@article{10.11648/j.ajpb.s.2017020301.12,
  author = {Zekeria Yusuf and Habtamu Zeleke and Wassu Mohammed and Shimelis Hussein and Arno Hugo},
  title = {Genetic Divergence and Association of Traits Among Groundnut (Arachis hypogaea L.) Genotypes in Ethiopia Based on Agromorphological Markers},
  journal = {American Journal of Plant Biology},
  volume = {2},
  number = {3-1},
  pages = {8-18},
  doi = {10.11648/j.ajpb.s.2017020301.12},
  url = {https://doi.org/10.11648/j.ajpb.s.2017020301.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpb.s.2017020301.12},
  abstract = {Multivariate analysis was carried out for 16 groundnut genotypes evaluated for 12 agromorphological characters. The crop was sown during2015/16 Ethiopian wet season in four locations in RCBD to study the variability and their interrelationship and divergence pattern based on quantitative traits. The distance matrix was used to study genetic diversity among the genotypes based on principal component analysis, discriminant analysis and clustering methods. Genetic divergence of groundnut genotypes through distance matrix based on Euclidean distance (D) revealed that there was small range of genetic diversity. The Eigen vectors for the first three component loading has shown that the first principal component had high positive component loading from NBP, AGBP, NMP, PWP, SWP as well as GY characters and found to associate with NC 343, Baha jidu, Lote, Manipeter, Roba, Werer 962, Tole1, Tole2 and Oldhale genotypes with high positive PCA1 scores based on Euclidean distance matrix(D). In contrast, PCA2 had high positive component loading from 100SW, PWP as well as GY characters, the associated genotypes are Baha gudo, Fetene, Manipeter, Werer 962 and Werer 961. GY has shown positive loading in all the first three components but the highest positive in component 2 indicating the highest grain yielding genotypes are those that are most positive in second component. The highest positive loading characters in the third component are NSP, SHP, SWP, NMP as well as GY; the associated genotypes were Fetene and Werer 961.On the other hand, high negative PC1 loading was obtained for SHP, HI and NSPOD. High negative loading characters especially in PC1 shows inverse relationship and/or divergence to the rest variables therefore such characters are not mainly recommended for breeding since they have usually low heritability. The dendrogram for Euclidean distance based on genotypic correlation has shown that traits in cluster 2 including PWP, SWP and 100SW were shown positive and nonsignificant correlation with GY. The most similar trait was NBP and AGBP, while NSPOD was the most divergent trait and found to be negatively correlated with GY. Thus, such divergent and negatively correlated trait with yield has no significance in selection so it can be dropped. Those characters in cluster 1 including NBP, AGBP, NMP and NSP were positive but nonsignificantly correlated at genotypic level with GY.},
 year = {2017}
}

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TY  - JOUR
T1  - Genetic Divergence and Association of Traits Among Groundnut (Arachis hypogaea L.) Genotypes in Ethiopia Based on Agromorphological Markers
AU  - Zekeria Yusuf
AU  - Habtamu Zeleke
AU  - Wassu Mohammed
AU  - Shimelis Hussein
AU  - Arno Hugo
Y1  - 2017/03/13
PY  - 2017
N1  - https://doi.org/10.11648/j.ajpb.s.2017020301.12
DO  - 10.11648/j.ajpb.s.2017020301.12
T2  - American Journal of Plant Biology
JF  - American Journal of Plant Biology
JO  - American Journal of Plant Biology
SP  - 8
EP  - 18
PB  - Science Publishing Group
SN  - 2578-8337
UR  - https://doi.org/10.11648/j.ajpb.s.2017020301.12
AB  - Multivariate analysis was carried out for 16 groundnut genotypes evaluated for 12 agromorphological characters. The crop was sown during2015/16 Ethiopian wet season in four locations in RCBD to study the variability and their interrelationship and divergence pattern based on quantitative traits. The distance matrix was used to study genetic diversity among the genotypes based on principal component analysis, discriminant analysis and clustering methods. Genetic divergence of groundnut genotypes through distance matrix based on Euclidean distance (D) revealed that there was small range of genetic diversity. The Eigen vectors for the first three component loading has shown that the first principal component had high positive component loading from NBP, AGBP, NMP, PWP, SWP as well as GY characters and found to associate with NC 343, Baha jidu, Lote, Manipeter, Roba, Werer 962, Tole1, Tole2 and Oldhale genotypes with high positive PCA1 scores based on Euclidean distance matrix(D). In contrast, PCA2 had high positive component loading from 100SW, PWP as well as GY characters, the associated genotypes are Baha gudo, Fetene, Manipeter, Werer 962 and Werer 961. GY has shown positive loading in all the first three components but the highest positive in component 2 indicating the highest grain yielding genotypes are those that are most positive in second component. The highest positive loading characters in the third component are NSP, SHP, SWP, NMP as well as GY; the associated genotypes were Fetene and Werer 961.On the other hand, high negative PC1 loading was obtained for SHP, HI and NSPOD. High negative loading characters especially in PC1 shows inverse relationship and/or divergence to the rest variables therefore such characters are not mainly recommended for breeding since they have usually low heritability. The dendrogram for Euclidean distance based on genotypic correlation has shown that traits in cluster 2 including PWP, SWP and 100SW were shown positive and nonsignificant correlation with GY. The most similar trait was NBP and AGBP, while NSPOD was the most divergent trait and found to be negatively correlated with GY. Thus, such divergent and negatively correlated trait with yield has no significance in selection so it can be dropped. Those characters in cluster 1 including NBP, AGBP, NMP and NSP were positive but nonsignificantly correlated at genotypic level with GY.
VL  - 2
IS  - 3-1
ER  - 

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