ORCID Profile
0000-0001-6408-6323
Current Organisation
Murdoch University
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Publisher: Elsevier BV
Date: 10-2018
Publisher: Springer Science and Business Media LLC
Date: 23-06-2020
Publisher: Springer Science and Business Media LLC
Date: 25-07-2022
DOI: 10.1007/S00122-022-04169-X
Abstract: Key genes controlling flowering and interactions of different photoperiod alleles with various environments were identified in a barley MAGIC population. A new candidate gene for vernalisation requirements was also detected. Optimal flowering time has a major impact on grain yield in crop species, including the globally important temperate cereal crop barley ( Hordeum vulgare L.). Understanding the genetics of flowering is a key avenue to enhancing yield potential. Although bi-parental populations were used intensively to map genes controlling flowering, their lack of genetic ersity requires additional work to obtain desired gene combinations in the selected lines, especially when the two parental cultivars did not carry the genes. Multi-parent mapping populations, which use a combination of four or eight parental cultivars, have higher genetic and phenotypic ersity and can provide novel genetic combinations that cannot be achieved using bi-parental populations. This study uses a Multi-parent advanced generation intercross (MAGIC) population from four commercial barley cultivars to identify genes controlling flowering time in different environmental conditions. Genome-wide association studies (GWAS) were performed using 5,112 high-quality markers from Diversity Arrays Technology sequencing (DArT-seq), and Kompetitive allele-specific polymerase chain reaction (KASP) genetic markers were developed. Phenotypic data were collected from fifteen different field trials for three consecutive years. Planting was conducted at various sowing times, and plants were grown with/without additional vernalisation and extended photoperiod treatments. This study detected fourteen stable regions associated with flowering time across multiple environments. GWAS combined with pangenome data highlighted the role of CEN gene in flowering and enabled the prediction of different CEN alleles from parental lines. As the founder lines of the multi-parental population are elite germplasm, the favourable alleles identified in this study are directly relevant to breeding, increasing the efficiency of subsequent breeding strategies and offering better grain yield and adaptation to growing conditions.
Publisher: Research Square Platform LLC
Date: 16-11-2021
DOI: 10.21203/RS.3.RS-1037957/V1
Abstract: Optimal flowering time has a major impact on grain yield in crop species, including the globally important temperate cereal crop barley ( Hordeum vulgare L.). Understanding the genetics of flowering is a key avenue to enhance yield potential. Bi-parental populations were used intensively to map genes controlling flowering. However, the lack of genetic ersity in bi-parental populations can lead to low mapping resolution and low allele richness, rendering the identification of underlying functional alleles difficult. Multiparent mapping populations such as nested association mapping (NAM) and multiparent advanced generation intercross (MAGIC) can overcome these limitations. The higher genetic and phenotypic ersity of multiple parents allows high-resolution quantitative trait loci (QTL) mapping. In this study, we use a MAGIC population from four commercial barley cultivars to identify genes controlling flowering time in different environmental conditions. Genome-wide association studies (GWAS) were performed using 5,112 high-quality markers from Diversity Arrays Technology sequencing (DArT-seq) and Kompetitive allele-specific polymerase chain reaction (KASP) genotyping. Phenotypic data was collected from 15 trials at different sites, across three consecutive years, various sowing times with/without vernalisation and extended photoperiod. This study detected 14 stable regions associated with flowering time across multiple environments. Minor regions associated with flowering time in certain environmental conditions were also identified. GWAS combined with pangenome data highlighted the role of CEN gene in flowering and enabled the prediction of different CEN alleles from parental lines. These associations provide opportunities to utilise specific genes/alleles to create barley varieties with better grain yield and adaptation to growing conditions.
Publisher: Springer Science and Business Media LLC
Date: 07-2021
Publisher: Springer Science and Business Media LLC
Date: 02-01-2018
Publisher: Elsevier BV
Date: 06-2018
Location: Australia
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