Abstract. Sudharta KA, Hakim AL, Fadhilah MA, Fadzil MN, Prayogo C, Kusuma Z, Suprayogo D. 2022. Soil organic matter and nitrogen in varying management types of coffee-pine agroforestry systems and their effect on coffee bean yield. Biodiversitas 23: 5884-5891. Coffee cultivation in agroforestry systems is mostly planted without soil fertility management. While there are several management interventions to improve soil quality in agricultural practices, it is not clear whether particular treatments, such as adding organic fertilizers and nitrogen fertilizers could increase coffee production in agroforestry settings. This study aimed to analyze soil organic matter and nitrogen in varying management types and its effect on coffee bean yield in a coffee-pine agroforestry setting in East Java, Indonesia. We evaluated four types of coffee management (treatments) namely: (i) no management, (ii) pruning coffee plant branches, (iii) a combination of pruning and addition of fertilizers with a planting distance of pine trees of 3 x 2 m, and (iv) pruning under pine trees with a planting distance of 6 x 2 m. The soil organic matter, total and available soil nitrogen were measured at 0-0.2 m and 0.2-0.4 m soil depths. We measured coffee bean yield to 100 coffee plants per plot. The coffee bean yield in the no-management treatment reached 376 kg ha-1, while the yield under the other three treatments increased up to 3.9 times compared with no-management. This increasing coffee bean yield did not correlate with soil organic matter in topsoil, with a correlation between coffee bean yield and total ant available soil nitrogen being positive and negative, respectively. We concluded that the limitation of N in the coffee-pine agroforestry system would require management intervention in the form of adding nitrogen fertilizers to increase coffee bean yield.
Each land use has a different vegetation density and the litter input as a source of soil organic matter. Vegetation density index can be analyzed based on the NDVI equation using the GIS approach. This study aims to determine the effect of different land uses and NDVI on soil organic matter content and the mapping of soil organic matter content. This research was conducted from April to August 2019 in Turen District, Malang Regency. The survey method used for collecting data in the field (36 observation points) based on differences in landform, relief, slope, land use (irrigated and rainfed rice fields), and vegetation density index classes (low, medium, high). Soil samples were taken at 0-20 cm depth and analyzed for soil organic matter content. Data interpolation using IDW was used for mapping soil organic matter. The results showed that there was a very significant effect between differences in land use and NDVI class on the content of soil organic matter (p <0.001). NDVI value gives an effect of 81.5% on soil organic matter content. The distribution of soil organic matter content is classified into 5 classes, which are very low, low, moderate, high and very high.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.