Ethiopia's sesame productivity is low and below the world average. This low productivity is influenced by different yield limiting factors, the most important one is a lack of high-yielding improved varieties. It is basic to be understand the genetic variation and characters association. As a result, the objectives of this research was to determined the extent of genetic variation and its relationship to yield and 19 yield components. From 2017 to 2018, 100 genotypes were tested at Amibara in a 10 x 10 triple lattice design over two consequetive cropping seasons. Combined analysis of variance over the two years, the genotypes differed significantly for all of the characters considered. Plant height, number of capsules per plant, harvest index and seed yield had medium PCV and GCV values, whereas shattering resistance had high PCV and GCV values. Shattering resistance, plant height, capsule per plant, harvest index and seed yield all had high heritability values combined with moderate to high genetic progress as a percentage of mean (GAM). The length of capsule bearing zone and first capsule, capsule per main axis, number of capsules per plant, harvest index and oil content were all related to seed yield in a positive and significant association. Path coefficient analysis revealed that capsules per main axis, capsules per plant and harvest index all had a positive direct effect on seed yield. D2 analysis, the 100 sesame genotypes were divided into seven groups. As a result, the genotypes become moderately divergent. Allowing to principal component analysis, seven principal components assessed for 78.67% of the total variation. Genotypes with more capsules per main axis, capsules per plant, and high harvest index, harmonizing to the findings should increase sesame seed yield. In this study, these characters were discovered to be important yield contributing characteristics, and selection based on these characters would be most effective. More research in multiple locations, is required to provide conclusive results. In this study, only morphological characteristics were used. As a result, future research should deliberate using molecular markers and high-throughput molecular data to evaluate sesame genetic resources for marker assisted breeding.
Published in | Ecology and Evolutionary Biology (Volume 7, Issue 3) |
DOI | 10.11648/j.eeb.20220703.11 |
Page(s) | 30-45 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2022. Published by Science Publishing Group |
Clustering, Diversity, Genetic Advance, Heritability, Principal Component, Sesame
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APA Style
Mohammed Hassen. (2022). Morphological Characteristics of Sesame (Sesamum indicum L.) Genotypes Via Genetic Diversity and Characters Association in Amibara, Ethiopia. Ecology and Evolutionary Biology, 7(3), 30-45. https://doi.org/10.11648/j.eeb.20220703.11
ACS Style
Mohammed Hassen. Morphological Characteristics of Sesame (Sesamum indicum L.) Genotypes Via Genetic Diversity and Characters Association in Amibara, Ethiopia. Ecol. Evol. Biol. 2022, 7(3), 30-45. doi: 10.11648/j.eeb.20220703.11
@article{10.11648/j.eeb.20220703.11, author = {Mohammed Hassen}, title = {Morphological Characteristics of Sesame (Sesamum indicum L.) Genotypes Via Genetic Diversity and Characters Association in Amibara, Ethiopia}, journal = {Ecology and Evolutionary Biology}, volume = {7}, number = {3}, pages = {30-45}, doi = {10.11648/j.eeb.20220703.11}, url = {https://doi.org/10.11648/j.eeb.20220703.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eeb.20220703.11}, abstract = {Ethiopia's sesame productivity is low and below the world average. This low productivity is influenced by different yield limiting factors, the most important one is a lack of high-yielding improved varieties. It is basic to be understand the genetic variation and characters association. As a result, the objectives of this research was to determined the extent of genetic variation and its relationship to yield and 19 yield components. From 2017 to 2018, 100 genotypes were tested at Amibara in a 10 x 10 triple lattice design over two consequetive cropping seasons. Combined analysis of variance over the two years, the genotypes differed significantly for all of the characters considered. Plant height, number of capsules per plant, harvest index and seed yield had medium PCV and GCV values, whereas shattering resistance had high PCV and GCV values. Shattering resistance, plant height, capsule per plant, harvest index and seed yield all had high heritability values combined with moderate to high genetic progress as a percentage of mean (GAM). The length of capsule bearing zone and first capsule, capsule per main axis, number of capsules per plant, harvest index and oil content were all related to seed yield in a positive and significant association. Path coefficient analysis revealed that capsules per main axis, capsules per plant and harvest index all had a positive direct effect on seed yield. D2 analysis, the 100 sesame genotypes were divided into seven groups. As a result, the genotypes become moderately divergent. Allowing to principal component analysis, seven principal components assessed for 78.67% of the total variation. Genotypes with more capsules per main axis, capsules per plant, and high harvest index, harmonizing to the findings should increase sesame seed yield. In this study, these characters were discovered to be important yield contributing characteristics, and selection based on these characters would be most effective. More research in multiple locations, is required to provide conclusive results. In this study, only morphological characteristics were used. As a result, future research should deliberate using molecular markers and high-throughput molecular data to evaluate sesame genetic resources for marker assisted breeding.}, year = {2022} }
TY - JOUR T1 - Morphological Characteristics of Sesame (Sesamum indicum L.) Genotypes Via Genetic Diversity and Characters Association in Amibara, Ethiopia AU - Mohammed Hassen Y1 - 2022/07/22 PY - 2022 N1 - https://doi.org/10.11648/j.eeb.20220703.11 DO - 10.11648/j.eeb.20220703.11 T2 - Ecology and Evolutionary Biology JF - Ecology and Evolutionary Biology JO - Ecology and Evolutionary Biology SP - 30 EP - 45 PB - Science Publishing Group SN - 2575-3762 UR - https://doi.org/10.11648/j.eeb.20220703.11 AB - Ethiopia's sesame productivity is low and below the world average. This low productivity is influenced by different yield limiting factors, the most important one is a lack of high-yielding improved varieties. It is basic to be understand the genetic variation and characters association. As a result, the objectives of this research was to determined the extent of genetic variation and its relationship to yield and 19 yield components. From 2017 to 2018, 100 genotypes were tested at Amibara in a 10 x 10 triple lattice design over two consequetive cropping seasons. Combined analysis of variance over the two years, the genotypes differed significantly for all of the characters considered. Plant height, number of capsules per plant, harvest index and seed yield had medium PCV and GCV values, whereas shattering resistance had high PCV and GCV values. Shattering resistance, plant height, capsule per plant, harvest index and seed yield all had high heritability values combined with moderate to high genetic progress as a percentage of mean (GAM). The length of capsule bearing zone and first capsule, capsule per main axis, number of capsules per plant, harvest index and oil content were all related to seed yield in a positive and significant association. Path coefficient analysis revealed that capsules per main axis, capsules per plant and harvest index all had a positive direct effect on seed yield. D2 analysis, the 100 sesame genotypes were divided into seven groups. As a result, the genotypes become moderately divergent. Allowing to principal component analysis, seven principal components assessed for 78.67% of the total variation. Genotypes with more capsules per main axis, capsules per plant, and high harvest index, harmonizing to the findings should increase sesame seed yield. In this study, these characters were discovered to be important yield contributing characteristics, and selection based on these characters would be most effective. More research in multiple locations, is required to provide conclusive results. In this study, only morphological characteristics were used. As a result, future research should deliberate using molecular markers and high-throughput molecular data to evaluate sesame genetic resources for marker assisted breeding. VL - 7 IS - 3 ER -