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Genetic parameters for novel mastitis traits defined by combining test-day somatic cell score and differential somatic cell count in the first lactation of Japanese Holsteins
https://obihiro.repo.nii.ac.jp/records/2000208
https://obihiro.repo.nii.ac.jp/records/20002083b60d81d-0a4e-4a1d-82c4-01de9f155909
名前 / ファイル | ライセンス | アクション |
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Full Text (2.3 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||||
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公開日 | 2024-06-21 | |||||||
タイトル | ||||||||
タイトル | Genetic parameters for novel mastitis traits defined by combining test-day somatic cell score and differential somatic cell count in the first lactation of Japanese Holsteins | |||||||
言語 | en | |||||||
言語 | ||||||||
言語 | eng | |||||||
キーワード | ||||||||
言語 | en | |||||||
主題Scheme | Other | |||||||
主題 | differential somatic cell count | |||||||
キーワード | ||||||||
言語 | en | |||||||
主題Scheme | Other | |||||||
主題 | immune-associated trait | |||||||
キーワード | ||||||||
言語 | en | |||||||
主題Scheme | Other | |||||||
主題 | mastitis | |||||||
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言語 | en | |||||||
主題Scheme | Other | |||||||
主題 | somatic cell score | |||||||
資源タイプ | ||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||
資源タイプ | journal article | |||||||
著者 |
Huang, Che-Hsuan
× Huang, Che-Hsuan× Furukawa, Kenji
× 草場, 信之× Baba, Toshimi× Kawakami, Junpei× 萩谷, 功一 |
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抄録 | ||||||||
内容記述タイプ | Abstract | |||||||
内容記述 | In this study, we aimed to improve current udder health genetic evaluations by addressing the limitations of monthly sampled somatic cell score (SCS) for distinguishing cows with robust innate immunity from those susceptible to chronic infections. The objectives were to (1) establish novel somatic cell traits by integrating SCS and the differential somatic cell count (DSCC), which represents the combined proportion of polymorphonuclear leukocytes and lymphocytes in somatic cells and (2) estimate genetic parameters for the new traits, including their daily heritability and genetic correlations with milk production traits and SCS, using a random regression test-day model (RRTDM). We derived 3 traits, termed ML_SCS_DSCC, SCS_4_DSCC_65_binary, and ML_SCS_DSCC_binary, by using milk loss (ML) estimates at corresponding SCS and DSCC levels, thresholds established in previous studies, and a threshold established from milk loss estimates, respectively. Data consisted of test-day records collected during January 2021 through March 2022 from 265 herds in Hokkaido, Japan. From these records, we extracted records between 7 to 305 d in milk (DIM) in the first lactation to fit the RRTDM. The model included the random effect of herd-test-day, the fixed effect of year-month, fixed lactation curves nested with calving age groups, and random regressions with Legendre polynomials of order 3 for additive genetic and permanent environmental effects. The analysis was performed using Gibbs sampling with Gibbsf90+ software. The averages (ranges) of the daily heritability estimates over lactation were 0.086 (0.075–0.095) for SCS, 0.104 (0.073–0.127) for ML_SCS_DSCC, 0.137 (0.014–0.297) for SCS_4_DSCC_65_binary, and 0.138 (0.115–0.185) for ML_SCS_DSCC_binary; the heritability curve for SCS_4_DSCC_65_binary was erratic. Genetic correlations within the trait decreased as the DIM interval widened, especially for those integrating DSCC, indicating that these traits should be analyzed using RRTDM rather than repeatability models. The averages (ranges) of genetic correlations with milk yield over lactation were 0.01 (−0.22 to 0.28) for SCS, −0.05 (−0.40 to 0.13) for ML_SCS_DSCC, −0.08 (−0.17 to 0.09) for SCS_4_DSCC_65_binary, and −0.08 (−0.22 to 0.27) for ML_SCS_DSCC_binary. Compared with SCS, the newly defined traits exhibited slightly stronger negative genetic correlations with milk yield. Especially in late lactation stages, the genetic correlation between ML_SCS_DSCC and milk yield was significantly below zero, with a posterior median of −0.40. Furthermore, the new traits showed positive correlations with SCS, having estimates varying from 0.68 to 0.85 for ML_SCS_DSCC, 0.14 to 0.47 for SCS_4_DSCC_65_binary, and 0.61 to 0.66 for ML_SCS_DSCC_binary, depending on DIM. Considering that ML_SCS_DSCC and ML_SCS_DSCC_binary have relatively high heritability (compared with SCS) and favorable genetic correlations with milk production traits and SCS, their incorporation into breeding programs appears promising. Nevertheless, their genetic relationships with (sub)clinical mastitis require further investigation. | |||||||
言語 | en | |||||||
書誌情報 |
en : Journal of Dairy Science 巻 107, 号 6, p. 3738-3752, 発行日 2024-06 |
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出版者 | ||||||||
出版者 | Elsevier | |||||||
言語 | en | |||||||
ISSN | ||||||||
収録物識別子タイプ | PISSN | |||||||
収録物識別子 | 00220302 | |||||||
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関連タイプ | isIdenticalTo | |||||||
識別子タイプ | PMID | |||||||
関連識別子 | 38246544 | |||||||
DOI | ||||||||
関連タイプ | isIdenticalTo | |||||||
識別子タイプ | DOI | |||||||
関連識別子 | http://doi.org/10.3168/jds.2023-24399 | |||||||
権利 | ||||||||
言語 | en | |||||||
権利情報 | The Authors | |||||||
フォーマット | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | application/pdf | |||||||
言語 | en | |||||||
著者版フラグ | ||||||||
出版タイプ | VoR | |||||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||
日本十進分類法 | ||||||||
言語 | ja | |||||||
主題Scheme | NDC | |||||||
主題 | 645 |