Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Fernandez, Carlos

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Robert Gordon University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (14/14 displayed)

  • 2024Acoustic emission wave propagation in pipeline sections and analysis of the effect of coating and sensor location.2citations
  • 2022Application of Thermal Spray Coatings in Electrolysers for Hydrogen Production24citations
  • 2022Effect of Biosynthesized Silver Nanoparticles on Bacterial Biofilm Changes in S. aureus and E. coli44citations
  • 2022A bench-scale electrochemical peroxidation reactor performance on removal of organic pollutants from tannery industrial wastewater.citations
  • 2022Application of thermal spray coatings in electrolysers for hydrogen production: advances, challenges, and opportunities.24citations
  • 2022Application of thermal spray coatings in electrolysers for hydrogen production: advances, challenges, and opportunities24citations
  • 2022Impact of chitin nanofibers and nanocrystals from waste shrimp shells on mechanical properties, setting time, and late-age hydration of mortar10citations
  • 2022Application of Thermal Spray Coatings in Electrolysers for Hydrogen Production : Advances, Challenges, and Opportunities24citations
  • 2020Associations Between IGF1, IGFBP2 and TGFß3 Genes Polymorphisms and Growth Performance of Broiler Chicken Lines27citations
  • 2019Highly enhanced electrochemical performance of novel based electrode materials for supercapacitor applications: an overview.6citations
  • 2018Ruthenium oxide-carbon-based nanofiller-reinforced conducting polymer nanocomposites and their supercapacitor applications.27citations
  • 2017Tungsten-molybdenum oxide nanowires/reduced graphene oxide nanocomposite with enhanced and durable performance for electrocatalytic hydrogen evolution reaction.39citations
  • 2017Enhanced and durable electrocatalytic performance of thin layer PtRu bimetallic alloys on Pd-nanocubes for methanol oxidation reactions.21citations
  • 2017Electrocatalytic properties of La1-xCuxCoO3 (0 ≤ x ≤ 0.8) film electrodes prepared by Malic Acid sol-gel method at pH=3.75.9citations

Places of action

Chart of shared publication
Rajendran, Vinooth
5 / 8 shared
Faisal, Nadimul
1 / 8 shared
Prathuru, Anil
5 / 17 shared
Faisal, Nadimul Haque
4 / 24 shared
Ahmed, Rehan
4 / 10 shared
Thanganadar, Dhinesh
4 / 4 shared
Kurushina, Victoria
4 / 5 shared
Liu, Yuheng
4 / 5 shared
Joshi, Shrikant
3 / 10 shared
Cai, Qiong
4 / 7 shared
Govindarajan, Sivakumar
4 / 5 shared
Katiyar, Nirmal Kumar
4 / 7 shared
Hossain, Mamdud
4 / 9 shared
Horri, Bahman Amini
3 / 5 shared
Venkatachalapathy, Viswanathan
4 / 5 shared
Sodhi, Gurpreet Singh
4 / 4 shared
Li, Jing
4 / 14 shared
Patchigolla, Kumar
4 / 4 shared
Katikaneni, Sai
4 / 4 shared
Bn, Vedha Hari
1 / 1 shared
Hosnedlova, Bozena
2 / 2 shared
Kepinska, Marta
1 / 1 shared
Jakubek, Milan
1 / 2 shared
Kizek, Rene
2 / 2 shared
Farid, Awais
1 / 2 shared
Nguyen, Hoai Viet
1 / 1 shared
Bjørklund, Geir
1 / 1 shared
Sochor, Jiri
1 / 1 shared
Kabanov, Daniil
1 / 1 shared
Pholosi, Agnes
1 / 1 shared
Baron, Mojmir
1 / 1 shared
Gopal, Selvabharathi
1 / 1 shared
Jeyakumar, Rajesh Banu
1 / 1 shared
Somanathan, Adishkumar
1 / 1 shared
Goel, Saurav
3 / 50 shared
Amini Horri, Bahman
1 / 2 shared
Wolcott, Michael
1 / 1 shared
Jian, Guoqing
1 / 1 shared
Nassiri, Somayeh
1 / 3 shared
Haider, Md. Mostofa
1 / 1 shared
Li, Hui
1 / 9 shared
Joshi, Shrikant V.
1 / 34 shared
Vernerova, Katerina
1 / 1 shared
Curn, Vladislav
1 / 1 shared
Bozzi, Riccardo
1 / 1 shared
Kadlec, Jaromir
1 / 1 shared
Horna, Hana
1 / 1 shared
Machander, Vlastislav
1 / 1 shared
Kouba, Frantisek
1 / 1 shared
Rani, Selvarajan Divya
1 / 2 shared
Gajendran, Pandi
1 / 1 shared
Raju, Ganapathy
1 / 1 shared
Baskar, Thangaraj
1 / 1 shared
Chen, Shen-Ming
1 / 8 shared
Jeyapragasam, Tharini
1 / 2 shared
Ramachandran, Rasu
1 / 2 shared
Raja, Paulsamy
1 / 1 shared
Chen, Tse-Wei
1 / 3 shared
Ates, Murat
1 / 1 shared
Yousaf, Ammar Bin
2 / 3 shared
Imran, M.
2 / 10 shared
Zaidi, Syed Javaid
2 / 5 shared
Zavahir, Fathima Sifani
1 / 1 shared
Kasak, Peter
1 / 4 shared
Yadav, M. K.
1 / 2 shared
Singh, N. K.
1 / 6 shared
Chart of publication period
2024
2022
2020
2019
2018
2017

Co-Authors (by relevance)

  • Rajendran, Vinooth
  • Faisal, Nadimul
  • Prathuru, Anil
  • Faisal, Nadimul Haque
  • Ahmed, Rehan
  • Thanganadar, Dhinesh
  • Kurushina, Victoria
  • Liu, Yuheng
  • Joshi, Shrikant
  • Cai, Qiong
  • Govindarajan, Sivakumar
  • Katiyar, Nirmal Kumar
  • Hossain, Mamdud
  • Horri, Bahman Amini
  • Venkatachalapathy, Viswanathan
  • Sodhi, Gurpreet Singh
  • Li, Jing
  • Patchigolla, Kumar
  • Katikaneni, Sai
  • Bn, Vedha Hari
  • Hosnedlova, Bozena
  • Kepinska, Marta
  • Jakubek, Milan
  • Kizek, Rene
  • Farid, Awais
  • Nguyen, Hoai Viet
  • Bjørklund, Geir
  • Sochor, Jiri
  • Kabanov, Daniil
  • Pholosi, Agnes
  • Baron, Mojmir
  • Gopal, Selvabharathi
  • Jeyakumar, Rajesh Banu
  • Somanathan, Adishkumar
  • Goel, Saurav
  • Amini Horri, Bahman
  • Wolcott, Michael
  • Jian, Guoqing
  • Nassiri, Somayeh
  • Haider, Md. Mostofa
  • Li, Hui
  • Joshi, Shrikant V.
  • Vernerova, Katerina
  • Curn, Vladislav
  • Bozzi, Riccardo
  • Kadlec, Jaromir
  • Horna, Hana
  • Machander, Vlastislav
  • Kouba, Frantisek
  • Rani, Selvarajan Divya
  • Gajendran, Pandi
  • Raju, Ganapathy
  • Baskar, Thangaraj
  • Chen, Shen-Ming
  • Jeyapragasam, Tharini
  • Ramachandran, Rasu
  • Raja, Paulsamy
  • Chen, Tse-Wei
  • Ates, Murat
  • Yousaf, Ammar Bin
  • Imran, M.
  • Zaidi, Syed Javaid
  • Zavahir, Fathima Sifani
  • Kasak, Peter
  • Yadav, M. K.
  • Singh, N. K.
OrganizationsLocationPeople

article

Associations Between IGF1, IGFBP2 and TGFß3 Genes Polymorphisms and Growth Performance of Broiler Chicken Lines

  • Fernandez, Carlos
  • Kizek, Rene
  • Vernerova, Katerina
  • Curn, Vladislav
  • Hosnedlova, Bozena
  • Bozzi, Riccardo
  • Kadlec, Jaromir
  • Horna, Hana
  • Machander, Vlastislav
  • Kouba, Frantisek
Abstract

<jats:p>Marker-assisted selection based on fast and accurate molecular analysis of individual genes is considered an acceptable tool in the speed-up of the genetic improvement of production performance in chickens. The objective of this study was to detect the single nucleotide polymorphisms (SNPs) in the IGF1, IGFBP2 and TGFß3 genes, and to investigate their associations with growth performance (body weight (BW) and average daily gain (ADG) at 14, 21, 28, 35 and 42 days of age) and carcass traits in broilers. Performance (carcass) data (weight before slaughter; weights of the trunk, giblets, abdominal fat, breast muscle and thigh muscle; slaughter value and slaughter percentage), as well as blood samples for DNA extraction and SNP analysis, were obtained from 97 chickens belonging to two different lines (Hubbard F15 and Cobb E) equally divided between the two sexes. The genotypes were detected using polymerase chain reaction- restriction fragment length polymorphism (PCR-RFLP) methods with specific primers and restrictase for each gene. The statistical analysis discovered significant associations (p &lt; 0.05) between the TGFβ3 SNP and the following parameters: BW at 21, 28 and 35 days, trunk weight and slaughter value. Association analysis of BWs (at 21, 28 and 35 days) and SNPs was always significant for codominant, dominant and overdominant genetic models, showing a possible path for genomic selection in these chicken lines. Slaughter value was significant for codominant, recessive and overdominant patterns, whereas other carcass traits were not influenced by SNPs. Based on the results of this study, we suggested that the TGFβ3 gene could be used as a candidate gene marker for chicken growth traits in the Hubbard F15 and Cobb E population selection programs, whereas for carcass traits further investigation is needed.</jats:p>

Topics
  • impedance spectroscopy
  • extraction