Institution
University of Veterinary and Animal Sciences
Education•Lahore, Pakistan•
About: University of Veterinary and Animal Sciences is a education organization based out in Lahore, Pakistan. It is known for research contribution in the topics: Population & Biology. The organization has 1902 authors who have published 2804 publications receiving 28787 citations.
Topics: Population, Biology, Medicine, Control chart, Feed conversion ratio
Papers published on a yearly basis
Papers
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TL;DR: The genomic signature analysis demonstrates that a strong association between the time of sample collection, location of sample and accumulation of genetic diversity is found and heavily supports an intense requirement for additional prompt, inclusive investigations that combine genomic detail, epidemiological information and graph records of the clinical features of patients with COVID-19.
622 citations
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TL;DR: This review highlights the apparent significance of Vibrio fischeri bioluminescence inhibition assay for ecotoxicological screening and evaluation of diverse chemical substances toxicity profile.
421 citations
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TL;DR: A self-administered validated questionnaire was used to assess knowledge, attitude and practice among HCPs in Pakistan regarding COVID-19, and regression analysis indicated pharmacist role was the substantial determinant of good practice.
406 citations
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University of Missouri1, University of Vermont2, Oklahoma State University–Stillwater3, University of Córdoba (Spain)4, Agricultural Research Service5, University of Nottingham6, Uppsala University7, Texas A&M University8, University of Veterinary and Animal Sciences9, Empresa Brasileira de Pesquisa Agropecuária10, Ankara University11, Pennsylvania State University12, Northwest A&F University13, Iowa State University14, University of Agriculture, Faisalabad15
TL;DR: It is argued that cattle migration, movement and trading followed by admixture have been important forces in shaping modern bovine genomic variation.
Abstract: The domestication and development of cattle has considerably impacted human societies, but the histories of cattle breeds and populations have been poorly understood especially for African, Asian, and American breeds. Using genotypes from 43,043 autosomal single nucleotide polymorphism markers scored in 1,543 animals, we evaluate the population structure of 134 domesticated bovid breeds. Regardless of the analytical method or sample subset, the three major groups of Asian indicine, Eurasian taurine, and African taurine were consistently observed. Patterns of geographic dispersal resulting from co-migration with humans and exportation are recognizable in phylogenetic networks. All analytical methods reveal patterns of hybridization which occurred after divergence. Using 19 breeds, we map the cline of indicine introgression into Africa. We infer that African taurine possess a large portion of wild African auroch ancestry, causing their divergence from Eurasian taurine. We detect exportation patterns in Asia and identify a cline of Eurasian taurine/indicine hybridization in Asia. We also identify the influence of species other than Bos taurus taurus and B. t. indicus in the formation of Asian breeds. We detect the pronounced influence of Shorthorn cattle in the formation of European breeds. Iberian and Italian cattle possess introgression from African taurine. American Criollo cattle originate from Iberia, and not directly from Africa with African ancestry inherited via Iberian ancestors. Indicine introgression into American cattle occurred in the Americas, and not Europe. We argue that cattle migration, movement and trading followed by admixture have been important forces in shaping modern bovine genomic variation.
343 citations
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TL;DR: It can be concluded that NP induced oxidative stress and pro-inflammatory responses are well correlated not only with the BET (Brunauer, Emmett and Teller) surface of the individual NPs but also with the internalized amount of NPs.
310 citations
Authors
Showing all 1931 results
Name | H-index | Papers | Citations |
---|---|---|---|
Muhammad Ashraf | 100 | 1541 | 57240 |
Muhammad Imran | 94 | 3053 | 51728 |
Muhammad Farooq | 92 | 1341 | 37533 |
Muhammad Bilal | 63 | 720 | 14720 |
Khalid Iqbal | 62 | 276 | 12115 |
Muhammad Nadeem | 52 | 409 | 9649 |
Muhammad Ali | 48 | 449 | 8501 |
Mohammed A. Gondal | 48 | 370 | 8366 |
Ilyas Khan | 47 | 637 | 9893 |
Muhammad Nawaz | 47 | 561 | 14626 |
Muhammad Umar | 45 | 228 | 5851 |
Learn Han Lee | 39 | 186 | 5293 |
Muhammad Aqeel Ashraf | 38 | 311 | 5692 |
Peter C. Thomson | 38 | 329 | 6184 |
Bey Hing Goh | 36 | 185 | 3529 |