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A Bayesian Multivariate Gametic Model in a Reciprocal Cross with Genomic Information: An Example with Two Iberian Varieties

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A Bayesian Multivariate Gametic Model in a Reciprocal Cross with Genomic Information: An Example with Two Iberian Varieties

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Srihi, H.; López-Carbonell, D.; Ibáñez-Escriche, N.; Casellas, J.; Hernández, P.; Negro, S.; Varona, L. (2023). A Bayesian Multivariate Gametic Model in a Reciprocal Cross with Genomic Information: An Example with Two Iberian Varieties. Animals. 13(10). https://doi.org/10.3390/ani13101648

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/203707

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Title: A Bayesian Multivariate Gametic Model in a Reciprocal Cross with Genomic Information: An Example with Two Iberian Varieties
Author: Srihi, Houssemeddine López-Carbonell, David Ibáñez-Escriche, Noelia Casellas, Joaquim Hernández, Pilar Negro, Sara Varona, Luis
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural
Issued date:
Abstract:
[EN] INGA FOOD, S.A. initiated a crossbreeding program between two Iberian pig varieties, Retinto (R) and Entrepelado (E), with the goal of producing a hybrid sow (F1). Several studies have been conducted to evaluate its ...[+]
Subjects: Gametic model , Iberian pig , Crossbreeding , Retinto , Entrepelado
Copyrigths: Reconocimiento (by)
Source:
Animals. (eissn: 2076-2615 )
DOI: 10.3390/ani13101648
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/ani13101648
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114705RB-I00/ES/ANALISIS DEL PERFIL DEL MICROBIOTA INTESTINAL EN DOS ESTIRPES DE IBERICO Y SUS CRUCES RECIPROCOS CON DIFERENCIAS EN RENDIMIENTO DEL CRECIMIENTO Y CALIDAD DE CARNE/
info:eu-repo/grantAgreement/EC/H2020/801586/EU/International Doctoral Programme for Talent Attraction to the Campus of International Excellence of the Ebro Valley/
info:eu-repo/grantAgreement/MCIU//IDI-20170304/
info:eu-repo/grantAgreement/MCIU//CGL2016-80155-R/
Thanks:
The research was partially funded by grants CGL2016-80155-R, PID2020-114705RB-I00 (Ministerio de Ciencia e Innovación), and IDI-20170304 (CDTI). Srihi received funding from the European Union s H2020 research and innovation ...[+]
Type: Artículo

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