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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
24/02/2022 |
Actualizado : |
24/02/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
GÁMBARO, A.; ROASCIO, A.; HODOS, N.; MIGUES, I.; LADO, J.; HEINZEN, H.; RIVAS, F. |
Afiliación : |
ADRIANA GÁMBARO, Sensory Evaluation Laboratory, Department of Food Science and Technology. School of Chemistry, Universidad de la República (UdelaR), General Flores, Montevideo, 2124, Uruguay; ANTONELLA ROASCIO, Sensory Evaluation Laboratory, Department of Food Science and Technology. School of Chemistry, Universidad de la República (UdelaR), General Flores, Montevideo, 2124, Uruguay; NATALIA HODOS, Sensory Evaluation Laboratory, Department of Food Science and Technology. School of Chemistry, Universidad de la República (UdelaR), General Flores, Montevideo, 2124, Uruguay; IGNACIO MIGUES, Pharmacognosy and Natural Products Laboratory. School of Chemistry, Universidad de la República (UdelaR), Uruguay; JOANNA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; HORACIO HEINZEN, Pharmacognosy and Natural Products Laboratory. School of Chemistry, Universidad de la República (UdelaR), Uruguay; CARLOS FERNANDO RIVAS GRELA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
The impact of sensory attributes of mandarins on consumer perception and preferences. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
Journal of Agriculture and Food Research, December 2021, volume 6, article 100196. OPEN ACCESS. doi: https://doi.org/10.1016/j.jafr.2021.100196 |
ISSN : |
2666-1543 |
DOI : |
10.1016/j.jafr.2021.100196 |
Idioma : |
Inglés |
Notas : |
Article history: Received 20 November 2020, Revised 28 June 2021, Accepted 14 August 2021, Available online 19 August 2021, Version of Record 2 September 2021.
Corresponding author: Gámbaro, A.; General Flores, Uruguay; email:agambaro@fq.edu.uy --
Incluye Supplementary material: https://ars.els-cdn.com/content/image/1-s2.0-S2666154321000983-mmc1.docx |
Contenido : |
ABSTRACT.- Although the sensory characterization of mandarins has usually been performed by trained assessors, in recent years, the methodologies that depict sensory descriptions from the perception of consumers, such as the check-all-that-apply (CATA) questionnaires have become very popular. In this work, an exploratory study was first carried out using a focus group (FG) technique to determine attributes and aspects that influence the decision to purchase mandarins. Secondly, the consumer panel recruited 100 regular mandarin consumers that were randomly divided into two groups. Group "A" received segments of 15 mandarins. Group "B", instead of receiving the same mandarins in segments, they received them as a whole fruit having to peel them by themselves. Both groups evaluated the total acceptability with a 9-point hedonic scale and answered a CATA questionnaire composed of 38 terms for Group "A" and 52 terms for Group "B". Although the consumers in the FG described an "ideal? mandarin as easy-to-peel, no significant difference (p > 0.05) was found in the acceptability between groups "A" and "B". Characteristics such as sweet, very sweet, fresh smell, sweet smell, bright, fruity taste, fresh flavor, typical flavor, balanced taste and nice flavor were strongly and positively correlated with overall consumers? acceptance. These descriptors could be considered the sensory drivers of the liking of mandarins. © 2021 |
Palabras claves : |
CATA questionnaire; Consumer; Mandarins; PLATAFORMA AGROALIMENTOS; Sensory Evaluation;; Sensory profile. |
Thesagro : |
MANDARINAS. |
Asunto categoría : |
F01 Cultivo |
URL : |
https://www.sciencedirect.com/science/article/pii/S2666154321000983/pdfft?md5=31db96c18712373f07f1744a3be031eb&pid=1-s2.0-S2666154321000983-main.pdf
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Marc : |
LEADER 02738naa a2200313 a 4500 001 1062769 005 2022-02-24 008 2021 bl uuuu u00u1 u #d 022 $a2666-1543 024 7 $a10.1016/j.jafr.2021.100196$2DOI 100 1 $aGÁMBARO, A. 245 $aThe impact of sensory attributes of mandarins on consumer perception and preferences.$h[electronic resource] 260 $c2021 500 $aArticle history: Received 20 November 2020, Revised 28 June 2021, Accepted 14 August 2021, Available online 19 August 2021, Version of Record 2 September 2021. Corresponding author: Gámbaro, A.; General Flores, Uruguay; email:agambaro@fq.edu.uy -- Incluye Supplementary material: https://ars.els-cdn.com/content/image/1-s2.0-S2666154321000983-mmc1.docx 520 $aABSTRACT.- Although the sensory characterization of mandarins has usually been performed by trained assessors, in recent years, the methodologies that depict sensory descriptions from the perception of consumers, such as the check-all-that-apply (CATA) questionnaires have become very popular. In this work, an exploratory study was first carried out using a focus group (FG) technique to determine attributes and aspects that influence the decision to purchase mandarins. Secondly, the consumer panel recruited 100 regular mandarin consumers that were randomly divided into two groups. Group "A" received segments of 15 mandarins. Group "B", instead of receiving the same mandarins in segments, they received them as a whole fruit having to peel them by themselves. Both groups evaluated the total acceptability with a 9-point hedonic scale and answered a CATA questionnaire composed of 38 terms for Group "A" and 52 terms for Group "B". Although the consumers in the FG described an "ideal? mandarin as easy-to-peel, no significant difference (p > 0.05) was found in the acceptability between groups "A" and "B". Characteristics such as sweet, very sweet, fresh smell, sweet smell, bright, fruity taste, fresh flavor, typical flavor, balanced taste and nice flavor were strongly and positively correlated with overall consumers? acceptance. These descriptors could be considered the sensory drivers of the liking of mandarins. © 2021 650 $aMANDARINAS 653 $aCATA questionnaire 653 $aConsumer 653 $aMandarins 653 $aPLATAFORMA AGROALIMENTOS 653 $aSensory Evaluation; 653 $aSensory profile 700 1 $aROASCIO, A. 700 1 $aHODOS, N. 700 1 $aMIGUES, I. 700 1 $aLADO, J. 700 1 $aHEINZEN, H. 700 1 $aRIVAS, F. 773 $tJournal of Agriculture and Food Research, December 2021, volume 6, article 100196. OPEN ACCESS. doi: https://doi.org/10.1016/j.jafr.2021.100196
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INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
31/07/2018 |
Actualizado : |
11/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
DOSTER, E.; ROVIRA, P.J.; NOYES, N.R.; BURGESS, B. A.; YANG, X.; WEINROTH, M.D.; LAKIN, S.M.; DEAN, C.J.; LINKE, L.; MAGNUSON, R.; JONES, K.I.; BOUCHER, C.; RUIZ, J.; BELK, K.E.; MORLEY, P.S. |
Afiliación : |
ENRIQUE DOSTER, Microbial Ecology Group, Colorado State University, USA. Department of Microbiology, Inmunology and Pathology, Colorado State University. USA.; PABLO JUAN ROVIRA SANZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Microbial Ecology Group, Colorado State University. Department of Microbiology, Imnunology and Pathology, Colorado State University, USA.; NOELLE R. NOYES., Microbial Ecology Group, Colorado State University. Department of Veterinary Population Medicine, University of Minnesota.; BRANDY A. BURGESS, Department of Population Health, University of Georgia, USA.; XIANG YANG, Microbial Ecology Group, Colorado State University. Department of Animal Sciences, Colorado State University, USA.; MARGARET D. WEINROTH, Microbial Ecology Group, Colorado State University. Department of Animal Sciences, Colorado State University, USA.; STEVEN M. LAKIN, Microbial Ecology Group, Colorado State University. Department of Microbiology, Immunology and Pathology, Colorado State University, USA.; CHRISTOPHER J. DEAN, Microbial Ecology Group, Colorado State University. Department of Microbiology, Immunology and Pathology, Colorado State University, USA.; LYNDSEY LINKE, Department of Clinical Sciences, Colorado State University, USA.; ROBERTA MAGNUSON, Department of Clinical Sciences, Colorado State University, USA.; KENNETH I. JONES, Department of Biochemistry and Molecular Genetics, University of Colorado, USA.; CHRISTINA BOUCHER, Department of Computer and Information Science and Engineering, University of Florida, USA.; JAMIE RUIZ, Department of Computer and Information Science and Engineering, University of Florida, USA.; KEITH E. BELK, Microbial Ecology Group, Colorado State University. Department of Microbiology, Imnunology and Pathology, Colorado State University, USA.; PAUL S. MORLEY, Microbial Ecology Group, Colorado State University, USA. Department of Microbiology, Inmunology and Pathology, Colorado State University. USA. |
Título : |
Investigating effects of tulathromycin metaphylaxis on the fecal resistome and microbiome of commercial feedlot cattle early in the feeding period. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
Frontier in Microbiology, 2018, 9:1715. |
Páginas : |
14 p. |
DOI : |
10.3389/fmicb.2018.01715 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 14 April 2018; Accepted: 09 July 2018; Published: 30 July 2018.
Open Access journal.
https://doi.org/10.3389/fmicb.2018.01715 |
Contenido : |
The objective was to examine effects of treating commercial beef feedlot cattle with therapeutic doses of tulathromycin, a macrolide antimicrobial drug, on changes in the fecal resistome and microbiome using shotgun metagenomic sequencing. Two pens of cattle were used, with all cattle in one pen receiving metaphylaxis treatment (800 mg subcutaneous tulathromycin) at arrival to the feedlot, and all cattle in the other pen remaining unexposed to parenteral antibiotics throughout the study period. Fecal samples were collected from 15 selected cattle in each group just prior to treatment (Day 1), and again 11 days later (Day 11). Shotgun sequencing was performed on isolated metagenomic DNA, and reads were aligned to a resistance and a taxonomic database to identify alignments to antimicrobial resistance (AMR) gene accessions and microbiome content. Overall, we identified AMR genes accessions encompassing 9 classes of AMR drugs and encoding 24 unique AMR mechanisms. Statistical analysis was used to identify differences in the resistome and microbiome between the untreated and treated groups at both timepoints, as well as over time. Based on composition and ordination analyses, the resistome and microbiome were not significantly different between the two groups on Day 1 or on Day 11. However, both the resistome and microbiome changed significantly between these two sampling dates. These results indicate that the transition into the feedlot?and associated changes in diet, geography, conspecific exposure, and environment?may exert a greater influence over the fecal resistome and microbiome of feedlot cattle than common metaphylactic antimicrobial drug treatment. MenosThe objective was to examine effects of treating commercial beef feedlot cattle with therapeutic doses of tulathromycin, a macrolide antimicrobial drug, on changes in the fecal resistome and microbiome using shotgun metagenomic sequencing. Two pens of cattle were used, with all cattle in one pen receiving metaphylaxis treatment (800 mg subcutaneous tulathromycin) at arrival to the feedlot, and all cattle in the other pen remaining unexposed to parenteral antibiotics throughout the study period. Fecal samples were collected from 15 selected cattle in each group just prior to treatment (Day 1), and again 11 days later (Day 11). Shotgun sequencing was performed on isolated metagenomic DNA, and reads were aligned to a resistance and a taxonomic database to identify alignments to antimicrobial resistance (AMR) gene accessions and microbiome content. Overall, we identified AMR genes accessions encompassing 9 classes of AMR drugs and encoding 24 unique AMR mechanisms. Statistical analysis was used to identify differences in the resistome and microbiome between the untreated and treated groups at both timepoints, as well as over time. Based on composition and ordination analyses, the resistome and microbiome were not significantly different between the two groups on Day 1 or on Day 11. However, both the resistome and microbiome changed significantly between these two sampling dates. These results indicate that the transition into the feedlot?and associated changes in diet, geography... Presentar Todo |
Palabras claves : |
METAGENOMICS; METAPHYLAXIS; MICROBIOME; RESISTOME; TULATHROMYCIN. |
Thesagro : |
BOVINOS; FEEDLOT. |
Asunto categoría : |
L73 Enfermedades de los animales |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/10933/1/fmicb-09-01715.pdf
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Marc : |
LEADER 02931naa a2200409 a 4500 001 1058855 005 2019-10-11 008 2018 bl uuuu u00u1 u #d 024 7 $a10.3389/fmicb.2018.01715$2DOI 100 1 $aDOSTER, E. 245 $aInvestigating effects of tulathromycin metaphylaxis on the fecal resistome and microbiome of commercial feedlot cattle early in the feeding period.$h[electronic resource] 260 $c2018 300 $a14 p. 500 $aArticle history: Received: 14 April 2018; Accepted: 09 July 2018; Published: 30 July 2018. Open Access journal. https://doi.org/10.3389/fmicb.2018.01715 520 $aThe objective was to examine effects of treating commercial beef feedlot cattle with therapeutic doses of tulathromycin, a macrolide antimicrobial drug, on changes in the fecal resistome and microbiome using shotgun metagenomic sequencing. Two pens of cattle were used, with all cattle in one pen receiving metaphylaxis treatment (800 mg subcutaneous tulathromycin) at arrival to the feedlot, and all cattle in the other pen remaining unexposed to parenteral antibiotics throughout the study period. Fecal samples were collected from 15 selected cattle in each group just prior to treatment (Day 1), and again 11 days later (Day 11). Shotgun sequencing was performed on isolated metagenomic DNA, and reads were aligned to a resistance and a taxonomic database to identify alignments to antimicrobial resistance (AMR) gene accessions and microbiome content. Overall, we identified AMR genes accessions encompassing 9 classes of AMR drugs and encoding 24 unique AMR mechanisms. Statistical analysis was used to identify differences in the resistome and microbiome between the untreated and treated groups at both timepoints, as well as over time. Based on composition and ordination analyses, the resistome and microbiome were not significantly different between the two groups on Day 1 or on Day 11. However, both the resistome and microbiome changed significantly between these two sampling dates. These results indicate that the transition into the feedlot?and associated changes in diet, geography, conspecific exposure, and environment?may exert a greater influence over the fecal resistome and microbiome of feedlot cattle than common metaphylactic antimicrobial drug treatment. 650 $aBOVINOS 650 $aFEEDLOT 653 $aMETAGENOMICS 653 $aMETAPHYLAXIS 653 $aMICROBIOME 653 $aRESISTOME 653 $aTULATHROMYCIN 700 1 $aROVIRA, P.J. 700 1 $aNOYES, N.R. 700 1 $aBURGESS, B. A. 700 1 $aYANG, X. 700 1 $aWEINROTH, M.D. 700 1 $aLAKIN, S.M. 700 1 $aDEAN, C.J. 700 1 $aLINKE, L. 700 1 $aMAGNUSON, R. 700 1 $aJONES, K.I. 700 1 $aBOUCHER, C. 700 1 $aRUIZ, J. 700 1 $aBELK, K.E. 700 1 $aMORLEY, P.S. 773 $tFrontier in Microbiology, 2018, 9:1715.
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