 001, India image/svg+xml
  • SUJEET KUMAR JHA Indian Council of Agricultural Research, New Delhi image/svg+xml

https://doi.org/10.56093/ijas.v94i3.148633

Keywords:

Adaptation, Climate change, DiD, Impact, Weather based advisory services

Abstract

The management of weather and climate risks in agriculture has become an important issue. Application of weather forecast and related advisories offer a great potential to make better-informed decisions and help farmers in adapting climate change. In the present study, weekly forecast-based crop advisories were prepared and disseminated among the farmers of Jind, Rothak and Hisar districts of Haryana. From each block, three experimental villages i.e., one each village receiving weather based advisory services through either of Whatsapp, Text SMS and Mobile Application and one control village (not receiving weekly advisory services) were chosen and thus resulting in 18 experimental villages and 6 control villages. Difference in Difference (DiD) research design was used to study the impact of advisories on farm operational decision making as well as economic outcome of the wheat (Triticum aestivum L.) and paddy A(Oryza sativa L.) cultivation. Average treatment effect of advisories in both crops was found to be significant in all the farm operational decisions except weed management. Reduced seed rate of 3.47, 3.99 and 3.84 kg/acre, reduction in 14.93, 16.92 and 20.23 kg/acre of fertilizer application and saving 0.25, 0.31, 0.34 number of sprays in wheat crop and similarly reduced seed rate of 1.05, 1.15 and 1.27 kg/acre, reduction in fertilizer usage by 18.52, 20.00 and 20.91 kg/acre, and also saving 0.96, 1.02 and 1.15 number of sprays in paddy crop was observed from Text SMS, WhatsApp and Mobile App treatment groups, respectively. The study has also indicated reduced input cost of ₹943.45, 1026.05 and 1168.33/acre in wheat and similarly ₹1439.98, 1566.86 and 1670.22/acre in paddy from Text SMS, WhatsApp and Mobile App treatment groups, respectively. The provision of seamless weather-based advisories for agriculture need to become a national adaptation priority in adapting to changing climate of today and of the future.

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References

Aggarwal P K and Mall R K. 2002. Climate change and rice yields in diverse agro-environments of India. II. Effect of uncertainties in scenarios and crop models on impact assessment. Climatic Change 52(3): 331–43. https://doi.org/10.1023/A:1013714506779

Altobelli F, Marta A D, Heinen M, Jacobs C, Giampietri E, Mancini M and Giudice T D. 2021. Irrigation advisory services: Farmers preferences and willingness to pay for innovation. Outlook on Agriculture 50(3): 277–85. https://doi.org/10.1177/00307270211002848

Amein T, Omer Z and Welch C. 2008. Application and evaluation of pseudomonas strains for biocontrol of wheat seedling blight. Crop Protection 27(3–5): 532–36. https://doi.org/10.1016/j.cropro.2007.08.007

Bal S K, Prasad J V N S and Singh V K. 2022. Heat wave 2022: Causes, impacts and way forward for Indian agriculture. Technical bulletin no. ICAR/CRIDA/TB/01/2022, ICAR- Central Research Institute for Dryland Agriculture, Hyderabad, Telangana, pp. 50.

Cannon R J. 1998. The implications of predicted climate change for insect pests in the UK, with emphasis on non-indigenous species. Global Change Biology 4(7): 785–96. https://doi.org/10.1046/j.1365-2486.1998.00190.x

Chattopadhyay N and Chandras S. 2018. Agrometeorological advisory services for sustainable development in Indian agriculture. Biodiversity International Journal 2(1): 13–18. http://dx.doi.org/10.15406/bij.2018.02.00036

Chattopadhyay N, Samui R P and Rathore L S. 2011. Strategies for minimizing crop loss due to pest and disease incidences by adoption of weather-based plant protection techniques. Challenges and Opportunities in Agrometeorology 235–43. https://doi.org/10.1007/978-3-642-19360-6_17

Chaubey D, Prakash V, Patel A B and Yadav T C. 2018. Role of agro-meteorological advisory services on risk mitigation in agriculture. International Journal of Pure and Applied Biosciences 6: 27–32.

Chauhan A S, Singh S, Maurya R K S, Kisi O, Rani A and Danodia A. 2022. Spatio-temporal analysis of rainfall dynamics of 120 years (1901–2020) using innovative trend methodology: A case study of Haryana, India. Sustainability 14(9): 4888. https://doi.org/10.3390/su14094888

Dupdal R, Dhakar R, Rao C R, Samuel J, Raju B M K, Kumar P V and Rao V U M. 2020. Farmers’ perception and economic impact assessment of agromet advisory services in rainfed regions of Karnataka and Andhra Pradesh. Journal of Agrometeorology 22(3): 258–65. https://doi.org/10.54386/jam.v22i3.187

FAO. 2019. Handbook on Climate Information for Farming Communities-What Farmers Need and What is Available. pp.

Licence: CC BY-NC-SA 3.0 IGO. http://www.fao.org/3/ca4059en/ca4059en.pdf

Gadgil S. 1989. Monsoon variability and its relationship with agricultural strategies. (In) International Symposium on Climate Variability and Food Security in Developing Countries, New Delhi, Feb 5–7, 1987, pp. 249–67.

Guntukula R. 2019. Assessing the impact of climate change on Indian agriculture: Evidence from major crop yields. Journal of Public Affairs 20(1): e2040. https://doi.org/10.1002/pa.2040

Gupta S, Kumar A, Shahi U and Prasad G A S. 2021. Economic impact assessment of the agrometeorological advisory service of western Uttar-Pradesh. (In) Proceedings of Virtual National Conference on Strategic Reorientation for Climate Smart Agriculture (V-AGMET 2021) 3: 164.

Iizumi T and Ramankutty N. 2015. How do weather and climate influence cropping area and intensity? Global Food Security 4: 46–50. http://dx.doi.org/10.1016/j.gfs.2014.11.003

Indian Network for Climate Change Assessment (INCCA). 2010. India: Greenhouse gas emissions 2007. Ministry of Environment and Forests, India. https://citeseerx. ist.psu.edu/document?repid=rep1&type=pdf& doi=d7d6040de1f57b79ad49af205af5fc39cb0aadae

Javaid M, Haleem A, Khan I H and Suman R. 2023. Understanding the potential applications of artificial intelligence in agriculture sector. Advanced Agrochem 2(1): 15–30. https://doi.org/10.1016/j.aac.2022.10.001

Kumar Y, Kumar A, Chaudhary O P, Saraswat P K, Bhardwajm M and Leharwan M. 2022. Assessment and effectiveness of AAS through economic impact analysis under different microclimatic regions in Karnal. Journal of Community Mobilization and Sustainable Development 17(3): 701–09.

Maini P and Rathore L S. 2011. Economic impact assessment of the agrometeorological advisory service of India. Current Science 101(10): 1296–1310. http://www.jstor.org/stable/24079638

Mehajan R K, Tewary A and Gupta S. 2019. Towards effective climate services. Current Science 117(8): 1274–280. https://www.jstor.org/stable/27138441

Pandey A, Singh A K, Mishra A N and Mishra S R. 2022. Study on crop-weather calendar of wheat for eastern plain zone of Uttar Pradesh. International Journal of Environment and Climate Change 12(11): 224–30. https://doi.org/10.9734/ijecc/2022/v12i1130965

Prescott J M, Burnett P A, Saari E E, Ransom J, Bowman J, Milliano W S R and Bekele G. 1986. Wheat diseases and pests. A Guide to Field Identification, CIMMYT, Mexico, pp. 135.

Rao A C R, Raju B M K, Rao A S, Rao K V, Rao V U M, Ramachandran K and Rao C S. 2016. A district level assessment of vulnerability of Indian agriculture to climate change. Current Science 110(10): 1939–946. doi: 10.18520/cs/v110/i10/1939-1946

Rathore L S and Chattopadhyay N. 2016. Weather and Climate Services for Farmers in India. Bulletin no 65(2), WMO, Geneva, Switzerland.

Rathore L S and Maini P. 2008. Economic impact assessment of agro-meteorological advisory service of NCMRWF, Report no. NMRF/PR/01/2008, pp. 104, NCMRWF, Ministry of Earth Sciences, Government of India.

Ray L K, Goel N K and Arora M. 2019. Trend analysis and change point detection of temperature over parts of India. Theoretical and Applied Climatology 138 (1–2): 153–167. https://doi.org/10.1007/s00704-019-02819-7

Rodríguez-Moreno V M, Jiménez-Lagunes A, Estrada-Avalos J, Mauricio-Ruvalcaba J E P and adilla-Ramírez J S. 2020.

Weather-data-based model: An approach for forecasting leaf and stripe rust on winter wheat. Meteorological Applications 27(2): e1896. https://doi.org/10.1002/met.1896

Rohini P, Rajeevan M and Srivastava A K. 2016. On the variability and increasing trends of heat waves over India. Scientific Reports 6: 26153. https://doi.org/10.1038/srep26153

Scherm H. 2004. Climate change: Can we predict the impacts on plant pathology and pest management? Canadian Journal of Plant Pathology 26(3): 267–73. https://doi.org/10.1080/07060660409507143

Sharma S and Mujumdar P. 2017. Increasing frequency and spatial extent of concurrent meteorological droughts and heatwaves in India. Scientific Report 7(1): 1–9. doi: 10.1038/s41598-017-15896-3

Singh K K. 2011. Weather forecasting and agromet advisory services in India. Indian Meteorological Department, Ministry of Earth Sciences, Mausam Bhavan, New Delhi, 22: 240–243.

Singh M, Ghanghas B S, Sharma V and Sharma B C. 2019. Minimize weather risk in agricultural planning and management through agromet advisory services in rural areas. Transformation of Indian Agriculture Through Innovative Technologies, pp.11–21. Daya Publishing House, Delhi, India.

Stigter C J. 2007. From basic agrometeorological science to agrometeorological services and information for agricultural decision makers: A simple conceptual and diagnostic framework. A Guest Editorial. Agricultural and Forest Meteorology 142: 91‒95. https://doi.org/10.1016/j.agrformet.2006.10.002

Tall A, Hansen J, Jay A, Campbell B, Kinyangi J, Aggarwal P K and Zougmoré R. 2014. Scaling up climate services for farmers: Mission Possible. Learning from good practice in Africa and South Asia. CCAFS Report No. 13. Copenhagen: CGIAR Research Programme on Climate Change, Agriculture and Food Security (CCAFS). www.ccafs.cgiar.org

Van Campenhout B, Spielman D J and Lecoutere E. 2021. Information and communication technologies to provide agricultural advice to smallholder farmers: Experimental evidence from Uganda. American Journal of Agricultural Economics 103(1): 317–37. https://doi.org/10.1002/ajae.12089

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Submitted

2024-02-16

Published

2024-05-08

How to Cite

K V, M. ., MAITI, S. ., GARAI, S. ., REDDY, D. A. K. ., SAHANI, S. ., PANJA, A. ., & JHA, S. K. . (2024). Impact of climate services on the operational decision and economic outcome of wheat (Triticum aestivum) and rice (Oryza sativa) cultivation in Haryana. The Indian Journal of Agricultural Sciences, 94(3-1), 116–123. https://doi.org/10.56093/ijas.v94i3.148633
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