Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Miguel Ángel Fernández‐Barroso"'
Autor:
Miguel Ángel Fernández-Barroso, Carmen Caraballo, Luis Silió, Carmen Rodríguez, Yolanda Nuñez, Fernando Sánchez-Esquiliche, Gema Matos, Juan María García-Casco, María Muñoz
Publikováno v:
Animals, Vol 10, Iss 9, p 1715 (2020)
Tenderness is one of the most important meat quality traits and it can be measured through shear force with the Warner–Bratzler test. In the current study, we use the RNA-seq technique to analyze the transcriptome of Longissimus dorsi (LD) muscle i
Externí odkaz:
https://doaj.org/article/a6e6e6d4b5a34e899cda0dd4901708e4
Autor:
María Muñoz, Juan María García-Casco, Carmen Caraballo, Miguel Ángel Fernández-Barroso, Fernando Sánchez-Esquiliche, Fernando Gómez, María del Carmen Rodríguez, Luis Silió
Publikováno v:
Frontiers in Genetics, Vol 9 (2018)
One of the most important determinants of meat quality is the intramuscular fat (IMF) content. The development of high-throughput techniques as RNA-seq allows identifying gene pathways and networks with a differential expression (DE) between groups o
Externí odkaz:
https://doaj.org/article/017d11e4c6c24f31a6951de7567e0997
Autor:
Wendy Mercedes Rauw, Juan María García Casco, Fernando Gómez Carballar, Eduardo de la Serna Fito, Patricia Palma Granados, Miguel Ángel Fernández Barroso, Luis Gomez Raya
Publikováno v:
Revista Brasileira de Zootecnia, Vol 49 (2020)
ABSTRACT We investigated the ability to predict production performance in Iberian pigs in an extensive production system from measurements of feed efficiency measured intensively. The second objective of this work was to study the relationship betwee
Externí odkaz:
https://doaj.org/article/ab03041ebf064c1b9368c2e418b12a35
Autor:
Carmen Caraballo, Luis Silió, Patricia Palma-Granados, Fernando Sánchez-Esquiliche, Fernando Gómez‐Carballar, Carmen Rodríguez, Juan García-Casco, Miguel Ángel Fernández-Barroso, María Olga Macías Muñoz, Adrián García López
Publikováno v:
Journal of Animal Breeding and Genetics. 137:581-598
Meat quality of Iberian pigs is defined by the combination of their genetic characteristics and the particular production system. To carry out a genetic analysis of the main meat quality traits, we estimated their heritabilities, genetic correlations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c5df0e358ed44f63abc7ba32619134d
https://doi.org/10.1111/jbg.12498
https://doi.org/10.1111/jbg.12498
Autor:
Miguel Ángel Fernández‐Barroso, Juan María García‐Casco, Yolanda Núñez, Luisa Ramírez‐Hidalgo, Gema Matos, María Muñoz
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
16Pág.
Meat color is the first perceived sensory feature and one of the most important quality traits. Myoglobin is the main pigment in meat, giving meat its characteristic cherry-red color, highly appreciated by the consumers. In the current s
Meat color is the first perceived sensory feature and one of the most important quality traits. Myoglobin is the main pigment in meat, giving meat its characteristic cherry-red color, highly appreciated by the consumers. In the current s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bab564e58bb117ba575708f7c17e116c
https://pubmed.ncbi.nlm.nih.gov/35355298
https://pubmed.ncbi.nlm.nih.gov/35355298
Autor:
Patricia Palma-Granados, Miguel Ángel Fernández-Barroso, Juan García-Casco, Gema Matos, María Olga Macías Muñoz, Alessandro Crovetti, Luisa Ramírez, Silvia Parrini, Riccardo Bozzi
8 Pág. Departamento de Mejora Genética Animal
Near infrared spectroscopy (NIRS) can be useful in order to determine meat quality traits as a rapid and non-destructive technique. The aim of the present study is to assess the accuracy of NIRS
Near infrared spectroscopy (NIRS) can be useful in order to determine meat quality traits as a rapid and non-destructive technique. The aim of the present study is to assess the accuracy of NIRS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::584ab0e75a271e1614bf608751a8314a
http://hdl.handle.net/10261/287408
http://hdl.handle.net/10261/287408
