Analysis of the Genetic Diversity and Genetic Structure of Jiangshan Black Pigs Using Single Nucleotide Polymorphism (SNP) Chips

Autor: Mingfei Zhu, Litong Wang, Zhibo Ma, Yangcang Mao, Guoshui Wang, Rong Zheng, Bo Zuo, Yizhen Wang

Publikováno v: Animals, Vol 14, Iss 18, p 2660 (2024)

The Jiangshan black pig is an indigenous pig breed in China, renowned for its superior meat quality and adaptability to roughage. However, the population of Jiangshan black pigs has dwindled due to the introduction of cosmopolitan pig breeds and the

Externí odkaz: https://doaj.org/article/e3836b82928a4846bc5264e89f40575c

Genetic polymorphisms of PKLR gene and their associations with milk production traits in Chinese Holstein cows

Autor: Aixia Du, Fengru Zhao, Yanan Liu, Lingna Xu, Kewei Chen, Dongxiao Sun, Bo Han

Publikováno v: Frontiers in Genetics, Vol 13 (2022)

Our previous work had confirmed that pyruvate kinase L/R (PKLR) gene was expressed differently in different lactation periods of dairy cattle, and participated in lipid metabolism through insulin, PI3K-Akt, MAPK, AMPK, mTOR, and PPAR signaling pathwa

Externí odkaz: https://doaj.org/article/e2db5faf00a74d06b47bdfe46918c917

A study of Genomic Prediction across Generations of Two Korean Pig Populations

Autor: Beatriz Castro Dias Cuyabano, Hanna Wackel, Donghyun Shin, Cedric Gondro

Publikováno v: Animals, Vol 9, Iss 9, p 672 (2019)

Genomic models that incorporate dense marker information have been widely used for predicting genomic breeding values since they were first introduced, and it is known that the relationship between individuals in the reference population and selectio

Externí odkaz: https://doaj.org/article/9e9cbd790f8f4b7e832d022b683a2109

Genomic diversity, linkage disequilibrium and selection signatures in European local pig breeds assessed with a high density SNP chip

Autor: Marie-José Mercat, Christoph Zimmer, Anisa Ribani, I. Djurkin-Kušec, Danijel Karolyi, Luca Fontanesi, Radomir Savić, Giuseppina Schiavo, Jordi Estellé, Martin Škrlep, Čedomir Radović, María Muñoz, Marjeta Čandek-Potokar, Samuele Bovo, Valerio Joe Utzeri, Ana Isabel Fernández, Juliette Riquet, Maurizio Gallo, José Pedro Araújo, Vladimir Margeta, Cristina Óvilo, Riccardo Bozzi, Fabián García, Juan García-Casco, J.M. Martins, Rui Charneca, Raquel Quintanilla, Oreste Franci, Violeta Razmaite, Yolanda Núñez, J. Tibau

Publikováno v: Scientific Reports
IRTA Pubpro. Open Digital Archive
Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
Scientific Reports, Nature Publishing Group, 2019, 9 (1), ⟨10.1038/s41598-019-49830-6⟩
Scientific Reports, Vol 9, Iss 1, Pp 1-14 (2019)
Scientific Reports 1 (9), . (2019)
Scientific Reports, 2019, 9 (1), ⟨10.1038/s41598-019-49830-6⟩
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação
instacron:RCAAP
Scientific Reports, London : Nature Publishing Group, 2019, vol. 9, no. 1, 13546, p. 1-14

Genetic characterization of local breeds is essential to preserve their genomic variability, to advance conservation policies and to contribute to their promotion and sustainability. Genomic diversity of twenty European local pig breeds and a small s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7beb002366fca9b386c748c3bbb5b9c
http://hdl.handle.net/20.500.11960/3330

Genotype imputation accuracy in multiple equine breeds from medium- to high-density genotypes

Autor: Eric Barrey, Céline Robert, Arnaud Duluard, Anne Ricard, Sophie Danvy, Marjorie Chassier

Publikováno v: Journal of Animal Breeding and Genetics 6 (135), 420-431. (2018)
Journal of Animal Breeding and Genetics
Journal of Animal Breeding and Genetics, Wiley, 2018, 135 (6), pp.420-431. ⟨10.1111/jbg.12358⟩

International audience; Genotype imputation is now a key component of genomic analyses as it increases the density of available genotypes within a population. However, many factors can influence imputation accuracy. The aim of this study was to asses

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f034f0c9b1f28824f420427b92a6514
http://prodinra.inra.fr/record/459241