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Capo-chichi LJA, Elakhdar A, Kubo T, Nyachiro J, Juskiw P, Capettini F, Slaski JJ, Ramirez GH, Beattie AD. Genetic diversity and population structure assessment of Western Canadian barley cooperative trials. Front Plant Sci 2023; 13:1006719. [PMID: 36699829 PMCID: PMC9868428 DOI: 10.3389/fpls.2022.1006719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 11/25/2022] [Indexed: 06/17/2023]
Abstract
Studying the population structure and genetic diversity of historical datasets is a proposed use for association analysis. This is particularly important when the dataset contains traits that are time-consuming or costly to measure. A set of 96 elite barley genotypes, developed from eight breeding programs of the Western Canadian Cooperative Trials were used in the current study. Genetic diversity, allelic variation, and linkage disequilibrium (LD) were investigated using 5063 high-quality SNP markers via the Illumina 9K Barley Infinium iSelect SNP assay. The distribution of SNPs markers across the barley genome ranged from 449 markers on chromosome 1H to 1111 markers on chromosome 5H. The average polymorphism information content (PIC) per locus was 0.275 and ranged from 0.094 to 0.375. Bayesian clustering in STRUCTURE and principal coordinate analysis revealed that the populations are differentiated primarily due to the different breeding program origins and ear-row type into five subpopulations. Analysis of molecular variance based on PhiPT values suggested that high values of genetic diversity were observed within populations and accounted for 90% of the total variance. Subpopulation 5 exhibited the most diversity with the highest values of the diversity indices, which represent the breeding program gene pool of AFC, AAFRD, AU, and BARI. With increasing genetic distance, the LD values, expressed as r2, declined to below the critical r2 = 0.18 after 3.91 cM, and the same pattern was observed on each chromosome. Our results identified an important pattern of genetic diversity among the Canadian barley panel that was proposed to be representative of target breeding programs and may have important implications for association mapping in the future. This highlight, that efforts to identify novel variability underlying this diversity may present practical breeding opportunities to develop new barley genotypes.
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Affiliation(s)
- Ludovic J. A. Capo-chichi
- Department of Renewable Resources, Faculty of Agriculture, Life and Environmental Sciences, University of Alberta, Edmonton, AB, Canada
| | - Ammar Elakhdar
- Institute of Genetic Resources, Faculty of Agriculture, Kyushu University, Fukuoka, Japan
- Field Crops Research Institute, Agricultural Research Center, Giza, Egypt
| | - Takahiko Kubo
- Institute of Genetic Resources, Faculty of Agriculture, Kyushu University, Fukuoka, Japan
| | - Joseph Nyachiro
- Field Crop Development Centre, Alberta Agriculture and Forestry, Lacombe, AB, Canada
| | - Patricia Juskiw
- Field Crop Development Centre, Alberta Agriculture and Forestry, Lacombe, AB, Canada
| | - Flavio Capettini
- Field Crop Development Centre, Alberta Agriculture and Forestry, Lacombe, AB, Canada
| | - Jan J. Slaski
- Ecosystems and Plant Sciences, InnoTech Alberta Inc., Vegreville, AB, Canada
| | - Guillermo Hernandez Ramirez
- Department of Renewable Resources, Faculty of Agriculture, Life and Environmental Sciences, University of Alberta, Edmonton, AB, Canada
| | - Aaron D. Beattie
- Department of Plant Sciences, College of Agriculture and Bioresources, University of Saskatchewan, Saskatoon, SK, Canada
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Saleem AM, Bierworth RM, Yang W, Nyachiro J, Oatway L, McAllister TA. Identifying physical, chemical and biological characteristics to assess grain processing responses of barley as a trait for the selection of feed varieties for cattle. Anim Feed Sci Technol 2023. [DOI: 10.1016/j.anifeedsci.2023.115576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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Saleem AM, Nyachiro J, Gomaa WMS, Yang W, Oatway L, McAllister TA. Effects of barley type and processing method on rumen fermentation, dry matter disappearance and fermentation characteristics in batch cultures. Anim Feed Sci Technol 2020. [DOI: 10.1016/j.anifeedsci.2020.114625] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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