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      Introgression Breeding in Barley: Perspectives and Case Studies

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          Abstract

          Changing production scenarios resulting from unstable climatic conditions are challenging crop improvement efforts. A deeper and more practical understanding of plant genetic resources is necessary if these assets are to be used effectively in developing improved varieties. In general, current varieties and potential varieties have a narrow genetic base, making them prone to suffer the consequences of new and different abiotic and biotic stresses that can reduce crop yield and quality. The deployment of genomic technologies and sophisticated statistical analysis procedures has generated a dramatic change in the way we characterize and access genetic diversity in crop plants, including barley. Various mapping strategies can be used to identify the genetic variants that lead to target phenotypes and these variants can be assigned coordinates in reference genomes. In this way, new genes and/or new alleles at known loci present in wild ancestors, germplasm accessions, land races, and un-adapted introductions can be located and targeted for introgression. In principle, the introgression process can now be streamlined and linkage drag reduced. In this review, we present an overview of (1) past and current efforts to identify diversity that can be tapped to improve barley yield and quality, and (2) case studies of our efforts to introgress resistance to stripe and stem rust from un-adapted germplasm. We conclude with a description of a modified Nested Association Mapping (NAM) population strategy that we are implementing for the development of multi-use naked barley for organic systems and share perspectives on the use of genome editing in introgression breeding.

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          Chapter 11: Genome-Wide Association Studies

          Genome-wide association studies (GWAS) have evolved over the last ten years into a powerful tool for investigating the genetic architecture of human disease. In this work, we review the key concepts underlying GWAS, including the architecture of common diseases, the structure of common human genetic variation, technologies for capturing genetic information, study designs, and the statistical methods used for data analysis. We also look forward to the future beyond GWAS.
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            Natural variation in a homolog of Antirrhinum CENTRORADIALIS contributed to spring growth habit and environmental adaptation in cultivated barley.

            As early farming spread from the Fertile Crescent in the Near East around 10,000 years before the present, domesticated crops encountered considerable ecological and environmental change. Spring-sown crops that flowered without the need for an extended period of cold to promote flowering and day length-insensitive crops able to exploit the longer, cooler days of higher latitudes emerged and became established. To investigate the genetic consequences of adaptation to these new environments, we identified signatures of divergent selection in the highly differentiated modern-day spring and winter barleys. In one genetically divergent region, we identify a natural variant of the barley homolog of Antirrhinum CENTRORADIALIS (HvCEN) as a contributor to successful environmental adaptation. The distribution of HvCEN alleles in a large collection of wild and landrace accessions indicates that this involved selection and enrichment of preexisting genetic variants rather than the acquisition of mutations after domestication.
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              Association genetics in crop improvement.

              Increased availability of high throughput genotyping technology together with advances in DNA sequencing and in the development of statistical methodology appropriate for genome-wide association scan mapping in presence of considerable population structure contributed to the increased interest association mapping in plants. While most published studies in crop species are candidate gene-based, genome-wide studies are on the increase. New types of populations providing for increased resolution and power of detection of modest-size effects and for the analysis of epistatic interactions have been developed. Classical biparental mapping remains the method of choice for mapping the effects of alleles rare in germplasm collections, such as some disease resistance genes or alleles introgressed from exotic germplasm.
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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                12 June 2020
                2020
                : 11
                : 761
                Affiliations
                Department Crop and Soil Science, Oregon State University , Corvallis, OR, United States
                Author notes

                Edited by: Mariola Plazas, Polytechnic University of Valencia, Spain

                Reviewed by: Michael Baum, International Center for Agricultural Research in the Dry Areas (ICARDA), Morocco; Shengguan Cai, Zhejiang University, China

                *Correspondence: Javier Hernandez, hernanfr@ 123456oregonstate.edu

                This article was submitted to Plant Breeding, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2020.00761
                7303309
                32595671
                c55bc7a0-c502-453d-b419-3516428730df
                Copyright © 2020 Hernandez, Meints and Hayes.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 10 March 2020
                : 13 May 2020
                Page count
                Figures: 5, Tables: 2, Equations: 0, References: 103, Pages: 15, Words: 0
                Funding
                Funded by: U.S. Department of Agriculture 10.13039/100000199
                Funded by: U.S. Department of Agriculture 10.13039/100000199
                Funded by: Comisión Nacional de Investigación Científica y Tecnológica 10.13039/501100002848
                Categories
                Plant Science
                Review

                Plant science & Botany
                genetic resources,multi-rust resistance,haplotype,high throughput genotyping,genetic diversity,genetic mapping

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