POSITIONING OF WHITE OAT CULTIVARS IN DIFFERENT ENVIRONMENTS FOR HIGH GRAIN PRODUCTIVITY IN ORGANIC SYSTEM

Anderson Dal Molin Savicki, Ivan Ricardo Carvalho, Murilo Vieira Loro, Leonardo Cesar Pradebon, Aline Luiza Schmidt, Inaê Carolina Sfalcin, Adriano Dietterle Schulz, Pedro Pinheiro Nascimento Machado, Amauri de Carli Alchieri, José Antonio Gonzalez da Silva, Aljian Antônio Alban, Marcio Alberto Challiol

Abstract


Background. White oat is a multifunctional species with significant benefits to human health, so the positioning of genotypes in the organic system is substantial to promote the expression of maximum productive potential. Objective. To select and identify the genotypes with greater stability and productive adaptability. Methodology. The study was carried out in 11 environments located in the countries of Brazil (states of Rio Grande do Sul and Paraná) and Paraguay (Itapúa) in 2019 and 2020, evaluating in each of them four genotypes of white oats (Avena sativa) (URS Corona, URS Brava, IPR Artemis and IPR Afrodite) each considered as treatments. The experimental design was randomized blocks with four replications per treatment. The variables analyzed were grain yield (GY, kg ha-1) and the cycle in days from emergence to physiological maturity (PM). With the presence of G x E interaction, AMMI and GGE biometric methods were used to study adaptability and stability. Results. With the data obtained, it was possible to form three mega-environments with the identification of specifically adapted genotypes. The URS Brava genotype was characterized as the ideal genotype, with high stability and wide adaptability for grain yield, which can be positioned in all environments. High altitudes promoted a longer crop cycle and lower grain yield, while low altitudes induced a shorter cycle and grain yield maximization of white oat genotypes. Implications. The current results indicate that it is possible to position a single genotype within a region formed by similar environments, as well as it was identified that the crops should preferably be carried out in regions of lower altitudes. Conclusion. The URS Brava genotype is considered the ideal genotype with high potential for productivity at low altitudes.

Keywords


Avena sativa L.; genotypes; stability; adaptability; AMMI; GGE.

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References


Carvalho, I. R., Silva, J. A. G., Ferreira, L. L., Szareski, V. J., Demari, G. H., Facchinello, P. H. K., Moura, N. B., Schneider, R. O., Rosa, T. C., Magano, D. A. and Souza, V. Q., 2020. Relative contribution of expected sum of squares values for soybean genotypes × growing environments interaction. Australian Journal of Crop Science, 14(3), pp. 382-390. http://dx.doi.org/10.21475/ajcs.20.14.03.p1515

Carvalho, I. R., Eickhoff, F. G., Silva, T. S., Schulz, A. D., Ourique, R. S., Malheiros, T. F., Foguesatto, F. R., Sarturi, M. V., Loro, M. V. and Hutra, D. J., 2021. Cultivation of maize in different environments and their effects on agronomic traits. Agronomy Science and Biotechnology, 7, pp. 1-11. https://doi.org/10.33158/ASB.r125.v7.2021

Castro, G. S. A., Costa, C. H. M. and Neto, J. F., 2012. Ecofisiologia da aveia branca. Scientia Agraria Paranaensis,11(3), pp. 1-15. http://dx.doi.org/10.18188/sap.v11i3.4808

Conab. Safra Brasileira de Grãos. Disponível em: https://www.conab.gov.br/info-agro/safras/graos/boletim-da-safra-de-graos.2022 Acesso em: 04 de abril. 2022.

Corazza, T., Carvalho, I. R., Silva, J. A. G., Szareski, V. J., Segatto, T. A., Port, E. D., Loro, M. V., Almeida, H. C. F., Oliveira, A. C., Maia, L. and Souza, V. Q., 2021. Genetic parameters and multi-trait selection of white oats for forage. Genetics and Molecular Research, 20(3), GMR18451. https://doi.org/10.4238/gmr18451

Cruz, C. D., Regazzi, A. J. and Carneiro, P. C. S., 2012. Modelos biométricos aplicados ao melhoramento genético. UFV, 668p.

Fontaneli, R. S. and Santos, H. P., 2012. Forrageiras para integração lavoura-pecuária-floresta na região sul-brasileira. Embrapa Trigo-Livro científico, 554p.

Fritzsons, E., Mantovani, L. E. and Wrege, M. S., 2016. Relação entre altitude e temperatura uma contribuição ao zoneamento climático no estado de Santa Catarina, Brasil. Revista Brasileira de Climatologia, 18(12), pp. 1-13. http://dx.doi.org/10.5380/abclima.v18i0.39471

Hawerroth, M. C., Barbieri, R. L., Silva, J. A. G., Carvalho, F. I. F. and Oliveira, A. C., 2014. Importância e dinâmica de caracteres na aveia produtora de grãos. Embrapa Clima Temperado-Documentos (INFOTECA-E).

Moura, N. B., Carvalho, I. R., Silva, J. A. G., Loro, M. V., Barbosa, M. H., Lautenchleger, F., Marchioro, V. S. and Souza, V. Q., 2021. Akaike criteria and selection of physiological multi-character indexes for the production of black oat seeds. Communications in Plant Sciences, 11(2021), p.22-29, 2021. http://dx.doi.org/10.26814/cps2021003

Nasa Power, 2021. Solar and meteorological datasets from NASA research to support renewable energy, building energy efficiency, and agricultural needs. Available at: https://power.larc.nasa.gov. Accessed on: 06 Jul. 2021.

Neto, G. M. F. C., Duarte, J. B., Castro, A. P. and Heinemann, A. B., 2020. Uso de informações ambientais na modelagem e interpretação da interação genótipo× ambiente: revisão bibliográfica. Boletim de Pesquisa e Desenvolvimento, 49p. Available at: https://www.infoteca.cnptia.embrapa.br/infoteca/bitstream/doc/1124389/1/CNPAF-2020-BPD56.pdf

Olivoto, T., Lúcio, A. D. C., Silva, J. A. G., Marchioro, V. S., Souza V. Q. and Jost, E., 2019. Mean performance and stability in multi-environment trials II: selection based on multiple traits. Agronomy Journal, 111(6), pp. 2961-2969. https://doi.org/10.2134/agronj2019.03.0221

Pacheco, B. L. S., Junior, L. G. S. and Oliveira, L. A., 2012. Estudo da relação entre temperatura/altitude e precipitação/altitude aplicando-se os métodos de correlação e regressão. Revista Geonorte, 1(8), pp.561-572. https://www.periodicos.ufam.edu.br/index.php/revista-geonorte/article/view/2394

Ramalho, M. A. P., Santos, J. B. and Zimmermann, M. J. O., 2000. Genética quantitativa em plantas autógamas: aplicações ao melhoramento do feijoeiro. Goiânia: UFG, 271p.

Rother, V., Verdi, C. A., Thurow, L. B., Carvalho, I. R., Oliveira, V. F., Maia, L., Venske, E., Pegoraro, C. and Oliveira, A. C., 2019. Uni- and multivariate methods applied to the study of the adaptability and stability of white oat. Pesquisa Agropecuária Brasileira, 54, e00656, pp.656. https://doi.org/10.1590/S1678-3921.pab2019.v54.00656

Schneider, R., Carvalho, I. R., Szareski, V. J., Kehl, K., Levien, A. M., Silva, J. A. G., Hutra, D. J., Souza, V. Q., Lautenchleger, F. and Loro, M. V., 2021. Bayesian inference and prediction applied to the positioning of wheat yield grown in southern brazil. Functional Plant Breeding Journal, 3(2), pp. 15-32. http://dx.doi.org/10.35418/2526-4117/v3n2a2

Szareski, V. J., Carvalho, I. R., Kehl, K., Levien, A. M., Rosa, T. C. D. and Souza, V. Q., 2021. Adaptability and stability with multivariate definition of macroenvironments for wheat yield in Rio Grande do Sul. Pesquisa Agropecuária Brasileira, 56, e02468. https://doi.org/10.1590/S1678-3921.pab2021.v56.02468

USDA. (United States Department of Agriculture). World Agricultural Production. Circular Series WAP 8-22. 2022. Available at: https://downloads.usda.library.cornell.edu/usda-esmis/files/5q47rn72z/6h442129q/rx914x69w/production.pdf

Vetvicka, V., Vannucci, L., Sima, P. and Richter, J., 2019. Beta glucan: supplement or drug? From laboratory to clinical trials. Molecules, 24(1), pp. 1251. https://doi.org/10.3390/molecules24071251

Zobel, R.W., Wright, M. J. and Gauch, H. G., 1988. Statistical analysis of a yield trial. Agronomy Journal, 80(3), pp. 388-393. https://doi.org/10.2134/agronj1988.00021962008000030002x




URN: http://www.revista.ccba.uady.mx/urn:ISSN:1870-0462-tsaes.v26i2.44057

DOI: http://dx.doi.org/10.56369/tsaes.4405

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Copyright (c) 2023 Anderson Dal Molin Savicki, IVAN Ricardo Carvalho, Murilo Vieira Loro, Leonardo Cesar Pradebon, Aline Luiza Schmidt, Inaê Carolina Sfalcin, Adriano Dietterle Schulz, Pedro Pinheiro Nascimento Machado, Amauri de Carli Alchieri, José Antonio Gonzalez da Silva, Aljian Antônio Alban, Marcio Alberto Challiol

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