Publications by authors named "Toshimi Baba"

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Development of prediction equations for immunoglobulin A, immunoglobulin G, and immunoglobulin M concentrations in mature milk from Holstein cows using milk infrared spectral data.
Yuri Satake, Teppei Katsura, Tao Zhuang, Megumi Urakawa, Yugo Mineshima, Toshimi Baba

J Dairy Sci· July 2025

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Characterization of conception rate after embryo transfer in comparison with that after artificial insemination in dairy cattle.
Shuhei Fukaya, Takeshi Yamazaki, Hayato Abe, Satoshi Nakagawa, Toshimi Baba

J Dairy Sci· November 2024

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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, Toshimi Baba, Junpei Kawakami

J Dairy Sci· June 2024

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Genetic aspects of immunoglobulins and cyclophilin A in milk as potential indicators of mastitis resistance in Holstein cows.
Yoshinobu Uemoto, Teppei Katsura, Yuma Endo, Koutaro Tanaka, Tao Zhuang, Toshimi Baba

J Dairy Sci· March 2024

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Longitudinal genome-wide association analysis using a single-step random regression model for height in Japanese Holstein cattle.
Toshimi Baba, Gota Morota, Junpei Kawakami, Yusaku Gotoh, Taro Oka

JDS Commun· September 2023

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Environmental factors affecting the conception rates of nulliparous and primiparous dairy cattle.
Haruka Ukita, Takeshi Yamazaki, Satoshi Yamaguchi, Hayato Abe, Toshimi Baba

J Dairy Sci· August 2022

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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, Junpei Kawakami, Koichi Hagiya

Anim Sci J· June 2022

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Evaluating the performance of machine learning methods and variable selection methods for predicting difficult-to-measure traits in Holstein dairy cattle using milk infrared spectral data.
Lucio F M Mota, Sara Pegolo, Toshimi Baba, Francisco Peñagaricano, Gota Morota

J Dairy Sci· July 2021

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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, Gota Morota, Francisco Peñagaricano

Animals (Basel)· July 2021

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Integrating genomic and infrared spectral data improves the prediction of milk protein composition in dairy cattle.
Toshimi Baba, Sara Pegolo, Lucio F M Mota, Francisco Peñagaricano, Giovanni Bittante

Genet Sel Evol· March 2021

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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, Harkamal Walia, Gota Morota

PLoS One· April 2020

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Genetic parameters for mastitis incidence and its indicators based on somatic cell score for Holsteins in Hokkaido, Japan.
Satoshi Yamaguchi, Yutaka Masuda, Satoshi Nakagawa, Hayato Abe, Yusaku Gotoh, Toshimi Baba

Anim Sci J· August 2019

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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, Satoshi Nakagawa, Hayato Abe

Anim Sci J· August 2017

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Genetic analysis of twinning rate and milk yield using a threshold-linear model in Japanese Holsteins.
Yutaka Masuda, Toshimi Baba, Mitsuyoshi Suzuki

Anim Sci J· January 2015

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