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Predictive models incorporating environmental covariates for genotype × environment × management (G×E×M) interactions applied to sorghum agronomy trials

Mumford, M. H., Forknall, C. R., Rodriguez, D., Eyre, J., Serafin, L., Aisthorpe, D., Bell, K. L. and Kelly, A. M. (2022) Predictive models incorporating environmental covariates for genotype × environment × management (G×E×M) interactions applied to sorghum agronomy trials. In: Proceedings of the 20th Agronomy Australia Conference, 2022, 6 - 10 February 2022, Toowoomba Qld.

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Article Link(s): http://agronomyaustraliaproceedings.org/images/sam...

Abstract

Researching the management (M) of genotypes (G) in agronomic experimentation is essential to help farmers maximise grain yield, though the approach is complicated by interactions emerging from changing environmental (E) factors across sites and seasons. Available statistical methods for modelling the G×E interaction are limited as they do not provide a functional understanding of how environmental factors influence the G×E interaction, nor assess how different management practices (M) influence the G×E interaction. A predictive linear mixed model is proposed that incorporates site/season-specific environmental covariates into a standard G×E interaction framework. The model is extended to include continuously varying agronomic management practices whilst allowing for non-linear trait responses and complex variance structures. The methodology was applied to a multi-environment data set associated with GRDC’s optimising sorghum agronomy program. The analysis identified key environmental drivers and management strategies that explained the G×E×M interaction, enhancing the biological understanding of the analysis results and allowing for the development of more robust recommendations for agronomic practices.

Item Type:Conference or Workshop Item (Paper)
Business groups:Crop and Food Science
Additional Information:Open access
Keywords:cross validation, plant population, residual maximum likelihood
Subjects:Science > Botany > Genetics
Agriculture > Agriculture (General) > Agricultural meteorology. Crops and climate
Agriculture > Agriculture (General) > Methods and systems of culture. Cropping systems
Plant culture > Field crops
Plant culture > Field crops > Sorghum
Deposited On:15 Feb 2022 00:27
Last Modified:15 Feb 2022 00:27

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