Developing sunflower cultivars with better performance is the aim of the current breeding program. This study was conducted to evaluate sunflower genotypes along with their standard check for their mean performance and genetic diversity following different biometrician techniques. Twenty five sunflower genotypes were evaluated for their performance and variability for yield and yield related traits. It was conducted at two locations namely; Holeta and Adadi using simple lattice design. All recommended packages were followed as per national recommendation. Data were recorded for eleven quantitative traits and subjected to analysis of variance and divergence analysis using a combination of software. The mean performance evaluation indicates that genotype NK-KONDI-SPS-7/-had the highest yield mean and genotype Brazil Long seed PL2-SPS-3/4 recorded the lowest yield mean. Based on relative magnitude of D2 values the genotypes were grouped in five clusters. cluster I comprised of five genotypes while cluster II, clusterIII, clusterIV and cluster V comprised of seven, five, four and four genotypes respectively. The index of genetic diversity shown by the statistical distance indicates cluster- had the highest intra cluster distance and cluster- had the lowest intra cluster distance. The highest inter cluster distance was observed between cluster three and cluster four whereas the lowest inter cluster distance was noticed between cluster one and cluster four.
Published in | World Journal of Agricultural Science and Technology (Volume 1, Issue 4) |
DOI | 10.11648/j.wjast.20230104.17 |
Page(s) | 122-127 |
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. |
Copyright |
Copyright © The Author(s), 2023. Published by Science Publishing Group |
Cluster Analysis, Genetic Divergence, Helianthus annus L., Means Performance
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APA Style
Abu, M. (2023). Mean Performance Evaluation and Cluster Analysis in Sunflower (Helianthus annus L) Genotypes Tested at Central Highland of Ethiopia. World Journal of Agricultural Science and Technology, 1(4), 122-127. https://doi.org/10.11648/j.wjast.20230104.17
ACS Style
Abu, M. Mean Performance Evaluation and Cluster Analysis in Sunflower (Helianthus annus L) Genotypes Tested at Central Highland of Ethiopia. World J. Agric. Sci. Technol. 2023, 1(4), 122-127. doi: 10.11648/j.wjast.20230104.17
AMA Style
Abu M. Mean Performance Evaluation and Cluster Analysis in Sunflower (Helianthus annus L) Genotypes Tested at Central Highland of Ethiopia. World J Agric Sci Technol. 2023;1(4):122-127. doi: 10.11648/j.wjast.20230104.17
@article{10.11648/j.wjast.20230104.17, author = {Mohammed Abu}, title = {Mean Performance Evaluation and Cluster Analysis in Sunflower (Helianthus annus L) Genotypes Tested at Central Highland of Ethiopia}, journal = {World Journal of Agricultural Science and Technology}, volume = {1}, number = {4}, pages = {122-127}, doi = {10.11648/j.wjast.20230104.17}, url = {https://doi.org/10.11648/j.wjast.20230104.17}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wjast.20230104.17}, abstract = {Developing sunflower cultivars with better performance is the aim of the current breeding program. This study was conducted to evaluate sunflower genotypes along with their standard check for their mean performance and genetic diversity following different biometrician techniques. Twenty five sunflower genotypes were evaluated for their performance and variability for yield and yield related traits. It was conducted at two locations namely; Holeta and Adadi using simple lattice design. All recommended packages were followed as per national recommendation. Data were recorded for eleven quantitative traits and subjected to analysis of variance and divergence analysis using a combination of software. The mean performance evaluation indicates that genotype NK-KONDI-SPS-7/-had the highest yield mean and genotype Brazil Long seed PL2-SPS-3/4 recorded the lowest yield mean. Based on relative magnitude of D2 values the genotypes were grouped in five clusters. cluster I comprised of five genotypes while cluster II, clusterIII, clusterIV and cluster V comprised of seven, five, four and four genotypes respectively. The index of genetic diversity shown by the statistical distance indicates cluster- had the highest intra cluster distance and cluster- had the lowest intra cluster distance. The highest inter cluster distance was observed between cluster three and cluster four whereas the lowest inter cluster distance was noticed between cluster one and cluster four. }, year = {2023} }
TY - JOUR T1 - Mean Performance Evaluation and Cluster Analysis in Sunflower (Helianthus annus L) Genotypes Tested at Central Highland of Ethiopia AU - Mohammed Abu Y1 - 2023/11/11 PY - 2023 N1 - https://doi.org/10.11648/j.wjast.20230104.17 DO - 10.11648/j.wjast.20230104.17 T2 - World Journal of Agricultural Science and Technology JF - World Journal of Agricultural Science and Technology JO - World Journal of Agricultural Science and Technology SP - 122 EP - 127 PB - Science Publishing Group SN - 2994-7332 UR - https://doi.org/10.11648/j.wjast.20230104.17 AB - Developing sunflower cultivars with better performance is the aim of the current breeding program. This study was conducted to evaluate sunflower genotypes along with their standard check for their mean performance and genetic diversity following different biometrician techniques. Twenty five sunflower genotypes were evaluated for their performance and variability for yield and yield related traits. It was conducted at two locations namely; Holeta and Adadi using simple lattice design. All recommended packages were followed as per national recommendation. Data were recorded for eleven quantitative traits and subjected to analysis of variance and divergence analysis using a combination of software. The mean performance evaluation indicates that genotype NK-KONDI-SPS-7/-had the highest yield mean and genotype Brazil Long seed PL2-SPS-3/4 recorded the lowest yield mean. Based on relative magnitude of D2 values the genotypes were grouped in five clusters. cluster I comprised of five genotypes while cluster II, clusterIII, clusterIV and cluster V comprised of seven, five, four and four genotypes respectively. The index of genetic diversity shown by the statistical distance indicates cluster- had the highest intra cluster distance and cluster- had the lowest intra cluster distance. The highest inter cluster distance was observed between cluster three and cluster four whereas the lowest inter cluster distance was noticed between cluster one and cluster four. VL - 1 IS - 4 ER -