Browsing by Subject "plant height"

Now showing 1 - 3 of 3
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    Hirsch Lab UAV Commercial Maize Phenotyping Project at UMN SROC Waseca: 2020, 2021, and 2022
    (2024-04-22) Sweet, Dorothy D; Hirsch, Candice N; Hirsch, Cory D; cnhirsch@umn.edu; Hirsch, Candice N; Candice Hirsch Lab; Cory Hirsch Lab
    This dataset provides a valuable resource for evaluating the ability of unoccupied aerial vehicles to collect plant height information from commercial agricultural fields and predict within field variation in yield using temporal traits including plant height, growth rate, and vegetative indices. Many flights were conducted over commercial maize fields using an UAV equipped with an RGB camera and this dataset includes orthomosaics and digital elevation models generated from those flights as well as plot boundary shape files used for extraction of data from those flights. Data in this repository includes extracted plant height, extracted RGB vegetative indices, manual height measurements, weather data, soil data, and grain yield. This experiment consisted of three commercial fields containing single maize hybrids and is therefore useful in assessing the ability of UAV extracted values in identifying within field variation for prediction of yield. It can also be used to test different methods of extracting plant height values from commercial fields as it includes manual measurements of height to be used in evaluation.
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    Springer Lab UAV Maize Phenotyping Project at UMN StPaul: 2018 and 2019
    (2020-05-05) Tirado, Sara B; Hirsch, Candice N; Springer, Nathan M; springer@umn.edu; Springer, Nathan M; Springer Lab
    This dataset provides a valuable resource for evaluating the utility of unmanned aerial vehicles to collect phenotypic data in agricultural fields. Many flights throughout the growing season of a maize experiment were conducted and this dataset includes digital elevation models generated from images within these flights, the plot boundary shapefiles for plot identification, plant height values extracted following Tirado et al., 2019 procedure, hand measurement height values conducted following flights, and yield data for each plot. This maize experiment consisted of twelve hybrids planted at three different planting densities (low, medium and high) and two planting dates (early and late) across two years and therefore provides a valuable resource for evaluating how temporal data collected from UAVs can aid in assessing plant productivity. It can also be utilized to develop and test different protocols for plant height extraction from DEMs at different growth stages as the hand measurements can be used to test the accuracy.
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    Temporally resolved growth patterns in diverse maize panel
    (2023-01-27) Sweet, Dorothy D; Tirado, Sara B; Cooper, Julian S; Springer, Nathan M; Hirsch, Cory D; Hirsch, Candice N; cnhirsch@umn.edu; Hirsch, Candice N; Candice Hirsch Lab; Cory Hirsch Lab
    Plant height is used in many breeding programs for assessing plant health across environments and predicting yield, which can be used in identifying superior hybrids or evaluating abiotic stress factors. This has often been measured at a single time point when plants have reached their terminal height for the season. Collection of plant height using unoccupied aerial vehicles (UAVs) is faster, allowing for measurements throughout the growing season which could facilitate a better understanding of plant-environment interaction and responses. To assess variation in plant height and growth rate throughout development, plant height data was collected weekly for a panel of ~500 diverse inbred lines over four growing seasons. The variation in plant height throughout the season was found to be significantly explained by genotype, year, and genotype-by-year interactions throughout vegetative growth. However, the relative contributions of these different sources of variation fluctuated throughout development. This variation was further captured by Fréchet distance values which identified genotypes with consistently high or low distances in each of the four years - high distance genotypes being more dissimilar between replications and therefore capturing more environmental variation. Genome-wide association studies revealed many significant SNPs associated with plant height and growth rate at different parts of the growing season that would not be identified by terminal height alone. When comparing growth rates estimated from plant height to growth rates estimated from another morphological characteristic, canopy cover, we found greater stability in growth curves estimated by plant height. This potentially makes canopy cover more useful for understanding environmental modulation of overall plant growth and plant height better for understanding genotypic modulation of overall plant growth. Overall, this suggests evaluations of plant growth throughout the season provide more information than terminal plant height alone.