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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
29/09/2014 |
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Actualizado : |
01/06/2018 |
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Tipo de producción científica : |
Documentos |
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Autor : |
RICCETTO, S.; CAPURRO, M.C.; MARTINEZ, S.; ROEL, A. |
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Afiliación : |
SARA MAGDALENA RICCETTO AGUIRREZABALA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; MARIA CRISTINA CAPURRO BAZZANO, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; SEBASTIAN MARTINEZ KOPP, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; ALVARO ROEL DELLAZOPPA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Efecto del momento de retiro del agua y momento de cosecha en las variedades Parao y El Paso 144. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
En: INIA TREINTA Y TRES. Arroz-Soja: Resultados Experimentales 2013-2014. Treinta y Tres (UY): INIA Treinta y Tres. |
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Páginas : |
cap.2. p. 1-3 |
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Serie : |
(INIA Serie Actividades de Difusión; 735) |
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ISSN : |
1688-9258 |
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Idioma : |
Español |
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Thesagro : |
ARROZ; EL PASO 144; PARAO; RETIRO DE AGUA; RIEGO. |
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Asunto categoría : |
F06 Riego |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/4008/1/Ad-735-2Riego-1-3.pdf
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Marc : |
LEADER 00765naa a2200241 a 4500
001 1050628
005 2018-06-01
008 2014 bl uuuu u00u1 u #d
022 $a1688-9258
100 1 $aRICCETTO, S.
245 $aEfecto del momento de retiro del agua y momento de cosecha en las variedades Parao y El Paso 144.$h[electronic resource]
260 $c2014
300 $acap.2. p. 1-3
490 $a(INIA Serie Actividades de Difusión; 735)
650 $aARROZ
650 $aEL PASO 144
650 $aPARAO
650 $aRETIRO DE AGUA
650 $aRIEGO
700 1 $aCAPURRO, M.C.
700 1 $aMARTINEZ, S.
700 1 $aROEL, A.
773 $tEn: INIA TREINTA Y TRES. Arroz-Soja: Resultados Experimentales 2013-2014. Treinta y Tres (UY): INIA Treinta y Tres.
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Registro original : |
INIA Treinta y Tres (TT) |
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
23/02/2021 |
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Actualizado : |
23/02/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
QUEZADA, M.; AMADEU, R. R.; VIGNALE, B.; CABRERA, D.; PRITSCH, C.; GARCIA, A. A. F. |
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Afiliación : |
MARIANELLA FERNANDA QUEZADA MACCHIAVELLO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.; RODRIGO RAMPAZO AMADEU, Laboratório de Genética Estatística, Departamento de Genética, Escola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo, Piracicaba, Brazil; BEATRIZ VIGNALE, Mejoramiento Genético, Departamento de Producción Vegetal, Estación Experimental de la Facultad de Agronomía, Universidad de la República, Salto, Uruguay; CARLOS DANILO CABRERA BOLOGNA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CLARA PRITSCH, Laboratorio de Biotecnología, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; ANTONIO AUGUSTO FRANCO GARCIA, Laboratório de Genética Estatística, Departamento de Genética, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, Brazil. |
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Título : |
Construction of a high-density genetic map of Acca sellowiana (Berg.) Burret, an outcrossing species, based on two connected mapping populations. |
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Complemento del título : |
Original Research Article. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Frontiers in Plant Science, 23 February 2021, Volume 12, Article number 626811. OPEN ACCESS. Doi: https://doi.org/10.3389/fpls.2021.626811 |
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DOI : |
10.3389/fpls.2021.626811 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 06 November 2020; Accepted: 12 January 2021; Published: 23 February 2021.
Edited by: Maria Luisa Badenes, Instituto Valenciano de Investigaciones Agrarias, Spain.
Reviewed by: Shouvik Das, Indian Agricultural Research Institute (ICAR), India; Jonathan Elias Maldonado, Pontificia Universidad Católica de Chile, Chile.
Correspondence: Antonio Augusto Franco Garcia - augusto.garcia@usp.br
Specialty section: This article was submitted to Plant Breeding, a section of the journal Frontiers in Plant Science.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
This article is part of the research topic: Breeding Innovations in Underutilized Temperate Fruit Trees:
https://www.frontiersin.org/research-topics/14915/breeding-innovations-in-underutilized-temperate-fruit-trees#articles |
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Contenido : |
ABSTRACT.
Acca sellowiana, known as feijoa or pineapple guava, is a diploid, (2n = 2x = 22) outcrossing fruit tree species native to Uruguay and Brazil. The species stands out for
its highly aromatic fruits, with nutraceutical and therapeutic value. Despite its promising agronomical value, genetic studies on this species are limited. Linkage genetic maps are valuable tools for genetic and genomic studies, and constitute essential tools in breeding programs to support the development of molecular breeding strategies. A high-density composite genetic linkage map of A. sellowiana was constructed using two genetically connected populations: H5 (TCO × BR, N = 160) and H6 (TCO × DP, N = 184). Genotyping by sequencing (GBS) approach was successfully applied for developing single nucleotide polymorphism (SNP) markers. A total of 4,921 SNP markers were identified using the reference genome of the closely related species Eucalyptus grandis, whereas other 4,656 SNPs were discovered using a de novo pipeline. The individual H5 and H6 maps comprised 1,236 and 1,302 markers distributed over the expected 11 linkage groups, respectively. These two maps spanned a map length of 1,593 and 1,572 cM, with an average inter-marker distance of 1.29 and 1.21 cM, respectively. A large proportion of markers were common to both maps and showed a high degree of collinearity. The composite map consisted of 1,897 SNPs markers with a total map length of 1,314 cM and an average inter-marker distance of 0.69. A novel approach for the construction of composite maps where the meiosis information of individuals of two connected populations is captured in a single estimator is described. A high-density, accurate composite map based on a consensus ordering of markers provides a valuable contribution for future genetic research and breeding efforts in A. sellowiana. A novel mapping approach based on an estimation of multipopulation recombination fraction described here may be applied in the construction of dense composite genetic maps for any other outcrossing diploid species.
© 2021 Quezada, Amadeu, Vignale, Cabrera, Pritsch and Garcia. MenosABSTRACT.
Acca sellowiana, known as feijoa or pineapple guava, is a diploid, (2n = 2x = 22) outcrossing fruit tree species native to Uruguay and Brazil. The species stands out for
its highly aromatic fruits, with nutraceutical and therapeutic value. Despite its promising agronomical value, genetic studies on this species are limited. Linkage genetic maps are valuable tools for genetic and genomic studies, and constitute essential tools in breeding programs to support the development of molecular breeding strategies. A high-density composite genetic linkage map of A. sellowiana was constructed using two genetically connected populations: H5 (TCO × BR, N = 160) and H6 (TCO × DP, N = 184). Genotyping by sequencing (GBS) approach was successfully applied for developing single nucleotide polymorphism (SNP) markers. A total of 4,921 SNP markers were identified using the reference genome of the closely related species Eucalyptus grandis, whereas other 4,656 SNPs were discovered using a de novo pipeline. The individual H5 and H6 maps comprised 1,236 and 1,302 markers distributed over the expected 11 linkage groups, respectively. These two maps spanned a map length of 1,593 and 1,572 cM, with an average inter-marker distance of 1.29 and 1.21 cM, respectively. A large proportion of markers were common to both maps and showed a high degree of collinearity. The composite map consisted of 1,897 SNPs markers with a total map length of 1,314 cM and an average inter-marker distance of 0.69.... Presentar Todo |
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Palabras claves : |
Composite genetic map; Genotyping by sequencing; Multiparent family; Pineapple guava. |
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Thesagro : |
ACCA SELLOWIANA; FEIJOA; MYRTACEAE. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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URL : |
https://www.frontiersin.org/articles/10.3389/fpls.2021.626811/full
https://www.frontiersin.org/articles/10.3389/fpls.2021.626811/pdf
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Marc : |
LEADER 03974naa a2200289 a 4500
001 1061756
005 2021-02-23
008 2021 bl uuuu u00u1 u #d
024 7 $a10.3389/fpls.2021.626811$2DOI
100 1 $aQUEZADA, M.
245 $aConstruction of a high-density genetic map of Acca sellowiana (Berg.) Burret, an outcrossing species, based on two connected mapping populations.$h[electronic resource]
260 $c2021
500 $aArticle history: Received: 06 November 2020; Accepted: 12 January 2021; Published: 23 February 2021. Edited by: Maria Luisa Badenes, Instituto Valenciano de Investigaciones Agrarias, Spain. Reviewed by: Shouvik Das, Indian Agricultural Research Institute (ICAR), India; Jonathan Elias Maldonado, Pontificia Universidad Católica de Chile, Chile. Correspondence: Antonio Augusto Franco Garcia - augusto.garcia@usp.br Specialty section: This article was submitted to Plant Breeding, a section of the journal Frontiers in Plant Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). This article is part of the research topic: Breeding Innovations in Underutilized Temperate Fruit Trees: https://www.frontiersin.org/research-topics/14915/breeding-innovations-in-underutilized-temperate-fruit-trees#articles
520 $aABSTRACT. Acca sellowiana, known as feijoa or pineapple guava, is a diploid, (2n = 2x = 22) outcrossing fruit tree species native to Uruguay and Brazil. The species stands out for its highly aromatic fruits, with nutraceutical and therapeutic value. Despite its promising agronomical value, genetic studies on this species are limited. Linkage genetic maps are valuable tools for genetic and genomic studies, and constitute essential tools in breeding programs to support the development of molecular breeding strategies. A high-density composite genetic linkage map of A. sellowiana was constructed using two genetically connected populations: H5 (TCO × BR, N = 160) and H6 (TCO × DP, N = 184). Genotyping by sequencing (GBS) approach was successfully applied for developing single nucleotide polymorphism (SNP) markers. A total of 4,921 SNP markers were identified using the reference genome of the closely related species Eucalyptus grandis, whereas other 4,656 SNPs were discovered using a de novo pipeline. The individual H5 and H6 maps comprised 1,236 and 1,302 markers distributed over the expected 11 linkage groups, respectively. These two maps spanned a map length of 1,593 and 1,572 cM, with an average inter-marker distance of 1.29 and 1.21 cM, respectively. A large proportion of markers were common to both maps and showed a high degree of collinearity. The composite map consisted of 1,897 SNPs markers with a total map length of 1,314 cM and an average inter-marker distance of 0.69. A novel approach for the construction of composite maps where the meiosis information of individuals of two connected populations is captured in a single estimator is described. A high-density, accurate composite map based on a consensus ordering of markers provides a valuable contribution for future genetic research and breeding efforts in A. sellowiana. A novel mapping approach based on an estimation of multipopulation recombination fraction described here may be applied in the construction of dense composite genetic maps for any other outcrossing diploid species. © 2021 Quezada, Amadeu, Vignale, Cabrera, Pritsch and Garcia.
650 $aACCA SELLOWIANA
650 $aFEIJOA
650 $aMYRTACEAE
653 $aComposite genetic map
653 $aGenotyping by sequencing
653 $aMultiparent family
653 $aPineapple guava
700 1 $aAMADEU, R. R.
700 1 $aVIGNALE, B.
700 1 $aCABRERA, D.
700 1 $aPRITSCH, C.
700 1 $aGARCIA, A. A. F.
773 $tFrontiers in Plant Science, 23 February 2021, Volume 12, Article number 626811. OPEN ACCESS. Doi: https://doi.org/10.3389/fpls.2021.626811
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