MCMaría Victoria Galeano Correa

María Victoria Galeano Correa

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


María Victoria Galeano Correa has a total of 8 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Enteric Methane Emissions from Holstein Cows Grazing Kikuyu Grass in the Colombian High Tropics During Two Seasons

    by Ligia Johana Jaimes Cruz, Karla Fernanda Molina Macias, Santiago Cadavid Henao, Mariano Eliecer Acosta Lobo, Wilmer Alfonso Cuervo Vivas, María Victoria Galeano Correa, Héctor Jairo Correa Cardona, José Eduardo Escobar Riomalo, Ángel Giraldo Mejía

    Enteric methane emissions (EMEs) from grazing dairy systems in tropical regions remain poorly quantified, increasing uncertainty in national greenhouse gas inventories. This study aimed to quantify EMEs using electronic spirometry masks (ESMs) in dairy cows in the Colombian high tropics during two precipitation seasons in two adjacent milk production management systems. Six cows of a high-milk-yield management system (HMYMS; >30 L/d) and six cows of a low-milk-yield management system (LMYMS; Cenchrus clandestinus) and supplemented with concentrate feed were monitored by EMEs, exhaled air volume, feed intake, milk yield and composition. Data were analyzed in a 2 × 2 factorial arrangement (season × production system). Season affected kikuyu chemical composition (p < 0.05) but not dry matter intake (DMI), milk production, quality, nor EMEs (p > 0.05). However, the absence of seasonal effects on these variables may be due to the sample size. Although HMY cows had a higher DMI (kg DM/d; p < 0.01) and EME (g/d, L/d; p < 0.05), they exhibited a lower methane intensity (both, L/L milk yield and L/kg fat-corrected milk) and gross energy intake lost as methane (p < 0.05). Positive correlations were found between EMEs and total dry matter intake (r = 0.638) and milk production (r = 0.726). The observed methane yield was comparable to previous studies for tropical kikuyu-based systems but lower than reports from temperate regions, suggesting seasonal-driven kikuyu quality does not translate into EME changes in high tropic regions. Animal productivity level was a key driver of EME magnitude and efficiency.


  • Open Access

    Enteric Methane Emissions from Holstein Cows Grazing Kikuyu (Cenchrus clandestinus) Grass in a Herd in Colombian High Tropic at Two Seasons of the Year

    by Ligia J. Jaimes Cruz, Karla F. Molina Macias, Santiago Cadavid Henao, Mariano E. Acosta Lobo, Wilmer Cuervo, Maria V. Galeano Correa, Héctor J. Correa Cardona, José E. Escobar Riomalo, Ángel Giraldo Mejía

    Enteric methane emissions (EME) from grazing dairy systems in tropical regions remain poorly quantified, increasing uncertainty in national greenhouse gas inventories. This study aimed to quantify EME using electronic spirometry masks (ESM) in dairy cows in Colombian high tropics during two precipitation seasons. Six high milk yield (HMY; >30 L/d) and six low milk yield (LMY; Cenchrus clandestinus) and supplement with concentrate feed were monitored by EME, exhaled air volume, feed intake, milk yield and composition. Data was analyzed in a 2 × 2 factorial arrangement (season × production level). Season affected Kikuyu chemical composition (P< 0.05) but not dry matter intake (DMI), milk production, quality, nor EME (P > 0.05). Despite HMY cows having a greater DMI (kg DM/d; P < 0.01) and EME (g/d, L/d; P < 0.05) exhibited lower methane intensity (g / kg fat-corrected milk) and gross energy intake lost as methane (P < 0.05). Positive correlations were found between EME and total dry matter intake (r = 0.638) and milk production (r = 0.726). The observed methane yield was comparable to previous studies for tropical kikuyu-based systems but lower than reports from temperate regions, suggesting seasonal-driven kikuyu quality does not translate into EME changes in high tropic regions. Animal productivity level was a key driver of EME magnitude and efficiency, effectively measured by ESM which may represent a practical tool for narrowing EME estimates for tropical pasture-based dairy systems.