Effects of some meteorological variables on cassava production in Edo State, Nigeria via density estimation

Siloko, Israel Uzuazor; Ukhurebor, Kingsley Eghonghon; Siloko, Edith Akpevwe; Enoyoze, E.; Bobadoye, A.O.; Ishiekwene, CC; Uddin, O.O.; Nwankwo, Wilson

doi:10.1016/j.sciaf.2021.e00852

Cited by 18 publications

(15 citation statements)

References 14 publications

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“…In reality, yield will depend on how far into the growing season the field was infected and the rate of within-field disease spread (as well as many other factors, such as environmental stochasticity, the variety of cassava in question, availability of technology, planting density etc. [61][62][63]). The inclusion of time-dependent yield loss will favour clean seed use, as these fields will on average be infected later in the growing season than conventional fields.…”

Section: Plos Computational Biologymentioning

confidence: 99%

How growers make decisions impacts plant disease control

2022

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While the spread of plant disease depends strongly on biological factors driving transmission, it also has a human dimension. Disease control depends on decisions made by individual growers, who are in turn influenced by a broad range of factors. Despite this, human behaviour has rarely been included in plant epidemic models. Considering Cassava Brown Streak Disease, we model how the perceived increase in profit due to disease management influences participation in clean seed systems (CSS). Our models are rooted in game theory, with growers making strategic decisions based on the expected profitability of different control strategies. We find that both the information used by growers to assess profitability and the perception of economic and epidemiological parameters influence long-term participation in the CSS. Over-estimation of infection risk leads to lower participation in the CSS, as growers perceive that paying for the CSS will be futile. Additionally, even though good disease management can be achieved through the implementation of CSS, and a scenario where all controllers use the CSS is achievable when growers base their decision on the average of their entire strategy, CBSD is rarely eliminated from the system. These results are robust to stochastic and spatial effects. Our work highlights the importance of including human behaviour in plant disease models, but also the significance of how that behaviour is included.

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Section: Plos Computational Biologymentioning

confidence: 99%

How growers make decisions impacts plant disease control

2022

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Section: Discussionmentioning

confidence: 99%

How growers make decisions impacts plant disease control

Murray-Watson

Hamelin

Cunniffe

2021

Preprint

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While the spread of plant disease depends strongly on biological factors controlling transmission, epidemics clearly also have a human dimension. Disease control depends on decisions made by individual growers, who are in turn influenced by a broad range of factors. Despite this, human behaviour has rarely been included in plant epidemic models. Considering Cassava Brown Streak Disease, we model how the perceived benefit of disease control influences participation in clean seed systems (CSS). Our models are rooted in game theory, with growers making strategic decisions based on the expected profitability of different control strategies. We find that both the information used by growers to assess profitability and the perception of economic and epidemiological parameters influence long-term participation in the CSS. Over-estimation of infection risk leads to lower participation in the CSS, as growers perceive that paying for the CSS will be futile. Additionally, though the CSS can reduce the burden of disease, and allow a scenario in which all growers control, disease is not eliminated from the system. These results are robust to stochastic and spatial effects. Our work highlights the importance of including human behaviour in plant disease models, but also the significance of how that behaviour is included.

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“…Environmental effluences ensuing as a result of the annihilation of the aquatic, terrestrial, and atmospheric ecosystems by the fast and aggressive increase in industrial activities and the global population are critical to the existence of man and other living organisms as well as the sustenance of the ecosystem [1][2][3][4][5][6][7][8][9][10]. According to several research reports, these environmental effluences have extremely affected the quality of water due to the untreated wastes being disposed of, released, or discharged into the aquatic environments, mostly by industries via the production processes of textiles, paper, leather, petroleum, and paint, as well as metal plating, mining, and other industrial production processes [11,12], consequently, contributing immensely to climate change and global warming [13][14][15], health complications [16][17][18], food shortage (agricultural shortfall) [19][20][21], etc.…”

Section: Introductionmentioning

confidence: 99%

Adsorption of methylene blue (MB) dye on ozone, purified and sonicated sawdust biochars

Eldeeb

Aigbe

Ukhurebor

et al. 2022

Biomass Conv. Bioref.

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The synthesized biochars derived from sawdust (SD) SD ozone (SDO) biochar, purified SD (PSD) biochar, and sonicated SD (SSD) biochar, which was employed in the confiscation of methylene blue (MB) dye ion, were characterized employing “Brunauer–Emmett–Teller (BET), scanning electron microscope (SEM), Fourier Transform Infrared (FTIR), and Thermal gravimetrical analysis (TGA).” The impact of various factors, such as pH, biochar dosage, and initial concentration, on MB dye sequestration, was tested in this study. It was found that the biosorption of MB dye to the various biochars was dependent on the solution pH, with optimum confiscation of MB observed at pH 12 for all biochars. Pseudo-second-order (PSO), Freundlich (FRH)- (SDO and SSD biochars), and Langmuir (LNR)- (PSD biochar) models were used to best describe the biosorption process of MB dye to various biochars. Based on the LNR model fitting to the experimental data, the optimum sorption capacities obtained using SDO, SSD, and PSD biochars were 200, 526, and 769 mg/g, respectively. Electrostatic interaction and hydrogen bonding played an important role in the interaction mechanism between the various biochars and MB dye. Hence, these studied SDO, PSD, and SSD biochars prepared from cheap, easily accessible, biodegradable, and non-hazardous agro-waste materials can be effectively used for the removal, treatment, and management of MB dye as well as other industrial effluents before their disposal into the environment.

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Effects of some meteorological variables on cassava production in Edo State, Nigeria via density estimation

Cited by 18 publications

References 14 publications

How growers make decisions impacts plant disease control

How growers make decisions impacts plant disease control

How growers make decisions impacts plant disease control

Adsorption of methylene blue (MB) dye on ozone, purified and sonicated sawdust biochars

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