Image-Based Phenotyping Study of Wheat Growth and Grain Yield Dependence on Environmental Conditions and Nitrogen Usage in a Multi-Year Field Trial

Stanley Miklavcic; Joshua Chopin; Hamid Laga

doi:10.3390/su16093728

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Image-Based Phenotyping Study of Wheat Growth and Grain Yield Dependence on Environmental Conditions and Nitrogen Usage in a Multi-Year Field Trial

Journal article

Open access

Peer reviewed

Image-Based Phenotyping Study of Wheat Growth and Grain Yield Dependence on Environmental Conditions and Nitrogen Usage in a Multi-Year Field Trial

Stanley Miklavcic, Joshua Chopin and Hamid Laga

Sustainability, Vol.16(9), 3728

2024

DOI: https://doi.org/10.3390/su16093728

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Abstract

Agricultural production

Efficiency

Environmental impact

Nitrogen

Split-plot design

Unmanned aerial vehicles

Wheat

As the global population and resource scarcity simultaneously increase, the pressure on plant breeders and growers to maximise the effectiveness of their operations is immense. In this article, we explore the usefulness of image-based data collection and analysis of field experiments consisting of multiple field sites, plant varieties, and treatments. The goal of this approach is to determine whether the noninvasive acquisition and analysis of image data can be used to find relationships between the canopy traits of field experiments and environmental factors. Our results are based on data from three field trials in 2016, 2017, and 2018 in South Australia. Image data were supplemented by environmental data such as rainfall, temperature, and soil composition in order to explain differences in growth and the development of plants across field trials. We have shown that the combination of high-throughput image-based data and independently recorded environmental data can reveal valuable connections between the variables influencing wheat crop growth; meanwhile, further studies involving more field trials under different conditions are required to test hypotheses and draw statistically significant conclusions. This work highlights some of the more responsive traits and their dependencies.

Details

Title: Image-Based Phenotyping Study of Wheat Growth and Grain Yield Dependence on Environmental Conditions and Nitrogen Usage in a Multi-Year Field Trial
Authors/Creators: Stanley Miklavcic - University of South Australia
Joshua Chopin - University of South Australia
Hamid Laga - Murdoch University, Centre for Biosecurity and One Health
Publication Details: Sustainability, Vol.16(9), 3728
Publisher: MDPI AG
Identifiers: 991005664669507891
Murdoch Affiliation: School of Information Technology
Language: English
Resource Type: Journal article

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Collaboration types: Domestic collaboration
Citation topics: 3 Agriculture, Environment & Ecology; 3.4 Crop Science; 3.4.424 Crop Yield Optimization
Web Of Science research areas: Environmental Sciences; Environmental Studies; Green & Sustainable Science & Technology
ESI research areas: Environment/Ecology