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

Triticum aestivum barley yellow dwarf (BYD) genome-wide association mapping (GWAS) genomic selection (GS) high-throughput phenotyping (HTP) resistance tolerance virus

Journal

G3 (Bethesda, Md.)
ISSN: 2160-1836
Titre abrégé: G3 (Bethesda)
Pays: England
ID NLM: 101566598

Informations de publication

Date de publication:
06 07 2022
Historique:
accepted: 12 03 2022
received: 22 12 2021
pubmed: 31 3 2022
medline: 9 7 2022
entrez: 30 3 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 35353191
pii: 6556002
doi: 10.1093/g3journal/jkac064
pmc: PMC9258586
pii:
doi:

Substances chimiques

Insecticides 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of Genetics Society of America.

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Auteurs

Paula Silva (P)

Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, KS 66506, USA.
Programa Nacional de Cultivos de Secano, Instituto Nacional de Investigación Agropecuaria (INIA), Estación Experimental La Estanzuela, Colonia 70006, Uruguay.

Byron Evers (B)

Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, KS 66506, USA.

Alexandria Kieffaber (A)

Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, KS 66506, USA.

Xu Wang (X)

Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, KS 66506, USA.
Department of Agricultural and Biological Engineering, University of Florida, IFAS Gulf Coast Research and Education Center, Wimauma, FL 33598, USA.

Richard Brown (R)

Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, KS 66506, USA.

Liangliang Gao (L)

Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, KS 66506, USA.

Allan Fritz (A)

Department of Agronomy, College of Agriculture, Kansas State University, Manhattan, KS 66506, USA.

Jared Crain (J)

Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, KS 66506, USA.

Jesse Poland (J)

Department of Plant Pathology, College of Agriculture, Kansas State University, Manhattan, KS 66506, USA.
Center for Desert Agriculture, King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia.

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