Search Results - "Vieira, Caio Canella"

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  1. 1

    Across-environment seed protein stability and genetic architecture of seed components in soybean by Wu, Chengjun, Acuña, Andrea, Florez-Palacios, Liliana, Harrison, Derrick, Rogers, Daniel, Mozzoni, Leandro, Mian, Rouf, Canella Vieira, Caio

    Published in Scientific reports (16-07-2024)
    “…The recent surge in the plant-based protein market has resulted in high demands for soybean genotypes with improved grain yield, seed protein and oil content,…”
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    Journal Article
  2. 2

    Improving predictive ability in sparse testing designs in soybean populations by Persa, Reyna, Canella Vieira, Caio, Rios, Esteban, Hoyos-Villegas, Valerio, Messina, Carlos D, Runcie, Daniel, Jarquin, Diego

    Published in Frontiers in genetics (2023)
    “…The availability of high-dimensional genomic data and advancements in genome-based prediction models (GP) have revolutionized and contributed to accelerated…”
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    Decades of Genetic Research on Soybean mosaic virus Resistance in Soybean by Usovsky, Mariola, Chen, Pengyin, Li, Dexiao, Wang, Aiming, Shi, Ainong, Zheng, Cuiming, Shakiba, Ehsan, Lee, Dongho, Canella Vieira, Caio, Lee, Yi Chen, Wu, Chengjun, Cervantez, Innan, Dong, Dekun

    Published in Viruses (24-05-2022)
    “…This review summarizes the history and current state of the known genetic basis for soybean resistance to (SMV), and examines how the integration of molecular…”
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  4. 4

    Estimation of Off-Target Dicamba Damage on Soybean Using UAV Imagery and Deep Learning by Tian, Fengkai, Vieira, Caio Canella, Zhou, Jing, Zhou, Jianfeng, Chen, Pengyin

    Published in Sensors (Basel, Switzerland) (19-03-2023)
    “…Weeds can cause significant yield losses and will continue to be a problem for agricultural production due to climate change. Dicamba is widely used to control…”
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  5. 5

    Incorporation of Soil-Derived Covariates in Progeny Testing and Line Selection to Enhance Genomic Prediction Accuracy in Soybean Breeding by Canella Vieira, Caio, Persa, Reyna, Chen, Pengyin, Jarquin, Diego

    Published in Frontiers in genetics (08-09-2022)
    “…The availability of high-dimensional molecular markers has allowed plant breeding programs to maximize their efficiency through the genomic prediction of a…”
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  6. 6

    Differential responses of soybean genotypes to off‐target dicamba damage by Canella Vieira, Caio, Zhou, Jing, Cross, Cory, Heiser, James W., Diers, Brian, Riechers, Dean E., Zhou, Jianfeng, Hernandez Jarquin, Diego, Nguyen, Henry, Shannon, J. Grover, Chen, Pengyin

    Published in Crop science (01-07-2022)
    “…Since the commercialization and widespread adoption of dicamba‐tolerant (DT) soybean cultivars across the United States, numerous cases of off‐target damage to…”
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  7. 7

    Differentiate Soybean Response to Off-Target Dicamba Damage Based on UAV Imagery and Machine Learning by Vieira, Caio Canella, Sarkar, Shagor, Tian, Fengkai, Zhou, Jing, Jarquin, Diego, Nguyen, Henry T., Zhou, Jianfeng, Chen, Pengyin

    Published in Remote sensing (Basel, Switzerland) (01-04-2022)
    “…The wide adoption of dicamba-tolerant (DT) soybean has led to numerous cases of off-target dicamba damage to non-DT soybean and dicot crops. This study aimed…”
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  8. 8

    Improve Soybean Variety Selection Accuracy Using UAV-Based High-Throughput Phenotyping Technology by Zhou, Jing, Beche, Eduardo, Vieira, Caio Canella, Yungbluth, Dennis, Zhou, Jianfeng, Scaboo, Andrew, Chen, Pengyin

    Published in Frontiers in plant science (11-01-2022)
    “…The efficiency of crop breeding programs is evaluated by the genetic gain of a primary trait of interest, e.g., yield, achieved in 1 year through artificial…”
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  9. 9

    Genetic architecture of soybean tolerance to off-target dicamba by Canella Vieira, Caio, Zhou, Jing, Jarquin, Diego, Zhou, Jianfeng, Diers, Brian, Riechers, Dean E., Nguyen, Henry T., Shannon, Grover

    Published in Frontiers in plant science (09-10-2023)
    “…The adoption of dicamba-tolerant (DT) soybean in the United States resulted in extensive off-target dicamba damage to non-DT vegetation across…”
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  10. 10

    Exploring Machine Learning Algorithms to Unveil Genomic Regions Associated With Resistance to Southern Root-Knot Nematode in Soybeans by Canella Vieira, Caio, Zhou, Jing, Usovsky, Mariola, Vuong, Tri, Howland, Amanda D, Lee, Dongho, Li, Zenglu, Zhou, Jianfeng, Shannon, Grover, Nguyen, Henry T, Chen, Pengyin

    Published in Frontiers in plant science (03-05-2022)
    “…Southern root-knot nematode [SRKN, (Kofold & White) Chitwood] is a plant-parasitic nematode challenging to control due to its short life cycle, a wide range of…”
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    Identification of genomic regions associated with soybean responses to off-target dicamba exposure by Canella Vieira, Caio, Jarquin, Diego, do Nascimento, Emanuel Ferrari, Lee, Dongho, Zhou, Jing, Smothers, Scotty, Zhou, Jianfeng, Diers, Brian, Riechers, Dean E, Xu, Dong, Shannon, Grover, Chen, Pengyin, Nguyen, Henry T

    Published in Frontiers in plant science (09-12-2022)
    “…The widespread adoption of genetically modified (GM) dicamba-tolerant (DT) soybean was followed by numerous reports of off-target dicamba damage and yield…”
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    Selection of soybean lines exhibiting resistance to stink bug complex in distinct environments by Rocha, Fabiani, Vieira, Caio Canella, Ferreira, Mônica Christina, Oliveira, Kênia Carvalho, Moreira, Fabiana Freitas, Pinheiro, José Baldin

    Published in Food and energy security (01-07-2015)
    “…In soybean, stink bugs are considered the most important pest insect as they feed directly from the grain, causing significant losses in seed yield and…”
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