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We utilize a coupled economy-agroecology-hydrology modeling framework to capture the cascading impacts of climate change mitigation policy on agriculture and the resulting water quality cobenefits. We analyze a policy that assigns a range of United States government's social cost of carbon estimates ($51, $76, and $152/ton of CO2-equivalents) to fossil fuel-based CO2 emissions. This policy raises energy costs and, importantly for agriculture, boosts the price of nitrogen fertilizer production. At the highest carbon price, US carbon emissions are reduced by about 50%, and nitrogen fertilizer prices rise by about 90%, leading to an approximate 15% reduction in fertilizer applications for corn production across the Mississippi River Basin. Corn and soybean production declines by about 7%, increasing crop prices by 6%, while nitrate leaching declines by about 10%. Simulated nitrate export to the Gulf of Mexico decreases by 8%, ultimately shrinking the average midsummer area of the Gulf of Mexico hypoxic area by 3% and hypoxic volume by 4%. We also consider the additional benefits of restored wetlands to mitigate nitrogen loading to reduce hypoxia in the Gulf of Mexico and find a targeted wetland restoration scenario approximately doubles the effect of a low to moderate social cost of carbon. Wetland restoration alone exhibited spillover effects that increased nitrate leaching in other parts of the basin which were mitigated with the inclusion of the carbon policy. We conclude that a national climate policy aimed at reducing greenhouse gas emissions in the United States would have important water quality cobenefits.

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Crop rotation and rhizobial inoculation are strategies to increase yield by means of organic matter addition and modulation of microbial diversity. However, the extent to which these agricultural practices change soil Bradyrhizobium populations, soybean grain yield, and economic benefits to farmers is unclear. Thus, this study aimed to evaluate the interaction between crop rotation and inoculation of soybean (Glycine max) cultivated in two contrasting soils (clayey and sandy soil) on biological nitrogen fixation components, grain yields, and profits. Field experiments with a three-year crop rotation system were carried out to compare effects of inoculation and crop rotations on soil chemical attributes, bradyrhizobia most probable number (MPN) and diversity, soybean nodulation, grain yield, and economic indicators of inoculation in different crop rotations. The crop rotation did not affect the soil MPN cells of bradyrhizobia, but the inoculation and the soil sampling time did, ranging from 3.61-4.42 to 4.40-4.82 in the sandy soil, while in the clayey soil they were from 5.19-6.34 to 6.61-7.14 in Log10 per g of soil with higher population after harvest of summer crops. In the clayey soil, crop rotation influenced soybean nodulation. The grain yield of inoculated soybean in the clayey soil was higher than that in the sandy soil. Soybean inoculation with Bradyrhizobium spp. increased the profitability of agricultural production systems by up to 45% in clayey soil and up to 7% in sandy soil.

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Highly productive agriculture is essential to feed humanity, but agricultural practices often harm human health and the environment. Using a nitrogen (N) mass-balance model to account for N inputs and losses to the environment, along with empirical based models of yield response, we estimate the potential gains to society from improvements in nitrogen management that could reduce health and environmental costs from maize grown in the US Midwest. We find that the monetized health and environmental costs to society of current maize nitrogen management practices are six times larger than the profits earned by farmers. Air emissions of ammonia from application of synthetic fertilizer and manure are the largest source of pollution costs. We show that it is possible to reduce these costs by 85% ($21.6 billion per year, 2020$) while simultaneously increasing farmer profits. These gains come from (i) managing fertilizer ammonia emissions by changing the mix of fertilizer and manure applied, (ii) improving production efficiency by reducing fertilization rates, and (iii) halting maize production on land where health and environmental costs exceed farmer profits, namely on low-productivity land and locations in which emissions are especially harmful. Reducing ammonia emissions from changing fertilizer types-in (i)-reduces health and environmental costs by 46% ($11.7 billion). Reducing fertilization rates-in (ii)-limits nitrous oxide emissions, further reducing health and environmental costs by $9.5 billion, and halting production on 16% of maize-growing land in the Midwest-in (iii)-reduces costs by an additional $0.4 billion.

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The objective of this article is to evaluate economic profits along with return on investment and also the impact of newly designed agri-environmental measures (AEM) on the presence of bioindicator species-European hare and roe deer-in comparison to conventionally cultivated agricultural land. The abundance of European hare was, on average, 4.5-6.7 times higher on AEM compared to the standard agricultural regime and 3.5-6.4 times higher in the case of roe deer in 2020 and 2021. From an economic point of view, the highest incomes were found for extensive orchard alleys and standard conventional crops-wheat and rapeseed rotation. The cash flow from extensive orchard was 4.3 times larger and wheat and rapeseed were 3.5 times larger than from the clover grass mixture. Moreover, the lowest value of operational expenses was found in the case of extensive orchard alleys. The payback period ranged from 16.02 years (wheat and rapeseed rotation) to 53.6 years (clover grass mixture). It is crucial not to assess the economic parameters separately but optimize them with sustainable wildlife management and other benefits that provide ecological and efficient directions of AEM for future generations. However, the performed economic analysis highlights the significantly lower incomes of most components of AEM. We see a principal issue of AEMs usage in the lack of strong incentives for farmers to maximize conservation outcomes. Therefore, the AEMs are often placed in locations with presumed low agriculture profit, which is often related to insignificant conservation effects. Thus, the incomparable AEMs profitability compared to conventional agriculture has to be reflected by the agricultural policy at the European Union level and subsidy policy of particular member states.

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Continuous resource misallocation not only results in total factor productivity loss but also leads to ecological degradation. Therefore, in the process of changing from extensive growth to intensive growth, Chinese agriculture should pay attention to the problem of resource misallocation. There is currently a lack of relevant research, especially concerning the spatial spillover effects of resource misallocation at the city level. To fill this gap, we employ a spatial panel model for empirical testing on the basis of measuring agricultural green total factor productivity (GTFP) in 306 cities in China from 1996-2017. We found that there is positive spatial autocorrelation in Chinese agricultural GTFP, but it decreases year by year. Misallocation in land, labor, machinery and fertilizer all directly hinder the local GTFP. The eastern is mainly negatively affected by neighbor resource misallocation, while the central and western are mainly negatively affected by local resource misallocation. Finally, the indirect effect of neighbor resource misallocation on GTFP gradually shifts from inhibiting effect to a facilitating effect with increasing spatial distance. These findings have clear policy implications: Chinese government should strengthen agricultural green technology innovation and diffusion, strengthen environmental regulation and promote the free movement of labor between regions and sectors.

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Land use in the United States (US) is driven by multiple forces operating at the global level, such as income and population growth, yield and productivity improvement, trade policy, climate change, and changing diets. Future land use has implications for biodiversity, run-off, carbon storage, ecosystem values, agriculture, and the broader economy. We investigate those forces and their implications from a multisector, multisystem dynamics (MSD) perspective focused on understanding dynamics and resilience in complex interdependent systems. Historical trends show slight increases in grassland and natural forest areas and decreases in cropland. We project these trends to intensify under higher pressures for agriculture land and reduce under lower pressures, with no evidence of tipping points toward larger agricultural land abandonment or deforestation. However, US sectoral output and trade, fertilizer use, N2O and CH4 emissions from agriculture activities, and CO2 emissions from land use changes are substantially impacted under land use forcing scenarios.

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Food security is among the most pressing global concerns. It is principally threatened by the combination of rural migration and the pressure of climate change. In order to mitigate these effects, the need to promote stable conditions for small producers -who generate 80% of the world's food- has arose. In search to improve market conditions, this study aims to evaluate the feasibility of cross-hedging between electrical derivatives market and spot agricultural products in Colombia. This hypothesis is proposed, as Colombia depends upon hydro-electricity, an electricity source which is heavily influenced by climatic conditions, particularly the "El Niño" southern oscillation (ENSO). The prices of agricultural products are thus volatile, and subject to this phenomenon. ENSO is presumed to be an important link between these two markets. To contrast the hypothesis, the most commonly- methods in cross-hedging literature were employed to estimate hedge ratios: OLS, Error Correction Models, and GARCH estimations. This last estimation was found to be the one with the best performance for hedge ratio estimation. Despite this, of 93 products analyzed, statistically significant relationships were found for only nine. Besides, it was found that cross-hedging contributes to a risk reduction of not more than 32%.

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Access to agricultural services promotes agricultural production and livelihoods of smallholders in most developing countries. This study explores the factors affecting smallholders' access to agricultural services in northern Ghana. The study relied on survey data for the analysis. We estimated a multivariate probit model to assess the factors influencing access to agricultural services and a generalized Poisson regression model to evaluate the factors affecting the degree of access to these services. The results indicated that farmers had varying degree of access to different agricultural services. The most accessed service was agricultural extension (63% access) while the least was farm credit (40% access). Access to services and the degree of access (number of services accessed) were both influenced by household size, farming experience, household income, farmer group membership, and geographical location. In addition, the number of services accessed by farmers was influenced by participation in off-farm work. The paper proposed measures to enhance smallholders' access to agricultural services to promote agricultural production, food security and rural livelihoods.

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The Covid-19 pandemic lead Italy to undertake a severe lockdown for almost two months. All of a sudden, the lives of Italians were forced to shift in accordance with the regulations issued by government. This change in the lives of Italians can be mirrored by an adjustment in food consumer behaviour that, consequently, brought about a transition in the whole supply chain. This paper gives an overview of the recent changes in consumption patterns that occurred due to the Italian lockdown, and how evolutions in behaviour are intertwined with the evolution of the main food supply chains. Many of the events here depicted are likely to last far beyond the crisis and affect the subsequent evolution of food consumption in Italy. The Italian retail supply chain successfully adapted to the big shift in consumption. Despite purchases for essential items having increased, no stockout harmed the food security of Italians. Out-of-home consumption moved inside houses giving space to home meal preparation and comfort food. Home delivery has been the most important element in this context, as it boomed during this period, helping laggard consumers fill the digital divide, as it was mostly mediated by e-commerce platforms and instant messaging. It was also the leverage that allowed small retailers and small producers regain their space. This crisis calls for a more sustainable food system that will be increasingly oriented to moving goods rather than people, which will also have relevance in the coming years.

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Hybridization plays a vital role in increasing the production and productivity of maize. Evaluating maize hybrids in a specific environment is a key task for the hybrid maize program. The objective of this study was to identify a promising maize hybrid for winter planting in inner terai regions. Ten maize hybrids were evaluated in a randomized complete block design (RCBD) with three replications during the winter season of 2018 and 2019 at the research field of Purwanchal Agriculture Campus, Jhapa, Nepal. The results suggested that among tested hybrids, P3396 (11.18 tons ha-1), Shresta (10.67 tons ha-1), and Rampur Hybrid 6 (10.37 tons ha-1) produced significantly higher yield in 2018 whereas P3396 (11.10 tons ha-1), Shresta (10.20 tons ha-1), and Ganga Kaveri (10.03 tons ha-1) were the ones with the highest grain yield in 2019. Comparing both years, P3396 and Shresta consistently outperform the other hybrids in terms of grain yield, which is an important traits for the farmers. Correlation studies suggested that ear weight and thousand-grain weight showed a positive significant correlation with grain yield. Therefore, we suggest P3396 and Shresta as promising hybrids for the maize growers in the inner terai regions of Nepal.

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This paper evaluates current food commodity trading from the Shariah point of view, which is particularly relevant for the MENA region. It focuses on futures contracts as the main instrument for grain trading and analyzes the traders' activities. Through a qualitative and multifaceted approach, the paper accumulates and evaluates the suggestions for 15 Shariah-based alternatives to futures by contemporary researchers. Sukuk, commodity funds and takaful programs are among potential structures that could be developed and broadly implemented. The research compares the current criticism of futures markets with the opinions of Islamic scholars and researchers, as well as Shariah standards. The paper also evaluates several recent suggestions by researchers to raise the efficiency of the international commodity trading market for the sake of food security. The results show that there is space for cooperation taking into account Islamic financial principles and conventional commodity exchange regulations, in combining existing best practices of the latter and the rulings of the former in engineering a sounder system of grain trading for the benefit of market players and the end consumers. This would require a joint effort and support from exchanges, standard-setting bodies, and regulators. Among the areas of cooperation are the approach towards corners (ihtikar), squeezes, speculation (gharar, maysir, and najash), and defining the border between reasonable and excess speculation; financial architecture using new technologies in developing a commodity trading contract conforming to the Shariah regulations and the exchange requirements. There is a need to develop the ideas for global food contracts and grain reserve systems, and to test the contracts based on existing exchanges.

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This study explored the potential impact of rural non-farm income diversification on households' welfare and adoption of Zai-technology (a proxy for agricultural technology adoption) using primary data collected from agricultural households in the Upper East region of Ghana. We used Propensity Score Matching (PSM) and Inverse-Probability-weighted Regression Adjustment (IPWRA) techniques to estimate welfare and Zai-technology impacts of non-farm income diversification. After controlling for differences in covariates, the results show that non-farm income diversification increases the likelihood of Zai-technology adoption and contributes to significant household welfare gains. We therefore suggest that the activities of agricultural extension services and farmer-based organizations (FBOs) be enhanced as they facilitate the diversification of non-farm incomes, thereby increasing investment in productivity-enhancing technologies (Zai) and household welfare.

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Although indigenous forest management practices have been used effectively by local people in the management and conservation of forest resources, these practices are eroding, causing negative consequences on the welfare of the people and their forests. To stem the erosion of the indigenous practices and instead stimulate, preserve, or improve their use, this study determines the socioeconomic factors that drive the household's use of the practices in the management and conservation of plant species of non-wood forest products (NWFPs). The study was carried out in Nigeria derived savannah. Data was collected from 200 randomly selected households in 10 randomly selected forest communities. Multivariate probit model was used to estimate the socioeconomic factors that influence the simultaneous use of indigenous forest management practices by households. Given multiple use of the practices, the result shows that the indigenous forest management practices used by the households are selective weeding (82.98%), controlled harvesting (82.45%), enrichment planting (75.53%), fire breaks (76.06%) and indigenous protective mechanism (45.74%). The majority (71.28%) of the respondents said they managed bush mango (Irvingia gabonensis and wombulu) using the practices, while the lowest proportion (21.28%) managed bush buck (Gongronema latifolium). The result of the multivariate probit model shows that virtually all the indigenous forest management practices are positively and significantly associated and are thus, complements. However, local protective mechanisms and controlled harvesting, local protective mechanisms and selective weeding, and local protective mechanisms and enrichment planting are not significantly associated. Farming occupation significantly increases the likelihood of simultaneous use of controlled harvesting, enrichment planting, and fire breaks as indigenous forest management practices in the management and conservation of NWFP. On the other hand, age significantly reduces the likelihood of the use of controlled harvesting and selective weeding. The study recommends the provision of support for young people who are more likely to be involved in the indigenous forest management practices; support to farmers who simultaneously use the practices, for example, through the provision of credit facilities; and a proper definition of user rights in community forests.

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Cowpea (Vigna unguiculata L. Walp) is an important legume crop, especially in sub-Saharan Africa. Poor soil fertility is among the major abiotic factors that contribute to this crop's low yield. Phosphorus (P)-based fertilizers significantly increase cowpea yields but these fertilizers are not well adopted by smallholder cowpea farmers. To understand why, we surveyed 420 farmers across three major cowpea-producing states in Nigeria: first, we assessed the cowpea farmers' knowledge and perception of the need for fertilizers, especially P fertilizers; and, second, we identified factors that determine the use - or non-use - of P-based fertilizers. Although over 80% of farmers surveyed were aware of the value of fertilizers as a yield-increasing factor and were able to identify crops suffering from nutrient deficiency, only 10% used P-based fertilizers like single super phosphate (SSP) and another 11% used combinations of nitrogen, phosphorus, and potassium compound fertilizers and SSP for cowpeas. Reasons for not using P-containing fertilizers included high cost, poor availability in rural markets, and lack of awareness on the need to use P fertilizers. Additionally, many growers believed that cowpeas do not require fertilizers, especially if the previous crop had been maize. Our findings are important for strategies to increase the productivity of cowpeas among smallholder growers especially in the northern regions of Nigeria and beyond, where subsistence farming systems are prevalent. Increased cowpea production through the adequate use of inputs like P fertilizers will support Nigeria's effort to reduce its large imports of cowpea grain from neighboring countries. Our survey further demonstrated that P-containing fertilizers are crucial production inputs for increased cowpea production in these regions and in areas with similar traditional farming practices. Our results will benefit breeders, development partners, extension personnel, and other stakeholders in cowpea value chains.

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Sesame production under irrigation is limited in Ethiopia because of in availability of high yielding varieties, inadequate and inefficient irrigation schemes, and insignificant awareness of producers. This study, comprising 13 sesame genotypes, was conducted around Humera and Werer during 2018 and 2019 under irrigation. The design was randomized completely block design with three replications and the objectives were to develop high yielding genotypes and identify important agronomic traits. Multivariate statistical methods like Additive Main Effect and Multiplicative Interaction (AMMI) model, Principal Component Analysis, Cluster and factor analyses were used. The genotypes (6.22%), environments (42.62) and Genotype × Environment Interactions (25.09%) were statistically (p < 0.001) significant for the agronomic traits. The grain yield in each observation varied from 383 kg/ha to 2044 kg/ha and the grand mean yield was 820.19 kg/ha. The highest mean yield was recorded from G12 (948.6 kg/ha) followed by G4 (938.9 kg/ha) while the lowest was recorded from G8 (703.1 kg/ha). G1, G4, G12, G5, G8, G11 and G13 are identified as unstable genotypes while G2, G3, G6, and G9 are stable genotypes. The genotypes were grouped in to four clusters and cluster-II was characterized as the high yielding cluster and it was also associated with grain yield, pods per plant, branches per plant and thousand seed weight. Branches per plant, pods per plant and thousand seed weight may be most determinant and crucial in developing high yielding sesame varieties. This finding recommends that G4 and G6 are desirable genotypes and can be used for irrigation production.

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The paper looks at factors that influence landlords' decision to transfer their farmlands and how farmland transfer has impacted on landlords' income. The essence of farmland transfer policy is to promote efficiency in agricultural land use. Endogenous regression model was adopted for the study because of its ability to handle the transfer decisions and impact of transfer decision on outcome simultaneously. The data were obtained from selected communities in Yunnan province, China. A total of 260 landlords were randomly selected for the study. The result shows that out-migration, off-farm income, agesq, public infrastructure and skill training influence transfer decision positively. The results further show that famine experience, access to credit, education and age negatively influence farmland transfer decision. The results show that farmland transfer leads to a significant increase in landlords' income.

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This study aims to determine the impact of credit constraints on wheat farmers' welfare. For this study, data on 575 wheat farmers were collected through a simple random sampling technique. The treatment-effect model was used to find the effect of credit constraints on the farmers' welfare. In addition, to control for the problem of endogeneity, ordinary least squares and logistic regressions were employed. Farmers' welfare was measured by as consumption. The results show that constrained farmers cultivate 2.8-4.1% more area of land than unconstrained farmers but that the spending and income per capita of credit-constrained farmers are 18.9 to 13.8% lower, respectivley, than those of unconstrained farmers. Moreover, the results indicate that the welfare and income of credit-constrained farmers are influenced by age, the interest rate, area of land, and family size. An increase in the area of land enhances wellbeing and returns for the constrained farmer, which is in contrast to the unconstrained farmer. The results show that credit constraints have a negative impact on farmers' welfare and income. Better welfare may only be achieved if credit is supplied to credit-constrained farmers. Furthermore, this study has potentially significant implications. First, the negative impact of the interest rate suggests that the State Bank of Pakistan should modify agricultural credit policies, particularly to design a flexible interest rate for farmers. Second, the central bank should amend the agricultural credit limits based on the current financial needs of the agricultural market when the rate of inflation is high and the impact of agricultural crises is long and drawn-out. Third, the government should launch an agricultural Islamic bank in the study area. This Islamic bank would support religious farmers who are constrained due to objections to interest, and it would relax the farmers' credit constraints as well as help them to increase welfare and income.

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In the era of evidence-based policy, framing and assessing the core evidence is fundamental to our ability to use research in support of public policy. In a world of almost exponentially expanding scholarly publication, it is becoming harder to define what is known. This article reviews the basic theories of knowledge, the context for sorting through and summarizing that knowledge and a number of options available, and used, to assemble the knowledge base for research and policy work. The authors undertook a summative process in the domain of biotechnology, agriculture and development and offer insights into the comparative methods and their impacts on the outcome. A population sample of 421 articles was gathered. Four methods-expert Delphi, citation analysis, social network analysis and peer evaluation-were used to select the 51 pieces for inclusion and analysis in the core literature. That analysis shows that each process delivered a different set of evidence. The potential for bias in knowledge assessment can challenge policy makers in their process of reviewing evidence that rationalizes policy.

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The sustainability of the livestock sector in sub-Saharan Africa is negatively affected by limited access to high-quality fodder in adequate quantities. The effects of climate change further exacerbate feed availability. Therefore, there is a need to develop feasible cost-effective strategies for improving the year-round feed supply. Improved planted forages such as Brachiaria grass have been recommended as one of the strategies of alleviating feed scarcity, especially in drier agro-ecological zones. This study analyses the socio-economic determinants of adoption and the impact of adopting Brachiaria grass for feed sufficiency and increased milk production. Propensity Score Matching (PSM) method was used to assess the determinants and impact of the adoption of Brachiaria grass. Empirical results indicate that the adoption of Brachiaria grass led to a significant increase in milk production by 27.6% and feed sufficiency by 31.6%. The positive impact of Brachiaria grass is consistent with the role of agricultural technologies in improving the productivity, income, and welfare of smallholder farmers. The adoption of Brachiaria grass is influenced by age of farmer, tropical livestock unit (TLU), type of animal breed, perceived benefits of the technology, access to extension, and farmer group membership. The study recommends holistic policy approaches that promote the widespread adoption of Brachiaria grass. There is also a need for an effective information dissemination pathway for Brachiaria grass.

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This research was carried out to evaluate a local biogas plant's solid fraction digestate spreading in a citrus orchard and vineyard. Three spreaders were tested: a broadcast manure spreader in the citrus orchard, and two cylindrical-shaped spreaders in the vineyard; the first one working in broadcast configuration, the second one in localised configuration. Experimental tests assessed effective work time, mean work speed, digestate flow rate and longitudinal and transverse spreading uniformity. In the citrus orchard, the digestate was mainly spread in the centre of the inter-row (around 66%), with low variability between inter-rows (coefficient of variation (CV) equal to 2.7%) and much higher variability within inter-rows (CV = 31.4%). The effective work time was about 28% of total field time and real work capacity was about 0.96 ha h-1. In the vineyard, broadcast spreading released more on the right compared to the left (ratio 1.74) due to distributor disc rotation, whereas localised spreading was more uniform. Overall, variability between inter-rows had CV = 15.1% and within inter-rows CV = 33.3%. Real work capacity was about 0.16 ha h-1 for broadcast spreading and 0.26 ha h-1 for localised spreading. A preliminary economic evaluation, based on sub-contractor tariffs, produced the mean tariff for transaction and spreading costs of digestate in farms near the biogas plant.