501 to 510 of 1,280 Results
Sep 23, 2022
Jerre, Anniken, 2022, "Supplementary information for: "Evaluation of three commercial ELISA tests for serological detection of maedi-visna virus using Bayesian latent class analysis"", https://doi.org/10.18710/LSQ4ES, DataverseNO, V1
Early and accurate diagnosis is fundamental for successful surveillance and control of maedi-visna virus (MVV). Our study aimed to evaluate three commercial ELISA tests for MVV antibodies. We conducted a retrospective study using 615 samples from six flocks diagnosed with MVV in Norway in 2019. We ran all samples with the following three tests: ID... |
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MD5: 8eb79c56c0c1bf61a4c44eedb958f31a
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Comma Separated Values - 11.3 KB -
MD5: c7f8e69d1659007c8ace259ad109b287
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R Syntax - 5.7 KB -
MD5: 4c162f98ab3493c20b612ad09eaacb78
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Sep 23, 2022
Zanotto, Stefano, 2022, "Replication data for: Biochemical changes after cold acclimation in Nordic red clover (Trifolium pratense L.) accessions with contrasting levels of freezing tolerance", https://doi.org/10.18710/3OTFVO, DataverseNO, V1
The data deposited here correspond to the content of analyzed metabolites (carbohydrates, amino acids and phenolic compounds) in red clover crowns before and after cold acclimation treatment. Carbohydrates and amino acids content was determined through high performance liquid chromatography (HPLC), while phenolic compounds content was determined th... |
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MD5: 42e910ab7bec740626f3ea276c378d81
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MD5: 3b61ed16300455cfcfdb7cde1abf856c
Amino acid content in 10 different red clover accessions, 5 freezing tolerant (FT) and 5 freezing susceptible (FS) for 2 different treatments, no acclimation (NAC) and cold acclimation (AC). |
Plain Text - 18.6 KB -
MD5: 9642f2141197cbc9adb38129fd1d90be
Carbohydrates content in 10 different red clover accessions, 5 freezing tolerant (FT) and 5 freezing susceptible (FS) for 2 different treatments, no acclimation (NAC) and cold acclimation (AC). |
May 16, 2023
Heggli, Andrew; Alvseike, Ole; Bjerke, Frøydis; Gangsei, Lars Erik; Kongsro, Jørgen; Røe, Morten; Vinje, Hilde, 2023, "Metadata and Rcode for: Carcase grading reflects the variation in beef yield - A multivariate method for exploring the relationship between beef yield and carcase traits", https://doi.org/10.18710/TMSSJP, DataverseNO, V1
R-script and metadata accompanying data for 'Carcase grading reflects the variation in beef yield - A multivariate method for exploring the relationship between beef yield and carcase trait'. The aim of study is to evaluate and describe how changes in conformation, fat cover, weight and category contribute to change in multivariate yield. In additi... |
Plain Text - 4.4 KB -
MD5: b0ecb3bd88b64033115a5354e987467b
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