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Research Articles

Vol. 12 No. 2 (2025)

APSIM-based insights for enhancing rice productivity and climate change adaptation in the north-eastern hilly regions of India

DOI
https://doi.org/10.14719/pst.6998
Submitted
1 January 2025
Published
29-05-2025 — Updated on 30-05-2025
Versions

Abstract

Rising temperatures and increasing extreme climate events are expected to significantly affect crop yields, including rice production in India. Understanding the responses of different rice genotypes to these climate changes is critical for climate-resilient agriculture.  This study assessed the performance of two rice varieties, Shahsarang and Mendri, under varying Soil Organic Carbon (SOC) levels, nutrient management practices and projected climate scenarios. The Shahsarang variety, under baseline conditions, achieved a mean grain yield of 4930 kg/ha in high SOC soils when nursery was sown in early May, while medium and low SOC soils produced 4644 kg/ha and 4212 kg/ha, respectively. By the mid-century (2050), intermediate emission scenarios projected yield reductions of 3 %, 9 % and 12 % for low, medium and high SOC soils, respectively, relative to the respective baselines. In contrast, the Mendri variety demonstrated a yield advantage of 417-1318 kg/ha in high SOC soils under mid- and late-century scenarios. Additionally, following Integrated Nutrient Management (INM) using FYM resulted in increased SOC compared to conventional farmers’ practices. In the present study, C1 (low SOC) soil, the impact of 33-year continuous rice monocropping revealed that applying FYM @ 10 t/ha led to SOC accumulation under 75 % RDN in Shahsarang. While in the Mendri variety, three treatments exhibited positive trends ranging from 0.86 to 2.36 %. However, soils with high carbon content showed limited response to additional inputs. Hence, our study suggests the importance of evaluating genotype-specific responses and soil interactions to develop climate-resilient rice production strategies.

References

  1. 1. FAO, Agriculture producer price indices. FAOSTAT Analytical brief series No. 6. Rome. Agriculture Producer Price Indices. 2020.
  2. 2. US Department of Agriculture (USDA), Economic Research Service (ERS), Ag and food statistics: Charting the essentials. Farming and Farm Income. 2022. https://www.ers.usda.gov/data-products/ag-and-food-statistics-charting-the-essentials
  3. 3. Mohapatra S, Tripathy SK, Mohanty AK, Tripathy S. Effect of heat stress on yield and economics of rice (Oryza sativa L.) cultivars under different sowing dates. J Agrometeorol. 2021;23(1):38-45. https://doi.org/10.54386/jam.v23i1.86
  4. 4. McKenzie FC, Williams J. Sustainable food production: constraints, challenges and choices by 2050. Food Sec. 2015;7:221-33. https://doi.org/10.1007/s12571-015-0441-1
  5. 5. Das PJ. Rainfall regime of northeast India: A hydrometeorological study with special emphasis on the Brahmaputra basin. Ph.D. [thesis]. Guwahati: Guwahati University. 2004.
  6. 6. Ashiq W, Nadeem M, Ali W, Zaeem M, Wu J, Galagedara L, et al. Biochar amendment mitigates greenhouse gases emission and global warming potential in dairy manure-based silage corn in boreal climate. Environ Pollut. 2020;265:114869. https://doi.org/10.1016/j.envpol.2020.114869
  7. 7. Ali W, Nadeem M, Ashiq W, Zaeem M, Gilani SSM, et al. The effects of organic and inorganic phosphorus amendments on the biochemical attributes and active microbial population of agricultural podzols following silage corn cultivation in boreal climate. Sci Rep. 2019;9:1-17. https://doi.org/10.1038/s41598-019-53906-8
  8. 8. Kumar M, Das A, Layek J, Buragohain J, Gandhiji Idapuganti R, Babu, S, et al. Impact of varieties and organic nutrient sources on productivity, soil carbon stocks and energetics of rice-ratoon system in Eastern Himalayas of India. Carbon Manag. 2021:12(2);183-99. https://doi.org/10.1080/17583004.2021.1893130
  9. 9. Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ. An overview of APSIM, a model designed for farming systems simulation. Eur J Agron. 2003;18(3-4):267-88. https://doi.org/10.1016/S1161-0301(02)00108-9
  10. 10. Pachauri RK, Meyer LA, editors. Climate Change 2014: Synthesis report. Contribution of working groups I, II and III to the fifth assessment report of the intergovernmental panel on climate change, 2014. Geneva, Switzerland: IPCC. 2020.
  11. 11. RCP database (version 2.0). International Institute for Applied Systems Analysis (IIASA) [Internet]. https://tntcat.iiasa.ac.at/RcpDb/dsd?Action=htmlpage&page=about#citation
  12. 12. Zandalinas SI, Fritschi FB, Mittler R, Signal transduction networks during stress combination. J Exp Bot. 2020;71:1734-41. https://doi.org/10.1093/jxb/erz486
  13. 13. Yang W, Peng S, Dionisio-Sese ML, Laza RC, Visperas RM. Grain filling duration, a crucial determinant of genotypic variation of grain yield in field-grown tropical irrigated rice. Field Crops Res. 2008;105(3):221-27. https://doi.org/10.1016/j.fcr.2007.10.006
  14. 14. Tao F, Zhang Z, Shi W, Liu Y, Xiao D, et al. Single rice growth period was prolonged by cultivar shifts, but yield was damaged by climate change during 1981-2009 in China and late rice was just opposite. Glob Change Biol. 2013;19(10):3200-09. https://doi.org/10.1093/jxb/erz48610.1111/gcb.12250
  15. 15. Zhao J, Yang X, Dai S, Lv S, Wang J. Increased utilization of lengthening growing season and warming temperatures by adjusting sowing dates and cultivar selection for spring maize in Northeast China. Eur J Agron. 2015;67:12-19. https://doi.org/10.1016/j.eja.2015.03.006
  16. 16. Yan X, Zhou H, Zhu QH, Wang XF, Zhang YZ et al. Carbon sequestration efficiency in paddy soil and upland soil under long-term fertilization in southern China. Soil Tillage Res. 2013;130:42-51. https://doi.org/10.1016/j.still.2013.01.013
  17. 17. Yan D, Wang D, Yang L. Long-term effect of chemical fertilizer, straw and manure on labile organic matter fractions in a paddy soil. Biol Fertil Soils. 2007;44:93-101. https://doi.org/10.1007/s00374-007-0183-0
  18. 18. Yang X, Ren W, Sun B, Zhang S. Effects of contrasting soil management regimes on total and labile soil organic carbon fractions in a loess soil in China. Geoderma. 2012;177:49-56. https://doi.org/10.1016/j.geoderma.2012.01.033
  19. 19. Celik I, Gunal H, Budak M, Akpinar C. Effects of long-term organic and mineral fertilizers on bulk density and penetration resistance in semi-arid Mediterranean soil conditions. Geoderma. 2010;160(2):236-43. https://doi.org/10.1016/j.geoderma.2010.09.028
  20. 20. Zhang A, Bian R, Pan G, Cui L, Hussain Q, et al. Effects of biochar amendment on soil quality, crop yield and greenhouse gas emissions in a Chinese rice paddy: A field study of 2 consecutive rice growing cycles. Field Crops Res. 2012;127:153-60. https://doi.org/10.1016/j.fcr.2011.11.020
  21. 21. Gogoi B, Borah N, Baishya A, Dutta S, Nath DJ, et al. Yield trends, soil carbon fractions and sequestration in a rice-rice system of Northeast India: Effect of 32 years of INM practices. Field Crops Res. 2021;272:108289. https://doi.org/10.1016/j.ecolind.2021.108262
  22. 22. Laishram J, Saxena KG, Rao KS. Rice cultivar diversity, associated indigenous knowledge and management practices in a lowland village landscape from northeastern India. Vegetos. 2020;33:172-86. https://doi.org/10.1007/s42535-020-00097-7

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