Bangyou Zheng1, Dr Pengcheng Hu2, Dr Di He2, Dr Jeremy Whish1, Dr. Julianne Lilley2
1CSIRO, St Lucia, Australia, 2CSIRO, Canberra, Australia
Biography:
Dr Bangyou Zheng is a data and experimental scientist at CSIRO in Brisbane, Australia. He received his PhD degree in agriculture science at China Agricultural University. His research focuses on crop physiology, crop genotype to phenotype prediction, crop modelling, climate adaptation, high throughput phenotyping, big data management, processing and visualization. He is familiar with R program language to solve questions in multiple disciplines.
Abstract:
Extreme climate can severely reduce crop yield, e.g. frost, heat and drought stresses. Optimum flowering period (OFP) has been achieving to minimise these risks through adjusting cultivars and sowing times in the specific environments (i.e. interactions of genotype, environment and management), and defined in several research for Australia. However, OFP in the research did not consider impacts of climate changes and genotypic variations. In this study, we estimated OFP for 77 sites across Australian grain belt with SILO weather records from 1957 to 2023. A panel of diversity cultivars were selected from Australia and international (152 cultivars) and calibrated with datasets in field experiments with APSIM Next Generation. APSIM simulations were conducted for a broad range of sowing dates from January to August, with/without reset initial soil water at sowing, different amount of nitrogen fertilisation. Then OFPs were estimated for all cultivars and each cultivar at different periods (i.e. 20 years moving windows). The results indicated cultivars with varied phenology types had different OFP with span from 30 to 90 days. However, compared with maximum yield of all cultivars, the maximum yield of each cultivar ranged from 50% to 100%. If we consider cultivars with 95% yield ratio as the adaptative cultivars, the number of cultivars ranged from 28 to 148 among 77 sites. The temporal trends of OFP ranged from -7 to 5 days per decade. OFP is strongly impacted by interactions of genotype, environment and management. This study provides a guideline on how OFP should be estimated with crop growth model.