Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Amir Aliakbari"'
Publikováno v:
Genetics Selection Evolution, Vol 54, Iss 1, Pp 1-15 (2022)
Abstract Background The objective of the present study was to investigate how variation in the faecal microbial composition is associated with variation in average daily gain (ADG), backfat thickness (BFT), daily feed intake (DFI), feed conversion ra
Externí odkaz:
https://doaj.org/article/84d66e1b37e64cf9b4dfc42c84aba348
Autor:
Emilie Delpuech, Amir Aliakbari, Yann Labrune, Katia Fève, Yvon Billon, Hélène Gilbert, Juliette Riquet
Publikováno v:
Genetics Selection Evolution, Vol 53, Iss 1, Pp 1-15 (2021)
Abstract Background Feed efficiency is a major driver of the sustainability of pig production systems. Understanding the biological mechanisms that underlie these agronomic traits is an important issue for environment questions and farms' economy. Th
Externí odkaz:
https://doaj.org/article/a0abd661432347b5ba64122210f20dff
Publikováno v:
Genetics Selection Evolution, Vol 52, Iss 1, Pp 1-15 (2020)
Abstract Background Most genomic predictions use a unique population that is split into a training and a validation set. However, genomic prediction using genetically heterogeneous training sets could provide more flexibility when constructing the tr
Externí odkaz:
https://doaj.org/article/ecc097f57b974806a7fbee064a74fa02
Publikováno v:
Computational and Theoretical Chemistry. 1222:114053
Publikováno v:
Computational Condensed Matter. 34:e00789
Publikováno v:
Solid State Communications. 360:115055
Publikováno v:
Genetics Selection Evolution, Vol 52, Iss 1, Pp 1-15 (2020)
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2020, 52 (1), ⟨10.1186/s12711-020-00576-0⟩
Genetics Selection Evolution, BioMed Central, 2020, 52 (1), pp.57. ⟨10.1186/s12711-020-00576-0⟩
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2020, 52 (1), ⟨10.1186/s12711-020-00576-0⟩
Genetics Selection Evolution, BioMed Central, 2020, 52 (1), pp.57. ⟨10.1186/s12711-020-00576-0⟩
Background Most genomic predictions use a unique population that is split into a training and a validation set. However, genomic prediction using genetically heterogeneous training sets could provide more flexibility when constructing the training se
Publikováno v:
Journal of Animal Breeding and Genetics
Journal of Animal Breeding and Genetics, Wiley, 2020, Non paginé. ⟨10.1111/jbg.12494⟩
Journal of Animal Breeding and Genetics, Wiley, 2020, Non paginé. ⟨10.1111/jbg.12494⟩
Non‐genetic information (epigenetic, microbiota, behaviour) that results in different phenotypes in animals can be transmitted from one generation to the next and thus is potentially involved in the inheritance of traits. However, in livestock spec
Autor:
Juliette Riquet, Yann Labrune, Amir Aliakbari, Katia Feve, Emilie Delpuech, Hélène Gilbert, Yvon Billon
Publikováno v:
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2021, 53 (1), ⟨10.1186/s12711-021-00642-1⟩
Genetics Selection Evolution, Vol 53, Iss 1, Pp 1-15 (2021)
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution, BioMed Central, 2021, 53 (1), ⟨10.1186/s12711-021-00642-1⟩
Genetics Selection Evolution, Vol 53, Iss 1, Pp 1-15 (2021)
Genetics, Selection, Evolution : GSE
Background Feed efficiency is a major driver of the sustainability of pig production systems. Understanding the biological mechanisms that underlie these agronomic traits is an important issue for environment questions and farms' economy. This study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3562529acc9deddc996047f5a8e8f29
https://hal.inrae.fr/hal-03264496
https://hal.inrae.fr/hal-03264496
Publikováno v:
Genetics, selection, evolution : GSE. 54(1)
Background The objective of the present study was to investigate how variation in the faecal microbial composition is associated with variation in average daily gain (ADG), backfat thickness (BFT), daily feed intake (DFI), feed conversion ratio (FCR)