Cluster Analysis for Evaluation of Genetic Diversity inEnset (Enset ventricosum(Welw.) Cheesman) Clones at Areka Condition

MikiasYeshitila Haile

doi:doi:10.11648/j.jps.20140201.20

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Cluster Analysis for Evaluation of Genetic Diversity inEnset (Enset ventricosum(Welw.) Cheesman) Clones at Areka Condition

MikiasYeshitila Haile

Published in Journal of Plant Sciences (Volume 2, Issue 1)

Received: 14 January 2014 Published: 28 February 2014

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Abstract

279accessions of Enset ventricosum were tested at ArekaAgriculturalResearchCenterin a non-replicated field. The objectives of the study were to assess the diversity of these accessions based on key morphological descriptors and evaluate the accessions based on yield and yield related traits. Data on six qualitative and 22 quantitative traits were collected and subjected to various statistical analyses. Cluster analysis based on qualitative characters indicated the formation of six clusters and existence of variability, based on their leaf, midrib and petiole traits. The result of Shannon-Weaver diversity index (H`) showed thatlowlevels of diversity existed among the 279 Enset ventricosumaccessions based on the frequency of the phenotypic charactersconsidered. Analysis of variance for quantitative characters indicated significant variation among the accessions in all the 22 yield and yield components of an enset plant. Cluster analysis based on quantitative characters indicated the formation of six clusters and showing cluster five with the highest values for yield and yield components for the majority of the characters followed by cluster IV. The cluster and distance analysis of quantitative characters pointed out the distance between most of the clusters were highly significant (P < 0.01) suggesting diversity among accessions in different clusters. The maximum inter-clusters distance (D2 = 256.45) was noticed between cluster III and V followed by I and V (D2 = 228.59) and II and V (D2 = 206.10) suggesting diversity between these groups. Correlation study between various quantitative characters showed highly significant association among characters. Maturity time has a negative correlation with yield and yield components of an enset plant.

Published in	Journal of Plant Sciences (Volume 2, Issue 1)
DOI	10.11648/j.jps.20140201.20
Page(s)	55-69
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), 2014. Published by Science Publishing Group

Keywords

Enset ventricosum, Cluster Analysis, Diversity, Association

References

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[3]	Endale T. 1997. Morphological characterization of enset (Enset ventricosum (Welw.) Cheesman) clones and the association of yield with different traits. MSc Thesis, Alemaya University of Agriculture, Alemaya, Ethiopia, p 89.
[4]	Mahalanobis PC. 1936. On the generalized distance in statistics. Proc. Natl. Sci. India B. 2: 49-55.
[5]	Crossa J. 1990. Statistical analysis of multi-location trials. Advances in Agronomy 44: 55-85.
[6]	Olmstead J. 1974. The versatile enset plant: its use in Gamo highlands. Journal of Ethiopian Studies 9(2):147-153.
[7]	Hawkes JG. 1983. Intraspecific classification the problems. In: Styles BT (ed). Intra-specific classification of wild and cultivated plants. Clarendon Press, Oxford1-7.
[8]	Atnafua B, ErmiasT, Endale T, Mikias Y, Mulugeta D, Yohannes T. 2008. Enset variety development. In: Gebremedhin WG (ed). Root and tuber crops the untapped resources. EIAR, Ethiopia 157-193.
[9]	Bayush T. 1991. Community management of crop genetic resource in the enset complex farming system of Southern Ethiopia. A case study from Sidamo Region. MSc. Thesis. Agricultural University of Norway, Norway.
[10]	Endale T, Terefe B, Mulugeta D, Geleta L. 1994. Improvement study of enset and sweet potato. In: Edward H and Lemma D (ed).Proceedings of the Second National Horticultural Workshop of Ethiopia.1-3 Dec. 1992, IAR, Ethiopia63-74.
[11]	Tewodros M. 2008. Morphological characterization and preliminary evaluation of Aerial yam (Dioscoreabulbifera) accessionscollected from south and southwestern Ethiopia. M.Sc. Thesis, Hawassa University, Awassa, Ethiopia.
[12]	Endale T, Mulugeta D, Bezuayehu H. 1996. Review of past andpresent enset improvement activities. In: Tsedeke A, Clifton H, Steven B, Seifu GM (ed). Proceedings of the First International workshop on Enset. 13-20 Dec. 1993, Addis Ababa, Ethiopia228-234.
[13]	Ethiopian Mapping Authority. 1988. National Atlas of Ethiopia (1st. ed). BerhanenaSelam Printing Press, Addis Ababa, Ethiopia.
[14]	Asrat A, Hailu A, Shewangizaw T. 1991. Meteorological Data for IAR Centers, Sub-centers and Trail sites. Miscellaneous Pub. No. 1, IAR, Addis Ababa, Ethiopia
[15]	Hailu A, Shewangizaw T, Kumlachew A. 1993. Agro-meteorological data summery. 1992 and term monthly mean. IAR, Nazreth, Ethiopia.
[16]	Murphey HF. 1959. Soils of Ethiopia: A report on the fertility status of some soils of Ethiopia. Experiment Station Bull. No. 1. Imperial Ethiopia College of Agriculture and Mechanical Arts, Alemaya, Ethiopia

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APA Style

MikiasYeshitila Haile. (2014). Cluster Analysis for Evaluation of Genetic Diversity inEnset (Enset ventricosum(Welw.) Cheesman) Clones at Areka Condition. Journal of Plant Sciences, 2(1), 55-69. https://doi.org/10.11648/j.jps.20140201.20

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ACS Style

MikiasYeshitila Haile. Cluster Analysis for Evaluation of Genetic Diversity inEnset (Enset ventricosum(Welw.) Cheesman) Clones at Areka Condition. J. Plant Sci. 2014, 2(1), 55-69. doi: 10.11648/j.jps.20140201.20

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AMA Style

MikiasYeshitila Haile. Cluster Analysis for Evaluation of Genetic Diversity inEnset (Enset ventricosum(Welw.) Cheesman) Clones at Areka Condition. J Plant Sci. 2014;2(1):55-69. doi: 10.11648/j.jps.20140201.20

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@article{10.11648/j.jps.20140201.20,
  author = {MikiasYeshitila Haile},
  title = {Cluster Analysis for Evaluation of Genetic Diversity inEnset (Enset ventricosum(Welw.) Cheesman) Clones at Areka Condition},
  journal = {Journal of Plant Sciences},
  volume = {2},
  number = {1},
  pages = {55-69},
  doi = {10.11648/j.jps.20140201.20},
  url = {https://doi.org/10.11648/j.jps.20140201.20},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20140201.20},
  abstract = {279accessions of Enset ventricosum were tested at ArekaAgriculturalResearchCenterin a non-replicated field. The objectives of the study were to assess the diversity of these accessions based on key morphological descriptors and evaluate the accessions based on yield and yield related traits. Data on six qualitative and 22 quantitative traits were collected and subjected to various statistical analyses. Cluster analysis based on qualitative characters indicated the formation of six clusters and existence of variability, based on their leaf, midrib and petiole traits. The result of Shannon-Weaver diversity index (H`) showed thatlowlevels of diversity existed among the 279 Enset ventricosumaccessions based on the frequency of the phenotypic charactersconsidered. Analysis of variance for quantitative characters indicated significant variation among the accessions in all the 22 yield and yield components of an enset plant. Cluster analysis based on quantitative characters indicated the formation of six clusters and showing cluster five with the highest values for yield and yield components for the majority of the characters followed by cluster IV. The cluster and distance analysis of quantitative characters pointed out the distance between most of the clusters were highly significant (P < 0.01) suggesting diversity among accessions in different clusters. The maximum inter-clusters distance (D2 = 256.45) was noticed between cluster III and V followed by I and V (D2 = 228.59) and II and V (D2 = 206.10) suggesting diversity between these groups. Correlation study between various quantitative characters showed highly significant association among characters. Maturity time has a negative correlation with yield and yield components of an enset plant.},
 year = {2014}
}

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TY  - JOUR
T1  - Cluster Analysis for Evaluation of Genetic Diversity inEnset (Enset ventricosum(Welw.) Cheesman) Clones at Areka Condition
AU  - MikiasYeshitila Haile
Y1  - 2014/02/28
PY  - 2014
N1  - https://doi.org/10.11648/j.jps.20140201.20
DO  - 10.11648/j.jps.20140201.20
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 55
EP  - 69
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20140201.20
AB  - 279accessions of Enset ventricosum were tested at ArekaAgriculturalResearchCenterin a non-replicated field. The objectives of the study were to assess the diversity of these accessions based on key morphological descriptors and evaluate the accessions based on yield and yield related traits. Data on six qualitative and 22 quantitative traits were collected and subjected to various statistical analyses. Cluster analysis based on qualitative characters indicated the formation of six clusters and existence of variability, based on their leaf, midrib and petiole traits. The result of Shannon-Weaver diversity index (H`) showed thatlowlevels of diversity existed among the 279 Enset ventricosumaccessions based on the frequency of the phenotypic charactersconsidered. Analysis of variance for quantitative characters indicated significant variation among the accessions in all the 22 yield and yield components of an enset plant. Cluster analysis based on quantitative characters indicated the formation of six clusters and showing cluster five with the highest values for yield and yield components for the majority of the characters followed by cluster IV. The cluster and distance analysis of quantitative characters pointed out the distance between most of the clusters were highly significant (P < 0.01) suggesting diversity among accessions in different clusters. The maximum inter-clusters distance (D2 = 256.45) was noticed between cluster III and V followed by I and V (D2 = 228.59) and II and V (D2 = 206.10) suggesting diversity between these groups. Correlation study between various quantitative characters showed highly significant association among characters. Maturity time has a negative correlation with yield and yield components of an enset plant.
VL  - 2
IS  - 1
ER  -

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Author Information

MikiasYeshitila Haile

Department of Plant and Horticultural Sciences, College of Agriculture, Hawassa University, Awassa, Ethiopia

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MikiasYeshitila Haile. (2014). Cluster Analysis for Evaluation of Genetic Diversity inEnset (Enset ventricosum(Welw.) Cheesman) Clones at Areka Condition. Journal of Plant Sciences, 2(1), 55-69. https://doi.org/10.11648/j.jps.20140201.20

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ACS Style

MikiasYeshitila Haile. Cluster Analysis for Evaluation of Genetic Diversity inEnset (Enset ventricosum(Welw.) Cheesman) Clones at Areka Condition. J. Plant Sci. 2014, 2(1), 55-69. doi: 10.11648/j.jps.20140201.20

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AMA Style

MikiasYeshitila Haile. Cluster Analysis for Evaluation of Genetic Diversity inEnset (Enset ventricosum(Welw.) Cheesman) Clones at Areka Condition. J Plant Sci. 2014;2(1):55-69. doi: 10.11648/j.jps.20140201.20

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@article{10.11648/j.jps.20140201.20,
  author = {MikiasYeshitila Haile},
  title = {Cluster Analysis for Evaluation of Genetic Diversity inEnset (Enset ventricosum(Welw.) Cheesman) Clones at Areka Condition},
  journal = {Journal of Plant Sciences},
  volume = {2},
  number = {1},
  pages = {55-69},
  doi = {10.11648/j.jps.20140201.20},
  url = {https://doi.org/10.11648/j.jps.20140201.20},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20140201.20},
  abstract = {279accessions of Enset ventricosum were tested at ArekaAgriculturalResearchCenterin a non-replicated field. The objectives of the study were to assess the diversity of these accessions based on key morphological descriptors and evaluate the accessions based on yield and yield related traits. Data on six qualitative and 22 quantitative traits were collected and subjected to various statistical analyses. Cluster analysis based on qualitative characters indicated the formation of six clusters and existence of variability, based on their leaf, midrib and petiole traits. The result of Shannon-Weaver diversity index (H`) showed thatlowlevels of diversity existed among the 279 Enset ventricosumaccessions based on the frequency of the phenotypic charactersconsidered. Analysis of variance for quantitative characters indicated significant variation among the accessions in all the 22 yield and yield components of an enset plant. Cluster analysis based on quantitative characters indicated the formation of six clusters and showing cluster five with the highest values for yield and yield components for the majority of the characters followed by cluster IV. The cluster and distance analysis of quantitative characters pointed out the distance between most of the clusters were highly significant (P < 0.01) suggesting diversity among accessions in different clusters. The maximum inter-clusters distance (D2 = 256.45) was noticed between cluster III and V followed by I and V (D2 = 228.59) and II and V (D2 = 206.10) suggesting diversity between these groups. Correlation study between various quantitative characters showed highly significant association among characters. Maturity time has a negative correlation with yield and yield components of an enset plant.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Cluster Analysis for Evaluation of Genetic Diversity inEnset (Enset ventricosum(Welw.) Cheesman) Clones at Areka Condition
AU  - MikiasYeshitila Haile
Y1  - 2014/02/28
PY  - 2014
N1  - https://doi.org/10.11648/j.jps.20140201.20
DO  - 10.11648/j.jps.20140201.20
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 55
EP  - 69
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20140201.20
AB  - 279accessions of Enset ventricosum were tested at ArekaAgriculturalResearchCenterin a non-replicated field. The objectives of the study were to assess the diversity of these accessions based on key morphological descriptors and evaluate the accessions based on yield and yield related traits. Data on six qualitative and 22 quantitative traits were collected and subjected to various statistical analyses. Cluster analysis based on qualitative characters indicated the formation of six clusters and existence of variability, based on their leaf, midrib and petiole traits. The result of Shannon-Weaver diversity index (H`) showed thatlowlevels of diversity existed among the 279 Enset ventricosumaccessions based on the frequency of the phenotypic charactersconsidered. Analysis of variance for quantitative characters indicated significant variation among the accessions in all the 22 yield and yield components of an enset plant. Cluster analysis based on quantitative characters indicated the formation of six clusters and showing cluster five with the highest values for yield and yield components for the majority of the characters followed by cluster IV. The cluster and distance analysis of quantitative characters pointed out the distance between most of the clusters were highly significant (P < 0.01) suggesting diversity among accessions in different clusters. The maximum inter-clusters distance (D2 = 256.45) was noticed between cluster III and V followed by I and V (D2 = 228.59) and II and V (D2 = 206.10) suggesting diversity between these groups. Correlation study between various quantitative characters showed highly significant association among characters. Maturity time has a negative correlation with yield and yield components of an enset plant.
VL  - 2
IS  - 1
ER  -

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