SELECTION OF COFFEE PROGENIES WITH LARGE BEANS RESISTANT TO RUST AND CERCOSPORA LEAF SPOT
DOI:
https://doi.org/10.25186/cs.v14i1.1529Keywords:
Café, Propagação e Melhoramento, PragasAbstract
Rust is the main disease of coffee. Recently, cercospora leaf spot has grown in importance, intensifying defoliation and decreasing grain yield. The aim of this study was to use a mixed model approach to select the best progenies of "Big Coffee VL" for resistance to rust and cercospora leaf spot. We used 12 progenies with high bean yields. Based on bean size, leaves and plant size, plants within each progeny were classified as "small" (P), "medium" (M) and "large" (G). The experimental design was completely randomized, with six replicates and one plant per plot. Six measurements were carried out every 15 days for each plant by selecting 20 fully exposed leaves with higher and lower sun exposures. The measurements summarized disease severity using two diagrammatic scales to obtain the area of the leaf under rust or Cercospora leaf spot. A mixed model approach was used to calculate genotypic value (GV) and heritability estimates. The Mulamba and Mock index was used to select the most resistant progenies, in which the sum of rankings was weighted by a heritability value. Five progenies were selected; three progenies were G (G17, G9, and G12), one progeny was M (M5) and another progeny P (P23). Among these, M5 and P23 progenies are the most productive and may have potential use in future studies. The statistical approach used to predict promising genotypes facilitates the selection of genetically superior individuals for maximizing yields.
References
ANDRADE, V. T. et al. Statistical modeling implications for coffee progenies selection. Euphytica, Wageningen, v. 207, p. 177-189, 2016.
BALZARINI, M. Applications of mixed models in plant breeding. In: KANG, M. S. (Ed.) Quantitative genetics, genomics and plant breeding. New York: CABI Publishing, 2001. p. 353-363.
BATES, D. et al. Fitting linear mixed-effects models using lme4. Journal of Statistical Software, Linz, v. 67, n. 1, 2015.
BERGELSON, J.; PURRINGTON, C. B. Surveying patterns in the cost of resistance in plants. American Naturalist, Chicago, v. 148, p. 536–558, 1996.
BEDENDO, I. Ferrugens. In: AMORIM, L.; REZENDE, J. A. M.; BERGAMIN FILHO, A. (Ed.) Manual de fitopatologia: princípios e conceitos. 4. ed. Piracicaba: Agronômica Ceres, 2011, p.479-484.
BOTELHO, D. M. S. et al. Cercosporiosis resistance in coffee germplasm collection. Euphytica, Wageningen, v. 213, p. 117, 2017.
CARVALHO, V. L.; CHALFOUN, S. M.; CUNHA, R. L. Manejo de doenças do cafeeiro. In: REIS, P. R.; CUNHA, R. L. (Ed.). Café Arábica do plantio a colheita. Lavras: URESM, 2010. v. 1, p. 689-756.
CAPUCHO, A. S. et al. Climate favorability to leaf rust in Conilon coffee. Australasian Plant Pathology, v. 24, p. 511–514, 2013.
CARVALHO, A. M. et al. Comportamento de Cultivares de Cafeeiro sob a incidência das doenças da ferrugem e cercosporiose em dois ambientes de Cultivo. Coffee Science, Lavras, v. 12, n. 1, p. 100 - 107, 2017.
CUNHA, R. L. et al. Desenvolvimento e validação de uma escala diagramática para avaliar a severidade da ferrugem (Hemileia vastatrix) do cafeeiro. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 2., 2001, Vitória. Resumos Expandidos... Vitória, ES: EMBRAPA Café, 2001. p.77-78.
CUSTODIO, A. A. et al. Comparison and validation of diagrammatic scales for brown eye spots in coffee tree leaves. Ciência e Agrotecnologia, Lavras, v. 35, n. 6, p. 1067-1076, 2011.
DELL' ACQUA R. et al. Variabilidade in vitro, in vivo e molecular de isolados de Cercospora coffeicola. Tropical Plant Pathology, Brasília, v. 36, n. 5, p. 313-326, 2011.
FAZUOLI, L. C. et al. Identification and use of sources of durable resistance to coffee leaf rust at the IAC. In: ZAMBOLIM, L.; ZAMBOLIM, E.M.; VÁRZEA, V.M. Durable resistance to coffee leaf rust. Viçosa: Universidade Federal de Viçosa, Departamento de Fitopatologia, 2005, p. 137-185.
KUSHALAPPA, A. C.; CHAVES, G. M. An analysis of the development of coffee rust in the field. Fitopatologia Brasileira, Brasília, v. 5, p. 95–183, 1980.
KUZNETSOVA, A., BROCKHOFF, P. B.; CHRISTENSEN, R. H. B. lmerTest: Tests in Linear Mixed Effects Models. R package version 2.0-33, 2016. Disponível: https://cran.r-project.org/web/packages/lmerTest/lmerTest.pdf
MAFFIA, L. A.; HADDAD, F.; MIZUBUTI, E. S. G. Controle biológico da ferrugem do cafeeiro. In: BETTIOL, W.; MORANDI, M. A. B. Biocontrole de doenças de plantas: uso e perspectivas. 1 ed. Jaguariúna: Embrapa Meio Ambiente, 2009, p. 267-276.
MATIELLO, J. B. et al. Cultura de café no Brasil: manual de recomendações. Rio de Janeiro: PROCAFÉ, 2015, p. 387.
MOLLER, M.; STUKENBROCK, E. H. Evolution and genome architecture in fungal plant pathogens. Nature Reviews | Microbiology. 2017. doi:10.1038/nrmicro.2017.76
MONTES, S. M. N. M.; PAULO, E. M.; FISCHER, I. H. Incidência da ferrugem alaranjada em cafeeiros nas condições climáticas de Presidente Prudente, SP. Coffee Science, Lavras, v. 7, n. 3, p. 208-214, 2012.
MULAMBA, N. N. AND MOCK, J. J. Improvement of yield potential of the Eto Blanco maize (Zea mays L.) population by breeding for plant traits. Egyptian Journal of Genetics and Cytology, Cairo, p. 740-51, 1978.
NELSON, R. et al. Navigating complexity to breed disease-resistant crops. Nature Reviews | Genetics. 2017. doi:10.1038/nrg.2017.82
OLIVEIRA, A. C. B. et. al. Prediction of genetic gains from selection in Arabica coffee progenies. Crop Breeding and Applied Biotechnology, Viçosa, v. 2, p. 106-113, 2011.
PAIVA, B. R. L. et al. Progresso da cercosporiose do cafeeiro sob diferentes manejos de irrigação e densidades de plantio. Coffee Science, Lavras, v. 8, n. 2, p. 166-175, 2013.
PATRICIO, F. R. A.; BRAGHINI, M. T.; FAZUOLI, L. C. Resistência de plantas de Coffea arabica, Coffea canephora e híbridos interespecíficos à cercosporiose. Bragrantia, Campinas, v. 69, n. 4, p. 883-890, 2010.
PEREIRA, T. B. et al. Eficiência da seleção de progênies de café F4 pela metodologia de modelos mistos (REML/BLUP). Bragantia, Campinas, v. 72, n. 3, p. 230-236, 2013.
PETEK, M. R.; SERA, T.; FONSECA, I. C. B. Prediction of genetic additive values for development of a coffee cultivar with increased rust resistance. Bragantia, Campinas, v. 67, p. 133-140, 2008.
RAMALHO, M. A. P. et al. Aplicação da genética quantitativa ao melhoramento de plantas autógamas. Lavras: Editora UFLA, 2012. 522p.
R CORE TEAM. R: A language and environment for statistical computing. Viena, 2014. Disponível em: <http://www.r-project.org>. Acesso em: 5 jul. 2015.
RODRIGUES, W. P. et al. Adaptability and genotypic stability of Coffea arabica genotypes based on REML/BLUP analysis in Rio de Janeiro State, Brazil. Genetics and Molecular Research, v. 12, n. 3, p. 2391-2399, 2013.
SADRAS, V. O.; CALDERINI, D. F. Crop physiology applications for genetic improvement and agronomy. Second edition. Elsevier, Amsterdam, The Netherlands, 2015, 580p.
SARKAR, D. Lattice: multivariate data visualization with R. New York: Springer-Verlag, 2008. 280 p.
SCOTT, A. J.; KNOTT, M. Cluster analysis method for grouping means in the analysis of variance. Biometrics, Arlington, v. 30, n. 3, p. 507–512, 1974.
SHANER, G.; FINNEY, R. E. The effect of nitrogen fertilization on the expression of slow-mildewing resistance in Knox wheat. Phytopathology, Lancaster, v. 67, p. 1051–1056, 1977.
SILVA, M. C. et al. Coffee resistance to the main diseases: leaf rust and coffee berry disease. Brazilian Journal of Plant Physiology, v. 18, p. 119–147, 2006.
SILVA, J. A. da. Diversidade genética e seleção de progênies de cafeeiros do grupo “Big Coffee VL”. 2016. 66 p. Tese (Doutorado em Fitotecnia) - Universidade Federal de Lavras, Lavras, 2016.
SOUZA, A. G. C. et al. Infection Process of Cercospora coffeicola on Coffee Leaf. Journal of Phytopathology, v. 159, n. 1, p. 6-11, 2011.
SOUZA, A. G. C. et al. A time series analysis of brown eye spot progress in conventional and organic coffee production systems. Plant Pathology, v. 64, n. 1, p. 157-166, 2015.
TIAN, D. et al. Fitness costs of R-gene-mediated resistance in Arabidopsis thaliana, Nature, v. 423, p. 74-77, 2003.
VALE, P. A. S. Caracterização de Cercospora coffeicola por filogenia molecular multigênica. 2016. 64 p. Dissertação (Mestrado em Biotecnologia Vegetal) – Universidade Federal de Lavras, Lavras, 2016.
ZAMBOLIM, L.; VALE, F. X. R.; ZAMBOLIM, E. M. Doenças do cafeeiro (Coffea arábica e Coffea canephora). In: KIMATI, H.; AMORIM, L.; REZENDE, J.A.M.; BERGAMIM FILHO, A.; CAMARGO, L.E.A. (Ed.). Manual de fitopatologia: doenças das plantas cultivadas. 4.ed. São Paulo: Agronômica Ceres, 2005. 663p.
ZAMBOLIM, L. Current status and management of coffee leaf rust in Brazil. Tropical Plant Pathology, v. 41, n.1, 2016.
Published
How to Cite
Issue
Section
Os direitos autorais dos artigos publicados nesta revista pertencem aos autores, com os primeiros direitos de publicação pertencentes à revista. Como os artigos aparecem nesta revista com acesso aberto, eles podem ser usados livremente, com as devidas atribuições, em aplicativos educacionais e não comerciais.
