Change Language
Editorial Info.
Newsletters
Advertisements
|
Greener Journal of Plant Breeding and Crop Science Vol. 7(1), pp. 01-11, 2019 ISSN: 2354-2292 Copyright ©2019, the copyright of this article is retained by the author(s) DOI Link: https://doi.org/10.15580/GJPBCS.2019.1.121118171 https://gjournals.org/GJPBCS |
Correlation, path-coefficient and genetic divergence for agro-morphological traits among coffee hybrids grown under coffee berry disease prone environments
1*Fekadu Tefera, 2Dange Wegary and 3Sentayehu Alamerew
1Jimma Agricultural Research Center, P.O. Box 192, Jimma, Ethiopia
2CIMMYT-Ethiopia, ILRI Campus, P.O. Box 5689, Addis Ababa, Ethiopia
3Jimma University, College of Agriculture and Veterinary Medicine, P.O. Box 307, Jimma
|
ARTICLE INFO |
ABSTRACT |
|
Article No.:121118171 Type: Research DOI: 10.15580/GJPBCS.2019.1.121118171
|
Knowledge of interrelationship among economic characters and genetic diversity helps plant breeders in outlying efficient breeding strategies for development of high yielding coffee cultivars. Eight selected coffee hybrids originally developed from crosses between Ethiopian Arabica coffee diversity and two commercial check varieties were tested for component associations and quantifying genetic divergence among genotypes at two sites in highland coffee growing agro-ecology of Southwestern Ethiopia during 2013/14 and 2014/15 cropping seasons. Data were collected for 14 agro-morphological traits. Combined ANOVA, Correlation, path and genetic divergence analyses were used to interpret the data. Significant genetic variation existed among the hybrids and check varieties in almost all traits. The genotypic correlations were higher than the phenotypic, indicating a prevailing influence of the genotypic over the environmental effects in the relationship between significant traits; the same sign indicates their tendencies to reinforce each other. Both the correlation and path coefficient analyses indicated that trait canopy diameter followed by length of primary branches and internodes length of primary branches appeared to be the first order traits for higher berry yield in Arabica coffee and priority should be given in selection due to strong associations as well as high magnitudes of direct effects on berry yield. Genetic distance estimates using the morphological traits showed moderately high genetic distance. Cluster analysis based on the distance measures grouped the ten genotypes in to three main clusters. The hybrid check variety Ababuna clustered alone in separate cluster, while the variety check 74110 and the hybrid HC1 clustered together. The other seven test hybrids also clustered together in shared sub-clusters according to their pedigree. The study demonstrated minimum variation or more similarity among the test hybrids as indicative of genetic consistence and can be exploited for deployment of a new hybrid variety. On other hand, the most dissimilar were the hybrid check (Ababuna) and variety check (74110) having a high genetic distance can be used for hybridization. |
|
Submitted: 11/12/2018 Accepted: 14/12/2018 Published: 04/09/2019 |
|
|
*Corresponding Author Fekadu, Tefera E-mail: feka_tefera2@ yahoo. com |
|
|
Keywords: Analysis; Genetic correlation; Distance; Direct effect; Hybrid coffee; Indirect effect |
|
|
|
|
Return to Content View [Full Article - PDF] | Post-Publication Peer-review Rundown View/get involved, click [Peer-review] |
REFERENCES
Agwanda CO, Lashermes P, Trouslot P, Combes MC, Charrier A., 1997. Identification of RAPD markers for resistance to coffee berry disease, Colletotrichum kahawae, in Arabica coffee. Euphytica 97: 241-248.
Ahmad, B., Khalil IH, Iqbal M, Rahman H., 2010. Genotypic and phenotypic correlation among yield components in bread wheat under normal and lateplantings. Sarhad J. Agric. 26(2): 259-265
Ameha M., 1982.Hetrosis in crosses of indigenous coffee (Coffeaarabica L. ) selected for yield and resistance to coffee berry disease I. At first bearing stage. Eth J AgriSci4:33-43.
Anderberg MR., 1973.Cluster Analysis for Applications, New York: Academic Press, Inc
Anim-Kwapong E, Boamah A., 2010.Genetic and environmental correlations between bean yield and agronomic traits in Coffea canephora.J. Plant Breeding and Crop Sci 2(4): 64-72.
Bayetta B, Behailu A, Fekadu T., 2000.Breeding for resistance to coffee berry disease in Arabica coffee: progress since 1973. In: Proceedings of the workshop on control of coffee berry disease in Ethiopia. Ethiopian Agricultural Research Organization (EARO), Addis Ababa, pp 85-98.
Behailu A, Bayetta B, Fekadu T, Melaku A, Tadesse B, Ashenafi A., 2008. Developing Coffee Hybrid Varieties. In: Girma A, Bayetta B, Tesfaye S, Endaly T, TayeKufa (eds) Coffee Diversity & Knowledge. Proceedings on Four Decades of Coffee Research and Development in Ethiopia, 14-17 August 2007, Addis Ababa, Ethiopia, pp 99-105.
Cilas C, Bouharmont P, Boccara M, Eskes AB, Baradat P.,1998. Prediction of genetic value for coffee production in Coffea arabica from a half-diallel with lines and hybrids. Euphytica 104:49–59.
Dagne W, Vivek B, Labuschagne M., 2013.Association of parental genetic distance with heterosis and specific combining ability in quality protein maize. Euphytica 191:205–216.
Dewey DR, Lu KH (1959) A correlation and path coefficient analysis of component of crested wheat grass seed production. Agron J 51: 515-518.
Endale T, Taye K, Antenhe N, Tesfaye S, Alemseged Y, Tesfaye A., 2008. Research on coffee field management. In: Girma A, Bayetta B, Tesfaye S, Endaly T, Taye K (eds) Coffee Diversity & Knowledge. Proceedings on Four Decades of Coffee Research and Development in Ethiopia, 14-17 August 2007, Addis Ababa, Ethiopia, pp187-195.
Eshetu D Girma A. 1992. Determing level of CBD resistance on progenies of 1982 selections using detached berry test. In: Eshetu B (ed) Proceeding of the joint conference of EPC and CEE ,Addis Abeba, Ethiopia, 5-6 March 1992, p50.
Eshetu D., 2000. Pre-selection Methods for Coffee Berry Disease (CBD) Resistance in Ethiopia. In: Proceedings of the workshop on control of coffee berry disease in Ethiopia, 13-15August 1999. Ethiopian Agricultural Research Organization (EARO), Addis Ababa, pp47-57.
Falconer DS., 1989. Introduction to Quantitative Genetics, 3rd edition. Long man Scientific & Technical, London, pp 313-335.
Ferrão RG, Ferreira A, Cruz CD, Cecon PR, Ferrão, MAG, Fonseca AFA, Carneiro PCS, Silva MF., 2008a. Inter-trait relations for direct and indirect selection in coffee: Crop Breeding and Applied Biotechnology 8: 271-278.
Ferrão RG, Cruz CD, Ferreira A, Cecon PR et al., 2008b. Parâmetros genéticos em café Conilon. Pesq Agropec Bras 43: 61-69.
Gichimu BM, Omondi CO., 2010. Morphological Characterization of Five Newly Developed Lines of Arabica coffee as Compared to Commercial Cultivars in Kenya. Int J Plant Breed Gene 4: 238-246.
Govindaraj M, Vetriventhan M, Srinivasan M., 2014. Importance of Genetic Diversity Assessment in Crop Plants and Its Recent Advances: An Overview of Its Analytical Perspectives. Genetics Research International,Volume 2015, Article ID 431487.pp1- 14. http://dx.doi.org/10.1155/2015/431487
Guedes JM, Rezende JC, Rodrigues JM, Lara A, Carvalho SP, Pereira AA, Carvalho AMD., 2013. Genetic Divergence among Progenies Resulting from the Crossing of Groups Coffee Timor Hybrid and Dilla & Alghe. J Agri Sci and Techno B 3:865-872.
Hoi SW, Holland JB, Hammond EG., 1999. Heritability of lipase activity of oat caryopses. Crop Sci 39:1055–1059
Holland JB., 2006. Estimating Genotypic Correlations and Their Standard Errors Using Multivariate Restricted Maximum Likelihood Estimation with SAS Proc MIXED. Crop Sci 46:642–654.
Hue TTM., 2005. Genetic variation in cultivated coffee (Coffeaarabica L.) accessions in Northern New South Wales, Australia. Master’s Thesis, Southern Cross University.
Kearsey, MJ, Pooni HS (1996) TheGenetical Analysis of Quantitative Traits. Ed 1. Chapman and Hall, London, UK,pp 285-301.
Lashermes P, Cros J, Marmey P, Charrier A., 1993.Use of random amplified DNA markers to analyse genetic variability and relationships of Coffea species.Genet.Resour Crop Evol 40: 91-99.
Leroy T, Montagnonm C,Cilas C, Charrier A, Eskes AB., 1994. Reciprocal recurrent selection applied to coffeacanephora Pierre II. Estimation of genetic parameters. Euphytica 74:121-128.
Littell RC, Milliken GA, Stroup WW, Wolfinger RD., 1996. SAS System for mixed models.SAS Institute, Cary, NC
Lynch M, Walsh B.,1998. Genetics and analysis of quantitative traits. Sinauer Associates, Inc, Sunderland, MA
Marandu EFT, Reuben SOWM, Misangu RN., 2004. Genetic correlations and path of influence among components of yield in selected Robusta coffee (Coffea canephhora L.) clones. West African JApplEcol 5:11-20.
Milligan, GW and Cooper, MC., 1987. "A Study of Variable Standardization," College of Administrative Science Working Paper Series, 87-63, Columbus, OH: The Ohio State University.
Olika K, Sentayehu A, Taye K, Weyessa G., 2011. Genetic diversity analysis in Limmu coffee (Coffeaarabica L.) collection using quantitative traits in Ethiopia. Int J Agri Res 6(6): 470-481.
Pandey RM., 1981. Genetic associations in Amaranthus. Indian JGenet Plant Breed 41: 78-83.
Paulos D, Tesfaye S., 2000. Some ecological parameters occurring in the Major coffee growing areas of Southwestern and Southern Ethiopia. In: Proceedings of the workshop on control of coffee berry disease in Ethiopia, 13-15August 1999. Ethiopian Agricultural Research Organization (EARO), Addis Ababa, Ethiopia, pp 107-124.
SAS Institute, 2008. SAS user’s guide: Statistics (5thedn) SAS Inst, Cary, NC.
Sneath PHA, Sokal RR., 1973.Numerical Taxonomy, San Francisco: Freeman.
Srinivasan CS., 1980. Association of some vegetative characters with initial fruit yield in coffee (Coffeaarabica L.). Indian J Coffee Res 10(2):21-27.
Walyaro DJ, Van der Vossen HAM., 1979. Early determination of yield potential in Arabica coffee by applying index selection. Euphytica 28: 465-472.
Walyaro DJA., 1983. Considerations in breeding for improved yield and quality in Arabica coffee (Coffeaarabica L.). A PhD thesis, Wageningen Agricultural University.
Wardiana E, Pranowo D., 2014. Selection of vegetative and generative characters of Arabica coffee by using sequential path analysis and structural equation models. Jurnal Littri 20(2): 77 – 86.
Wright S., 1921.Correlation and causation. J Agri Res 20:557-587.
|
Cite this Article: Fekadu, T; Dange, W; Sentayehu, A (2019). Correlation, path-coefficient and genetic divergence for agro-morphological traits among coffee hybrids grown under coffee berry disease prone environments . Greener Journal of Plant Breeding and Crop Science, 7(1): 01-11, https://doi.org/10.15580/GJPBCS.2019.1.121118171. .
|
Call for Papers
Call for Scholarly Articles
Authors from around the world are invited to send scholary articles that suits the scope of this journal. The journal is currently open to submissions and will process and publish articles monthly in two yearly issues.
The journal is centered on quality and goes about its processes in a very timely fashion. Seasoned editors/reviewers will be consulted to review each article(s), profer quality evaluations and polish the articles with expertise before publication.
Simply send your article(s) as an e-mail attachment to gjpbcs@acad.gjournals.org or manuscripts.igj@gmail.com.
Advertisements
Search
Login Form
Other Journals
Sponsored
