Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-19T05:05:39.134Z Has data issue: false hasContentIssue false
  • English
  • Français

Genetic variation among biparental Robusta coffee families and implications for variety development

Published online by Cambridge University Press:  06 August 2019

Abraham Akpertey Open the ORCID record for Abraham Akpertey [Opens in a new window] ,
Esther Anim-Kwapong ,
Paul Kwasi Krah Adu-Gyamfi  and
Atta Ofori
Abraham Akpertey*
Affiliation:
Cocoa Research Institute of Ghana, P. O. Box 8, New Tafo-Akim, ER, Ghana
Esther Anim-Kwapong
Affiliation:
Seed Production Division, Ghana Cocoa Board, P. O. Box 3197, Accra, Ghana
Paul Kwasi Krah Adu-Gyamfi
Affiliation:
Cocoa Research Institute of Ghana, P. O. Box 8, New Tafo-Akim, ER, Ghana
Atta Ofori
Affiliation:
Cocoa Research Institute of Ghana, P. O. Box 8, New Tafo-Akim, ER, Ghana
*
*Corresponding author. Emails: [email protected];[email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Understanding the genetic variability, heritability and genetic advance (GA) of traits in any plant population is an important pre-requisite for variety development. The objectives of the study were to assess the level of genetic variability among vegetative growth traits and yield, assess the relationship among the growth traits and yield and predict GA for the most heritable traits among Robusta coffee full-sib families. The trial was established in June 2009 at the experimental fields of the Cocoa Research Institute of Ghana with 62 full-sib families planted in a randomized complete block design with six replications. Significant (p < 0.05) variation was observed among the full-sib families evaluated for all traits, except for span (canopy diameter). Span and number of laterals were genetically correlated (p < 0.001) with cumulative yield (2013–2017), with span being the vegetative growth trait most strongly related to cumulative yield (rg = 0.60, p < 0.001). The most heritable vegetative growth and yield traits were, respectively, number of laterals (H2 = 0.59) and cumulative yield (H2 = 0.41). The top 10 families (BP40, BP41, BP9, BP36, BP34, BP28, BP37, BP14, BP4 and BP10) in terms of cumulative yield are proposed for multi-location evaluation and possible release as hybrids for coffee farmers in Ghana.

Keywords

Coffea canephoraGenetic variationHeritability
Type
Research Article
Information
Experimental Agriculture , Volume 56 , Issue 2 , April 2020 , pp. 171 - 182
Copyright
© Cambridge University Press 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abdi, A. (2009). Agro-morphological characterization of coffee (Coffea arabica L.) landrace collected from Mesela, West Harerge, Ethiopia. M. Sc. Thesis Submitted to Graduate Studies of Hawassa University, Hawassa, Ethiopia, pp. 88.Google Scholar
Adu, S.V. and Asiamah, R.D. (1992). Soils of the Ayensu-Densu Basin. Kumasi, Ghana:Memoir No. 9: Soil Research Institute/Council for Scientific and Industrial Research.Google Scholar
Akpertey, A., Anim-Kwapong, E. and Ofori, A. (2018a). Genetic variation among Robusta coffee genotypes for growth and yield traits in Ghana. Journal of Agricultural Science 10, 138–149.CrossRefGoogle Scholar
Akpertey, A., Anim-Kwapong, E. and Ofori, A. (2018b). Assessment of genetic diversity in Robusta coffee using morphological characters. International Journal of Fruit Science. doi: 10.1080/15538362.2018.1502723.CrossRefGoogle Scholar
Allard, R.W. (1960). Principle of Plant Breeding. New York, USA: John Wiley and Sons Inc.Google Scholar
Alvarado, G., Lopez, M., Vargas, M., Pacheco, F.R., Burgueno, J. and Crossa, J. (2016). META-R (Multi Environment Trial Analysis with R for Windows) Version 6.0. Available at http://hdl.handle.net/11529/10201. International Maize and Wheat Improvement Center.Google Scholar
Anim-Kwapong, E. and Anim-Kwapong, G.J. (2012). Indirect and direct selection for yield in Coffea canephora genotypes under drought-stress and non-stress conditions. Journal of Crop Improvement 26, 489–502.CrossRefGoogle Scholar
Anim-Kwapong, E., Anim-Kwapong, G.J. and Adomako, B. (2011). Indirect versus direct selection of adaptable genotypes of Coffea canephora for drought stress and non-stress conditions. Journal of Crop Improvement 25, 356–370.CrossRefGoogle Scholar
Anonymous (1996). Ghana Coffee Study. Cargill Technical Services Ltd. Knowle Hill Park, Surrey, U.K. Consultant Report for Government of Ghana, 37pp.Google Scholar
Atinafu, G., Mohammed, H. and Kufa, T. (2017). Genetic variability of Sidama coffee (Coffea arabica L.) landrace for agro-morphological traits at Awada, Southern Ethiopia. Agricultural Science Research Journal 5, 263–275.Google Scholar
Burton, G.W. (1952). Quantitative inheritance in grasses. Grassland Congress. In: Proceedings of the 6th International Grassland Congress , vol. 1 pp. 227–283.Google Scholar
Carvalho, A.M., Mendes, A.N.G., Carvalho, G.R. and Botelho, C.E. (2010). Correlation between growth and productivity of coffee cultivars in different regions of Minas Gerais, Brazil. Pesq Agropec Bras 45, 269–275.CrossRefGoogle Scholar
Carvalho, A.M., Pereira, A.A., Carvalho, G.R., Mendes, A.N.G. and Botelho, C.E. (2008). Avaliação de progênies de cafeeiros obtidas do cruzamento entre Catuaí e Híbrido de Timor. Scientia Agraria 9, 249–253.CrossRefGoogle Scholar
Cilas, C, Bar-Hen, A., Montagnon, C. and Godin, C. (2006). Definition of architectural ideotypes for good yield capacity in Coffea canephora. Annals of Botany 97, 405–411.CrossRefGoogle ScholarPubMed
Cilas, C., Bouharmont, P., Boccara, M., Eskes, A. and 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.CrossRefGoogle Scholar
Cilas, C., Montagnon, C., Bertrand, B. and Godin, C. (2000). Wood elasticity of several Coffea canephora clones. A new trait to be included in selection schemes. Agronomie 20, 439–444.CrossRefGoogle Scholar
Comstock, R.E. and Robinson, H.F. (1952). Estimation of average dominance of genes. In Gowen, J.W. (ed), Heterosis. Ames: Iowa State College Press, pp. 494–515.Google Scholar
Cooper, M., DeLacy, I.H. and Basford, K.E.E. (1996). Relationships among analytical methods used to analyze genotypic adaptation in multi-environment trials. In Cooper, MHammer, . G. (eds), Plant Adaptation and Crop Improvement. Wallingford, UK: CAB International, pp. 193–224.Google Scholar
Coste, R. (1992). Coffee: The Plant and the Product. London and Basingstoke, UK: The Macmillan Press Ltd, pp. 206–328.Google Scholar
Cruz, C.D., Regazzi, A.J. and Carneiro, P.C.S. (2004). Modelos biométricos aplicados ao melhoramento genético. 3rd Edn., Vol. 1, UFV: Viçosa, p. 480Google Scholar
Cruz, C.D., Regazzi, A.J. and Carneiro, P.C.S. (2012). Modelos Biométricos aplicados ao melhoramento genético. 4th Edn. UFV: Viçosa, p. 514.Google Scholar
DaMatta, F.M., Ronchi, C.P., Maestri, M. and Barros, R.S. (2007). Ecophysiology of coffee growth and production. Brazilian Journal of Plant Physiology 19, 485–510.CrossRefGoogle Scholar
Davis, A.P. (2011). Psilanthus mannii, the type species of Psilanthus, transferred to Coffea. Nordic Journal of Botany 29, 471–472.CrossRefGoogle Scholar
ICO (2018). Country coffee profile: Ghana. Available at http://www.ico.org/documents/cy2017-18/icc-122-8e-country-profile-ghana.pdf (accessed 25 October 2018).Google Scholar
Leroy, T., Montagnon, C., Cilas, C., Charrier, A. and Eskes, A. (1994). Reciprocal recurrent selection applied to Coffea canephora Pierre. 2: Estimation of genetic parameters. Euphytica 74, 121–128.CrossRefGoogle Scholar
Leroy, T., Montagnon, C., Cilas, C., Yapo, A., Charmetant, P. and Eskes, A.B. (1997). Reciprocal recurrent selection applied to Coffea canephora Pierre. III. Genetic gains and results of first cycle intergroup crosses. Euphytica 95, 347–354.CrossRefGoogle Scholar
Mistro, J.C., Fazuoli, L.C., de Souza Gonçalves, P. and Filho, O.G. (2004). Estimates of genetic parameters and expected genetic gains with selection in robust coffee. Crop Breeding and Applied Biotechnology 4, 86–91.CrossRefGoogle Scholar
Mistro, J.C., Fazuoli, L.C., Gallo, P.B., Oliveira, A.C.B., Toma-Braghini, M. and Silvarolla, M.B. (2007). Estimates of genetic parameters in Arabic coffee derived from Timor Hybrid. Crop Breeding and Applied Biotechnology 7, 141–147.CrossRefGoogle Scholar
Montagnon, C., Leroy, T., Cilas, C. and Charrier, A. (2003). Heritability of Coffea canephora yield estimated from several mating designs. Euphytica 133, 209–218.CrossRefGoogle Scholar
Oliveira, E.J., de Lima, D.S., de Lucena, R.S., Motta, T.B.N. and Dantas, J.L.L. (2010). Correlações genéticas e análise de trilha para número de frutos comerciais por planta em mamoeiro. Pesquisa Agropecuária Brasileira 45, 855–862.CrossRefGoogle Scholar
Petiard, V., Lepage, B., Lambot, C., Crouzillat, D., Florin, B., Brulard, E., Alvarez, M., Von Rutte, S., Leloup, V., Gancel, C., Liardon, R., Jung, M.L., Rytz, A. and Labbe, D. (2004) Establishment, agronomic and qualitative evaluation of collections of Coffea arabica and Coffea canephora cultivated varieties. In Proceedings of 20th International Conference on Coffee Science, Bangalore, India. October 11–15, Paris, France:ASIC, pp. 834–841.Google Scholar
Reuben, S.O.W.M., Marandu, E.F.Y. and Misangu, R.N. (2003). Agronomic performance and heritability of some yield components of Robusta coffee (Coffea canephora Pierre ex Froehner) clones. Tanzania Journal of Agricultural Science 1, 45–54.Google Scholar
Silvarolla, M.B., Guerreiro, F.O., Lima, M.M.A. and Fazuoli, L.C. (1997). Evaluation of progenies derived from the Timor Hybrid with resistance to the rust agent. Bragantia 56, 47–58.CrossRefGoogle Scholar
Srinivasan, C.S., Vihveshwara, S. and Subramanya, H. (1979). Genotype-Environment interaction and heritability of yield in Coffea arabica L. Journal of Coffee Research 9, 69–73.Google Scholar
Stewart, J.L. and Salazar, R. (1992). A review of measurement options for multipurpose trees. Agroforestry System 19, 173–183.CrossRefGoogle Scholar
Walyaro, D.J. and Van Der Vossen, H.A.M. (1979). Early determination of yield potential in Arabica coffee by applying index selection. Euphytica 28, 465–472.CrossRefGoogle Scholar
Yigzaw, D. (2005). Assessment of cup quality, morphological, biochemical and molecular diversity of Coffea arabica L. genotypes of, Ethiopia. PhD. Thesis, University Free State, p. 197.Google Scholar