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Akademický článek

Assessing transition cow management in dairy cows for improved health, milk production, pregnancy, and culling outcomes

Autor: J.G. Cook, P.T. Pepler, L. Viora, D.L. Hill

Publikováno v: Journal of Dairy Science, Vol 107, Iss 12, Pp 11381-11397 (2024)

ABSTRACT: Understanding of the social environment has the potential to benefit dairy cow welfare and production. Our aim was to evaluate the associations of stocking density, calving density, days spent in a prepartum group before calving (days spent

Externí odkaz: https://doaj.org/article/e743384b0a93448b8c58339f6d9e0d0d

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Akademický článek

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Akademický článek

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Association of days in close up, gestation length, and rumination around time of calving with disease and pregnancy outcomes in multiparous dairy cows

Autor: Lorenzo Viora, J. G. Cook, P.T. Pepler

Publikováno v: Journal of dairy science. 104(8)

The purpose of this study was to evaluate the effect of rumination times and days spent in a close-up group before calving (DCU) on early-lactation health and reproductive outcomes in dairy cows. Data were gathered for 719 cows located in a single he

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::582b5f6787e23e89df4e0c7c9869ef38
https://pubmed.ncbi.nlm.nih.gov/33934871

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Regularized covariance matrix estimation under the common principal components model

Autor: P.T. Pepler, Daan Nel, D. W. Uys

Publikováno v: Communications in Statistics - Simulation and Computation. 47:631-643

The common principal components (CPC) model provides a way to model the population covariance matrices of several groups by assuming a common eigenvector structure. When appropriate, this model can provide covariance matrix estimators of which the el

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0326dce5aa44d8d4a6c7020f3ef87bc6
https://doi.org/10.1080/03610918.2015.1040499

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Akademický článek

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Discriminant analysis under the common principal components model

Autor: Daan Nel, D. W. Uys, P.T. Pepler

Publikováno v: Communications in Statistics - Simulation and Computation. 46:4812-4827

For two or more populations of which the covariance matrices have a common set of eigenvectors, but different sets of eigenvalues, the common principal components (CPC) model is appropriate. Pepler et al. (2015) proposed a regularised CPC covariance

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8a397239e2bf4826026e99475110506
https://doi.org/10.1080/03610918.2015.1134568

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Akademický článek

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Relative quantitation goes viral: An RT-qPCR assay for a grapevine virus

Autor: Rachelle Bester, Johan T. Burger, P.T. Pepler, Hans J. Maree

Publikováno v: Journal of Virological Methods. 210:67-75

Accurate detection and quantitation of viruses can be beneficial to plant-virus interaction studies. In this study, three SYBR green real-time RT-PCR assays were developed to quantitate grapevine leafroll-associated virus 3 (GLRaV-3) in infected vine

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7ab4aad5d5eec814002d15f2e40f659
https://doi.org/10.1016/j.jviromet.2014.09.022

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A Comparison of Some Methods for the Selection of a Common Eigenvector Model for the Covariance Matrices of Two Groups

Autor: D. W. Uys, Daan Nel, P.T. Pepler

Publikováno v: Communications in Statistics - Simulation and Computation. 45:2917-2936

Two new nonparametric common principal component model selection procedures based on bootstrap distributions of the vector correlations of all combinations of the eigenvectors from two groups are proposed. The performance of these methods is compared

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bec4740092b6a7d10b64902f82127f64
https://doi.org/10.1080/03610918.2014.932801

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