https://cienciasagricolas.inifap.gob.mx/index.php/agricolas <p>The <strong>Revista Mexicana de Ciencias Agrícolas</strong>. It is a scientific journal edited by the <strong>Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias</strong> (INIFAP).</p> <p>It is bilingual and is a continuously published magazine.</p> <p>Original and unpublished publications, related to agricultural sciences and related areas, which are presented in the form of scientific articles, research notes, essays and description of crops, with the purpose of disseminating the results of research on the agricultural topic to society. .</p> <p><strong>Revista Mexicana de Ciencias Agrícolas </strong>is aimed at researchers, academics and, in general, at all people in society interested in agricultural sciences. <strong>Revista Mexicana de Ciencias Agrícolas</strong> has managed to position itself as a knowledge transfer resource.</p> Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias es-ES Revista Mexicana de Ciencias Agrícolas 2007-0934 <p>The authors who publish in <strong>Revista Mexicana de Ciencias Agrícolas </strong>accept the following conditions:</p> <p>In accordance with copyright laws, <strong>Revista Mexicana de Ciencias Agrícolas</strong> recognizes and respects the authors’ moral right and ownership of property rights which will be transferred to the journal for dissemination in open access. Invariably, all the authors have to sign a letter of transfer of property rights and of originality of the article to Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP) [National Institute of Forestry, Agricultural and Livestock Research]. The author(s) must pay a fee for the reception of articles before proceeding to editorial review. </p> <p>All the texts published by <strong>Revista Mexicana de Ciencias Agrícolas</strong> —with no exception— are distributed under a Creative Commons License Attribution-NonCommercial 4.0 International (CC BY-NC 4.0), which allows third parties to use the publication as long as the work’s authorship and its first publication in this journal are mentioned.</p> <p>The author(s) can enter into independent and additional contractual agreements for the nonexclusive distribution of the version of the article published in <strong>Revista Mexicana de Ciencias Agrícolas</strong> (for example include it into an institutional repository or publish it in a book) as long as it is clearly and explicitly indicated that the work was published for the first time in <strong>Revista Mexicana de Ciencias Agrícolas</strong>.</p> <p>For all the above, the authors shall send the Letter-transfer of Property Rights for the first publication duly filled in and signed by the author(s). This form must be sent as a PDF file to: <a href="mailto:revista_atm@yahoo.com.mx">revista_atm@yahoo.com.mx</a>; <a href="mailto:cienciasagricola@inifap.gob.mx">cienciasagricola@inifap.gob.mx</a>; remexca2017@gmail.</p> <p> </p> <p>This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 International license.</p> https://cienciasagricolas.inifap.gob.mx/index.php/agricolas/article/view/3664 <p>Knowledge of the soil carbon stock (SCS) is vital for appropriate farming practices management, ie. tillage and to monitor SCS changes as mitigation strategies of carbon footprint. This study aims to quantify the variability and spatial distribution of the SCS. In an area of 1 ha 45 micro-pit (1 x 0.8 x 1 m) were divided into four strata. Vertical distribution of soil carbon was quantified along with other chemical and physical soil properties that affect rice production in Parrita, Costa Rica. A map of spatial prediction of the distribution and goodness-of-prediction values were calculated to estimate the effectiveness of the SCS prediction when different numbers of sampling points were used 45, 27, 15 and 7 microplots. As accurate measurements, the Mean Absolute Error and the Mean Square Error were calculated. In this study, the SCS was 85.8 (±2.6) Mg C ha^-1, into the total profile (0-100 cm), where the first 30 cm represented 46.2%. Prediction of the spatial distribution suggests that in annual agricultural crops, with tillage systems 15 sampling points ha^-1 a can effectively estimate the SCS.</p> Roberto Aguirre-Elizondo Mayela María Monge Muñoz Ana Gabriela Pérez-Castillo Melvin Alpízar-Marín Helber Guillen-Arroyo Cristina Chinchilla-Soto Copyright (c) 2025 Revista Mexicana de Ciencias Agrícolas http://creativecommons.org/licenses/by-nc/4.0 2025-07-23 2025-07-23 16 5 e3664 e3664 10.29312/remexca.v16i5.3664 https://cienciasagricolas.inifap.gob.mx/index.php/agricolas/article/view/3784 <p>The present study was conducted at the Center for Research in Food and Development in 2024. Image analysis is an essential tool that can be used in food process control. This study aimed to analyze, using imaging techniques, the morphological properties of cookies made with wheat and oats in different percentages and their relationship with cookie firmness. The texture profile of the dough obtained from the different formulations, and the weight, diameter, height, and firmness of the cookies were determined. A morphological characterization of the cookies was carried out by means of image analysis. These measurements focused on the overall color of the surface, as well as the characteristics of the surface and internal texture of the cookies through the analysis of the crumb. The results showed decreased firmness (151.96 N to 103.17 N) as the percentage of substitution increased, a similar behavior was observed in the weight and height of the cookie, whereas the diameter was not affected. Regarding the image analysis, greater cracking of the cookie surface was observed as the percentage of substitution increased. Color changes were observed in the crumb towards lighter areas, indicating a decrease in bubbles in the cookie crumb. Image analysis can be an important alternative to determine the quality of a finished product, in this case, a cookie.</p> Samuel Verdú-Amat María del Carmen Granados-Nevárez Nina Gisella Heredia-Sandoval Alma Rosa Islas-Rubio Francisco Vásquez-Lara Copyright (c) 2025 Revista Mexicana de Ciencias Agrícolas http://creativecommons.org/licenses/by-nc/4.0 2025-07-21 2025-07-21 16 5 e3784 e3784 10.29312/remexca.v16i5.3784