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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
01/10/2014 |
Actualizado : |
09/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
QUEZADA, M.; PASTINA, M.M.; RAVEST, G.; SILVA, P.; VIGNALE, B.; CABRERA, D.; HINRICHSEN, P.; GARCÍA, A.A.F.; PRITSCH, C. |
Afiliación : |
CARLOS DANILO CABRERA BOLOGNA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
A first genetic map of Acca sellowiana based on ISSR, AFLP and SSR markers. |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
Scientia Horticulturae, 2014, v.169, no.2, p. 138-146. |
ISSN : |
0304-4238 |
DOI : |
10.1016/j.scienta.2014.02.009 |
Idioma : |
Inglés |
Notas : |
Article history: Received 13 May 2013 / Received in revised form 24 January 2014 / Accepted 12 February 2014 / Available online 14 March 2014. |
Contenido : |
ABSTRACT.
A first integrated linkage map of Acca sellowiana (Berg.) Burret (2. n= 2. x= 22), commonly known as 'pineapple guava' was constructed using a 160 (TCO. ×. BR) full-sib F1 progeny based on intersimple sequence repeat (ISSR), amplified fragment length polymorphism (AFLP) and simple sequence repeat (SSR) markers. To develop an integrated map, we used a novel statistical approach that provided a simultaneous estimation of linkage and linkage phases based on maximum-likelihood analysis. The integrated map comprised 219 (27 ISSRs and 192 AFLPs) linked markers that were assigned to 10 major linkage groups (LG) representing a total map length of 2875. cM and average distance between markers of 13.8. cM. TCO (14 LG, 83 markers, 1264.6. cM) and BR (18 LG, 94 markers, 1295.1. cM) parent maps were also constructed through the same statistical approach but using only appropriate pseudo-testcross configuration markers. All the LG of the integrated map shared markers with either TCO or, BR or both parental maps. The integrated map provides a framework for further genetic and genomic analyses in A. sellowiana.
© 2014 Elsevier B.V. |
Palabras claves : |
Feijoa sellowiana; Linkage map; Multipoint estimates; Orphan species; Two-way pseudo-testcross. |
Thesagro : |
ACCA SELLOWIANA; FITOMEJORAMIENTO; GUAYABO DEL PAÍS; MAPAS GENÉTICOS. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
Marc : |
LEADER 02290naa a2200361 a 4500 001 1050792 005 2019-10-09 008 2014 bl uuuu u00u1 u #d 022 $a0304-4238 024 7 $a10.1016/j.scienta.2014.02.009$2DOI 100 1 $aQUEZADA, M. 245 $aA first genetic map of Acca sellowiana based on ISSR, AFLP and SSR markers.$h[electronic resource] 260 $c2014 500 $aArticle history: Received 13 May 2013 / Received in revised form 24 January 2014 / Accepted 12 February 2014 / Available online 14 March 2014. 520 $aABSTRACT. A first integrated linkage map of Acca sellowiana (Berg.) Burret (2. n= 2. x= 22), commonly known as 'pineapple guava' was constructed using a 160 (TCO. ×. BR) full-sib F1 progeny based on intersimple sequence repeat (ISSR), amplified fragment length polymorphism (AFLP) and simple sequence repeat (SSR) markers. To develop an integrated map, we used a novel statistical approach that provided a simultaneous estimation of linkage and linkage phases based on maximum-likelihood analysis. The integrated map comprised 219 (27 ISSRs and 192 AFLPs) linked markers that were assigned to 10 major linkage groups (LG) representing a total map length of 2875. cM and average distance between markers of 13.8. cM. TCO (14 LG, 83 markers, 1264.6. cM) and BR (18 LG, 94 markers, 1295.1. cM) parent maps were also constructed through the same statistical approach but using only appropriate pseudo-testcross configuration markers. All the LG of the integrated map shared markers with either TCO or, BR or both parental maps. The integrated map provides a framework for further genetic and genomic analyses in A. sellowiana. © 2014 Elsevier B.V. 650 $aACCA SELLOWIANA 650 $aFITOMEJORAMIENTO 650 $aGUAYABO DEL PAÍS 650 $aMAPAS GENÉTICOS 653 $aFeijoa sellowiana 653 $aLinkage map 653 $aMultipoint estimates 653 $aOrphan species 653 $aTwo-way pseudo-testcross 700 1 $aPASTINA, M.M. 700 1 $aRAVEST, G. 700 1 $aSILVA, P. 700 1 $aVIGNALE, B. 700 1 $aCABRERA, D. 700 1 $aHINRICHSEN, P. 700 1 $aGARCÍA, A.A.F. 700 1 $aPRITSCH, C. 773 $tScientia Horticulturae, 2014$gv.169, no.2, p. 138-146.
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INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
11/05/2021 |
Actualizado : |
11/05/2021 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
BERRUETA, C.; GIMÉNEZ, G.; DOGLIOTTI, S. |
Afiliación : |
MARIA CECILIA BERRUETA MOREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO GIMÉNEZ FRANQUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO DOGLIOTTI, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay. |
Título : |
Scaling up from crop to farm level: Co-innovation framework to improve vegetable farm systems sustainability. [Webinar presentation]. |
Complemento del título : |
Webinar 3-24 March 2021. Chaired by Hatem Belhouchette (CIHEAM Montpellier, France) and PytrikReidsma (Wageningen University and Research, The Netherlands).
Multi-scale and multicriteriatrade-off analysis in the SDG1-SDG2 nexus, to co-design sustainable and healthy agri-food systems and to inform policies. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
In: International Symposium for Farming Systems Design, 7th (FSD7), "Designing Climate Smart Agricultural Systems for a Sustainable Transition in the Agri-food Systems of the Dry Areas", International Course, Webinars March 22-25, 2021. |
Idioma : |
Inglés |
Contenido : |
ABSTRACT. - Understanding and ranking main causes of yield variability among farmers, is essential to provide feedback to farmers and extension agents to reduce yield gaps. |
Palabras claves : |
Crop management; Family farms; Farm system. |
Asunto categoría : |
F01 Cultivo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15604/1/FSD7-webinar-presentation-Berrueta-Gimenez-Dogliotti-2021.pdf
https://cloud.iamm.fr/index.php/s/frBRzgMMdmQjPQc
https://fsd7.sciencesconf.org/resource/page/id/26
|
Marc : |
LEADER 00913nam a2200169 a 4500 001 1062076 005 2021-05-11 008 2021 bl uuuu u00u1 u #d 100 1 $aBERRUETA, C. 245 $aScaling up from crop to farm level$bCo-innovation framework to improve vegetable farm systems sustainability. [Webinar presentation].$h[electronic resource] 260 $aIn: International Symposium for Farming Systems Design, 7th (FSD7), "Designing Climate Smart Agricultural Systems for a Sustainable Transition in the Agri-food Systems of the Dry Areas", International Course, Webinars March 22-25$c2021 520 $aABSTRACT. - Understanding and ranking main causes of yield variability among farmers, is essential to provide feedback to farmers and extension agents to reduce yield gaps. 653 $aCrop management 653 $aFamily farms 653 $aFarm system 700 1 $aGIMÉNEZ, G. 700 1 $aDOGLIOTTI, S.
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