Vulnerability of Indian mustard (Brassica juncea (L.) Czernj. Cosson) to climate variability and future adaptation strategies

  • Soora Naresh Kumar
  • Pramod Kumar Aggarwal
  • Kumar Uttam
  • Jain Surabhi
  • D. N. Swaroopa Rani
  • Nitin Chauhan
  • Rani Saxena
Original Article

Abstract

A simulation study has been carried out using the InfoCrop mustard model to assess the impact of climate change and adaptation gains and to delineate the vulnerable regions for mustard (Brassica juncea (L.) Czernj. Cosson) production in India. On an all India basis, climate change is projected to reduce mustard grain yield by ∼2 % in 2020 (2010–2039), ∼7.9 % in 2050 (2040–2069) and ∼15 % in 2080 (2070–2099) climate scenarios of MIROC3.2.HI (a global climate model) and Providing Regional Climates for Impact Studies (PRECIS, a regional climate model) models, if no adaptation is followed. However, spatiotemporal variations exist for the magnitude of impacts. Yield is projected to reduce in regions with current mean seasonal temperature regimes above 25/10 °C during crop growth. Adapting to climate change through a combination of improved input efficiency, additional fertilizers and adjusting the sowing time of current varieties can increase yield by ∼17 %. With improved varieties, yield can be enhanced by ∼25 % in 2020 climate scenario. But, projected benefits may reduce thereafter. Development of short-duration varieties and improved crop husbandry becomes essential for sustaining mustard yield in future climates. As climatically suitable period for mustard cultivation may reduce in future, short-duration (<130 days) cultivars with 63 % pod filling period will become more adaptable. There is a need to look beyond the suggested adaptation strategy to minimize the yield reduction in net vulnerable regions.

Keywords

Climate change Impact Mustard Adaptation Vulnerability Modelling InfoCrop 

Notes

Acknowledgment

We are grateful to the Indian Institute of Tropical Meteorology, Pune, for providing the RCM and GCM scenarios and to the Indian Council of Agricultural Research, New Delhi, for funding the Network Project on Climate Change (NPCC) ‘Impact, adaptation and vulnerability of Indian agriculture to climate change’. Part of the work is also carried out under the ‘National Initiative on Climate Resilient Agriculture’ project.

References

  1. Aggarwal PK (2008) Global climate change and Indian agriculture: impacts, adaptation and mitigation. Indian J Agric Sci 78:911–919Google Scholar
  2. Aggarwal PK, Kalra N, Chander S et al (2006) InfoCrop: a dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. I. Performance of the model. Agric Syst 89:47–67CrossRefGoogle Scholar
  3. AICRPRM (2010) All India Coordinated Research Project on Rapeseed and Mustard Annual Reports 2000-2010, Directorate of Rapeseed-Mustard Research, Bhartpur, IndiaGoogle Scholar
  4. Alonso A, Perez P, Morcuende R et al (2008) Future CO2 concentrations though not warmer temperatures enhance wheat photosynthesis temperature response. Physiol Plant 132:102–112Google Scholar
  5. Angadi SV, Cutforth HW, Miller PR et al (2000) Response of three Brassica species to high temperature stress during reproductive growth. Can J Plant Sci 80:693–701CrossRefGoogle Scholar
  6. Batjes NH (2008) ISRIC-WISE Harmonized Global Soil Profile Dataset (V. 3.1). Report 2008/2, ISRIC-World Soil Information, Wageningen, The NetherlandsGoogle Scholar
  7. Berry PM, Spink JH (2006) A physiological analysis of oilseed rape yields: past and future. J Agric Sci 144(5):381–392CrossRefGoogle Scholar
  8. Boomiraj K, Chakrabarti B, Aggarwal PK et al (2010) Assessing the vulnerability of Indian mustard to climate change. Agric Ecosyst Environ 138:265–273CrossRefGoogle Scholar
  9. Byjesh K, Naresh Kumar S, Aggarwal PK (2010) Simulating the impacts, potential adaptation and vulnerability of maize to climate change in India. Mitig Adapt Strateg Glob Chang 15:413–431CrossRefGoogle Scholar
  10. Challinor AJ, Wheeler TR, Craufurd PQ et al (2007) Adaptation of crops to climate change through genotypic responses to mean and extreme temperatures. Agric Ecosyst Environ 119:190–204CrossRefGoogle Scholar
  11. Das L, Annan JD, Hargreaves JC et al (2012) Improvements over three generations of climate model simulations for eastern India. Clim Res 51:201–216CrossRefGoogle Scholar
  12. DES (2014) Department of economics and statistics. Ministry of Agriculture, Government of India, IndiaGoogle Scholar
  13. DOR (2007) Oilseeds situation, a statistical compendium, 2007. Directorate of oil seeds report p 434Google Scholar
  14. DRMR (2011a) Vision-2030, Directorate of rapeseed-mustard research, Bharatpur, Rajesthan, India p 32. http://www.drmr.res.in/publication/DRMR-Vision.pdf
  15. DRMR (2011b) Annual reports, Directorate of Rapeseed and Mustard Research, Bharatpur, Rajasthan, 2000 to 2011Google Scholar
  16. Duivenbooden V, Abdoussallam NS, Mohamed AB (2002) Impact of climate change on agricultural production in the Sahel—part 2. Case study for groundnut and cowpea in Niger. Clim Change 54:349–358CrossRefGoogle Scholar
  17. Easterling WE, Aggarwal PK, Batima P et al (2007) Food, fibre and forest products- climate change 2007: impacts, adaptation and vulnerability. In: Parry ML, Canziani OF, Paultikof J, van der Linden PJ, Hanson CE (eds) Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, pp 273–313Google Scholar
  18. FAOSTAT (2013) Food and Agriculture Organization of the United Nations. http://faostat.fao.org Accessed 16 Mar 2014
  19. Fischer G, Shah M, van Velthuizen H (2002) Climate Change and Agricultural Vulnerability. International Institute for Applied Systems Analysis. Report prepared under UN Institutional Contract Agreement 1113 for World Summit on Sustainable Development. Laxenburg, AustriaGoogle Scholar
  20. Gadgil S, Rao PRS, Sridhar S (1999) Modelling impact of climate variability on rainfed groundnut. Curr Sci 76:557–569Google Scholar
  21. Gan Y, Angad SV, Cutforth H et al (2004) Canola and mustard response to short periods of temperature and water stress at different developmental stages. Can J Plant Sci 84:697–704CrossRefGoogle Scholar
  22. Gomez NV, Miralles DJ (2011) Factors that modify early and late reproductive phases in oilseed rape (Brassica napa L.): its impact on seed yield and oil content. Indian Crop Prod 34:1277–1285CrossRefGoogle Scholar
  23. Hall AE (1992) Breeding for heat tolerance. Plant Breed Rev 10:129–168Google Scholar
  24. Ingram JSI, Gregory PJ, Izac AM (2008) The role of agronomic research in climate change and food security. Agric Ecosyst Environ 126:4–12CrossRefGoogle Scholar
  25. IPCC (2007) Climate change 2007: climate change impacts adaptation and vulnerability summary for policymakers inter-governmental panel on climate changeGoogle Scholar
  26. IPCC (2013) Climate change 2013: the physical science basis. Summary for policymakers inter-governmental panel on climate changeGoogle Scholar
  27. Jacobs CMJ, DeBruin HAR (1992) The sensitivity of regional transpiration to land surface characteristics: significance of feedback. J Climate 5:683–698CrossRefGoogle Scholar
  28. Kimball BA (1983) Carbon dioxide and agricultural yield: an assemblage and analysis of 430 prior observations. Agron J 75:779–786CrossRefGoogle Scholar
  29. Kimball BA, Kobayashi K, Bindi M (2002) Responses of agricultural crops to free-air CO2 enrichment. Adv Agron 77:293–368CrossRefGoogle Scholar
  30. Kjellstrom C (1993) Comparative growth analysis of Brassica napus and Brassica juncea under Swedish conditions. Can J Plant Sci 73:795–801CrossRefGoogle Scholar
  31. Kutcher HR, Warland JS, Brandt SA (2010) Temperature and precipitation effects on canola yields in Saskatchewan, Canada. Agric For Meteorol 150:161–165CrossRefGoogle Scholar
  32. Lobell DB, Gourdji SM (2012) The influence of climate change on global crop productivity. Plant Physiol 160:1686–1697CrossRefGoogle Scholar
  33. Lobell DB, Schlenker WS, Costa-Roberts J (2011) Climate trends and global crop production since 1980. Science 333:616–620CrossRefGoogle Scholar
  34. Long SP, Ainsworth EA, Rogers A et al (2004) Rising atmospheric carbon dioxide: plants face the future. Ann Rev Plant Biol 55:591–628CrossRefGoogle Scholar
  35. Long SP, Ainsworth EA, Leakey ADB et al (2005) Global food insecurity. Treatment of major food crops with elevated CO2 or ozone under large scale fully open air conditions suggests recent models may have overestimated future yields. Phil Trans R Soc B 360:2011–2020CrossRefGoogle Scholar
  36. Mishra RS, Abdin MZ, Uprety DC (1999) Interactive effects of elevated CO2 and moisture stress on the photosynthesis, water relation and growth of Brassica species. J Agron Crop Sci 182(4):223–230CrossRefGoogle Scholar
  37. Morison MJ, Stewart DW (2002) Heat stress during flowering in summer Brassica. Crop Sci 42:797–803CrossRefGoogle Scholar
  38. Naresh Kumar S (2011) Climate change and Indian agriculture: current understanding on impacts adaptation vulnerability and mitigation. J Plant Biol 37(2):1–16Google Scholar
  39. Naresh Kumar S, Aggarwal PK (2013) Climate change and coconut plantations in India: impacts and potential adaptation gains. Agric Syst 117:45–54CrossRefGoogle Scholar
  40. Naresh Kumar S, Aggarwal PK, Swaroopa Rani DN et al (2011) Impact of climate change on crop productivity in Western Ghats coastal and northeastern regions of India. Curr Sci 101(3):33–42Google Scholar
  41. Naresh Kumar S, Singh AK, Aggarwal PK et al. (2012) Climate change and Indian Agriculture: impact, adaptation and vulnerability. IARI Pub. 32pGoogle Scholar
  42. Naresh Kumar S, Aggarwal PK, Saxena R et al (2013) An assessment of regional vulnerability of rice to climate change in India. Clim Change 118:683–699CrossRefGoogle Scholar
  43. Naresh Kumar S, Aggarwal PK, Swarooparani DN et al (2014) An assessment of regional vulnerability of wheat to climate change in India. Clim Res. doi:10.3354/cr01212 Google Scholar
  44. Nuttall WF, Moulin AP, Townley-Smith LJ (1992) Yield response of canola to nitrogen, phosphorus, precipitation and temperature. Agron J 84:765–768CrossRefGoogle Scholar
  45. Papantoniou AN, Tsialtas JT, Papakosta DK (2013) Drymatter and nitrogen partitioning and translocation in winter oilseed rape (Brassica napus L.) grown under rainfed Mediterranean conditions. Crop Past Sci 64(2):115–122CrossRefGoogle Scholar
  46. Parry ML, Rosenzweig C, Iglesias et al (2004) Effects of climate change on global food production under SRES emissions and socio-economic scenarios. Glob Environ Change 14:53–67CrossRefGoogle Scholar
  47. Peltonen-Sainino P, Jauhiainen L, Tranka M et al (2010) Coincidence of variation in yield and climate in Europe. Agric Ecosyst Environ 139:483–489CrossRefGoogle Scholar
  48. Rao GU, Jain A, Shivanna KT (1992) Effect of high temperature stress on Bassica pollen: viability, germination and ability to set fruits and seeds. Ann Bot 69:193–198Google Scholar
  49. Rondanini DP, Gomez NV, Agosti MB et al (2012) Global trends of rapeseed grain yield stability and rapeseed-to-wheat yield ration in the last four decades. Eur J Agron 37:56–65CrossRefGoogle Scholar
  50. Rosenzweig C, Elliott J, Deryng D et al (2014) Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison. PNAS www.pnas.org/cgi/doi/10.1073/pnas.1222463110 Accessed 20 June 2014
  51. Rotter R, Van de Geijn SC (1999) Climate change effects on plant growth, crop yield and livestock. Clim Change 43(4):651–681CrossRefGoogle Scholar
  52. Rupa Kumar K, Sahai AK, Krishna Kumar K et al (2006) High-resolution climate change scenarios for India for the 21st century. Curr Sci 90:335–345Google Scholar
  53. Salisbury P, Gurung A (2011) Final report oil see Brassica improvement in China, India and Australia. Australian Centre for International Agricultural Research, Canberra, pp 9–10Google Scholar
  54. Tubiello FN, Amthorb JS, Boote KJ et al (2006) Crop response to elevated CO2 and world food supply—a comment on “Food for Thought” by Long et al. Science 312:1918–1921, 2006. Eur J Agron 26:215–223CrossRefGoogle Scholar
  55. Uprety DC, Mahalaxmi V (2000) Effect of elevated CO2 and nitrogen nutrition on photosynthesis, growth and carbon nitrogen balance in Brassica juncea. J Agron Crop Sci 184:271–276CrossRefGoogle Scholar
  56. Varsheny RK, Bansal KC, Aggarwal PK et al (2011) Agricultural biotechnology for crop improvement in a variable climate: hope or hype? Trends Plant Sci 16:363–371CrossRefGoogle Scholar
  57. Wallach D, Makowski D, Jones JW (2006) Working with dynamic crop models. Elsevier Pub. Amsterdam, The Netherlands, p 447Google Scholar
  58. Ware A (2014) Canola variety sowing guide 2014. http://www.sardi.sa.gov.au/__data/assets/pdf_file/0011/45965/Canola_variety_sowing_guide_2014.pdf Accessed 20 June 2014
  59. Ziska LH, Blumenthal DM, Runion GB et al (2011) Invasive species and climate change: an agronomic perspective. Clim Change 105:13–42CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Soora Naresh Kumar
    • 1
  • Pramod Kumar Aggarwal
    • 1
    • 2
  • Kumar Uttam
    • 1
  • Jain Surabhi
    • 1
  • D. N. Swaroopa Rani
    • 1
  • Nitin Chauhan
    • 1
    • 3
  • Rani Saxena
    • 1
  1. 1.Centre for Environmental Sciences and Climate Resilient AgricultureIndian Agricultural Research InstituteNew DelhiIndia
  2. 2.CGIAR Programme on Climate Change and Food Security, South-Asia Programme, IWMINew DelhiIndia
  3. 3.Department of Remote SensingBanasthali UniversityRajasthanIndia

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