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Akio Onogi

Showing results (11-20 of 33) with videos related to

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Breeding Science|October 2, 2024
NARO historical phenotype dataset from rice breedingKei Matsushita, Akio Onogi, Jun-Ichi Yonemaru
Plos One|June 13, 2015
A Ranking Approach to Genomic SelectionMathieu Blondel, Akio Onogi, Hiroyoshi Iwata, et al.
BMC Genomics|July 8, 2021
Genomic prediction with non-additive effects in beef cattle: stability of variance component and genetic effect estimates against population sizeAkio Onogi, Toshio Watanabe, Atsushi Ogino, et al.
Viral Immunology|December 3, 2009
Specific intracellular localization and antiviral property of genetic and splicing variants in bovine Mx1Kohji Yamada, Yuichiro Nakatsu, Akio Onogi, et al.
Genetics, Selection, Evolution : GSE|May 4, 2019
Development of a structural growth curve model that considers the causal effect of initial phenotypesAkio Onogi, Atsushi Ogino, Ayako Sato, et al.
Animal Science Journal = Nihon Chikusan Gakkaiho|October 1, 2024
Genetic parameters of behavior traits of beef cattle classified using wearable devicesAkio Onogi, Riku Fujii, Toshio Watanabe, et al.
Plos One|February 10, 2016
Uncovering a Nuisance Influence of a Phenological Trait of Plants Using a Nonlinear Structural Equation: Application to Days to Heading and Culm Length in Asian Cultivated Rice (Oryza Sativa L.)Akio Onogi, Osamu Ideta, Takuma Yoshioka, et al.
Animal Frontiers : the Review Magazine of Animal Agriculture|May 15, 2026
Artificial intelligence in animal breeding and genetics: applications, opportunities, and challengesGota Morota, Hyo-Jun Lee, Seung-Hwan Lee, et al.
Journal of Interferon & Cytokine Research : the Official Journal of the International Society for Interferon and Cytokine Research|February 11, 2009
Structural and functional analysis of the bovine Mx1 promoterKohji Yamada, Yuichiro Nakatsu, Akio Onogi, et al.
Frontiers in Genetics|January 14, 2022
A Method for Identifying Environmental Stimuli and Genes Responsible for Genotype-by-Environment Interactions From a Large-Scale Multi-Environment Data SetAkio Onogi, Daisuke Sekine, Akito Kaga, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
Breeding Science|October 2, 2024
NARO historical phenotype dataset from rice breedingKei Matsushita, Akio Onogi, Jun-Ichi Yonemaru
Plos One|June 13, 2015
A Ranking Approach to Genomic SelectionMathieu Blondel, Akio Onogi, Hiroyoshi Iwata, et al.
BMC Genomics|July 8, 2021
Genomic prediction with non-additive effects in beef cattle: stability of variance component and genetic effect estimates against population sizeAkio Onogi, Toshio Watanabe, Atsushi Ogino, et al.
Viral Immunology|December 3, 2009
Specific intracellular localization and antiviral property of genetic and splicing variants in bovine Mx1Kohji Yamada, Yuichiro Nakatsu, Akio Onogi, et al.
Genetics, Selection, Evolution : GSE|May 4, 2019
Development of a structural growth curve model that considers the causal effect of initial phenotypesAkio Onogi, Atsushi Ogino, Ayako Sato, et al.
Animal Science Journal = Nihon Chikusan Gakkaiho|October 1, 2024
Genetic parameters of behavior traits of beef cattle classified using wearable devicesAkio Onogi, Riku Fujii, Toshio Watanabe, et al.
Plos One|February 10, 2016
Uncovering a Nuisance Influence of a Phenological Trait of Plants Using a Nonlinear Structural Equation: Application to Days to Heading and Culm Length in Asian Cultivated Rice (Oryza Sativa L.)Akio Onogi, Osamu Ideta, Takuma Yoshioka, et al.
Animal Frontiers : the Review Magazine of Animal Agriculture|May 15, 2026
Artificial intelligence in animal breeding and genetics: applications, opportunities, and challengesGota Morota, Hyo-Jun Lee, Seung-Hwan Lee, et al.
Journal of Interferon & Cytokine Research : the Official Journal of the International Society for Interferon and Cytokine Research|February 11, 2009
Structural and functional analysis of the bovine Mx1 promoterKohji Yamada, Yuichiro Nakatsu, Akio Onogi, et al.
Frontiers in Genetics|January 14, 2022
A Method for Identifying Environmental Stimuli and Genes Responsible for Genotype-by-Environment Interactions From a Large-Scale Multi-Environment Data SetAkio Onogi, Daisuke Sekine, Akito Kaga, et al.
Pageof 4