Chemical composition of refrigerated milk from the mesoregions of the Brazilian savanna

The aim of this study was to assess the quality of milk in terms of its chemical composition in the mesoregions of the state of Goiás. Samples were collected during both the rainy and dry seasons from 2011 to 2014. A total of 17,393 data points on milk composition were extracted from the Milk Quality Laboratory’s database. To determine whether the year, rainy and dry seasons, and mesoregion had an influence on milk components, we conducted a multiple linear regression analysis and used the Wald test to assess the significance of the model coefficients. Apart from fat and lactose, all the other components showed positive correlations with each other, and all these correlations were statistically significant. During the dry season, the percentages of fat, protein, non-fat dry extract, and total dry extract were more significant compared to the rainy season. Lactose exhibited antagonistic behavior compared to other milk components with respect to seasonality, as the lactose content was higher during the rainy season. The chemical composition of milk displayed both seasonal and regional variations.

Authors

Institutions

Publication Details

Journal
Food Science and Technology
Published
2024-10-03
DOI
https://doi.org/10.5327/fst.00303
Primary Topic
Food, Nutrition, and Cultural Practices
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Chemical composition of refrigerated milk from the mesoregions of the Brazilian savanna

Karen Martins Leão, Patrick Bezerra Fernandes, Edmar Soares Nicolau, Clarice Gebara et al.
Food Science and Technology
Food, Nutrition, and Cultural Practices
article

Chemical composition of refrigerated milk from the mesoregions of the Brazilian savanna

Karen Martins Leão, Patrick Bezerra Fernandes, Edmar Soares Nicolau, Clarice Gebara, Ruthele Moraes do Carmo, Pamella Cristina Teixeira, Marco Antônio Pereira da Silva, Abner Alves Mesquita, Rafaella Belchior BRASIL
article en

Abstract

The aim of this study was to assess the quality of milk in terms of its chemical composition in the mesoregions of the state of Goiás. Samples were collected during both the rainy and dry seasons from 2011 to 2014. A total of 17,393 data points on milk composition were extracted from the Milk Quality Laboratory’s database. To determine whether the year, rainy and dry seasons, and mesoregion had an influence on milk components, we conducted a multiple linear regression analysis and used the Wald test to assess the significance of the model coefficients. Apart from fat and lactose, all the other components showed positive correlations with each other, and all these correlations were statistically significant. During the dry season, the percentages of fat, protein, non-fat dry extract, and total dry extract were more significant compared to the rainy season. Lactose exhibited antagonistic behavior compared to other milk components with respect to seasonality, as the lactose content was higher during the rainy season. The chemical composition of milk displayed both seasonal and regional variations.

Food Science and TechnologyVol. 44
Instituto Federal Goiano (BR), Universidade Federal de Goiás (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Goiás, Instituto Federal Goiás
Openalex Percentile: Top 80%
Food, Nutrition, and Cultural Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.