Integrating bioenergy feedstock production with existing agricultural production systems and available land, resources, economic systems, and communities is critical for long-term sustainability of production systems. The ability of an agroforestry system of loblolly pine and switchgrass to produce biomass feedstock in flood prone sites are strategies to advance towards. The specific objective of this study is to assess and compare the performance of agroforestry against monoculture systems based on land use and production yield, by measuring various efficiency indices. Results across plots indicated biomass yield of switchgrass and loblolly pine grown in monoculture system were consistently higher in comparison to those grown in agroforestry system, where an average of 2.27 Mg/ha year -1 and 2.50 Mg/ha year -1 were seen respectively. The combined analysis of land equivalent ratio (LER) for loblolly pine and switchgrass intercrops, however, was a ratio ranging 1.25-1.74, which shows that pure strand or monoculture system would require 25-74 % more land to produce the same amount of yield relative to intercropping (agroforestry) system. An Agroforestry system has great potential for producing biomass feedstock for bioenergy. Using agroforestry intercropping of woody and perennial herbaceous bioenergy crops enhances combined biomass yield, decreases the need for input, and therefore reduces the cost of biomass production.
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.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.