Optimising Depot Storage and Distribution Efficiency through Matching Gasoline Supply to Demand | Chapter 3 | Engineering Research: Perspectives on Recent Advances Vol. 11

 

The primary aim of the study is to optimise depot storage capacity and performance by aligning gasoline supply with distribution requirements. This study was conducted for one of the Nigerian National Petroleum Corporation (refiner) depots supplied by a multi-product (gasoline, diesel and kerosene) pipeline. The depot is supplied by a six-inch multi-product (gasoline, diesel and kerosene) pipeline at 82 m3/hour and loading/distribution of 100 m3/hour per arm inside the depot.

 

The Nigerian National Petroleum Corporation, a refiner, owns and operates a petroleum products pipeline network connected to its 21 storage depots across Nigeria. These storage depots are supplied by a multi-product (gasoline, diesel and kerosene) pipeline network. Since the early 1990s, as gasoline demand increased, the entire supply/distribution chain appeared inadequate. The primary aim of the study is to optimise depot storage capacity and performance by aligning gasoline supply with distribution requirements. This study was conducted for one of the Nigerian National Petroleum Corporation (refiner) depots supplied by a multi-product (gasoline, diesel and kerosene) pipeline. The depot is supplied by a six-inch multi-product (gasoline, diesel and kerosene) pipeline at 82 m3/hour and loading/distribution of 100 m3/hour per arm inside the depot. Distribution/loading facility designed for two arms each for gasoline, kerosene and diesel (or 33.33% for each product), whereas gasoline storage capacity is 55%, diesel, 33%, kerosene 11%, and slops, 1% of the total depot capacity. The design supply to distribution chain capacity ratio showed a mismatch, which in actual operation becomes 2:1. The above design created a ullage problem at sustained supplies, gross under-utilisation of supply chain infrastructures and poor operational performance. After a technical evaluation, a section of the depot storage to loading pipeline network was re-designed and modified to enable product supply capacity to match loading, and minimise storage. Hence, the gasoline loading became 66.67%, kerosene and diesel, each of 16.67%, increasing the actual supply to distribution chain capacity ratio from 2:1 to 2:2 (and when required, can be maximised to 2:3), thereby correcting the apparent mismatch between the supply and distribution chain capacities. Findings showed significant improvement in pipeline transportation scheduling, depot stock and overall product distribution. The modification has enabled the refiner to increase depot and upstream supply chain utilisation.

 

 

Author(s) Details

Eric Obiora Okeke
Nigerian National Petroleum Corporation, PMB 5373, Port Harcourt, Nigeria.

 

Please see the book here :- https://doi.org/10.9734/bpi/erpra/v11/6218

Meiofaunal Distribution on Coral Reefs of Pangkajene Islands, South Sulawesi, Indonesia |Chapter 1 | Research Perspective on Biological Science Vol. 7

 

This study investigates the composition and spatial distribution of meiofauna within the shallow coral reef ecosystem of the Pangkajene Islands, South Sulawesi, Indonesia. Samples were collected from 19 sites at depths of 6 to 8 meters, which showed stable oceanographic conditions but significant variation in live coral cover, ranging from 10.27% to 78.47%. A total of 13 meiofaunal taxa were identified from the sediment samples, with Nematoda being the most dominant group, making up more than 50% of the total population recorded. Other frequently present taxa included Harpacticoida, Polychaeta, Turbellaria, Foraminifera, and Nauplii. Meiofaunal density varied widely across the sites, from as low as 123 individuals per 10 cm² to as high as 5,235 individuals per 10 cm², with an overall average of 1,037±1,145 individuals per 10 cm². Multivariate analyses, including cluster analysis and non-metric multidimensional scaling (nMDS), identified three distinct station groups, indicating a high level of spatial variation in environmental conditions. Although habitat complexity from live coral structures is a key ecological factor, the study found no direct link between meiofaunal density and live coral cover. Instead, sediment properties such as grain size and organic matter availability had a more substantial influence on meiofaunal distribution. Stations with fine sand sediments generally supported higher meiofaunal abundance. These findings emphasise the importance of benthic microhabitat conditions, especially sediment characteristics, in shaping meiofaunal community structure in coral reef ecosystems. The study also supports the potential of meiofauna as sensitive bioindicators for assessing the health of these habitats.

 

 

Author(s) Details

Susetiono
Research Centre for Oceanography, National Research and Innovation Agency (BRIN), Indonesia.

 

H.A.W. Cappenberg
Research Centre for Oceanography, National Research and Innovation Agency (BRIN), Indonesia.

 

J. Souhoka
Research Centre for Oceanography, National Research and Innovation Agency (BRIN), Indonesia.

 

Endang S. Srimariana
Department of Marine Science and Technology, Faculty of Fisheries and Marine Sciences, IPB University Dramaga Bogor, Jawa Barat-166680, Indonesia.

 

E. Widyastuti
Research Centre for Oceanography, National Research and Innovation Agency (BRIN), Indonesia.

 

T. Sidabutar
Research Centre for Oceanography, National Research and Innovation Agency (BRIN), Indonesia.

 

Please see the book here :- https://doi.org/10.9734/bpi/rpbs/v7/6212

 

Coral Reef Distribution in Raja Ampat: A Study of Marine Conservation Areas in West Papua | Chapter 3 | Science and Technology - Recent Updates and Future Prospects Vol. 7

 

This study investigates the distribution and diversity of hard coral reefs in the Raja Ampat Regency Marine Conservation Area (MCA) in West Papua, home to numerous islands and diverse marine species. The data was collected using the UPT (Underwater Photo Transect) method. The researchers identified 108 hard coral species from 49 genera and 15 families. In 2015, hard coral cover (HC) ranged from 18.60% to 49.33%, averaging 32.24%. In 2019, HC coverage varied between 17.80% and 68.93%, an average of 37.84%, an increase of 5.59% from 2015. The distribution of hard corals varied between 26 and 51 species per station, with the family Acroporidae being the most diverse, with 34 species. Eleven other families had 2–14 species, while Helioporidae, Milleporidae, and Dendrophyllidae were each represented by one species with a limited distribution. Species such as Montipora sp., Porites lobata, Porites nigrecens, and Porites sp. were widespread and were found at nine stations, while 39 species had a limited distribution. Bray-Curtis similarity matrix dendrogram analysis showed similar coral types between transect stations. The diversity of coral reefs increases the complexity and fertility of the surrounding waters. However, threats such as destructive fishing, coral mining, tourism, and climate change are impacting these ecosystems, leading to algae dominance and reduced living coral cover. Understanding these dynamics is critical to implementing conservation strategies to protect coral reefs and prevent overfishing.

 

 

Author(s) Details

Jemmy Souhoka

Research Centre for Oceanography, National Research and Innovation Agency (BRIN), Indonesia.

H. A. W. Cappenberg

Research Centre for Oceanography, National Research and Innovation Agency (BRIN), Indonesia.

Susetiono

Research Centre for Oceanography, National Research and Innovation Agency (BRIN), Indonesia.

Nurjamin

Research Centre for Oceanography, National Research and Innovation Agency (BRIN), Indonesia.

I. H. Supriyadi

Research Centre for Oceanography, National Research and Innovation Agency (BRIN), Indonesia.

Suyarso

Research Centre for Oceanography, National Research and Innovation Agency (BRIN), Indonesia.

T. Sidabutar

Research Centre for Oceanography, National Research and Innovation Agency (BRIN), Indonesia.

 

Please see the link:- https://doi.org/10.9734/bpi/strufp/v7/1030

 

Caterpillar Fungus (Ophiocordyceps sinensis): Biology, Harvest and Trade |Chapter 8 | Current Advances in Plant Science, Molecular Biology and Health Sector

 

Ophiocordyceps sinensis, commonly known as Caterpillar fungus, is a medicinal fungus with significant nutritional and utilisation value. Ophiocordyceps belongs to the genus Ophiocordyceps under the family Ophiocordycipitaceae (Division: Ascomycota; Order: Hypocreales). The genus Ophiocordyceps was first scientifically described by British mycologist Tom Petch in 1931. It includes approximately 140 species that parasitise insects. It is the most expensive fungus in the world and is widely distributed in upper hilly regions of the Himalaya in China, Tibet, Nepal, Sikkim, Bhutan and India. This fungus is very important and widely used in China in Traditional Medicine. The dried club-shaped fruiting body with the larva has a great medicinal value, particularly in strengthening lungs and kidneys, as well as to increase energy and vitality. It is a peculiar insect pathogenic fungus with a larva of moths at the base and the fruiting body of the fungus at the top. The life cycle of this fungus is also very interesting. The wide use of this fungus in Traditional Chinese Medicine of China has made it the fungus as costliest of the world. The characteristics and medicinal importance of the fungus in general have been discussed before going to the study of caterpillar fungus. The morphology, life cycle, harvesting, medicinal importance, and trade of Caterpillar Fungus have been elaborated. The overharvesting of this Caterpillar fungus by collectors is affecting the ecosystem of the alpine regions of the Himalaya, leading to the threat of many endangered plant and animal species of that area. Therefore, the conservation of this rare fungus is necessary by regulating harvest and taking surveillance to check cross-border activity.

 

Author(s) Details

 

Professor Satyesh Chandra Roy
Department of Botany, Centre of Advanced Study for Cell and Chromosome Research, University of Calcutta, India.

 

Please see the book here: https://doi.org/10.9734/bpi/mono/978-81-989371-7-9/CH8

 

Deciphering Prime Number Distribution: Insights from Natural Numbers | Chapter 8 | Mathematics and Computer Science: Contemporary Developments Vol. 8

In this paper I present the distribution of prime numbers which was treated in many researches by studying the function of Riemann; because it has a remarkable property; its non trivial zeros are prime numbers; but in this work I will show that we can find the distribution of prime numbers on remaining in natural numbers only.

 

Author (s) Details

 

Ouannas Moussa
Engineer in Forestry, University of Batna, Algeria.

 

Please see the book here:- https://doi.org/10.9734/bpi/mcscd/v8/678

Simulation of Favourable Habitats and Potential Spread for Non-gregarious Locust Pests for Preventive Measures in North Kazakhstan Based on Satellite Data | Chapter 8 | Innovations in Biological Science Vol. 6

Predictive simulation of the geographical distribution of the studied object has become an important tool in agroecology, since it uses the previous information about the spatial distribution of species in the ecosystem, limiting predictive models to the nearest ecological niche, thus generating a forecast of possible areas of occurrence based on environmental conditions that are similar to the identified populated area. The paper considers the approaches and possibilities of using two types of simulation: the species distribution model and the ecological niche model. The study aimed to simulate favorable habitats and the potential spread of nongregarious locust pests in North Kazakhstan based on satellite and ground data for preventive measures. Four regions of North Kazakhstan were selected and covered as the research area, namely, the Akmola, Pavlodar, Kostanay, and North Kazakhstan regions and the analyses were carried out for the period 1999–2021. The MaxEnt software was used to conduct the simulation. According to the species distribution model, high indicators of the habitat are predicted in the Pavlodar and Kostanay regions, on 69.9–100% of the studied territory. With the simulation of ecological niches for non-gregarious locust pests, the following class boundaries were determined for the transition from quantitative to qualitative indicators from I (85–100%) to IV (0–50%), which indicates the zones of the probability of pest attack from a higher indicator to a lower one. According to the fundamental model, high indicators of the area of pest occurrence, that is, zones I and II, are located in the central and northern parts of the Pavlodar region. Here, the probability of non-gregarious locust occurrence of zones I and II with a ratio of 1:1 is observed in a slightly arid, moderately warm agroclimatic zone. In the southern part of the Kostanay region, the simulation predicts the probability of occurrence in zones I and II with a ratio of 1:2 in the moderately arid warm agroclimatic zone of this region. In the southern and southeastern parts of the Akmola region, the model predicts the probability of occurrence in zones I and II with a ratio of 1:3 in a slightly humid, moderately warm agroclimatic zone of the region. These results of studies on the simulation of favorable habitats and the potential spread of nongregarious locust pests may allow prioritizing the areas for risk assessment, monitoring, and early warning measures for the development and spread of pests. The considered species distribution model can be used as a modern tool for long-term forecasting of the spread of nongregarious locust pests since it takes into account the peculiarities of the agricultural landscape. The fundamental niche model can be used in a long-term population forecast since it focuses more on the theoretical conditions of pest habitats. In the future, similar studies can be conducted throughout Kazakhstan to obtain a complete digital map of preferred locations for the spread of non-gregarious locust pests to adequately plan plant protection products.

Author(s) Details:

Kurmet Baibussenov,
S. Seifullin Kazakh Agro Technical University, 62 Zhenis Ave., 010011, Nur-Sultan, Republic of Kazakhstan.

Aigul Bekbayeva,
S. Seifullin Kazakh Agro Technical University, 62 Zhenis Ave., 010011, Nur-Sultan, Republic of Kazakhstan.

Valery Azhbenov,
Zh. Zhyembaev Kazakh Scientific Research Institute of Plant Protection and Quarantine, 1 Kultobe Str., 050000, Almaty, Republic of Kazakhstan.

Please see the link here: https://stm.bookpi.org/IBS-V6/article/view/14981 

Analysis Vegetation of Taxus sumatrana (Miquel) de Laubenfels in Kerinci Seblat National Park | Chapter 6 | Advanced Research in Biological Science Vol. 8

 CITES categorize plants in genus Taxus, one of which is Sumatran’s yew (Taxus sumatrana) as a plant in Appendix II, the conservation status of this genus according to IUCN Red list species is still in least concern category. However, in Kerinci Seblat National Park (KSNP) the spatial distribution and structure of this species is still unkown, therefore this study to do. Aims studied with nested plot methods size 20x20m in 85 plot purposive random sampling in three line transect by parameter was T. sumatrana invited. This research uses GPS (Global Positioning System), phi-band, software ArcGis 10.2. The primary data which was gathered including the location coordinat of T. sumatrana distribution as the spatial side pattern, and vegetation structure the Taxus’s. The result obtained that there are 234 T. sumatrana with 11 seedlings, 13 saplings, 33 poles, and 177 tress in Mount Kerinci. The most number of T. sumatrana was found in Mid-Montane Forest (1,900-2,400 meter above sea level). Diversity of T sumatrana 32 trees/ha with IVI  67.86% and 34 poles/ha with IVI 24.60%.

Author(s) Details:

Zulmardi,
Fakultas Kehutanan, Universitas Muhammadiyah Sumatera Barat, Indonesia.

Dedi,
Fakultas Kehutanan, Universitas Muhammadiyah Sumatera Barat, Indonesia.

Teguh Haria Aditia Putra,
Fakultas Kehutanan, Universitas Muhammadiyah Sumatera Barat, Indonesia.

Please see the link here: https://stm.bookpi.org/ARBS-V8/article/view/13291

A Theoretical Analysis of the Economics of Efficiency, Bargaining and Welfare Distribution | Chapter 1 | An Overview on Business, Management and Economics Research Vol. 8

This chapter develops a joint analysis of efficiency and distributional issues in an economy in general equilibrium with a focus on bargaining under bounded rationality. We propose evolutionary schemes representing bargaining, where each step of the bargaining process identifies who is willing to make a concession depending on the relative perceived cost of bargaining failure. Our analysis relies on evolutionary strategies based on the Nash-Harsanyi bargaining model, but we go beyond the Nash-Harsanyi model by generalizing it with ordinal preferences as well as allowing for inefficient bargaining agreements. We show that our evolutionary schemes converge to bargaining agreements under general conditions. The analysis covers the case where the bargaining agreement is inefficient as well as the case where the bargaining process converges to an efficient allocation located on the Pareto utility frontier. We show that the outcome of the bargaining process can be represented by the simple maximization of a “generalized Nash product.” We explore the implications of bargaining agreements for income distribution. Finally, we discuss our model’s insights in analyzing the performance of an economy, emphasizing the roles of preferences, decentralization, and public goods. In the presence of strong linkages between threat points and welfare distribution, the design and implementation of conflict resolution mechanisms need further investigations.

Author(s) Details:

Jean-Paul Chavas,
Department of Agricultural and Applied Economics, University of Wisconsin, Madison, USA.

Mingcong Pan,
Department of Agricultural and Applied Economics and Department of Political Science, University of Wisconsin, Madison, USA.

Please see the link here: https://stm.bookpi.org/AOBMER-V8/article/view/13103

Biodiversity and Distribution of Squat Lobster of the Family Munididae Ahyong, Baba, Macpherson & Poore, 2010 (Crustacea: Decapoda: Anomura: Galatheoidea) in Some Areas in Indonesia | Chapter 3 | Advanced Research in Biological Science Vol. 6

This paper determines to review the presence of squat lobster from the classification Munididae and their distribution in Indonesian waters. Squat invertebrate of the family Munididae were recorded from Indonesian waters accompanying 15 genera and 72 variety. It counts 15.6% of the world species. Most of the squats invertebrate in Indonesia were obtained from worldwide expeditions conducted since 1873 to ultimate recent in 2018. These squat invertebrate live in shallow to deep waters. In Indonesian waters, they were about the Sunda Strait, Hindian Sea, Java Sea, Makasar Difficulty, Sulawesi Sea, Maluku Surf, Seram Sea, Banda Sea and Arafura Surf.

Author(s) Details:

Ernawati Widyastuti,
Research Center for Oceanography, National Research and Innovation Agency, Jl. Pasir Putih 1, Ancol Timur, Jakarta, Utara, Indonesia.

Suyarso,
Research Center for Oceanography, National Research and Innovation Agency, Jl. Pasir Putih 1, Ancol Timur, Jakarta, Utara, Indonesia.

Please see the link here: https://stm.bookpi.org/ARBS-V6/article/view/12802

Distribution, Biology and Damage Potential of Suidasia nesbitti Hughes in Stored Grains | Chapter 6 | Research Highlights in Agricultural Sciences Vol. 1

 

 Suidasia nesbitti is a put away grain bug that feeds on proteins, carbs, fats, and nutrients, with an inclination for high protein and fat substance. Asia, Africa, Australia, Europe, North America, the West Indies, and the United Kingdom have all revealed it. It benefits from different mixtures tracked down in grains, flour, straw, feed, brewer's yeast, cheddar, dried fish and natural product. They favor flour and broken structure since it gives more surface region to the S. nesbitti populace to prosper on. Under antagonistic circumstances, bug go through non taking care of stage, deutonymph, otherwise called hypopus among protonymph and tritonymph. Parasite pervasion diminishes protein, absolute solvent sugar, non-lessening sugar, and starch content while expanding decreasing sugar content. Invasion of S. nesbitti makes germination misfortunes in put away items due its benefiting from germinal part of the grains. The motivation behind this audit is to gather all current data on S. nesbitti, including its event, food part inclinations, science, and capability in producing post-reap misfortunes, and to introduce it methodicallly under different subheads.

Author(s) Details:

Poonam Devi,
Department of Zoology & Aquaculture, CCS Haryana Agricultural University Hisar-125004, India.

Rachna Gulati,
Department of Zoology & Aquaculture, CCS Haryana Agricultural University Hisar-125004, India.

Please see the link here: https://stm.bookpi.org/RHAS-V1/article/view/7824  

Statistical Modelling and Epidemiological Assessment of COVID-19 Fatality in India | Chapter 08 | Emerging Trends in Disease and Health Research Vol. 3

 With successive waves of illnesses, the world was badly devastated by the continuous spread of alpha, beta, and delta SARS-CoV-2 VoC. On November 25, 2021, a new SARS-CoV-2 variation of concern (VoC), omicron, was reported, almost 23 months after the first case of COVID-19 was recorded and after an estimated 260 million infections and 5.2 million fatalities globally. India has reported 32 instances of Omicron variant as of December 10, 2021. As a result, in order to manage and control the present pandemic, it is critical to identify and evaluate the risk. The study highlights India's shocking and unparalleled COVID-19 mortality. Case Fatality Rate (CFR) is the most adaptive epidemiological measure for evaluating illness severity, and it is calculated using the Yoshikura technique. When the estimated CFR of 10 Indian states is compared to the general CFR calculation, Kerala is determined to have the lowest CFR of 0.40 percent, signifying the least severe sickness. In order to obtain the best-fitted model with the data, Weibull, Gamma, and Lognormal probability distributions are used to model mortality in India. The Gamma distribution is the best-fitting probability model, according to the research. The trend and forecasting pattern of mortality are studied using time-series modelling. The ARIMA model predicts an upward trend in death in the following days, and this foresight model aids administrative authorities and medical staff in making health-care service and infrastructure plans. For the foreseeable future, public health initiatives including immunisation as a preventative method will be beneficial.

Author(S) Details

K. K. Jose
Department of Biostatistics, St. Thomas College, Palai, Kerala, India and School of Mathematics & Statistics, M. G. University, Kottayam, India

Liji Anna Varghese
Department of Biostatistics, St. Thomas College, Palai, Kerala, India and Sree Mookambika Institute of Medical Sciences, Kanyakumari, Tamil Nadu, India.

Vivek S. Nair
Department of Biostatistics, St. Thomas College, Palai, Kerala, India and Eurofins Advinus, Bangalore, India.

Jilby C. Jose
Department of Biostatistics, St. Thomas College, Palai, Kerala, India and  Inductive Quotient Analytics Pvt. Ltd., Hyderabad, India.

View Book:- https://stm.bookpi.org/ETDHR-V3/article/view/5879

Estimation of the Wild Boar Population in Southern Italian Apennines by Pellet Count Group Technic: A Preliminary Study | Chapter 05 | Emerging Challenges in Environment and Earth Science Vol. 2

 Today, the evolution of wild ungulates is one of the most significant developments in Italian wildlife over the previous few decades. Damage caused by wild boars has increased substantially in recent decades, amounting to hundreds of thousands of Euros annually in various European nations. Knowing the location, abundance, and population dynamics of wild boar (Sus scrofa) is critical for proper management, especially given its impact on the natural and agricultural ecosystem. This research presents a wild boar population estimate for a study area in the Italian Apennines' south / south-eastern region. Using GiS software and the Pellet Count Group technique, the census technique was planned through field inspections and cartographic elaborations. The Pellet Group's findings were recorded on customised field cards. 12 Pellets Group was discovered after crossing 7.010 linear metres and 14.020 m2. The existence of around 7/8 creatures per 100 ha was found using this information and knowing the extent of each given habitat. These densities, calculated based on the number of hectares in each investigated habitat, imply the presence of 187 to 164 animals. Given that the ideal density for the study region would be around 47 animals per 100 ha, the actual density exceeds these values by a large margin. As a result, the Park's population should be lowered by establishing a true census plan based on various sorts of censuses conducted over multiple years.

Author(S) Details

Di Brita Aldo
Department of Agriculture, Environment and Feeds, Molise University, 86100 Campobasso (I), Italy.

Miraglia Nicoletta
Department of Agriculture, Environment and Feeds, Molise University, 86100 Campobasso (I), Italy.

View Book:- https://stm.bookpi.org/ECEES-V2/article/view/5734

Studies of Mistletoe Presence on Five Tree Species of Samaru Area, Nigeria | Chapter 7 | Recent Progress in Plant and Soil Research Vol. 1

 Mistletoe infestations on trees require immediate attention because they reduce the vigor of tree growth and reproduction. There are few or no records on the type of mistletoe species found parasitic on tree species in Samaru. The study aimed to determine the different species of mistletoe parasitic on Albizzia lebbeck, Citrus grandis, Khaya senegalensis, Terminalia mantaly, and Terminalia catappa within Samaru, Nigeria, in order to document and know the species richness of mistletoe within this region. Based on the presence of the studied species and mistletoe infection of the trees, the study site was divided into four sampling areas. The study found that A. lebbeck was infected by six different species of mistletoe from all sampling areas: Tapinanthus dodoneifolius, Tapinanthus globiferus, Globimetula braunii, Globimetula oreophila, Englerina lecardii, and Tapinanthus belvisii; C. grandis, T. catappa, and T. mantaly each had four different species found parasit A. lebbeck had the most mistletoe species found parasitic on it, while K. senegalensis had the fewest. The most common were G. braunii and T. globiferus. In the study area, common mistletoe species were found parasitic on all of the targeted host trees, whereas T. dodoneifolius was found parasitic only on A. lebbeck and T. catappa, and E. lecardii was found parasitic only on A. lebbeck and C. grandis. In conclusion, A. lebbeck was the most vulnerable to mistletoe attack in the study area, while G. braunii and T. globiferus were less host specific.

Author (S) Details

Tizhe Tari Dlama
Department of Botany, Adamawa State University, Mubi, Nigeria.

Prof. Alonge Samson Oluwagbemileke
Department of Botany, Adamawa State University, Mubi, Nigeria.

Aliyu Ramatu Enehezeyi
Department of Botany, Adamawa State University, Mubi, Nigeria.

View Book :- https://stm.bookpi.org/RPPSR-V1/article/view/1865

Advanced Study on Geographical Distribution and Incidence of Cassava Bacterial Blight (Manihot esculenta Crantz) Caused by Xanthomonas axonopodis pv. manihotis in Two Agro-ecological Zones of Côte d'Ivoire | Chapter 12 | Cutting-edge Research in Agricultural Sciences Vol. 4

 Context and objective: In Côte d'Ivoire, manioc (Manihot esculenta Crantz) is the second largest food crop after yam. It is cultivated for its starch-rich fleshy roots and for its mineral-rich leaves (calcium, phosphorus and iron). This crop, however, is subject to various biotic limitations, one of the most formidable of which is the bacterial blight caused by Xanthomonas axonopodis pv. It's Manihotis. No concrete research on this emerging disease has been performed in Côte d'Ivoire to reduce its effects on the yield of traditional and improved varieties of tuberous roots. The goal of this research is, on the one hand, to study the distribution of bacterial blight and, on the other hand, to evaluate the sensitivity of 8 varieties in two agro-ecological zones of Côte d'Ivoire through an epidemiological study.

Materials and Methods: Survey missions conducted in 2013 and 2014 helped to create a health map of the different cassava production zones, accompanied by an epidemiological analysis of the disease in two cassava production zones (Yamoussoukro and Ferkéssédougou) involving eight cassava varieties, of which four have been improved.
Results: The results showed that bacterial blight with an incidence ranging from 2.17-66.67 percent was observed in all agro-ecological zones . As for the epidemiological research, the two areas of study showed a contrast. In the dry season (December-March), the incidence of the disease was very mild, corresponding to the 7th to 10th months of this report. In addition, the rainy season led to the disease's extension. The most susceptible to the disease were Diarrassouba and Yacé (traditional varieties), and Bocou 1 (improved variety).
Conclusion: the local Akama and Dankwa varieties were less tolerant of the disease than the better Bocou variety 1. During the rainy season, the most serious bacterial attack occurred and resulted in mortality among the most susceptible varieties. The data suggest an interest in the use of conventional varieties of Akama and Dankwa and improved varieties of Yavo, Bocou 2 and Bocou 3 in the high-pressure areas of cassava bacterial blight. Before it spreads to all cassava cultivation zones in Côte d'Ivoire, a war against this disease must be envisaged.

Author (s) Details

Affery Arthur Martin
Laboratory of Plant Physiology, Department of Biosciences, University Félix Houphouët-Boigny of Cocody-Abidjan, 22 B.P. 582, 22 Abidjan, Côte d'Ivoire.

Abo Kouabenan
Laboratory of Plant Pathology and Plant Biology, Department of Training and Research in Agriculture and Animal Resources, Institute National Polytechnique Félix Houphouët-Boigny, B.P. 1313, Yamoussoukro, Côte d'Ivoire.

Tuo Seydou
Laboratory of Plant Physiology, Department of Biosciences, University Félix Houphouët-Boigny of Cocody-Abidjan, 22 B.P. 582, 22 Abidjan, Côte d'Ivoire.

Koné Daouda
Laboratory of Plant Physiology, Department of Biosciences, University Félix Houphouët-Boigny of Cocody-Abidjan, 22 B.P. 582, 22 Abidjan, Côte d'Ivoire.

View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/344