Production and chemical composition of hybrid Brachiaria cv. Mulato II under a system of cuts and nitrogen fertilization
DOI:
https://doi.org/10.14393/BJ-v33n3-32956Keywords:
ANR, Bromatological composition, Chemical fertilizers, EANCAbstract
The production capacity of green and dry mass of the entire plant, efficiency of N conversion, apparent N recovery and the chemical composition of cultivar Mulato II was evaluated under a system of cuts and nitrogen doses. The assay, conducted in the municipality of Goiânia, GO, Brazil, had a totally randomized 2 x 4 factorial design (2 height cuts, 0.40 and 0.50 m and 4 nitrogen doses), with three replications and subdivided subplots. Treatments comprised four N doses (0, 50, 100 and 150 kgha-1 N, with urea as nitrogen source). There was no significant interaction (p>0.05) between N doses and cut heights for the variables productivity of green (PGM) and dry (PDM) mass, nitrogen use efficiency (NUE) and apparent N recovery (ANR), which were neither affected (p<0.05) by N doses nor by evaluated cut heights. Average productivity reached 59,450 kgha-1 (PGV) and 10,367 kgha-1 (PDM) and it was produced an average of 19.62 kg of DM per kg of N, with a mean 56.00% recovery. N doses and cut heights did not affect (p>0.05) DM rates of the plant, whilst mean dry matter rate was 17.49%. CP rates were affected (p<0.05) by N doses (0, 50, 100 and 150 kgha-1) and cut heights (0.40 and 0.50 m) and by the interaction of these factors. CP rates of the entire plant hybrid Brachiaria cv. Mulato II increased (p<0.05) due to N doses through an increasing linear relationship. Since there was a significant effect (p<0.05) with regard to cut height and CP rates decreased with height increase. NDF rates were significantly influenced by N doses (p<0.05) and by cut heights (p<0.05), with significance for the interaction (p<0.05) of over 100 kgha-1 N doses only. No significant interaction (p>0.05) occurred in ADF rates among the variables analyzed. ADF contents were influenced by N supply (p<0.05) with decreasing quadratic regression as N doses increased.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 Danilo Leal Marques, Aldi Fernandes de Souza França, Leonardo Guimaraes Oliveira, Emmanuel Arnhold, Reginaldo Nassar Ferreira, Daniel Staciarini Correa, Debora Carvalho Bastos, Ludmilla Costa Brunes
This work is licensed under a Creative Commons Attribution 4.0 International License.