Physicochemical characterization and correlation of raw cow’s milk according to classification assigned in Panama

• Published in: Agronomía mesoamericana Vol. 32; no. 3; pp. 939 - 948
• Main Authors: Ruiz Morales, Giancarlo Antonio, Fossatti Carrillo, Anibal, Montero Prado, Pablo
• Format: Journal Article
• Language: English
• Published: Universidad de Costa Rica 01.09.2021
• Subjects: chemical parameters; dairy herd; grade; hato lechero; leche no procesada; milk production; parámetros físico; physic; physic-chemical parameters; producción láctea; químicos; unprocessed milk
• ISSN: 1021-7444; 2215-3608; 2215-3608
• DOI: 10.15517/am.v32i3.45471

Introduction. Currently, there are no bibliographic or statistical records that allow establishing a correlation between the physical-chemical quality characteristics of raw cow’s milk produced in the Republic of Panama and the classification it receives. Objective. To characterize and quantify the physical-chemical parameters of the quality of raw cow’s milk and correlate these characteristics with the classification that milk receives in Panama. Materials and methods. A stratified sampling was carried out according to the classification of raw cow´s milk (grade A, B, and C), 48 of grade A, 71 of grade B, and 393 of grade C. Random samples were taken in Cocle, Veraguas, Herrera and Los Santos during the rainy season from June to September 2018. In the Chiriquí province, the sampling was conducted during the dry season, from January to March 2019. In addition, it was necessary to have at least 512 producers or farms, so that the analysis reached a confidence level of 95 %, a standard deviation of 5 %, and a limit of error of 5 %. Results. The values found allow us to consider that the milk produced in Panama has the physical-chemical characteristics according to international standards. The correlation analysis indicated that the protein had a high relationship with solids non-fat (SNF), density (D), and lactose (L) (0.93, 0.91, and 0.96, respectively); also L is strongly related to SNF and D (0.94 and 0, 91, respectively). Conclusions. The analysis of variance did not allow to establish significant differences between the three existing classifications in the country, which allow a distribution of milk according to the grades of these parameters. However, it was possible to establish the existing correlation between some of these parameters.