Research Article
Genetic Variability and Heritability of Morpho-Agronomic Traits, Oil Yield and Fatty Acid Components in Linseed (Linumusitatissimum L.) Germplasm in Ethiopia
Tadesse Ghiday*,
Wassu Mohamed,
Yemane Tsehaye,
Adugna Wakjira,
Chemeda Daba,
Teasfaye Disasa
Issue:
Volume 12, Issue 2, June 2024
Pages:
19-33
Received:
29 April 2024
Accepted:
17 May 2024
Published:
8 July 2024
Abstract: Comprehensive information on genetic variability and selection parameters is very crucial to design breeding strategies. However, very limited information is available in Ethiopian linseed germplasm. Therefore, the present study was conducted to estimate genetic variability, broad sense heritability and genetic advance; and determine selection for 19 quantitative traits using 126 genotypes (120 Ethiopian linseed accessions and six released varieties). The analysis of variance showed highly significant (P < 0.01) differences for all of the traits demonstrating the presence of high genetic diversity among the studied linseed genotypes. Higher differences between PCV and GCV estimates were observed for seed yield per plant and biological yield per plant, signifying the importance of environmental factors influence. High heritability coupled with high genetic advance was observed for seed yield per plant and biological yield per plant, indicating that this high heritability is due to additive gene effects and therefore, selection can be effective for the improvement of linseed for these traits. In addition, moderate heritability coupled with moderate genetic advance was recorded for oil yield per hectare, number of capsules, number of secondary branches, days to maturity, seed yield per hectare and plant height. These results indicated the existence of intermediate expression in these traits for both additive and dominance gene effect. In the present study, high heritability coupled with high GAM was observed for seed yield per plant and biological yield per plant, indicating greater contribution of additive gene action for the expression of these traits; and therefore, improvement can be achieved through selection in these traits.
Abstract: Comprehensive information on genetic variability and selection parameters is very crucial to design breeding strategies. However, very limited information is available in Ethiopian linseed germplasm. Therefore, the present study was conducted to estimate genetic variability, broad sense heritability and genetic advance; and determine selection for ...
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Review Article
Application and Progress of Mendelian Randomization in Intervertebral Disc Degeneration
Weichao Yang
,
Dongping Ye*
Issue:
Volume 12, Issue 2, June 2024
Pages:
34-41
Received:
18 November 2024
Accepted:
29 November 2024
Published:
16 December 2024
DOI:
10.11648/j.ijbse.20241202.12
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Abstract: Intervertebral disc degeneration (IVDD) is a prevalent degenerative disease and risk factors for it are complex and diverse. Due to limitations in observational research, identifying causal risk factors remains challenging. Mendelian randomization (MR), leveraging genetic variation as an instrumental variable (IV), has emerged as a powerful tool to study causal associations, overcoming issues of confounding bias and reverse causality. This review aims to summarise the progress of MR in exploring the causal relationship between IVDD and various associated risk factors. By summarizing 56 relevant publications retrieved from the Pubmed database, this review found significant causal links between IVDD and factors such as inflammatory cytokines, metabolism-related molecules, bacteria, smoking, and high bone mineral density. Conversely, no significant causal associations were found with LDL, total cholesterol, ApoB, serum uric acid levels, physical activity, and osteoporosis. Finally, MR not only supports observational findings but also opens new avenues for future research into IVDD causes.
Abstract: Intervertebral disc degeneration (IVDD) is a prevalent degenerative disease and risk factors for it are complex and diverse. Due to limitations in observational research, identifying causal risk factors remains challenging. Mendelian randomization (MR), leveraging genetic variation as an instrumental variable (IV), has emerged as a powerful tool to...
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