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Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat

Barley yellow dwarf is one of the major viral diseases of cereals. Phenotyping barley yellow dwarf 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 resista...

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Autores principales: Silva, Paula, Evers, Byron, Kieffaber, Alexandria, Wang, Xu, Brown, Richard, Gao, Liangliang, Fritz, Allan, Crain, Jared, Poland, Jesse
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258586/
https://www.ncbi.nlm.nih.gov/pubmed/35353191
http://dx.doi.org/10.1093/g3journal/jkac064
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author Silva, Paula
Evers, Byron
Kieffaber, Alexandria
Wang, Xu
Brown, Richard
Gao, Liangliang
Fritz, Allan
Crain, Jared
Poland, Jesse
author_facet Silva, Paula
Evers, Byron
Kieffaber, Alexandria
Wang, Xu
Brown, Richard
Gao, Liangliang
Fritz, Allan
Crain, Jared
Poland, Jesse
author_sort Silva, Paula
collection PubMed
description Barley yellow dwarf is one of the major viral diseases of cereals. Phenotyping barley yellow dwarf 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 (1) evaluate the use of high-throughput phenotyping to improve barley yellow dwarf assessment; (2) identify genomic regions associated with barley yellow dwarf resistance; and (3) evaluate the ability of genomic selection models to predict barley yellow dwarf resistance. Up to 107 wheat lines were phenotyped during each of 5 field seasons under both insecticide treated and untreated plots. Across all seasons, barley yellow dwarf severity was lower within the insecticide treatment along with increased plant height and grain yield compared with untreated entries. Only 9.2% of the lines were positive for the presence of the translocated segment carrying the resistance gene Bdv2. Despite the low frequency, this region was identified through association mapping. Furthermore, we mapped a potentially novel genomic region for barley yellow dwarf resistance on chromosome 5AS. Given the variable heritability of the trait (0.211–0.806), we obtained a predictive ability for barley yellow dwarf severity ranging between 0.06 and 0.26. Including the presence or absence of Bdv2 as a covariate in the genomic selection models had a large effect for predicting barley yellow dwarf but almost no effect for other observed traits. This study was the first attempt to characterize barley yellow dwarf using field-high-throughput phenotyping and apply genomic selection to predict disease severity. These methods have the potential to improve barley yellow dwarf characterization, additionally identifying new sources of resistance will be crucial for delivering barley yellow dwarf resistant germplasm.
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spelling pubmed-92585862022-07-07 Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat Silva, Paula Evers, Byron Kieffaber, Alexandria Wang, Xu Brown, Richard Gao, Liangliang Fritz, Allan Crain, Jared Poland, Jesse G3 (Bethesda) Investigation Barley yellow dwarf is one of the major viral diseases of cereals. Phenotyping barley yellow dwarf 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 (1) evaluate the use of high-throughput phenotyping to improve barley yellow dwarf assessment; (2) identify genomic regions associated with barley yellow dwarf resistance; and (3) evaluate the ability of genomic selection models to predict barley yellow dwarf resistance. Up to 107 wheat lines were phenotyped during each of 5 field seasons under both insecticide treated and untreated plots. Across all seasons, barley yellow dwarf severity was lower within the insecticide treatment along with increased plant height and grain yield compared with untreated entries. Only 9.2% of the lines were positive for the presence of the translocated segment carrying the resistance gene Bdv2. Despite the low frequency, this region was identified through association mapping. Furthermore, we mapped a potentially novel genomic region for barley yellow dwarf resistance on chromosome 5AS. Given the variable heritability of the trait (0.211–0.806), we obtained a predictive ability for barley yellow dwarf severity ranging between 0.06 and 0.26. Including the presence or absence of Bdv2 as a covariate in the genomic selection models had a large effect for predicting barley yellow dwarf but almost no effect for other observed traits. This study was the first attempt to characterize barley yellow dwarf using field-high-throughput phenotyping and apply genomic selection to predict disease severity. These methods have the potential to improve barley yellow dwarf characterization, additionally identifying new sources of resistance will be crucial for delivering barley yellow dwarf resistant germplasm. Oxford University Press 2022-03-30 /pmc/articles/PMC9258586/ /pubmed/35353191 http://dx.doi.org/10.1093/g3journal/jkac064 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigation
Silva, Paula
Evers, Byron
Kieffaber, Alexandria
Wang, Xu
Brown, Richard
Gao, Liangliang
Fritz, Allan
Crain, Jared
Poland, Jesse
Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat
title Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat
title_full Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat
title_fullStr Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat
title_full_unstemmed Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat
title_short Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat
title_sort applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat
topic Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258586/
https://www.ncbi.nlm.nih.gov/pubmed/35353191
http://dx.doi.org/10.1093/g3journal/jkac064
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