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Gota Morota

Showing results (21-30 of 82) with videos related to

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Plant Methods|September 25, 2019
Utilizing trait networks and structural equation models as tools to interpret multi-trait genome-wide association studiesMehdi Momen, Malachy T Campbell, Harkamal Walia, et al.
G3 (Bethesda, Md.)|August 21, 2019
Predicting Longitudinal Traits Derived from High-Throughput Phenomics in Contrasting Environments Using Genomic Legendre Polynomials and B-SplinesMehdi Momen, Malachy T Campbell, Harkamal Walia, et al.
Journal of Experimental Botany|June 12, 2020
Leveraging genome-enabled growth models to study shoot growth responses to water deficit in riceMalachy T Campbell, Alexandre Grondin, Harkamal Walia, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 27, 2022
Statistical Methods for the Quantitative Genetic Analysis of High-Throughput Phenotyping DataGota Morota, Diego Jarquin, Malachy T Campbell, et al.
Animals : an Open Access Journal From MDPI|March 28, 2025
Predicting Dairy Calf Body Weight from Depth Images Using Deep Learning (YOLOv8) and Threshold Segmentation with Cross-Validation and Longitudinal AnalysisMingsi Liao, Gota Morota, Ye Bi, et al.
BMC Genomics|February 8, 2014
Genome-enabled prediction of quantitative traits in chickens using genomic annotationGota Morota, Rostam Abdollahi-Arpanahi, Andreas Kranis, et al.
Journal of Animal Science|August 31, 2018
Do stronger measures of genomic connectedness enhance prediction accuracies across management units?Haipeng Yu, Matthew L Spangler, Ronald M Lewis, et al.
G3 (Bethesda, Md.)|September 2, 2017
Genomic Relatedness Strengthens Genetic Connectedness Across Management UnitsHaipeng Yu, Matthew L Spangler, Ronald M Lewis, et al.
Plant Direct|February 3, 2021
Modeling multiple phenotypes in wheat using data-driven genomic exploratory factor analysis and Bayesian network learningMehdi Momen, Madhav Bhatta, Waseem Hussain, et al.
Frontiers in Genetics|April 10, 2014
Kernel-based variance component estimation and whole-genome prediction of pre-corrected phenotypes and progeny tests for dairy cow health traitsGota Morota, Prashanth Boddhireddy, Natascha Vukasinovic, et al.
Pageof 9

Showing results (21-30 of 82) with videos related to

Sort By:
Pageof 9
Plant Methods|September 25, 2019
Utilizing trait networks and structural equation models as tools to interpret multi-trait genome-wide association studiesMehdi Momen, Malachy T Campbell, Harkamal Walia, et al.
G3 (Bethesda, Md.)|August 21, 2019
Predicting Longitudinal Traits Derived from High-Throughput Phenomics in Contrasting Environments Using Genomic Legendre Polynomials and B-SplinesMehdi Momen, Malachy T Campbell, Harkamal Walia, et al.
Journal of Experimental Botany|June 12, 2020
Leveraging genome-enabled growth models to study shoot growth responses to water deficit in riceMalachy T Campbell, Alexandre Grondin, Harkamal Walia, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 27, 2022
Statistical Methods for the Quantitative Genetic Analysis of High-Throughput Phenotyping DataGota Morota, Diego Jarquin, Malachy T Campbell, et al.
Animals : an Open Access Journal From MDPI|March 28, 2025
Predicting Dairy Calf Body Weight from Depth Images Using Deep Learning (YOLOv8) and Threshold Segmentation with Cross-Validation and Longitudinal AnalysisMingsi Liao, Gota Morota, Ye Bi, et al.
BMC Genomics|February 8, 2014
Genome-enabled prediction of quantitative traits in chickens using genomic annotationGota Morota, Rostam Abdollahi-Arpanahi, Andreas Kranis, et al.
Journal of Animal Science|August 31, 2018
Do stronger measures of genomic connectedness enhance prediction accuracies across management units?Haipeng Yu, Matthew L Spangler, Ronald M Lewis, et al.
G3 (Bethesda, Md.)|September 2, 2017
Genomic Relatedness Strengthens Genetic Connectedness Across Management UnitsHaipeng Yu, Matthew L Spangler, Ronald M Lewis, et al.
Plant Direct|February 3, 2021
Modeling multiple phenotypes in wheat using data-driven genomic exploratory factor analysis and Bayesian network learningMehdi Momen, Madhav Bhatta, Waseem Hussain, et al.
Frontiers in Genetics|April 10, 2014
Kernel-based variance component estimation and whole-genome prediction of pre-corrected phenotypes and progeny tests for dairy cow health traitsGota Morota, Prashanth Boddhireddy, Natascha Vukasinovic, et al.
Pageof 9