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Animal Science Journal = Nihon Chikusan Gakkaiho
|
July 22, 2014
Genetic analysis of twinning rate and milk yield using a threshold-linear model in Japanese Holsteins
Yutaka Masuda, Toshimi Baba, Mitsuyoshi Suzuki
Animal Science Journal = Nihon Chikusan Gakkaiho
|
June 9, 2022
Longitudinal genetic analysis of semen production traits in Holstein bulls according to a random regression animal models on age
Ikuko Fujimoto, Takeshi Hanamure, Toshimi Baba, et al.
Plos One
|
February 4, 2020
Multi-trait random regression models increase genomic prediction accuracy for a temporal physiological trait derived from high-throughput phenotyping
Toshimi Baba, Mehdi Momen, Malachy T Campbell, et al.
Journal of Dairy Science
|
January 21, 2024
Genetic parameters for novel mastitis traits defined by combining test-day somatic cell score and differential somatic cell count in the first lactation of Japanese Holsteins
Che-Hsuan Huang, Kenji Furukawa, Nobuyuki Kusaba, et al.
Genetics, Selection, Evolution : GSE
|
February 22, 2026
A modified indirect method for computing inbreeding coefficients
Che Hsuan Huang, Seijiro Hirama, Toshimi Baba, et al.
Animal Science Journal = Nihon Chikusan Gakkaiho
|
December 8, 2016
Application of single-step genomic best linear unbiased prediction with a multiple-lactation random regression test-day model for Japanese Holsteins
Toshimi Baba, Yusaku Gotoh, Satoshi Yamaguchi, et al.
Animal Science Journal = Nihon Chikusan Gakkaiho
|
June 12, 2019
Genetic parameters for mastitis incidence and its indicators based on somatic cell score for Holsteins in Hokkaido, Japan
Satoshi Yamaguchi, Yutaka Masuda, Satoshi Nakagawa, et al.
JDS Communications
|
May 4, 2026
Computing inbreeding coefficients accounting for unknown parents using pedigree-based metafounders
Che Hsuan Huang, Seijiro Hirama, Toshimi Baba, et al.
Genetics, Selection, Evolution : GSE
|
March 17, 2021
Integrating genomic and infrared spectral data improves the prediction of milk protein composition in dairy cattle
Toshimi Baba, Sara Pegolo, Lucio F M Mota, et al.
Animals : an Open Access Journal From MDPI
|
August 7, 2021
Comparison of Single-Breed and Multi-Breed Training Populations for Infrared Predictions of Novel Phenotypes in Holstein Cows
Lucio Flavio Macedo Mota, Sara Pegolo, Toshimi Baba, et al.
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Search research articles
Search
Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
Animal Science Journal = Nihon Chikusan Gakkaiho
|
July 22, 2014
Genetic analysis of twinning rate and milk yield using a threshold-linear model in Japanese Holsteins
Yutaka Masuda, Toshimi Baba, Mitsuyoshi Suzuki
Animal Science Journal = Nihon Chikusan Gakkaiho
|
June 9, 2022
Longitudinal genetic analysis of semen production traits in Holstein bulls according to a random regression animal models on age
Ikuko Fujimoto, Takeshi Hanamure, Toshimi Baba, et al.
Plos One
|
February 4, 2020
Multi-trait random regression models increase genomic prediction accuracy for a temporal physiological trait derived from high-throughput phenotyping
Toshimi Baba, Mehdi Momen, Malachy T Campbell, et al.
Journal of Dairy Science
|
January 21, 2024
Genetic parameters for novel mastitis traits defined by combining test-day somatic cell score and differential somatic cell count in the first lactation of Japanese Holsteins
Che-Hsuan Huang, Kenji Furukawa, Nobuyuki Kusaba, et al.
Genetics, Selection, Evolution : GSE
|
February 22, 2026
A modified indirect method for computing inbreeding coefficients
Che Hsuan Huang, Seijiro Hirama, Toshimi Baba, et al.
Animal Science Journal = Nihon Chikusan Gakkaiho
|
December 8, 2016
Application of single-step genomic best linear unbiased prediction with a multiple-lactation random regression test-day model for Japanese Holsteins
Toshimi Baba, Yusaku Gotoh, Satoshi Yamaguchi, et al.
Animal Science Journal = Nihon Chikusan Gakkaiho
|
June 12, 2019
Genetic parameters for mastitis incidence and its indicators based on somatic cell score for Holsteins in Hokkaido, Japan
Satoshi Yamaguchi, Yutaka Masuda, Satoshi Nakagawa, et al.
JDS Communications
|
May 4, 2026
Computing inbreeding coefficients accounting for unknown parents using pedigree-based metafounders
Che Hsuan Huang, Seijiro Hirama, Toshimi Baba, et al.
Genetics, Selection, Evolution : GSE
|
March 17, 2021
Integrating genomic and infrared spectral data improves the prediction of milk protein composition in dairy cattle
Toshimi Baba, Sara Pegolo, Lucio F M Mota, et al.
Animals : an Open Access Journal From MDPI
|
August 7, 2021
Comparison of Single-Breed and Multi-Breed Training Populations for Infrared Predictions of Novel Phenotypes in Holstein Cows
Lucio Flavio Macedo Mota, Sara Pegolo, Toshimi Baba, et al.
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of 2