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Rain and potential evapotranspiration are the main drivers of yield for wheat and barley in southern Australia: insights from 12 years of National Variety Trials

Edward Barrett-Lennard, Nicholas George , Mario D'Antuono, Karen Holmes, Phillip Ward

Abstract

Context. Water is widely assumed to be the factor most limiting the growth of annual crops in rainfed environments, but this is rarely tested at sub-continental scale. Aims. Our study aimed to determine the key environmental and management variables influencing the yield of wheat and barley in the grain-production regions of southern Australia using data from National Variety Trials (NVT). Methods. We used Generalized Additive Models (GAMs) to determine the importance of climatic and management variables on wheat and barley grain yield. We determined the effects of the best 1, 2 or 3 variables and their interactions. Key results. The aridity index, defined as the ratio of cumulative rainfall to potential evapotranspiration, was the single strongest determinant of grain yield for both crops. Model performance was further improved by separating the aridity index into pre-seasonal and seasonal components. Interestingly, other variables that might be expected to influence yield, such as nitrogen fertilisation and extreme temperatures, had relatively minor effects. A comparison between data collected over two 6-year periods showed that there had been yield gains and increased water use efficiency with time, especially in wetter environments. Conclusions. Our findings illustrate the importance of water availability for grain production in this region and suggest opportunities for benchmarking and yield prediction using readily available climate data. Implications. Our study reinforces the importance of factors like water use efficiency and drought tolerance as goals for cultivar development and agronomic research in wheat and barley. It also highlights the potential of NVT data as a resource for understanding grain production systems and climate resilience. Further work could explore the value of additional variables and improved weather data.

CP23320  Accepted 19 April 2024

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