Rino Kagawa

Bayesian estimation of genetic parameters for superovulatory response traits in Japanese Black donor cows using count data models.

S. Ogawa, M. Urakawa, Atsushi Zoda, 2022, Theriogenology.

Comparing Methods to Select Candidates for Re-Genotyping to Impute Higher-Density Genotype Data in a Japanese Black Cattle Population: A Case Study

Atsushi Zoda, Rino Kagawa, Rui Obinata, 2023, Animals : an open access journal from MDPI.

Single-Step Genomic Prediction of Superovulatory Response Traits in Japanese Black Donor Cows

M. Urakawa, Atsushi Zoda, Rino Kagawa, 2023, Biology.

Genetic relationship between superovulatory response traits and carcass traits in Japanese Black cattle.

Y. Uemoto, M. Satoh, M. Urakawa, 2022, Animal science journal = Nihon chikusan Gakkaiho.