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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
18/03/2022 |
Actualizado : |
02/09/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
SILVA, P.; EVERS, B.; KIEFFABER, A.; WANG, X.; BROWN, R.; GAO, L.; FRITZ, A.; CRAIN, J.; POLAND, J. |
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. |
Título : |
Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
G3 Genes| Genomes| Genetics, (Bethesda, Md.), 2022;, jkac064, Open Access. DOI:https://doi.org/10.1093/g3journal/jkac064 |
DOI : |
10.1093/g3journal/jkac064 |
Idioma : |
Inglés |
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. |
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 |
Palabras claves : |
Barley yellow dwarf (BYD); Genomic Selection (GS); High-throughput Phenotyping (HTP); Resistance; Tolerance; Triticum aestivum; Virus. |
Asunto categoría : |
-- |
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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Registro original : |
INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
31/08/2016 |
Actualizado : |
05/11/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
CALVO-SALAZAR, V.; SINGH, R. P.; HUERTA-ESPINO, J.; CRUZ-IZ QUIERDO, S.; LOBATO-ORTIZ, R.; SANDOVAL-ISLAS, S.; VARGAS-HERNÁNDEZ, M.; GERMAN, S.; SILVA, P.; BASNET, B. R.; LAN, C. X.; HERRERA-FOESSEL, S. A. |
Afiliación : |
SILVIA ELISA GERMAN FAEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Genetic Analysis of Resistance to Leaf Rust and Yellow Rust in Spring Wheat Cultivar Kenya Kongoni. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Plant Disease, v. 99, no.1153-1160, 2015. |
ISSN : |
0191-2917 |
DOI : |
10.1094/PDIS- 07-14 -0718-RE |
Idioma : |
Inglés |
Notas : |
Article history: Accepted for publication 9 February 2015/Published Online:23 Jun 2015. |
Contenido : |
Abstract: The Kenyan wheat (Triticum aestivum L.) ?Kenya Kongoni ?exhibits high levels of adult plant resistance (APR) to leaf rust (LR) and yellow
rust (YR). We determined the genomic regions associated with LR and YR resistance in a population of 148 recombinant inbred lines generated
from a cross between ? Avocet-YrA ?and Kenya Kongoni. Field experi-ments to characterize APR to LR and YR were conducted in four and
two Mexican or Uruguayan environments, respectively. A linkage map was constructed with 438 diversity arrays technology and 16 simple-
sequence repeat markers by JoinMap 4.1 software. Genetic analyses showed that resistance to both rusts was determined by four to five
APR genes, including Lr46/Yr29 and Sr2/Lr27/Yr30 . Quantitative trait loci (QTL) analysis indicated that pleiotropic APR loci QYLr.cim-1BL
corresponding to Lr46/Yr29 and QYLr.cim-7BL that is a putative novel QTL accounted for 5 to 57% and 12 to 35% of the phenotypic variation
for resistance to LR and YR, respectively. These loci, in combination with another three LR QTL and two YR QTL, respectively, conferred
high levels of resistance to both LR and YR in wheat under Mexican and Uruguayan environments. Among ot her detected QTL, QLr.cim-1DS,
QLr.cim-2BL, and QYLr.icm-7BL may be new loci for APR to both rusts in common wheat. |
Thesagro : |
ENFERMEDADES DE LAS PLANTAS; PUCCINIA GRAMINIS; PUCCINIA STRIIFORMIS. |
Asunto categoría : |
H20 Enfermedades de las plantas |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13737/1/Plant-Disease-v.-99-no.1153-1160-2015..pdf
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Marc : |
LEADER 02362naa a2200325 a 4500 001 1055482 005 2019-11-05 008 2015 bl uuuu u00u1 u #d 022 $a0191-2917 024 7 $a10.1094/PDIS- 07-14 -0718-RE$2DOI 100 1 $aCALVO-SALAZAR, V. 245 $aGenetic Analysis of Resistance to Leaf Rust and Yellow Rust in Spring Wheat Cultivar Kenya Kongoni.$h[electronic resource] 260 $c2015 500 $aArticle history: Accepted for publication 9 February 2015/Published Online:23 Jun 2015. 520 $aAbstract: The Kenyan wheat (Triticum aestivum L.) ?Kenya Kongoni ?exhibits high levels of adult plant resistance (APR) to leaf rust (LR) and yellow rust (YR). We determined the genomic regions associated with LR and YR resistance in a population of 148 recombinant inbred lines generated from a cross between ? Avocet-YrA ?and Kenya Kongoni. Field experi-ments to characterize APR to LR and YR were conducted in four and two Mexican or Uruguayan environments, respectively. A linkage map was constructed with 438 diversity arrays technology and 16 simple- sequence repeat markers by JoinMap 4.1 software. Genetic analyses showed that resistance to both rusts was determined by four to five APR genes, including Lr46/Yr29 and Sr2/Lr27/Yr30 . Quantitative trait loci (QTL) analysis indicated that pleiotropic APR loci QYLr.cim-1BL corresponding to Lr46/Yr29 and QYLr.cim-7BL that is a putative novel QTL accounted for 5 to 57% and 12 to 35% of the phenotypic variation for resistance to LR and YR, respectively. These loci, in combination with another three LR QTL and two YR QTL, respectively, conferred high levels of resistance to both LR and YR in wheat under Mexican and Uruguayan environments. Among ot her detected QTL, QLr.cim-1DS, QLr.cim-2BL, and QYLr.icm-7BL may be new loci for APR to both rusts in common wheat. 650 $aENFERMEDADES DE LAS PLANTAS 650 $aPUCCINIA GRAMINIS 650 $aPUCCINIA STRIIFORMIS 700 1 $aSINGH, R. P. 700 1 $aHUERTA-ESPINO, J. 700 1 $aCRUZ-IZ QUIERDO, S. 700 1 $aLOBATO-ORTIZ, R. 700 1 $aSANDOVAL-ISLAS, S. 700 1 $aVARGAS-HERNÁNDEZ, M. 700 1 $aGERMAN, S. 700 1 $aSILVA, P. 700 1 $aBASNET, B. R. 700 1 $aLAN, C. X. 700 1 $aHERRERA-FOESSEL, S. A. 773 $tPlant Disease$gv. 99, no.1153-1160, 2015.
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