Conventional Crops Research Articles

Assessing the productivity potential of camelina (Camelina sativa L. Crantz) in the Mediterranean basin: Results from multi-year and multi-location trials in Europe and Africa

Camelina is a multi-purpose oilseed crop for industrial bio-based applications. Recently, it has gained increasing attention mostly due to the possibility to grow with limited resources and in marginal environments, as well as to increase soil coverage and water retention, while reducing nitrogen leaching. The present study aimed to assess the viability of using camelina as an emerging oilseed crop for EU and African Mediterranean farmers. Several camelina spring genotypes were evaluated in a multi-location trial (Italy, Spain, Algeria, Morocco and Tunisia) in two growing seasons (2020–22). Although thermal time was very similar at all sites (∼1300 GDD from sowing to harvest), the growing cycle length was about 60 days longer in Europe than in Africa, leading to a higher seed yield (∼ 1.5-fold higher). Mean seed production in the African countries was 0.71 Mg ha−1 proving camelina to be adaptable even to very arid conditions. Under more favorable conditions (European countries) seed yields was up to 2 Mg ha−1. Among genotypes, Alba generally exhibited the highest seed yield and seed weight, while CCE42 and CCE29 showed more stable productions over years and locations. Based on the results of the present study it is possible to conclude that the introduction of camelina into conventional Mediterranean cropping systems appeared as feasible option to improve crop diversification; however, the selection of best camelina varieties is essential to achieve sustainable productions, particularly for African countries.

Impacts of genotype, edaphic factors, and plant nutrients on yield and fruit quality for a perennial specialty crop (Vaccinium macrocarpon Ait.)

AbstractCompared to conventional crops, less is known about how genetic and environmental variability affect the yield and quality of specialty crops like cranberry (Vaccinium macrocarpon Ait.). Herein, we performed a multifaceted analysis of six commercial cranberry beds planted to the Stevens cultivar. The six beds included three with above‐average multiyear yields and three that were lower than average. We considered genotype, edaphic factors, and plant nutrient content as driving variables of yield and fruit quality. We found that genetic purity within beds raised the odds of obtaining above‐average yields over an 8‐year period. The highest levels of genetic contamination (38%–75%) were found at the low‐yield beds, where significant differences in yield and fruit quality were observed between genotypes, within beds. Across all beds, focusing only on plots genetically confirmed to be Stevens cultivar, we also found that plot‐scale yield in 2020 was significantly higher for two of three high‐yield beds, suggesting other factors besides genetic contamination influenced differences in bed‐scale yield. A factor analysis of mixed data that jointly included genotype, edaphic variables, and plant tissue nutrient content revealed complex relations among these variables that were tied to grouping plots based on long‐term yield. Findings highlight the need for further research into the complex genetic and environmental factors that control cranberry yield and fruit quality.

Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry Combined with Chemometrics for Protein Profiling and Classification of Boiled and Extruded Quinoa from Conventional and Organic Crops

Quinoa is an Andean crop that stands out as a high-quality protein-rich and gluten-free food. However, its increasing popularity exposes quinoa products to the potential risk of adulteration with cheaper cereals. Consequently, there is a need for novel methodologies to accurately characterize the composition of quinoa, which is influenced not only by the variety type but also by the farming and processing conditions. In this study, we present a rapid and straightforward method based on matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) to generate global fingerprints of quinoa proteins from white quinoa varieties, which were cultivated under conventional and organic farming and processed through boiling and extrusion. The mass spectra of the different protein extracts were processed using the MALDIquant software (version 1.19.3), detecting 49 proteins (with 31 tentatively identified). Intensity values from these proteins were then considered protein fingerprints for multivariate data analysis. Our results revealed reliable partial least squares-discriminant analysis (PLS-DA) classification models for distinguishing between farming and processing conditions, and the detected proteins that were critical for differentiation. They confirm the effectiveness of tracing the agricultural origins and technological treatments of quinoa grains through protein fingerprinting by MALDI-TOF-MS and chemometrics. This untargeted approach offers promising applications in food control and the food-processing industry.

Optimizing an Organic Method of Sugar Beet Cultivation and Yield Gap Decrease in Northern Poland

In the period of 2016–2018, two series of field studies on organic sugar beet growing (Beta vulgaris L.) were carried out in northern Poland on Luvisol loamy soil (medium–heavy) soil in Bałcyny and Płonne. The aim of this study was to decrease the yield gap between organic and conventional beets. Factors to increase the yield of organic beet were differentiated fertilization (cattle farmyard manure (FYM), compost, and Bioilsa) and choice of varieties (Eliska, Jampol, and Sobieski). The reference point was the conventional cultivation of the same sugar beet varieties, fertilized with manure and NPK mineral fertilizers, the prevailing standard of sugar beet cultivation in Poland. High sugar beet root yields exceeding the average yield in Poland by 25–30% were obtained in both studies, both in conventional and organic cultivation. Higher root and white sugar yields were obtained in the study conducted at Płonne (with similar soil conditions to those at Bałcyny), but they were characterized by higher temperatures during the growing season. The lowest root yields in both experiments were obtained by fertilizing the organic beet with compost (66.1 t per ha in Bałcyny and 78.13 t per ha in Płonne), which were 10.8% and 8.5% lower than the conventional crop, respectively. Higher root yields in organic cultivation were obtained by fertilizing the sugar beet with FYM, which reduced the differences from conventional beet to 7.7% in the study in Bałcyny and 2.1% in the study in Płonne. Thus, the results showed no need to convert cattle FYM to compost. The highest root yields in organic cultivation were obtained by fertilizing the sugar beet with Bioilsa N 12.5 supplemented with mineral fertilization of K, Mg, and S (Patentkali). This fertilization provided a yield of 78.1 t of roots per ha in Bałcyny, which is a reduction in the yield gap to 1.4%, a statistically insignificant value. Moreover, in the study at Płonne, organic sugar beet fertilized with Bioilsa and Patentkali yielded 86.7 t of roots per ha, compared to 85.6 t per ha of conventional beet, so a yield gap was not seen here. The choice of varieties was also of great importance for root and pure sugar yields in both farming systems. The lowest yields were obtained from the Eliska variety, and at Bałcyny, a change of beet cultivar to Jampol increased the organic root yield from 68.8 t per ha to 76.0 t per ha, while reducing the yield gap from 10.1% to 2.2%. At Płonne, replacing the Eliska variety with Jampol reduced the yield gap between organic and conventional roots from 6.6% to 0.3%.

Soil microbiota resilience in a two-decade long-term experiment comparing an organic and a conventional cropping system

The effect of conventional and organic management in agriculture impacts not only economic and food quality aspects but potentially all biological components of the environment where these activities occur, including soil microorganisms. While there is generally positive appreciation for organic agriculture's role in organic matter accumulation, its beneficial effects on soil microbiota are a matter of debate, mostly due to the varying conditions in which the comparisons are made. To minimize the impact of distant locations, soils were sampled from nearby fields managed separately with the same rotation schemes for 18 years with conventional low-impact and organic agriculture methods. Samples from six different crops were compared using metabarcoding and metabolomic fingerprinting. The major differences were found between late summer and spring, whereas the variations between the beginning and the end of the spring were neither large nor significant. Some significant differences were found between the microbiota of organic vs. conventional management, particularly between r- and k-strategist microorganisms. While other studies found very little differences between microbiota of differently managed soils after shorter time periods, this work highlights that nearly two decades of separate management are necessary to induce significant variations in the microbiota. This suggests a strong resilience of soil populations and the need for very long-term strategies in agriculture to effect significant changes in soil quality.

Duckweed (Lemna minor D0158): a promising protein source for food security

Duckweeds, recognized as the fastest growing aquatic flowering plants, exhibit substantial biomass production. Recently, they have been emerged as a potential industrial crop for efficient and eco-friendly protein production and nutrient recovery compared to conventional crops. The objective of the study was to determine the biomass accumulation rate, protein content and amino acid analysis of duckweeds (Lemna minor D0158).We cultured L. minor D0158 from its preserved state in the gene bank into both aseptic (in-vitro) and open condition at controlled room. The medium was Hoagland Solution (HS) mixed with sucrose in in-vitro condition while 1/5 concentration of HS (without sucrose) was in the open condition. Subsequently, we determined the dry biomass growth by calculating the weight difference adopting the Bergmann Method, and then calculated the protein percentage following the Kjeldahl Method. Moreover, the amino acid profiling was obtained using the Hydrolysis and Liquid Chromatography Technique. Later on, we compared the results with those of the other duckweeds and soybean together with the FAO requirements. We found that L. minor D0158 possessed the dry biomass growth rate of 6.72 g/m2/d with 33.13% protein content within 7-day cultivation period. Moreover, it exhibited significantly higher levels of branched chain amino acids (BCCAs) than soybean and met the FAO requirements. However, methionine (Met) content was found to be slightly low. The study suggested that L. minor D0158 might offer a sustainable solution for protein food security in future.

Crop Suggestive System through Soil Property Characterization using IoT

The emergence of Internet of Things (IoT) technology has brought about a significant transformation in multiple sectors, including agriculture, by facilitating data- driven decision-making and real-time monitoring. In this work, we present a novel Internet of Things (IoT) agricultural suggestion system that uses soil property characterization to enable accurate crop management and selection. Our technology seeks to help farmers optimize agricultural yields while minimizing resource usage and environmental impact by combining IoT sensors with modern data analytics. Our system's primary feature is the installation of Internet of Things (IoT) sensors throughout fields to continuously collect data on important soil attributes. These characteristics include salinity, pH values, temperature, moisture content, nutrient concentrations, and organic matter content. This data is wirelessly transmitted by the sensors to a cloud platform or centralized database, where it is thoroughly analyzed. One of the many difficulties facing modern agriculture is choosing crops optimally to maximize yields while minimizing environmental effect. Conventional crop selection techniques sometimes rely on manual soil testing or broad suggestions, which produces less than ideal results and inefficiencies. A novel method using the Internet of Things (IoT) is suggested to address this: a Crop Suggestive System using Soil Property Characterization (CSS-SPC). Using Internet of Things sensors, this system continuously monitors and analyzes soil parameters in real-time, giving farmers customized crop recommendations depending on the unique conditions of their property. Crop rotations, soil amendments, and irrigation schedule optimization are made possible for farmers through smooth planning and decision-making that ismade possible by integration with current farm management systems. Farmers' ongoing input on the effectiveness ofsuggested crops guarantees the system's accuracy and continued applicability

Kachri melon (a non-dessert form of Cucumis melo) diversity, germplasm utilization and varietal development under hot arid climate: Approaches and realization

The native crop plants genetic resource is very essential for nature’s resilient, region and season-specific varietal development and is also used in breeding programmes for resistance towards abiotic and biotic factors. Kachri and mat-kaachr or kachri melon (a non–dessert form of Cucumis melo var. callosus and agrestis) is an un-tapped arid zone cucurbit vegetable. Their vine plants are annual and short-duration in growth habit, and bearing 10.2–220.5 g weight fruits which are edible at maturity and unique in taste with ripening stages. It is wild and weedy types or semi-domesticated land-races and pre-dominantly grown mixed with the traditional farming in the north-western part of India. Intensive explorations and surveys were conducted in the state of Rajasthan from the year 1994 to 2001, and about 625 accessions were collected and studied over the period (1994 to 2012), and out of them, 68 germplasm lines were maintained for the conservation of regional diversity. The germplasm is evaluated repeatedly and characterized and categorized based on the plant morphology, maturity, utility of fruits and size, shape and skin colour of the mature fruits. On the basis of horticultural traits, fruit size, quality and yield components under the heat-stressed arid environment, the genotypes AHK-5, AHK-13, AHK-26, AHK-40, AHK-43, AHK-99, AHK-109, AHK-119, AHK-155, AHK-200, AHK-202, AHK-356, AHK-411, AHK-564 and AHK-572 were found the most promising and utilized in breeding programme. Unique quality, better fruit yielding, early harvesting and multiple stresses tolerating varieties, namely AHK-119 and AHK-200, developed for commercial cultivation. The development and recommendations of kachri melon production technology by ICAR-CIAH, Bikaner resulted in uniform and higher fruit yield (95–110 q/ha) as rainy and summer season harvest and now, its cultivation become much profit-making among the growers as a climate-smart crop. With the HBCPSMA concept, khejri and kachri technology exhibited high productivity of resources and family employment, and also returns @ Rs. 75,000–2,25,000 in comparison to the conventional cropping systems (Rs. 23,000–42,000) per ha/year under rainfed farming.

Biodiesel production from microalgae oils: A critical review

The global energy demand is expected to rise due to improved living standards, population growth, and urbanization. It underscores the need to explore alternative energy sources. Biodiesel, derived from renewable feedstock, is considered a promising solution to meet future energy needs while addressing concerns about dwindling fossil fuel reserves and environmental issues. Microalgal oils are identified as third-generation feedstock for biofuels production due to their advantages over conventional edible crops and non-edible oils, which face limitations in availability and yield. Microalgal oils are particularly significant because edible oils serve as food sources, and non-edible oil resources have slow growth rate as well as less oil yields. For biodiesel derived from any feedstock, meeting specific physical and chemical properties to comply with biodiesel standards. Therefore, thoroughly examining the conversion process from microalgal oil to biodiesel is necessary. This study explores various aspects of microalgal oils as biodiesel feedstock, including different microalgal species and their oil content, technologies used for biodiesel production from microalgal oils and biomass, and biodiesel standards and characterization across other countries. Techno-economics and Life Cycle Assessment are applied in this study to evaluate the economic viability and environmental impact of microalgae-based processes, addressing challenges such as data availability, uncertainty, and stakeholder engagement. This review highlights a significant opportunity to produce biodiesel from microalgal feedstock, which could contribute to future biodiesel production and provide a sustainable alternative to conventional diesel fuels.

One-time conventional tillage, crop diversification and mulching enhanced hydro-physical properties of a tropical sandy loam soil

One-time conventional tillage, crop diversification and mulching enhanced hydro-physical properties of a tropical sandy loam soil

Macroalgae as a sustainable biostimulant for crop production according to techno-economic and environmental criteria

One of the main hotspots in the agricultural sector is related to the extensive use of fertilizers and pesticides, which leads to direct environmental impacts, such as eutrophication, and indirect ones, such as the energy demand associated with their production. Faced with these limitations, the use of biostimulants has emerged as a suitable and effective strategy to improve crop productivity, avoid the use of chemicals and promote a more sustainable agricultural sector. This manuscript addresses the valorization of macroalgae for the production of biostimulants for crop cultivation according to three possible scenarios: steam autoclaving (SAE), boiling (BE), and supercritical fluid extraction (SFE). In order to evaluate their ecological potential, both techno-economic and environmental assessments have been developed, following the life cycle assessment methodology. The results obtained show that, from an environmental point of view, the use of energy resources and CO2, in the case of the SFE scenario, makes a significant contribution to the environmental profile. The optimization of the process could contribute to a reduction of the impact in the range of 12 %–41 %, which increases the sustainable potential of the biostimulant production. On the other hand, regarding the economic study, all scenarios are considered economically viable, since a minimum selling price (MSP) similar to the market average is obtained. However, by improving the process yield and the consumption of energy resources and materials, the MSP could be reduced by 19.81 %. In addition, this manuscript also shows that the application of this biostimulant in wheat production contributes to a significant reduction in environmental impact compared to a conventional crop stimulant.

Farming system diversification: An insight on strengthening the livelihood in a hilly ecosystem

To make Indian agriculture remunerative, and enhance farmers’ income, the Government of India initiated a mission for doubling the farmers’ income (DFI) by 2022. For DFI under a conventional cropping system, the agriculture sector needs to grow @15% per annum. Therefore, there is a need for reorienting the conventional cropping system with a more productive alternative integrated farming system, combining on and off-farm occupations with high technological support. With this background, the present study was carried out in a cluster of villages where interventions through a research institution (Farmer FIRST project) were made. Such interventions were undertaken in a cluster of 7 villages involving 500 farm families (2016–19). The technological gaps were identified through benchmark surveys using participatory rural appraisal (PRA) and extensive farmers' group discussions. During this, farmers’ skills and managerial capabilities were explored, and 16 interventions of various farming modules and sub-modules attributed to higher income were identified and implemented. The farmers were continuously provided technological and partial input support in terms of capacity building and seeds, fertilisers and similar others. The results indicated that mushroom production had high potential for supplementing farm income (117% per farm family). The income from food grains increased by 81% whereas, income from seasonal and off-season vegetable crops increased by more than double. Dairy farming exhibited 52.38% increase in income. In absolute terms, the dairy had maximum contribution in increasing income by ₹24,014 followed by food grains (₹13,251). The intervention modules increased the average per-farm family income by ₹46,979, which was highly significant (P<0.01%). The income of 40% of the farm families increased by more than double, while the income of 1% of the farmers increased by >75% in just 2 years. Overall, when four modules and sub-modules of the model were put together, the total farm income per family increased by 67% from ₹70,290 (2016–17) to ₹1,17,269 (2018–19).

Optimizing photosynthetic photon flux density and light quality for maximizing space use efficacy in edamame at the vegetative growth stage

Compared with conventional crop cultivation in greenhouses or fields, plant factories with artificial light (PFAL) have advantages in the highly efficient use of space, energy, and resources available for cultivation. However, few studies on environmental controls for improving the space use efficacy (SUE) of PFAL in the production of edamame, a vegetable soybean, have been reported. Therefore, developing an environmental control method for high productivity with minimal space and energy requirements is of high priority. The aims of this study were to (1) identify the optimal photosynthetic photon flux density (PPFD) and light quality to enhance the SUE of edamame at the vegetative growth stage, and (2) examine the effects of PPFD, light quality, and their interaction on edamame plant growth at the vegetative stage. SUE is defined as the crop biomass produced per unit cubic volume of cultivation during the growth period. We examined three PPFD treatments (300, 500, and 700 μmol m−2 s−1) with three color temperature LED lamps (3,000, 5,000, and 6,500 K), for a total of nine treatments. The results demonstrated that, under the same light quality treatment, higher PPFDs resulted in larger fresh and dry weights of all organs, higher stem length, and lower specific leaf area. Under the same PPFD treatment, a high ratio of blue (400–499 nm) to red (600–699 nm) photon flux density increased the plant height but decreased the projected leaf area. The values of SUE at 700 μmol m−2 s−1 increased by 213, 163, and 92% with 3,000, 5,000, and 6,500 K, respectively compared with those at 300 μmol m−2 s−1. The values of SUE at 700 μmol m−2 s−1 increased by 34 and 23% in 5,000 and 6,500 K treatments, respectively compared with that in the 3,000 K treatment. In conclusion, a combination of 700 μmol m−2 s−1 PPFD and 5,000 K color temperature is the suitable condition to increase the SUE of edamame at the vegetative growth stage in a PFAL.

Salinity effects on germination of Portulaca oleracea L.: A multipurpose halophyte from arid rangelands

Salt resistance studies have, unfortunately, mainly been focused on conventional crops, with very few studies being conducted on the potential of available halophytes as new crops in the future. Portulaca oleracea L. has been listed as one of the most used medicinal plants by the World Health Organization as an edible halophyte. It is a fast-growing herbaceous annual with high nutritional relevance. The present work was designed to determine the effect of six soluble salts (NaCl, Na2SO4, KCl, CaCl2, CaCO3, and MgCl2) on germination of P. oleracea seeds. The effect of salinity was tested on final germination percentage (FGP%), and germination tolerance index (GTI%) using five concentrations (0, 200, 300, 400, and 600 mM) of each salt. In addition, laboratory experiments were conducted to assess the effects of salinity on germination recovery from high saline conditions (600 mM). Salinity level and salt composition significantly influenced germination attributes. P. oleracea seeds were non-dormant, exhibited approximately 100% germination in distilled water. Both FGP and GTI gradually decreased with increasing salinity. This study showed that seeds of P. oleracea can germinate under 300 mM in all tested salts. The salts causing germination inhibition exhibited specificity, with an increasing trend observed in the following sequence: MgCl2 > Na2SO4 > NaCl > KCl > CaCl2 > CaCO3. Transferring ungerminated seeds from 600 mM to distilled water recovered their germination ability. Based on these results, we can conclude that P. oleracea is a high salt-tolerant species that can tolerate a variety of salts found in soil. Therefore, P. oleracea may be considered a promising species for improving ecological balance in saline soils.

Ultrasonication followed by aqueous two-phase system for extraction, on-site modification and isolation of microalgal starch with reduced digestibility

Microalgae are new and sustainable sources of starch with higher productivity and flexible production modes than conventional terrestrial crops, but the downstream processes need further development. Here, ultrasonication (with power of 200 W or 300 W and duration of 10, 15, 20, or 25 min) was applied to simultaneously extract and modify starch from a marine microalga Tetraselmis subcordiformis for reducing the digestibility, and an aqueous two-phase system (ATPS) of ethanol/NaH2PO4 was then used to isolate the starches with varied properties. Increasing ultrasonic duration facilitated the partition of starch into the bottom pellet, while enhancing the ultrasonic power was conducive to the allocation in the interphase of the ATPS. The overall starch recovery yield reached 73 ∼ 87 % and showed no significant difference among the ultrasonic conditions tested. The sequential ultrasonication-ATPS process successfully enriched the starch with purities up to 65 % ∼ 88 %, which was among the top levels reported in microalgal starch isolated. Ultrasonication produced more amylose which was mainly fractionated into the interface of the ATPS. The digestibility of the starch was altered under different ultrasonic conditions and varied from different ATPS phases as well, with the one under the ultrasonic power of 200 W for 15 min at the bottom pellet having the highest resistant starch content (RS, 39.7 %). The structural and compositional analysis evidenced that the ultrasonication-ATPS process could exert impacts on the digestibility through altering the surface roughness and fissures of the starch granules, modulating the impurity compositions (protein and lipid) that could interact with starch, and modifying the long- and short-range ordered structures. The developed ultrasonication-ATPS process provided novel insights into the mechanism and strategy for efficient production of functional starch from microalgae with a potential in industrial application.

Biomarkers of oxidative stress and bioaccumulation of trace metals in waterbirds from different rice fields systems

AbstractWe compared trace metal concentrations (Pb, Zn, Cd, Cu) in feathers and biomarkers in muscle and liver tissue of waterbirds from organic and conventional irrigated rice farms in South Brazil. Cu and Pb concentrations were higher in waterbirds from conventional farms, whereas Cd and Zn levels were elevated in organic farms. Birds foraging in organic farms exhibited lower CAT and SOD activity and higher NPSH, LPO, and PC concentrations compared to those in conventional farms. Higher Cu and Pb concentrations were associated with elevated SOD and CAT activity, more prevalent in birds frequenting conventional farms. Conversely, birds with higher Cd and Zn concentrations showed increased NPSH, LPO, and PC levels and were more common in organic farms. Our study underscores complex differences in trace metal accumulation and oxidative stress biomarkers among waterbirds in organic and conventional rice crops.

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.

Evaluation of Organic and Synthetic Herbicide Applications on Weed Suppression in a Conventional Cropping System in Louisiana

Evaluation of Organic and Synthetic Herbicide Applications on Weed Suppression in a Conventional Cropping System in Louisiana

Faba bean and spring barley in sequence with catch crops: Grain yields and nitrate leaching

Context/ProblemImporting protein into Europe is causing sustainability challenges, which has resulted in an increasing European interest in locally growing faba bean as a protein source. There is, however, a concern that this may result in higher nitrate leaching compared with conventional cereal-based systems. Objective/Research questionWe investigated the risk of nitrate leaching and its mitigation strategy after growing faba bean with catch crops within a conventional European cropping system that also includes catch crops in spring barley. MethodsWe conducted a field experiment with faba bean (Vicia faba L.) and three catch crops (chicory (Cichorium intybus L.), perennial ryegrass (Lolium perenne L.) and winter rye (Secale cereale L.)) grown in sequence with spring barley (Hordeum vulgare L.) and replicated in time over a period of three years. Continuous spring barley with catch crops (perennial ryegrass and fodder radish (Raphanus sativus L.)) were used as a reference. Measurements included grain yield and grain nitrogen (N) of the main crops, aboveground biomass and N yield of the catch crops, and nitrate leaching. ResultsGrain yield and grain N of faba bean grown with undersown catch crops were not statistically different than without catch crop and post-harvest sown catch crops. Catch crops with faba bean had lower aboveground biomass and N yield than with spring barley. Faba bean as pre-crop compensated for the reduced amount of fertilizer input and also increased the grain yield and grain N of the subsequent spring barley. In 2020–21, nitrate leaching from both spring barley and faba bean without catch crops was not statistically different, with an average of 64 kg NO3-N ha−1. In contrast, in 2021–22, nitrate leaching after faba bean without catch crops was higher with 104 kg NO3-N ha−1, compared with spring barley with 68 kg NO3-N ha−1. Catch crops significantly reduced nitrate leaching on average by up to 55 kg NO3-N ha−1 from faba bean and 62 kg NO3-N ha−1 from spring barley fields. ConclusionsThe study reveals that growing faba bean can reduce N fertilizer input without compromising the grain yield and grain N of following spring barley. Variable nitrate leaching between years from faba bean requires more research on diverse pedo-climatic and agronomic conditions to better assess nitrate leaching risks and reduction strategies. Implications or significanceThese results will aid in designing cropping systems including faba bean and catch crops combinations to reduce N fertilizer input and nitrate leaching risks and improve protein sufficiency.

High-Resolution Lipidomics Reveals Influence of Biomass and Pretreatment Process on the Composition of Extracted Algae Oils As Feedstock for Sustainable Aviation Fuels.

The increasing demand for sustainable aviation fuel (SAF) creates a need for innovative biomass and lipid sources with compositions that are compatible with refineries. Algae-derived oils present an opportunity to supply a process-compatible lipid feedstock at yields higher than those of conventional oilseed crops. With few documented reports on chemical composition, the process readiness remains elusive. We present data on extraction efficiency, yield, and purity of lipids from algae with and without the application of a low-concentration sulfuric acid pretreatment of the biomass. The pretreatment process increased the oil yield and positively impacted the quality of the extracted oils. Results from fatty acid and lipidomics analysis revealed that the low-lipid biomass sources extracted 70-80% of the available lipids, and the non-fatty acid co-extractants exceeded 40% of the extracted oils. For a high-lipid algae sample, derived from a genetically engineered strain, we show >90% extraction yield with >85% FAME purity. This work provides insights into the composition of algae-derived oils and quality metrics that are essential to determining the viability of lipid hydroprocessing to SAF.