Search Results - "Horne, David W"

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  1. 1

    Measurement and Calibration of Plant-Height from Fixed-Wing UAV Images by Han, Xiongzhe, Thomasson, J Alex, Bagnall, G Cody, Pugh, N Ace, Horne, David W, Rooney, William L, Jung, Jinha, Chang, Anjin, Malambo, Lonesome, Popescu, Sorin C, Gates, Ian T, Cope, Dale A

    Published in Sensors (Basel, Switzerland) (22-11-2018)
    “…Continuing population growth will result in increasing global demand for food and fiber for the foreseeable future. During the growing season, variability in…”
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    Journal Article
  2. 2

    Temporal Estimates of Crop Growth in Sorghum and Maize Breeding Enabled by Unmanned Aerial Systems by Pugh, N. Ace, Horne, David W., Murray, Seth C., Carvalho, Geraldo, Malambo, Lonesome, Jung, Jinha, Chang, Anjin, Maeda, Murilo, Popescu, Sorin, Chu, Tianxing, Starek, Michael J., Brewer, Michael J., Richardson, Grant, Rooney, William L.

    Published in Plant phenome journal (01-01-2018)
    “…Core Ideas We comprehensively validated the use of UAS in sorghum and maize breeding programs. Temporal estimates of plant growth will allow researchers to…”
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    Journal Article
  3. 3

    Responses to Recurrent Index Selection for Reduced Fusarium Ear Rot and Lodging and for Increased Yield in Maize by Horne, David W., Eller, Magen S., Holland, James B.

    Published in Crop science (01-01-2016)
    “…ABSTRACT Fusarium ear rot, caused by the pathogen Fusarium verticillioides, damages maize (Zea mays L.) grain production and is associated with contamination…”
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    Journal Article
  4. 4

    Registration of 11 diverse sorghum germplasm lines for grain and silage hybrid production by Horne, David W., Patil, Nikhil Y., Klein, Robert R., Miller, Fred R., Hoffmann, Leo, Klein, Patricia E., Rooney, William L.

    Published in Journal of plant registrations (01-05-2020)
    “…Genotypic variance is necessary for trait improvement because limited diversity can reduce genetic gains in crop improvement. To maintain genetic diversity, a…”
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    Journal Article
  5. 5

    Optimization of UAS‐based high‐throughput phenotyping to estimate plant health and grain yield in sorghum by Galli, Giovanni, Horne, David W., Collins, S. Delroy, Jung, Jinha, Chang, Anjin, Fritsche‐Neto, Roberto, Rooney, William L.

    Published in Plant phenome journal (2020)
    “…High‐throughput phenotyping (HTP) has enabled the acquisition of vast amounts of data. Therefore, finding the most informative phenological stage(s) and…”
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    Journal Article