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

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.

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References

  1. Aggarwal PK (2008) Global climate change and Indian agriculture: impacts, adaptation and mitigation. Indian J Agric Sci 78:911–919

    Google 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 89:47–67

    Article  Google Scholar 

  3. AICRPRM (2010) All India Coordinated Research Project on Rapeseed and Mustard Annual Reports 2000-2010, Directorate of Rapeseed-Mustard Research, Bhartpur, India

  4. Alonso A, Perez P, Morcuende R et al (2008) Future CO2 concentrations though not warmer temperatures enhance wheat photosynthesis temperature response. Physiol Plant 132:102–112

    Google 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 80:693–701

    Article  Google Scholar 

  6. Batjes NH (2008) ISRIC-WISE Harmonized Global Soil Profile Dataset (V. 3.1). Report 2008/2, ISRIC-World Soil Information, Wageningen, The Netherlands

  7. Berry PM, Spink JH (2006) A physiological analysis of oilseed rape yields: past and future. J Agric Sci 144(5):381–392

    Article  Google Scholar 

  8. Boomiraj K, Chakrabarti B, Aggarwal PK et al (2010) Assessing the vulnerability of Indian mustard to climate change. Agric Ecosyst Environ 138:265–273

    Article  Google 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 15:413–431

    Article  Google 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 119:190–204

    Article  Google Scholar 

  11. Das L, Annan JD, Hargreaves JC et al (2012) Improvements over three generations of climate model simulations for eastern India. Clim Res 51:201–216

    Article  Google Scholar 

  12. DES (2014) Department of economics and statistics. Ministry of Agriculture, Government of India, India

  13. DOR (2007) Oilseeds situation, a statistical compendium, 2007. Directorate of oil seeds report p 434

  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 2011

  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 54:349–358

    Article  Google 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 273–313

    Google 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, Austria

  20. Gadgil S, Rao PRS, Sridhar S (1999) Modelling impact of climate variability on rainfed groundnut. Curr Sci 76:557–569

    Google 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 84:697–704

    Article  Google 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 34:1277–1285

    Article  Google Scholar 

  23. Hall AE (1992) Breeding for heat tolerance. Plant Breed Rev 10:129–168

    Google Scholar 

  24. Ingram JSI, Gregory PJ, Izac AM (2008) The role of agronomic research in climate change and food security. Agric Ecosyst Environ 126:4–12

    Article  Google Scholar 

  25. IPCC (2007) Climate change 2007: climate change impacts adaptation and vulnerability summary for policymakers inter-governmental panel on climate change

  26. IPCC (2013) Climate change 2013: the physical science basis. Summary for policymakers inter-governmental panel on climate change

  27. Jacobs CMJ, DeBruin HAR (1992) The sensitivity of regional transpiration to land surface characteristics: significance of feedback. J Climate 5:683–698

    Article  Google Scholar 

  28. Kimball BA (1983) Carbon dioxide and agricultural yield: an assemblage and analysis of 430 prior observations. Agron J 75:779–786

    Article  Google Scholar 

  29. Kimball BA, Kobayashi K, Bindi M (2002) Responses of agricultural crops to free-air CO2 enrichment. Adv Agron 77:293–368

    Article  Google Scholar 

  30. Kjellstrom C (1993) Comparative growth analysis of Brassica napus and Brassica juncea under Swedish conditions. Can J Plant Sci 73:795–801

    Article  Google Scholar 

  31. Kutcher HR, Warland JS, Brandt SA (2010) Temperature and precipitation effects on canola yields in Saskatchewan, Canada. Agric For Meteorol 150:161–165

    Article  Google Scholar 

  32. Lobell DB, Gourdji SM (2012) The influence of climate change on global crop productivity. Plant Physiol 160:1686–1697

    Article  Google Scholar 

  33. Lobell DB, Schlenker WS, Costa-Roberts J (2011) Climate trends and global crop production since 1980. Science 333:616–620

    Article  Google Scholar 

  34. Long SP, Ainsworth EA, Rogers A et al (2004) Rising atmospheric carbon dioxide: plants face the future. Ann Rev Plant Biol 55:591–628

    Article  Google 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 360:2011–2020

    Article  Google 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):223–230

    Article  Google Scholar 

  37. Morison MJ, Stewart DW (2002) Heat stress during flowering in summer Brassica. Crop Sci 42:797–803

    Article  Google Scholar 

  38. Naresh Kumar S (2011) Climate change and Indian agriculture: current understanding on impacts adaptation vulnerability and mitigation. J Plant Biol 37(2):1–16

    Google Scholar 

  39. Naresh Kumar S, Aggarwal PK (2013) Climate change and coconut plantations in India: impacts and potential adaptation gains. Agric Syst 117:45–54

    Article  Google 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):33–42

    Google Scholar 

  41. Naresh Kumar S, Singh AK, Aggarwal PK et al. (2012) Climate change and Indian Agriculture: impact, adaptation and vulnerability. IARI Pub. 32p

  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 118:683–699

    Article  Google 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 84:765–768

    Article  Google 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):115–122

    Article  Google 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 14:53–67

    Article  Google Scholar 

  47. Peltonen-Sainino P, Jauhiainen L, Tranka M et al (2010) Coincidence of variation in yield and climate in Europe. Agric Ecosyst Environ 139:483–489

    Article  Google 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 69:193–198

    Google 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 37:56–65

    Article  Google 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):651–681

    Article  Google 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 90:335–345

    Google 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 9–10

    Google 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 26:215–223

    Article  Google 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 184:271–276

    Article  Google 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 16:363–371

    Article  Google Scholar 

  57. Wallach D, Makowski D, Jones JW (2006) Working with dynamic crop models. Elsevier Pub. Amsterdam, The Netherlands, p 447

    Google 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 105:13–42

    Article  Google Scholar 

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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.

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Correspondence to Soora Naresh Kumar.

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Naresh Kumar, S., Aggarwal, P.K., Uttam, K. et al. Vulnerability of Indian mustard (Brassica juncea (L.) Czernj. Cosson) to climate variability and future adaptation strategies. Mitig Adapt Strateg Glob Change 21, 403–420 (2016). https://doi.org/10.1007/s11027-014-9606-z

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Keywords

  • Climate change
  • Impact
  • Mustard
  • Adaptation
  • Vulnerability
  • Modelling InfoCrop