Sustainability Potential of Kikuyu Grass ( Pennisetum clandestinum ) in Livestock Farming of Peru’s Highland Regions
Wuesley Yusmein Alvarez-García (),
Arturo Diaz Herrera,
Yessica Becerra,
Luis A. Vallejos-Fernández,
Roy Florián,
William Carrasco-Chilón,
Marieta Cervantes-Peralta,
Carlos Quilcate and
Yudith Muñoz-Vilchez ()
Additional contact information
Wuesley Yusmein Alvarez-García: Facultad de Ingeniería en Ciencias Pecuarias, Universidad Nacional de Cajamarca, Cajamarca 06003, Peru
Arturo Diaz Herrera: Facultad de Ingeniería en Ciencias Pecuarias, Universidad Nacional de Cajamarca, Cajamarca 06003, Peru
Yessica Becerra: Facultad de Ingeniería en Ciencias Pecuarias, Universidad Nacional de Cajamarca, Cajamarca 06003, Peru
Luis A. Vallejos-Fernández: Facultad de Ingeniería en Ciencias Pecuarias, Universidad Nacional de Cajamarca, Cajamarca 06003, Peru
Roy Florián: Facultad de Ingeniería en Ciencias Pecuarias, Universidad Nacional de Cajamarca, Cajamarca 06003, Peru
William Carrasco-Chilón: Estación Experimental de Baños del Inca, Dirección de Desarrollo Tecnológico Agrario, Instituto Nacional de Innovación Agraria, Los Baños del Inca, Cajamarca 06003, Peru
Marieta Cervantes-Peralta: Laboratorio de Suelos, Agua y Foliares, Dirección de Supervisión y Monitoreo en las Estaciones Experimentales Agrarias, Instituto Nacional de Innovación Agraria, Los Baños del Inca, Cajamarca 06003, Peru
Carlos Quilcate: Dirección de Desarrollo Tecnológico Agrario, Instituto Nacional de Innovación Agraria, La Molina, Lima 15024, Peru
Yudith Muñoz-Vilchez: Estación Experimental de Baños del Inca, Dirección de Desarrollo Tecnológico Agrario, Instituto Nacional de Innovación Agraria, Los Baños del Inca, Cajamarca 06003, Peru
Sustainability, 2024, vol. 16, issue 24, 1-12
Abstract:
Sustainable Kikuyu ( Pennisetum clandestinum ) production in the Peruvian highlands was evaluated through productivity, growth, and chemical composition. This study assessed the effects of nitrogen (N) rate, organic matter application, and cutting frequency on Kikuyu grass’s yield, chemical composition, plant height, and growth rate. The experiment followed a randomised block design with split plots. A multivariate analysis of variance (MANOVA) assessed the differences across study factors. Applying 120 kg of N ha −1 yr −1 raised the protein yield to 3454.53 kg ha −1 , with a crude protein (CP) content of 23.54%. Moreover, fencing with cypress ( Cupressus lusitanica ) trees influenced the Kikuyu biomass, producing 19,176.23 kg of dry matter (DM) ha −1 yr −1 at 8.5–11.5 m from the tree base. Organic matter enhanced the Kikuyu aboveground biomass. While dry matter production showed no significant difference between 30- and 60-day cutting intervals, CP content was higher at 30 days ( p < 0.05). Peak daily dry matter (DM) production occurred at 45 days, achieving a biomass accumulation of 21,186.9 kg of DM ha −1 yr −1 . Given its high yield and favourable chemical composition, Kikuyu is a viable option for dairy cattle feed, especially in highland areas. Implementing a plant improvement programme for Kikuyu could further enhance its nutritional value for high-production dairy cows.
Keywords: grassland; nutritive value; cattle feeding; high altitudes; acid soils; silvopastoral system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2071-1050/16/24/11021/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/24/11021/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:24:p:11021-:d:1544734
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().