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Affiliation |
Faculty of Agriculture Department of Animal and Grassland Sciences |
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Title |
Professor |
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Contact information |
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INOUE Keichi
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Degree 【 display / non-display 】
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博士（農学） ( 2016.3 神戸大学 )
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修士（農学） ( 1997.3 東北大学 )
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学士（農学） ( 1995.3 帯広畜産大学 )
Professional Memberships 【 display / non-display 】
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日本暖地畜産学会
2023.4
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畜産システム研究会
2022.4
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肉用牛研究会
2000.4
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日本畜産学会
1996.3
Papers 【 display / non-display 】
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Relationships between feed efficiency, growth and carcass traits in Japanese Black cattle Reviewed
ASADA Masatsugu, INOUE Keiichi, MASUDA Yasuhisa, NAGURA Yoshio, FUJIHARA Shinichi, KIKUCHI Takumi
Nihon Chikusan Gakkaiho 94 ( 3 ) 283 - 293 2023.8
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japanese Society of Animal Science
The objectives of this study were to investigate the efficiency of measuring individual feed intake and to clarify the relationships between residual feed intake (RFI) and economic traits of fattening cattle in the field progeny test. The feed intake, body weight and carcass traits were obtained for the total of 480 Japanese Black steers (240) and heifers (240), and their RFI were calculated by their feed intake and body weight. Fattening period was separated early and late, and correlations between the periods and the whole fattening period were calculated to investigate their relationships. To clarify the relationships between RFI and economic traits, the RFI was divided into four quartiles and means of the traits were compared among the RFI quartile groups. In the correlations for RFI of each diet among fattening period, there were strong correlations between the late and whole fattening periods on concentrate and total feed intakes. This suggested that the RFI of the animals for the whole fattening period could estimate by the RFI based on concentrate feed intake in the late period. The daily TDN intake during the fattening period in the first (best) RFI group was 12% lower than that in the fourth (worst) RFI group. In steers, mean RFI in the first group was -0.921 kg/day which was 1.8 kg/day lesser than that in the fourth group, implying that animals with superior RFI can reduce the production cost for farmers. Means of growth and carcass traits in the first group were similar to the fourth group. These results suggest that feed intake in the field progeny test can measure efficiently and selection for the RFI from the test can reduce feed intake and improve productivity without affecting growth and carcass traits.
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Nishio M., Inoue K., Ogawa S., Ichinoseki K., Arakawa A., Fukuzawa Y., Okamura T., Kobayashi E., Taniguchi M., Oe M., Ishii K.
BMC Genomics 24 ( 1 ) 376 2023.7
Language：English Publishing type：Research paper (scientific journal) Publisher：BMC Genomics
Background: Pedigree-based inbreeding coefficients have been generally included in statistical models for genetic evaluation of Japanese Black cattle. The use of genomic data is expected to provide precise assessment of inbreeding level and depression. Recently, many measures have been used for genome-based inbreeding coefficients; however, with no consensus on which is the most appropriate. Therefore, we compared the pedigree- (FPED) and multiple genome-based inbreeding coefficients, which were calculated from the genomic relationship matrix with observed allele frequencies (FGRM), correlation between uniting gametes (FUNI), the observed vs expected number of homozygous genotypes (FHOM), runs of homozygosity (ROH) segments (FROH) and heterozygosity by descent segments (FHBD). We quantified inbreeding depression from estimating regression coefficients of inbreeding coefficients on three reproductive traits: age at first calving (AFC), calving difficulty (CD) and gestation length (GL) in Japanese Black cattle. Results: The highest correlations with FPED were for FROH (0.86) and FHBD (0.85) whereas FGRM and FUNI provided weak correlations with FPED , with range 0.33–0.55. Except for FGRM and FUNI , there were strong correlations among genome-based inbreeding coefficients (≥ 0.94). The estimates of regression coefficients of inbreeding depression for FPED was 2.1 for AFC, 0.63 for CD and -1.21 for GL, respectively, but FPED had no significant effects on all traits. Genome-based inbreeding coefficients provided larger effects on all reproductive traits than FPED . In particular, for CD, all estimated regression coefficients for genome-based inbreeding coefficients were significant, and for GL, that for FUNI had a significant. Although there were no significant effects when using overall genome-level inbreeding coefficients for AFC and GL, FROH provided significant effects at chromosomal level in four chromosomes for AFC, three chromosomes for CD, and two chromosomes for GL. In addition, similar results were obtained for FHBD . Conclusions: Genome-based inbreeding coefficients can capture more phenotypic variation than FPED . In particular, FROH and FHBD can be considered good estimators for quantifying inbreeding level and identifying inbreeding depression at the chromosome level. These findings might improve the quantification of inbreeding and breeding programs using genome-based inbreeding coefficients.
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Nishio M., Arakawa A., Inoue K., Ichinoseki K., Kobayashi E., Okamura T., Fukuzawa Y., Ogawa S., Taniguchi M., Oe M., Takeda M., Ishii K.
Animal Science Journal 94 ( 1 ) e13850 2023.1
Language：English Publishing type：Research paper (scientific journal) Publisher：Animal Science Journal
We examined the prediction accuracies of genomic best linear unbiased prediction (GBLUP), various weighted GBLUP according to the degrees of marker effects (WGBLUP) and machine learning (ML) methods, and compared them with traditional BLUP for age at first calving (AFC), calving difficulty (CD), and gestation length in Japanese Black cattle. For WGBLUP, firstly, BayesC and FarmCPU were used to estimate marker effects. Then, we constructed three weighted genomic relationship matrices from information of estimated marker effects in the first step: absolute value of the estimated marker-effect WGBLUP, estimated marker-variance WGBLUP, and genomic-feature WGBLUP. For ML, we applied Gaussian kernel, random forest, extreme gradient boost, and support vector regression. We collected a total of 2583 animals having both phenotypic records and genotypes with 30,105 markers and 16,406 pedigree records. For AFC, prediction accuracies of WGBLUP methods using FarmCPU exceeded BLUP by 25.7%–39.5%. For CD, estimated marker-variance WGBLUP using BayesC achieved the highest prediction accuracy. Among ML methods, extreme gradient boost, support vector regression, and Gaussian kernel increased prediction accuracies by 28.4%, 19.0%, and 36.4% for AFC, CD, and gestation length compared with BLUP, respectively. Thus, prediction performance could be improved using suitable WGBLUP and ML methods according to target reproductive traits for the population used.
DOI： 10.1111/asj.13850
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Application of linear and machine learning models to genomic prediction of fatty acid composition in Japanese Black cattle. Reviewed
Nishio M, Inoue K, Arakawa A, Ichinoseki K, Kobayashi E, Okamura T, Fukuzawa Y, Ogawa S, Taniguchi M, Oe M, Takeda M, Kamata T, Konno M, Takagi M, Sekiya M, Matsuzawa T, Inoue Y, Watanabe A, Kobayashi H, Shibata E, Ohtani A, Yazaki R, Nakashima R, Ishii K
Animal science journal = Nihon chikusan Gakkaiho 94 ( 1 ) e13883 2023.1
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Investigation on inheritance transmission modes using breeding values estimated from genomic or pedigree information Reviewed
Hirooka H., Nishio M., Inoue K., Takeda M., Inoue Y.
e-Proceedings, 12th World Congress of Genetics Applied to Livestock Production (WCGALP), Rotterdam, The Netherlands 2022.7
Language：English Publishing type：Research paper (international conference proceedings)
MISC 【 display / non-display 】
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枝肉6形質以外の新たな形質のゲノミック評価、SNP情報の遺伝的多様性確保への利用の検討 Invited
井上慶一
和牛の地域特性活用ゲノム選抜定着化事業報告書 1 - 7 2023.3
Authorship：Lead author Language：Japanese Publishing type：Internal/External technical report, pre-print, etc.
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黒毛和種、褐毛和種（高知系・熊本系）および日本短角種の遺伝的能力の推移 Invited
井上 慶一
畜産技術 ( 796 ) 48 - 50 2021
Authorship：Lead author Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media)
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「NOAプログラム」による牛群管理（イスラエル） Invited
井上 慶一
DAIRYMAN 臨時増刊号 111 - 115 2021
Authorship：Lead author Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media)
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和牛集団のゲノミック評価について Invited
井上 慶一
アグリバイオ 4 18 - 22 2020
Authorship：Lead author Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media)
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黒毛和種における肉質格付成績と脂肪酸組成の遺伝的関係 Invited
井上 慶一
畜産技術 ( 769 ) 2 - 6 2019
Authorship：Lead author Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media)
Presentations 【 display / non-display 】
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【基調講演】牛の育種改良におけるゲノム情報の活用 Invited
井上慶一
第41回 日本獣医師会 獣医学術学会年次大会 シンポジウム「牛の育種改良におけるゲノム情報の活用最前線」 2023.12.1
Event date： 2023.12.1 - 2023.12.3
Presentation type：Oral presentation (keynote)
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推定豚舎外気温を用いたブタ生存産子数に対する暑熱負荷のモデリングに関する検討
篠原朋恵、小川伸一郎、福澤陽生、橋場純子、井上慶一、佐藤正寛
日本動物遺伝育種学会第24回大会
Event date： 2023.11.18 - 2023.11.19
Presentation type：Oral presentation (general)
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Applying Lagrange multipliers to the best linear unbiased prediction of breeding values for imposing constrains on genetic gains
Seiji Ieiri、Keiichi Inoue
第16回日本暖地畜産学会宮崎大会
Event date： 2023.10.21 - 2023.10.22
Presentation type：Oral presentation (general)
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SNP情報に基づく家畜改良センター繋養黒毛和種雌牛の系統分類
井上慶一、竹田将悠規、一関可純、石田孝史、藤原信一
第60回肉用牛研究会福島大会
Event date： 2023.10.18 - 2023.10.20
Presentation type：Oral presentation (general)
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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、井上善信
第60回肉用牛研究会福島大会
Event date： 2023.10.18 - 2023.10.20
Presentation type：Oral presentation (general)
Awards 【 display / non-display 】
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第53回優秀畜産技術者賞、第53回優秀畜産技術者特別賞、平成30年度農林水産省生産局長賞
2019.6 畜産技術協会
井上慶一
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日本畜産学会賞
2019.3 日本畜産学会
井上慶一
Award type：Award from Japanese society, conference, symposium, etc.
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English Presentation Award
2017.9 日本畜産学会
井上慶一
Award type：Award from Japanese society, conference, symposium, etc.
Grant-in-Aid for Scientific Research 【 display / non-display 】
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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
Grant number：22K0597701 2022.04 - 2025.03
独立行政法人日本学術振興会 科学研究費補助金 基盤研究(C)
Authorship：Coinvestigator(s)
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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
Grant number：21K05905 2021.04 - 2024.03
独立行政法人日本学術振興会 科学研究費基金 基盤研究（C）
Authorship：Coinvestigator(s)