Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Toshimi Baba"'
Autor:
Yoshinobu Uemoto, Teppei Katsura, Yuma Endo, Koutaro Tanaka, Tao Zhuang, Megumi Urakawa, Toshimi Baba, Gaku Yoshida, Haifei Wang, Haruki Kitazawa, Hitoshi Shirakawa, Takehiko Nakamura, Tomonori Nochi, Hisashi Aso
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 3, Pp 1577-1591 (2024)
ABSTRACT: Mastitis is one of the most frequent and costly diseases affecting dairy cattle. Natural antibodies (immunoglobulins) and cyclophilin A (CyPA), the most abundant member of the family of peptidyl prolyl cis/trans isomerases, in milk may serv
Externí odkaz:
https://doaj.org/article/f8dd09a00da6494fa6a007ae5a7058e7
Autor:
Toshimi Baba, Gota Morota, Junpei Kawakami, Yusaku Gotoh, Taro Oka, Yutaka Masuda, Luiz F. Brito, Rebbeca R. Cockrum, Takayoshi Kawahara
Publikováno v:
JDS Communications, Vol 4, Iss 5, Pp 363-368 (2023)
Growth traits, such as body weight and height, are essential in the design of genetic improvement programs of dairy cattle due to their relationship with feeding efficiency, longevity, and health. We investigated genomic regions influencing height ac
Externí odkaz:
https://doaj.org/article/3c884ed0f83b47e4b12fbc1632787883
Autor:
Haruka Ukita, Takeshi Yamazaki, Satoshi Yamaguchi, Hayato Abe, Toshimi Baba, Hanako Bai, Masashi Takahashi, Manabu Kawahara
Publikováno v:
Journal of Dairy Science, Vol 105, Iss 8, Pp 6947-6955 (2022)
ABSTRACT: Dairy cattle must allocate energy to milk production and reproduction. Therefore, understanding the environmental factors that affect conception rates in nulliparous and primiparous cows is helpful in appropriate feeding management strategi
Externí odkaz:
https://doaj.org/article/0975bea6a4d94e48a78719a002b4b7d7
Autor:
Toshimi Baba, Sara Pegolo, Lucio F. M. Mota, Francisco Peñagaricano, Giovanni Bittante, Alessio Cecchinato, Gota Morota
Publikováno v:
Genetics Selection Evolution, Vol 53, Iss 1, Pp 1-14 (2021)
Abstract Background Over the past decade, Fourier transform infrared (FTIR) spectroscopy has been used to predict novel milk protein phenotypes. Genomic data might help predict these phenotypes when integrated with milk FTIR spectra. The objective of
Externí odkaz:
https://doaj.org/article/841a91d42b344662a64d134c7542969c
Publikováno v:
PLoS ONE, Vol 15, Iss 2, p e0228118 (2020)
Random regression models (RRM) are used extensively for genomic inference and prediction of time-valued traits in animal breeding, but only recently have been used in plant systems. High-throughput phenotyping (HTP) platforms provide a powerful means
Externí odkaz:
https://doaj.org/article/b35de27d46b04eff91ad76f1410edc71
Autor:
Lucio Flavio Macedo Mota, Sara Pegolo, Toshimi Baba, Gota Morota, Francisco Peñagaricano, Giovanni Bittante, Alessio Cecchinato
Publikováno v:
Animals, Vol 11, Iss 7, p 1993 (2021)
In general, Fourier-transform infrared (FTIR) predictions are developed using a single-breed population split into a training and a validation set. However, using populations formed of different breeds is an attractive way to design cross-validation
Externí odkaz:
https://doaj.org/article/e525c01cb2034bfbaaba9dd69baa374e
Publikováno v:
Nihon Chikusan Gakkaiho. 93:233-240
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0798f19fcba2c4e716f6683ccd0f7b9
https://doi.org/10.2508/chikusan.93.233
https://doi.org/10.2508/chikusan.93.233
Autor:
Yuri NAGASAKA, Yuka NAKAHORI, Hayato ABE, Satoshi NAKAGAWA, Satoshi YAMAGUCHI, Toshimi BABA, Junpei KAWAKAMI, Takeshi YAMAZAKI, Koichi HAGIYA
Publikováno v:
Nihon Chikusan Gakkaiho. 93:5-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e752f9a781f6053fdc6a394241ce5aa4
https://doi.org/10.2508/chikusan.93.5
https://doi.org/10.2508/chikusan.93.5
Autor:
Takayoshi KAWAHARA, Yusaku GOTOH, Toshimi BABA, Junpei KAWAKAMI, Taro OKA, Satoshi YAMAGUCHI, Hayato ABE
Publikováno v:
Nihon Chikusan Gakkaiho. 93:27-38
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a142d476fceaef0cda91084d4bc5fcbd
https://doi.org/10.2508/chikusan.93.27
https://doi.org/10.2508/chikusan.93.27
Autor:
Alessio Cecchinato, Francisco Peñagaricano, Toshimi Baba, Gota Morota, Giovanni Bittante, Sara Pegolo, Lúcio Flávio Macedo Mota
Publikováno v:
Journal of Dairy Science. 104:8107-8121
Fourier-transform infrared (FTIR) spectroscopy is a powerful high-throughput phenotyping tool for predicting traits that are expensive and difficult to measure in dairy cattle. Calibration equations are often developed using standard methods, such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a896ae6cc33a51c81421431011e7fb37
https://doi.org/10.3168/jds.2020-19861
https://doi.org/10.3168/jds.2020-19861