Corrigendum to "Growth and Regrowth Production of Andean Grassland Species with the Application of Natural Fertilizers"
Centro de Investigación en Alta Montaña de la Universidad Nacional del Centro del Perú, Av. Mariscal Castilla 3909, CEP 12006 El Tambo, Huancayo
Facultad de Zootecnia, Universidad Nacional del Centro del Perú. Av. Mariscal Castilla 3909, CEP 12006 El Tambo, Huancayo, Peru
University of Leuven (KUL), Celestijnenlaan 200 E, Box 2411, 3001, Leuven, Belgium
Asociación Civil Ecosistema & Desarrollo Sostenible, Calle Imancipación 131 Urb. Sta Patricia, Peru
Luxembourg Institute of Science and Technology, Materials Research and Technology Department, L-4940 Hautcharage, Luxembourg
Data publikacji: 01-06-2022
Autor do korespondencji
Raúl M. Yaranga   

High Mountain Research Centre, Universidad Nacional del Centro del Perú. Av. Mariscal Castilla 3909, CEP 12006 El Tambo, Huancayo, Peru
J. Ecol. Eng. 2022; 23(6):253-264
The grassland ecosystems in the central Andes of Peru, have extensive vegetation formations dominated by tussock grasslands that are not consumed by Andean livestock (Andean camels, cattle, and sheep), so they are burned by rural inhabitants to cause tender shoots, but that cause serious consequences for the ecosystem and its ecosystem services; however, when used as a supplier of plant fiber, this negative action can be reversed in favor of the care and protection of these vegetation formations. For this to happen, it is necessary to generate knowledge of the recovery potential and productive capacity of these species, for this purpose it has been proposed as a research objective, to evaluate the growth and phytomass production of the shoot after cutting, of 5 species of grasses more widespread, in 5 plots of 900 m2 and 50 subplots of 32 m2, under the effect of the application of cattle manure and phosphate rock, which were controlled for 9 months (October 2020 to June 2021). It has been observed that there are differences between the effect of applied manure, between plant species, and plot location for p ≤ 0.01; likewise, a high canonical correlation between biological variables (canopy cover, canopy height, and dry matter production) and climatic variables (maximum temperature, minimum T. in °C and precipitation in liters/m2) has been evidenced.
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