Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.

Browsing by Author "Candice Hirsch Lab"

Now showing 1 - 10 of 10
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    Genomes to Fields Initiative Flight Data - Delaware 2020
    (2024-05-16) Sweet, Dorothy D; Hirsch, Candice N; Hirsch, Cory D; Sparks, Erin E; Miller, Jarrod O; cnhirsch@umn.edu; Hirsch, Candice N; Candice Hirsch Lab; Cory Hirsch Lab
    This dataset (DRUM 1 of 8) is a subset of the flight data collected through the Genomes to Fields Initiative in 2020 and 2021. In conjunction with equivalent datasets on similar material at alternate locations, this data provides a valuable resource for evaluating the performance and stability of hybrid maize across many environments. Many flights throughout the growing season were conducted at these locations (Delaware, Minnesota, Missouri, Nebraska, and Texas) and this dataset includes the orthomosaics, digital elevation models, plot shapefiles, and extracted plant height values for each of those flights following the pipeline from Anderson, Steven L., II, Seth C. Murray, Lonesome Malambo, Colby Ratcliff, Sorin Popescu, Dale Cope, Anjin Chang, Jinha Jung, and J. Alex Thomasson. 2019. “Prediction of Maize Grain Yield before Maturity Using Improved Temporal Height Estimates of Unmanned Aerial Systems.” The Plant Phenome Journal 2 (1): 1–15.. This maize experiment consisted of over 1000 maize hybrids grown in partial replication across 8 environments in 2 years. A set of common hybrids were grown in every location in order to establish a connection between environments, Within the partially replicated set, hybrids were produced by the cross of double haploids derived from the WI-SS-MAGIC population to the inbred testers PHK76, PHP02, and PHZ51 with the tester choice depending on the relative maturity zone of the location. For this location (Delaware 2020) all testers were used. A modified randomized complete block design was used for testing.
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    Genomes to Fields Initiative Flight Data - Minnesota 2020
    (2024-05-16) Sweet, Dorothy D; Hirsch, Candice N; Hirsch, Cory D; cnhirsch@umn.edu; Hirsch, Candice N; Candice Hirsch Lab; Cory Hirsch Lab
    This dataset (DRUM 2 of 8) is a subset of the flight data collected through the Genomes to Fields Initiative in 2020 and 2021. In conjunction with equivalent datasets on similar material at alternate locations, this data provides a valuable resource for evaluating the performance and stability of hybrid maize across many environments. Many flights throughout the growing season were conducted at these locations (Delaware, Minnesota, Missouri, Nebraska, and Texas) and this dataset includes the orthomosaics, digital elevation models, plot shapefiles, and extracted plant height values for each of those flights following the pipeline from Anderson, Steven L., II, Seth C. Murray, Lonesome Malambo, Colby Ratcliff, Sorin Popescu, Dale Cope, Anjin Chang, Jinha Jung, and J. Alex Thomasson. 2019. “Prediction of Maize Grain Yield before Maturity Using Improved Temporal Height Estimates of Unmanned Aerial Systems.” The Plant Phenome Journal 2 (1): 1–15.. This maize experiment consisted of over 1000 maize hybrids grown in partial replication across 8 environments in 2 years. A set of common hybrids were grown in every location in order to establish a connection between environments, Within the partially replicated set, hybrids were produced by the cross of double haploids derived from the WI-SS-MAGIC population to the inbred testers PHK76, PHP02, and PHZ51 with the tester choice depending on the relative maturity zone of the location. For this location (Minnesota 2020) PHP02 was used. A modified randomized complete block design was used for testing.
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    Genomes to Fields Initiative Flight Data - Minnesota 2021
    (2024-05-16) Sweet, Dorothy D; Hirsch, Candice N; Hirsch, Cory D; cnhirsch@umn.edu; Hirsch, Candice N; Candice Hirsch Lab; Cory Hirsch Lab
    This dataset (DRUM 3 of 8) is a subset of the flight data collected through the Genomes to Fields Initiative in 2020 and 2021. In conjunction with equivalent datasets on similar material at alternate locations, this data provides a valuable resource for evaluating the performance and stability of hybrid maize across many environments. Many flights throughout the growing season were conducted at these locations (Delaware, Minnesota, Missouri, Nebraska, and Texas) and this dataset includes the orthomosaics, digital elevation models, plot shapefiles, and extracted plant height values for each of those flights following the pipeline from Anderson, Steven L., II, Seth C. Murray, Lonesome Malambo, Colby Ratcliff, Sorin Popescu, Dale Cope, Anjin Chang, Jinha Jung, and J. Alex Thomasson. 2019. “Prediction of Maize Grain Yield before Maturity Using Improved Temporal Height Estimates of Unmanned Aerial Systems.” The Plant Phenome Journal 2 (1): 1–15.. This maize experiment consisted of over 1000 maize hybrids grown in partial replication across 8 environments in 2 years. A set of common hybrids were grown in every location in order to establish a connection between environments, Within the partially replicated set, hybrids were produced by the cross of double haploids derived from the WI-SS-MAGIC population to the inbred testers PHK76, PHP02, and PHZ51 with the tester choice depending on the relative maturity zone of the location. For this location (Minnesota 2021) PHP02 was used. A modified randomized complete block design was used for testing.
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    Genomes to Fields Initiative Flight Data - Missouri C5A 2020
    (2024-05-16) Sweet, Dorothy D; Hirsch, Cory D; Hirsch, Candice N; Flint-Garcia, Sherry A; Washburn, Jacob D; cnhirsch@umn.edu; Hirsch, Candice N; Candice Hirsch Lab; Cory Hirsch Lab
    This dataset (DRUM 4 of 8) is a subset of the flight data collected through the Genomes to Fields Initiative in 2020 and 2021. In conjunction with equivalent datasets on similar material at alternate locations, this data provides a valuable resource for evaluating the performance and stability of hybrid maize across many environments. Many flights throughout the growing season were conducted at these locations (Delaware, Minnesota, Missouri, Nebraska, and Texas) and this dataset includes the orthomosaics, digital elevation models, plot shapefiles, and extracted plant height values for each of those flights following the pipeline from Anderson, Steven L., II, Seth C. Murray, Lonesome Malambo, Colby Ratcliff, Sorin Popescu, Dale Cope, Anjin Chang, Jinha Jung, and J. Alex Thomasson. 2019. “Prediction of Maize Grain Yield before Maturity Using Improved Temporal Height Estimates of Unmanned Aerial Systems.” The Plant Phenome Journal 2 (1): 1–15.. This maize experiment consisted of over 1000 maize hybrids grown in partial replication across 8 environments in 2 years. A set of common hybrids were grown in every location in order to establish a connection between environments, Within the partially replicated set, hybrids were produced by the cross of double haploids derived from the WI-SS-MAGIC population to the inbred testers PHK76, PHP02, and PHZ51 with the tester choice depending on the relative maturity zone of the location. For this location (Missouri 2020) all testers were used. A modified randomized complete block design was used for testing.
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    Genomes to Fields Initiative Flight Data - Missouri C5B 2020 - Part 1
    (2024-05-16) Sweet, Dorothy D; Hirsch, Candice N; Hirsch, Cory D; Flint-Garcia, Sherry; Washburn, Jacob; cnhirsch@umn.edu; Hirsch, Candice N; Candice Hirsch Lab; Cory Hirsch Lab
    This dataset (DRUM 5 of 8) is a subset of the flight data collected through the Genomes to Fields Initiative in 2020 and 2021. In conjunction with equivalent datasets on similar material at alternate locations, this data provides a valuable resource for evaluating the performance and stability of hybrid maize across many environments. Many flights throughout the growing season were conducted at these locations (Delaware, Minnesota, Missouri, Nebraska, and Texas) and this dataset includes the orthomosaics, digital elevation models, plot shapefiles, and extracted plant height values for each of those flights following the pipeline from Anderson, Steven L., II, Seth C. Murray, Lonesome Malambo, Colby Ratcliff, Sorin Popescu, Dale Cope, Anjin Chang, Jinha Jung, and J. Alex Thomasson. 2019. “Prediction of Maize Grain Yield before Maturity Using Improved Temporal Height Estimates of Unmanned Aerial Systems.” The Plant Phenome Journal 2 (1): 1–15.. This maize experiment consisted of over 1000 maize hybrids grown in partial replication across 8 environments in 2 years. A set of common hybrids were grown in every location in order to establish a connection between environments, Within the partially replicated set, hybrids were produced by the cross of double haploids derived from the WI-SS-MAGIC population to the inbred testers PHK76, PHP02, and PHZ51 with the tester choice depending on the relative maturity zone of the location. For this location (Missouri 2020) all testers were used. A modified randomized complete block design was used for testing.
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    Genomes to Fields Initiative Flight Data - Missouri C5B 2020 - Part 2
    (2024-05-16) Sweet, Dorothy D; Hirsch, Cory D; Hirsch, Candice N; Flint-Garcia, Sherry; Washburn, Jacob; cnhirsch@umn.edu; Hirsch, Candice N; Candice Hirsch Lab; Cory Hirsch Lab
    This dataset (DRUM 6 of 8) is a subset of the flight data collected through the Genomes to Fields Initiative in 2020 and 2021. In conjunction with equivalent datasets on similar material at alternate locations, this data provides a valuable resource for evaluating the performance and stability of hybrid maize across many environments. Many flights throughout the growing season were conducted at these locations (Delaware, Minnesota, Missouri, Nebraska, and Texas) and this dataset includes the orthomosaics, DEMs, plot shapefiles, and extracted plant height values for each of those flights following the pipeline from Anderson, Steven L., II, Seth C. Murray, Lonesome Malambo, Colby Ratcliff, Sorin Popescu, Dale Cope, Anjin Chang, Jinha Jung, and J. Alex Thomasson. 2019. “Prediction of Maize Grain Yield before Maturity Using Improved Temporal Height Estimates of Unmanned Aerial Systems.” The Plant Phenome Journal 2 (1): 1–15.. This maize experiment consisted of over 1000 maize hybrids grown in partial replication across 8 environments in 2 years. A set of common hybrids were grown in every location in order to establish a connection between environments, Within the partially replicated set, hybrids were produced by the cross of double haploids derived from the WI-SS-MAGIC population to the inbred testers PHK76, PHP02, and PHZ51 with the tester choice depending on the relative maturity zone of the location. For this location (Missouri 2020) all testers were used. A modified randomized complete block design was used for testing.
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    Genomes to Fields Initiative Flight Data - Nebraska 2021
    (2024-05-16) Sweet, Dorothy D; Hirsch, Candice N; Hirsch, Cory D; Schnable, James; cnhirsch@umn.edu; Hirsch, Candice N; Candice Hirsch Lab; Cory Hirsch Lab
    This dataset (DRUM 7 of 8) is a subset of the flight data collected through the Genomes to Fields Initiative in 2020 and 2021. In conjunction with equivalent datasets on similar material at alternate locations, this data provides a valuable resource for evaluating the performance and stability of hybrid maize across many environments. Many flights throughout the growing season were conducted at these locations (Delaware, Minnesota, Missouri, Nebraska, and Texas) and this dataset includes the orthomosaics, digital elevation models, plot shapefiles, and extracted plant height values for each of those flights following the pipeline from Anderson, Steven L., II, Seth C. Murray, Lonesome Malambo, Colby Ratcliff, Sorin Popescu, Dale Cope, Anjin Chang, Jinha Jung, and J. Alex Thomasson. 2019. “Prediction of Maize Grain Yield before Maturity Using Improved Temporal Height Estimates of Unmanned Aerial Systems.” The Plant Phenome Journal 2 (1): 1–15.. This maize experiment consisted of over 1000 maize hybrids grown in partial replication across 8 environments in 2 years. A set of common hybrids were grown in every location in order to establish a connection between environments, Within the partially replicated set, hybrids were produced by the cross of double haploids derived from the WI-SS-MAGIC population to the inbred testers PHK76, PHP02, and PHZ51 with the tester choice depending on the relative maturity zone of the location. For this location (Nebraska 2021) PHZ51 was used. A modified randomized complete block design was used for testing.
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    Genomes to Fields Initiative Flight Data - Texas 2020
    (2024-05-16) Sweet, Dorothy D; Hirsch, Cory D; Hirsch, Candice N; Murray, Seth; cnhirsch@umn.edu; Hirsch, Candice N; Candice Hirsch Lab; Cory Hirsch Lab
    This dataset (DRUM 8 of 8) is a subset of the flight data collected through the Genomes to Fields Initiative in 2020 and 2021. In conjunction with equivalent datasets on similar material at alternate locations, this data provides a valuable resource for evaluating the performance and stability of hybrid maize across many environments. Many flights throughout the growing season were conducted at these locations (Delaware, Minnesota, Missouri, Nebraska, and Texas) and this dataset includes the orthomosaics, digital elevation models, plot shapefiles, and extracted plant height values for each of those flights following the pipeline from Anderson, Steven L., II, Seth C. Murray, Lonesome Malambo, Colby Ratcliff, Sorin Popescu, Dale Cope, Anjin Chang, Jinha Jung, and J. Alex Thomasson. 2019. “Prediction of Maize Grain Yield before Maturity Using Improved Temporal Height Estimates of Unmanned Aerial Systems.” The Plant Phenome Journal 2 (1): 1–15.. This maize experiment consisted of over 1000 maize hybrids grown in partial replication across 8 environments in 2 years. A set of common hybrids were grown in every location in order to establish a connection between environments, Within the partially replicated set, hybrids were produced by the cross of double haploids derived from the WI-SS-MAGIC population to the inbred testers PHK76, PHP02, and PHZ51 with the tester choice depending on the relative maturity zone of the location. For this location (Texas 2020) PHZ51 was used. A modified randomized complete block design was used for testing.
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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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    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.