Simulation of bio-physical parameters and yield of wheat under projected climate during mid-century

Authors

  • SONY BORA Department of Climate Change and Agricultural Meteorology, Punjab Agricultural Meteorology, Ludhiana
  • P. K. KINGRA Department of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana, 141004, Punjab
  • RAJ KUMAR PAL Department of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana, 141004, Punjab
  • ANNIE MANGSHATABAM Department of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana, 141004, Punjab

DOI:

https://doi.org/10.54386/jam.v27i1.2850

Keywords:

Weather factors, Wheat yields, Sensitivity analysis, Bio-physical parameters, CERES-wheat model

Abstract

The experiment was conducted at the research farm of Punjab Agricultural University, Ludhiana, during the rabi seasons of 2021-22 and 2022-23 to simulate biophysical parameters viz leaf area index (LAI), biomass, and yield for the mid-century (2040–2069) under SSP2-4.5 and SSP5-8.5 climate scenarios using validated CERES-wheat model. The duration of wheat was projected to be shortened while biomass accumulation was projected to increase. The LAI showed a noticeable decrement during the grain-filling stage. Furthermore, the model simulated decrease in yield by -5.78% and -3.32% for SSP2-4.5 and SSP5-8.5 scenarios, respectively. Among the phenology as simulated using CERES wheat model, the grain-filling stage was identified as the most sensitive period for biophysical parameters under both the projected climate scenarios.

References

Alsafadi, K., Bi, S., Abdo, H. G., Almohamad, H., Alatrach, B., Srivastava, A. K., Al-Mutiry, M., Bal, S. K., Chandran, M.A., and Mohammed, S. (2023). Modeling the impacts of projected climate change on wheat crop suitability in semi-arid regions using the AHP-based weighted climatic suitability index and CMIP6. Geosci. Lett., 10(1): 1-21.

Daloz, A. S., Rydsaa, J. H., Hodnebrog, Ø., Sillmann, J., van Oort, B., Mohr, C. W., Agarwal, M., Emberson, L., Stordal, F. and Zhang, T. (2021). Direct and indirect impacts of climate change on wheat yield in the Indo-Gangetic plain in India. J. Agr. Food Res., 4:100132.

IPCC (2023). Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)].

Krishnan, R., Gnanaseelan, C., Sanjay, J., Swapna, P., Dhara, C., Sabin, T. P., and Niyogi, D. (2020). Introduction to climate change over the Indian region. Assessment of climate change over the indian region: a report of the ministry of earth sciences (MoES), Government of India, 1-20. https://doi.org/10.1007/978-981-15-4327-2_1.

Kumar, S. N., Aggarwal, P. K., Rani, D. S., Saxena, R., Chauhan, N. and Jain, S. (2014). Vulnerability of wheat production to climate change in India. Clim. Res. 59(3): 173-187.

Mukherjee, A., Banerjee, S., Saha, S., Nath, R., Naskar, M. K. and Mukherjee, A. (2024). Developing weather-based biomass prediction equation to assess the field pea yield under future climatic scenario. J. Agrometeorol., 26(1): 45-50. https://doi.org/10.54386/jam.v26i1.2461

Pal, R. K., Yadav, S. B., Roy, S. and Murty, N. S. (2014). Effect of temperature and CO2 concentration on production of wheat using CERES wheat model. J. Agrometeorol., 16(2): 210-213. https://doi.org/10.54386/jam.v16i2.1524

Psibisauskiene, G., Auskalniene, O., Raudonius, S. and Duchovskis, P. (2012). Winter wheat leaf area index under low and moderate input management and climate change. J. Food Agric. Environ., 10(1): 588-593.

Ramezani, M. R., Massah Bavani, A. R., Jafari, M., Binesh, A. and Peters, S. (2020). Investigating the leaf area index changes in response to climate change (case study: Kasilian catchment, Iran). SN Appl. Sci., 2: 1-11.

Reisi Gahrouei, O., McNairn, H., Hosseini, M. and Homayouni, S. (2020). Estimation of crop biomass and leaf area index from multitemporal and multispectral imagery using machine learning approaches. Can. J. Remote Sens., 46(1): 84-99.

Zheng, C. Y., Deng, A. X., Latifmanesh, H., Song, Z. W., Zhang, J., Wang, L. and Zhang, W. J. (2017). Warming impacts on the dry matter accumulation, and translocation and nitrogen uptake and utilization of winter wheat on the Qinghai-Xizang Plateau. Chin. J. Plant Ecol., 41(10): 1060-1068.

Downloads

Published

01-03-2025

How to Cite

BORA, S., P. K. KINGRA, RAJ KUMAR PAL, & ANNIE MANGSHATABAM. (2025). Simulation of bio-physical parameters and yield of wheat under projected climate during mid-century. Journal of Agrometeorology, 27(1), 96–99. https://doi.org/10.54386/jam.v27i1.2850

Issue

Section

Research Paper

Categories

Most read articles by the same author(s)

1 2 > >>