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DTSTART;TZID=Australia/Melbourne:20240926T100000
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DTSTAMP:20260509T154159
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UID:4488-1727344800-1727348400@www.plantsuccess.org
SUMMARY:Centre for Plant Success Webinar Series: Daniel Otwani and Hanh Vo
DESCRIPTION:Daniel Otwani\nExploring grain filling duration for yield in grain sorghum\nYield increase in sorghum has been achieved by increasing grain number. Scope exists to increase yield by changing grain size\, however this has been limited by the negative association between grain size and grain number. Extending the grain filling duration (GFD) has potential to increase grain size without the trade-off with reduced grain number. This study aimed to: \n\nestablish a replicable method to estimate GFD in sorghum\nestablish the extent of genetic variation for GFD in sorghum\nestablish the association of GFD with other yield determinants in sorghum and\nexamine the putative value of an extended GFD to sorghum yield across environments\n\nA diverse panel of 904 sorghum genotypes were evaluated in three environments across two years. An improved method of estimating GFD in sorghum is proposed\, significant variation in GFD beyond current commercial sorghum hybrids reported\, and a simulation of longer GFD and its impact on sorghum yield across Australian environments presented. \nHanh Vo\nIdentifying genes that are associated with rapid dehydration responses to low humidity\nHumidity can vary significantly throughout the day and low humidity causes increased transpiration rate through stomatal pores. In response to low humidity\, angiosperms can rapidly synthesise the stress hormone abscisic acid (ABA)\, which activates mechanisms preventing excessive water loss. Previous studies have indicated that within the ABA biosynthesis pathway\, only the genes encoding the rate-limiting enzyme nine-cis-epoxycarotenoid dioxygenase (NCED) are significantly induced within the timeframe of stomatal closure. Despite their critical role\, the genetic pathway responsible for the rapid upregulation of NCED genes remains uncharacterised. \nTo characterise the genes involved\, we are using the model plant Arabidopsis thaliana. Plants were exposed to low humidity\, and the physiological and gene expression responses at key time points were identified. This research aims to provide insights into the molecular mechanisms of plant stress responses\, advancing our understanding of how plants survive in challenging and variable arid environments. \nThis event is open to Centre Members only. If you are a Centre Member who would like to attend\, please contact admin@plantsuccess.org for the Zoom invitation.
URL:https://www.plantsuccess.org/event/centre-for-plant-success-webinar-series-daniel-otwani-and-hanh-vo/
LOCATION:Zoom
ORGANIZER;CN="Plant Success":MAILTO:admin@plantsuccess.org
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CREATED:20240827T161645Z
LAST-MODIFIED:20240926T143849Z
UID:4456-1727427600-1727431200@www.plantsuccess.org
SUMMARY:Talking Plant Science: Daniela Bustos-Korts
DESCRIPTION:The ARC Centre of Excellence for Plant Success in Nature and Agriculture is proud to bring you the next seminar in our Talking Plant Science series presented by Associate Professor Daniela Bustos-Korts. \nFrom trait dynamics to GxE for the target trait: Utilizing Stay Green and Multiple Physiological Traits for Enhanced Wheat Adaptation to Contrasting Drought Conditions\nUnderstanding and predicting genotype adaptation to complex stresses such as drought can be significantly enhanced by integrating information from secondary phenotypes. These phenotypes may include various yield components measured at a single time point or encompass trait dynamics over time. The stay green trait\, which reflects a genotype’s ability to maintain greener canopies under drought conditions\, has emerged as a promising candidate for yield prediction; genotypes exhibiting this trait tend to sustain grain filling rates\, resulting in improved yields during drought events. However\, modelling these traits presents challenges due to the hierarchical error structure inherent in high-throughput phenotyping\, which encompasses measurement\, plot\, and genotypic errors\, alongside the complex dynamics of the trait itself. In this study\, we employ one-dimensional and two-dimensional P-splines to disentangle measurement and plot errors from true genotypic signals. This approach enables us to effectively model the dynamics of the stay green trait and its interaction with genotype-by-environment (GxE) effects over time\, as demonstrated with a diverse panel of spring wheat grown in contrasting water regimes in Chile. \n \nAssociate Professor Daniela Bustos-Korts\nDaniela’s main interest is genotype to phenotype modelling to characterize and predict crop adaptation across multiple environments. These modelling approaches integrate physiology\, crop modelling and statistics. She works at Universidad Austral de Chile\, leading projects about wheat adaptation to dry environments. She also teaches bachelor and postgraduate courses focusing on models to support breeding and agronomic management decisions.
URL:https://www.plantsuccess.org/event/talking-plant-science-daniela-bustos-korts/
LOCATION:Zoom
CATEGORIES:Talking Plant Science
ORGANIZER;CN="Plant Success":MAILTO:admin@plantsuccess.org
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