Growth and Yield of Pepper (Capsicum chinense JACQ.) as Influenced by Almond (Terminalia catappa L.) Leaves with Cattle Manure Compost in Ibadan, Nigeria
AbstractIn order to study the effects of almond leaves with cattle manure (AC) compost on growth and yield of pepper, an experiment was conducted in the screenhouse located behind the Department of Agronomy, University of Ibadan in 2020. Ratio 1:1 (w/w) Almond leaves + Cattle manure (AC) was composted using a static pile method. Effect of five treatments: AC (14, 18 and 22 t/ha), NPK 15-15-15 (200 kg/ha) and the control (without fertilizer) on the growth and yield of Capsicum chinense were investigated. Treatments were each mixed with 5 kg soil in pots and the experiment was arranged in a completely randomized design with four replications. Data were taken on plant height (PH) stem girth (SG), number of branches (NB), number of leaves (NL), number of fruit (NF) and fruit yield of pepper (FY). Data collected were analyzed using descriptive statistics and ANOVA at α0.05. Significant differences were observed for PH, SG, NL and NB among the treatments investigated. However, NL (46.3±1.1) recorded under AC at 14 t/ha was significantly higher than other treatments. The NF under AC at 14 t/ha (18.8±2.1) was also significantly higher than the control (10.4±0.1) and NPK (15.4±1.5) by 80.7 and 22.1% respectively. Relative to the control; NPK, AC (22 t/ha), AC (18 t/ha) and AC (14 t/ha) significantly increased FY of pepper by 15.3, 16.9, 34.6 and 53.7% respectively. Application of almond leaves with cattle manure compost at the rate of 14 t/ha proved to be most effective and therefore recommended for pepper production in Ibadan.Keywords: Cattle manure, Terminalia catappa leaves, cattle manure, compost, NPK, Pepper
Copyright (c) 2021 A. Ogunsesin, P.W. Olugbemi
This work is licensed under a Creative Commons Attribution 4.0 International License.
Terms and conditions of Creative Commons Attribution 4.0 International License apply to all published manuscripts. This Journal is licensed under a Creative Commons Attribution 4.0 International License. This licence allows authors to use all articles, data sets, graphics and appendices in data mining applications, search engines, web sites, blogs and other platforms by providing appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
A competing interest exists when professional judgment concerning the validity of research is influenced by a secondary interest, such as financial gain. We require that our authors reveal all possible conflicts of interest in their submitted manuscripts.
The Editor reserves the right to shorten and adjust texts. Significant changes in the text will be agreed with the Authors.