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ISSN No. 2454-6194 | DOI: 10.51584/IJRIAS |Volume X Issue X October 2025
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Socio-Economic Characterisation of Maize Farmers, Profitability,and
Yield Performance of Maize under Integrated Nutrient Management
in Two Agro-Ecological Zones of Ghana
Emmanuel Baah
1*
, Harrison Kwame Dapaah
1
, Margaret E. Essilfie
1
, Ebenezer Kwasi Ntiri
2
1
Department of Crop and Soil Sciences Education, Akenten Appiah-Menka University of Skills Training
& Entrepreneurial Development, Ghana
2
Department of Horticulture, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
DOI: https://doi.org/10.51584/IJRIAS.2025.10100000160
Received: 25 October 2025; Accepted: 01 November 2025; Published: 18 November 2025
ABSTRACT
The study combined a socio-economic survey with multi-season field trials to assess the socio-economic
characteristics, yield, and profitability performance of maize under Integrated Nutrient Management (INM) in
two Agro-ecological zones of Ghana. The research survey was conducted between December 10, 2022, and
March 20, 2023, at the Mampong Municipal and the Ejura Sekyere District Assemblies in Ghana's Ashanti
Region. A purposive multi-stage sampling approach was employed to interview 50 maize farmers, while the field
experiment utilised a Randomised Complete Block Design (RCBD) with twelve treatments and four replications
during the 2023 major and minor cropping seasons at Fumesua (Kumasi) and Asante Mampong. The treatments
included Agro Charger, Agro Clean (296 mL per 148 L of water/ha each), poultry manure (10 t/ha), and NPK
(250 kg/ha), applied individually and in various combinations. Data were analysed using descriptive statistics,
gross margin (cost–return) analysis, and Analysis of Variance (ANOVA) in SAS. Socio-economic results showed
that 76% of the respondents were men and 24% were women, with a mean age of 49 years; 64% were married.
Education levels were generally low: 40% had no formal education, 34% had completed junior high school, 22%
had attained an O-level/SHS Education, and only 4% had reached tertiary education. Profitability analysis
indicated that maize production was economically viable across most treatments. Field trial results revealed
significant differences in yield between fertilized plots and the control plot. The combination of Poultry Manure
+ Agro Charger + Agro Clean (PM + A.CH + A.CL) achieved yields of 5.3-6.6 t/ha, compared to 1.6–3.0 t/ha in
the control, representing a potential yield increase of up to 120%. These findings suggest that integrating organic
and inorganic nutrient sources can substantially enhance maize productivity and should be recommended for
adoption by farmers in similar Agro-ecological zones.
INTRODUCTION
Maize (Zea mays L.) is a vital food crop worldwide, playing a key role in Ghana's food system as a source of
food, livestock feed, and feedstuff. Growing across all Agro-ecological zones, more than 80% of national
production occurs in the Forest-Savannah Transition zone (Neupane et al., 2022). Although Ghana has a national
food security and a consumption of 43.8 kg/head (Asante et al., 2017), the country has a national average yield
of 2.48 MT/ha, which is less than a third of the potential (7 to 8 MT/ha) (Poku et al., 2018). Jayne et al. (2016)
concluded that Agricultural economies with low levels of inorganic fertilizer use are characterized by low crop
yields, low rural incomes, and extreme poverty rates. Low yields and quality maize grains are associated with
inefficient utilization of nutrient (incomplete fertilizer absorption), coupled with high cost of inorganic fertilizers,
climate change i.e. unreliable rainfall, as well as leaching of nutrients from the soil has resulted in frequent crop
failures affecting farmers’ incomes, rendering them vulnerable to poverty, and worsen nationwide food insecurity
(Obour et al., 2020). Amanullah et al. (2016) stated that many researchers have concluded that nitrogen (N)
fertilizer application has significantly improved maize growth and yield. In Ghana, fertiliser application (22.6 kg
ha-1) is much lower than the 50 kg ha
-1
recommended by the Abuja Declaration (Bua et al., 2020). Additionally,
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high prices and dependence on expensive synthetic inorganic fertilisers, particularly Nitrogen Phosphorus-
Potassium (NPK), are making production too expensive and the overall profitability of smallholder farmers too
low (Amankwah et al., 2024; Ricker-Gilbert et al., 2024). To address these limitations, the use of integrated
nutrient management (INM) such as organic manure (Poultry Manure), inorganic fertilizer (NPK) and new
organic crop growth enhancers (nanoparticles) applied singly or in combination as sustainable alternatives in
reducing costs, environmental impact, and enhancing the efficiency with which nutrients are utilized for the
enhancement of crop yield (Bilong et al., 2022). However, the effectiveness of such combined strategies is not
limited to increased yield; it must be evaluated in economic terms, particularly for the smallholder farmers, the
industry is dominated by, and who are significantly under-resourced. It is crucial to comprehend the
socioeconomic demographics of these farmers, including their age, education, and gender, in order to develop
effective agricultural extension programs that promote the adoption of profitable technologies (Wahab et al.,
2020). The demographics of farmers also affect the adoption of profitable practices, with factors such as
educational backgrounds and ages perhaps leading to a lag in adopting new, more complex INM systems, a
phenomenon termed the Innovation Deficit. The existing gap is the lack of location-specific data that links the
effectiveness of the developed INM methods to comprehensive analyses of costs, benefits, and profitability
across the main areas of maize cultivation in Ghana. In view of this, the study aimed to assess the socio-economic
characterisation of maize farmers, as well as the profitability and yield performance of maize, as influenced by
integrated nutrient management in two agro-ecological zones of Ghana.
METHODOLOGY
Description Of Study Location and Period
This study combined a socio‐economic survey with field trials to assess the cost of maize production under
integrated nutrient management. The survey component was conducted in the Asante Mampong Municipal and
Ejura-Sekyedumase Districts of the Ashanti Region, Ghana, between December 10, 2022, and March 20, 2023,
collecting data on farmers’ demographics. The Field experiment was conducted in the transition zone between
the Forest and the Savannah Ecological Zones in the Ashanti Region of Ghana. The research took place at
Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development (AAMUSTED) in
Asante Mampong, as well as at the Council for Scientific and Industrial Research - Crop Research Institute
(CSIR-CRI) located in Fumesua. The experimental field at the AAMUSTED Faculty of Crops and Soil Science,
located in the Mampong Municipal area, was used. At the same time, the CSIR Crop Research Institute, owned
and operated by the Ghanaian government, is situated in the Kodie Municipal Assembly. This multi-location
study was conducted from March to July 2023, during the major growing season, and from September to
December 2023, during the minor growing season. The university is situated in a transitional zone between the
forest and savannah, with geographic coordinates of 07°08′N and 01°02′W, at an elevation of 456 meters above
sea level. This area experiences two distinct rainy seasons: the major rainy season typically runs from March to
July, while the minor rainy season is usually from September to November. Average daily temperatures range
from 21 to 23 °C at night to 31 °C during the day. The location receives an average annual rainfall of
approximately 1,094.2 mm (FAO, 1988; Asiamah et al., 2008). The soil at the experimental site is derived from
Voltaian sandstone found in the Afram Plains. It consists of deep, sandy soil free of pebbles and is classified as
Savannah ochrosol. The soil contains moderate amounts of organic matter and exhibits adequate drainage, with
a suitable water-holding capacity. According to the FAO/UNESCO classification (FAO, 1988; Asiamah et al.,
2008), it is classified as a Chromic Luvisol and locally referred to as the Bediase series. This type of soil is
particularly beneficial for cultivating cereals, legumes, and tuber crops. The soil pH ranges from 5.5 to 6.5.
Various crops, including maize, groundnuts, black-eyed peas, and soybeans, have been cultivated at the site. The
area is also dominated by grasses such as big grass (Cynodon plectostachus), guinea grass (Panicum maximum),
and nut grass (Cyperus rotundus). The CSIR-Crops Research Institute is situated in the semi-deciduous forest
zone, specifically at latitude 6°45′ 00.58″ N and longitude 1°31′ 51.28″ W. According to the World Reference
Base for Soil Resources Legend (FAO, 2015), the soil in Fumesua consists of ferric acrisol and ferric lixisol. The
surface soils in Fumesua are characterized by dark brown to brown fine sandy loam and greyish-brown sandy
loam (Adjei-Gyapong & Asiamah, 2000). This research site exhibits low soil fertility and limited moisture
retention. The rainy season is characterised by two distinct wet periods: a primary wet period from April to July
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and a secondary wet period from September to November, collectively defining its tropical climate. The average
temperature range for both minimum and maximum temperatures is from 21 to 32 °C. Both sites experience a
bimodal rainfall distribution of 1000–1800 mm yr⁻¹ and average daily temperatures of 25.5–30 °C, providing
complementary Agro‐ecological conditions for robust evaluation of maize growth, yield, and economic
outcomes.
Figure 1. Map of Ghana showing the geographic position of the research area
Population And Sampling Technique
The study employed a sequential mixed‐sampling approach that combined random selection at higher
administrative levels with purposive selection of the target population. First, all Ministry of Food and Agriculture
(MOFA) operational zones in the Mampong and Ejura-Sekyedumase Municipalities, chosen for their significant
roles in maize production, processing, and export, were listed. Four zones (Mampong, Kyiremfaso, Nkwanta,
and Ejura) were selected at random by folding each zone name onto a slip of paper, placing the slips into a
container, and selecting four slips. Second, within each of these zones, three communities were randomly selected
using the same paper-in-a-box method, yielding twelve communities (Old Daaman, Nkwanta, Bobin,
Abrukutuaso, Brengo Timber-Nkwanta, Kyiremfaso, Abuontem, Adweeho, Frante, New Daaman, and Yonso).
Third, extension-agent rosters from these communities identified 258 maize farmers who had exclusively used
the growth enhancers Agro Charger and Agro Clean. From this list, fifty farmers who met the usage criterion
were purposively selected for face-to-face interviews using a structured, closed-ended questionnaire. The
interviews were conducted between December 10, 2022, and March 20, 2023. This design ensured that the
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sample captured detailed experiences of actual product adopters, clarifying that the results speak to this specific
group rather than the entire farming population.
Methodology For Data Collection
A purposive sampling method was employed to select 50 farmers who exclusively used Agro Charger and Agro
Clean in their crop production. Before full rollout, the semi-structured questionnaire was pre-tested through
oneon-one interviews using an interview guide and checklist. When clarity issues arose or deeper insight was
required, small focus group discussions (comprising 5–7 farmers) were convened. Feedback focused on question
wording, response options, and cultural relevance. Revisions were made to ensure consistency and ease of
understanding. The survey instrument was structured into three modules, comprising 44 closed-ended items. The
first module comprises: Demographic Profile, which includes seven items on personal information and farm
location. The second module consists of Farm Data/Profile, which contains 14 items covering enterprise type,
farm size, crops grown, and management practices such as fertiliser, manure, and pest control. The final module
covers the use of Agro Charger and Agro Clean. This module included 23 items to evaluate farmers' awareness,
sourcing practices, application rates, yields obtained, and product effectiveness ratings. To assess the clarity and
cultural appropriateness of the questions, a pre-test was conducted with 10 local farmers in the Mampong
Municipal and Ejura-Sekyedumase Districts of the Ashanti Region, Ghana.
Data Analysis
Survey data from Study 1 were first cleaned and coded in Microsoft Excel, then exported to SPSS version 26 for
analysis. Internal consistency of the instrument was confirmed by Cronbach’s alpha coefficients exceeding 0.70.
All closed-ended questionnaire items were subjected to descriptive statistical analysis, including frequencies,
percentages, means, and standard deviations, to profile farmers’ knowledge and usage of organic growth
enhancers. Open-ended survey responses and semi-structured interview transcripts were analysed exclusively
through thematic coding, in which participant narratives were systematically categorised to identify recurring
themes and barriers to adoption. Economic data on production costs, gross profit, and net profit were analysed
using partial budgeting to calculate benefit-cost ratios, and trends in key variables were visualised in Excel.
Validity and Reliability
Table 1: Cronbach’s Alpha
Items
Cronbach’s Alpha
Number of Items
Usage Of Organic Crop Growth Enhancers (Agro Charger and
Agro Clean).
0.741
3
In this segment, the reliability and validity of the structures have been examined, along with their relevance.
Reliability and validity, as well as other issues that require special consideration from the researcher when
handling the data produced by the study (Baillie, 2015; Teusner, 2016). The internal validity of the measurement
used in the study was assessed using Cronbach's alpha, with a minimum acceptable level of 0.70. Findings from
that research indicate that Cronbach's Alpha for Usage of Organic Crop Growth Enhancers (Agro Charger and
Agro Clean) was 0.741 (Nunnally & Bernstein, 1994; George, Darren, & Mallery, 2016). The analysis revealed
that the alpha value for the Cronbach exceeded the threshold of 0.70, indicating that the construct is suitable for
the ongoing work (Hair et al., 2014; Pallant, 2020).
Ethical Considerations
In research, ethics is a set of moral principles that emphasise doing good and avoiding harm to people. (Creswell,
2014). Once the researcher explained the study's purpose to the respondents, they ensured that the data provided
would remain private. Before the research began, permission was obtained from the relevant authorities.
Regarding the confidentiality and privacy of the data provided, all participants received full assurances of
protection.
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Experimental Design and Treatment
The experimental design was organized as a Randomized Complete Block Design (RCBD), encompassing
twelve treatments (T1 T12) with four (4) replications at each experimental site. The study was conducted
concurrently at Mampong and Fumesua during both the 2023 major and minor cropping seasons at each location.
The replication consisted of twelve treatments: T1 = Agro Charger, T2 = Agro Clean, T3 = Agro Charger +Agro
Clean, T4 = NPK, T5 = NPK + Agro Charger, T6 = NPK + Agro Clean, T7 = NPK + Agro Charger + Agro Clean,
T8 = Poultry Manure, T9 = Poultry Manure +Agro Charger, T10 = Poultry Manure + Agro Clean, T11 = Poultry
Manure + Agro Charger +Agro Clean, T12 = Control. Each plot contained six rows, each with twelve plants, for
a total of seventy-two plants per plot. The treatments were randomly distributed across the plots. A plot size of
4.8 m wide × 5 m long was used. Using simple random sampling and random number generators, five plants
were randomly chosen and tagged within the harvestable area for data collection. The two central rows of the
harvestable area in each plot (treatment) were used for yield component analysis. The amendments were applied
at the following rates: Agro Charger (ACH) = 296 ml per 148 litres of water per hectare, Agro Clean (ACL) =
296 ml per 148 litres of water per hectare, NPK = 250 kg per hectare, and Poultry Manure (PM) = 10 tons per
hectare. The combined treatments were applied as follows: ACH + NPK = 148 ml per 74 litres of water per
hectare + 125 kg per hectare, and ACH + PM = 148 ml per 74 litres of water per hectare + 5 tons per hectare.
Certified maize seeds, Opeaburo (Hybrid, white), were obtained from CSIR-CRI research station at Fumesua,
Ghana, for planting. Opeaburo maize, a 105- to 110-day medium variety released by CSIR-CRI, and a High-
quality protein maize (QPM) variety contribute significantly to improved nutrition and well-being for humans,
poultry, and livestock. Often compared to other popular varieties in Ghana, it is recognised for its highyielding
potential.
Table 2 Types and Volume of Treatment used
AMENDMENT
APPLICATION RATE
Agro Charger (ACH)
296 ml per 148 L water/ha
Agro Clean (ACL)
296 ml per 148 L water/ha
ACH + ACL
296 ml per 148 L water/ha (of each)
NPK
250 kg/ha
NPK + ACH
125 kg/ha + 148 ml per 74 L water/ha
NPK + ACL
125 kg/ha + 148 ml per 74 L water/ha
NPK + ACH + ACL
125 kg/ha + 148 ml per 74 L water/ha + 148 ml per 74 L water/ha
Poultry Manure (PM)
10 t/ha
PM + ACH
5 t/ha + 148 ml per 74 L water/ha
PM + ACL
5 t/ha + 148 ml per 74 L water/ha
PM + ACH + ACL
5 t/ha + 148 ml per 74 L water/ha + 148 ml per 74 L water/ha
Control
0
ACL= Agro clean, ACH= Agro charger and PM= Poultry manure
Crop Management and Cultural
Land preparation, poultry manure application and planting. The field experiment site was demarcated, ploughed,
harrowed, lined, and pegged on 9th March 2023, during the major cropping season, and on 14th August 2023,
during the minor cropping season, respectively. The experiment field had a total of forty-eight (48) plots. Each
experimental plot measured 4.8 m in width by 5 m in length (24 m²). The field measured 57.6 m x 26 m, for a
total area of 1497.6 m
2
. There was a 0.5 m path left between plots and a 1 m gap left between blocks. Poultry
manure was applied to the plots according to the treatments for 2 weeks to decompose further. Opeaburo hybrid
maize seeds were sown at 5 cm and at a planting spacing of 80 cm x 40 cm. There were six rows per plot, with
24 plants in each row, totalling 144 plants per plot.
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Poultry manure preparation
Poultry manure was obtained from APOGEE Farms in Mampong and heaped under shade, covered with a
polythene sheet, for 30 days to facilitate further decomposition before incorporation into the soil.
Table 3: Chemical properties of poultry manure used for the study
TOTAL N (%)
P (%)
K (%)
Ca (%)
Mg (%)
Na (%)
OC (%)
pH
C: N
RATIO
POULTRY
MANURE
2.92
1.35
2.29
1.43
0.37
0.026
40.96
6.92
14.03
Source: KNUST – Soil Lab.
Planting Material
Opeaburo is a hybrid maize variety capable of yielding up to 8 tons per hectare, with a maturity period of 110 to
115 days. It features long, slender grains with a pleasant aroma and performs well across all growing seasons.
The variety exhibits early tasseling and silking relative to some other types and attains good plant height. For
maximum productivity, it requires proper spacing, a seed rate of 10 kg per acre (25 kg per hectare), and balanced
fertilization with compound and nitrogen fertilizers; urea is best applied by incorporating it into the soil. Seeds
were sown two per hill and thinned to one plant after two weeks. Agro Charger and Agro Clean were applied at
a rate of 296 ml per 148 L of water per hectare. For NPK alone, Yara Activa 23-10-5 fertilizer was applied at a
rate of 250 kg/ha (equivalent to 5 bags/ha). In combined treatments, Agro Charger and Agro Clean were applied
at the same rate, while Yara Activa was applied at a reduced rate of 125 kg/ha (equivalent to 2.47 bags/ha).
Weeding commenced at the same two-week mark, using a hoe for general weed removal, while hand-pulling
was employed in areas where weeds were near the plants. Additional weed control measures were taken 6 weeks
after planting through continued hoeing and hand-pulling.
To address pest and disease management, Warrior Super Insecticide, containing Emamectin benzoate as the
active ingredient, was mixed at a rate of 30 ml per 15 L of water. This equates to approximately 296.4 ml/ha
when using a total of 148.2 L of water. This formulation was applied to effectively control infestations of fall
armyworms, leaf cutters, ants, and stem borers. Typically, a high level of farm hygiene was upheld to achieve
optimal productivity. Surrounding the trials, alternate host plants were routinely removed.
Table 4: Initial chemical and physical properties of the soils
SOIL
EC
(µS/cm)
pH
AVAIL
P
%TO
TAL N
Exch. Bases (cmol/kg)
Exch.
Acidity
%
Org.
%
Org.
mg/kg
K
Ca
Mg
Na
Al
Carbon
Matter
MAMPONG
Major season
97
5.8
5.44
0.138
0.37
2.63
1.28
0.0560
0.246
0.251
1.746
3.009
MAMPONG
Minor season
451
5.4
5.85
0.134
0.58
2.21
1.72
0.0635
0.251
0.257
1.362
2.348
FUMESUA
Major season
568
6.37
7.83
0.163
1.95
6.40
1.50
0.0533
0.267
0.270
1.401
2.416
FUMESUA
Minor season
369
5.42
5.17
0.123
1.82
2.80
1.76
0.0533
0.265
0.270
1.398
2.410
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Data collected
Before land preparation, soil samples were randomly collected from the upper 30 cm of the soil and analysed for
their physicochemical and biological properties across both cropping seasons. A minimum of 20 soil samples
were collected for analysis. After conventional tillage to a depth of 15 cm and harrowing, the field was
demarcated into the designated experimental plots. The poultry manure displayed a slightly alkaline pH, elevated
levels of total nitrogen and potassium, and a high organic carbon content. However, it showed low concentrations
of total phosphorus, calcium, and magnesium. Table 4 illustrates the initial chemical and physical properties of
the soils at experimental locations during the major and minor seasons of 2023 at AAMUSTED AsantiMampong
and CSIR - CRI Fumesua, respectively. During the 2023 major season at AAMUSTED, the soil was moderately
acidic (pH 5.79), had moderate organic matter content (3.009), and low nitrogen levels (0.14) (London, 1991).
Similarly, during the main season at CSIR - CRI, the soil was slightly acidic (pH 6.37) with a moderate organic
matter content (2.42). For the 2023 minor season at AAMUSTED Asanti-Mampong, the soil was moderately
acidic (pH 5.35), had moderate organic matter content (2.35), and low total nitrogen levels (0.13). During the
minor season at CSIR, the soil pH was moderately acidic (5.42), with a moderate organic matter content (2.41%)
and low total nitrogen levels (0.12%). At experimental sites, for AAMUSTED AsantiMampong in both major
and minor seasons, the available phosphorus levels (5.44 and 5.85) were moderate, as were the levels of
exchangeable bases (calcium, magnesium, and sodium) and total potassium. At CSIR CRI Fumesua during both
the 2023 major and minor seasons, the exchangeable cations (calcium, magnesium, and sodium) showed similar
patterns, with moderate levels of calcium and magnesium for both seasons, and high potassium levels for both
seasons.
Tables 5, 6, and 7 present detailed information on the nanomaterial used in the research, including summaries of
crop growth enhancer data, ingredient composition, and the physical and chemical properties of Agro Charger
concentrates.
Agro Charger functions as a nutrient uptake enhancer rather than a fertilizer, as it contains plant-based ingredients
that improve the plant’s ability to absorb fertilizers and other essential nutrients more effectively. Agro Charger
concentrate is entirely biodegradable and unlikely to bioaccumulate. It is composed of naturally occurring
substances that are non-pathogenic, non-hazardous, and non-toxic, with no potential contribution to ozone
depletion, photochemical ozone formation, or global warming (Shukla, 2022).
Table 5: Summary information of crop growth enhancer
Product Name
Agro Charger Herbal Concentrate
Product Code
Agro Charger Herbal Concentrate
Family / Group
Crop Enhancer
Chemical Formula
Mixture
Other Designations
Liquid formulation containing a Nano blend made from organic extract
Source: Shukla (2022)
Table 4: Initial soil chemical and physical characteristics for Mampong and Fumesua in 2023
Components
Composition (%) W/W
Alkyl Polyglucoside extract of Sugar cane
20%
Alkyl Polyglucoside extract of Potato
5%
Alkyl Polyglucoside extract of coconut
26%
Alkyl Polyglucoside extract of Palm
16%
Alkyl Polyglucoside extract of Maize
30%
Alkyl Polyglucoside, Herbal extracts and tree saps
3%
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Non-Chlorinated Water
Q.s.
Source: Shukla (2022)
Table 6: Physical of Agro charger
Physical state
Liquid
1.
Colour
Amber to brown
2.
Odour
Mild, as per standards
3.
Miscibility
Soluble in water
4.
Stability
Stable at normal storage conditions
5.
Corrosion
Noncorrosive
6.
Flash Point
>220°C
7.
% Volatile volume
0%
8.
Vapour pressure
Not determined
9.
Boiling Point
>100°C
10.
Freezing Point
<0°C
Source: Shukla (2022)
Table 7: Chemical characteristics of the Agro charger used for the study.
% Total
N
% Org.
N
%Water-
Soluble
N
% Water
in soluble
N
% Urea
N
%
Ammonium
N
%
Nitrate
N
%Total
Org.
Carbon
%Total
Carbon
Agro
Charger
4.04
3.80
2.78
0
0.89
1.84
2.22
34.55
4.07
Source: Gujarat Lab (2018)
Table 8 presents detailed information on Agro Clean, outlining its ingredients and their respective proportions.
Agro Clean functions as an organic plant protector and stress regulator, specifically shielding plants from sucking
pests and fungal and bacterial infections that can cause harm. It is safe for beneficial organisms such as predators,
natural enemies, pollinators, and farmers, thereby protecting crops, people, and the environment.
Table 8: Summary information of Agro Clean used for the study
Ingredient
Botanical Name
Composition (100%)
Processed Coconut Extracts
Cocos nucifera
20%
Processed Corn Extracts
Zea mays
20%
Processed Extract of Sugarcane
Saccharum officinarum
26%
Water
19%
Citronella oil
Cynlcopogon
0.1%
Cinnamon oil
Cinnamomum verum
0.1%
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Cedar oil
Cedrus deodara
0.1%
Mint oil
Mentha piperita
0.1%
Spear Mint oil
Mentha arvensis
0.1%
Geranium oil
Gerranium wallichianum
0.1%
Water Lily oil
Nymphaea alba
0.1%
Karanja oil
Pongamia -pinnata
0.1%
Neem oil
Azadirachta indica
0.1%
Excipient
Qs 4%
Source: Shukla (2022)
Yield and Yield Components
100 Grains Weight
The weight of 100 randomly selected grains was taken from cobs.
Total Grain Yield (t/h)
Grain yield (t ha
-1
) was calculated from the weight of grain obtained by a given area covered. An electronic
balance was used to measure grain yield per plot, which was then converted to hectares after adjusting for a
12.5% moisture content.
Economic Benefits Analysis
The economic viability and profitability of the cropping systems were assessed using production costs, gross
profit, and net profit for each of the twelve (12) treatments. To calculate the economic advantages at both
experimental locations.
Production Cost, Gross Profit, and Net Profit
To assess the profitability of maize production at the CSIR-Crops Research Institute station in Fumesua and the
AAMUSTED College of Agriculture Education campus in Mampong, Ashanti, financial metrics such as
production cost, gross profit, and net profit were evaluated. Production cost encompasses all expenses incurred
to bring a crop to harvest. It is subdivided into variable (operating) costs and fixed (ownership) costs. Gross
profit is the difference between total revenue from sales and total variable production costs. The metric is
calculated as:
Gross Profit = Total Revenue Variable Costs
Net profit measures overall financial health by subtracting both variable and fixed costs from total revenue. A
positive net profit signals a sustainably profitable operation, while a negative net profit indicates a loss. The
formula is expressed as:
Net Profit = Total Revenue Total Production Cost
2.4 Statistical analysis
The collected field data were analysed using Analysis of Variance (ANOVA) in SAS Version 9. Statistically
significant mean differences were separated and compared using Tukey’s Honestly Significant Difference (HSD)
test at a 5% probability level.
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RESULTS AND DISCUSSION
Socio-Economic Characteristics of Maize Farmers
The socio-economic characteristics assessed in this study included the sex, age, marital status, education level,
principal occupation, and farm location of maize farmers. A summary of respondents’ distribution by these
characteristics is presented below. Of the 50 farmers interviewed, 38 (76%) were male and 12 (24%) were female,
indicating that maize farming in the study area is predominantly a male-dominated activity. This observation is
consistent with Adeagbo et al. (2021), who also reported male dominance in maize production. The lower female
participation suggests that women are more engaged in other parts of the maize value chain, such as weeding
and post-harvest handling, as noted by Philip and Itodo (2012). In terms of age, 46% of farmers were aged 30–
41, followed by 42% aged 42–60. These age groups represent Ghana’s economically active labour force (World
Bank Open Data, 2025), combining physical strength and substantial farming experience. Farmers within this
range are generally more productive and manage resources efficiently. However, Masi et al. (2022) observed that
younger farmers tend to adopt modern, climate-smart agricultural technologies more rapidly, suggesting a
potential generational gap in the adoption of these technologies.
Regarding marital status, 64% of respondents were married, 22% were single, 8% were divorced, and 6% were
widowed. The predominance of married farmers suggests a family-oriented farming structure that relies heavily
on family labour. In matrilineal societies, marriage often facilitates access to family land and strengthens
community support networks, which are essential for mobilizing labour and financial assistance during critical
farming periods (Bigombe & Khadiagala, 2004; Barker et al., 2022).
In terms of education, 40% of farmers had no formal education, 34% had completed primary or junior high
school, 22% had secondary education (O Level/SHS), and only 4% had tertiary education. Economic constraints
such as school fees, uniforms, and the opportunity cost of losing farm labour often compel families to withdraw
children from formal education after basic school (Mwamadi & Seiffert, 2012). In such contexts, informal
apprenticeships or on-farm work become more common, and the lack of parental education perpetuates low
academic aspirations. Cultural factors, such as early marriage and caregiving responsibilities, particularly among
girls, further reduce school attendance (Larsen, 2014; Akurugu, 2022). Regarding occupation, 96% of
respondents identified farming as their primary occupation, while only 4% were engaged in trading. This
highlights a strong dependence on agriculture and limited occupational diversity. As Gatare et al. (2015) noted,
trading requires access to capital, transport, and storage infrastructure, which are often lacking in rural
communities, leading smallholder farmers to prioritise subsistence and market-oriented maize production.
Overall, the socio-economic profile suggests that maize farming in the study areas is predominantly driven by
males, with a majority of middle-aged, married farmers possessing limited formal education and few alternative
income sources, underscoring the need for targeted interventions in education, training, and technology adoption
(Table 9).
Table 9: Economic characteristics of respondents
Study Variable
Frequency
Percentage
Average Age of Respondent
Male
38
76
Female
12
24
Age
18-29
3
6
30-41
23
46
42-60
21
42
61 years and above
3
6
Marital Status
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Married
32
64
Single
11
22
Divorce
4
8
Widow/widower
3
6
Level of Education
Primary/JHS
17
34
O Level/SHS
11
22
Tertiary
2
4
Non-formal education
20
40
Main Occupation
Farmer
48
96
Trader
2
4
Source: field survey, 2023
Farmers’ Awareness, Use, and Perceived Effectiveness of Crop Enhancers and Organic Protectors
All respondents (100%) reported using crop enhancers, with Agrocharger being the most popular (32%),
followed by Dehigro (30%), Adepa (16%), and Apex 10 (4%). Most farmers (98%) used Agrocharger in
combination with Agro Clean, demonstrating strong acceptance of integrated applications. Usage varied
seasonally: 44% applied them year-round, 38% during the rainy season, and 18% in the dry season. Information
on Agrocharger mainly came from AEA/MoFA (58%), agrochemical dealers (18%), and radio or fellow farmers
(12%), emphasizing the key role of formal extension services. Agrocharger was mainly used on maize (46%)
and carrots (42%), with smaller use on cabbage (8%) and cowpea (4%). Application rates differed: 56% used 40
ml/15 L, 40% used 30 ml/15 L, and 4% used 15 ml/15 L, suggesting a preference for higher doses. Yield
outcomes were positive, with 52% achieving 3–4 t/ha, 32% achieving 2–3 t/ha, and 14% exceeding 4 t/ha, while
only 2% yielded below 2 t/ha. This suggests a strong correlation between the use of Agrocharger and increased
productivity. All respondents also used organic crop protectors, with Adepa (38%) and Neemazal (26%) being
the most common, followed by Agro Clean (14%), Agogo (12%), Bypel (8%), and Diapel (2%), reflecting a
preference for proven, accessible organic options (Table 10). The positive yield response, which is large in scale,
may be explained by the soil conditions, including P and K deficiencies and the low amount of soil organic matter
(SOM), which allows for inferences about the functional profile of Agrocharger. Agrocharger is a complex
system that has been demonstrated to enhance nutrient uptake efficiency and mitigate yield loss resulting from
common abiotic stress conditions in tropical agriculture (Li et al., 2022).
Table 10: Farmers' Knowledge, Usage, and Perceived Effectiveness of Crop Enhancers and Organic Crop
Protectors (n=50)
Study Variable
Frequency
Percentage
Have you ever used crop enhancer on your crops?
Yes
50
100.0
If yes, what type of crop enhancer did you use?
Adepa
8
16.0
Agrocharger
16
32.0
Agyenkwa
4
8.0
Apex 10
2
4.0
Dehigro
15
30.0
Supergro
5
10.0
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Have you used both Agro charger and Agro clean together?
Yes
49
98.0
No
1
2.0
If yes, when did you use it?
During the wet season
19
38.0
Dry season
9
18.0
Wet and dry
22
44.0
Where information on the Agro charger and Agro clean is received
Colleague farmer
6
12.0
AEAM/MoFA
29
58.0
Radio/Programme/Advert
6
12.0
Agrochemical seller/Stores
9
18.0
Stores
What type of crop was Agro Charger applied to
Carrot
21
42.0
Cabbage
4
8.0
Maize
23
46.0
Cowpea
2
4.0
Quantity of Agro charger used
15mls/15l
2
4.0
30mls/15l
20
40.0
40mls/15l
28
56.0
Average yield after application of Agro charger
1-2t/ha
1
2.0
2-3t/ha
16
32.0
3-4t/ha
26
52.0
> 4 t/ha
7
14.0
Have you ever used organic crop protector on your crop?
Yes
50
100.0
If yes, what type of crop protector was used?
Adepa
19
38.0
Agoo
6
12.0
Agro clean
7
14.0
Bypel
4
8.0
Diapel
1
2.0
Neemazal
13
26.0
Source: Field data 2023
Application Practices, Yield Benefits and Farmers’ Perceived Effectiveness
All respondents (100%) have used fertiliser, Agro Charger and Agro Clean. Seasonal use patterns showed that
46% applied them year-round, 38% only during the rainy season, and 16% only during the dry season, reflecting
adaptation to crop growth needs. Agro Clean was mainly used on maize (44%) and carrots (44%), with smaller
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use on cabbage (8%) and cowpea (4%). Application rates varied: 48% used 40 ml/15 L, 46% used 30 ml/15 L,
and 6% used 15 ml/15 L, suggesting a preference for higher doses. Yield results showed 50% achieved 3–4 t/ha,
32% had 2–3 t/ha, and 18% exceeded 4 t/ha. All farmers confirmed productivity gains from Agrocharger, mainly
through higher yields (90%), reduced organic fertiliser use (8%), and reduced inorganic fertiliser use (2%).
Similarly, 100% affirmed that Agro Clean improved output by reducing pest incidence (72%), enhancing crop
growth (10%), and lowering pesticide use (18%). Agrocharger and Agro Clean were rated as highly effective by
38% and 52% of users, respectively, and as effective by 54% and 48%, respectively. The combined use was
valued and deemed successful by 44% and 56% of farmers, underscoring its complementary benefits (Table 11).
The overall yield results show that regional yield disparities were effectively resolved. Just 18% of the
respondents produced yields greater than 4 t/ha, whereas half were able to obtain yields between 3 and 4 t/ha.
When compared to the average smallholder maize indicators in Sub-Saharan Africa (SSA), which typically range
between 1.8 and 3.2 t/ha, the high-performance level of 68 per cent of farmers attaining 3 t/ha or higher is
excessive (Leroux et al., 2019). Because of the environmental damage caused by traditional reliance on
agrochemicals, sophisticated, low-impact inputs have become necessary. Biostimulants and biopesticides, which
can enhance plant physiology and provide targeted control over pests, are a critical solution that has been
discovered to enable this change (Shang et al., 2019). The products mitigate yield declines characteristic of
adverse environmental conditions and contribute to improved resource management (Koleska et al., 2017).
Table 11: Use, Yield Benefits and Effectiveness of Agro Charger and Agro Clean (n=50)
Yes
50
100
If yes, when did you use it?
During the wet season
19
38.0
Dry season
8
16.0
Wet and dry
23
46.0
What type of crop was Agro Clean applied to
Carrot
22
44.0
Cabbage
4
8.0
Maize
22
44.0
Cowpea
2
4.0
Quantity of Agro Clean used
15mls/15l
3
6.0
30mls/15l
23
46.0
40mls/15l
24
48.0
Average yield after application of Agro Clean (Crop protector)
Study Variable
Frequency
Percentage
Have you used fertilizer, Agro charger, and Agro clean together?
Study Variable
Frequency
Percentage
Have you used fertilizer, Agro charger, and Agro clean together?
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2-3 t/ha
16
32.0
3-4 t/ha
25
50.0
> 4 t/ha
9
18.0
Did applying an Agro charger improve your production?
Yes
50
100.0
If yes, how did it improve your production?
Increased the number of economic parts (yield)
45
90.0
It reduced the amount of organic fertilizer/manure applied
4
8.0
It reduced the amount of inorganic fertilizer applied
1
2.0
Did the application of Agro Clean improve your production?
Yes
50
100.0
If yes, how did it improve your production?
Reduced the incidence of pests
36
72.0
Improved the crop performance in terms of growth
5
10.0
It reduced the number of inorganic pesticides used on the crops
9
18.0
Rating of the Agro charger as an effective crop enhancer
Highly effective
19
38.0
Effective
27
54.0
Moderately effective
4
8.0
Rating of Agro Clean as an effective crop enhancer
Highly effective
26
52.0
Effective
24
48.0
Source: Field data 2023
Grain Yield
At Fumesua, grain yield ranged from 1.6 t/ha in the control to 6.6 t/ha under the PM + A.CH + A.CL treatment
during the major season, while in the minor season, the highest yield recorded was 6.3 t/ha under the same
treatment. The results showed significant differences among treatments (P < 0.001), with the combination of
Have you ever used both Agro charger and Agro clean
Yes
50
100.0
What was the effectiveness level?
Highly effective
22
44.0
Effective
28
56.0
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Agro Charger, Agro Clean, and organic or inorganic fertilizers consistently producing higher yields. Poultry
manure and its combinations also significantly boosted grain yield, confirming the strong contribution of organic
inputs to maize productivity. At Mampong, yield performance followed a similar trend, with slightly lower
baseline values in the control and slightly lower peak yields than at Fumesua. Grain yield ranged from 1.5 t/ha
in the control to 6.4 t/ha in the PM + A.CH + A.CL treatment during the major season, and from 1.3 t/ha to 6.0
t/ha in the minor season under the same treatment. The inclusion of growth enhancers and organic fertilisers also
resulted in significant yield improvements, underscoring their role in boosting maize production. Both sites
showed positive responses to the integrated application of crop growth enhancers, inorganic, and organic
fertilisers, with Fumesua recording the highest yield (6.6 t/ha) compared with Mampong’s 6.4 t/ha. However,
Mampong’s lower control yield (1.3 t/ha vs. 1.8 t/ha) indicated a comparatively lower baseline soil fertility before
treatment (Table 12). The maximum grain yield was 100,000 plants/ha, and the minimum was 166,664 plants/ha;
the optimum was estimated at 9.74 plants/m² (97,400 plants/ha) (Ghaffari et al., 2011). The harvested amount of
plants in the present study was 24 (PM+CH+CL) between the major and minor seasons, with a range of 16
(NPK+CL) and 20 (CH). The results, which showed a high percentage of harvested plants using poultry manure
(PM), Agro Charger (CH), Agro Clean (CL), and NPK, were due to the synergistic effects of these inputs. The
poultry manure enhanced the water and soil structure, which are essential in the imbibition of seeds and their
uniform germination (Calamai et al., 2020; Ngosong et al., 2020), and the growth factors (CH and CL) probably
supplied the plant hormones (auxins, cytokinins) and microorganisms that promoted initial cell division, root
growth, and general seedling vigour, enhancing the faster establishment and survival (Shreenidhi et al., 2023;
Bhowmick et al., 2024).
Table 12: Influence of crop growth enhancers, inorganic, and organic fertilizers on maize grain yield in
the major and minor seasons of 2023.
Treatments
Fumesua
Mampong
Grain Yield(ton/Ha)
Major Minor
Grain Yield(ton/Ha)
Major Minor
Agro charger
3.6
2.7
4.0
3.5
Agro clean
2.8
2.2
3.0
3.0
A. CH. + A. CL
1.9
1.9
4.5
4.0
N.P. K
2.9
2.0
4.0
3.0
N.P. K +A.CH
5.7
5.4
6.0
5.3
N.P. K + A.CL
3.1
2.4
4.0
3.5
N.P. K + A.CH + A.CL
5.0
5.4
6.0
6.0
Poultry Manure
3.0
1.8
3.3
3.3
PM + A.CH
6.2
5.4
6.3
5.1
PM + A.CL
4.5
4.3
3.4
3.3
PM + A.CH + A. CL
6.6
6.3
6.4
6.0
Control
1.6
1.8
1.5
1.3
CV (%)
22.0
22.0
Season
HSD (0.05) =0.35 P=<0.0001
HSD (0.05) =1.46 P=<0.0001
HSD (0.05) =1.22 P=<0.0001
HSD (0.05) =0.31 P=<0.0001
HSD (0.05) =1.30 P=<0.0001
HSD (0.05) =1.09 P=0.0053
Treatment
S X T
Source: Analysed Field Data, 2023
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Production costs (ghc) associated with maize cultivation in fumesua and mampong during the major and
minor seasons
Table 13 presents the production costs of maize (Zea mays L.) under combined applications of organic growth
enhancers, inorganic fertilizers, and organic fertilizers at Fumesua and Mampong during both major and minor
seasons. The findings revealed a significant difference (P < 0.05) in production costs among treatments with
organic growth enhancers, inorganic fertilisers, and organic fertilisers. Costs ranged from GHC 1390.50 for the
control (lowest) to GHC 2117.50 for the NPK treatment (highest). The integrated Poultry Manure + Agro Charger
+ Agro Clean (PM + A.CH + A.CL) treatment resulted in a balanced cost of GHC 1,850.50 (Table 13). The high
cost of NPK fertilizer was attributed to its synthetic, nitrogen-based composition and energy-intensive production
process (Smith et al., 2020). Treatments combining PM, A.CH, and A.CL used a reduced NPK rate (125 kg/ha).
Although poultry manure and biostimulants added to total costs, the 50% reduction in NPK helped lower total
production costs.
Table 13: Costs and Returns of Maize Production
Treatments
Production Cost (GHC)
Agro charger
1697.50
g
Agro clean
1697.50
g
A. CH. + A. CL
1450.50
h
N.P. K
2117.50
a
N.P. K +A.CH
1922.50
c
N.P. K + A.CL
1922.50
c
N.P. K + A.CH + A.CL
1952.50
b
Poultry Manure
1790.50
f
PM + A.CH
1820.50
e
PM + A.CL
1820.50
e
PM + A.CH + A. CL
1850.50
d
Control
1390.50
i
Source: Analysed field data, 2023
Gross And Net Profit (Ghc) Of Maize Production in Fumesua and Mampong During the Major and Minor
Seasons
In Table 14, the gross and net profit of the combined use of organic crop growth enhancers, inorganic fertilizers,
and organic fertilizers on maize (Zea mays L.) production at Fumesua and Mampong during the major and minor
seasons was presented. The results revealed that gross profit and net profit varied significantly (p<0.05) among
the treatments applied in maize cultivation. The gross profit at Fumesua reached as high as GHC 33000 with the
PM + A.CH + A.CL treatment compared to a mere GHC 8000 for the control, while at Mampong, the highest
gross profit was GHC 32000 against GHC 15000 for the control in the major season. A similar pattern was
observed in the minor season, where Fumesua recorded GHC 33000, while the control recorded GHC 8000.
Additionally, during the minor season in Mampong, the gross profit ranged from GHC 15,000 to GHC 30,000,
as recorded by PM, A.CH, and A.CL, respectively. In addition, the net profit followed a similar pattern; the
PM + A.CH + A.CL treatment produced the highest net profit of GHC 31149.50 at Fumesua and GHC 30149.50
at Mampong, whereas the control yielded the lowest net profit at GHC 6609.50 and GHC 13609.50, respectively.
The dynamics lie in profit, which is a function of yield minus cost and is linked to the efficient use of nutrients.
NPK, despite its high cost and effectiveness, does little to improve soil health and can even contribute to soil
acidification and a decline in soil organic matter, reducing the soil's natural fertility and water-holding capacity.
Profit efficiency among Ghanaian maize farmers is low, with a mean efficiency of around 48.4%, indicating that
a significant portion of potential profit is lost to production inefficiencies (Wongnaa et al., 2019). In the current
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research, the efficient ways of cultivating maize were evaluated, with clear indications that PM + A.CH + A.CL
resulted in a 312.5% increase in gross profit at Fumesua during the major and minor seasons, while Mampong
resulted in a 113.33% increase, respectively. Additionally, both Fumesua and Mampong recorded percentage
increases of 371.3% and 121.53%, respectively, in net profit from maize cultivation during the major season. In
comparison, 371.3% and 106.8% were recorded by Fumesua and Mampong during the minor season.
Table 14: Gross and Net Profit (GHC) from Maize Production in Fumesua and Mampong During the
Major and Minor Seasons
Treatments
Gross Profit (GHC)
Net Profit (GHC)
Fumesua
Mampong
Fumesua
Mampong
Major
Minor
Major
Minor
Major
Minor
Major
Minor
Agro charger
18000
f
18000
f
20000
e
17500
e
16302.5
f
16302.5
f
18302.5
f
15802.5
f
Agro clean
14000
j
14000
j
15000
h
15000
g
12302.5
j
12302.5
j
13302.5
l
13302.5
k
A. CH. + A. CL
9500
k
9500
k
22500
d
20000
d
8049.5
k
8049.5
k
21049.5
e
18549.5
e
N.P. K
14500
i
14500
i
20000
e
15000
g
12382.5
i
12382.5
i
17882.5
h
12882.5
l
N.P. K +A.CH
28500
c
28500
c
30000
c
26500
b
26577.5
c
26577.5
c
28077.5
c
24577.5
d
N.P. K + A.CL
15500
g
15500
g
20000
e
17500
e
13577.5
g
13577.5
g
18077.5
g
15577.5
g
N.P. K + A.CH + A.CL
25000
d
25000
d
30000
c
30000
a
23047.5
d
23047.5
d
28047.5
d
28047.5
c
Poultry Manure
15000
h
15000
h
16500
g
16500
f
13209.5
h
13209.5
h
14709.5
j
14709.5
h
PM + A.CH
31000
b
31000
b
31500
b
25500
c
29179.5
b
29179.5
b
29679.5
b
23679.5
a
PM + A.CL
22500
e
22500
e
17000
f
16500
f
20679.5
e
20679.5
e
15179.5
i
14679.5
i
PM + A.CH + A. CL
33000
a
33000
a
32000
a
30000
a
31149.5
a
31149.5
a
30149.5
a
28149.5
b
Control
8000
l
8000
l
15000
h
15000
g
6609.5
l
6609.5
l
13609.5
k
13609.5
j
Source: Analysed Field Data, 2023
CONCLUSION
The integration of survey findings and field experiment results provides strong evidence of the effectiveness,
profitability, and practicality of combining Agrocharger and Agro Clean in maize cultivation.
Survey data showed unanimous farmer approval, with 100% of respondents confirming productivity gains from
Agrocharger and Agro Clean. Agrocharger was primarily credited with yield improvement (90%) and reduced
fertilizer dependency, both organic (8%) and inorganic (2%). Similarly, Agro Clean was recognized for lowering
pest incidence (72%), improving crop growth (10%), and reducing pesticide use (18%). Farmers rated
Agrocharger and Agro Clean as highly effective (38% and 52%, respectively) and effective (54% and 48%,
respectively). Their combined use was valued by most respondents (44% highly valuable, 56% successful),
indicating a strong belief in the complementary effects of their use.
These perceptions were validated by field experiment results, which demonstrated that the integrated Poultry
Manure + Agro Charger + Agro Clean (PM + A.CH + A.CL) treatment provided the most efficient and profitable
production system. Despite a moderate production cost (GHC 1850.50), this treatment achieved remarkable
gains, gross profit increases of 312.5% at Fumesua and 113.33% at Mampong, and net profit increases of 371.3%
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and 121.53%, respectively, during the major season. Comparable improvements were observed in the minor
season, with 371.3% and 106.8% increases in net profit.
The PM + A.CH + A.CL treatment also produced the highest grain yields (5.3–6.6 t/ha) across both locations and
seasons. The integrated approach effectively reduced NPK application by 50% (125 kg/ha), offsetting the higher
cost of synthetic fertilisers while maintaining high productivity levels. This aligns with farmers’ perceptions that
Agrocharger and Agro Clean enhance yield and efficiency while minimizing reliance on costly inputs.
Overall, both the survey and experimental results confirm that integrating Agrocharger and Agro Clean with
organic manure optimises resource use, improves crop performance, and substantially increases profitability,
providing a sustainable, cost-effective alternative to sole inorganic fertilizer use.
RECOMMENDATIONS
Based on the findings, the following recommendations were made.
It is therefore recommended that farmers prioritizing maize production adopt the integrated use of poultry
manure, Agro Charger, and Agro Clean at rates of 5 t/ha + 148 ml per 74 L water/ha + 148 ml per 74 L water/ha
(PM + A.CH + A.CL) respectively, to achieve maximum yield, and secure higher economic return.
Alternatively, farmers who prefer inorganic fertilisers are advised to apply half the recommended inorganic
fertiliser rate, alongside Agro Charger at 125 kg/ha + 148 ml per 74 L water/ha (NPK + A.CH), to optimise yields
and profitability.
Author Contributions
E.K.B. responsibly planned, set up, and ran all analyses and wrote the manuscript. H.K.D. provided supervision,
editing and reviewing of the manuscript. E.N. was involved in planning, supervision, reviewing, and editing,
making contributions to the write-up. M.E.E. was part of the supervision team and was involved in reviewing
and editing the manuscript.
Funding
Self-funding
ACKNOWLEDGMENT
The lead author thanks the PhD supervisory team and Technicians at the Council for Scientific and Industrial
Research, Crop Research Institute, Fumesua. Thanks also go to all the staff and colleagues at the Department of
Crop and Soil Sciences Education, Faculty of Agriculture Education, Akenten Appiah Menka University of Skills
Training & Entrepreneurial Development, Asante Mampong.
For hosting the lead author during research.
Conflicts of Interest
The authors declare that they have no conflict of interest. The funders had no role in the design of the study, the
collection, analysis, or interpretation of data, the writing of the manuscript, or the decision to publish the results.
REFERENCES
1. Adeagbo, O. A., Ojo, T. O., & Adetoro, A. A. (2021). Understanding the Determinants of Climate Change
Adaptation Strategies among Smallholder Maize Farmers in South-Western Nigeria. Heliyon, 7(2).
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN APPLIED SCIENCE (IJRIAS)
ISSN No. 2454-6194 | DOI: 10.51584/IJRIAS |Volume X Issue X October 2025
Page 1822
www.rsisinternational.org
2. Akurugu, J. A. (2022). Factors Influencing School Dropout Among Female Junior High School Pupils in the
Pusiga District. International Journal of Social Sciences and Management Review, 5(2), 31-49.
3. Amankwah, A., Ambel, A., Gourlay, S., Kilic, T., Markhof, Y., & Wollburg, P. (2024). Fertilizer Price Shocks
in Smallholder Agriculture. World Bank.
4. Amanullah, M. M., Somasundaran, E., Vaiyapuri, K., & Sathyamoorthi, K. (2007). Poultry manure to crop
s- A review. Agricultural reviews, 28(3), 216-222.
5. Asante, F., van Ittersum, M. K., Jongeneel, R. A., Adjei-Nsiah, S., & Akotsen, C. (2017). Improving food
security by reducing the maize yield gap in Ghana.
6. Baillie, L. (2015). Promoting and evaluating scientific rigour in qualitative research. Nursing Standard
(2014+), 29(46), 36.
7. Barker, N. (2022). The Effects of Female Land Inheritance on Economic Productivity in Ghana. University
of Chicago, Chicago.
8. Bigombe, B., & Khadiagala, G. M. (2004). Major trends affecting families in Sub-Saharan Africa.
Alternativas. Cuadernos de Trabajo Social, N. 12 (diciembre 2004); pp. 155-193.
9. Bilong, E. G., Abossolo-Angue, M., Nanganoa, L. T., Anaba, B. D., Ajebesone, F. N., Madong, B. A., &
Bilong, P. (2022). Effects of Organic Manures and Inorganic Fertilisers on Soil Properties and Economic
Analysis under Cassava Cultivation in Southern Cameroon. Scientific reports, 12(1), 20598.
10. Bua, S., El Mejahed, K., MacCarthy, D., Adogoba, D. S., Kissiedu, I. N., Atakora, W. K., ... & Bindraban,
P. S. (2020). Yield responses of maize to fertilizers in Ghana (No. 2, p. 3). Accra: IFDC FERARI Research
Report.
11. Creswell, J. D., Pacilio, L. E., Lindsay, E. K., & Brown, K. W. (2014). Brief mindfulness meditation training
alters psychological and neuroendocrine responses to social evaluative stress. Psychoneuroendocrinology,
44, 1-12.
12. Gatare, E., Zenon, M., & Oduor, J. (2015). Factors Affecting Market Access for Agricultural-Based Projects
in Rwanda: A Case Study of the Home-Grown School Feeding (HGSF) Project in Nyaruguru District.
International Journal of Civil Engineering, Construction and Estate Management, 3(4), 20-30.
13. George, D., & Mallery, P. (2016). Frequencies. In IBM SPSS Statistics 23 step by step (pp. 115-125).
Routledge.
14. Jayne, T. S., Chamberlin, J., Traub, L., Sitko, N., Muyanga, M., Yeboah, F. K., ... & Kachule, R. (2016).
Africa's Changing Farm-Size Distribution Patterns: The Rise of Medium-Scale Farms. Agricultural
Economics, 47(S1), 197-214.
15. Larsen, S. (2014). An Appraisal of Quality Basic Education in Ashanti Farming Communities of Ghana.
16. Masi, M., De Rosa, M., Vecchio, Y., Bartoli, L., & Adinolfi, F. (2022). The Long Road to Innovation
Adoption: Insights from Precision Agriculture. Agricultural and Food Economics, 10(1), 27.
17. Mwamadi, N., & Seiffert, B. (2012, September). Reducing Child Labour in Agriculture through good
agricultural practices: FAO experiences. In the National Conference on Eliminating Child Labour in
Agriculture. Lilongwe, Malawi: FAO.
18. Neupane, D., Adhikari, P., Bhattarai, D., Rana, B., Ahmed, Z., Sharma, U., & Adhikari, D. (2022). Does
climate change affect the yield of the top three cereals and food security in the world? Earth, 3(1), 45 -71.
19. Pallant, J. (2020). SPSS Survival Manual: A Step-by-Step Guide to Data Analysis Using IBM SPSS.
Routledge.
20. Philip, T. K., & Itodo, I. N. (2012). Demographic Characteristics and Agricultural and Technological Profiles
of Acha Farmers in Nigeria. Agricultural Engineering International: CIGR Journal, 14(1), 89-93.
21. Poku, A. G., Birner, R., & Gupta, S. (2018). Why do maize farmers in Ghana have a limited choice of
improved seed varieties? An assessment of the governance challenges in seed supply. Food security, 10(1),
27-46.
22. Ricker-Gilbert, J. (2024). Increasing agricultural productivity in Sub-Saharan Africa during times of volatile
prices and a changing climate. Agrekon, 63(4), 213-222.
23. Smith, C., Hill, A. K., & Torrente-Murciano, L. (2020). Current and future role of Haber–Bosch ammonia
in a carbon-free energy landscape. Energy & environmental science, 13(2), 331-344.
24. Teusner, A. (2016). Insider research, validity issues, and the OHS professional: One person’s journey.
International journal of social research methodology, 19(1), 85-96.
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN APPLIED SCIENCE (IJRIAS)
ISSN No. 2454-6194 | DOI: 10.51584/IJRIAS |Volume X Issue X October 2025
Page 1823
www.rsisinternational.org
25. Wahab, I., Jirström, M., & Hall, O. (2020). An integrated approach to unravelling smallholder yield levels:
The case of small family farms in the Eastern Region, Ghana. Agriculture, 10(6), 206.
26. Wongnaa, Camillus & Awunyo-Vitor, Dadson & Mensah, Amos & Adams, Faizal. (2019). Profit Efficiency
Among Maize Farmers and Implications for Poverty Alleviation and Food Security in Ghana. Scientific
African. 6. e00206. 10.1016/j.sciaf. 2019.e00206.
27. World Bank Open Data. (2025, January 7). World Bank Open Data. Retrieved August 29, 2025, from
https://data.worldbank.org/indicator/SL.TLF.CACT.NE.ZS?locations=gh
28. Li, J., Van Gerrewey, T., & Geelen, D. (2022). A meta-analysis of biostimulant yield effectiveness in field
trials—Frontiers in Plant Science, 13, 836702.
29. Leroux, L., Castets, M., Baron, C., Escorihuela, M. J., Bégué, A., & Seen, D. L. (2019). Maize yield
estimation in West Africa from crop process-induced combinations of multi-domain remote sensing indices.
European Journal of Agronomy, 108, 11-26.
30. Shang, Y., Hasan, M. K., Ahammed, G. J., Li, M., Yin, H., & Zhou, J. (2019). Applications of
nanotechnology in plant growth and crop protection: a review. Molecules, 24(14), 2558.
31. Koleška, I., Hasanagić, D., Todorović, V., Murtić, S., Klokić, I., Parađiković, N., & Kukavica, B. (2017).
Biostimulants prevent yield loss and reduce oxidative damage in tomato plants grown on reduced NPK
nutrition. Journal of Plant Interactions, 12(1), 209-218.