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

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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Publication Details

Journal
Revista Engenharia na Agricultura - REVENG
Published
2024-08-23
DOI
https://doi.org/10.13083/reveng.v32i1.16811
Primary Topic
Banana Cultivation and Research
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Túlio Russino Castro, Mateus Monteles Vieira, Luana da Silva Pinheiro, Cassiano Garcia Roque et al.
Revista Engenharia na Agricultura - REVENG
Banana Cultivation and Research
article

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

Túlio Russino Castro, Mateus Monteles Vieira, Luana da Silva Pinheiro, Cassiano Garcia Roque, Claudete Rosa da Silva, Job Teixeira de Oliveira, Priscilla Andrade Silva, Gabriel Gustavo Tavares Nunes
article en

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.

Revista Engenharia na Agricultura - REVENGVol. 32(Contínua)
Universidade Federal de Mato Grosso do Sul (BR), Universidad de la Amazonia (CO), Universidade Federal do Maranhão (BR)
Universidade Federal Rural da Amazônia, Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul, Universidade Federal de Mato Grosso do Sul, Universidade Federal do Maranhão
Openalex Percentile: Top 93%
Banana Cultivation and Research
DOIOpen Access PDFOpenAlex
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Chemical attributes of corn under the path analysis in an Amazon ecosystemic domain — Túlio Russino Castro, Mateus Monteles Vieira, et al. · Revista Engenharia na Agricultura - REVENG (2024) | TGRS Research Map | TGRS