Efficience of repetibility methods in final stages of the sugarcane genetic breeding
DOI:
https://doi.org/10.33448/rsd-v9i9.7246Keywords:
Saccharum spp; Longevity; Productivity; REML/BLUP.Abstract
The objective this work was to verifield efficience of repetibility methods in the genotypes sugarcane selection on final stages of experimentation. The experiment was conducted in randomized block design with four repetitions. Were evaluated sixteen genotypes in four harvest cycles. The caracters analyzed were POL tonnage per hectare, sugarcane tonnage per hectare and total recoverable sugar tonnage per hectare. Were used four methodologies for repetibility analyses: variance analyse, principal components, estructural analyse and mixed linears models. The genotypes RB96972616 and RB972631 showed hight productivity, hight genetics valours predicteds and showed high genetic means free from interactions. By the variance analyse methods, of the principal components and estructural analyse three assessments would be necessary to select genotypes with 80% of predictability of the your real valours. The mixed models methodology, showed more efficient because besides to identified genotypes with genotipic stability in the harvest cycles, revealed that, through a 90% accuracy, two evaluations are enough to selected genotypes with high regrowth capacity, in the final stages of experimentation.
References
Abeywardena, V. (1972). An application of principal component analysis in genetics. Journal of Genetics, 16(01), 27-51.
Bastos, I. T., Barbosa, M. H. P., Resende, M. D. V., Peternelli, L. A., Silveira, L. C. I., Donda, L. R., Fortunato, A. A., Costa, P. M. A. & Figueiredo, I. C. R. (2007). Avaliação da interação genótipo x ambiente em cana-de-açúcar via modelos mistos. Pesquisa Agropecuária Tropical, 37(4), 195-203.
Castro, K. S., Peres, R. M., Zuffo, A. M., Aguilera, J. Z., Teodoro, L. P. R., Baio, F. H. R. & Teodoro, P. E. (2020). Selection of soybean populations for earliness and high grain yield. Research, Society and Development, 9(7), 1-15.
CONAB, Companhia Nacional de Abastecimento. (2020). Safra brasileira de cana-de-açúcar 2019/2020. Brasília: Conab, 7 1, 62.
Cruz, C.D. (2013). GENES - a software package for analysis in experimental statistics and quantitative genetics. Acta Scientiarum, 35(3), 271-276.
Cruz, C. D., Regazzi, A., & Carneiro, P. C. S. (2014). Modelos biométricos aplicados ao melhoramento genético. Viçosa: UFV, 4, 514.
Dutra Filho, J. A., Junior, T. C., & Simões Neto, D. E. (2014). Phenotype adaptability and stability of sugarcane genotypes in the sugarcane belt of the State of Pernambuco, Brazil. Genetics and Molecular Research, 13(3), 6865-6877.
Dutra Filho. J. A., Simões Neto. D. E., & Calsa Júnior. T. (2018). Determination of the number of harvests to select elite sugarcane genotypes in NE Brazil. Genetics and Molecular Research, 17(1), 1-16.
Maia, M. C. L., Oliveira, L. C., Vasconcelos, L. F. L., Neto, F. P. L. M., Yokomizo, G. K., & Araújo, L. B. Repetibilidade de características quantitativas de frutos em seleções elite de manga rosa. Revista Agro@mbiente On-line, 11(1), 56-62.
Mansour, H., Nordheim, E. V., & Ruledge, J. J. (1981). Estimators of repeatability. Theoretical and Applied Genetics, 60(03), 151-156.
Neto, J. T. F., Oliveira, M. S. P., Resende, M. D. V., & Rodrigues, J. C. (2012). Parâmetros genéticos e ganhos com a seleção de progênies de Euterpe oleracea na fase juvenil. CERNE, 18(3), 515-521.
Pereira, A. S., et al. (2018). Metodologia da pesquisa científica. [e-book]. Santa Maria. Ed. UAB/NTE/UFSM. Recuperado de https://repositorio.ufsm.br/bitstream/ handle/1/15824/Lic_Computacao_Metodologia-Pesquisa-Cientifica.pdf?sequence=1.
Pereira, T. B., Carvalho, J. P. F., Botelho, C. E., Resende, M. D. V., Rezende, J. C., & Mendes, A. N. G. (2013). Eficiência da seleção de progênies de café F4 pela metodologia de modelos mistos (REML/BLUP). Bragantia, 72(3), 230-236.
Resende, M. D. V. (2004). Métodos Estatísticos Ótimos na Análise de Experimentos de Campo. Paraná: Colombo, 1, 57.
Resende, M. D. V. (2007). SELEGEN-REML/BLUP: Sistema Estatístico e Seleção Genética Computadorizada via Modelos Lineares Mistos. Paraná: Colombo, 1, 561.
Resende, M. D. V. (2002). Genética biométrica e estatística no melhoramento de plantas perenes. Paraná: EMBRAPA Informação Tecnológica, 1, 975.
Rosado A. M., Rosado, T. B., Alves, A. A., Laviola, B. G. & Bhering, L. L. (2012) Seleção simultânea de clones de eucalipto de acordo com produtividade, estabilidade e adaptabilidade. Pesquisa Agropecuária Brasileira, 47(7), 964-971.
Rodrigues, F., Von Pinho, R. G., Albuquerque, C. J. B. & Von Pinho, E. V. R. (2011). Índice de seleção e estimativa de parâmetros genéticos e fenotípicos para características relacionadas com a produção de milho-verde. Ciência e Agrotecnologia, 35(2), 278-286.
Santos, M. S. M., Madalena, J. A., Soares, L., Ferreira, P. V. & Barbosa, G. V. S. (2004). Repetibilidade de características agroindustriais em cana-de-açúcar. Pesquisa Agropecuária Brasileira, 39(4), 301-306.
Silva, H. Costa., Anunciação Filho, C. J., Bastos, G Q., Dutra Filho, J. A. & Simões Neto, D. E. (2018). Repeatibility of agroindustrial characters in sugarcane in different harvest cycles. Revista Ciência Agronômica, 49(2), 275-282.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 João de Andrade Dutra Filho; Tercilio Calsa Júnior; Djalma Euzébio Simões Neto; Lauter Silva Souto; Rômulo Gil de Luna; Anielson dos Santos Souza
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.