This study aims to evaluate certain tubers of new sweet potato clones for their morphological characters of and yield under low input conditions in the middle highland. This study was conducted at Saree, Aceh Besar, the Province of Aceh (485 m ASL) from February to July 2015. The study used a Completely Randomized Block Design of non-factorial with 12 sweet potato clones consisting of nine clones passed by CIP-SEA Bogor, Indonesia (CIP-LSQ, CIP-1945, CIP-MAN, CIP-513, CIP-BDG, CIP-WHI-5, CIP-W86P, CIP-B9, and CIP-204), one national variety (Antin-1), and two local clones (Orange Saree and Purple Saree). The results showed that there were differences in the characters of 12 sweet potato clones in terms of their tuber shapes, skins and flesh colors. Sweet potato tuber shape being studied consisted of an oval, round and long. Tuber flesh color generally was white, cream, yellow, orange and purple. Meanwhile, CIP-1945, CIP-W86P, Local Orange Saree clones, and Antin-1 variety have orange tuber flesh. CIP-WHI5 clone has the highest number of tubers, while CIP-204 clone has the largest diameter and length of tubers, and the highest in tuber yield.
The productivity of Arabica coffee in the Gayo Highlands, Aceh, Indonesia is far below its potential because of climate change and inadequate agricultural practices. To develop a strategy on sustainable coffee yield and improvements of smallholder farming systems, we investigated coffee productivity in three classes of shade densities and three classes of total management intensities index (TMI) along six altitude gradients (1,000–1,600 m above sea level) over 234 farmers’ plots. Coffee productivity was significantly affected by altitude, shade density, and TMI. Our results showed a stronger positive altitudinal effect with coffee productivity in middle and higher altitudes than in lower altitudes and were related to shade density and TMI. Increasing elevation of coffee plantation from lower to middle altitudes and shade from low to medium density increased in coffee productivity but further increase to higher altitude seemed to depress coffee productivity. Increasing TMI positively increased coffee productivity across altitudes. Shade density and TMI played significant roles in coffee productivity in lower altitudes; therefore, coffee farmers have to increase the shade to medium or higher density and at the same time improve plantation management to medium or high TMI.
The productivity of Arabica coffee in low-altitude areas in Aceh have been declined, caused by an increase in temperatures, and by pests and diseases attack. This study aims to develop adaptation strategies to climate change in Aceh trough understanding how coffee productivity correlates with the management practices across the altitude. To find out a correlation between farming practices variables and coffee productivity, Spearman's rank test was used. To assess whether farming practice explanatory variables affected by the altitudes, a non-parametric with the Kruskal-Wallis Test, with Tukey’s post-hoc test (P0.05) with Chi-square distance were used. The results showed that coffee productivity was positively and significantly correlated to pruning, weeding, application of fertilizer, and application of pest and disease control, but was not to coffee plant density, sustainability certification, land conservation, and age of the coffee plant. Adaptation strategies for farmers in higher altitudes are to maintain the coffee plant density as well as shade density at an optimum level, followed by increasing management practices such as pruning, weeding, application of fertilizer, and pest and diseases control; in lower altitudes, those are to increase shade density both with Leucaena and multipurpose plants such as avocado and citrus, as well as increasing management practices such as land conservation, pruning, weeding, application of fertilizer and pest and diseases control. In middle altitudes, those are to maintain and improve management practices applied
Mangrove forests are a unique coastal ecosystem with trees adapted to a constantly fluctuating and sometimes extreme physical environment. Mangrove forests provide important ecosystem services that benefit local people and all of us in terms of climate regulation through the storage of greenhouse gasses in biomass. This research reports carbon stock, wood volume, tree density, and biodiversity indices for two mangrove forest areas in Langsa City Regency, Aceh Province, Indonesia. The two sites represent and inland area and an ocean-exposed area within a large mangrove forest ecosystem complex. The results of the analysis show that these two tracts are quite similar in terms of carbon stock and biodiversity even though they occupy different locations within the larger tract of mangrove habitat. The study confirms these are healthy forest areas with relatively high carbon stocks.
Rawa Singkil Wildlife Reserve plays an important role in protecting the environmental services. It contains, particularly as a protective balance of water systems and natural warehouses for carbon storage to mitigate the effects of global warming. However, the existence of Rawa Singkil Wildlife Reserve is disturbed by human activities without paying attention to the impact of natural balance. The research objective is to identify plant diversity and vegetation cover classification. This study was carried out using a rectangular path method for various stages including seedlings, saplings, poles, and trees. The results provide information on the condition of the vegetation structure and composition of various stages of tree growth. There are 25 types of vegetation found in Rawa Singkil Wildlife Reserve, which consists of three stages, namely saplings, poles, and trees. Based on the Importance Value Index analysis that Nyamplung (Calophyllum inophyllum) has the highest Importance Value Index, the highest Importance Value Index in the pole stage is Beras-Beras (Syzygium zeilanicum), and In the tree stage the highest index of importance was Ubar Susu (Glutta renghas) and Pucuk Merah (Syzigium myrtifolium).
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.