Farm Profitability Research Articles

Policy and Competitiveness of Integrated Agricultural-Based technology for Cocoa Production in Indonesia: Application of a Policy Analysis Matrix

Purpose: The research aimed to evaluate the competitiveness of smallholder cocoa plantations and the efficiency of input use in cocoa farming by strengthening farmer groups Indonesia. Theoretical framework: The research design includes the steps taken in conducting research, data sources, and how to obtain data and data analysis. The research clearly describes the variables, data collection, and data analysis methods to have a clear picture of the competitiveness of cocoa farming. Design/methodology/approach : Measuring the competitiveness of cocoa in Bali using the Policy Analysis Matrix (PAM) method. PAM analysis is used to calculate private profit, which is a measure of farm competitiveness at the market price level or the actual price Findings: Competitiveness at the social price level is placed on the second row of the PAM table, Indonesia is an agricultural country and the development of the main agricultural sector, especially cocoa commodities which are managed through community plantations in rural areas, shows the ability to be comparatively competitive, even competitive, even though some components such as private farmer profits can be achieved at 69% compared to what cocoa farmers should receive. Farmers can receive social benefits of up to 40%. Even though cocoa production receives output subsidies, cocoa farmers are only able to obtain a price of 79%, or 21% lower than the world cocoa price, but it is still competitively profitable for farmers. The inputs needed by farmers in cocoa production can be managed by farmers so that the price of tradable inputs at the farmer level shows the same price at the economic level so that it is said to have comparative and competitive competitiveness. Research, Practical & Social implications: Competitive cocoa in Indonesia provides benefits to farmers at small-scale plantations of up to 69 %, and the profits received by farmers are 40% when measured comparatively. Originality/value: Originality/Value: This research is original. Implemented in smallholder cocoa plantations in Indonesia with integrated crop-livestock farming patterns to produce outputs that can compete at social prices and to motivate other cocoa farmers to develop farming system innovations that can increase cocoa production based on local resources.

Оптимизиране на калиевото торене при ранно и средноранно производство на домати за устойчиви добиви и икономическа рентабилност

Split potassium fertilization is emerging as an effective technique for the prolonged assimilation of significant amounts of accessible potassium during the vegetation, with the aim of establishing a positive potassium balance in the soil and achieving increased yields of quality produce. The aim of this study was to determine the economic efficiency of the partitioning and split application of potassium doses in the cultivation of tomatoes, both in the early and mid-early production. The results showed that tomato plants demonstrate improved potassium utilization through split application, resulting in increased yields and total production revenues. Split fertilization alternatives proved to be economically viable, with N24Р12К8+8+8 approach being particularly beneficial in early tomato production. This study underlines the importance of optimizing fertilization practices in agriculture, highlighting the potential to increase economic efficiency and profitability for farmers and to ensure the sustainable use of soil resources.

Combining Crop and Water Decisions to Manage Groundwater Overdraft over Decadal and Longer Timescales

Coordinating management of groundwater, surface water, and irrigated crops is fundamental economically for many arid and semi-arid regions. This paper examines conjunctive water management for agriculture using hydro-economic optimization modeling. The analysis is integrated across two timescales: a two-stage stochastic decadal model for managing annual and perennial crops spanning dry and wet years and a far-horizon dynamic program embedding the decadal model into a longer groundwater policy setting. The modeling loosely represents California’s San Joaquin Valley and has insights for many irrigated arid and semi-arid regions relying on groundwater with variable annual hydrology. Results show how conjunctive water management can stabilize crop decisions and improve agricultural profitability across different water years by pumping more in dry years and increasing recharging groundwater in wetter years. Using groundwater as a buffer for droughts allows growing more higher-value perennial crops, which maximizes profit even with water-scarce conditions. Nevertheless, ending overdraft in basins with declining groundwater for profit-maximizing farming reduces annual crops to maintain more profitable perennial crops through droughts. Results are affected by economic discount rates and future climates. Operating and opportunity costs from forgone annual crops can reduce aquifer recharge early in regulatory periods.

Profit and investment provision of agricultural enterprises in Ukraine

Investment processes are crucial for agricultural enterprises' sustainable development, innovativeness, competitiveness, and food security. The article presents the results of the study, the purpose of which was to quantitatively assess the role of the profit of agricultural enterprises in the investment provision in agriculture in Ukraine in 2012-2022. Quantitative research methods were used, particularly trend analysis, correlation analysis, and a regression model design. The dynamic tendencies of investing and profitability in agriculture were defined. It showed the trend of increasing the annual number of investments in agriculture in the pre-war years. Political factors explained some deviations from the growth trend. Only in the first year of the war were capital investments reduced by 27% in agriculture in Ukraine. The total net profit of agricultural enterprises was positive during the research period, but its annual value fluctuated significantly. Our study has revealed a significant correlation between the profit of agricultural enterprises and the volume of investments in agriculture. We have developed regression models that demonstrate this relationship for the periods 2012-2022 and 2012-2021 with a one-year lag for investments. Our findings confirm that profit is the primary financial source of investment and innovation in Ukrainian agricultural enterprises. To ensure the innovative development of agrarian enterprises and the country's food security, further scientific research is needed to determine the financial sources of investment and their optimal structure in agriculture, particularly in times of decreasing profitability. Keywords: profit, investments, investment provision, enterprise, agriculture.

Transdisciplinary approaches to local sustainability: aligning local governance and navigating spillovers with global action towards the Sustainable Development Goals

In an evolving world, effectively managing human–natural systems under uncertainty becomes paramount, particularly when targeting the United Nations 2030 Agenda for Sustainable Development Goals (SDGs). The complexity in multi-actor decision-making and multi-sectoral settings, coupled with intricate relationships and potential conflicting management approaches, makes understanding the local implications of progressing towards the global SDGs challenging. We used a transdisciplinary approach for knowledge co-production with local stakeholders to assess the impact of local action to boost sustainability in the Goulburn–Murray region, Victoria, Australia, and its alignment with global action towards the SDGs. Together, we co-developed 11 local actions geared towards achieving four locally important environmental and socioeconomic SDGs, with a particular emphasis on addressing potential ‘spillovers’—unintended effects that influence SDGs across scales. Through system dynamics modelling, we evaluated the interplay between these local actions and global scenarios, emphasising their synergies, trade-offs, and the resulting impact on SDG indicators. Key findings indicate a predominant synergy between global and local actions across most SDG indicators. However, certain areas like dairy production, riverine algal blooms, and agricultural profit displayed trade-offs. Local actions significantly impacted indicators, such as crop production, dairy output, agricultural land use, and agricultural profitability. Findings highlighted the need for complementary actions in areas, such as water availability management, skilled workforce, and salinity control. This study underscored the importance of harmonising local initiatives with global sustainability objectives and can inspire local governance to champion resilience policies that harmoniously integrate local actions with global sustainability goals, adapting to evolving uncertainty scenarios.Graphical abstract

Physio-biochemical responses and crop performance analysis in chickpea upon botanical priming

Chickpea is a highly nutritious protein-rich source and one of the major crops to alleviate global malnutrition, but poor seed quality affects its productivity. Seed quality is essential for better crop establishment and higher yields, particularly in the uncertain climate change. The present study investigated the impact of botanical priming versus hydropriming and bavistin seed treatment on chickpea seeds. A detailed physiological (germination percentage, root and shoot length, vigour index) and biochemical (amylase, protease, dehydrogenase, phytase, and lipid peroxidation) analysis was carried out in order to assess the effect of priming treatments. Turmeric-primed seeds showed better germination rate (94.5%), seedling length, enzyme activity, and lower malondialdehyde (MDA) content. Sodium dodecyl-sulfate polyacrylamide gel electrophoresis (SDS-PAGE) analysis revealed the expression of minor polypeptides of albumin and globulin in the primed seeds. Moreover, field experiments indicated increased crop growth, vigour, days to 50% flowering, yield and its attributing traits in turmeric-primed seeds. Botanical priming can increase chickpea yield by up to 16% over the control group. This low-cost and eco-friendly technique enhances seed and crop performance, making it a powerful tool for augmenting chickpea growth. Therefore, chickpea growers must adopt botanical priming techniques to enhance the quality of seed and crop performance. Moreover, this approach is environmentally sustainable and can help conserve natural resources in the long term. Therefore, this new approach must be widely adopted across the agricultural industry to ensure sustainable and profitable farming practices.

Accurate measurement of field size is essential for analysis of smallholder survey data

ContextAgronomic surveys play a vital role in identifying on-farm yield constraints and opportunities to increase productivity, input-use efficiency, and farmer profit. These surveys typically rely on farmer-reported data, where crop yield and applied inputs per hectare are estimated based on farmer-reported total harvested output and applied inputs per field and associated field size. At question is how accurate field size is, which is vital in the case of smallholders as small inaccuracies can lead to large biases in estimated yield and inputs. ObjectivesThe goals of this study are to assess current approaches to determine field size in smallholders, analyze biases between measurements and farmer estimates, and their influence on the analysis of the survey data. Cost-effective approaches for accurate field size measurement are also discussed. MethodsWe reviewed published studies that used survey data collected from smallholders to determine the extent to which field size is independently validated by researchers. Subsequently, we used data from thousands of smallholder fields in Southeast Asia to compare farmer-reported versus measured field size and examined the associated impact on estimated yields, inputs, and their relationships. ResultsWe found that most published studies using survey data did not validate field size reported by farmers. Furthermore, our analysis of the field size data from smallholders in Southeast Asia showed substantial differences between farmer-reported and measured field size, resulting in significant biases in estimated yield and applied inputs, and leading to spurious relationships between them. ConclusionUncertainty in field size can mislead analysis of smallholder survey data. ImplicationsFuture studies relying on survey data from smallholders should incorporate measurements of field size for accurate determination of crop yield and inputs.

Principal component analysis of phenotypic and breeding value data for semen traits in Egyptian buffalo bulls

Buffalo bull semen traits are economically important traits that influence farm fertility and profitability. Genetic improvement of semen characteristics is an important detail of the genetic improvement. This study was conducted to assess the relationship between the breeding values as well as the phenotypic values for semen traits (VOL, MM, LS, AS and CONC) of the Egyptian buffalo bulls. A total of 7761 normal semen ejaculates were collected and characterized at ILMTC laboratory from 26 bulls from 2009 to 2019. For VOL, MM, LS, AS, and CONC, the actual means were 3.89 mL, 62.37%, 60.64%, 3.94%, and 0.67 × 109 sperm/mL, respectively. The prediction of breeding values for semen traits was estimated using a Bayesian procedure. The estimated standardized EBVs and phenotypic values were used in the principal component analysis (PCA). Of five PCs, one PC (PC1) had > 1 eigenvalues that was responsible for 87.19% of the total variation of SEBV, and two PCs had > 1 eigenvalues that were responsible for 59.61% and 21.35% of the total variation of the phenotypic values. Together, PC1 and PC2 accounted for 97.97% of the total variance of SEBV and 80.96% of the total variance of phenotypic values. A graphs of the first two components showed the traits separated into two different directions by group. This indicates each group was under similar genetic influence. Therefore, selection can be done separately for each group without influencing the other. Principal component analysis reduced variables to describe the key information in buffalo semen data.

Sustainable Development of Organic Farming using Water Hyacinth Pontederia crassipes Over Vermitechnology by Eisenia fetida

Our planet is really lovely, and there are plenty of living organisms here. Among these organisms, human beings are also contributing to the planet. However with a growing population of human beings, there is a growing need for food, which is entirely dependent on agriculture, several strategies have been employed to boost agricultural output, including inorganic fertilizers and synthetic pesticides. Inorganic fertilizers have largely enhanced productivity as well, but they also have several negative health impacts. However, continued use and reliance on these inputs has reduced crop productivity and deteriorated the quality of natural resources and the ecosystem. So, to overcome these problems and for sustainable development, long-term agricultural expansion may be achieved with organic farming while also preserving the environment. It may take time to switch from chemical to organic farming, which could reduce the farmer's profits. Our planet is really lovely, and there are plenty of living organisms here. Among these organisms, human beings are also contributing to the planet. However with a growing population of human beings, there is a growing need for food, which is entirely dependent on agriculture, several strategies have been employed to boost agricultural output, including inorganic fertilizers and synthetic pesticides. Inorganic fertilizers have largely enhanced productivity as well, but they also have several negative health impacts. However, continued use and reliance on these inputs has reduced crop productivity and deteriorated the quality of natural resources and the ecosystem. So, to overcome these problems and for sustainable development, long-term agricultural expansion may be achieved with organic farming while also preserving the environment. It may take time to switch from chemical to organic farming, which could reduce the farmer's profits. Advancements in organic farming, using Eisenia fetida to promote the vermicomposting of water hyacinth (wastewater weed) and employing more organic fertilizer while decreasing inorganic fertilizer usage in farming. However, the farmer will only make the changeover if he is persuaded that organic farming has long-term advantages over chemical farming. Vermicompost is a type of organic fertilizer, prepared from earthworms using various unused waste organic materials. It is an alternative source for increasing agriculture production. Many works have shown that vermicompost has beneficial effects on the environment. Various organic waste materials are used by earthworm species to form vermicompost. Water hyacinth poisons water bodies, turning pleasant water into unappealing water by emitting a foul smell. Most times, water hyacinths thrive in sewage water. Controlling this aquatic weed is a major issue, but it is easily solved through vermitechnology. Extremely, in our review study, we are going to give our concentrate on development of organic farming using vermicomposting.

Realtime optimization and management system (ROAM): A decision support system for digital agriculture systems

The growing disparity between food supply and demand requires innovative Digital Agriculture (DA) systems to increase farm sustainability and profitability. However, current systems suffer from problems of complexity stemming from the challenge of integrating diverse, often non-interoperable hardware and software components. In order to tackle these complexities to increase farm efficiency and understand the tradeoffs of these new DA innovations we developed Realtime Optimization and Management System (ROAM), which is a decision-support system developed to find a Pareto optimal architectural design to build DA systems. To find the Pareto optimal solution, we employed the Rhodium Multi-Objective Evolutionary Algorithm (MOEA), which systematically evaluates the trade-offs in DA system designs. Based on data from five live deployments at Cornell University, each DA design can be analyzed based on user defined objectives and evaluated under uncertain farming environments with ROAM. Paired with this, we develop a web interface that allows users to define personalized decision spaces and visualize decision tradeoffs. To help validate ROAM, it was deployed to a commercial farm where the user was recommended a DA architecture design method to increase farm efficiency. ROAM allows users to quickly make key decisions in designing their DA systems to increase farm profitability.

Unraveling the interplay of human decisions and flood risk: An agent-based modeling approach

Flooding is a frequent and highly destructive natural disaster that requires effective flood management policies. This paper addresses the limitations of traditional flood risk assessment methods, focusing on the interplay between human decisions and flood risk using an integrated approach. Agent-Based Modeling (ABM) is employed to capture the social behavior of government, households, and farmers in three flood management scenarios. The study is conducted in the Fall River watershed, Idaho, USA, over a 30-year period. The results highlight the important influence of crop selection decisions on flood damage outcomes, with alfalfa emerging as the preferred crop due to its profitability and lower damage potential (around 67 % crop loss compared to more than 81 % for crops like corn, barley, and wheat). The levee scenario is identified as the most effective strategy, significantly reducing flood damage by more than 37 % and generating the highest average annual profit for farmers. The study emphasizes the need for comprehensive flood risk management strategies that address both frequent and rare flood occurrences in mitigating flood damage and promoting community resilience. By integrating human-flood interactions into flood risk assessment, this study offers valuable insights for Policymakers and stakeholders can utilize the research implications to develop effective strategies that mitigate damage and enhance community resilience.

Silkworm Hemolymph and Cocoon Metabolomics Reveals Valine Improves Feed Efficiency of Silkworm Artificial Diet.

Artificial silkworm diets significantly impact farm profitability. Sustainable cocoon production depends on the continuous improvement of feed efficiency to reduce costs and nutrient losses in the feed. This study used metabolomics to explore the differences in silkworm cocoons and hemolymph under two modes of rearing: an artificial diet and a mulberry-leaf diet. Nine metabolites of silkworm cocoons and hemolymph in the mulberry-leaf group were higher than those in the artificial-diet group. Enrichment analysis of the KEGG pathways for these metabolites revealed that they were mainly enriched in the valine, leucine, and isoleucine biosynthesis and degradation pathways. Hence, the artificial silkworm diet was supplemented various concentrations of valine were supplemented to with the aim of examining the impact of valine on their feeding and digestion of the artificial diet. The results indicated that valine addition had no significant effect on feed digestibility in the fifth-instar silkworm. Food intake in the 2% and 4% valine groups was significantly lower than that in the 0% valine group. However, the 2% and 4% valine groups showed significantly improved cocoon-production efficiency, at 11.3% and 25.1% higher, respectively. However, the cocoon-layer-production efficiencies of the 2% and 4% valine groups decreased by 7.7% and 13.9%, respectively. The research confirmed that valine is an effective substance for enhancing the feed efficiency of silkworms.

Effects of fertilizer levels and varieties on fodder yield productivity, nutrient use efficiency, and profitability of oat (Avena sativa L.) in the central highlands of Ethiopia

This study aimed to assess the effect of fertilizer rates on agro-morphological traits, nutrient uptake and use efficiency, and economic feasibility of fodder yield in oat. The study was carried out using a factorial arrangement of eight fertilizer rates (0, 25, 50, 75, 100, 125, 150, and 175 %) and three oat varieties (CI-8251, SRCPX80Ab2291, and Sorataf) in a randomized complete block design with three replications. The results revealed that variety, fertilizer, and year had a significant effect on fodder yield. The fodder yield increased up to 175 % of the blanket recommended fertilizer and application of 100, 125, 150, and 175 % produced fodder yield of 14.0, 15.6, 15.8, and 15.9 t/ha, respectively. The fodder type oat (CI-8251) and dual type oat (SRCPX80Ab2291) variety had 15.4 and 10.6 % fodder yield advantages over grain type oat (Sorataf), respectively. Significantly higher fodder yield was obtained in 2021 than 2020 cropping season. Moreover, the interaction effect of variety by fertilizer by year was significant for nitrogen and phosphorus concentrations, nitrogen and total nutrient uptake, partial factor productivity, internal utilization efficiency, agronomic efficiency, and agro-physiological efficiency. The Pearson correlation analysis indicated that the number of tillers per plant, yields of morphological fractions (leaf, stem, and panicle), forage yield production rate, nutrient concentration, and uptake had significant positive associations with fertilizer levels and fodder yield. In contrast, all nutrient use efficiency except agro-physiological efficiency had inverse associations with fertilizer levels and fodder yield. The combined partial budget analysis for the three oat varieties showed that the application of 125 % fertilizer produced a higher net benefit (83,440 ETB) and marginal rate of return (12,635.6 %). Therefore, the blanket recommended fertilizer rate of 125 % (51.3 kg N + 25 kg P/ha) could increase fodder yield and farm profitability in the study area.

Correction: Evolution and sustainability of groundwater use from the Ica aquifers for the most profitable agriculture in Peru

Correction: Evolution and sustainability of groundwater use from the Ica aquifers for the most profitable agriculture in Peru

Aquaculture: A hidden goldmine for the rural poor—A cost–benefit analysis of fish farming for sustainable development and food security in Vihiga County, Kenya

AbstractIn Kenya, aquaculture plays a significant role in enhancing the livelihoods of rural communities by boosting the local economy and diversifying protein sources. Although Vihiga County in Western Kenya boasts considerable potential for aquaculture, it paradoxically experiences some of the highest levels of poverty and malnutrition in the country. The profitability of fish farming has also been affected by inefficiencies and poor resources, disproportionately affecting the income and nutritional value of rural poor who rely on Aquaculture as a source of cheap protein. The study was conducted in Vihiga County to assess the cost–benefit of aquaculture production, selecting 100 fish farmers through a stratified random sampling technique from five sub‐counties. A descriptive research design was employed, and data analysis was conducted using correlation and regression analysis with SPSS. Budgetary techniques were used for the cost–benefit analysis. Data presentation was by comparing the mean and standard deviation in US dollars of different pond size production. The research findings indicated that the size and type of pond do not have a significant correlation and differences in production (p‐value >.05). There is a strong positive correlation between the size of the pond and the stocking density. The variable cost (VC) has a positive correlation with pond productivity meaning that an increase in VC leads to an increase in production. And is not statistically significant (p‐value = .21827, p‐value >.05). Moreover, the total cost (TC) correlation is statistically significant (p‐value = .0351, p < .05). Larger ponds are more profitable but require higher costs production than smaller ponds. The study concludes that pond size significantly impacts productivity, advocating for smaller ponds to achieve higher net returns with lower production costs. Major challenges include high costs of feeds, inputs, fish diseases, and post‐harvest losses. Key policy variables influencing aquaculture in Vihiga County include infrastructure, fish feed production, capital, and fisheries extension services. Adequate financial support from both National and County governments is crucial for sustainable aquaculture in alignment with Kenya's Vision 2030 and Global Sustainable Development Goals. Policymakers are urged to assist small‐scale farmers with financing, training, and market information to optimize returns on investment.

The Influence of Trees on Crop Yields in Temperate Zone Alley Cropping Systems: A Review

Agroforestry is a multifunctional land use system that represents a promising approach to mitigate the environmental impact of agriculture while enhancing the resilience of agricultural systems and ensuring sustainable food production. However, the tree rows in agroforestry systems, particularly in alley cropping systems (ACS), can affect crop productivity on adjacent agricultural fields through various mechanisms. Hence, concerns about declining yields and reduced farm profitability persist and explain the reluctance of farmers to implement ACS on their land. In this review, we examine the available literature on the effects of temperate ACS on yields of various agricultural crops to evaluate if and to what extent crop yields in ACS are affected by tree presence. We identified that ACS crop yields often vary substantially across different species, geographical locations, weather conditions and ACS designs. Our analysis also revealed that several parameters are modified in ACS by the presence of tree rows affecting crop yields positively or negatively and that ACS design aspects play a crucial role in determining crop productivity.

Are Lentil (Lens culinaris) Farms Productive, Profitable, and Efficient in Resource Allocation? A Cross‐Sectional Study From Nepal

ABSTRACTThe study was based on primary data from 473 lentil farmers selected randomly to analyze productivity, profitability, efficiency, and sensitivity of lentil farms in Nepal. Methods like benefit–cost, break‐even, margin safety, and sensitivity analysis, scaling technique, Cobb–Douglas type of production function, and stochastic frontier were adopted to derive farm economics, allocative, and cost efficiency levels. With average productivity of 672 kg/ha, lentil farmers in the study area were earning about 41% profit as of gross return with a profitability index of 0.78. About 45% margin of safety and estimates of benefit–cost ratio above one on all sensitivity measures is indicative of low risk and robust enterprise. Resources allocated in lentil production were found inefficient, and to achieve maximum return, expenses on land preparation, seed, nutrient, and plant protection cum irrigation should be increased by 27.6%, 80%, 33.1%, and 97%, respectively. Similarly, expenses on labor and harvesting activities need to be decreased by 30.1% and 23.6%. Labor cost and seed cost were the most important variables, and a 1% increase would surge the total production costs by 0.42% and 0.19%, respectively. The cost efficiency was estimated as 1.137 mean value, meaning that over 13.7% of the costs in lentil farms is wasted while comparing best‐practiced farm. Only about 48% of farms is fairly efficient at efficiency levels 1.0 to 1.09, but the majority is inefficient, which needs to minimize the waste of resources. Although suffering from climatic risks and production‐related problems, lentil enterprise is profitable, less risky, less sensitive, and fairly to inefficient in resource use. Wise attention is need on the part of farm management and resource utilization. Farmers are suggested to maintain farm size around 0.5 ha or below 1 ha, use only improved varietal seed, cut labor expenses with the use of machinery, and perform adequate tillage during sowing followed by effective disease management practices.

Impact of participatory guarantee systems on sustainability outcomes: the case of vegetable farming in Vietnam

ABSTRACT Sustainable food systems require mechanisms that assure consumers about the sustainability of agricultural production. Building on the existing literature on the impact of sustainability standards, this study is the first to assess the effectiveness of participatory guarantee systems (PGS) for the certification of organic produce. The study uses representative farm-level data on local vegetable value chains in northern Vietnam and uses a broad set of sustainability outcomes as well as counterfactual analysis, including systematic robustness checks. The results show that PGS significantly improves farm profitability (+117%), agroecology performance (+40%), and gives farmers more choice of sales channels (+23%). However, PGS had no significant effect on returns to labour and reduced the average crop yield. Capacity development on nursery practices, transplanting of healthy seedlings rather than direct seeding, reduced tillage, and collective crop planning and management are some of the innovations that can counter adverse effects on crop yields, increase soil health as well as improve returns to labour, and thus attract more youth to farming. Overall, the study shows that organic PGS can make vegetable production more economically viable and more agroecologically sustainable.

Stover removal has minimal impact on pennycress seeded into standing corn

AbstractIn the Upper Midwest, corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] are the most prominent agricultural crops, occupying land for only half the year. Their fallow periods are associated with nutrient leaching and soil erosion, but they also represent an opportunity to establish winter‐hardy crops, like pennycress (Thlaspi arvense L.), that can reduce negative environmental impacts while contributing to farm profitability. A lack of agronomic best management practices remains a barrier to pennycress adoption. The objectives of this study were to evaluate the impact of stover presence on pennycress stand establishment and seed yield after seeding pennycress into R4 corn. This study was conducted over the 2014–2015 and 2015–2016 growing seasons with MN106 pennycress at three locations in Minnesota. At maturity, corn plants were removed from plots in 25% increments between 0% and 100% to simulate stover removal scenarios. Pennycress seedlings were unable to compete with corn for available light resources and did not have enough time following corn harvest to establish a dense stand in the autumn with only 5% and 10% green cover in 2014 and 2015, respectively. Despite poor early season emergence, the average seed yield, 1223 kg ha−1, was high relative to other studies using MN106, indicating that challenges of growing pennycress under adverse conditions may not be a barrier to competitive seed yields. Experimentation on the corn–pennycress system should continue in the future to further explore and establish best management practices for this double crop.

Co-cultivation of sweet basil (Ocimum basilicum L.) with food crops for efficient resource utilization and increasing the farm profits

Ocimum basilicum L., or sweet basil, is a valuable aromatic and medicinal plant that is used in aromatherapy to energize, relax, and stimulate the mind. It is also used in the pharmaceutical industry for its anti-ageing and therapeutic qualities. Farmers who depend only on conventional food crops run the danger of crop failure as a result of unanticipated circumstances like uncertain weather, pest outbreaks, or disease epidemics. In contrast, intercropping offers a kind of insurance against total crop loss by diversifying farm outputs. The present study aims to increase field productivity and efficient use of land resources under sweet basil-based inter-cropping systems. In the experiment, 17 different treatments (12 treatments comprising of inter-cropping of sweet basil (55,555 plants/ha plant population) with four conventional crops namely maize (Zea mays L.), pearlmillet (Pennisetum glaucum L.), pigeonpea (Cajanus cajan L.) and okra (Abelmoschus esculentus L.) at three plant populations, i.e., 100% (55,555 plants/ha), 75% (37,037 plants/ha), and 50% (27,777 plants/ha). Also, all five sole crops (4 conventional crops and sweet basil) were planted. The study findings showed that the maximum fresh herb yield of sole sweet basil culture at 100% plant population (14.2 t/ha with 0.70% oil content and 99.2 kg/ha oil yield) was almost equal to that of co-cultivation of sweet basil with pigeonpea at 50% plant population (14 t/ha with 0.70% oil content and 98.2 kg/ha oil yield). Similarly, LER varied from 1.50 to 1.90 and the ATER varied from 1.32 to 1.82. The inter-cropping system based on sweet basil is an advantageous strategy to maximize resource use efficiency. Nevertheless, net returns of sweet basil were found to be maximum with pigeon pea (1762–1881 USD/ha) followed by okra (1507–1638 USD/ha), maize (1042–1310 USD/ha) and pearl millet (809–1029 USD/ha). Moreover, for better herb yield and net returns, it was more profitable for the farmers to co-cultivate sweet basil with pigeon pea at 50% plant population.