Chemical attributes of corn under the path analysis in an Amazon ecosystemic domain

Authors

  • Luana da Silva Pinheiro Federal Rural University of the Amazon
  • Mateus Monteles Vieira Federal University of Maranhão https://orcid.org/0000-0003-3756-8946
  • Gabriel Gustavo Tavares Nunes Federal Rural University of the Amazon
  • Claudete Rosa da Silva Federal Rural University of the Amazon https://orcid.org/0000-0001-5063-8932
  • Job Teixeira Oliveira Federal University of Mato Grosso do Sul https://orcid.org/0000-0001-9046-0382
  • Tulio Russino Castro Federal University of Mato Grosso do Sul
  • Cassiano Garcia Roque Federal University of Mato Grosso do Sul https://orcid.org/0000-0001-6872-0424
  • Priscilla Andrade Silva Federal University of the Amazon

DOI:

https://doi.org/10.13083/reveng.v32i1.16811

Keywords:

agroecology, biotechnology, precision agriculture, productivity, Zea mays L.

Abstract

The present study aims to expose information about the dynamics between the chemical attributes of corn and the direct and indirect influence of these attributes on the proteins of the grain. The attributes analyzed were grain mass, total soluble solids, pH, total titratable acidity, ashes, moisture content, lipids, proteins, and carbohydrates. A network of correlations was obtained and descriptive statistical results of the attributes were generated. Through a path analysis, in which protein content was the main variable, the direct and indirect correlation between the attributes was determined. The moisture level and ash content obtained for the corn were similar to those found in literature. The levels of protein, lipids, and carbohydrates were lower than those established in the Brazilian Table of Food Composition. It was concluded that lipids were the attributes that best determine corn proteins.

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References

ANVISA –Agência Nacional de Vigilância Sanitária. Resolução RDC n° 360; de 23 de dezembro de 2003. Regulamento Técnico sobre rotulagem nutricional de alimentos embalados. DOU. Brasilia; p. 4. 2003.

AOAC –Association of Official Analytical Chemists. Official Methods of Analysis of AOAC International. 17 th etd; AOAC International; Arlington; 2000.

ARSYAD, F.; & BASUNANDA, P. Identification of agronomic traits that affect the ear weight of families BTP1-X purple sweet corn (Zea mays L. Saccharata Sturt) using path analysis. IOP Conference Series: Earth and Environmental Science: Sleman. 484 012011. 2020.

BLIGH, E.C.; & DYER, W.J. A rapid method of total lipid extraction and purification. Canadian Journal Biochemistry Physiology; Ottawa; 37; p. 911-917; 1959. D

BRAZ, R.D.S.; LACERDA, C.F.D.; ASSIS JÚNIOR, R.N.D.; FERREIRA, J.F.D.S.; OLIVEIRA, A.C.D.; & RIBEIRO, A.D.A. Crescimento e fisiologia do milho sob salinidade da água e adubação nitrogenada em dois solos. Revista Brasileira de Engenharia Agricola e Ambiental; 23(12):907-913. 2019.

CHAVAN, S.; BHADRU, D.; SWARNALATHA, V.; & MALLAIAH, B. Studies of genetic parameters; correlation analysis and path to yield and characteristics of Income allocations for sweet corn (Zea mays EU. Saccharata). International Journal of Current Microbiology and Applied Sciences: Hyderabad. V. 9. Number 7. 1725-1734. 2020.

Conab. Acompanhamento da safra brasileira de grãos: Brasília, DF, v. 11, safra 2023/24, n. 7 sétimo levantamento, abril 2024.

CRUZ, J.C.; ALVARENGA, R.C.; NOVOTNY, E.H.; PEREIRA FILHO, I.A.; SANTANA, D.P.; PEREIRA, F.T.F.; & HERNANI, L.C. Cultivo do milho. Sistema plantio direto. Ministério da Agricultura; Pecuária e Abastecimento (Ed.). Sete Lagoas; MG. Vol 51. 2002.

CRUZ, C.D. Genes: A Software Package for Analysis in Experimental Statistics and Quantitative Genetics. Acta Scientiarum: Agronomy. 35; p. 271 - 276. 2013.

DASH, P.A.; LENKA, D.; TRIPATHY, S.K.; & SWAIN, D. Character association and grain yield path analysis and their Components in corn (Zea mays L.) under heat stress. International Journal of Current Microbiology and Applied Science: Bhubaneswar. 9(3). 2020.

EMBRAPA - Empresa Brasileira de Pesquisa Agropecuária. Sistema Brasileiro de classificação de solos: Brasília; DF: Embrapa.

ed. rev. e ampl. 355 p. 2018. ISBN 978-85-7035-800-4.

EMBRAPA - Empresa Brasileira de Pesquisa Agropecuária. Embrapa Agrossilvipastoril: Primeiras contribuições para o desenvolvimento de uma Agropecuária Sustentável. Brasília. 823 p. 2019. ISBN: 978-85-7035-905-6.

FAOSTAT. Alimentos e Agricultura Organização das Nações Unidas (FAO): FAO Statistical Database. Florestal; 27(2):621–633. 2017.

HOLANDA, A.C.; FELICIANO, A.L.P.; FREIRE, F.J.; SOUSA, F.Q.; FREIRE, S.R.O.; & ALVES, A.R. Aporte de serapilheira e nutrientes em uma área de caatinga. Ciência Florestal; 27(2):621-633. 2017.

Köppen, W., & Geiger, R. (Eds.). Handbuch der klimatologie (Vol. 1). Berlin: Gebrüder Borntraeger. 44p. Vol. 1. 1930.

LAYNE, E. Spectrophotometric and turbidimetric methods of measuring proteins. In: Colowick SP; Kaplan NO. eds. Methods in enzymology; New York; Academic Press; New York; 3; p. 447 - 454; 1957.

MAMEDE, A.M.G.N.; CHITARRA, A.B.; FONSECA, M.J.O.; ANTONIO, G.S.; & PEREIRA, I.A.F. Qualidade do milho doce minimamente processado conservado sob diferentes atmosferas. Engenharia na Agricultura; 22(6):520-534. 2014.

OLAWAMIDE, D.O.; & FAYEUN, L.S. Correlation and path coefficient analysis for yield and yield components in late maturing pro-vitamin A synthetic maize (Zea mays L.) breeding lines. Journal of Experimental Agriculture International; p. 64 - 72. 2020.

OLIVEIRA, J.T.; RIBEIRO, I.S.; ROQUE, C.G.; MONTANARI, R.; GAVA, R.; & TEODORO, P.E. Contribution of morphological traits for grain yield in common bean. Bioscience Journal; 34: p. 951-956. 2018.

PERFEITO, D.G.A.; LOPES, M.C.M.; SALOMÃO, L.C.; SOUZA, M.L.C.; BENETT, C.G.S.; & LIMA, B.P. Caracterização pós-colheita de milho doce submetido ao parcelamento de fertirrigação nitrogenada. Braz. J. Food Technol; 20 e 2016140. 2017.

PINHEIRO, L.S.; VIEIRA, R.C.; BARATA, H.S.; MOTA, R.S.; SOUSA, R.F.; VIEIRA, M.M.; & SILVA, P.A. Análise de trilha da massa da espiga de milho e seus atributos físicos. Research; Society and Development; 10(1):e41510111912-e41510111912. 2021.

PINHO, L.; PAES, M.C.D.; ALMEDA, A.C.; & COSTA, C.A. Características físicas e físico-químicas de cultivares de milho-verde produzidos em sistemas de cultivo orgânico e convencional. Embrapa Milho e Sorgo em Sete Lagoas/MG. p. 4; 2008.

PINHO, R.G.; CARVALHO, G.S.; RODRIGUES, V.N.; PEREIRA, J. Características físicas e químicas de cultivares de milho para produção de minimilho. Ciência e Agrotecnologia; Lavras - MG; 27(6):1419-1425. 2003.

SINGH, D.; KUMAR, A.; KUMAR, R.; SINGH, S.K.; KUSHWAHA, N.; & MOHANTY, T.A. Correlation and Path Coefficient Analysis for ‘Yield Contributing’Traits in Quality Protein Maize (Zea mays L.). Current Journal of Applied Science and Technology; p. 91 - 99. 2020.

SRAVANTI, K.; SWARNALATHA, I.; SUDARSHAN, M.R.; & SUPRIYA, K. Evaluation of maize (Zea mays L.) genotypes for variability; heritability and genetic advancement. International Journal of Current Microbiology and Applied Sc. 6(10): 2227-2232. 2017.

SUKUMAR, K.; HEMALATHA, V.; REDDY, N.V.; & REDDY, N.S. Association of Character and Path Analysis for Performance and Quality Characteristics in Quality protein corn (Zea mays EU.). International Journal of Current Microbiology and Applied Sciences: Telangana. 08(08). 2019.

TACO - Tabela Brasileira de Composição de Alimentos: versão 4ª edição revisada e ampliada. Campinas; 28 p. UNICAMP/NEPA. 2011.

TBCA - Tabela Brasileira de Composição de Alimentos. 56p. 2020.

UBI, M.G.; ONABE, B.M.; & KALU, E. Path coefficient analysis; character association and Variability Studies in Selected Maize (Zea mays L.) Genotypes grown in southern Nigeria. Annual biology research and review: Veracruz. 33(3):1-6. 2019.

USDA - United States Department of Agriculture - World Agricultural Production. Circular Series WAP 4-24. 34p. April 2024.

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Published

2024-08-23

How to Cite

Pinheiro, L. da S., Vieira, M. M., Nunes, G. G. T., Silva, C. R. da, Oliveira, J. T., Castro, T. R., Roque, C. G., & Silva, P. A. (2024). Chemical attributes of corn under the path analysis in an Amazon ecosystemic domain. Engineering in Agriculture, 32(Contínua), 37–46. https://doi.org/10.13083/reveng.v32i1.16811

Issue

Vol. 32 No. Contínua (2024)

Section

Articles

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