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Koyama Keisuke

Associate Professor

Osaka University

Japan

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Research Interests

Animal Science

50%

Cell Biology

20%

Ruminant Physiology

30%

Lactation Physiology

20%

Breeding

20%

Inflammatory Biology

20%

Animal Breeding

20%

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Articles7

The influence of corpus luteum and first‐wave dominant follicle location on conception rate after artificial insemination in Holstein cattle

Article Link

Year:

2024

Predicting nuclear maturation speed of oocytes from Japanese Black beef heifers through non-invasive observations during IVM: An attempt using machine learning algorithms

Article Link

Year:

2023

Parity affects the relationship between the insemination–ovulation interval and the conception rate in lactating dairy cows

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Year:

2023

Impaired placentomal interferon signaling as the possible cause of retained fetal membrane in parturition-induced cows

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Year:

2022

Technical note: Calving prediction in dairy cattle based on continuous measurements of ventral tail base skin temperature using supervised machine learning

Article Link

Year:

2020

Relationship between sire predicted transmitting ability for daughter pregnancy rate and daughter's reproductive performance and milk production in Japanese dairy herds.

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Year:

2020

Expression of C–C motif chemokines and their receptors in bovine placentomes at spontaneous and induced parturition

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Year:

2020

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