Multivariate analysis of agronomic characteristics in some Egyptian barley landraces: a field-based quantitative study.
Gespeichert in:
| Titel: | Multivariate analysis of agronomic characteristics in some Egyptian barley landraces: a field-based quantitative study. |
|---|---|
| Autoren: | Abdelghany M; Crop Science Department, Faculty of Agriculture, Damanhour University, Damanhour, 22516, Egypt. MHamad@agr.dmu.edu.eg., Saad KI; Genetic Resources Research Department (GRRD), Field Crops Research Institute (FCRI), Agricultural Research Center (ARC), Giza, 12619, Egypt., Dakrory M; Crop Science Department, Faculty of Agriculture, Damanhour University, Damanhour, 22516, Egypt., Amer KE; Crop Science Department, Faculty of Agriculture, Damanhour University, Damanhour, 22516, Egypt. |
| Quelle: | BMC plant biology [BMC Plant Biol] 2025 Nov 14; Vol. 25 (1), pp. 1565. Date of Electronic Publication: 2025 Nov 14. |
| Publikationsart: | Journal Article |
| Sprache: | English |
| Info zur Zeitschrift: | Publisher: BioMed Central Country of Publication: England NLM ID: 100967807 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2229 (Electronic) Linking ISSN: 14712229 NLM ISO Abbreviation: BMC Plant Biol Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London : BioMed Central, [2001- |
| MeSH-Schlagworte: | Hordeum*/genetics , Hordeum*/growth & development, Egypt ; Multivariate Analysis ; Genetic Variation ; Cluster Analysis ; Principal Component Analysis ; Edible Grain/genetics ; Edible Grain/growth & development |
| Abstract: | Competing Interests: Declarations. Ethics approval and consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests. Background: Barley is a significant cereal crop in Egypt, with the potential to be used for its endurance against harsh environmental conditions, particularly in arid and semi-arid regions. The current study was conducted to assess the genetic diversity and relationships among agronomic traits of 81 Egyptian barley landraces using multivariate statistical tools like principal component analysis, cluster analysis, path analysis, and correlation analysis. The parameters recorded were days to heading, days to maturity, plant height, grain yield, spikes per square meter, grains per spike, and thousand-grain weight. Results: The Pearson correlation heatmap showed strong relationships between the agronomic characteristics assessed in 81 barley landraces. The number of spikes per square meter and grain yield showed the largest favorable relationships (r = 0.77). The circular dendrogram revealed four major clusters with distinct branch groupings related to the 81 landraces. The hierarchical clustering of the traits resulted in the formation of two large clusters. Cluster I includes days to heading and maturity. The remaining five traits are separated into two smaller groups and belong to cluster II. The first and second primary components account for 53.6% of the entire variation, with 31.1% and 22.5% of the total variation, respectively. Regarding the direct effects, grain yield was most positively impacted by the number of spikes per square meter. Grain yield was indirectly positively impacted by plant height and the number of spikes per square meter through the number of grains per spike characteristic. Conclusions: Multivariate analysis is employed in the revelation of interrelationships' correlations of traits among Egyptian barley landraces. Number of spikes per square meter and number of grains per spike were the most correlated traits influencing grain yield and, therefore, should be prioritized in breeding schemes. The findings can be used to aid the selection of high-performance genotypes for yields improvement and tolerance to stressful environments. (© 2025. The Author(s).) |
| References: | J Appl Genet. 2023 May;64(2):289-302. (PMID: 36897474) Plants (Basel). 2021 Nov 20;10(11):. (PMID: 34834891) PLoS One. 2018 Jul 18;13(7):e0196652. (PMID: 30020920) Front Plant Sci. 2022 Feb 24;13:771920. (PMID: 35283876) Foods. 2021 Feb 11;10(2):. (PMID: 33670193) Genome Biol. 2015 Aug 26;16:176. (PMID: 26306561) Plants (Basel). 2021 Jul 30;10(8):. (PMID: 34451619) Nature. 2017 Apr 26;544(7651):427-433. (PMID: 28447635) Front Plant Sci. 2023 May 10;14:1189642. (PMID: 37235004) Heliyon. 2022 Oct 08;8(10):e10949. (PMID: 36262303) Plant Cell. 2024 Jul 2;36(7):2512-2530. (PMID: 38635902) J Exp Bot. 2022 Apr 5;73(7):2005-2020. (PMID: 34864992) Genetics. 2004 Aug;167(4):1529-36. (PMID: 15342495) Front Genet. 2023 Jan 05;13:1039996. (PMID: 36685930) J Exp Bot. 2016 Apr;67(8):2507-18. (PMID: 26936829) Genome. 1996 Oct;39(5):957-68. (PMID: 18469947) Sci Rep. 2019 Apr 25;9(1):6397. (PMID: 31024028) Plants (Basel). 2022 Dec 14;11(24):. (PMID: 36559630) Front Plant Sci. 2022 Nov 21;13:1015609. (PMID: 36479522) Theor Appl Genet. 2021 Jul;134(7):1867-1897. (PMID: 33969431) J Exp Bot. 2009;60(9):2541-52. (PMID: 19451185) PLoS One. 2018 Nov 7;13(11):e0205880. (PMID: 30403701) |
| Contributed Indexing: | Keywords: Phenotypic diversity and cluster analysis; Principal component analysis |
| Entry Date(s): | Date Created: 20251114 Date Completed: 20251115 Latest Revision: 20251117 |
| Update Code: | 20251117 |
| PubMed Central ID: | PMC12616932 |
| DOI: | 10.1186/s12870-025-07512-8 |
| PMID: | 41239214 |
| Datenbank: | MEDLINE |
Full Text 
Full Text Finder 
Nájsť tento článok vo Web of Science | Abstract: | Competing Interests: Declarations. Ethics approval and consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.<br />Background: Barley is a significant cereal crop in Egypt, with the potential to be used for its endurance against harsh environmental conditions, particularly in arid and semi-arid regions. The current study was conducted to assess the genetic diversity and relationships among agronomic traits of 81 Egyptian barley landraces using multivariate statistical tools like principal component analysis, cluster analysis, path analysis, and correlation analysis. The parameters recorded were days to heading, days to maturity, plant height, grain yield, spikes per square meter, grains per spike, and thousand-grain weight.<br />Results: The Pearson correlation heatmap showed strong relationships between the agronomic characteristics assessed in 81 barley landraces. The number of spikes per square meter and grain yield showed the largest favorable relationships (r = 0.77). The circular dendrogram revealed four major clusters with distinct branch groupings related to the 81 landraces. The hierarchical clustering of the traits resulted in the formation of two large clusters. Cluster I includes days to heading and maturity. The remaining five traits are separated into two smaller groups and belong to cluster II. The first and second primary components account for 53.6% of the entire variation, with 31.1% and 22.5% of the total variation, respectively. Regarding the direct effects, grain yield was most positively impacted by the number of spikes per square meter. Grain yield was indirectly positively impacted by plant height and the number of spikes per square meter through the number of grains per spike characteristic.<br />Conclusions: Multivariate analysis is employed in the revelation of interrelationships' correlations of traits among Egyptian barley landraces. Number of spikes per square meter and number of grains per spike were the most correlated traits influencing grain yield and, therefore, should be prioritized in breeding schemes. The findings can be used to aid the selection of high-performance genotypes for yields improvement and tolerance to stressful environments.<br /> (© 2025. The Author(s).) |
|---|---|
| ISSN: | 1471-2229 |
| DOI: | 10.1186/s12870-025-07512-8 |