Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity
Article
Collins, Brian, Chapman, Scott, Hammer, Graeme and Chenu, Karine. 2021. "Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity." In Silico Plants. 3 (1). https://doi.org/10.1093/insilicoplants/diab006
| Article Title | Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity |
|---|---|
| ERA Journal ID | 212789 |
| Article Category | Article |
| Authors | Collins, Brian, Chapman, Scott, Hammer, Graeme and Chenu, Karine |
| Journal Title | In Silico Plants |
| Journal Citation | 3 (1) |
| Article Number | diab006 |
| Number of Pages | 16 |
| Year | 2021 |
| Publisher | Oxford University Press |
| Place of Publication | United Kingdom |
| ISSN | 2517-5025 |
| Digital Object Identifier (DOI) | https://doi.org/10.1093/insilicoplants/diab006 |
| Web Address (URL) | https://academic.oup.com/insilicoplants/article/3/1/diab006/6122723 |
| Abstract | Limited-transpiration rate at high evaporative demand (‘LTR’ trait) has potential to improve drought adaptation, crop water productivity and food security. The quantification of the implications of LTR for water consumption, biomass accumulation and yield formation requires the use of dynamic crop modelling to simulate physiological and environmental processes and interactions in target environments. Here, a new transpiration module was developed for the Agricultural Production Systems sIMulator (APSIM NextGen) and used to simulate atmospheric and edaphic water stress on wheat crops. This module was parameterized with (i) data from a lysimeter experiment assessing genotypic variability in the LTR trait for four genotypes contrasting in transpiration efficiency, and with (ii) a more pronounced response to high evaporative demand. The potential of the LTR trait for improving crop productivity was investigated across the Australian wheatbelt over 1989–2018. The LTR trait was simulated to allow an increase in national yield by up to 2.6 %, mostly due to shift in water use pattern, alleviation of water deficit during grain filling period and a higher harvest index. Greatest productivity gains were found in the north-east (4.9 %, on average) where heavy soils allow the conserved water with the LTR trait to be available later at more critical stages. The effect of the LTR trait on yield was enhanced under the future climate scenario, particularly in the north-east. Limiting transpiration at high evaporative demands appears to be a promising trait for selection by breeders, especially in drought-prone environments where crops heavily rely on stored soil moisture. |
| Keywords | APSIM NextGen; breeding; climate change; crop adaptation; drought resilience; water conservation |
| Article Publishing Charge (APC) Funding | Other |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 300499. Crop and pasture production not elsewhere classified |
| 410199. Climate change impacts and adaptation not elsewhere classified | |
| Byline Affiliations | University of Queensland |
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