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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
03/07/2021 |
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Actualizado : |
03/07/2021 |
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Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
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Autor : |
GANZÁBAL, A.; MARTÍNEZ, F.; GARCÍA PINTOS, J.; URIOSTE, G.; DYPPOLITO, F.; ROJAS. J.; CAMPANELLA, L.; GARCÍA DA ROSA, D. |
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Afiliación : |
ANDRES RICARDO GANZÁBAL PLANINICH, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FREDDY MARTÍNEZ, Director de Extensión - Movimiento de la Juventud Agraria.; JOSEFINA GARCÍA PINTOS, Secretariado Uruguayo de la Lana.; GONZALO URIOSTE, Dirección de Desarrollo de Intendencia de Florida.; FERNANDO DYPPOLITO, Unidad de Desarrollo Rural - Intendencia de Canelones.; JOSÉ ROJAS, Director de Desarrollo Rural - Intendencia de Florida.; LUCÍA CAMPANELLA, Agencia Nacional de Desarrollo.; DIEGO GARCÍA DA ROSA, Agencia Nacional de Desarrollo. |
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Título : |
Fondos rotatorios, asociativismo y extensión para el desarrollo de la producción ovina en pequeña escala. Proyecto Regional ANDE - MJA. |
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Complemento del título : |
Producción Animal. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Revista INIA Uruguay, Junio 2021, no.65, p.30-34. |
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Serie : |
(Revista INIA; 65). |
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ISSN : |
1510-9011 |
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Idioma : |
Español |
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Contenido : |
El presente artículo se focaliza en experiencias de articulación entre instituciones y organizaciones de productores, generando herramientas valiosas para el desarrollo de la producción ovina de pequeña escala. Capacitarse, experimentar, consultar, aprender y finalmente asistir a sus vecinos, constituye el ciclo que experimentan los productores que se integran a estas estrategias de trabajo colaborativas. La participación de los
productores ovinos como colaboradores directos en la difusión, ha sido uno de los medios principales para extender este sector. |
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Palabras claves : |
FONDOS ROTATORIOS DE OVINOS; JORNADAS. |
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Thesagro : |
OVINOS; PRODUCCIÓN OVINA. |
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Asunto categoría : |
A50 Investigación agraria |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15759/1/Revista-INIA-65-Junio-2021-08.pdf
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Marc : |
LEADER 01405naa a2200277 a 4500
001 1062225
005 2021-07-03
008 2021 bl uuuu u00u1 u #d
022 $a1510-9011
100 1 $aGANZÁBAL, A.
245 $aFondos rotatorios, asociativismo y extensión para el desarrollo de la producción ovina en pequeña escala. Proyecto Regional ANDE - MJA.$h[electronic resource]
260 $c2021
490 $a(Revista INIA; 65).
520 $aEl presente artículo se focaliza en experiencias de articulación entre instituciones y organizaciones de productores, generando herramientas valiosas para el desarrollo de la producción ovina de pequeña escala. Capacitarse, experimentar, consultar, aprender y finalmente asistir a sus vecinos, constituye el ciclo que experimentan los productores que se integran a estas estrategias de trabajo colaborativas. La participación de los productores ovinos como colaboradores directos en la difusión, ha sido uno de los medios principales para extender este sector.
650 $aOVINOS
650 $aPRODUCCIÓN OVINA
653 $aFONDOS ROTATORIOS DE OVINOS
653 $aJORNADAS
700 1 $aMARTÍNEZ, F.
700 1 $aGARCÍA PINTOS, J.
700 1 $aURIOSTE, G.
700 1 $aDYPPOLITO, F.
700 1 $aROJAS. J.
700 1 $aCAMPANELLA, L.
700 1 $aGARCÍA DA ROSA, D.
773 $tRevista INIA Uruguay, Junio 2021, no.65, p.30-34.
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Registro original : |
INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
18/03/2022 |
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Actualizado : |
02/09/2022 |
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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 : |
SILVA, P.; EVERS, B.; KIEFFABER, A.; WANG, X.; BROWN, R.; GAO, L.; FRITZ, A.; CRAIN, J.; POLAND, J. |
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Afiliación : |
MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./ Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, USA.; BYRON EVERS, Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, Kansas, USA.; ALEXANDRIA KIEFFABER, Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, Kansas, USA.; XU WANG, Department of Agricultural and Biological Engineering, University of Florida, IFAS Gulf Coast , Research and Education Center, Wimauma, Florida,USA.; RICHARD BROWN, Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, USA.; LIANGLIANG GAO, Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, USA.; ALLAN FRITZ, Department of Agronomy, College of Agriculture, Kansas State University, Manhattan, Kansas, 66506, USA.; JARED CRAIN, Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, Kansas, 66506, USA.; JESSE POLAND, Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, Kansas, 66506, USA. |
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Título : |
Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
G3 Genes| Genomes| Genetics, (Bethesda, Md.), 2022;, jkac064, Open Access. DOI:https://doi.org/10.1093/g3journal/jkac064 |
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DOI : |
10.1093/g3journal/jkac064 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 22 December 2021/Accepted: 12 March 2022/Published: 30 March 2022.
The Author(s) (2022) . Published by Oxford University Press on behalf of the Genetics Society of America. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
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Contenido : |
Abstract:
Barley yellow dwarf (BYD) is one of the major viral diseases of cereals. Phenotyping BYD in wheat is extremely challenging due to similarities to other biotic and abiotic stresses. Breeding for resistance is additionally challenging as the wheat primary germplasm pool lacks genetic resistance, with most of the few resistance genes named to date originating from a wild relative species. The objectives of this study were to, i) evaluate the use of high-throughput phenotyping (HTP) from unmanned aerial systems to improve BYD assessment and selection, ii) identify genomic regions associated with BYD resistance, and iii) evaluate genomic prediction models ability to predict BYD resistance. Up to 107 wheat lines were phenotyped during each of five field seasons under both insecticide treated and untreated plots. Across all seasons, BYD severity was lower with the insecticide treatment and plant height (PTHTM) and grain yield (GY) showed increased values relative to untreated entries. Only 9.2% of the lines were positive for the presence of the translocated segment carrying resistance gene Bdv2 on chromosome 7DL. Despite the low frequency, this region was identified through association mapping. Furthermore, we mapped a potentially novel genomic region for resistance on chromosome 5AS. Given the variable heritability of the trait (0.211 ? 0.806), we obtained relatively good predictive ability for BYD severity ranging between 0.06 ? 0.26. Including Bdv2 on the predictive model had a large effect for predicting BYD but almost no effect for PTHTM and GY. This study was the first attempt to characterize BYD using field-HTP and apply GS to predict the disease severity. These methods have the potential to improve BYD characterization and identifying new sources of resistance will be crucial for delivering BYD resistant germplasm. MenosAbstract:
Barley yellow dwarf (BYD) is one of the major viral diseases of cereals. Phenotyping BYD in wheat is extremely challenging due to similarities to other biotic and abiotic stresses. Breeding for resistance is additionally challenging as the wheat primary germplasm pool lacks genetic resistance, with most of the few resistance genes named to date originating from a wild relative species. The objectives of this study were to, i) evaluate the use of high-throughput phenotyping (HTP) from unmanned aerial systems to improve BYD assessment and selection, ii) identify genomic regions associated with BYD resistance, and iii) evaluate genomic prediction models ability to predict BYD resistance. Up to 107 wheat lines were phenotyped during each of five field seasons under both insecticide treated and untreated plots. Across all seasons, BYD severity was lower with the insecticide treatment and plant height (PTHTM) and grain yield (GY) showed increased values relative to untreated entries. Only 9.2% of the lines were positive for the presence of the translocated segment carrying resistance gene Bdv2 on chromosome 7DL. Despite the low frequency, this region was identified through association mapping. Furthermore, we mapped a potentially novel genomic region for resistance on chromosome 5AS. Given the variable heritability of the trait (0.211 ? 0.806), we obtained relatively good predictive ability for BYD severity ranging between 0.06 ? 0.26. Including Bdv2 on the predictive mo... Presentar Todo |
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Palabras claves : |
Barley yellow dwarf (BYD); Genomic Selection (GS); High-throughput Phenotyping (HTP); Resistance; Tolerance; Triticum aestivum; Virus. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16662/1/Applied-phenomics-and-genomics-for-improving-barley-yellow-dwarf-resistance-in-winter.-2022.Silva.pdf
https://academic.oup.com/g3journal/article-pdf/12/7/jkac064/44473353/jkac064.pdf
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Marc : |
LEADER 03303naa a2200325 a 4500
001 1062870
005 2022-09-02
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1093/g3journal/jkac064$2DOI
100 1 $aSILVA, P.
245 $aApplied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat.$h[electronic resource]
260 $c2022
500 $aArticle history: Received: 22 December 2021/Accepted: 12 March 2022/Published: 30 March 2022. The Author(s) (2022) . Published by Oxford University Press on behalf of the Genetics Society of America. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
520 $aAbstract: Barley yellow dwarf (BYD) is one of the major viral diseases of cereals. Phenotyping BYD in wheat is extremely challenging due to similarities to other biotic and abiotic stresses. Breeding for resistance is additionally challenging as the wheat primary germplasm pool lacks genetic resistance, with most of the few resistance genes named to date originating from a wild relative species. The objectives of this study were to, i) evaluate the use of high-throughput phenotyping (HTP) from unmanned aerial systems to improve BYD assessment and selection, ii) identify genomic regions associated with BYD resistance, and iii) evaluate genomic prediction models ability to predict BYD resistance. Up to 107 wheat lines were phenotyped during each of five field seasons under both insecticide treated and untreated plots. Across all seasons, BYD severity was lower with the insecticide treatment and plant height (PTHTM) and grain yield (GY) showed increased values relative to untreated entries. Only 9.2% of the lines were positive for the presence of the translocated segment carrying resistance gene Bdv2 on chromosome 7DL. Despite the low frequency, this region was identified through association mapping. Furthermore, we mapped a potentially novel genomic region for resistance on chromosome 5AS. Given the variable heritability of the trait (0.211 ? 0.806), we obtained relatively good predictive ability for BYD severity ranging between 0.06 ? 0.26. Including Bdv2 on the predictive model had a large effect for predicting BYD but almost no effect for PTHTM and GY. This study was the first attempt to characterize BYD using field-HTP and apply GS to predict the disease severity. These methods have the potential to improve BYD characterization and identifying new sources of resistance will be crucial for delivering BYD resistant germplasm.
653 $aBarley yellow dwarf (BYD)
653 $aGenomic Selection (GS)
653 $aHigh-throughput Phenotyping (HTP)
653 $aResistance
653 $aTolerance
653 $aTriticum aestivum
653 $aVirus
700 1 $aEVERS, B.
700 1 $aKIEFFABER, A.
700 1 $aWANG, X.
700 1 $aBROWN, R.
700 1 $aGAO, L.
700 1 $aFRITZ, A.
700 1 $aCRAIN, J.
700 1 $aPOLAND, J.
773 $tG3 Genes| Genomes| Genetics, (Bethesda, Md.), 2022;, jkac064, Open Access. DOI:https://doi.org/10.1093/g3journal/jkac064
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