Effect of soil water on flowering and pod-set in chickpea: implications for modelling and managing frost and heat stress

• Published in: Agronomy for sustainable development 2023-08, Vol.43 (4), p.49-49, Article 49
• Main Authors: Chauhan, Yashvir S., Anwar, Muhuddin Rajin, Richards, Mark F., Lake, Lachlan, Sadras, Victor O., Luckett, David J., Raman, Rosy, Krosch, Stephen, Graham, Neroli
• Format: Article
• Language: English
• Subjects: Agricultural production; Agriculture; Agronomy; Algorithms; Biomedical and Life Sciences; Chickpeas; Computation; Cultivars; Flowering; Frost; Heat; Heat stress; Heat tolerance; Hypotheses; Life Sciences; Moisture content; Phenology; Photoperiods; plant development; prediction; Research Article; Soil improvement; Soil Science & Conservation; Soil temperature; Soil water; Sustainable Development; temperature
• ISSN: 1774-0746; 1773-0155
• DOI: 10.1007/s13593-023-00903-x

Phenological development is critical for crop adaptation. Phenology models are typically driven by temperature and photoperiod, but chickpea phenology is also modulated by soil water, which is not captured in these models. This study is aimed at evaluating the hypotheses that accounting for soil water improves (i) the prediction of flowering, pod-set, and flowering-to-pod-set interval in chickpea and (ii) the computation of yield-reducing frost and heat events after flowering. To test these hypotheses, we compared three variants of the Agricultural Production System Simulator (APSIM): (i) APSIMc, which models development with no temperature threshold for pod-set; (ii) APSIMx, which sets a threshold of 15 °C for pod-set; and (iii) APSIMw, derived from APSIMc with an algorithm to moderate the developmental rate as a function of soil water, in addition to temperature and photoperiod common to all three models. Comparison of modelled and actual flowering and pod-set of a common cheque cultivar PBA Boundary A in 54 diverse environments showed that accuracy and precision were superior for APSIMw. Because of improved prediction of flowering and pod-set timing, APSIMw improved the computation of the frequency of post-flowering frosts compared to APSIMc and APSIMx. The number of heat events was similar for all three models. We conclude that accounting for water effects on plant development can allow better matching between phenology and environment.