Hakutulokset - Ravi P. Singh

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  1. 1
    Combining High‐Throughput Phenotyping and Genomic Information to Increase Prediction and Selection Accuracy in Wheat Breeding

    Combining High‐Throughput Phenotyping and Genomic Information to Increase Prediction and Selection Accuracy in Wheat Breeding Tekijä Jared Crain, Suchismita Mondal, Jessica Rutkoski, Ravi P. Singh, Jesse Poland

    Julkaistu 2018
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  2. 2
    Identification of genomic regions for grain yield and yield stability and their epistatic interactions

    Identification of genomic regions for grain yield and yield stability and their epistatic interactions Tekijä Deepmala Sehgal, Enrique Autrique, Ravi P. Singh, Marc H. Ellis, Sukhwinder Singh, Susanne Dreisigacker

    Julkaistu 2017
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  3. 3
    Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat

    Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat Tekijä Jessica Rutkoski, Jesse Poland, Suchismita Mondal, Enrique Autrique, Lorena González-Pérez, José Crossa, Matthew Reynolds, Ravi P. Singh

    Julkaistu 2016
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  4. 4
    Drought and Heat Stress Impacts on Phenolic Acids Accumulation in Durum Wheat Cultivars

    Drought and Heat Stress Impacts on Phenolic Acids Accumulation in Durum Wheat Cultivars Tekijä Barbara Laddomada, Antonio Blanco, Giovanni Mita, Leone D’Amico, Ravi P. Singh, Karim Ammar, José Crossa, Carlos Guzmán

    Julkaistu 2021
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  5. 5
    Regularized selection indices for breeding value prediction using hyper-spectral image data

    Regularized selection indices for breeding value prediction using hyper-spectral image data Tekijä Marco Lopez‐Cruz, Eric Olson, G. Rovere, José Crossa, Susanne Dreisigacker, Suchismita Mondal, Ravi P. Singh, Gustavo de los Campos

    Julkaistu 2020
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  6. 6
    A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding

    A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding Tekijä Osval A. Montesinos‐López, Javier Martín‐Vallejo, José Crossa, Daniel Gianola, Carlos Hernández-Suárez, Abelardo Montesinos‐López, Philomin Juliana, Ravi P. Singh

    Julkaistu 2018
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  7. 7
    New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes

    New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes Tekijä Osval A. Montesinos‐López, Javier Martín‐Vallejo, José Crossa, Daniel Gianola, Carlos Hernández-Suárez, Abelardo Montesinos‐López, Philomin Juliana, Ravi P. Singh

    Julkaistu 2019
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  8. 8
    Increased Prediction Accuracy in Wheat Breeding Trials Using a Marker × Environment Interaction Genomic Selection Model

    Increased Prediction Accuracy in Wheat Breeding Trials Using a Marker × Environment Interaction Genomic Selection Model Tekijä Marco Lopez‐Cruz, José Crossa, David Bonnett, Susanne Dreisigacker, Jesse Poland, Jean‐Luc Jannink, Ravi P. Singh, Enrique Autrique, Gustavo de los Campos

    Julkaistu 2015
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  9. 9
    Hybrid Wheat Prediction Using Genomic, Pedigree, and Environmental Covariables Interaction Models

    Hybrid Wheat Prediction Using Genomic, Pedigree, and Environmental Covariables Interaction Models Tekijä Bhoja R. Basnet, José Crossa, Susanne Dreisigacker, Paulino Pérez‐Rodríguez, Yann Manès, Ravi P. Singh, Umesh R. Rosyara, Fatima Camarillo‐Castillo, Mercedes Murua

    Julkaistu 2018
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  10. 10
    Single‐Step Genomic and Pedigree Genotype × Environment Interaction Models for Predicting Wheat Lines in International Environments

    Single‐Step Genomic and Pedigree Genotype × Environment Interaction Models for Predicting Wheat Lines in International Environments Tekijä Paulino Pérez‐Rodríguez, José Crossa, Jessica Rutkoski, Jesse Poland, Ravi P. Singh, Andrés Legarra, Enrique Autrique, Gustavo de los Campos, Juan Burgueño, Susanne Dreisigacker

    Julkaistu 2017
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  11. 11
    Strategies for Selecting Crosses Using Genomic Prediction in Two Wheat Breeding Programs

    Strategies for Selecting Crosses Using Genomic Prediction in Two Wheat Breeding Programs Tekijä Bettina Lado, Sarah Battenfield, Carlos Guzmán, Martín Quincke, Ravi P. Singh, Susanne Dreisigacker, R. J. Peña, Allan K. Fritz, Paula Silva, Jesse Poland, Lucı́a Gutiérrez

    Julkaistu 2017
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  12. 12
    Genomic-enabled prediction with classification algorithms

    Genomic-enabled prediction with classification algorithms Tekijä Leonardo Ornella, Paulino Pérez‐Rodríguez, Elizabeth Tapia, Juan Manuel González‐Camacho, Juan Burgueño, Xuecai Zhang, Sukhwinder Singh, Félix San Vicente, David Bonnett, Susanne Dreisigacker, Ravi P. Singh, N. Long, José Crossa

    Julkaistu 2014
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  13. 13
    Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers

    Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers Tekijä José Crossa, Gustavo de los Campos, Paulino Pérez‐Rodríguez, Daniel Gianola, Juan Burgueño, J. L. Araus, Dan Makumbi, Ravi P. Singh, Susanne Dreisigacker, Jianbing Yan, Vivi N. Arief, Marianne Bänziger, Hans‐Joachim Braun

    Julkaistu 2010
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  14. 14
    Detection and characterization of fungus (Magnaporthe oryzae pathotype Triticum) causing wheat blast disease on rain-fed grown wheat (Triticum aestivum L.) in Zambia

    Detection and characterization of fungus (Magnaporthe oryzae pathotype Triticum) causing wheat blast disease on rain-fed grown wheat (Triticum aestivum L.) in Zambia Tekijä Batiseba Tembo, Rabson M. Mulenga, Suwilanji Sichilima, Kenneth K. M’siska, Moses Mwale, Patrick Chiza Chikoti, P. K. Singh, Xinyao He, Kerry F. Pedley, Gary L. Peterson, Ravi P. Singh, Hans J. Braun

    Julkaistu 2020
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  15. 15
    Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat

    Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat Tekijä Philomin Juliana, Osval A. Montesinos‐López, José Crossa, Suchismita Mondal, Lorena González-Pérez, Jesse Poland, Julio Huerta‐Espino, Leonardo Crespo‐Herrera, Velu Govindan, Susanne Dreisigacker, Sandesh Shrestha, Paulino Pérez‐Rodríguez, Francisco Pinto, Ravi P. Singh

    Julkaistu 2018
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