Epicotyl length in seedlings of soybean cultivars subjected to reduced inter-row spacing
Resumo
The objective was to evaluate the epicotyl length of seedlings of soybean cultivars in the field, submitted to plant densification by reducing the inter-row spacing. Two field experiments were conducted in Rio Paranaíba in the state of Minas Gerais and the effect of reduced spacing (20 cm, 30 cm, 40 cm and 50 cm between rows) was evaluated. The assessment of the epicotyl length was done by using a millimeter ruler when the plants reached the V2 development stage. The experiments were conducted in a randomized block design with four repetitions. In experiment 1, the BRSMG752S cultivar was submitted to four inter-row spacings and no differences were found among them. In experiment 2, the simple factorial scheme 4 x 3 was considered, with 4 spacings and 3 cultivars, to analyze the effect of the interaction between cultivars (96R10, 97R50 and 98Y21) and spacing (20, 30, 40 and 50 cm between rows). The results of experiment 2 indicated that there was no significant effect for spacing and that the cultivars presented statistically different averages. Thus, it can be concluded that the epicotyl length of soybean seedlings, grown in the field in Rio Paranaíba in the state of Minas Gerais and evaluated at the V2 stage of development, was not influenced by the distance between the sowing lines and that the cultivar 96R10 showed the highest and 98Y21 the lowest mean epicotyl length of soybean seedlings, grown in the field in Rio Paranaíba in the state of Minas Gerais and evaluated at the V2 stage of development.
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Referências
Alves, G. F., Nogueira, J. P. G., Machado-Junior, R., Ferreira, S. C., Nascimento, M., & Matsuo E. (2019). Stability of the hypocotyl length of soybean cultivars using neural networks and traditional methods. Ciência Rural, 49 (3), e20180300. https://doi.org/10.1590/0103-8478cr20180300
Camargos, T., Campos, N, Alves, G. F., Ferreira, S. C., & Matsuo, E. (2019). The effect of soil volume, plant density and sowing depth on soybean seedlings characters. Agronomy Science and Biotechnology, 5 (2), 47. doi: https://doi.org/10.33158/ASB.2019v5i2p47
Carmo, E. L., Rocha, A. G. C., Simon, G. A., Silva, A. G., & Braz, G. B. P. (2018). Adensamento de plantas e épocas de cultivo de soja em condições de cerrado. Colloquium Agrariae, 14 (2), 01-12. doi: https://doi.org/10.5747/ca.2018.v14.n2.a201
Chaves, M. V. A., Silva, N. S., Silva, R. H. O., Jorge, G. L., Silveira, I. C., Medeiros, L. A., Hamawaki, C. D. L., Medeiros, L. A., Hamawaki, R. L., Hamawaki, O. T., & Nogueira, A. P. O. (2017). Genotype x environment interaction and stability of soybean cultivars for vegetative-stage characters. Genetics and Molecular Research, 16 (3), 1�??10. doi: https://doi.org/10.4238/gmr16039795
CONAB - Companhia Nacional de Abastecimento. (2021) Acompanhamento da safra brasileira de grãos. Safra 2020/2021 �?? sexto levantamento. http://www.conab.gov.br
Cruz, C. D. (2013). GENES: a software package for analysis in experimental statistics and quantitative genetics. Acta Scientiarum. Agronomy, 35(3), 271-276. https://doi.org/10.4025/actasciagron.v35i3.21251
Cruz, C. D. (2005) Princípios de genética quantitativa. Viçosa, MG: UFV.
EMBRAPA - Empresa Brasileira de Pesquisa Agropecuária. (2013). Sistema brasileiro de classificação de solos. (3rd ed.). Brasília, DF.
Fehr, W. R., & Caviness, C. E. (1977). Stage of soybean development (Special Report). Ames: Iowa State University. Retrieved from http://lib.dr.iastate.edu/specialreports/87
Gibbert, K., Melgarejo, M., Amarilla, D., Bogado, M., Bogado, B., & Jandrey, E. (2018) Características agronômicas de dois cultivares de soja sob diferentes densidades de semeadura. Revista Cultivando o Saber, 9 (3), 61 a 68.
Hanyu, J., Ferreira, S. C., Cecon., P. R., & Matsuo, E. (2020). Genetic parameters estimate and characters analysis in phenotypic phase of soybean during two evaluation periods. Agronomy Science and Biotechnology, 6, 1-12. doi: https://doi.org/10.33158/ASB.r104.v6.2020
Knebel, J. L., Guimarães, V. F., Andreotti, M., & Stangarlin, J. R. (2008). Influência do espaçamento e população de plantas sobre doenças de final de ciclo e oídio e caracteres agronômicos em soja. Acta Scientiarum. Agronomy. 28 (3), 385-392. doi: https://doi.org/10.4025/actasciagron.v28i3.962.
Matsuo, E., Sediyama, T., Cruz, C. D., & Oliveira, R. C. T. (2012b). Análise da repetibilidade em alguns descritores morfológicos para soja. Ciência Rural, 42 (2), 189-196. doi: https://doi.org/10.1590/S0103-84782012000200001
Matsuo, E., Sediyama, T., Cruz, C. D., Oliveira, R. C. T., & Cadore, L. R. (2012a). Estimates of the genetic parameters, optimum sample size and conversion of quantitative data in multiple categories for soybean genotypes. Acta Scientiarum Agronomy, 34 (3), 265-273. doi: https://doi.org/10.1590/S1807-86212012000300006
Moore, S. H. (1991) Uniformity of planting effect on soybean population parameters. Crop Science, 31 (4), 1049-1051. doi: https://doi.org/10.2135/cropsci1991.0011183X003100040041x
Nogueira, A. P. O., Sediyama, T., Cruz, C. D., Reis, M. S., Pereira, D. G., & Jangarelli, M. (2008). Novas características para diferenciação de cultivares de soja pela análise discriminante. Ciência Rural, 38 (9), 2427-2433. doi: https://doi.org/10.1590/S0103-84782008005000025
R Core Team. (2020). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. URL https://www.R-project.org/
Santos, E. R., Spehar, C. R., Pereira, P. R., Capone, A, & Barros, H. B. (2019) Parâmetros genéticos e avaliação agronômica em progênies F2 de soja no Distrito Federal, Brasil. Revista Brasileira de Ciências Agrárias, v.14, n.1, e5625. doi: https://doi.org/10.5039/agraria.v14i1a5625
Sediyama, T. (2009). Tecnologias de produção e usos da soja. Londrina, PR: Editora Mecenas.
Silva, F. C. S., Sediyama, T., Silva, A. F., Bezerra, A. R. G., Rosa, D. P., Ferreira, L. V., & Cruz, C. D. (2016). Identification of new descriptors for differentiation of soybean genotypes by Gower algorithm. African Journal of Agricultural Research, 11 (11), 961�??966. doi: https://doi.org/10.5897/ajar2015.10158
Tancredi, F. D., Silva, F. C. S., Matsuo, E., & Sediyama, T. (2020) Origem, distribuição geográfica e importância econômica. In Matsuo, E., Cruz, CD & T Sediyama (Eds.) Aplicações de técnicas biométricas no melhoramento genético da soja (pp.13-24). Londrina-PR: Editora Mecenas.
Vasconcelos-Neto, M. O., Borém, A., & Portugal, R. S. (2005) Lei de proteção de cultivares. In Borém, A. (Ed.) Melhoramento de espécies cultivadas (pp. 931-960). Viçosa, MG: Editora UFV.
Vencovsky, R. (1987) Herança quantitativa. In: Paterniani, E.; & Viegas, G. P. (Ed.). Melhoramento e produção de milho. Campinas, SP: Editora Fundação Cargil, p. 135-214.
Vieira, E. S. N., Pinho, E. V. R. V., Carvalho, M. G. G, & Silva, P. A. (2009). Caracterização de cultivares de soja por descritores morfológicos e marcadores bioquímicos de proteínas e isoenzimas. Revista Brasileira de Sementes, 31 (1), 086-094. doi: https://doi.org/10.1590/S0101-31222009000100010
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