Search Results - "Nishio, Motohide"

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  1. 1

    Including dominance effects in the genomic BLUP method for genomic evaluation by Nishio, Motohide, Satoh, Masahiro

    Published in PloS one (08-01-2014)
    “…We evaluated the performance of GBLUP including dominance genetic effect (GBLUP-D) by estimating variances and predicting genetic merits in a computer…”
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    Journal Article
  2. 2

    Performance of the No-U-Turn sampler in multi-trait variance component estimation using genomic data by Nishio, Motohide, Arakawa, Aisaku

    Published in Genetics selection evolution (Paris) (11-07-2022)
    “…Multi-trait genetic parameter estimation is an important topic for target traits with few records and with a low heritability and when the genetic correlation…”
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    Journal Article
  3. 3

    Performance of Hamiltonian Monte Carlo and No-U-Turn Sampler for estimating genetic parameters and breeding values by Nishio, Motohide, Arakawa, Aisaku

    Published in Genetics selection evolution (Paris) (10-12-2019)
    “…Hamiltonian Monte Carlo is one of the algorithms of the Markov chain Monte Carlo method that uses Hamiltonian dynamics to propose samples that follow a target…”
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    Journal Article
  4. 4

    Comparing pedigree and genomic inbreeding coefficients, and inbreeding depression of reproductive traits in Japanese Black cattle by Nishio, Motohide, Inoue, Keiichi, Ogawa, Shinichiro, Ichinoseki, Kasumi, Arakawa, Aisaku, Fukuzawa, Yo, Okamura, Toshihiro, Kobayashi, Eiji, Taniguchi, Masaaki, Oe, Mika, Ishii, Kazuo

    Published in BMC genomics (05-07-2023)
    “…Pedigree-based inbreeding coefficients have been generally included in statistical models for genetic evaluation of Japanese Black cattle. The use of genomic…”
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    Journal Article
  5. 5
  6. 6

    Inferring phenotypic causal structure among farrowing and weaning traits in pigs by Okamura, Toshihiro, Ishii, Kazuo, Nishio, Motohide, Rosa, Guilherme J. M., Satoh, Masahiro, Sasaki, Osamu

    Published in Animal science journal (01-01-2020)
    “…Direct selection for litter size or weight at weaning in pigs is often hindered by external interventions such as cross‐fostering. The objective of this study…”
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    Journal Article
  7. 7

    Differential Metabolomics Profiles Identified by CE-TOFMS between High and Low Intramuscular Fat Amount in Fattening Pigs by Taniguchi, Masaaki, Arakawa, Aisaku, Nishio, Motohide, Okamura, Toshihiro, Ohnishi, Chika, Kadowaki, Kouen, Kohira, Kimiko, Homma, Fumika, Matsumoto, Kazunori, Ishii, Kazuo

    Published in Metabolites (07-08-2020)
    “…The amount of intramuscular fat (IMF) present in the loin eye area is one of the most important characteristics of high-quality pork. IMF measurements are…”
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    Journal Article
  8. 8

    Parameters affecting genome simulation for evaluating genomic selection method by Nishio, Motohide, Satoh, Masahiro

    Published in Animal science journal (01-10-2014)
    “…The present study investigated the parameter settings for obtaining a simulated genome at steady state of allele frequency (mutation–drift equilibrium) and…”
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    Journal Article
  9. 9

    Genomic best linear unbiased prediction method including imprinting effects for genomic evaluation by Nishio, Motohide, Satoh, Masahiro

    Published in Genetics selection evolution (Paris) (19-04-2015)
    “…Genomic best linear unbiased prediction (GBLUP) is a statistical method used to predict breeding values using single nucleotide polymorphisms for selection in…”
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    Journal Article
  10. 10

    Plateau‐linear reaction norm model analysis of number born alive in purebred Landrace pigs using meteorological data in Japan by Ogawa, Shinichiro, Okamura, Toshihiro, Fukuzawa, Yo, Nishio, Motohide, Ishii, Kazuo, Kimata, Makoto, Tomiyama, Masamitsu, Satoh, Masahiro

    “…We performed a plateau‐linear reaction norm model (RNM) analysis of number born alive (NBA) in purebred Landrace pigs, where breeding value changes according…”
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    Journal Article
  11. 11

    Effects of parent‐of‐origin models with different pedigree information on beef carcass traits and fatty acid composition in Japanese Black cattle by Inoue, Keiichi, Nishio, Motohide, Shoji, Noriaki, Hirooka, Hiroyuki

    “…Genomic imprinting should be considered in animal breeding systems to avoid lead in bias in genetic parameter estimation. The objective of this study was to…”
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    Journal Article
  12. 12

    Evaluation of genomic prediction considering non-additive genetic effects on fatty acid traits of Japanese Black cattle by Oyama, Hidemi, Nishio, Motohide, Shibata, Eri, Takemyo, Hinaka, Ichinoseki, Kasumi, Ishii, Kazuo

    Published in Animal science journal (01-01-2024)
    “…Genomic prediction was conducted using 2494 Japanese Black cattle from Hiroshima Prefecture and both single-nucleotide polymorphism information and phenotype…”
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    Journal Article
  13. 13

    Reaction-norm animal model analysis of average daily gain heat tolerance in purebred Duroc pigs by Fukuzawa, Yo, Ogawa, Shinichiro, Okamura, Toshihiro, Nishio, Motohide, Ishii, Kazuo, Takahashi, Hiroshi, Satoh, Masahiro

    Published in Animal science journal (01-01-2024)
    “…The present study aimed to genetically improve growth performance under high-heat environments by specifically designing a reaction-norm animal model (RNAM)…”
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    Journal Article
  14. 14

    Hamiltonian Monte Carlo method for estimating variance components by Arakawa, Aisaku, Hayashi, Takeshi, Taniguchi, Masaaki, Mikawa, Satoshi, Nishio, Motohide

    Published in Animal science journal (01-01-2021)
    “…A Hamiltonian Monte Carlo algorithm is a Markov chain Monte Carlo method, and the method has a potential to improve estimating parameters effectively…”
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    Journal Article
  15. 15

    Impacts of genotyping strategies on long‐term genetic response in genomic selection by Nishio, Motohide, Satoh, Masahiro

    Published in Animal science journal (01-05-2014)
    “…The present study investigated the effects of the choices of animals of reference populations on long‐term responses to genomic selection. Simulated…”
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    Journal Article
  16. 16

    Including Dominance Effects in the Genomic BLUP Method for Genomic Evaluation: e85792 by Nishio, Motohide, Satoh, Masahiro

    Published in PloS one (01-01-2014)
    “…We evaluated the performance of GBLUP including dominance genetic effect (GBLUP-D) by estimating variances and predicting genetic merits in a computer…”
    Get full text
    Journal Article
  17. 17