Yunru Lai

Yunru Lai
  • PhD Student at The University of Queensland

About

9
Publications
1,425
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183
Citations
Introduction
I am a soil and crop modelling scientist, my research aims to improve the representation of soil constraints in agricultural systems models and the integration of scientific advances in plant-soil-climate-management interaction to enable informed decision-making. I am particularly interested in quantifying the effects of soil constraints on crop production and integrating data at different spatial scales. I specialise in the modelling of the spatial and temporal variation of soil properties.
Current institution
The University of Queensland
Current position
  • PhD Student

Publications

Publications (9)
Article
Phosphorus (P) is an essential plant macro-nutrient, yet it is deficient in 65 % of agricultural soils worldwide. Agricultural systems models enable the integration of plant-soil-climate-management interactions to investigate crop responses to P fertilisation and improve P use efficiency. However, current models cannot align their modellable P pool...
Article
Integrating weather forecasts into decision support systems empowers farmers to optimise irrigation schedules, thereby boosting crop yields and conserving water. However, inaccurate forecasts can jeopardise productivity and irrigation efficiency. This study combines a crop model with a stochastic pseudo-weather forecast algorithm to: (1) determine...
Article
Soil sodicity, generally measured through the exchangeable sodium percentage (ESP), is the most prevalent edaphic stress in Australia, particularly in the northern grains-growing region (NGR) of Australia. Farmers, scientists and policy-makers need accurate maps of sodicity for environmental modelling, and to make rational decisions for management....
Article
Information on long-term yield variability is important for tailoring farming practices to the needs of crops. We present a linear mixed-effects model to predict wheat yield at a within-field scale in the northern grain-growing region of Australia. The model predicts yield as a function of Landsat time-integrated Normalized Difference Vegetation In...
Article
Full-text available
Farmers often resort to an occasional tillage (strategic tillage (ST)) operation to combat constraints of no-tillage (NT) farming systems. There are conflicting reports regarding impacts of ST and a lack of knowledge around when, where and how ST is implemented to maximise its benefits without impacting negatively on soil and environment. We establ...

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