Results overview: Found 51 records in 0.02 seconds.
Articles, 44 records found
Research literature, 7 records found
Articles 44 records found  1 - 10nextend  jump to record:
1.
14 p, 1.1 MB Automatic Fruit Morphology Phenome and Genetic Analysis : An Application in the Octoploid Strawberry / Zingaretti, Laura M. (Centre de Recerca en Agrigenòmica) ; Monfort, Amparo (Centre de Recerca en Agrigenòmica) ; Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica)
Automatizing phenotype measurement will decisively contribute to increase plant breeding efficiency. Among phenotypes, morphological traits are relevant in many fruit breeding programs, as appearance influences consumer preference. [...]
2021 - 10.34133/2021/9812910
Plant Phenomics, Vol. 2021 (May 2021) , art. ID9812910  
2.
10 p, 1.2 MB Phenomes : the current frontier in animal breeding / Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica) ; Steibel, Juan P. (Michigan State University. Department of Fisheries and Wildlife)
Improvements in genomic technologies have outpaced the most optimistic predictions, allowing industry-scale application of genomic selection. However, only marginal gains in genetic prediction accuracy can now be expected by increasing marker density up to sequence, unless causative mutations are identified. [...]
2021 - 10.1186/s12711-021-00618-1
Genetics, selection, evolution, Vol. 53 (March 2021) , art. 22  
3.
1 p, 276.2 KB Corrigendum to "Automatic Fruit Morphology Phenome and Genetic Analysis : An Application in the Octoploid Strawberry" / Zingaretti, Laura M. (Centre de Recerca en Agrigenòmica) ; Monfort, Amparo (Institut de Recerca i Tecnologia Agroalimentàries) ; Perez-Enciso, Miguel (Institució Catalana de Recerca i Estudis Avançats)
2022 - 10.34133/2022/9873618
Plant Phenomics, Vol. 2022 (January 2022) , art. ID9873618  
4.
6 p, 713.3 KB Rohan Fernando : a road from Sri Lanka to Ames / Gianola, Daniel (University of Wisconsin-Madison) ; Cantet, Rodolfo J. (Universidad de Buenos Aires-INPA-CONICET) ; Dekkers, Jack C. M. (Iowa State University) ; Perez-Enciso, Miguel (Universitat Autònoma de Barcelona)
2022 - 10.1186/s12711-022-00704-y
Genetics, selection, evolution, Vol. 54 (February 2022) , art. 9  
5.
1 p, 573.5 KB Correction to : Genome-wide SNP data unveils the globalization of domesticated pigs / Yang, Bin (Jiangxi Agricultural University. National Key Laboratory for Pig Genetic Improvement and Production Technology) ; Cui, Leilei (Jiangxi Agricultural University. National Key Laboratory for Pig Genetic Improvement and Production Technology) ; Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica) ; Traspov, Aleksei (Federal Science Center for Animal Husbandry named after Academy Member L.K. Ernst) ; Crooijmans, Richard (Wageningen University. Animal Breeding and Genomics) ; Zinovieva, Natalia (Federal Science Center for Animal Husbandry named after Academy Member L.K. Ernst) ; Schook, Lawrence B. (University of Illinois. Institute of Genomic Biology) ; Archibald, Alan (University of Edinburgh. The Roslin Institute) ; Gatphayak, Kesinee (Chiang Mai University. Animal and Aquatic Sciences) ; Knorr, Christophe (University of Göttingen. Department of Animal Sciences) ; Triantafyllidis, Alex (Aristotle University of Thessaloníki. Department of Genetics, Development and Molecular Biology) ; Alexandri, Panoraia (Aristotle University of Thessaloníki. Department of Genetics, Development and Molecular Biology) ; Semiadi, Gono (Lembaga Ilmu Pengetahuan Indonesia. Research Centre for Biology-Zoology Division) ; Hanotte, Olivier (University of Nottingham. School of Biology) ; Dias, Deodália (Universidade de Lisboa. Faculdade de Ciências) ; Dovč, Peter (University of Ljubljana. Department of Animal Science) ; Uimari, Pekka (University of Helsinki. Department of Agricultural Sciences) ; Iacolina, Laura (University of Sassari. Department of Science for Nature and Environmental Resources) ; Scandura, Massimo (University of Sassari. Department of Science for Nature and Environmental Resources) ; Groenen, Martien A. M. (Wageningen University. Animal Breeding and Genomics) ; Huang, Lusheng (Jiangxi Agricultural University. National Key Laboratory for Pig Genetic Improvement and Production Technology) ; Megens, Hendrik-Jan (Wageningen University. Animal Breeding and Genomics)
2020 - 10.1186/s12711-020-00549-3
Genetics, selection, evolution, Vol. 52 (June 2020) . art. 30  
6.
2 p, 518.5 KB Breeding beyond genomics / Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica)
2021 - 10.1111/jbg.12547
Journal of animal breeding and genetics, 2021  
7.
14 p, 2.1 MB kernInt : A Kernel Framework for Integrating Supervised and Unsupervised Analyses in Spatio-Temporal Metagenomic Datasets / Ramon, Elies (Centre de Recerca en Agrigenòmica) ; Belanche-Muñoz, Lluís (Universitat Politècnica de Catalunya. Departament d'Informàtica) ; Molist, Francesc (Schothorst Feed Research) ; Quintanilla, Raquel (Institut de Recerca i Tecnologia Agroalimentàries) ; Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica) ; Ramayo-Caldas, Yuliaxis (Institut de Recerca i Tecnologia Agroalimentàries)
The advent of next-generation sequencing technologies allowed relative quantification of microbiome communities and their spatial and temporal variation. In recent years, supervised learning (i. e. , prediction of a phenotype of interest) from taxonomic abundances has become increasingly common in the microbiome field. [...]
2021 - 10.3389/fmicb.2021.609048
Frontiers in microbiology, Vol. 12 (January 2021) , art. 609048  
8.
11 p, 1.4 MB Whole-genome sequencing reveals insights into the adaptation of French Charolais cattle to Cuban tropical conditions / Ramírez-Ayala, Lino César (Centre de Recerca en Agrigenòmica) ; Rocha, Dominique (Institut national de la recherche agronomique. Génétique Animale et Biologie Intégrative) ; Ramos-Onsins, Sebastian (Centre de Recerca en Agrigenòmica) ; Leno Colorado, Jordi (Centre de Recerca en Agrigenòmica) ; Charles, Mathieu (Institut national de la recherche agronomique. Génétique Animale et Biologie Intégrative) ; Bouchez, Olivier (Institut National de la Recherche Agronomique (França)) ; Rodríguez Valera, Yoel (Universidad de Granma. Facultad de Ciencias Agropecuarias) ; Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica) ; Ramayo-Caldas, Yuliaxis (Institut de Recerca i Tecnologia Agroalimentàries)
In the early 20th century, Cuban farmers imported Charolais cattle (CHFR) directly from France. These animals are now known as Chacuba (CHCU) and have become adapted to the rough environmental tropical conditions in Cuba. [...]
2021 - 10.1186/s12711-020-00597-9
Genetics, selection, evolution, Vol. 53 (2021)  
9.
14 p, 1.9 MB Exploring deep learning for complex trait genomic prediction in polyploid outcrossing species / Zingaretti, Laura M. (Centre de Recerca en Agrigenòmica) ; Gezan, Salvador Alejandro (University of Florida. School of Forest Resources and Conservation (USA)) ; Ferrão, Luis Felipe V. (University of Florida. Horticultural Sciences Department (USA)) ; Osorio, Luis F. (University of Florida. IFAS Gulf Coast Research and Education Center (USA)) ; Monfort, Amparo (Centre de Recerca en Agrigenòmica) ; Muñoz, Patricio R. (University of Florida. Horticultural Sciences Department (USA)) ; Whitaker, Vance M. (University of Florida. IFAS Gulf Coast Research and Education Center (USA)) ; Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica)
Genomic prediction (GP) is the procedure whereby the genetic merits of untested candidates are predicted using genome wide marker information. Although numerous examples of GP exist in plants and animals, applications to polyploid organisms are still scarce, partly due to limited genome resources and the complexity of this system. [...]
2020 - 10.3389/fpls.2020.00025
Frontiers in plant science, Vol. 11 (February 2020) , art. 25  
10.
9 p, 1.0 MB Estimating conformational traits in dairy cattle with deepAPS : A two-step deep learning automated phenotyping and segmentation approach / Nye, Jessica (Centre de Recerca en Agrigenòmica) ; Zingaretti, Laura M. (Centre de Recerca en Agrigenòmica) ; Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica)
Assessing conformation features in an accurate and rapid manner remains a challenge in the dairy industry. While recent developments in computer vision has greatly improved automated background removal, these methods have not been fully translated to biological studies. [...]
2020 - 10.3389/fgene.2020.00513
Frontiers in genetics, Vol. 11 (May 2020) , art. 513  

Articles : 44 records found   1 - 10nextend  jump to record:
Research literature 7 records found  
1.
180 p, 5.0 MB Deep and shallow learning solutions for modern agriculture / Zingaretti, Laura M. ; Perez-Enciso, Miguel, dir. ; Monfort, Amparo, dir. ; Casillas Viladerrams, Sònia, dir.
L'agricultura moderna depèn àmpliament de l'ús de sofisticades eines informàtiques per analitzar dades massives, tant genotípiques com fenotípiques. La selecció genòmica (SG), que consisteix en predir característiques complexes utilitzant marcadors genètics d'ampli espectre, ha estat aprofitada pels milloradors de plantes i animals, al llarg de les últimes dècades, per produir un considerable augment del guany genètic, reduint el nombre de mostres a testar al camp. [...]
La agricultura moderna depende ampliamente del uso de sofisticadas herramientas informáticas para analizar datos masivos, tanto genotípicos como fenotípicos. La selección genómica (SG), que consiste en predecir rasgos complejos utilizando marcadores genéticos de amplio espectro, ha sido aprovechada por los mejoradores de plantas y animales a lo largo de las últimas décadas, para producir un considerable aumento de la ganancia genética, reduciendo el número de muestras a testear en el campo. [...]
Modern agriculture relies heavily on sophisticated computational tools that involve genomics and phenomics data at a large scale. As for genomics, over the past few decades, plant and animal breeders have taken advantage of genomic selection (GS), which is the breeding strategy that consists of predicting complex traits using genomic wide genetic markers. [...]

2021  
2.
241 p, 16.3 MB Kernel approaches for complex phenotype prediction / Ramon Gurrea, Elies ; Belanche Muñoz, Lluís A. (Lluís Antoni), dir. ; Perez-Enciso, Miguel, dir. ; Barbadilla Prados, Antonio, dir.
La relació entre fenotip i informació genotípica és considerablement intricada i complexa. Els mètodes d'aprenentatge automàtic s'han utilitzat amb èxit per a la predicció de fenotips en un gran ventall de problemes dins de la genètica i la genòmica. [...]
La relación entre fenotipo e información genotípica es considerablemente intrincada y compleja. Los métodos de aprendizaje automático (ML) se han utilizado con éxito para la predicción de fenotipos en una gran variedad de problemas dentro de la genética y la genómica. [...]
The relationship between phenotype and genotypic information is considerably intricate and complex. Machine Learning (ML) methods have been successfully used for phenotype prediction in a great range of problems within genetics and genomics. [...]

2020  
3.
223 p, 5.1 MB Effect of domestication in the pig genome / Leno Colorado, Jordi ; Perez-Enciso, Miguel, dir. ; Ramos Onsins, Sebastián E., dir. ; Cáceres Aguilar, Mario, dir. ; Universitat Autònoma de Barcelona. Departament de Genètica i de Microbiologia
La domesticación animal es un proceso realmente importante en la historia del hombre en el cual se seleccionaron diferentes rasgos de interés de los animales, como puede ser un crecimiento más rápido o una mayor docilidad. [...]
Animal domestication is an important process in the human history in which different traits of the animals were selected, such as faster growth or greater docility. To study domestication at the genetic level it is necessary to identify the markers related to this evolutionary process. [...]

[Barcelona] : Universitat Autònoma de Barcelona, 2019.  
4.
160 p, 3.3 MB Using genomewide polymorphisms to explore demography and feralization in the pig species / Bianco, Erica ; Perez-Enciso, Miguel, dir. ; Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments
The advent of next generation sequencing technologies has revolutionized the study of livestock genomics, such as in pigs. For instance, using genomic data it is possible to better understand wild boars demography and its impact on domestication. [...]
Bellaterra : Universitat Autònoma de Barcelona, 2015  
5.
155 p, 9.2 MB Ancestry and diversity of American village pigs / Burgos Paz, William Orlando ; Perez-Enciso, Miguel, dir. (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments) ; Ramos-Onsins, Sebastian, dir. (Centre de Recerca en Agrigenòmica) ; Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia
Los avances en las tecnologías de genotipado masivo están revolucionando la comprensión de los genomas de animales domésticos, incluyendo su historia y cómo los eventos demográficos y selectivos han dado forma a la variación de los genomas de los individuos. [...]
Advances in high throughput genetic technologies are revolutionizing the understanding of domestic animal genomes, including their history and how demography and selective processes have shaped the variation of individuals' genomes. [...]

[Barcelona] : Universitat Autònoma de Barcelona, 2014  
6.
213 p, 1.6 MB Characterization of the Iberian pig genome and transcriptome using high throughput sequencing / Esteve-Codina, Anna ; Perez-Enciso, Miguel, dir. (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments) ; Folch, Josep M, dir. (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments) ; Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments
En aquesta tesis, hem estudiat els patrons de variabilidad nucleotídica del genoma del porc per entendre millor quines forces evolutives l'han afectat. El porc domèstic és una espècie domèstica que presenta una gran variabilitat fenotípica arrel del procés de domesticació i de la formació de races moderna. [...]
[Barcelona] : Universitat Autònoma de Barcelona, 2014  
7.
182 p, 3.0 MB Dissecting the Genetic Basis of Pig Intramuscular Fatty Acid Composition / Ramayo-Caldas, Yuliaxis ; Folch, Josep M, dir. (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments) ; Perez-Enciso, Miguel, dir. (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments) ; Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments
El cerdo (Sus scrofa domestica) constituye una de las principales fuentes de carne para la humanidad, y es también un excelente modelo animal para el estudio de enfermedades metabólicas en humanos. [...]
Pigs (Sus scrofa) are relevance to humans, both as a source of food and as an animal model for scientific progress. Technological, nutritional and organoleptic properties of pork meat quality are highly dependent on lipid content and fatty acid (FA) composition. [...]

[Barcelona] : Universitat Autònoma de Barcelona, 2013  

See also: similar author names
7 Perez-Enciso, Miguel,
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