Associations between morpho-agronomic characters in Conilon (Coffea canephora) 8142
DOI:
https://doi.org/10.33448/rsd-v9i11.9731Keywords:
Coffea Canephora, robusta, conilon, consortium, correlations, track analysis.Abstract
The work consisted of the morpho agronomic evaluation of coffee crop under the influence of intercropping with different types of green manures. The experiment was carried out in the Southern Region of the State of Espírito Santo, Brazil. The experimental plot consisted of five plants per experimental unit, using the clone "Incaper 8142" Conilon Vitória, intercropping with different types of green manure plants, which were: guandu beans (Cajanus cajan), pig bean (Canavalia ensiformis), mucuna preta (Mucuna Pruriens) and Mexican margaridão (Tithonia diversifolia) in addition to a control treatment without green manure. The planting consisted of rows adjacent and located in the “upper interline” meaning is not clear of the coffee crop. The morpho agronomic characteristics evaluated were: plant height, orthotropic branch diameter, plagiotropic branch diameter, number of leaves, number of nodes, number of orthotropic branches, number of plagiotropic branches and productive nodes e productivity green coffee kg/ha, besides the main dependent: The characteristics of greatest direct contribution were number of nodes and number of productive nodes. The species of green fertilizer Mexican Margaridão (Tithonia diversifolia) provided a negative effect on the main variables related to production, and is not recommended for interplanting with robusta coffee.
References
Andrade, F. N., Rocha, M. D. M., Gomes, R. L. F., Freire Filho, F. R., & Ramos, S. R. R. (2010). Estimativas de parâmetros genéticos em genótipos de feijão-caupi avaliados para feijão fresco. Revista Ciência Agronômica, 41(2), 253-258. DOI: https://doi.org/10.1590/S1806-66902010000200012.
Bonomo, P., Cruz, C. D., Viana, J. M. S., Pereira, A. A., Oliveira, V. R., Carneiro, P. C. S. (2004). Early selection of progenies of coffee timor X catuaí yellow e catuaí red. Acta Scientiarum Agronomy, 26:91–96. DOI: https://doi.org/10.4025/actasciagron.v26i1.1969.
Calegari, A. (1995). Leguminosas de verão para adubação verde no Paraná. Londrina: Instituto Agronômico do Paraná, 117 p. (Circular, 80).
Carvalho, A. M., Mendes, A. N. G., Carvalho, G. R., Botelho, C. E., Gonçalves, F. M. A., & Ferreira, A. D. (2010). Correlation between growth and yield of coffee cultivars in different regions of the state of Minas Gerais, Brazil. Pesquisa Agropecuária Brasileira, 45(3), 269-275. DOI: http://dx.doi.org/10.1590/S0100-204X2010000300006.
CONAB (2020). Companhia Nacional de Abastecimento. In: Acompanhamento da safra brasileira: Café. Brasília: CONAB, 4(4).
Cruz, C. D., Carneiro, P. C. S. (2012). Modelos biométricos aplicados ao melhoramento genético. Viçosa: Editora UFV, v. 2. 514p.
Cruz, C. D., Regazzi, A. J., Carneiro, P. C. S. (2004). Track Analysis. Viçosa, Minas Gerais: UFV.
Cruz, C. D. (2013). Genes -a software package for analysis in experimental statistics and quantitative genetics. Acta Scientiarum Agronomy, 35:271–276. DOI: https://doi.org/10.4025/actasciagron.v35i3.21251.
Dalcolmo, J. M. (2012). Biometry of conilon coffee growth after scheduled cycle pruning. Doctoral thesis. State University of North Fluminense, Campos dos Goytacazes, Brazil. Retrieved from http://uenf.br/posgraduacao/producao-vegetal/wp-content/uploads/sites/10/2014/08/Jos%C3%A9-Maria-Dalcolmo.pdf.
Embrapa (1999). Centro Nacional de Pesquisa de Solos. Sistema Brasileiro de Classificação de Solos. Brasília: Embrapa Produção da Informação; Rio de Janeiro: Embrapa Solos, 412p.
Ferrão, M. A. G., Ferrão, R. G., Fornazier, M. J., Prezotti, L. C., Fonseca, A. F. A., Alexandre, F. T., Ferrão, L. F. V. (2013). Advances in genetic improvement of conilon coffee. Seminar for the Sustainability of Coffee Growers. Alegre, ES: UFES, Center of Agrarian Sciences. Cap.7:110.
Ferreira, F. M., Barros, W. S., Silva, F. L. D., Barbosa, M. H. P., Cruz, C. D., & Bastos, I. T. (2007). Relações fenotípicas e genotípicas entre componentes de produção em cana-de-açúcar. Bragantia, 66(4), 605-610. DOI: http://dx.doi.org/10.1590/S0006-87052007000400010.
Gondimi, T. C. O., Rocha, V. S., Sediyama, C. S., & Miranda, G. V. (2008). Path analysis for yield components and agronomic traits of wheat under defoliation. Pesquisa Agropecuária Brasileira, 43(4), 487-493. DOI: https://doi.org/10.1590/S0100-204X2008000400007.
ICO (2019). INTERNETINAL COFFEE ORGANIZATION. Relatório sobre o mercado de Café. Retrieved March 02, from http://www.ico.org/documents/cy2019-20/cmr-1019-p.pdf.
INCAPER (2019). Instituto Capixaba de Pesquisa Assistência Técnica e Extensão Rural Cafeicultura - Tecnologias. Retrieved March 02 <https://incaper.es.gov.br/cafeicultura-tecnologias>.
Jaeggi, M. E. P. C., Coelho, F. C., Pereira, I. M., Zacarias, A. J., Gravina, G. de A., de Lima, W. L., & do Carmo, Parajara, M. (2019). Path Analysis of Vegetative Characteristics in Conilon Coffee Production Consortiated with Green Fertilizers in Tropical Climate. Journal of Experimental Agriculture International, 1-11. DOI: https://doi.org/10.9734/jeai/2019/v40i230361.
Nogueira, A. P. O., Sediyama, T., de Sousa, L. B., Hamawaki, O. T., Cruz, C. D., Pereira, D. G., & Matsuo, É. (2012). Análise de trilha e correlações entre caracteres em soja cultivada em duas épocas de semeadura. Bioscience Journal, 28(6). Retrieved from http://www.seer.ufu.br/index.php/biosciencejournal/article/view/14576.
Oliveira, E. J. D., Lima, D. S. D., Lucena, R. S., Motta, T. B. N., & Dantas, J. L. L. (2010). Correlações genéticas e análise de trilha para número de frutos comerciais por planta em mamoeiro. Pesquisa agropecuária brasileira, 45(8), 855-862. DOI: https://doi.org/10.1590/S0100-204X2010000800011.
Prezotti, L. C., Muner, L. H., (2008). Manual de recomendação de calagem e adubação para o Estado do Espírito Santo. 5ª aproximação. SEEA/INCAPER, p.115-125.
Team, R. C. (2017). R: A language and environment for statistical computing. R Found. Stat. Comput. Vienna, Austria. Retrieved from http://www. R-project.org/., page R Foundation for Statistical Computing.
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Copyright (c) 2020 Mario Euclides Pechara da Costa Jaeggi; Alex Justino Zacarias; Israel Martins Pereira; Richardson Sales Rocha; Rita de Kássia Guarnier da Silva; Edevaldo de Castro Monteiro; Wallace Luiz de Lima; Fábio Cunha Coelho; Rogério Rangel Rodrigues; Samuel Cola Pizetta; Jaídson Gonçalves da Rocha; Tâmara Rebecca Albuquerque de Oliveira; Derivaldo Pureza da Cruz; Alexandre Gomes de Souza; Vicktoria Maria de Castro; Geraldo de Amaral Gravina; Rogério Figueiredo Daher; Josimar Nogueira Batista; Vinicius De Freitas Mateus; Camila Queiroz da Silva Sanfim de Sant'Anna
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