Genomic selection for durable stem rust resistance in wheat

Rutkoski, Jessica; Heffner, Elliot L.; Sorrells, Mark E.

doi:10.1007/s10681-010-0301-1

Cited by 129 publications

(79 citation statements)

References 72 publications

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“…Epistatic QTLs and epiQTLs will also be discovered in future to be used for molecular breeding in wheat. There is also a need to explore genomic selection (GS) for drought tolerance, which has already been used for the improvement of other traits, particularly disease resistance in wheat [120][121][122].…”

Section: Discussionmentioning

confidence: 99%

QTL Analysis for Drought Tolerance in Wheat: Present Status and Future Possibilities

2017

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Abstract:In recent years, with climate change, drought stress has been witnessed in many parts of the world. In many irrigated regions also, shortage of water supply allows only limited irrigation. These conditions have an adverse effect on the productivity of many crops including cereals such as wheat. Therefore, genetics of drought/water stress tolerance in different crops has become a priority area of research. This research mainly involves use of quantitative trait locus (QTL) analysis (involving both interval mapping and association mapping) for traits that are related to water-use efficiency. In this article, we briefly review the available literature on QTL analyses in wheat for traits, which respond to drought/water stress. The outlook for future research in this area and the possible approaches for utilizing the available information on genetics of drought tolerance for wheat breeding are also discussed.

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Section: Discussionmentioning

confidence: 99%

QTL Analysis for Drought Tolerance in Wheat: Present Status and Future Possibilities

2017

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“…While successful application of genomic selection has been reported in cattle [115,116], few experiments have been reported in plants [117]. For alfalfa, using GS will require models that account for its tetraploid and heterozygous nature, and this will undoubtedly make the process more complex than in a diploid species.…”

Section: Marker-only Selection and Genomic Selectionmentioning

confidence: 99%

Applied Genetics and Genomics in Alfalfa Breeding

2012

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Alfalfa (Medicago sativa L.), a perennial and outcrossing species, is a widely planted forage legume for hay, pasture and silage throughout the world. Currently, alfalfa breeding relies on recurrent phenotypic selection, but alternatives incorporating molecular marker assisted breeding could enhance genetic gain per unit time and per unit cost, and accelerate alfalfa improvement. Many major quantitative trait loci (QTL) related to agronomic traits have been identified by family-based QTL mapping, but in relatively large genomic regions. Candidate genes elucidated from model species have helped to identify some potential causal loci in alfalfa mapping and breeding population for specific traits. Recently, high throughput sequencing technologies, coupled with advanced bioinformatics tools, have been used to identify large numbers of single nucleotide polymorphisms (SNP) in alfalfa, which are being developed into markers. These markers will facilitate fine mapping of quantitative traits and genome wide association mapping of agronomic traits and further advanced breeding strategies for alfalfa, such as marker-assisted selection and genomic selection. Based on ideas from the literature, we suggest several ways to improve selection in alfalfa including (1) diversity selection and paternity testing, (2) introgression of QTL and (3) genomic selection.

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“…The use of single-gene resistances has been shown to be ineffective in achieving long-lasting resistance, as most of the resistance genes used in apple to date have been overcome by the pathogen or pest at some stage (Kellerhals et al 2002). While pyramids of genes can be defeated by simultaneous mutations in the pathogen, sexual recombination and population movement (Rutkoski et al 2011), the probability of such events are low and should be prevented by an effective resistance management strategy. The apparent general durability of gene pyramids found in Malus germplasm, e.g.…”

Section: Current Status Of Mas In Apple-breeding Programmesmentioning

confidence: 99%

Towards genomic selection in apple (Malus × domestica Borkh.) breeding programmes: Prospects, challenges and strategies

Kumar

Bink

Volz

et al. 2011

Tree Genetics & Genomes

105

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The apple genome sequence and the availability of high-throughput genotyping technologies have initiated a new era where SNP markers are abundant across the whole genome. Genomic selection (GS) is a statistical approach that utilizes all available genome-wide markers simultaneously to estimate breeding values or total genetic values. For breeding programmes, GS is a promising alternative to the traditional marker-assisted selection for manipulating complex polygenic traits often controlled by many smalleffect genes. Various factors, such as genetic architecture of selection traits, population size and structure, genetic evaluation systems, density of SNP markers and extent of linkage disequilibrium, have been shown to be the key drivers of the accuracy of GS. In this paper, we provide an overview of the status of these aspects in current applebreeding programmes. Strategies for GS for fruit quality and disease resistance are discussed, and an update on an empirical genomic selection study in a New Zealand applebreeding programme is provided, along with a foresight of expected accuracy from such selection.

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Genomic selection for durable stem rust resistance in wheat

Cited by 129 publications

References 72 publications

QTL Analysis for Drought Tolerance in Wheat: Present Status and Future Possibilities

QTL Analysis for Drought Tolerance in Wheat: Present Status and Future Possibilities

Applied Genetics and Genomics in Alfalfa Breeding

Towards genomic selection in apple (Malus × domestica Borkh.) breeding programmes: Prospects, challenges and strategies

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