PREDICTION OF CORN GRAIN PRODUCTIVITY AS A FUNCTION OF ALTITUDE AND PLANT POPULATION

Visualizações: 173

Authors

DOI:

https://doi.org/10.32404/rean.v9i4.7070

Keywords:

Zea mays, Geographic variables, principal components, linear association

Abstract

This study aimed to evidence the best arrangement of plants according to altitudes to potentialize corn grain yield. An information survey was performed in the 2019/20 harvest, using 144 producers responsible for corn grain production fields totaling 2,301.3 hectares in 144 environments of Rio Grande do Sul. Within 144 environments, 14 corn hybrids were arranged: DKB 240 PRO, DOW 2A620, AG 9045 PRO3, AS1555 PRO3, AS1572 PRO2, AS1656, BIOGENE 7046, DKB 250 PRO2, DKB 290 PRO3, DKB 330RR, NS56, P1630HX, P30F53HX, and SH7910. Yield, morphological, and phenological variables were measured, and geographic and meteorological information was collected. There is a positive influence on grain yield according to altitude and plant population characteristics. At lower altitudes, increasing plant population is essential to enhance grain yield.

Author Biographies

Marlon Vinicius da Rosa Sarturi, Regional University of the Northwest of the State of Rio Grande do Sul

Regional University of the Northwest of the State of Rio Grande do Sul, Ijuí, Rio Grande do Sul State, Brazil.

Cleusa Adriane Menegassi Bianchi Teixeira, Regional University of the Northwest of the State of Rio Grande do Sul

Regional University of the Northwest of the State of Rio Grande do Sul, Ijuí, Rio Grande do Sul State, Brazil.

Ivan Ricardo Carvalho, Regional University of the Northwest of the State of Rio Grande do Sul

Regional University of the Northwest of the State of Rio Grande do Sul, Ijuí, Rio Grande do Sul State, Brazil.

Gustavo Henrique Demari, Federal University of Pelotas

Federal University of Pelotas, Capão do Leão, Rio Grande do Sul, Brazil

Murilo Vieira Loro, Federal University of Santa Maria

Federal University of Santa Maria, Santa Maria, Rio Grande do Sul State, Brazil.

Leonardo Cesar Pradebon, Regional University of the Northwest of the State of Rio Grande do Sul

Regional University of the Northwest of the State of Rio Grande do Sul, Ijuí, Rio Grande do Sul State, Brazil.

Eduarda Donadel Port, Regional University of the Northwest of the State of Rio Grande do Sul

Regional University of the Northwest of the State of Rio Grande do Sul, Ijuí, Rio Grande do Sul State, Brazil

References

(I) Almeida Júnior, J.J., Smiljanic, K.B.A., Matos, F.S.A., Miranda, B.C., Oliveira, D.M., Camargo, H.A. 2018. Características Agronômicas e Produtividade na Cultura do Milho Plantado com Diferentes Populações na Região de Mineiros, estado de Goiás. Nucleus, 15(2), 475-483. DOI: https://doi.org/10.3738/1982.2278.2881

(II) Barbosa, M.H., Carvalho, I.R., Szareski, V.J., Conte, G.G., Pelegrin, A.J., Ferrari, M., Rosa, T.C., Mambrin, R.B., Nardino, M., Oliveira, A.C., Maia, L.C., Souza, V.Q. 2019. Path analysis and canonical variables of intervarietal maize hybrids. Plant Omics, 12(1), 1-8. DOI: https://doi.org/10.21475/poj.12.01.19.pt848

(III) Bergamaschi, H., Matzenauer, R. 2014. O milho e o clima. Emater-Ascar, Porto Alegre, 84p.

(IV) Bernini, C.S., Santos, F.A.S., Silva, D.S., Figueiredo, Z.N. 2020. Seleção fenotípica de híbridos de milho para ambientes de baixa altitude e déficit hídrico. Nativa, 8(2), 172-177. DOI: https://doi.org/10.31413/nativa.v8i2.9265

(V) Caron, B.O., Oliveira, D.M., Elli, E.F., Eloy, E., Schwerz, F., Souza, V.Q. 2017. Elementos meteorológicos sobre características morfológicas e produtivas do milho em diferentes épocas de semeadura. Científica, 45(2), 105-114. DOI: https://doi.org/10.15361/1984-5529.2017v45n2p105-114

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

(VII) Fritzsons, E., Mantovani, L.E., 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), 80-92. DOI: http://dx.doi.org/10.5380/abclima.v18i0.39471

(VIII) Köpp, L.M., Peiter, M.X., Ben, L.H.B., Nogueira, H.M.C.D.M., Padron, R.A.R., Robaina, A.D., Buske, T.C. 2015. Simulação da necessidade hídrica e estimativa de produtividade para cultura do milho em municípios do RS. Revista Brasileira de Milho e Sorgo, 14(2), 235-246. DOI: https://doi.org/10.18512/1980-6477/rbms.v14n2p235-246

(IX) Maldaner, L.J., Horing, K., Schneider, J.F., Frigo, J.P., Azevedo, K.D., Grzesiuk, A.E. 2014. Exigências agroclimáticas da cultura do milho (Zea mays). Revista Brasileira de Energia Renováveis, 3, 13-23. DOI: http://dx.doi.org/10.5380/rber.v3i1.36915

(X) Minuzzi, R.B., Lopes, F.Z. 2015. Desempenho agronômico do milho em diferentes cenários climáticos no Centro-Oeste do Brasil. Revista Brasileira de Engenharia Agrícola e Ambiental, 19(8), 734-740. DOI: https://doi.org/10.1590/1807-1929/agriambi.v19n8p734-740

(XI) Renato, N.S., Sediyama, G.C., Silva, J.B., Pereira, E.G. 2018. Modelo fotossintético para simulação da produtividade do milho em condições de temperatura e CO2 elevados. Revista de Ciências Agrárias, 41(4), 1067-1074. DOI: https://doi.org/10.19084/RCA18047

(XII) Silva, D.F., Garcia, P.H.M., Santos, G.C.L., Farias, I.M.S.C., Pádua, G.V.G., Pereira, P.H.B., Silva, F.E., Batista, R.F., Cabral, A.M.D. 2021. Características morfológicas, melhoramento genético e densidade de plantio das culturas do sorgo e do milho: uma revisão. Research, Society and Development, 10(3), e12310313172. DOI: http://dx.doi.org/10.33448/rsd-v10i3.13172

(XIII) Souza, G.M., Barbosa, A.M. 2015. Fatores de estresse no milho são diversos e exigem monitoramento constante. Visão agrícola, 13(1), 30-34. https://www.esalq.usp.br/visaoagricola/sites/default/files/VA_13_Fisiologia-artigo3.pdf

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Published

2022-12-16

How to Cite

da Rosa Sarturi, M. V., Menegassi Bianchi Teixeira, C. A., Carvalho, I. R., Demari, G. H., Vieira Loro, M., Pradebon, L. C., & Donadel Port, E. (2022). PREDICTION OF CORN GRAIN PRODUCTIVITY AS A FUNCTION OF ALTITUDE AND PLANT POPULATION. REVISTA DE AGRICULTURA NEOTROPICAL, 9(4), e7070. https://doi.org/10.32404/rean.v9i4.7070

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Vol. 9 No. 4 (2022): REVISTA DE AGRICULTURA NEOTROPICAL

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