scholarly journals Review: Floral resources diversity and vegetation types important for honeybees in Ethiopia

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Admassu Addi ◽  
Tura Bareke

Abstract. Addi A, Bareke T. 2019. Review: Floral resources diversity and vegetation types important for honeybees in Ethiopia. Asian J For 3: 64-68. The high biodiversity of Ethiopia is attributed to its wide range of altitude and great geo-morphological diversity. This has resulted in the existence of a high diversity of floral resources of which majority of them are visited by honeybees. This paper aimed to review existing studies on bee floral resources in Ethiopia to understand the types of bee plants, floral diversity, flowering period and food source offered by the plants. Over 1500 species of indigenous and exotic plants belonging to 105 bee plant families have been identified. The growth form of bee forage comprises 41.6% herb, 28.7% shrubs, 21.7% trees, and 8% climbers. The majority of bee plant species flower from September to November and April to May, resulting in two major honey flow periods in the country. From this information, Ethiopia has rich bee forage diversity across different vegetation types, however, further collection and documentation of bee flora are required in unaddressed areas of the country. Thus in situ conservation by ecological restoration, and raising and planting of seedlings of bee forages should be promoted for sustainable honey production.

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Admassu Addi ◽  
Tura Bareke

Abstract. Addi A, Bareke T. 2019. Review: Floral resources diversity of honeybees in important types of vegetation of Ethiopia. Asian J For 3: 64-68. The high biodiversity of Ethiopia is attributed to its wide ranges of altitude and great geo-morphological diversity. This has resulted in the existence of the region has diverse floral resources of which majority of them are honeybee flora. In this paper bee resources identification and reviewing bee forages were made to determine types of bee plants, floral diversity, flowering period and food source offered by the plants. Moreover, pollen analysis of honey from different regions of Ethiopia was analyzed for determination of major and minor honey source plants. Accordingly, over 1500 species of indigenous and exotic of plants belongs to 105 bee plant families were identified. The growth form analysis of bee forage comprising 41.6% herb, 28.7% shrubs, 21.7% trees, and 8% climbers. The majority of bee plant species flowered from September to November and April to May resulting in two major honey flow periods in the country. Melissopalynological analysis of the honey samples indicated that Schefflera abyssinica, Croton macrostachyus, Syzygium guineense, Vernonia amygdalina and Coffea arabica contributed for 80%, 64%, 86%, 77% and 75% of the total pollen count respectively from southwest and southeastern part of the country while Becium grandiflorum, Hypoestes forskaolii, Leucas abyssinica and Acacia spp. an accounting for 71%, 75.1%, 62%, and 70.5%, respectively from northern Ethiopia. On the other hand, Eucalyptus globulus and Guizotia scabra honey were from central Ethiopia, contributing to 94% of the pollen frequency. From this information, Ethiopia has rich bee forage diversity different vegetation types however, further collection and documentation of bee flora are required in unaddressed areas of the country. Thus in situ conservation, by ecological restoration, and raising and planting of seedlings of bee forages should be promoted for sustainable honey production.


2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Tura Bareke ◽  
Admassu Addi

Abstract. Bareke T, Addi A. 2019. Bee flora resources and honey production calendar of Gera Forest in Ethiopia. Asian J For 3: 69-74. Gera forest contains substantial coverage of natural forest and known as a Key Biodiversity Hotspot area for Coffea arabica conservation and one of the potential areas for beekeeping. The study was carried out to assess the bee flora and flowering calendar to harvest more honey following the flowering plant cycle. Semi-structured questionnaires, participatory Rural Appraisal (PRA) techniques, and field observation were used for data collection. Honey samples collection was also made to identify the botanical origin of honey through honey pollen analysis. Seventy-four bee plant species were identified, which belongs to 41 families. Among the identified plant families, Asteraceae (29.3%), Lamiaceae (14.6%), Acanthaceae (12.2%), and Fabaceae (9.8%) are the most frequent families, represented by the highest species composition in the area. Four major honey harvesting durations were identified (January, March, April, and early June for Vernonia, Coffee, Schefflera, and Croton honey respectively) using the flowering calendar in Gera Forest. The pollen analysis of honey revealed that four types of monofloral honeys were identified comprising Schefflera abyssinica, Vernonia amygdalina, C. arabica and Croton macrostachyus in Gera forest. This is due to their abundance and potentiality for honey production. Therefore, the beekeepers should follow the flowering calendar of the plant to exploit the potential of the forest for honey production. Furthermore, market promotion for monofloral honeys of the Gera forest should be made as an incentive for the beekeepers to sell honey with premium prices and branding and labeling of honey of the area


2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Lucas Cutri ◽  
Marcelo Carnier Dornelas

The genusPassifloraprovides a remarkable example of floral complexity and diversity. The extreme variation ofPassifloraflower morphologies allowed a wide range of interactions with pollinators to evolve. We used the analysis of expressed sequence tags (ESTs) as an approach for the characterization of genes expressed duringPassiflorareproductive development. Analyzing thePassiflorafloral EST database (named PASSIOMA), we found sequences showing significant sequence similarity to genes known to be involved in reproductive development such as MADS-box genes. Some of these sequences were studied using RT-PCR andin situhybridization confirming their expression duringPassifloraflower development. The detection of these novel sequences can contribute to the development of EST-based markers for important agronomic traits as well as to the establishment of genomic tools to study the naturally occurring floral diversity amongPassifloraspecies.


Author(s):  
W. E. King

A side-entry type, helium-temperature specimen stage that has the capability of in-situ electrical-resistivity measurements has been designed and developed for use in the AEI-EM7 1200-kV electron microscope at Argonne National Laboratory. The electrical-resistivity measurements complement the high-voltage electron microscope (HVEM) to yield a unique opportunity to investigate defect production in metals by electron irradiation over a wide range of defect concentrations.A flow cryostat that uses helium gas as a coolant is employed to attain and maintain any specified temperature between 10 and 300 K. The helium gas coolant eliminates the vibrations that arise from boiling liquid helium and the temperature instabilities due to alternating heat-transfer mechanisms in the two-phase temperature regime (4.215 K). Figure 1 shows a schematic view of the liquid/gaseous helium transfer system. A liquid-gas mixture can be used for fast cooldown. The cold tip of the transfer tube is inserted coincident with the tilt axis of the specimen stage, and the end of the coolant flow tube is positioned without contact within the heat exchanger of the copper specimen block (Fig. 2).


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Elly Lestari Rustiati ◽  
Priyambodo Priyambodo ◽  
Yanti Yulianti ◽  
Eko Agus Srihanto ◽  
Dian Neli Pratiwi ◽  
...  

Way Kambas National Park (WKNP) is home of five protected big mammals including sumatran elephants.  It shares its border with 22 of 37 villages surrounding the national park.  Understanding their existence in the wild is a priority, and  wildlife genetics is a crucially needed. Besides poaching and habitat fragmentation, wildlife-human conflict is one big issue.  Elephant Training Center (ETC) in WKNP is built for semi in-situ conservation effort on captive sumatran elephants that mainly have conflict histories with local people.  Participative observation and bio-molecular analysis were conducted to learn the importance of captive Sumatran elephant for conservation effort.  Through captive sumatran elephants, database and applicable methods are expected to be developed supporting the conservation of their population in the wild.  Participative observation and molecular identification was carried on captive sumatran elephants in ETC, WKNP under multiple year Terapan grant of Ministry of Research and Technology Higher Education, Indonesia. Gene sequence and cytological analyses showed that the captive sumatran elephants are closely related and tend to be domesticated.  Translocation among ETC to avoid inbreeding, and maintaining the captive sumatran elephant as natural as possible are highly recommended. Developing genetic database can be a reference for both captive and wild sumatran elephants.


2013 ◽  
Vol 16 (1) ◽  
pp. 59-67

<p>The Soil Science Institute of Thessaloniki produces new digitized Soil Maps that provide a useful electronic database for the spatial representation of the soil variation within a region, based on in situ soil sampling, laboratory analyses, GIS techniques and plant nutrition mathematical models, coupled with the local land cadastre. The novelty of these studies is that local agronomists have immediate access to a wide range of soil information by clicking on a field parcel shown in this digital interface and, therefore, can suggest an appropriate treatment (e.g. liming, manure incorporation, desalination, application of proper type and quantity of fertilizer) depending on the field conditions and cultivated crops. A specific case study is presented in the current work with regards to the construction of the digitized Soil Map of the regional unit of Kastoria. The potential of this map can easily be realized by the fact that the mapping of the physicochemical properties of the soils in this region provided delineation zones for differential fertilization management. An experiment was also conducted using remote sensing techniques for the enhancement of the fertilization advisory software database, which is a component of the digitized map, and the optimization of nitrogen management in agricultural areas.</p>


2020 ◽  
Vol 24 (8) ◽  
pp. 900-908
Author(s):  
Ram Naresh Yadav ◽  
Amrendra K Singh ◽  
Bimal Banik

Numerous O (oxa)- and S (thia)-glycosyl esters and their analogous glycosyl acids have been accomplished through stereoselective glycosylation of various peracetylated bromo sugar with benzyl glycolate using InBr3 as a glycosyl promotor followed by in situ hydrogenolysis of resulting glycosyl ester. A tandem glycosylating and hydrogenolytic activity of InBr3 has been successfully investigated in a one-pot procedure. The resulting synthetically valuable and virtually unexplored class of β-CMGL (glycosyl acids) could serve as an excellent potential chiral auxiliary in the asymmetric synthesis of a wide range of enantiomerically pure medicinally prevalent β-lactams and other bioactive molecules of diverse medicinal interest.


2013 ◽  
Vol 357-360 ◽  
pp. 2118-2121
Author(s):  
Ling Li Jia ◽  
Heng Cui

In the process of land consolidation in Chengdu Plain, Linpan protection is an important content. At present, some protection types of Linpan have been formed in Chengdu area, such as agriculture, rural tourism, special industry and settlement type and so on. Many protected modes were explored, such as the natural subsidies, in situ conservation, comprehensive development, off-site reconstruction, etc. But there are still some questions, do not pay attention to protect Linpan ecological pattern plate function transformation, the architectural style of hybrid, protection methods are not flexible, evaluation standard is not perfect, the public participation is not enough and other issues, these problems need to be continuously optimized and improved in the future.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1031
Author(s):  
Joseba Gorospe ◽  
Rubén Mulero ◽  
Olatz Arbelaitz ◽  
Javier Muguerza ◽  
Miguel Ángel Antón

Deep learning techniques are being increasingly used in the scientific community as a consequence of the high computational capacity of current systems and the increase in the amount of data available as a result of the digitalisation of society in general and the industrial world in particular. In addition, the immersion of the field of edge computing, which focuses on integrating artificial intelligence as close as possible to the client, makes it possible to implement systems that act in real time without the need to transfer all of the data to centralised servers. The combination of these two concepts can lead to systems with the capacity to make correct decisions and act based on them immediately and in situ. Despite this, the low capacity of embedded systems greatly hinders this integration, so the possibility of being able to integrate them into a wide range of micro-controllers can be a great advantage. This paper contributes with the generation of an environment based on Mbed OS and TensorFlow Lite to be embedded in any general purpose embedded system, allowing the introduction of deep learning architectures. The experiments herein prove that the proposed system is competitive if compared to other commercial systems.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Sungmin O. ◽  
Rene Orth

AbstractWhile soil moisture information is essential for a wide range of hydrologic and climate applications, spatially-continuous soil moisture data is only available from satellite observations or model simulations. Here we present a global, long-term dataset of soil moisture derived through machine learning trained with in-situ measurements, SoMo.ml. We train a Long Short-Term Memory (LSTM) model to extrapolate daily soil moisture dynamics in space and in time, based on in-situ data collected from more than 1,000 stations across the globe. SoMo.ml provides multi-layer soil moisture data (0–10 cm, 10–30 cm, and 30–50 cm) at 0.25° spatial and daily temporal resolution over the period 2000–2019. The performance of the resulting dataset is evaluated through cross validation and inter-comparison with existing soil moisture datasets. SoMo.ml performs especially well in terms of temporal dynamics, making it particularly useful for applications requiring time-varying soil moisture, such as anomaly detection and memory analyses. SoMo.ml complements the existing suite of modelled and satellite-based datasets given its distinct derivation, to support large-scale hydrological, meteorological, and ecological analyses.


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