A prospective longitudinal study on the elimination trend of rural cutaneous leishmaniasis in southeastern Iran: Climate change, population displacement, and agricultural transition from 1991 to 2021

Leishmaniasis is a complex disease. Any change in weather conditions affects the humans' social and agricultural expansion and, consequently, the parasite's life cycle in terms of ecology, biodiversity, social stigma, and exclusion. This population-based prospective longitudinal investigation was conducted between 1991 and 2021 in a well-defined CL (cutaneous leishmaniasis) focus in Bam County, southeastern Iran. A robust health clinic and health surveillance system were responsible for the ongoing systematic documentation, detection, identification, and management of CL cases. The exponential smoothing method via the state space model was used in the univariate time series. The TTR, smooth, and forecast packages were used in R software. Landsat satellite images from 1991, 2001, 2011, and 2021 were employed in the physical development. During this period, the temperature increased while the rainfall and humidity decreased. The findings showed a downward trend in the standardized drought index. Also, the results showed that climate warming and ecological changes profoundly affected the area's agricultural patterns and topographical features. Furthermore, the last three decades witnessed an elimination trend for zoonotic CL (ZCL) and the predominance of anthroponotic CL (ACL). The present findings showed that the critical factors in the predominance of ACL and elimination of ZCL were rising temperature, drought, migration, unplanned urbanization, earthquake, and agrarian reform. The wall-enclosed palm tree gardens excluded the primary ZCL reservoir host. They controlled the disease while providing suitable conditions for the emergence/re-emergence of ACL in the newly established settlements and the unplanned ecozone. Therefore, robust health infrastructures, sustained financial support, and evidence-based research studies are crucial to facilitating the necessary surveillance, monitoring, and evaluation to control and eliminate the disease.

BDHusk: A comprehensive dataset of different husk species images as a component of cattle feed from different regions of Bangladesh

This study presents a recently compiled dataset called "BDHusk," which encompasses a wide range of husk images representing eight different husk species as a component of cattle feed sourced from different locales in Sirajganj, Bangladesh. The following are eight husk species: Oryza sativa, Zea mays, Triticum aestivum, Cicer arietinum, Lens culinaris, Glycine max, Lathyrus sativus, and Pisum sativum var. arvense L. Poiret. This dataset consists of a total of 2,400 original images and an additional 9,280 augmented images, all showcasing various husk species. Every single one of the original images was taken with the right backdrop and in enough amount of natural light. Every image was appropriately positioned into its respective subfolder, enabling a wide variety of machine learning and deep learning models to make the most effective use of the images. By utilizing this extensive dataset and employing various machine learning and deep learning techniques, researchers have the potential to achieve significant advancements in the fields of agriculture, food and nutrition science, environmental monitoring, and computer sciences. This dataset allows researchers to improve cattle feeding using data-driven methods. Researchers can improve cattle health and production by improving feed compositions. Furthermore, it not only presents potential for substantial advancements in these fields but also serves as a crucial resource for future research endeavors.

The predictors of social capital in agricultural consultation, technical, and engineering service companies

Social capital is an essential type of capital that influences the growth and development of societies. The present descriptive-survey research aimed to capture CEOs' social capital predictors in the agricultural consultation, technical, and engineering service companies in Fars province, Iran. The CEOs, who amounted to 107 people, all participated in the research. The data collection instrument was a questionnaire whose content and face validity were confirmed by a panel of experts and whose reliability was calculated by Cronbach's alpha at 0.82. Data were analyzed in the SPSS22 software package. Based on data analysis, eight social capital items were derived and prioritized. They included social participation, social proactivity, social trust, neighborhood connections, friends and family connections, capacity to accept differences, appreciation of life, and work connections. Based on the ranking of these elements, social proactivity, work connections, and friends and family connections were ranked first to third, respectively. Also, step-by-step multiple regression analysis revealed that the three variables of the feeling of job security, investment, and media were the independent variables that accounted for the CEO's social capital. Programs provided by the media should focus on promoting people's social solidarity. Some investment must be made by these companies in social activities and encouragement of the target community's participation and trust. The success of the agricultural consultation, technical, and engineering service companies is based on the principles of specialty, trust, participation, and social solidarity, showing the existence of social capital in these companies. Therefore, social capital and factors that predict it influence the productivity and efficiency of the companies.

Impact of credit access on farm performance: Does source of credit matter?

Access to credit is crucial to improve farm performance as it allows farmers to procure inputs and technology. However, on the empirical front, evidence of the impact of agricultural credit access remains scanty. This study examines how access to credit from formal and informal sources influences the productivity and technical efficiency of maize farming in ten major maize-producing provinces in Indonesia. Secondary Food Crops Survey data by Statistics Indonesia were employed and analyzed using a quasi-experimental approach, i.e., the propensity score matching (PSM). The estimation shows that agricultural credit access improves farm performance. In fact, the ability to obtain credit from institutions increased productivity and technical efficiency more effectively than from informal sources. This study suggests that agricultural credit access remains relevant in Indonesia and needs to be improved continuously.

Decoupling relationship between greenhouse gas emissions from cropland utilization and crop yield in China: implications for green agricultural development

Developing low-carbon utilization of cropland is critical to coordinate agricultural production and environmental protection. Based on a theoretical analysis of greenhouse gas (GHG) emissions and crop production, this study examined the GHG emissions from cropland utilization in China and the decoupling process from crop yields with consideration of different sources and then explored the driving factors in different regions. The results showed that the GHG emissions from cropland utilization in China rose first and then fell between 2003 and 2020, and the decoupling process has undergone three stages, namely "expansive coupling", "weak decoupling", and "strong decoupling". And the eastern and southern provinces are relatively ahead of the western and northwestern provinces. Additionally, crop yields have been basically decoupled from GHG emissions caused by agricultural inputs, but they were still not decoupled from GHG emissions from cropland in Northeastern and Northern China. Among the influencing factors, utilization efficiency has promoted the decoupling progress, the input structure has played a promoting role in the early stage and hindered it later, and the input intensity and the scale have worked as hindering factors. Policy implications have been proposed to support the sustainable development of agriculture.

Can a gender-sensitive integrated poultry value chain and nutrition intervention increase women's empowerment among the rural poor in Burkina Faso?

Understanding the types of food systems interventions that foster women's empowerment and the types of women that are able to benefit from different interventions is important for development policy. SELEVER was a gender- and nutrition-sensitive poultry production intervention implemented in western Burkina Faso from 2017 to 2020 that aimed to empower women. We evaluated SELEVER using a mixed-methods cluster-randomized controlled trial, which included survey data from 1763 households at baseline and endline and a sub-sample for two interim lean season surveys. We used the multidimensional project-level Women's Empowerment in Agriculture Index (pro-WEAI), which consists of 12 binary indicators, underlying count versions of 10 of these, an aggregate empowerment score (continuous) and a binary aggregate empowerment indicator, all for women and men. Women's and men's scores were compared to assess gender parity. We also assessed impacts on health and nutrition agency using the pro-WEAI health and nutrition module. We estimated program impact using analysis of covariance (ANCOVA) models and examined whether there were differential impacts by flock size or among those who participated in program activities (treatment on the treated). Program impacts on empowerment and gender parity were null, despite the program's multipronged and gender-sensitive approach. Meanwhile, results of the in-depth gender-focused qualitative work conducted near the project mid-point found there was greater awareness in the community of women's time burden and their economic contributions, but it did not seem that awareness led to increased empowerment of women. We reflect on possible explanations for the null findings. One notable explanation may be the lack of a productive asset transfer, which have previously been shown to be essential, but not sufficient, for the empowerment of women in agricultural development programs. We consider these findings in light of current debates on asset transfers. Unfortunately, null impacts on women's empowerment are not uncommon, and it is important to learn from such findings to strengthen future program design and delivery.

Assessing agro-environmental sustainability of intensive agricultural systems

Sustainable production in water-scarce regions entails not to overshoot the sustainable blue water availability (BWA), which in turn requires addressing environmental flow requirements (EFRs). We explored the long-term effects of agricultural development, before (1984-1997) and during (1998-2018) the operation of the modern irrigation and drainage network of Tajan (TIDN), northern Iran, on the sustainability of blue water consumptions. A combination of different methods were applied to estimate hydrological EFRs of rivers, ab-bandans (traditional water reservoirs), and groundwater resources. Three major pollutants in the region's water resources, including nitrogen, phosphorus, and salinity, were used to estimate water quality EFR. Monthly agriculture water footprints (WFs) were calculated using the AquaCrop model, and then were compared with the region's BWA, which was calculated by subtracting monthly EFRs from monthly natural runoff. When WF exceeded BWA, the production system includes unsustainable water consumption. The EFR satisfaction of surface water decreased after TIDN operation by about 19%. Unmanaged nitrogen application and post-TIDN overexploitation of groundwater resulted in substantial increase in groundwater EFR violation. The TIDN led to more water consuming cropping pattern resulting in increased agricultural water consumption by about 73%. Overall, agricultural development in TIDN was beyond the capacity of the area, which resulted in up to about 167 MCM y^-1 unsustainable blue water consumption. Based on the results, the new framework presented for assessing agro-environmental sustainability could assist managers and policy makers to modify agricultural systems according to environment resilience.

Revisiting the energy-economy-environment relationships for attaining environmental sustainability: evidence from Belt and Road Initiative countries

The Belt and Road Initiative (BRI) is an ambitious development project initiated by the Chinese government to foster economic progress worldwide. In this regard, this study aims to investigate the dynamics of energy, economy, and environment among 42 BRI developing countries using an annual frequency panel dataset from 1995 to 2019. The major findings from the econometric analyses revealed that higher levels of energy consumption, economic growth, population growth rate, and FDI inflows exhibit adverse environmental consequences by boosting the CO₂ emission figures of the selected developing BRI member nations. However, it is interesting to observe that exploiting renewable energy sources, which are relatively cleaner compared to the traditionally-consumed fossil fuels, and fostering agricultural sector development can significantly improve environmental well-being by curbing the emission levels further. On the other hand, financial development is found to be ineffective in explaining the variations in the CO₂ emission figures of the selected countries. Besides, the causality analysis shows that higher energy consumption, FDI inflows, and agricultural development cause environmental pollution by boosting CO₂ emissions. However, economic growth, technology development, financial progress, and renewable energy consumption are evidenced to exhibit bidirectional causal associations with CO₂ emissions. In line with these findings, several relevant policies can be recommended for the BRI to be environmentally sustainable.

Spatial differentiation identification of influencing factors of agricultural carbon productivity at city level in Taihu lake basin, China

Improving carbon productivity is the main way to deal with climate change under China's targets for carbon emissions to peak by 2030 and carbon neutrality by 2060. This study identified the spatial differentiation of influencing factors of agricultural carbon productivity at the city level in Taihu lake basin, and formed differentiated agricultural management strategies. The results show that: (1) Spatial differentiation of agricultural carbon productivity is obvious at city level. It can be divided into three echelons: the first echelon is Shanghai and Hangzhou (agricultural carbon productivity≥10,000 Yuan/t in 2019 with a growth rate ≥ 600% compared with 1992), the second echelon is Suzhou, Wuxi and Changzhou (9000 Yuan/t ≤ agricultural carbon productivity<10,000 Yuan/t in 2019 with 381% ≤ growth rate < 600% compared with 1992), and the third echelon is Zhenjiang, Huzhou and Jiaxing (agricultural carbon productivity<9000 Yuan/t in 2019 or a growth rate < 381% compared with 1992). (2) There is a synergetic evolution law between agricultural carbon productivity and agricultural economy, that is, agricultural economic development level is the first factor affecting agricultural carbon productivity, whether in the whole basin or in the city level. (3) There are significant differences in the influencing factors of agricultural carbon productivity at the city level. Finally, according to the spatial differentiation characteristics of influencing factors of agricultural carbon productivity at the city level in Taihu lake basin, we put forward different emphases of agricultural development in different cities.

Investigation of animal health and husbandry practices in smallholder pig production systems in Timor-Leste

Enhanced pig productivity on smallholder farms is recognised as a necessary strategy to enhance financial and food security in Timor-Leste where poverty and malnutrition are abundant. While poor pig health is recognised as a main constraint, information on pig herd health and management have not been thoroughly quantified. This study surveyed 120 pig owners (63 were female) and 352 of their pigs in Bacau and Bobonaro municipalities in 2018 to develop baseline information. Our analysis investigated three management systems among surveyed pig owners: confined management, characterised by permanent penning and/or tethering pigs (33.6%), semi-confined management (39.7%) and free-roaming management (27.7%). Free-roaming management was only observed in non-urban villages. Most inputs were limited across all management types with heavy reliance on cooked household scraps to feed pigs (84.7%), limited use of commercial feeds (5.1%), a lack of routine pen cleaning (73.8%), a lack of vaccination against classical swine fever (72.9%), limited use of para-veterinary services when pigs were sick (71.7%), and low treatment rates for pig skin diseases (10.3%) and intestinal parasites (8.7%). A high use of uncontrolled breeding (79.1%) was identified, accompanied by a limited knowledge of oestrus (20.7%) and gestation length (24.1%). Low output was observed with animals mainly sold when money is needed or when they were old. There was poor health with high piglet mortality rate (22.4-24.4%), moderate rates of current illness (22.4%), common occurrence of mites (12.2%), and high faecal presence of A. suum (29.0%), T. suis (10.2%), and S. ransomi (22.7%). To overcome the widespread constraints to productivity affecting all management systems, and to limit the impacts of highly infectious and often fatal African swine fever which was first reported in Timor-Leste pigs in September 2019, improved animal health and veterinary support, and education on pig management and suitable available nutrition sources are needed.

Challenges for food security and safety: a qualitative study in an agriculture supply chain company in Iran

Background

Food supply chain companies are major link for safe food production and distribution. Food safety ensures reduced food losses and, therefore, contributes to food security. Although there have been extensive studies on the food industry with different perspectives, no study has so far been conducted on the challenges in terms of the food security. The present study is a qualitative one conducted in 2019 in one of the largest agricultural production chain companies in Khorasan Razavi province, Iran.

Results

The research method was based on the conventional content analysis. Triangulation method was used for the data collection being a combination of the participant observations, focus group discussions (17 managers) and semi-structured interviews with the president of the company. Participants believed that their company plays an important role and has a prestigious position in the food security of Iran. However, the main challenges of the company are regulatory system, food safety risks, market unpredictability, traditional management and sanctions.

Conclusions

The company is highly resilient to all these challenges; however, the traditional management is still a serious disadvantage. This leads to the managers’ burnout along with the company survival problem, removing unfair sanctions and protecting agricultural development in developing countries is a necessity. In general, paying attention to the modern organizational management of these companies and their survival is an essential policy. For this reason, it is suggested that trust must be established between policymakers and companies on one hand and relationship between the academia and such companies to promote the organizational management on the other hand.

Does agricultural development induce environmental pollution in E7? A myth or reality

Environmental degradation caused by various human activities has been a subject of attention over the globe. There is a concern on how to maintain a clean environment and at the same time achieve optimum production of food and non-food products amidst global energy demand. To this end, this study examines the impact of agricultural development, energy use, and economic growth on CO₂ emissions in the emerging seven countries that comprises China, India, Brazil, Mexico, Russia, Indonesia, and Turkey for the annual time frequency from 1990 to 2016. The study uses a battery of econometrics techniques for soundness of analysis the consist of pooled mean group autoregressive distributed lag methodology, dynamic ordinary least squares, and fully modified ordinary least squares as estimation techniques alongside Dumitrescu and Hurlin causality test for the direction of causality analysis. Empirical results revealed that value-added agriculture and economic growth are drivers of CO₂ emission in the E7 countries, and the rise in renewable energy causes a reduction in CO₂ emissions, while in the short run, economic growth has a positive impact on emissions in the focus countries. Causality analysis shows that there is a feedback causality between economic growth and emissions, between value-added agriculture and energy usage, between emission and value-added agriculture, and between economic growth and agricultural development. Furthermore, energy use does not cause emissions directly; it causes economic growth and value-added agriculture which causes emissions. This position aligns with the advocacy of the United Nations Sustainable Development Goal (UN-SDG) Targets 7 and 13 of clean energy access and mitigation of climate changes issues.

"Chicken dumping": Motivations and perceptions in shifting poultry production practices

Non-governmental organizations (NGOs) often implement overseas development aid through intensive small-scale animal agriculture to alleviate food insecurity in low- and middle-income countries. Intensive animal farming can pose unclear outcomes to households engaged in the practice because of the reliance on industrial animal breeds that are reared with antibiotics and raised in higher densities compared to traditional scavenging husbandry systems. As a result, intensive small-scale farming operations that lack proper infrastructure, training, and financial resources could facilitate the spread of antimicrobial resistance and infectious diseases. We applied a mixed-methods framework towards analyzing the effectiveness of small-scale broiler chicken farming in northern Ecuador. First, from May 2016 – May 2017, our observational surveys indicated that intensive small-scale poultry farming follows a boom-and-bust cycle that is extremely vulnerable to environmental stressors. Second, in May 2016, we followed a cohort of households enrolled in a poultry development project led by an NGO. We observed a substantial decline in chicken survivorship from Survey period 1 to 2 (mean chicken count decrease from 50 to 35 corresponding to a 70% survivorship) and from Survey period 2 to 3 (mean chicken count decrease from 35 to 20.3 corresponding to a 58% survivorship). Heads of households were self-reporting broiler chicken survivorship substantially higher than our recorded observations during survey period two (46 compared to 35 respectively) and three (44.3 compared to 20.3 respectively). We speculate that if households continue to inaccurately report poultry demographics, then it could perpetuate a negative feedback loop where NGOs continue to conduct the same intervention practices without receiving accurate outcome metrics. Third, we used semi-structured questionnaires to determine that access to financial resources was the major motivation for determining when to farm broiler chickens. Intensive small-scale poultry farming can be unreliable and disease-enhancing, yet also associated with dubious self-reports of success.

Understanding female and male empowerment in Burkina Faso using the project-level Women's Empowerment in Agriculture Index (pro-WEAI): a longitudinal study

BACKGROUND

Achieving gender equality and women's empowerment is a major global priority. The purpose of this study was to determine whether the Building the Resilience of Vulnerable Communities in Burkina Faso (BRB) project, an agricultural development program, improved women's empowerment, as measured by the project-level Women's Empowerment in Agriculture Index (pro-WEAI).

METHODS

This study used a longitudinal, quasi-experimental study design. Participants included both treatment and comparison groups (total N = 751) comprising female members of savings groups and their husbands or main male household member in Burkina Faso. All participants completed the pro-WEAI questionnaire at both baseline and endline. The treatment group received a comprehensive intervention package consisting of agriculture loans and services, microenterprise loans, and education, nutrition education, and women's empowerment programs including gender-based discussions designed to facilitate personalized changes in gender relations.

RESULTS

The proportion of the treatment group achieving empowerment did not change from baseline for women, but improved substantially for men. Women from the comparison group saw an increase in empowerment at endline while men saw a substantial decrease. Gender parity was high for women in both groups at baseline and increased slightly at endline. Women were more likely to have adequate empowerment in input in productive decisions, group membership, and membership in influential groups than men while men were more likely to have adequate empowerment in attitudes about domestic violence, control over use of income, and work balance than women. Participants from the treatment group reported an increase in the average number of empowerment indicators that they were adequate in while the comparison group saw a decrease in average adequacy over time (p = 0.002) after controlling for age, sex, and level of education.

CONCLUSION

Despite starting at an empowerment disadvantage, the treatment group experienced gains in individual indicators of empowerment while the comparison group men and women experienced mixed results, with the women gaining, and the men losing empowerment. This research suggests that the BRB intervention may have provided some protection for the treatment group when they faced an economic down-turn prior to the endline, indicative of household resilience. Future research should consider and strengthen relationships between resilience and empowerment.

Malaria in migrant agricultural workers in western Ethiopia: entomological assessment of malaria transmission risk

BACKGROUND

Ethiopia has made great strides in malaria control over the last two decades. However, this progress has not been uniform and one concern has been reported high rates of malaria transmission in large agricultural development areas in western Ethiopia. Improved vector control is one way this transmission might be addressed, but little is known about malaria vectors in this part of the country.

METHODS

To better understand the vector species involved in malaria transmission and their behaviour, human landing collections were conducted in Dangur woreda, Benishangul-Gumuz, between July and December 2017. This period encompasses the months with the highest rain and the peak mosquito population. Mosquitoes were identified to species and tested for the presence of Plasmodium sporozoites.

RESULTS

The predominant species of the Anopheles collected was Anopheles arabiensis (1,733; i.e. 61.3 % of the entire Anopheles), which was also the only species identified with sporozoites (Plasmodium falciparum and Plasmodium vivax). Anopheles arabiensis was collected as early in the evening as 18:00 h-19:00 h, and host-seeking continued until 5:00 h-6:00 h. Nearly equal numbers were collected indoors and outdoors. The calculated entomological inoculation rate for An. arabiensis for the study period was 1.41 infectious bites per month. More An. arabiensis were collected inside and outside worker's shelters than in fields where workers were working at night.

CONCLUSIONS

Anopheles arabiensis is likely to be the primary vector of malaria in the agricultural development areas studied. High rates of human biting took place inside and outdoor near workers' residential housing. Improved and targeted vector control in this area might considerably reduce malaria transmission.

Assessing socio-environmental sustainability at the level of irrigation and drainage network

Assessing pre- vs. post environmental and social effects of present irrigation projects is vital to provide sustainable socio-environmental roadmaps for the upcoming similar development projects. Such sustainability was assessed for the first time in the present study at a 20- year old irrigation and drainage network (TIDN) area in the north of Iran covering about 70 thousands ha. A 32- year period data on groundwater level and surface- and groundwater quality as well as data on harvested area and crop production was analyzed to evaluate environmental sustainability. Inverse distance weighting (IDW) method was used to prepare the zoning maps and to analyze the descriptive data. Social response to the TIDN was assessed using a cross-sectional survey through completing a questionnaire. The raw data obtained from the questionnaires were analyzed using SPSS software. During the operation of the TIDN, the cropping area increased gradually from about 34,000 ha to about 53,000 ha. In this period, the average yield of early- and late- matured rice (Oryza sativa L.) varieties, predominant crops grown in the area, increased steadily from about 5300 to 6700 kg ha^-1. Groundwater table depth declined gradually with an annual reduction of 7.5 cm mainly due to agricultural intensification. Groundwater quality parameters such as electrical conductivity, total dissolved solids, sodium, chloride, bicarbonate and magnesium decreased substantially especially in the semi- deep wells, while nitrate concentration showed a little increase without human effects. The TIDN project improved rural sustainability, hope feeling, security feeling, tourism development, cultural development, trust, social solidarity, social participation and life quality. The results indicate that similar comprehensive analyses can provide an important contribution to assess socio- environmental sustainability in irrigated catchments.

Drudgery reduction, physical activity and energy requirements in rural livelihoods

Low and middle-income countries in Asia and Africa have been witnessing a process of rural transformation, characterised by rising agricultural productivity, commercialisation of agriculture, improved infrastructure and access to services, over several decades. However, there is little empirical evidence on how this transformation process has affected the patterns and intensity of physical activity and time use in rural livelihoods. The lack of empirical evidence can be attributed to the constraints in accurate measurement of physical activity and energy expenditure in the context of free-living populations. Using wearable accelerometry devices, we develop robust energy expenditure profiles for men and women in rural households for two case studies in India and Ghana. An innovative feature of this study is the integration of data on energy expenditure (derived from accelerometers) with data on time-use, which has hitherto not been feasible in observational studies of rural populations. Using the data on physical activity, energy expenditure and time use from the case studies, we examine the impact of drudgery reduction- the substitution of less intense for more intense activities - on energy requirements for men and women in rural households. Our results show that drudgery reduction can have large effects on human energy (calorie) requirements, with an hour of drudgery reduction reducing energy requirements by 11-22 % for men and 13-17 % for women in Ghana and India. There are significant gender differences in energy expenditure patterns and drudgery reduction effects vary by socio-demographic characteristics and endowments of households. Our results suggest that drudgery reduction can offer rural households an important route to improved nutritional status. At the same time, drudgery reduction can lead to increased incidence of overweight and obesity for some segments of the population. The design of development interventions needs to explicitly consider the effects on nutrition and well-being through the energy expenditure dimension.

Pursuing agricultural development for smallholder farmers in marginal areas of Ghana

Many smallholder farmers in developing countries grow multiple crop species on their farms, maintaining de facto crop diversity. Rarely do agricultural development strategies consider this crop diversity as an entry point for fostering agricultural innovation. This paper presents a case study, from an agricultural research-for-development project in northern Ghana, which examines the relationship between crop diversity and self-consumption of food crops, and cash income from crops sold by smallholder farmers in the target areas. By testing the presence and direction of these relationships, it is possible to assess whether smallholder farmers may benefit more from a diversification or a specialization agricultural development strategy for improving their livelihoods. Based on a household survey of 637 randomly selected households, we calculated crop diversity as well as its contribution to self-consumption (measured as imputed monetary value) and to cash income for each household. With these data we estimated a system of three simultaneous equations. Results show that households maintained high levels of crop diversity: up to eight crops grown, with an-average of 3.2 per household, and with less than 5% having a null or very low level of crop diversity. The value of crop species used for self-consumption was on average 55% higher than that of crop sales. Regression results show that crop diversity is positively associated with self-consumption of food crops, and cash income from crops sold. This finding suggests that increasing crop diversity opens market opportunities for households, while still contributing to self-consumption. Given these findings, crop diversification seems to be more beneficial to these farmers than specialization. For these diversified farmers, or others in similar contexts, interventions that assess and build on their de facto crop diversity are probably more likely to be successful.

Measurement properties of the project-level Women's Empowerment in Agriculture Index

Women's empowerment is a process that includes increases in intrinsic agency (power within); instrumental agency (power to); and collective agency (power with). We used baseline data from two studies-Targeting and Realigning Agriculture for Improved Nutrition (TRAIN) in Bangladesh and Building Resilience in Burkina Faso (BRB)-to assess the measurement properties of survey questions operationalizing selected dimensions of intrinsic, instrumental, and collective agency in the project-level Women's Empowerment in Agricultural Index (pro-WEAI). We applied unidimensional item-response models to question (item) sets to assess their measurement properties, and when possible, their cross-context measurement equivalence-a requirement of measures designed for cross-group comparisons. For intrinsic agency in the right to bodily integrity, measured with five attitudinal questions about intimate partner violence (IPV) against women, model assumptions of unidimensionality and local independence were met. Four items showed good model fit and measurement equivalence across TRAIN and BRB. For item sets designed to capture autonomy in income, intrinsic agency in livelihoods activities, and instrumental agency in: livelihoods activities, the sale or use of outputs, the use of income, and borrowing from financial services, model assumptions were not met, model fit was poor, and items generally were weakly related to the latent (unobserved) agency construct. For intrinsic and instrumental agency in livelihoods activities and for instrumental agency in the sale or use of outputs and in the use of income, items sets had similar precision along the latent-agency continuum, suggesting that similar item sets could be dropped without a loss of precision. IRT models for collective agency were not estimable because of low reported presence and membership in community groups. This analysis demonstrates the use of IRT methods to assess the measurement properties of item sets in pro-WEAI, and empowerment scales generally. Findings suggest that a shorter version of pro-WEAI can be developed that will improve its measurement properties. We recommend revisions to the pro-WEAI questionnaire and call for new measures of women's collective agency.

Development of the project-level Women's Empowerment in Agriculture Index (pro-WEAI)

With growing commitment to women's empowerment by agricultural development agencies, sound methods and indicators to measure women's empowerment are needed to learn which types of projects or project-implementation strategies do and do not work to empower women. The Women's Empowerment in Agriculture Index (WEAI), which has been widely used, requires adaptation to meet the need for monitoring projects and assessing their impacts. In this paper, the authors describe the adaptation and validation of a project-level WEAI (or pro-WEAI) that agricultural development projects can use to identify key areas of women's (and men's) disempowerment, design appropriate strategies to address identified deficiencies, and monitor project outcomes related to women's empowerment. The 12 pro-WEAI indicators are mapped to three domains: intrinsic agency (power within), instrumental agency (power to), and collective agency (power with). A gender parity index compares the empowerment scores of men and women in the same household. The authors describe the development of pro-WEAI, including: (1) pro-WEAI's distinctiveness from other versions of the WEAI; (2) the process of piloting pro-WEAI in 13 agricultural development projects during the Gender, Agriculture, and Assets Project, phase 2 (GAAP2); (3) analysis of quantitative data from the GAAP2 projects, including intrahousehold patterns of empowerment/disempowerment; and (4) a summary of the findings from the qualitative work exploring concepts of women's empowerment in the project sites. The paper concludes with a discussion of lessons learned from pro-WEAI and possibilities for further development of empowerment metrics.

Financing Agriculture in Nigeria through Agricultural Extension Services of Agricultural Development Programmes (ADPs)

The ADPs were designed in response to a fall in agricultural productivity and hence a concern to sustain domestic food supplies. The study examined "Financing Agriculture in Nigeria through Agricultural Extension Services of Agricultural Development Programmes." It sought to ascertain the extent to which agricultural extension services of the agricultural development programmes have impacted the financing of agriculture in six selected local government areas in Edo South senatorial district, Nigeria using a sample of 120 respondents. Stratified random sampling was used to select the respondents. Interview schedule served as the research instrument. The research data were analyzed using t-test and Pearson correlation, which served as the inferential statistics. The research findings showed that the extension services of ADP have impacted significantly on crop development in the selected communities but have not had significant impact on employment creation and the development of infrastructural facilities. The study also revealed that there was no significant difference between the implementation of the projects in the selected communities, as revealed by the correlation test. On the basis of the research findings, the need for a complete redesign of the project to ensure that it achieves its stated goals as well as ensure proper monitoring of its implementation were suggested, among others.

Financing Agriculture in Nigeria through Agricultural Extension Services of Agricultural Development Programmes (ADPs)

The ADPs were designed in response to a fall in agricultural productivity and hence a concern to sustain domestic food supplies. The study examined "Financing Agriculture in Nigeria through Agricultural Extension Services of Agricultural Development Programmes." It sought to ascertain the extent to which agricultural extension services of the agricultural development programmes have impacted the financing of agriculture in six selected local government areas in Edo South senatorial district, Nigeria using a sample of 120 respondents. Stratified random sampling was used to select the respondents. Interview schedule served as the research instrument. The research data were analyzed using t-test and Pearson correlation, which served as the inferential statistics. The research findings showed that the extension services of ADP have impacted significantly on crop development in the selected communities but have not had significant impact on employment creation and the development of infrastructural facilities. The study also revealed that there was no significant difference between the implementation of the projects in the selected communities, as revealed by the correlation test. On the basis of the research findings, the need for a complete redesign of the project to ensure that it achieves its stated goals as well as ensure proper monitoring of its implementation were suggested, among others.

Financing Agriculture in Nigeria through Agricultural Extension Services of Agricultural Development Programmes (ADPs)

The ADPs were designed in response to a fall in agricultural productivity and hence a concern to sustain domestic food supplies. The study examined "Financing Agriculture in Nigeria through Agricultural Extension Services of Agricultural Development Programmes." It sought to ascertain the extent to which agricultural extension services of the agricultural development programmes have impacted the financing of agriculture in six selected local government areas in Edo South senatorial district, Nigeria using a sample of 120 respondents. Stratified random sampling was used to select the respondents. Interview schedule served as the research instrument. The research data were analyzed using t-test and Pearson correlation, which served as the inferential statistics. The research findings showed that the extension services of ADP have impacted significantly on crop development in the selected communities but have not had significant impact on employment creation and the development of infrastructural facilities. The study also revealed that there was no significant difference between the implementation of the projects in the selected communities, as revealed by the correlation test. On the basis of the research findings, the need for a complete redesign of the project to ensure that it achieves its stated goals as well as ensure proper monitoring of its implementation were suggested, among others.

Attitudes of Agricultural Experts Toward Genetically Modified Crops: A Case Study in Southwest Iran

The production of genetically modified (GM) crops is growing around the world, and with it possible opportunities to combat food insecurity and hunger, as well as solutions to current problems facing conventional agriculture. In this regard the use of GMOs in food and agricultural applications has increased greatly over the past decade. However, the development of GM crops has been a matter of considerable interest and worldwide public controversy. This, in addition to skepticism, has stifled the use of this practice on a large scale in many areas, including Iran. It stands to reason that a greater understanding of this practice could be formed after a review of the existing expert opinions surrounding GM crops. Therefore, the purpose of this study was to analyze the predictors that influence agricultural experts' attitudes toward the development of and policies related to GM crops. Using a descriptive correlational research method, questionnaire data was collected from 65 experts from the Agricultural Organization in the Gotvand district in Southwest Iran. Results indicated that agricultural experts were aware of the environmental benefits and possible risks associated with GM crops. The majority of participants agreed that GM crops could improve food security and accelerate rural development, and were proponents of labeling practices for GM crops. Finally, there was a positive correlation between the perception of benefits and attitudes towards GM crops.

Temporal-spatial loss of diffuse pesticide and potential risks for water quality in China

Increasing amount of pesticide has been used in Chinese agricultural system with effects on environmental quality and human health. The comprehensive inventory of pesticide use in six main crop categories over the period from 1990 to 2011 in China was conducted. The national average pesticide use intensity was estimated 1.74k g · ha(-1) for grain crops in paddy land, 1.31 kg · ha(-1) for grain crops in dry land, 1.38 kg · ha(-1) for economic crops, 3.82 kg · ha(-1) for vegetables, 1.54 kg · ha(-1) for tea plantations, and 3.49 kg · ha(-1) for orchards. The pesticide use was estimated to be approximately 5.24 × 10(4)t for grain crops in paddy land, 1.05 × 10(5)t for grain crops in dry land, 3.08 × 10(4)t for economic crops, 7.51 × 10(4)t for vegetables, 3.26 × 10(3)t for tea plantations, and 4.13 × 10(4)t for orchards. Based on the pesticide use and loss coefficients for each category, the distribution of pesticide loss in China was calculated. Total pesticide loss in China was estimated about 4.39 × 10(3)t in 2011. The pesticide loss from six main crop categories was about 14.84% for grain crops in paddy land of total pesticide loss, 33.31% for grain crops in dry land, 10.47% for economic crops, 26.37% for vegetables, 1.08% for tea plantations and 13.93% for orchards. The results indicated that the highest pesticide use intensity and highest pesticide loss rate occurred in China's eastern and central provinces. The Monte Carlo simulation was used to quantify the uncertainties associated with estimation of pesticide use and loss rate for the six types of crops. The potential risk to national water quality was assessed and the water in the provinces of Henan, Shandong, Hebei, Beijing and Shanghai was at high risk for pesticide pollution. The implication for the future agricultural and environmental policies on reducing the risk to environmental quality was also summarized.

Anthropogenic impact on diffuse trace metal accumulation in river sediments from agricultural reclamation areas with geochemical and isotopic approaches

A better understanding of anthropogenic impact can help assess the diffuse trace metal accumulation in the agricultural environment. In this study, both river sediments and background soils were collected from a case study area in Northeast China and analyzed for total concentrations of six trace metals, four major elements and three lead isotopes. Results showed that Pb, Cd, Cu, Zn, Cr and Ni have accumulated in the river sediments after about 40 years of agricultural development, with average concentrations 1.23-1.71 times higher than local soil background values. Among them Ni, Cr and Cu were of special concern and they may pose adverse biological effects. By calculating enrichment factor (EF), it was found that the trace metal accumulation was still mainly ascribed to natural weathering processes, but anthropogenic contribution could represent up to 40.09% of total sediment content. For Pb, geochemical and isotopic approaches gave very similar anthropogenic contributions. Principal component analysis (PCA) further suggested that the anthropogenic Pb, Cu, Cr and Ni inputs were mostly related to the regional atmospheric deposition of industrial emissions and gasoline combustion, which had a strong affinity for iron oxides in the sediments. Concerning Cd, however, it mainly originated from local fertilizer applications and was controlled by sediment carbonates.

Planning of water resources management and pollution control for Heshui River watershed, China: A full credibility-constrained programming approach

A key issue facing integrated water resources management and water pollution control is to address the vague parametric information. A full credibility-based chance-constrained programming (FCCP) method is thus developed by introducing the new concept of credibility into the modeling framework. FCCP can deal with fuzzy parameters appearing concurrently in the objective and both sides of the constraints of the model, but also provide a credibility level indicating how much confidence one can believe the optimal modeling solutions. The method is applied to Heshui River watershed in the south-central China for demonstration. Results from the case study showed that groundwater would make up for the water shortage in terms of the shrinking surface water and rising water demand, and the optimized total pumpage of groundwater from both alluvial and karst aquifers would exceed 90% of its maximum allowable levels when credibility level is higher than or equal to 0.9. It is also indicated that an increase in credibility level would induce a reduction in cost for surface water acquisition, a rise in cost from groundwater withdrawal, and negligible variation in cost for water pollution control.