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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
05/11/2021 |
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Actualizado : |
05/11/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
REZENDE, S.; BANCHERO, S.; MIGUES, I.; CESIO, M.V.; RIVAS, F.; HEINZEN, H.; BESIL, M.N. |
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Afiliación : |
SOFÍA REZENDE, University of the Republic of Uruguay, Chemistry Department of Litoral, Paysandú, Uruguay; Technological University, Southwest Regional Technological Institute, Paysandú, Uruguay.; SABRINA BANCHERO, Technological University, Southwest Regional Technological Institute, Paysandú, Uruguay.; IGNACIO MIGUES, University of the Republic of Uruguay, Faculty of Chemistry, Montevideo, Uruguay.; MARÍA VERONICA CESIO, University of the Republic of Uruguay, Faculty of Chemistry, Montevideo, Uruguay.; CARLOS FERNANDO RIVAS GRELA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; HORACIO HEINZEN, University of the Republic of Uruguay, Faculty of Chemistry, Montevideo, Uruguay.; MARÍA NATALIA BESIL, University of the Republic of Uruguay, Chemistry Department of Litoral, Paysandú, Uruguay. |
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Título : |
Variability levels of selected amino acids among mandarins produced in Uruguay. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Ecletica Quimica, 2021, Volume 46, Issue 4, Pages 47-59. Gold Open Access. doi: https://doi.org/10.26850/1678-4618eqj.v46.4.2021.p47-59 |
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ISSN : |
0100-4670 (print); 1678-4618 (electronic) |
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DOI : |
10.26850/1678-4618eqj.v46.4.201.p47-59 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: July 27, 2020; Accepted: July 16, 2021; Published: October 01, 2021.
Section Editor: Assis Vicente Benedetti.
Corresponding author: María Natalia Besil. Email address: nbesil@fq.edu.uy |
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Contenido : |
ABSTRACT.- Nutraceutical properties of mandarins are of great interest to promote their consumption. The occurrence of free amino acids in foods is relevant to assess the nutritional value of it. To learn more about the amino acids' occurrence and variability between species, a targeted metabolomics study in 'Ellendale', 'Willowleaf' and 'Page' varieties was performed through ion exchange liquid chromatography coupled to tandem mass spectrometry. The studied amino acids were asparagine, glutamic acid, glutamine, histidine, methionine, phenylalanine, proline, threonine and tyrosine. The difference between two consecutive seasons was evaluated, as well as the influence of fruit maturity of 'Page' collected in two periods of 2015. The analytical methodology was validated. The concentration of the compounds through principal component analysis, separated well apart the three cultivars in both harvests, showing a particular profile for each of them. When comparing mature and immature cultivar 'Page', the amino acids with higher levels in mature samples were histidine, asparagine, glutamine and glutamic acid. The profiles were different due to genetic diversity, and the climatic conditions. These results add value to citric production. © 2021 Atlantis Livros Ltda.. All rights reserved. |
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Palabras claves : |
Amino acids; High performance liquid chromatography-mass spectrometry; Mandarins; Nutraceuticals. |
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Thesagro : |
CITRUS. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
https://revista.iq.unesp.br/ojs/index.php/ecletica/article/download/1206/1208
https://revista.iq.unesp.br/ojs/index.php/ecletica/article/view/1206
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Marc : |
LEADER 02454naa a2200289 a 4500
001 1062516
005 2021-11-05
008 2021 bl uuuu u00u1 u #d
022 $a0100-4670 (print); 1678-4618 (electronic)
024 7 $a10.26850/1678-4618eqj.v46.4.201.p47-59$2DOI
100 1 $aREZENDE, S.
245 $aVariability levels of selected amino acids among mandarins produced in Uruguay.$h[electronic resource]
260 $c2021
500 $aArticle history: Received: July 27, 2020; Accepted: July 16, 2021; Published: October 01, 2021. Section Editor: Assis Vicente Benedetti. Corresponding author: María Natalia Besil. Email address: nbesil@fq.edu.uy
520 $aABSTRACT.- Nutraceutical properties of mandarins are of great interest to promote their consumption. The occurrence of free amino acids in foods is relevant to assess the nutritional value of it. To learn more about the amino acids' occurrence and variability between species, a targeted metabolomics study in 'Ellendale', 'Willowleaf' and 'Page' varieties was performed through ion exchange liquid chromatography coupled to tandem mass spectrometry. The studied amino acids were asparagine, glutamic acid, glutamine, histidine, methionine, phenylalanine, proline, threonine and tyrosine. The difference between two consecutive seasons was evaluated, as well as the influence of fruit maturity of 'Page' collected in two periods of 2015. The analytical methodology was validated. The concentration of the compounds through principal component analysis, separated well apart the three cultivars in both harvests, showing a particular profile for each of them. When comparing mature and immature cultivar 'Page', the amino acids with higher levels in mature samples were histidine, asparagine, glutamine and glutamic acid. The profiles were different due to genetic diversity, and the climatic conditions. These results add value to citric production. © 2021 Atlantis Livros Ltda.. All rights reserved.
650 $aCITRUS
653 $aAmino acids
653 $aHigh performance liquid chromatography-mass spectrometry
653 $aMandarins
653 $aNutraceuticals
700 1 $aBANCHERO, S.
700 1 $aMIGUES, I.
700 1 $aCESIO, M.V.
700 1 $aRIVAS, F.
700 1 $aHEINZEN, H.
700 1 $aBESIL, M.N.
773 $tEcletica Quimica, 2021, Volume 46, Issue 4, Pages 47-59. Gold Open Access. doi: https://doi.org/10.26850/1678-4618eqj.v46.4.2021.p47-59
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INIA Las Brujas (LB) |
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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
12/12/2017 |
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Actualizado : |
12/12/2017 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
LADO, B.; BATTENFIELD, S.; SILVA, P.; QUINCKE, M.; GUZMAN, C.; SINGH, R.P.; DREISIGACKER, S.; PEÑA, J.; FRITZ, A.; POLAND, J.; GUTIERREZ, L. |
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Afiliación : |
BETTINA LADO, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay.; SARAH BATTENFIELD, AgriPro Wheat, Syngenta, 11783 Ascher Rd. Junction City, KS, 66441, USA.; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS GUZMAN, CIMMYT, El Batan, Mexico, Mexico.; RAVI P. SINGH, CIMMYT, El Batan, Mexico, Mexico.; SUSANNE DREISIGACKER, CIMMYT, El Batan, Mexico, Mexico.; JAVIER PEÑA, CIMMYT, El Batan, Mexico, Mexico.; ALLAN FRITZ, Wheat Genetics Resource Center, Department of Plant Pathology, 1712 Claflin Rd., Kansas State University, Manhattan, KS 66506, USA; .; JESSE POLAND, Wheat Genetics Resource Center, Department of Plant Pathology, 1712 Claflin Rd., Kansas State University, Manhattan, KS 66506, USA.; LUCIA GUTIERREZ, Department of Agronomy, University of Wisconsin, 1575 Linden Dr., Madison, WI 53706, USA. |
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Título : |
Comparing strategies to select crosses using genomic prediction in two wheat breeding programs. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
In: International Wheat Genetics Symposium, 12, Tulln, Austria; April 23-28, 2017; BOKU: University of Natural Resources and Life Sciences, Vienna, Austria. |
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Páginas : |
p.88-90. |
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Idioma : |
Español |
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Contenido : |
Key message: Evaluation of crosses prediction methods with and without accounting for progeny variance. Mid-parent values was a much larger factor determining genetic gain than increasing the progeny variance of a cross.
In wheat breeding programs, a critical decision is to determine crosses that have high probability to deliver progenies with higher genetics gains (Zhong & Jannink 2007, Bernardo 2014). We present an application of genomic models for predicting parental cross combinations for grain yield, grain protein, and loaf volume across two wheat-breeding programs, INIA-Uruguay and CIMMYT. We evaluated three methods for selecting the ?best? crosses based on (1) mid-parents, (2) top 10% of the progeny within a cross, and (3) maximizing mean and variance within progeny using thresholds. The last two methods were evaluated with the predicted variances obtained through progeny simulation using the PopVar (Mohammadi et al. 2015, Tiede et al. 2015) package in R software. The first two methods showed 82% of crosses in common for yield, 55% for loaf volume and 53% for grain protein, even though only the second method accounts for the variance of the progeny (Figure 1). While the expected variance of the progeny is important to increase chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses selected was a much larger factor determining genetic gain than increasing the progeny variance of a cross (Figure 2). Overall, the genomic resources and the statistical models are now available to plant breeders to predict both the performance of breeding lines per se as well as the value of progeny from any potential crosses, but further understanding on optimizing the cross combinations is needed. MenosKey message: Evaluation of crosses prediction methods with and without accounting for progeny variance. Mid-parent values was a much larger factor determining genetic gain than increasing the progeny variance of a cross.
In wheat breeding programs, a critical decision is to determine crosses that have high probability to deliver progenies with higher genetics gains (Zhong & Jannink 2007, Bernardo 2014). We present an application of genomic models for predicting parental cross combinations for grain yield, grain protein, and loaf volume across two wheat-breeding programs, INIA-Uruguay and CIMMYT. We evaluated three methods for selecting the ?best? crosses based on (1) mid-parents, (2) top 10% of the progeny within a cross, and (3) maximizing mean and variance within progeny using thresholds. The last two methods were evaluated with the predicted variances obtained through progeny simulation using the PopVar (Mohammadi et al. 2015, Tiede et al. 2015) package in R software. The first two methods showed 82% of crosses in common for yield, 55% for loaf volume and 53% for grain protein, even though only the second method accounts for the variance of the progeny (Figure 1). While the expected variance of the progeny is important to increase chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses selected was a much larger factor determining genetic gain than increasing the progeny variance of a cross (Figure 2)... Presentar Todo |
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Palabras claves : |
WHEAT BREEDING PROGRAMS; WHEAT QUALITY. |
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Thesagro : |
MEJORAMIENTO GENETICO DE PLANTAS; TRIGO. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 02689nam a2200289 a 4500
001 1057873
005 2017-12-12
008 2017 bl uuuu u01u1 u #d
100 1 $aLADO, B.
245 $aComparing strategies to select crosses using genomic prediction in two wheat breeding programs.
260 $aIn: International Wheat Genetics Symposium, 12, Tulln, Austria; April 23-28, 2017; BOKU: University of Natural Resources and Life Sciences, Vienna, Austria.$c2017
300 $ap.88-90.
520 $aKey message: Evaluation of crosses prediction methods with and without accounting for progeny variance. Mid-parent values was a much larger factor determining genetic gain than increasing the progeny variance of a cross. In wheat breeding programs, a critical decision is to determine crosses that have high probability to deliver progenies with higher genetics gains (Zhong & Jannink 2007, Bernardo 2014). We present an application of genomic models for predicting parental cross combinations for grain yield, grain protein, and loaf volume across two wheat-breeding programs, INIA-Uruguay and CIMMYT. We evaluated three methods for selecting the ?best? crosses based on (1) mid-parents, (2) top 10% of the progeny within a cross, and (3) maximizing mean and variance within progeny using thresholds. The last two methods were evaluated with the predicted variances obtained through progeny simulation using the PopVar (Mohammadi et al. 2015, Tiede et al. 2015) package in R software. The first two methods showed 82% of crosses in common for yield, 55% for loaf volume and 53% for grain protein, even though only the second method accounts for the variance of the progeny (Figure 1). While the expected variance of the progeny is important to increase chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses selected was a much larger factor determining genetic gain than increasing the progeny variance of a cross (Figure 2). Overall, the genomic resources and the statistical models are now available to plant breeders to predict both the performance of breeding lines per se as well as the value of progeny from any potential crosses, but further understanding on optimizing the cross combinations is needed.
650 $aMEJORAMIENTO GENETICO DE PLANTAS
650 $aTRIGO
653 $aWHEAT BREEDING PROGRAMS
653 $aWHEAT QUALITY
700 1 $aBATTENFIELD, S.
700 1 $aSILVA, P.
700 1 $aQUINCKE, M.
700 1 $aGUZMAN, C.
700 1 $aSINGH, R.P.
700 1 $aDREISIGACKER, S.
700 1 $aPEÑA, J.
700 1 $aFRITZ, A.
700 1 $aPOLAND, J.
700 1 $aGUTIERREZ, L.
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