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Modelling and Field-Based Evaluation of Vernalisation Requirement of Canola for Higher Yield Potential

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Global Agricultural Production: Resilience to Climate Change

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Abstract

The climate is getting changed around the world, and it is influencing the agricultural production and agronomic practices. The agriculture sector is highly vulnerable to the phenomena of climate change. In Pakistan, the phenomena of climate change have been witnessed from decades and affecting the agriculture production and management practices, but no serious steps have been taken to minimise the problems of climate change and to reduce the effects of climate change on agriculture production and agronomic practices. Hence, the current study was carried out during canola growing seasons of 2019–2020 and 2020–2021 at both sites under rainfed conditions of Pothwar by keeping in view the circumstances of climate change aided with simulation modelling. The experiment was conducted with eight cultivars of canola arranging with the randomised complete block design with three replications at both sites with different sowing dates to form variable conditions of climate change during different phenological stages of crop specifically at flowering stage and grain filling stage. The Decision Support System for Agrotechnology Transfer (DSSAT) was used to simulate crop phenology, leaf area index (LAI), biomass, and yield. Days to the end of flowering was predicted by DSSAT with close association with observed days. The model predicted the days to maturity with close association with our observed days to maturity with R2, RMSE and d-index of 0.99, 0.55 and 0.99, respectively. The model simulated LAI with good accuracy with R2, RMSE and d-index value of 1, 0 and 1, respectively. The simulation outcomes for the biological yield depicted good performance of model with R2, RMSE and d-index values of 0.99, 67.46 kg ha−1 and 0.99, respectively. Furthermore, grain yield simulation was close to observed data with R2, RMSE and d-index of 0.98, 29.39 kg ha−1 and 0.99, respectively. The findings of our studies confirm that DSSAT is a good research tool that can be used to evaluate different managements and cultivars under multiple environments and furthermore can be used to design crop ideotypes as per changing requirements of the climate.

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Authors and Affiliations

  1. Department of Agronomy, PMAS Arid Agriculture University, Rawalpindi, Pakistan

    Emaan Yaqub, Mukhtar Ahmed, Ameer Hamza &  Fayyaz-ul-Hassan

  2. Department of Plant Breeding and Genetics, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan

    Ghulam Shabbir

  3. Department of Plant Biology and Soil Science, Universidade de Vigo, Vigo, Pontevedra, Spain

    Muhammad Iftikhar Hussain

  4. CITACA, Agri-Food Research and Transfer Cluster, Campus da Auga, Universidade de Vigo, Ourense, Spain

    Muhammad Iftikhar Hussain

  5. Research Institute of Science & Engineering (RISE), University of Sharjah, Sharjah, UAE

    Muhammad Iftikhar Hussain

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  1. Emaan Yaqub
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  2. Mukhtar Ahmed
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  3. Ameer Hamza
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  4. Ghulam Shabbir
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  5. Muhammad Iftikhar Hussain
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  6. Fayyaz-ul-Hassan
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Correspondence to Mukhtar Ahmed .

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  1. Department of Agronomy, PMAS Arid Agriculture University, Rawalpindi, Pakistan

    Mukhtar Ahmed

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Yaqub, E., Ahmed, M., Hamza, A., Shabbir, G., Hussain, M.I., Fayyaz-ul-Hassan (2022). Modelling and Field-Based Evaluation of Vernalisation Requirement of Canola for Higher Yield Potential. In: Ahmed, M. (eds) Global Agricultural Production: Resilience to Climate Change . Springer, Cham. https://doi.org/10.1007/978-3-031-14973-3_19

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