Zobrazeno 1 - 10
of 22
pro vyhledávání: '"John P. Gibson"'
Autor:
Eva M. Strucken, Sachin Joshi, Mohammad Al Kalaldeh, Yuvraj Gaundare, John P. Gibson, H. Aliloo, Marimuthu Swaminathan, Vincent Ducrocq
Publikováno v:
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2021, 53 (1), ⟨10.1186/s12711-021-00667-6⟩
Genetics Selection Evolution, Vol 53, Iss 1, Pp 1-14 (2021)
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution, BioMed Central, 2021, 53 (1), ⟨10.1186/s12711-021-00667-6⟩
Genetics Selection Evolution, Vol 53, Iss 1, Pp 1-14 (2021)
Genetics, Selection, Evolution : GSE
Background India is the largest milk producer globally, with the largest proportion of cattle milk production coming from smallholder farms with an average herd size of less than two milking cows. These cows are mainly undefined multi-generation cros
Autor:
John P. Gibson, Eva M. Strucken, Mohammad Al Kalaldeh, Marimuthu Swaminathan, Netsanet Z. Gebrehiwot, Sachin Joshi
Publikováno v:
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution, Vol 53, Iss 1, Pp 1-17 (2021)
Genetics Selection Evolution, Vol 53, Iss 1, Pp 1-17 (2021)
Background The genetic structure of a diverse set of 15 Indian indigenous breeds and non-descript indigenous cattle sampled from eight states was examined, based on 777 k single nucleotide polymorphism (SNP) genotypes obtained on 699 animals, with sa
Autor:
Karen Marshall, Mohammad Al Kalaldeh, Netsanet Z. Gebrehiwot, H. Aliloo, John P. Gibson, Eva M. Strucken, Ayao Missohou
Publikováno v:
Frontiers in Genetics
Frontiers in Genetics, Vol 12 (2021)
Frontiers in Genetics, Vol 12 (2021)
Several studies have evaluated computational methods that infer the haplotypes from population genotype data in European cattle populations. However, little is known about how well they perform in African indigenous and crossbred populations. This st
Publikováno v:
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2021, 53 (1), pp.21. ⟨10.1186/s12711-021-00615-4⟩
Genetics Selection Evolution, Vol 53, Iss 1, Pp 1-18 (2021)
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2021, 53 (1), pp.21. ⟨10.1186/s12711-021-00615-4⟩
Genetics Selection Evolution, Vol 53, Iss 1, Pp 1-18 (2021)
Background Understanding the relationship between genetic admixture and phenotypic performance is crucial for the optimization of crossbreeding programs. The use of small sets of informative ancestry markers can be a cost-effective option for the est
Autor:
Okeyo Ally Mwai, Denis Mujibi, Eva M. Strucken, John P. Gibson, Raphael Mrode, Julie M.K. Ojango, J.E.O. Rege
Publikováno v:
Journal of Dairy Science
Efforts to improve dairy production in smallholder farming systems of East Africa over the past decade have had limited impact because of the lack of records on performance to guide targeted breeding programs. Estimates of genetic parameters in these
Publikováno v:
Journal of Animal Breeding and Genetics
Reliably identifying breed proportions in crossbred cattle in smallholder farms is a crucial step to improve mating decisions and optimizing management in these systems. High‐density genotype information is able to estimate higher‐order breed pro
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-16 (2020)
BMC Genomics
BMC Genomics
BackgroundHumplessBos tauruscattle are one of the earliest domestic cattle in Africa, followed by the arrival of humpedBos indicuscattle. The diverse indigenous cattle breeds of Africa are derived from these migrations, with most appearing to be hybr
Autor:
Hans D. Daetwyler, N. Duijvesteijn, John P. Gibson, Nasir Moghaddar, Mohammad Al Kalaldeh, Sang Hong Lee, Iona M. MacLeod, Julius H. J. van der Werf
Publikováno v:
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), pp.32. ⟨10.1186/s12711-019-0476-4⟩
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-13 (2019)
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), pp.32. ⟨10.1186/s12711-019-0476-4⟩
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-13 (2019)
Genetics, Selection, Evolution : GSE
International audience; AbstractBackgroundThis study aimed at (1) comparing the accuracies of genomic prediction for parasite resistance in sheep based on whole-genome sequence (WGS) data to those based on 50k and high-density (HD) single nucleotide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3becf6698062d11488500c49c504d23
https://hal.archives-ouvertes.fr/hal-02169226
https://hal.archives-ouvertes.fr/hal-02169226
Autor:
L. Hogan, T.J. Byrne, T. Granleese, J. H. J. van der Werf, B.F.S. Santos, P. R. Amer, John P. Gibson
Publikováno v:
Journal of Animal Breeding and Genetics. 135:221-237
With the new opportunities from DNA technology, multitier breeding schemes have the potential to become more effective and more integrated. Integrated breeding schemes can also be better adapted to account for potential genotype by environment intera
Detection of genomic regions underlying resistance to gastrointestinal parasites in Australian sheep
Autor:
John P. Gibson, Mohammad Al Kalaldeh, Sang Hong Lee, Julius H. J. van der Werf, Cedric Gondro
Publikováno v:
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), pp.37. ⟨10.1186/s12711-019-0479-1⟩
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-18 (2019)
Genetics Selection Evolution, BioMed Central, 2019, 51 (1), pp.37. ⟨10.1186/s12711-019-0479-1⟩
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-18 (2019)
Background This study aimed at identifying genomic regions that underlie genetic variation of worm egg count, as an indicator trait for parasite resistance in a large population of Australian sheep, which was genotyped with the high-density 600 K Ovi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbb4c295c60a6bd2bb76f393d9ee07f6
https://hdl.handle.net/11541.2/138407
https://hdl.handle.net/11541.2/138407