Details of the Researcher

PHOTO

Masayuki Takeda
Section
Graduate School of Agricultural Science
Job title
Assistant Professor
Degree
e-Rad No.
80775205

Research History 5

  • 2025/12 - Present
    Tohoku University

  • 2016/04 - 2025/11
    National Livestock Breeding Center, Incorporated Administrative Agency

  • 2014/04 - 2016/03
    National Livestock Breeding Center, Incorporated Administrative Agency

  • 2008/04 - 2014/03
    National Livestock Breeding Center, Incorporated Administrative Agency

  • 2011/09 - 2013/09
    青年海外協力隊（ベトナム）　家畜飼育

Education 3

  • 東北大学大学院　農学研究科　動物遺伝育種学

    2017/04 - 2020/03

  • 北海道大学大学院　農学研究院　家畜栄養学

    2006/04 - 2008/03

  • Hokkaido University　Faculty of Agriculture　Department of Animal Science

    2002/04 - 2006/03

Professional Memberships 3

  • 家畜育種研究会

  • ルーメン研究会

  • JAPANESE SOCIETY OF ANIMAL SCIENCE

Research Interests 5

  • ゲノミック評価

  • 肉用牛

  • ルーメン微生物

  • 飼料利用性

  • 動物遺伝育種学

Research Areas 1

  • Life sciences / Animal production science /

Awards 2

  1. 優秀畜産技術者表彰

    2026/06　畜産技術協会

  2. Best Oral Presenter

    2018/08　The 18th AAAP

Papers 16

  1. Analysis of Inbreeding, Population Structure, and Genetic Diversity in the Kumamoto Sub-Breed of Japanese Brown Cattle

    Tenghui Wang, Keiichi Inoue, Kasumi Ichinoseki, Masayuki Takeda, Yo Fukuzawa, Takatoshi Ozaki, Wei Peng, Guowen Wang, Takafumi Ishida

    Animals　2026/08/19

    DOI： 10.3390/ani16162587 　

  2. Prediction of Lactoferrin Concentrations in Mature Milk From Japanese Holstein Cows Using Milk Infrared Spectral Data and Its Practical Applicability

    Yugo Mineshima, Yuri Satake, Tao Zhuang, Toshimi Baba, Gaku Yoshida, Haruki Kitazawa, Hitoshi Shirakawa, Masayuki Takeda, Satoshi Haga, Hisashi Aso, Yoshinobu Uemoto

    Animal Science Journal　2026/01

    DOI： 10.1111/asj.70230 　

  3. Incorporating body measurement traits to increase genetic gain of feed efficiency and carcass traits in Japanese Black steers. International-journal Peer-reviewed

    Nodoka Kemmotsu, Masayuki Takeda, Atsushi Ogino, Toshio Watanabe, Kazuhito Kurogi, Masahiro Satoh, Yoshinobu Uemoto

    Journal of animal science　2024/06/29

    DOI： 10.1093/jas/skae176 　

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    The objective of the present study was to comprehensively evaluate whether body measurement traits, including BW and body size, could be used as indicators of genetic selection for feed efficiency and carcass traits in Japanese Black steers. First, we estimated the genetic parameters for body measurements, feed efficiency, and carcass traits. Second, we estimated the correlated responses in feed efficiency and carcass traits when selection was applied to one or multiple body measurement traits. In total, 4,578 Japanese Black steers with phenotypic values of residual feed intake (RFI) and residual BW gain (RG) as feed efficiency traits and carcass weight (CWT) and beef marbling standard (BMS) as carcass traits were used. Eleven body measurement traits were measured at the start and finish of the fattening periods (BMT1 and BMT2, respectively), and their growth during the fattening period (BMT3) was used for genetic analyses. The results of genetic parameters showed that the heritability estimates were low to moderate (0.10-0.66), and the genetic correlations among body measurement traits were also estimated to be positively moderate to high in each measuring point (0.23-0.99). The genetic correlations of body measurement traits with RFI and BMS were estimated to be low (-0.14-0.30 and -0.17-0.35, respectively), but those with CWT were positively low to high (0.12-0.97). The genetic correlation estimates between BMT3 and RG were moderate to high (0.38-0.78). Second, correlated responses were estimated under positive selection for body measurement traits. Positive selection for BMT2 and BMT3 increased CWT and RG; however, positive selection for body measurement traits resulted in no change in RFI and BMS. Favorable directions of genetic gains, which were positive for RG, CWT, and BMS and negative for RFI, were obtained by selection indices, including multiple traits in BMT1. Our results suggest that using only one body measurement trait as an indicator of genetic selection for RFI is difficult. However, body measurement traits can be indirect indicators of improved RG. Our results also suggest that genetic improvement of both RFI and RG without reducing CWT and BMS could be achieved using selection indices that account for a balance of body conformation using multiple body measurement traits in Japanese Black cattle.

  4. Application of linear and machine learning models to genomic prediction of fatty acid composition in Japanese Black cattle International-journal Peer-reviewed

    Motohide Nishio, Keiichi Inoue, Aisaku Arakawa, Kasumi Ichinoseki, Eiji Kobayashi, Toshihiro Okamura, Yo Fukuzawa, Shinichiro Ogawa, Masaaki Taniguchi, Mika Oe, Masayuki Takeda, Takehiro Kamata, Masaru Konno, Michihiro Takagi, Mario Sekiya, Tamotsu Matsuzawa, Yoshinobu Inoue, Akihiro Watanabe, Hiroshi Kobayashi, Eri Shibata, Akihumi Ohtani, Ryu Yazaki, Ryotaro Nakashima, Kazuo Ishii

    Animal Science Journal　94　(1)　2023/11/01

    Publisher: Wiley

    DOI： 10.1111/asj.13883 　

    ISSN： 1344-3941

    eISSN： 1740-0929

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    Abstract We collected 3180 records of oleic acid (C18:1) and monounsaturated fatty acid (MUFA) measured using gas chromatography (GC) and 6960 records of C18:1 and MUFA measured using near‐infrared spectroscopy (NIRS) in intermuscular fat samples of Japanese Black cattle. We compared genomic prediction performance for four linear models (genomic best linear unbiased prediction [GBLUP], kinship‐adjusted multiple loci [KAML], BayesC, and BayesLASSO) and five machine learning models (Gaussian kernel [GK], deep kernel [DK], random forest [RF], extreme gradient boost [XGB], and convolutional neural network [CNN]). For GC‐based C18:1 and MUFA, KAML showed the highest accuracies, followed by BayesC, XGB, DK, GK, and BayesLASSO, with more than 6% gain of accuracy by KAML over GBLUP. Meanwhile, DK had the highest prediction accuracy for NIRS‐based C18:1 and MUFA, but the difference in accuracies between DK and KAML was slight. For all traits, accuracies of RF and CNN were lower than those of GBLUP. The KAML extends GBLUP methods, of which marker effects are weighted, and involves only additive genetic effects; whereas machine learning methods capture non‐additive genetic effects. Thus, KAML is the most suitable method for breeding of fatty acid composition in Japanese Black cattle. 黒毛和牛の筋肉間脂肪サンプルにおいて、ガスクロマトグラフィー（GC）を用いて測定したオレイン酸（C18:1）と一価不飽和脂肪酸（MUFA）の記録3180件と、近赤外分光法（NIRS）を用いて測定したC18:1とMUFAの記録6960件を収集した。4つの線形モデル（genomic best linear unbiased prediction [GBLUP]、kinship-adjusted multiple loci [KAML]、BayesC、BayesLASSO）と5つの機械学習モデル（Gaussian kernel [GK]、deep kernel [DK]、random forest [RF]、extreme gradient boost [XGB]、convolutional neural network [CNN]）のゲノム予測性能を比較した。GCベースのC18:1とMUFAについては、KAMLが最も高い精度を示し、BayesC、XGB、DK、GK、BayesLASSOと続いた。一方、DKはNIRSベースのC18:1とMUFAの予測精度が最も高かったが、DKとKAMLの精度差はわずかであった。すべての形質について、RFとCNNの予測精度はGBLUPよりも低かった。KAMLはGBLUP法を拡張したもので、マーカー効果を重み付けし、加法的遺伝効果のみを含む。したがって、KAMLは黒毛和牛の脂肪酸組成の育種に最も適した方法である。 www.DeepL.com/Translator（無料版）で翻訳しました。

  5. Effect of rumen microbiota transfaunation on the growth, rumen fermentation, and microbial community of early separated Japanese Black cattle International-journal Peer-reviewed

    Shuhei Takizawa, Takumi Shinkai, Kunihiko Saito, Natsuko Fukumoto, Yukari Arai, Tomokazu Hirai, Masaharu Maruyama, Masayuki Takeda

    Animal Science Journal　94　(1)　e13876　2023/10/11

    Publisher: Wiley

    DOI： 10.1111/asj.13876 　

    ISSN： 1344-3941

    eISSN： 1740-0929

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    This study aimed to investigate the effect of rumen microbiota transfaunation on the growth, rumen fermentation, and the microbial community of Japanese Black cattle that were separated early from their dams. Here, 24 calves were separated from their dams immediately after calving, 12 of which were transfaunated via inoculation with rumen fluid from adult cattle at the age of 2 months while the remaining 12 were kept unfaunated (not-inoculated). Feed efficiency monitoring was performed during 7–10 months of age. Body weight and feed intake were not significantly different between the transfaunated and unfaunated cattle. Transfaunation increased the relative levels of acetate and butyrate but decreased those of propionate, which increased the non-glucogenic/glucogenic short-chain fatty acid ratio. Microbial 16S, 18S, and ITS ribosomal RNA gene amplicon analysis showed that rumen microbial diversity and composition differed between transfaunated and unfaunated cattle; transfaunation increased the abundance of acetate- and butyrate-producing bacteria, and decreased the abundance of bacterial genera associated with propionate production. Transfaunation also increased the abundance of Methanomassiliicoccaceae_group10 (1.94% vs. 0.05%) and Neocallimastix (27.1% vs. 6.8%) but decreased that of Methanomicrobium (<0.01% vs. 0.06%). Our findings indicate that rumen microbiota transfaunation shifts rumen fermentation toward acetate and butyrate production through a change in the rumen microbial composition in Japanese Black cattle. 本研究の目的は、早期離乳した黒毛和牛の成長、ルーメン発酵、および微生物群集に及ぼすルーメン微生物群のトランスフューニングの影響を調査することである。ここでは、24頭の子牛を分娩後すぐにダムから分離し、そのうちの12頭には成牛のルーメン液を2ヶ月齢で接種することでトランスフューニングを行い、残りの12頭にはトランスフューニングを行わなかった（接種しなかった）。生後 7～10 ヶ月間に飼料効率のモニタリングを行った。体重と飼料摂取量は、トランスファウンテーションを行った牛と行っていない牛の間で有意差はなかった。トランスフューニングにより、酢酸および酪酸の相対レベルは上昇したが、プロピオン酸の相対レベルは低下し、非糖原性／糖原性短鎖脂肪酸比が上昇した。微生物 16S、18S、および ITS リボソーム RNA 遺伝子アンプリコン分析により、ルーメン微生物の多様性と組成がトランスフ ァウニングを行った牛と行っていない牛で異なることが示された。トランスファウニングを行うと、酢酸および酪酸産生菌の 存在量が増加し、プロピオン酸産生に関連する細菌属の存在量が減少した。また、トランスフューニングにより、Methanomassiliicoccaceae_group10（1.94%対0.05%）およびNeocallimastix（27.1%対6.8%）の存在量が増加したが、Methanomicrobium（0.01%未満対0.06%）の存在量は減少した。この結果は、黒毛和牛のルーメン微生物組成の変化によって、ルーメン発酵が酢酸および酪酸産生へとシフトすることを示している。 www.DeepL.com/Translator（無料版）で翻訳しました。

  6. Evaluating the performance of BLUP and genomic prediction accounting for effects of SNP markers in reproductive traits of Japanese Black cattle International-journal Peer-reviewed

    Motohide Nishio, Aisaku Arakawa, Keiichi Inoue, Kasumi Ichinoseki, Eiji Kobayashi, Toshihiro Okamura, Yo Fukuzawa, Shinichiro Ogawa, Masaaki Taniguchi, Mika Oe, Masayuki Takeda, Kazuo Ishii

    Animal Science Journal　94　e13850　2023/07/13

    DOI： 10.1111/asj.13850 　

  7. Application of MinION Amplicon Sequencing to Buccal Swab Samples for Improving Resolution and Throughput of Rumen Microbiota Analysis International-journal Peer-reviewed

    Hiroto Miura, Masayuki Takeda, Megumi Yamaguchi, Yoshihisa Ohtani, Go Endo, Yasuhisa Masuda, Kaede Ito, Yoshio Nagura, Kunihiro Iwashita, Tomohiro Mitani, Yutaka Suzuki, Yasuo Kobayashi, Satoshi Koike

    Frontiers in Microbiology　13　783058-783058　2022/03/24

    Publisher: Frontiers Media SA

    DOI： 10.3389/fmicb.2022.783058 　

    eISSN： 1664-302X

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    The Illumina MiSeq platform has been widely used as a standard method for studying the rumen microbiota. However, the low resolution of taxonomic identification is the only disadvantage of MiSeq amplicon sequencing, as it targets a part of the 16S rRNA gene. In the present study, we performed three experiments to establish a high-resolution and high-throughput rumen microbial profiling approach using a combination of MinION platform and buccal swab sample, which is a proxy for rumen contents. In experiment 1, rumen contents and buccal swab samples were collected simultaneously from cannulated cattle (n = 6) and used for microbiota analysis using three different analytical workflows: amplicon sequencing of the V3–V4 region of the 16S rRNA gene using MiSeq and amplicon sequencing of near full-length 16S rRNA gene using MinION or PacBio Sequel II. All reads derived from the MinION and PacBio platforms were classified at the species-level. In experiment 2, rumen fluid samples were collected from beef cattle (n = 28) and used for 16S rRNA gene amplicon sequencing using the MinION platform to evaluate this sequencing platform for rumen microbiota analysis. We confirmed that the MinION platform allowed species-level taxa assignment for the predominant bacterial groups, which were previously identified at the family- and genus-level using the MiSeq platform. In experiment 3, buccal swab samples were collected from beef cattle (n = 30) and used for 16S rRNA gene amplicon sequencing using the MinION platform to validate the applicability of a combination of the MinION platform and buccal swab samples for rumen microbiota analysis. The distribution of predominant bacterial taxa in the buccal swab samples was similar to that in the rumen samples observed in experiment 2. Based on these results, we concluded that the combination of the MinION platform and buccal swab samples may be potentially applied for rumen microbial analysis in large-scale studies.

  8. Exploring the size of reference population for expected accuracy of genomic prediction using simulated and real data in Japanese Black cattle International-journal Peer-reviewed

    Masayuki Takeda, Keiichi Inoue, Hidemi Oyama, Katsuo Uchiyama, Kanako Yoshinari, Nanae Sasago, Takatoshi Kojima, Masashi Kashima, Hiromi Suzuki, Takehiro Kamata, Masahiro Kumagai, Wataru Takasugi, Tatsuya Aonuma, Yuusuke Soma, Sachi Konno, Takaaki Saito, Mana Ishida, Eiji Muraki, Yoshinobu Inoue, Megumi Takayama, Shota Nariai, Ryoya Hideshima, Ryoichi Nakamura, Sayuri Nishikawa, Hiroshi Kobayashi, Eri Shibata, Koji Yamamoto, Kenichi Yoshimura, Hironori Matsuda, Tetsuro Inoue, Atsumi Fujita, Shohei Terayama, Kazuya Inoue, Sayuri Morita, Ryotaro Nakashima, Ryohei Suezawa, Takeshi Hanamure, Atsushi Zoda, Yoshinobu Uemoto

    BMC Genomics　22　(1)　1-11　2021/11

    DOI： 10.1186/s12864-021-08121-z 　

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    Background:Size of reference population is a crucial factor affecting the accuracy of prediction of the genomicestimated breeding value (GEBV). There are few studies in beef cattle that have compared accuracies achievedusing real data to that achieved with simulated data and deterministic predictions. Thus, extent to which traits ofinterest affect accuracy of genomic prediction in Japanese Black cattle remains obscure. This study aimed toexplore the size of reference population for expected accuracy of genomic prediction for simulated and carcasstraits in Japanese Black cattle using a large amount of samples.Results:A simulation analysis showed that heritability and size of reference population substantially impacted theaccuracy of GEBV, whereas the number of quantitative trait loci did not. The estimated numbers of independentchromosome segments (Me) and the related weighting factor (w) derived from simulation results and a maximumlikelihood (ML) approach were 1900–3900 and 1, respectively. The expected accuracy for trait with heritability of0.1–0.5 fitted well with empirical values when the reference population comprised > 5000 animals. The heritabilityfor carcass traits was estimated to be 0.29–0.41 and the accuracy of GEBVs was relatively consistent with simulationresults. When the reference population comprised 7000–11,000 animals, the accuracy of GEBV for carcass traits canrange 0.73–0.79, which is comparable to estimated breeding value obtained in the progeny test.Conclusion:Our simulation analysis demonstrated that the expected accuracy of GEBV for a polygenic trait withlow-to-moderate heritability could be practical in Japanese Black cattle population. For carcass traits, a total of7000–11,000 animals can be a sufficient size of reference population for genomic prediction.

  9. Effect of genotyped bulls with different numbers of phenotyped progenies on quantitative trait loci detection and genomic evaluation in a simulated cattle population Peer-reviewed

    Masayuki Takeda, Yoshinobu Uemoto, Masahiro Satoh

    Animal Science Journal　91　(1)　2020/08

    DOI： 10.1111/asj.13432 　

    ISSN： 1344-3941

    eISSN： 1740-0929

  10. Genome‐wide association study and genomic evaluation of feed efficiency traits in Japanese Black cattle using single‐step genomic best linear unbiased prediction method Peer-reviewed

    Takeda M, Uemoto Y, Inoue K, Ogino A, Nozaki T, Kurogi K, Yasumori T, Satoh M

    Animal Science Journal　91　(1)　2020/01/07

    DOI： 10.1111/asj.13316 　

    ISSN： 1344-3941

    eISSN： 1740-0929

  11. Genetic and genomic analyses for predicted methane‐related traits in Japanese Black steers Peer-reviewed

    Yoshinobu Uemoto, Masayuki Takeda, Atushi Ogino, Kazuhito Kurogi, Shinichro Ogawa, Masahiro Satoh, Fuminori Terada

    Animal Science Journal　91　(1)　2020/01

    Publisher: Wiley

    DOI： 10.1111/asj.13383 　

    ISSN： 1344-3941

    eISSN： 1740-0929

  12. Genotypes and allele frequencies of buried SNPs in a bovine single-nucleotide polymorphism array in Japanese Black cattle. International-journal Peer-reviewed

    Shinji Sasaki, Eiji Muraki, Yoshinobu Inoue, Ryouhei Suezawa, Hideki Nikadori, Yuuichi Yoshida, Shouta Nariai, Ryoya Hideshima, Shiyunsuke Moriwaki, Ryotaro Nakashima, Katsuo Uchiyama, Kanako Yoshinari, Masayuki Takeda, Takatoshi Kojima

    Animal science journal = Nihon chikusan Gakkaiho　90　(12)　1503-1509　2019/12

    DOI： 10.1111/asj.13293 　

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    Single nucleotide polymorphism (SNP) arrays are widely used for genetic and genomic analyses in cattle breeding; thus, data derived from SNP arrays have accumulated on a large scale nationwide. Commercial SNP arrays contain a considerable number of unassigned SNPs on the chromosome/position on the genome; these SNPs are excluded in subsequent analyses. Notably, the position-unassigned SNPs, or "buried SNPs" include some of the markers associated with genetic disease. In this study, we identified the position of buried SNPs using the Basic Local Alignment Search Tool against the surrounding sequences and characterized the relationship between SNPs and genetic diseases in Online Mendelian Inheritance in Animals based on the genomic position. We determined the position of 285 buried SNPs on the genome and surveyed the genotype and allele frequencies of these SNPs in 5,955 individual Japanese Black cattle. Eleven SNPs associated with genetic disease, which contained five buried SNPs, were found in the population with the risk allele frequency ranging from 0.00008396 to 0.46. These results indicate that buried SNPs in the bovine SNP array can be utilized to identify associations with genetic disorders from large scale accumulated SNP genotype data in Japanese Black cattle.

  13. Relationship between call rate per individual and genotyping accuracy of bovine single‐nucleotide polymorphism array using deoxyribonucleic acid of various qualities Peer-reviewed

    Sasaki, S, Yoshinari, K, Uchiyama, K, Takeda, M, Kojima, T

    Animal Science Journal　89　(11)　1533-1539　2018/09

  14. Genome-wide association studies identified variants for taurine concentration in Japanese Black beef. International-journal Peer-reviewed

    Nanae Sasago, Masayuki Takeda, Tsuyoshi Ohtake, Tsuyoshi Abe, Hironori Sakuma, Takatoshi Kojima, Shinji Sasaki, Yoshinobu Uemoto

    Animal science journal = Nihon chikusan Gakkaiho　89　(8)　1051-1059　2018/08

    DOI： 10.1111/asj.13030 　

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    We performed genome-wide association studies (GWAS) using the BovineSNP50 array to detect significant single nucleotide polymorphisms (SNPs) that may affect the concentration of 22 free amino acids and three peptides in Japanese Black beef cattle. A total of 574 Japanese Black cattle and 40,657 SNPs from the array were used for this study. Genome-wide significant SNPs were detected for β-alanine (three SNPs on chromosomes 22 and 29) and taurine (26 SNPs on chromosome 22). Importantly, the top two SNPs for taurine were highly significant (p = 6.2 × 10-21 ), and the frequency of the increase-concentration allele (Q) for taurine was found to be 0.73. The Q allele frequency of this population was similar to that of the other unrelated Japanese Black cattle, but different from that of the other breeds. In addition, the significant SNPs were not associated with carcass traits or fatty acid compositions. Interestingly, the top three of the four most significant SNPs for taurine were located near solute carrier family 6, member 6 (SLC6A6), which is a membrane transporter for taurine. We also found two associated variants in the 5'-upstream region of SLC6A6; however, they were less significantly associated than the SNPs from the BovineSNP50 array.

  15. Evaluation of feed efficiency traits for genetic improvement in Japanese Black cattle Peer-reviewed

    Takeda M, Uemoto Y, Inoue K, Ogino A, Nozaki T, Kurogi K, Yasumori T, Satoh M

    Journal of Animal Science　96　(3)　797-805　2018/04

  16. Effect of two non-synonymous ecto-5 '-nucleotidase variants on the genetic architecture of inosine 5 '-monophosphate (IMP) and its degradation products in Japanese Black beef Peer-reviewed

    Yoshinobu Uemoto, Tsuyoshi Ohtake, Nanae Sasago, Masayuki Takeda, Tsuyoshi Abe, Hironori Sakuma, Takatoshi Kojima, Shinji Sasaki

    BMC GENOMICS　18　(1)　874　2017/11

    DOI： 10.1186/s12864-017-4275-4 　

    ISSN： 1471-2164

Show all ︎Show first 5

Misc. 13

  1. 染色体ベースのゲノム育種価を用いた黒毛和種の枝肉形質の解析

    広岡博之, 井上慶一, 西尾元秀, 竹田将悠規, 井上喜信

    肉用牛研究会報　(116)　2024

    ISSN： 0386-8419

  2. 黒毛和種の枝肉形質に関する染色体レベルでの遺伝伝達様式の検討

    廣岡博之, 井上慶一, 西尾元秀, 竹田将悠規, 井上喜信

    日本畜産学会大会講演要旨　131st　2023

    ISSN： 1342-4688

  3. 黒毛和種の枝肉形質におけるSNPの効果を考慮したゲノミック評価法の推定精度

    西尾元秀, 井上慶一, 広岡博之, 井上喜信, 竹田将悠規, 岡村俊宏, 福澤陽生, 小川伸一郎, 小林栄治, 石井和雄

    日本畜産学会大会講演要旨　130th　2022

    ISSN： 1342-4688

  4. 黒毛和種の染色体レベルでの脂肪交雑と皮下脂肪厚の遺伝的関係性

    廣岡博之, 井上慶一, 西尾元秀, 竹田将悠規, 井上喜信

    日本畜産学会大会講演要旨　130th　2022

    ISSN： 1342-4688

  5. システム論的視点から見たゲノム育種法の検討-黒毛和種の枝肉重量と脂肪交雑の分析を例に-

    広岡博之, 井上慶一, 西尾元秀, 竹田将悠規, 井上喜信

    システム農学会大会講演要旨集(CD-ROM)　2022　2022

  6. 黒毛和種の枝肉重量に関与する主働遺伝子の遺伝的効果

    広岡博之, 井上慶一, 西尾元秀, 竹田将悠規, 井上喜信

    日本畜産学会大会講演要旨　129th　2021

    ISSN： 1342-4688

  7. 黒毛和種の枝肉形質における非相加的遺伝効果の推定

    井上慶一, 西尾元秀, 井上喜信, 竹田将悠規, 内山勝雄, 広岡博之

    日本畜産学会大会講演要旨　129th　2021

    ISSN： 1342-4688

  8. Investigation of sire lines and genetic transmission modes on carcass traits and a fatty acid trait in Japanese Black cattle using genomic information

    広岡博之, 井上慶一, 竹田将悠規, 井上喜信

    食肉に関する助成研究調査成果報告書　39　2021

  9. 黒毛和種における飼料利用性の遺伝育種学的研究とこれから Invited

    竹田将悠規

    畜産技術　(800)　27-32　2021/01

  10. 黒毛和種における未使用SNPアレイデータの活用

    佐々木慎二, 村木英二, 井上喜信, 末澤遼平, 荷川取秀樹, 吉田裕一, 成相翔太, 秀島遼哉, 森脇俊輔, 中島亮太朗, 内山勝雄, 吉成加奈子, 竹田将悠規, 小島孝敏

    日本畜産学会大会講演要旨　126th　2019

    ISSN： 1342-4688

  11. 飼料利用性の遺伝的改良について

    竹田将悠規

    肉牛ジャーナル　2018/08

  12. 独立行政法人家畜改良センター〔その1〕家畜および家禽の遺伝的改良に向けて Invited

    竹田将悠規

    畜産技術　(752)　28-29　2018/01

  13. ベトナム少数民族地域における畜産技術開発 Invited

    竹田将悠規

    畜産の研究　68　(12)　1229-1235　2014/12

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Presentations 20

  1. 肉用牛の飼料利用性改良をめぐる研究動向と今後の展開 Invited

    竹田将悠規

    日本畜産学会第134回大会 公開シンポジウム　2026/09/17

  2. 黒毛和種肥育牛における余剰飼料摂取量および余剰増体量の有効利用方法の探索

    竹田将悠規, 上本吉伸, 西尾元秀, 一関可純, 稲葉泰志, 横山百合菜, 石井 和雄

    日本畜産学会第133回大会　2025/09/14

  3. Genetic parameters of feed efficiency, predicted methane-related, and carcass traits during fattening period in Japanese Black cattle International-presentation

    Takeda,M., Homma, F., Ichinoseki, K., Takei, N., Matsuda, H., Fujiwara, S., Hashiba, J., Kojima, T.

    75 th EAAP Annual Meeting　2024/09/02

  4. 20か月間肥育における黒毛和種の飼料利用性とメタン関連形質の遺伝的パラメータ

    竹田将悠規, 本間文佳, 一関可純, 武井直樹, 松田秀雄, 藤原信一, 橋場純子, 小島孝敏

    日本畜産学会第131回大会　2023/09/20

  5. SNP情報を用いた熊本系褐毛和種の系統分類の試み

    井上慶一, 竹田将悠規, 山本道夫, 齋藤公治, 藤原信一, 河村正

    日本畜産学会第130回大会　2022/09/16

  6. 黒毛和種の染色体レベルでの脂肪交雑と皮下脂肪厚の遺伝的関係性

    廣岡博之, 井上慶一, 西尾元秀, 竹田将悠規, 井上喜信

    日本畜産学会第130回大会　2022/09/16

  7. 黒毛和種の枝肉形質におけるSNPの効果を考慮したゲノミック評価法の推定精度

    西尾元秀, 井上慶一, 広岡博之, 井上喜信, 竹田将悠規, 岡村俊宏, 福澤陽生, 小川伸一郎, 小林栄治, 石井和雄

    日本畜産学会第130回大会　2022/09/16

  8. 黒毛和種牛の飼料効率とリンクするルーメン細菌群の探索

    三浦広卓, 竹田将悠規, 遠藤剛, 増田恭久, 伊藤楓, 名倉義夫, 鈴木裕, 小林泰男, 小池聡

    日本畜産学会第130回大会　2022/09/15

  9. Genomic prediction with non-additive genetic effects for carcass weight and beef marbling in Japanese Black cattle

    Inoue, K, Nishio, M, Inoue, Y, Takeda, M, Hirooka, H

    The 12th World Congress on Genetics Applied to Livestock Production　2022/07/07

  10. 黒毛和種の枝肉重量に関与する主導遺伝子の遺伝的効果

    廣岡博之, 井上慶一, 西尾元秀, 竹田将悠規, 井上喜信

    日本畜産学会第129回大会　2021/09/15

  11. 黒毛和種の枝肉形質における非相加的遺伝効果の推定

    井上慶一, 西尾元秀, 井上喜信, 小江敏明, 西村雅美, 竹田将悠規, 内山勝雄, 広岡博之

    日本畜産学会第129回大会　2021/09/15

  12. 枝肉重量QTL遺伝子型と肥育期間中の食いどまりの関連性

    阿部剛, 金田修一, 竹田将悠規, 小島孝敏, 橋場健治

    東北畜産学会第70回福島大会　2021/09/06

  13. 黒毛和種における食味関連遺伝子と牛肉中理化学分析値および枝肉形質との関連調査

    笹子奈々恵, 竹田将悠規, 内山勝雄, 尾花尚明, 井上慶一, 小島孝敏

    日本畜産学会第128回大会　2021/03/28

  14. Simulation study on the power of QTL detection and genomic prediction accuracy using small effective population sizes International-presentation

    M.Takeda, Y.Uemoto, M.Satoh

    Simulation study on the power of QTL detection and genomic prediction accuracy using small effective population sizes　2019/07/07

  15. 黒毛和種肥育牛のレジリエンス形質における遺伝的パラメーターの推定

    竹田将悠規, 上本吉伸, 荻野敦, 野崎隆義, 黒木一仁, 安森隆則, 佐藤正寛

    日本畜産学会第125回大会　2019/03/29

  16. 黒毛和種におけるメタン関連形質に関する遺伝的パラメーターの推定

    上本吉伸, 竹田将悠規, 荻野敦, 野崎隆義, 黒木一仁, 安森隆則, 小川伸一郎, 佐藤正寛, 寺田文典

    日本畜産学会第125回大会　2019/03/29

  17. Accuracy of genomic prediction for feed efficiency traits in Japanese Black cattle International-presentation

    The 18th Asian Australasian Animal Production Congress　2018/08/01

  18. 黒毛和種における飼料利用性形質と成長曲線パラメーターとの遺伝的関連性

    竹田将悠規, 上本吉伸, 井上慶一, 荻野敦, 野崎隆義, 黒木一仁, 安森隆則, 佐藤正寛

    日本畜産学会第124回大会　2018/03

  19. Comparison of SNPs associated with residual feed intake during different fattening periods in Japanese Black cattle International-presentation

    The 11th World Congress on Genetic Applied to Livestock Production　2018/02

  20. 黒毛和種の飼料利用性、増体性および枝肉形質間の遺伝的関連性

    竹田将悠規, 井上慶一, 荻野敦, 野崎隆義, 黒木一仁, 安森隆則, 上本吉伸

    日本畜産学会第122回大会　2017/03

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Research Projects 4

  1. ゲノム情報による非相加的遺伝効果と近交を考慮した和牛の産肉成績予測手法の開発

    井上 慶一, 西尾 元秀, 廣岡 博之, 竹田 将悠規

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業

    Category: 基盤研究(C)

    Institution: 宮崎大学

    2024/04/01 - 2027/03/31

  2. 機械学習を利用したゲノム情報による黒毛和種の遺伝的能力評価法の開発

    西尾 元秀, 井上 慶一, 廣岡 博之, 竹田 将悠規

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業

    Category: 基盤研究(C)

    Institution: 国立研究開発法人農業・食品産業技術総合研究機構

    2022/04/01 - 2025/03/31

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    機械学習を利用したゲノム情報による新たな遺伝的能力評価の手法として、ベイズ法、カーネル法、ブースティング法、畳み込みニューラルネットワーク法およびkinship-adjusted-multiple-loci（KAML）法の５つの手法を開発した。これらの手法を利用することによって従来の統計育種学種法では定式化できなかった非相加的遺伝効果等の複雑な遺伝効果を含んだ遺伝的能力を算出することが可能になり、これまで以上に遺伝的能力の評価精度が向上することから家畜の改良速度が向上すると期待できる。まず、本年度はコンピューターシミュレーションによって発生させた2,000頭規模の疑似的なウシ集団データを対象に、開発した５つの手法を用いて遺伝的能力を評価した。開発した手法によって得られた遺伝的能力評価値と観測値との相関係数から遺伝的能力の評価精度を算出した結果、ベイズ法やKAML法では従来法よりも最大で10％程度遺伝的能力の評価精度が向上することが明らかになった。今後、黒毛和種の実データで検証するために、本年度は家畜改良センターおよび鳥取県畜産試験場の黒毛和種肥育牛96頭について枝肉形質の記録を収集するとともに、GGP BovineLD-24v4.0（イルミナ社製）で30,105か所の一塩基多型解析を実施してゲノム情報を蓄積した。これまで収集してきたデータと併せて約3,900頭のデータを蓄積することに成功し、開発した遺伝的能力評価法の精度を詳細に検証するためのデータ整備が整いつつある。

  3. ゲノム情報による黒毛和種の産肉性に関する非相加的遺伝様式の解明と育種改良への応用

    廣岡 博之, 西尾 元秀, 井上 慶一, 竹田 将悠規

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業

    Category: 基盤研究(C)

    Institution: 京都大学

    2021/04/01 - 2025/03/31

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    これまでと同様に鳥取県および家畜改良センターで肥育された黒毛和種肥育牛1,908頭の枝肉成績とSNP情報およびその父母のSNP情報から染色体別にゲノム関係行列を構築し、ベイズ推定を実施して、染色体ごとのゲノム育種価を推定した。本年度は肥育牛のゲノム育種価に対するその父と母のゲノム育種価の標準偏回帰係数を父と母それぞれの遺伝的影響度（合計で1.0）として表した。 父と母で遺伝的影響度の相違があり、遺伝的影響度の最も大きかった染色体は、枝肉重量で父0.559(BTA2)、母0.561(BTA9)、BMSで父0.560(BTA9）、母0.559(BTA15)、皮下脂肪厚で父0.563(BTA2)、母0.548(BTA14)、ロース芯面積で父0.551(BTA23)、母0.553(BTA5)、バラ厚で父0.533(BTA14)、母0.575(BTA28)であった。以上から、父母の遺伝伝達様式には大きな偏りは認められず、また小さな偏りであっても形質や染色体ごとで特定の法則のないことが示唆された。しかしその一方で、父母の遺伝伝達様式とその影響が母方祖父によって異なることが示唆された。 さらに前年度に実施した分析において、西洋品種においては脂肪交雑と皮下脂肪厚の間に性の遺伝相関が認められるのに対して黒毛和種においては遺伝相関がほとんどないことを示し、その関係性が染色体ごとに異なることを示したが、ブタにおいても西洋豚では筋肉内脂肪と背脂肪の間には正の遺伝相関があるのに対して、中国豚では遺伝相関が認められないことを明らかにし、このような関係性はアジアの品種の特徴である可能性を示唆した。

  4. Exploration of microbial marker for prediction of metabolic disorder in ruminants

    Koike Satoshi, TAKEDA Masayuki

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research

    Category: Grant-in-Aid for Challenging Research (Exploratory)

    Institution: Hokkaido University

    2017/06 - 2019/03

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    Rumen microbes play a pivotal role in cattle productivity. The aim of this study was to identify the microbe(s) showing positive correlation with host productivity as a biomarker for prediction of productivity. As the first step, buccal swab as a proxy of rumen digesta was validated. This alternative sample enable to avoid laborious and time consuming sample collection by using stomach tube. Then, buccal swab samples were collected from Japanese Black cattle and employed for microbial analyses. Population size of Prevotella spp. seemed to have a positive correlation with the body weight of Japanese Black cattle . Therefore, Prevollta spp. can be used as a biomarker for prediction of body weight gain in the future.

Teaching Experience 3

  1. 家畜育種概論（動物生命科学オムニバス）　東北大学

  2. 学生実験（動物遺伝育種学）　東北大学

  3. 現代の農と農学　東北大学