Abstract
To determine the optimum harvest time of kikuyu grass (Cenchrus clandestinus (Hochst. ex Chiov.) Morrone), according to the number of leaves per tiller and nitrogen fertilization level, an experiment was carried out under greenhouse conditions using a 4×4 factorial design. The factors were the number of leaves per tiller (3, 4, 5, 6 leaves) and level of nitrogen (N) fertilization (0, 50, 100,150 kg of Nitrogen ha-1 year-1). Dry matter (DM) yield and nutritional quality were determined. Additionally, the independent effect of nitrogen fertilization on undisturbed height, tiller density, and the phyllochron were evaluated. When the number of leaves per tiller increased (3 to 6), the leaf yield and dead forage also increased (P<0.05). The leaf-stem ratio (L:S) remained constant (P>0.05) among the number of leaves. Green forage-dead forage ratio (GF:DF) decreased (P<0.05) with a higher number of leaves per tiller. The concentration of crude protein (CP) decreased while the concentration of neutral detergent fiber (NDF) increased with an increment of the number of leaves per tiller (P<0.05). Nitrogen fertilization increased the undisturbed height, the density of tillers, DM yield from leaves, stems and green forage, GF:DF, and CP (P<0.05) while NDF decreased (P<0.05). The phyllochron was higher without N fertilization. The effects of the number of leaves per tiller and N fertilization on the most variables measured were independent of each other. However, due to an increment in DM yield caused by N fertilization, the pasture can be defoliated with fewer leaves per tiller, increasing defoliation frequency and improving forage quality
Publisher
Universidad Nacional de Colombia
Subject
Horticulture,Agronomy and Crop Science,Animal Science and Zoology,Food Science,Forestry
Reference27 articles.
1. Almeida ACS, Mingoti R, Coelho R, and Lourenço LF. 2011. Simulação do crescimento do capim Tanzânia irrigado com base na unidade fototérmica, na adubação nitrogenada e na disponibilidade hídrica do período. Acta Scientiarum. Agronomy 33(2): 215-222. doi: 10.4025/actasciagron.v33i2.4901
2. Andrade AS, Santos PM, Pezzopane JRM, de Araujo LC, Pedreira BC, Pedreira CGS, Marin FR, and Lara MAS. 2015. Simulating tropical forage growth and biomass accumulation: an overview of model development and application. Grass and Forage Science 71:54-65. doi:10.1111/gfs.12177
3. Anwandter V, Balocchi O, Parga J, Canseco C, Teuber N, Abarzúa A, Lopetegui J y Demanet R. 2007. Capítulo 6: Métodos y control del pastoreo, pp. 91-105. En: Teuber N, Balocchi O and Parga J. (eds.). Manejo del Pastoreo. Imprenta América. Osorno, Chile.
4. Ariza-Nieto C, Mayorga OL, Mojica B, Parra D and AfanadorTellez G. 2018. Use of LOCAL algorithm with near infrared spectroscopy in forage resources for grazing systems in Colombia. Journal of Near Infrared Spectroscopy 26(1):44–52. doi: 10.1177/0967033517746900
5. Bernal J y Espinosa J. 2003. Manual de nutrición y fertilización de pastos. pp. 94. International Plant Nutrition Institute. Quito, Ecuador.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献