Enhance Food Production Research Articles

ASSESSMENT AND MAPPING OF RAINFALL EROSIVITY INDEX (R) FOR MAJHA REGION, PUNJAB IS A STATE IN NORTHERN, INDIA

Purpose: This study gives a critical assessment of the rainfall erosivity factor (R) for selected sites in the Majha region, representing different locations use of mean monthly rainfall data. 
 Methodology: By applying empirical methods, the rainfall intensity for all the locations were obtained and was further determined at three different intervals of 30-minutes, 45-minutes and 60-minutes, respectively. The rainfall erosivity factor (R) was calculated by the revised universal soil loss equation (RUSLE).
 Main Findings: Using RUSLE, the rainfall erosivity factor (R) for each of the locations was measured as follows; EI = 3878.49 (MJmmha-1hr-1), EI = 4013.71 (MJmmha-1hr-1), EI = 4302.24 (MJmmha-1hr-1) for Majha region of Amritsar, Tarntaran and Pathankot respectively. A close observation of the data obtained revealed that as rainfall intensity increased with the duration, the rainfall erosivity index reduced or decreased.
 Implications of study: Nevertheless, it is expected that if proper cover crop and management practices are applied despite the region, the study area falls within, rainfall erosivity can be cushioned, thus reducing further erosion tendencies and enhancing food production chances from productive lands within the area.
 The novelty of study: The rainfall erosivity factor (R) was calculated by the revised universal soil loss equation (RUSLE).

Female Farmers’ Agricultural Information Needs and Food Production: A Case Study of Imbulpe ds Division in Sri Lanka

The study was conducted to find out female farmers’ agricultural information needs and their impact on food production, in the Imbulpe DS Division in Sri Lanka. Of the female farmers in the area, 238 were taken as the sample for the study from seven selected Grama Niladhari (GN) divisions in the area. Female farmers were selected by using a simple random sampling method from these purposively selected GN divisions. A pre-tested, interviewer-administered questionnaire survey was used as the primary data collection method from March to July 2019. Data analysis was done by using descriptive statistics and chi-square analysis. The result revealed that the majority (62.6%) of respondents were middle aged (40-59 years), married, and belonged to families with 4-5 members. Most respondents (64.3 %) had studied up to junior secondary education level. Their average farm land size is 0.84 acres and they have farming experience of about 15 years. Most of the respondents mentioned that they had obtained higher levels of information needs about improved crop varieties. In addition, female farmers reported that they moderately need information on application of agrochemicals, improved market systems and modern farming technologies. Extension agents and other female farmers act as their major sources of agricultural information and ICT equipment acts as the least important agricultural information source in this area. Moreover, there is a significant positive association between the agricultural information needs and food production. Therefore, providing necessary agricultural information and enhanced utilization of ICT tools for agricultural information sources, and encouraging female farmers to participate in farming societies will lead to enhanced food production in this area.

Motivating cocoa farmers to adopt agroforestry practices for mitigating climate change

AbstractWith the adverse effects of climate change becoming more prominent, more effective strategies for reducing the increase in atmospheric CO2 levels are required for mitigating further climate change. Increasing use of renewable energy by farmers motivated to practice agroforestry is one natural solution for reducing those climate change impacts. Unfortunately, climate change mitigation through agroforestry has been inhibited by a lack of scientific validation. In this paper, we ascertain factors that motivate African cocoa farmers to use agroforestry practices for enhancing food production as well as for mitigating climate change. We analyzed data collected from 120 farmers from the Oyo state of Nigeria through descriptive and regression analysis statistical tools. We found that access to information (β = 0.23, t = 2.18) and extension service (β = 0.23, t = 2.27) was associated with greater willingness of farmers to participate in agroforestry whereas negative attitudes (β = −0.29, t = −3.21) were associated with a lower involvement of cocoa farmers in agroforestry practices. We conclude that effective climate change mitigation programs need to do more to motivate farmers to adopt agroforestry practices by increasing their understanding of the benefits to be derived from carbon markets and by providing them with the necessary tools for employing these practices for climate change mitigation and more sustainable food production.

Assessment of sustainable land use: linking land management practices to sustainable land use indicators

ABSTRACT Land degradation threatens food production especially in smallholder farming systems predominant in sub-Saharan Africa. Monitoring the effects of agricultural land uses is critical to guide sustainable intensification (SI). There are various indicators of sustainable land use (SLU), but conventional methods to quantify their metrics are complex and difficult to deploy for rapid and large-scale assessments. Considering that SLU indicators are dependent on agricultural practices, which can be rapidly identified and quantified, we propose a framework for SLU assessment that includes indirect quantifications of prioritized indicators (crop productivity, soil organic carbon (SOC), acidification, erosion, nutrient balance) using agricultural practices; and a SLU index derived from the integration of these indicators. The application of the framework to a case study, consisting of 1319 farm plots in Tanzania, reveals that SOC and N balance were the main contributors to the SLU gap. Only 2.2% of the plots qualified as being used sustainably. The framework proved to be sensitive to practices commonly used by farmers, thus providing an opportunity to identify practices needed to revert land degradation. Further application of the framework as a decision-support tool can enhance the efficiency of SI investments, by targeting practices which effectively enhance food production and preserve land.

Enhanced Convolutional-Neural-Network Architecture for Crop Classification

Automatic crop identification and monitoring is a key element in enhancing food production processes as well as diminishing the related environmental impact. Although several efficient deep learning techniques have emerged in the field of multispectral imagery analysis, the crop classification problem still needs more accurate solutions. This work introduces a competitive methodology for crop classification from multispectral satellite imagery mainly using an enhanced 2D convolutional neural network (2D-CNN) designed at a smaller-scale architecture, as well as a novel post-processing step. The proposed methodology contains four steps: image stacking, patch extraction, classification model design (based on a 2D-CNN architecture), and post-processing. First, the images are stacked to increase the number of features. Second, the input images are split into patches and fed into the 2D-CNN model. Then, the 2D-CNN model is constructed within a small-scale framework, and properly trained to recognize 10 different types of crops. Finally, a post-processing step is performed in order to reduce the classification error caused by lower-spatial-resolution images. Experiments were carried over the so-named Campo Verde database, which consists of a set of satellite images captured by Landsat and Sentinel satellites from the municipality of Campo Verde, Brazil. In contrast to the maximum accuracy values reached by remarkable works reported in the literature (amounting to an overall accuracy of about 81%, a f1 score of 75.89%, and average accuracy of 73.35%), the proposed methodology achieves a competitive overall accuracy of 81.20%, a f1 score of 75.89%, and an average accuracy of 88.72% when classifying 10 different crops, while ensuring an adequate trade-off between the number of multiply-accumulate operations (MACs) and accuracy. Furthermore, given its ability to effectively classify patches from two image sequences, this methodology may result appealing for other real-world applications, such as the classification of urban materials.

Plant Microbiota Beyond Farming Practices: A Review

Plants have always grown and evolved surrounded by numerous microorganisms that inhabit their environment, later termed microbiota. To enhance food production, humankind has relied on various farming practices such as irrigation, tilling, fertilization, and pest and disease management. Over the past few years, studies have highlighted the impacts of such practices, not only in terms of plant health or yields but also on the microbial communities associated with plants, which have been investigated through microbiome studies. Because some microorganisms exert beneficial traits that improve plant growth and health, understanding how to modulate microbial communities will help in developing smart farming and favor plant growth-promoting (PGP) microorganisms. With tremendous cost cuts in NGS technologies, metagenomic approaches are now affordable and have been widely used to investigate crop-associated microbiomes. Being able to engineer microbial communities in ways that benefit crop health and growth will help decrease the number of chemical inputs required. Against this background, this review explores the impacts of agricultural practices on soil- and plant-associated microbiomes, focusing on plant growth-promoting microorganisms from a metagenomic perspective.

Soil quality and productivity improvement: Indian story

Restoration and improvement of soil quality is the prerequisite for ensuring agricultural productivity and food security in India. Although intensification enhanced food production, it led to a decline in factor productivity, health of environment, and an impairment in soil quality. The declined soil quality is manifested through impaired ecosystem services and also loss in yield and profitability. Soil organic C (SOC) is considered as the panacea for maintaining the soil quality through improved microbial activities, water availability and nutrient use efficiency. The present review emphasizes the need for maintenance of SOC content in Indian soils challenged with high oxidative loss out of high temperature, good moisture and cultivation led soil perturbations. Importance of balanced fertilization through soil test, integrated nutrient management, and adoption of innovative farming practices such as conservation agriculture for enhancement of SOC storage and consequent improvement in soil quality even under intensive cultivation in various agro-climatic regions of the country is emphasized.

Effects of climate-smart agricultural practices on crop yields, soil carbon, and nitrogen pools in Africa: a meta-analysis

PurposeClimate-smart agriculture (CSA) practices have been advanced as an alternative to conventional farming practices due to their importance in climate mitigation and soil quality improvement, while also enhancing food production. However, few studies have quantitatively investigated the effects of a range of CSA practices on crop yield, soil carbon, and nitrogen pools. This study adds to this limited body of work by synthesizing such studies and evaluates the effect of individual and combinations of widely implemented CSA practices in Africa—green manure (GM), conservation tillage (no-tillage, reduced tillage), and crop residue retention (CR)—on food crop yield, soil organic carbon (SOC) concentration, and soil total nitrogen (TN).Materials and methodsThis study conducted a meta-analysis of results reported in 60 peer-reviewed articles to examine the effects of CSA management (GM, CR, and conservation tillage) on crop yield, SOC concentration, and soil TN in Africa.Results and discussionThe implementation of CSA practices significantly increased crop yield and SOC concentrations (mean effect 9.2% and 14.7%, respectively), although no significant change was evident in soil TN. In terms of yield increase, GM was the most effective practice, increasing yield by 63.5%, followed by CR (5.8%). Conservation tillage and CR increased SOC by 16.4% and 13%, respectively, but no significant difference was observed with GM. Further analysis suggested that integrating CSA practices (conservation tillage and GM; conservation tillage and CR) had a more pronounced effect on both SOC concentration and yield under lower nitrogen fertilizer levels.ConclusionOur meta-analysis showed that CSA management resulted in higher yields and SOC concentrations, thus suggesting the importance of CSA practices in enhancing food production and climate mitigation in Africa. It also highlights the potential of the integration of CSA practices to improve SOC and TN pools and consequently crop productivity.

Interplay of Climate Variability, Land Use Change, Crop Yield and Farm Households Food Security in Offin River Basin, Ghana

Climate variability and adapted land use systems have altered climate systems. Their impact on agro-ecosystems adversely affects crop yield, food security and livelihoods of farm households. This paper examines the coupled effects of climate variability and land use change on crop yield and food security among farm households in the Offin River Basin. The study used remote sensing, geographic information systems, time series climate and crop yield data and farm household survey in examining the impacts of climate variability and land use change on crop yield and farm household food security. Landsat Multi-Spectral Scanner (MSS), Landsat Thematic Mapper (TM) and Landsat Enhanced Thematic Mapper plus (ETM+) were used to assess land use and land cover change and agricultural drought conditions in the area. Spline interpolation techniques and Spearmans’ rank correlation were employed to assess the trend and spatial distribution of rainfall and temperatures in the basin. Multiple linear regression model (MLRM) and Pearson correlation were used to assess the effect of rainfall and temperature on major food crop yields. Household Food Balance Model (HFBM) was used to measure food security status at farm household level. The results revealed that climate variability coupled with adapted land use systems in Offin River basin have contributed to massive deforestation, accelerated soil degradation and recurrent agricultural droughts resulting in the loss of productive farmlands and low food crop yields. Household food balance model (HFBM) analysis revealed that 60.8% of the farm households in the basin could not meet the minimum recommended energy level of 2900 kilo calories intake per person per day while 39.2% of farm households were food secured subsisting on more than recommended kilo calories per person per day. Utilization of inland valleys, food crop management practices, soil and water conservation and management technologies, mixed cropping systems and crop diversification were found to have contributed positively and significantly to farm household food security. It is recommended that Government agencies such as MoFA, GASIP and existing Non-Governmental Organizations (NGOs) should increase investment in soil and water conservation strategies (SWCS) and inland valleys food production systems to enhance food production and food security systems among farm households.

Assessing soil quality under long-term organic vis-a-vis chemical farming after twelve years in north-western India

Sustaining soil fertility and enhancing food production on smallholder farms is a great challenge in the Indo-Gangetic plains (IGP). Soil fertility parameters viz., physical, chemical and biological, though intrinsically linked to one another in the soil environment, are often studied in isolation. This work adds value to analyses of all these three components of soil quality influenced by different cropping systems under organic and chemical farming by correlating all these parameters, otherwise left unexplored. The study compared soil physical, chemical and biological characteristics in relation to long term organic and chemical farming in a sandy loam soil. The field experiments were conducted at Punjab Agricultural University, Ludhiana, India, with two farming systems in main plots for 12 seasons and four cropping systems in sub-plots for 4 seasons. The organic farming with green manuring (GM) to basmati rice and farmyard manure to wheat in basmati rice - wheat cropping system significantly increased soil water holding capacity, mean weight diameter, soil organic carbon, cation exchange capacity, dehydrogenase activity and basal soil respiration by 42.3, 62.7, 48.9, 59.0, 55.6 and 50.3%, respectively than with chemical farming. The crop productivity was 33.9% higher in organic than chemical farming, resulting in higher net returns under GM based organic farming. Principal component analysis (PCA) distincted organic farming from the chemical farming under different cropping systems based on basal soil respiration and cation exchange capacity in PC1 (explaining 93.1% of total variability), and the carbohydrate carbon and pH in PC2 (19.5% variability). These indicators are most influential for studying soil quality under organic farming and GM based cropping systems.

Impact of Trade Openness and Climate Change on Food Productivity in Nigeria

Liberal trade regimes could help improve food productivity if environmental concerns such as adverse weather conditions that affect agriculture are addressed. This issue has not received adequate empirical scrutiny as linear models dominate extant literature. In this article, we check whether accounting for trade and climate change asymmetries is important in explaining food productivity in Nigeria. Using a nonlinear autoregressive distributed lag (ARDL) model, the existence of asymmetry was established in the long run but not in the short run. The long-run estimates show that high rainfall variability increases food production, but the reverse is the case in the short run where the decomposed shocks exert a negative impact. An increase in the volume of trade boosts food production in the long run, whereas the contemporaneous estimates reveal that lower trade flows enhance food productivity. The findings have important implications for food policy formulation and implementation. JEL Codes: F18, Q18, Q56

Community-based nutrition-sensitive approach to address short-term hunger and undernutrition among primary school children in rural areas in a developing country setting: lessons from North and North-Eastern Uganda

BackgroundUndernutrition in childhood is an important factor that greatly impedes the achievement of full human potential at adulthood. Despite increased enrolment of pupils in primary schools in developing countries, short-term hunger and undernutrition continue to impact negatively on school attendance, retention and education outcomes in economically disadvantaged rural areas. This study examined the feasibility of a community-based participatory action research approach building capacity of rural women food vendors to use local food resources to produce nutritionally enhanced food products for primary school feeding in rural localities in a developing country setting.MethodsMixed methods approach incorporating focus group discussions (FGDs) to evaluate parents’ and school administrators’ perceptions of the community-based approach, participatory experimental improvement of nutritional quality of an energy-based cassava product (gari) involving community women food vendors, and cross-sectional acceptability assessment of improved products among rural primary school children. Qualitative content analysis, one-way analysis of variance and correlation analysis was used to analyse FGD data, compare nutritional profile and consumer sensory profile of different products, and examine associations between sensory attributes and acceptability of the products, respectively.ResultsThe approach of using local food resources to produce nutritious products targeting school feeding was strongly recognised by parents, school administrators, teachers and small scale rural women food vendors as an adoptable nutrition-sensitive means of addressing short-term hunger among primary school children in rural settings. The action research resulted in a highly accepted nutritionally enhanced product (consisting of cassava, soy and silver fish) exhibiting superior nutritional properties (23.29% protein, 90.5 g/100 g calcium, 4.5 g/100 g zinc, 11.6 g/100 g iron, 40.40 g/100 g phosphorus, 61.57 μg/100 g vitamin A) compared to the original energy-dominated cassava product (2.18% Protein, 55.6 g/100 g calcium, 1.2 g/100 g zinc, 4.4 g/100 g iron, 6.6 g/100 g phosphorus, 11.23 μg/100 g vitamin A) (p < 0.05). Nutritional computation revealed that serving 120 g of the new product would suffice to meet 30% of the recommended dietary allowance for essential nutrients that children should receive from school meals.ConclusionCommunity-level nutrition-sensitive innovation using local foods resources offers the opportunity for rural women food vendors to contribute to addressing short-term hunger and undernutrition challenges in primary schools in economically-disadvantaged localities in developing countries.

Hepatoprotective Effects of Taraxacum officinale Root Extract on Permethrin-induced Liver Toxicity in Adult Mice

Background: Globally, permethrin is used as an insecticide for pest control in indoor environments and in agriculture to enhance food production by eradicating undesirable insects and controlling disease vectors. &#x0D; Objective: The present study investigated the protective effects of Taraxacum officinale (dandelion) on permethrin-induced liver injury in mice. &#x0D; Methods: Adult mice were divided into four groups. The first group was the negative control group, whereas the second group was the positive control group that received dandelion through the diet at 2% (corresponding to a dose of 5 g/kg bw). The third group received permethrin (96 mg/kg bw) by gavage, whereas the fourth group received permethrin and a diet enriched with dandelion (cotreatment). All mice were sacrificed after 14 days of treatment.&#x0D; Results: Biomarkers of liver toxicity (AST, ALT, ALP, and LDH activities and bilirubin level) increased following permethrin treatment. Permethrin induced oxidative stress, which was indicated by an increase in MDA and GSH levels as well as GPx activity and a decrease in SOD activity. Permethrin treatment caused histological alterations in the liver, whereas co-treatment with dandelion reduced liver injury. Our results revealed that alterations of biochemical parameters and liver histological profile in mice following permethrin exposure were reversed towards normalization by the treatment with dandelion roots extract. &#x0D; Conclusion: The protective effect of this plant might be due to its antioxidant capacity.

Mobilizing farmers to stop land degradation: A different discourse from Burundi

AbstractStopping land degradation is one of the biggest challenges worldwide and particularly in Burundi, with its unprecedented rates of soil loss and growing food insecurity. This article proposes a different discourse on how to engage people in stopping land degradation, and presents results and lessons learned from a bottom‐up inclusive approach implemented since 2014 in Burundi: the integrated farm planning (PIP) approach. The PIP approach aims to build a solid foundation for sustainable change toward enhanced food production and good land stewardship, based on three foundation principles (motivation, stewardship, and resilience) and three guiding principles (empowerment, integration, and collaboration). This article is based on two studies undertaken in 2018: an impact study among 202 households and a qualitative study using the most significant change methodology with 30 households. Findings from both studies provide initial support that the PIP approach generates considerable changes at household, farm, and village level. Based on a vision and a plan for their farm, motivated PIP households are currently investing in the resilience of their farms and applying a diversity of conservation practices, while in all PIP villages concrete collective action is undertaken for sustainable land stewardship. Given its rapid upscaling in Burundi and the potential of the PIP approach to mobilize farmers for motivated action, the article concludes with a reflection on the core elements of a different discourse to stop land degradation.

Oilseed crop sunflower (Helianthus annuus) as a source of food: Nutritional and health benefits.

The use of biofertilizers in developing environmentally friendly agriculture as an alternative to chemical‐based fertilizers in enhancing food production is promising in sustainable agriculture for the improvement in the yield of some commercial crops such as sunflowers and other oilseed crops in terms of quality and quantity. Sunflower is an important oilseed crop native to South America and currently cultivated throughout the world. Generally, the sunflower is considered important based on its nutritional and medicinal value. Due to its beneficial health effects, sunflower has been recognized as functional foods or nutraceutical, although not yet fully harnessed. Sunflower contains mineral elements and phytochemicals such as dietary fiber, manganese, vitamins, tocopherols, phytosterols, triterpene glycosides, α‐tocopherol, glutathione reductase, flavonoids, phenolic acids, carotenoids, peptides, chlorogenic acid, caffeic acid, alkaloids, tannins, and saponins; and these compounds contribute to their functional and nutraceutical development. The extract from sunflower is known to be a potential source of antimicrobial, anti‐inflammatory, antitumor, and antioxidants agents that protect human cells against harmful reactive oxygen molecules and pathogenic microorganisms. Also, the pharmacological survey on sunflower had revealed its curative power to different kinds of diseases. The health benefits of sunflower include blood pressure and diabetic control, skin protection, and lowering cholesterol and other functions. This review is written with appropriate referencing to previously published work and provides updated information regarding the new method of organic farming for sunflower production, nutritional and health benefits, and its by‐products as human diet and livestock feed. Also, the constraints of sunflower production are elucidated.

Arsenic adsorption on layered double hydroxides biochars and their amended red and calcareous soils

Highly efficient amendments for controlling arsenic (As) pollution in soils are imperative to improve soil quality and enhance food production. In the present study, corn stalk biochar was functionalized with three kinds of layered double hydroxides (i.e., Mg–Al-LDH, Zn–Al-LDH, and Cu–Al-LDH) using a simple co-precipitation method. The synthesized LDH biochar composites (LDH@BCs) exhibited better adsorption capacity and affinity for As due to their enhanced anion exchange capacity and reactive surface hydroxyl groups identified by XRD, FTIR and XPS. Arsenic (As) bioavailability and leaching characteristics of spiked red and calcareous soils (150 mg As/kg) amended with or without LDH@BCs were investigated using soil column. The Zn–Al-LDH@BC decreased the As (V) migration and increased pak choi (Brassica chinensis L.) growth in both red and calcareous soil. These results indicated that LDH modified biochar is an effective way to overcome the shortfalls of unmodified biochar in mitigating the As contamination and provide a basis for further exploring the potential of biochar-based soil amendments for environmental remediation.

Water planning framework for alfalfa fields using treated wastewater fertigation in Qatar: An energy-water-food nexus approach

The state of Qatar is challenged by food insecurity due to its limited water resources. Considering its large industrial infrastructure and municipal water usage, treated wastewater with varying nutritional content can alleviate the stress on groundwater resources and enhance food production. Using an energy-water-food nexus approach, this study presents a planning framework that identifies the optimum allocation of 13 sources of treated wastewater to be used in cultivating alfalfa, achieving reductions in greywater footprint, energy for transportation, and carbon footprint. The treated wastewater sources are allocated according to their nitrogen-phosphorus-potassium contents to meet alfalfa requirements while respecting irrigation water standards. Results demonstrate that treated wastewater optimally provides the water and nutrient requirements to both farms. Greywater footprint, energy for transportation, and carbon footprint associated with the growth of 1 ton of alfalfa are found to be -917m3, 70 kWh and -34kg-Co2,eq for Er-rakhiya farm, and -1,770m3, 68 kWh and -18kg-Co2,eq for Wadi Al Araig farm.

Ancient Anthropogenic Clam Gardens of the Northwest Coast Expand Clam Habitat

Clam gardens are ancient mariculture features developed by Indigenous Peoples of the Northwest Coast of North America that create shallow sloping intertidal shelves where clam productivity is enhanced. We quantify the area of clam habitat created by constructing rock-walled clam gardens terraces in northern Quadra Island, British Columbia, Canada. We combined modelling, high-resolution mapping, beach sampling, and a comprehensive survey of the shoreline to document the location and areal extent of clam habitat in clam gardens today. We divided our analysis into three classes of clam gardens, which differ in substrate and thus the amount of clam habitat created. We found that Indigenous People built clam garden walls on 35% of the shoreline and that about 112,979 m2 of flat beach terrace were created by clam garden construction. Collectively, the three classes of clam gardens increased clam habitat area between 26 and 36%. About 35% of the area of clam habitat in clam gardens was constructed de novo on bedrock shelves and rocky slopes where no clam habitat existed previously. Furthermore, about 12.0% of clam gardens are smaller than 30 m2, reflecting the effort put into creating enhanced food production wherever possible. Our analysis demonstrates that clam management in the form of clam gardens was extensive prior to colonization and that these features still have a significant impact on today’s intertidal ecosystems. Clam habitat expansion facilitated by clam garden construction encouraged a sustainable and abundant food source in the past and could do so again in today’s changing environmental conditions.

Variations in Soil Properties and Okra Yield as Influenced by Different Types and Forms of Organic Amendments

The overexploitation of agricultural lands have necessitated the use of fertilizers to enhance food production. However, due to the cost and environmental impacts of mineral fertilizers, the utilization of readily available organic wastes as soil amendments have become necessary. The effect of the sole or combined application of yam, cassava and plantain peels on soil properties was evaluated in an on-farm study conducted at Akufo farm settlement, Ibadan, southwestern Nigeria. The experiment was laid out in a Randomized Complete Block Design with fifteen treatments which consisted of seven amendments (peels of yam (Y), plantain (P), cassava (C), Y+P, Y+C, C+P, Y+C+P) applied in two forms (ground and unground) at a uniform rate of 4 t ha-1 and a control (without amendment). After 3 months of application, the soils were analyzed to determine the effect of the applied treatments on soil properties, after which they were sown to okra. All the amended soils had relatively higher organic carbon, nitrogen, phosphorus and exchangeable bases than the control, but ground treatments performed relatively better than unground ones. Also, irrespective of treatment and form of application, okra yield was considerably improved by the utilized amendments, with ground Y+C recording the highest (14.33 t ha-1). This study showed that the sole or combined use of yam, plantain and cassava peels, either ground as powder or used as mulch, has the potential to improve soil fertility and crop yield and may provide an effective and simple means to utilize organic wastes as soil amendments, especially among poor farmers who cannot afford composting technology.

Creating positive synergies between risk management and transfer to accelerate food system climate resilience

Climate change will significantly impact the future viability and security of food production systems, with increased frequency and intensity of droughts, floods, storms and other extreme climatic events predicted in many regions. In order for food production systems to remain viable and resilient under a changing climate, novel approaches, which integrate risk management (i.e. adaptation) and risk transfer strategies, such as insurance, are required. We argue that the coordinated integration of risk management and risk transfer approaches will support greater resilience of food production systems under climate change. Conversely, if risk management and risk transfer strategies are not carefully integrated, there is potential to undermine adaptive capacity (e.g. insurance subsidies may dissuade farmers from investing in climate adaptation) and ultimately reduce the capacity of food production systems to cope with and recover from the adverse impacts of climate change. Here we propose a resilience-based conceptual framework for integrating risk management and risk transfer strategies along with four key principles, which we believe could underlie their successful integration and thus enhance food production system resilience under climate change. These are as follows: (1) pro-active investments in farmer climate adaptation rather than re-active disaster relief, (2) structuring of government subsidies around insurance and climate disaster relief to incentivise farmer climate adaptation, (3) rewarding farmer efforts towards climate adaptation with cheaper insurance premiums for those farmers that invest resources into climate adaptation and (4) recognising investments in the integration of farm climate adaptation and risk transfer schemes within the broader context of future climate disaster risk management and global food security. Such an integrated investment approach could substantially reduce future economic losses for farmers while also enhancing food security under climate change.