Traditional Crops Research Articles

Climate Crisis and Agricultural Response: Climate Resilient Crops for Sustainability in Food Production Systems

Climate change encompasses altered levels of temperature and humidity, variability in the rainfall pattern, fluctuations in weather parameters, rise in ambient CO2 levels, emission of greenhouse gases, global warming, etc. that results in extreme events and disasters as cyclones, floods, droughts, salinity, nutrient and heavy metal stress, change in arthropod diversity and emergence of new invasive pests. This results in un-usual effects in agro-ecosystems leading to changes in cropping patterns, crop diversity, and their interaction with biotic and abiotic stress factors, threatening livelihood, food, and nutritional security. Population displacement, declining food productivity, and vulnerable agro-ecosystems are the major consequences of altered meteorological events that occur due to climate change. Therefore, substitution of traditional crops with crops that exhibit resilience to climate crisis is the need of the hour. Smart breeding approaches and precision farming technologies as remote sensing and spectral analysis, artificial intelligence, machine learning, speed breeding, genome analysis, genetic manipulation, gene drive systems, system biology study, omics approaches, etc can make agricultural production climate resilient and sustainable. Response of biofortified crops under changing climate must also be assessed to improve the crop productivity and output.

A computational enzymatic optimization for fixing carbon dioxide to starch

Carbon dioxide is fixed and processed into starch by the plants photosynthesis through complicated molecular pathways. While planting and cultivating crops are the major ways to harvest starch, an artificial anabolic pathway has recently been realized in China. Traditional crop production demands extended harvest periods, extensive land, and substantial water use. In contrast, the artificial pathway enhances starch synthesis efficiently, using fewer resources for a more sustainable approach. In 2021, Chinese researchers reported the anabolic starch artificial pathway (ASAP) to synthesize starch in vitro. Although the previous research established a milestone, steps need to be optimized. In this work, enzymatic starch synthesis is chosen to be further engineered, building mutants with similar catalytic functions. Computational tools are used to build an iterative docking-mutating simulation (IDMS). It can automatically finish the cycle of protein mutations and docking. Autodock and Rosetta are used in the coding. 445 different protein mutants are generated and analyzed in silico, among which the best five were chosen for experimental investigation. In the experimental analysis, mutant E shows nearly the same catalytic efficiency as the wild-type in the first hour, with a 2.5-fold expression rate.

Assessing the Role and Capacity of Water Management Organizations for Ensuring Delta Food Security in Bangladesh

The coastal zone, consisting of one-third country's area, is the most climate-vulnerable region of Bangladesh. The country has invested significantly in coastal zone through the construction and rehabilitation of polders. Despite vast opportunities, land productivity in the polders is very low due to poor water governance and management. To improve in-polder water management, the responsibility of operation and maintenance of the polder water infrastructure has been transferred to Water Management Organizations (WMOs) since 2001. WMOs are currently voluntary organizations but are very important for micro-level agricultural water management. A study was conducted in 2017 and 2018 in a medium saline polder; with a major focus on organizational behaviour: hierarchy in decision-making, transparency, financial accountability, leadership, internal communication, and motivational incentives of the WMOs. The data were collected through a structured questionnaire from 192 respondents of randomly selected eight Water Management Groups (WMGs – the lowest tier of WMOs), out of 40 WMGs of the polder. The results revealed that the WMGs operations are not fully participatory in principle yet. Even the transparency, financial accountability, leadership, and internal communications within WMGs are not strong enough to take the organizational responsibility to address future challenges in food security of the climate-vulnerable polder communities. Improving drainage through efficient water management showed a yield gain of at least 1.5 t/ha in the wet season only. In addition, improved drainage fosters sustainable year-round cropping with high-yielding, high-value and nutrition-rich crops with 2 to 3 times higher productivity than the traditional cropping system. Therefore, investment in water governance particularly in improving drainage in the polders could be a major game-changer in sustaining the food security of the climate-vulnerable polder communities of Bangladesh. The study identified the knowledge gap as a significant concern that demands the need for capacity building of the WMOs.

Creating Climate-Resilient Crops by Increasing Drought, Heat, and Salt Tolerance.

Over the years, the changes in the agriculture industry have been inevitable, considering the need to feed the growing population. As the world population continues to grow, food security has become challenged. Resources such as arable land and freshwater have become scarce due to quick urbanization in developing countries and anthropologic activities; expanding agricultural production areas is not an option. Environmental and climatic factors such as drought, heat, and salt stresses pose serious threats to food production worldwide. Therefore, the need to utilize the remaining arable land and water effectively and efficiently and to maximize the yield to support the increasing food demand has become crucial. It is essential to develop climate-resilient crops that will outperform traditional crops under any abiotic stress conditions such as heat, drought, and salt, as well as these stresses in any combinations. This review provides a glimpse of how plant breeding in agriculture has evolved to overcome the harsh environmental conditions and what the future would be like.

Productivity of crop rotations with different types of fallow and their effect on the humus content in sod-podzolic soil the Middle Urals

The research was carried out in the conditions of the Perm Region on sod-podzolic heavy loamy soils in a long stationary plot trial, laid down in 1977. The purpose of the research is to study the effect of various types of fallow on crop rotation productivity and humus content in the soil. The data are given for two rotations (2009–2022) of fallow-grain–grass crop rotations with various types of fallow – with manurial, sown with clover, sown with melilot, sideral with clover and sideral with melilot – without mineral fertilizers and with fertilizers (N60P30K60). It was found that in the sown fallows, the mass of root and mowing plant residues of meadow clover and yellow melilot, depending on the nutrition background, reaches 4.08–4.36 t/ha with a nitrogen content of 41.8–46.9 kg/ha, phosphorus 16.7–18.6 kg/ha and potassium 42.7–69.6 kg/ha. In sideral fallow with clover and clover biomass, 6.99–9.04 t/ha and 6.83–8.53 t/ha of dry matter with a content of 133.5–148.1 kg/ha of nitrogen, 34.3–41.2 phosphorus and 121.2–148.9 potassium were supplied to the soil, respectively. The application of organic fertilizers in the fallow field contributed to an increase in the humus content by 0.19 abs.% to the initial (2.04 %) in the variant without mineral fertilizers and by 0.69 abs.% in the variant with the introduction of mineral fertilizers to the initial (2.08 %) Clover sideral fallow also contributed to an increase in the humus content in the soil by – 0.38–0.52 abs.%. There was an increased productivity of crop rotation with sideral melilot fallow (2.22–2.25 t/ha of grain units per year) relative to the traditional crop rotation with pure fallow (2.08–2.11 t/ha of grain units per year). Cultivation of crops in all studied crop rotations was energetically efficient, the energy efficiency coefficient was 3.63...4.48 in the variants without mineral fertilizers, against the background of NRK – 2.38...3.21.

Illuminating the path to sustainable rice harvesting: A solar-based paddy harvester

Paddy is the most important agricultural crop product in Bangladesh since it is widely used in daily life as a main meal intake. Currently, traditional manual harvesting process is widely used to harvest paddy grains in Bangladesh. However, manual harvesting is laborious, time-consuming, and costly. Utilization of modern machineries such as combined paddy harvester machines can increase grain productivity while reducing significantly the number of labour-hours. Combine rice harvesters possess traditional diesel engine that burns gasoline fuels i.e. diesel. The overriding concern of this diesel oil combustion is the production of greenhouse gases that adversely affect the environment. In addition, reports suggest that oil reserve might be depleted to zero in next 40 years. This manuscript presents a comprehensive review on the paddy grain production statistics, the pros and cons of traditional rice crop harvesting processes, and the historical development of mechanization in the agricultural sectors of Bangladesh. It also presents a novel design route to convert commercial diesel-driven combine paddy harvester machine to solar energy-operated combine rice harvester machine with its required accessories. In particular, a new design concept with a remarkable cost estimation process of solar-powered harvesters is proposed. A field study has been conducted in Sonagazi Upazilla under Feni district of Bangladesh to evaluate the potential use of the proposed solar-powered harvester machine. Our study suggests that solar-driven rice harvester is a promising concept in the paddy crop harvesting process and it will reduce the overall costs for short and long-term uses compared to estimated costs of commercial diesel-driven harvesters. To combat the scarcity of gasoline in the future, it is an obvious choice to bring a paradigm shift in solar energy harvesting and its utilization in the agricultural sectors of Bangladesh. It is expected that the proposed solar-driven rice harvester concepts with their in-depth analysis (including costs) would be able to draw attention to business entrepreneurs and investors who will be excited to initiate a program to manufacture solar-powered rice harvester machines in practice.

Comprehensive antifungal investigation of natural plant extracts against Neosartorya spp. (Aspergillus spp.) of agriculturally significant microbiological contaminants and shaping their metabolic profile

Fungi belonging to the genus Neosartorya (teleomorph of Aspergillus spp.) are of great concern in the production and storage of berries and fruit-based products, mainly due to the production of thermoresistant ascospores that cause food spoilage and possible secretion of mycotoxins. We initially tested the antifungal effect of six natural extracts against 20 isolates of Neosartorya spp. using a traditional inhibition test on Petri dishes. Tested isolates did not respond uniformly, creating 5 groups of descending sensitivity. Ten isolates best representing of the established sensitivity clusters were chosen for further investigation using a Biolog™ MT2 microplate assay with the same 6 natural extracts. Additionally, to test for metabolic profile changes, we used a Biolog™ FF microplate assay after pre-incubation with marigold extract. All natural extracts had an inhibitory effect on Neosartorya spp. growth and impacted its metabolism. Lavender and tea tree oil extracts at a concentration of 1000 µg mL−1 presented the strongest antifungal effect during the inhibition test, however all extracts exhibited inhibitory properties at even the lowest dose (5 µg mL−1). The fungal stress response in the presence of marigold extract was characterized by a decrease of amino acids and carbohydrates consumption and an uptake of carboxylic acids on the FF microplates, where the 10 studied isolates also presented differences in their innate resilience, creating 3 distinctive sensitivity groups of high, average and low sensitivity. The results confirm that natural plant extracts and essential oils inhibit and alter the growth and metabolism of Neosartorya spp. suggesting a possible future use in sustainable agriculture as an alternative to chemical fungicides used in traditional crop protection.

System of wheat intensification (SWI): Effects on lodging resistance, photosynthetic efficiency, soil biomes, and water productivity.

Intense cultivation with narrow row spacing in wheat, a common practice in the Indo-Gangetic plains of South Asia, renders the crop more susceptible to lodging during physiological maturity. This susceptibility, compounded by the use of traditional crop cultivars, has led to a substantial decline in overall crop productivity. In response to these challenges, a two-year field study on the system of wheat intensification (SWI) was conducted. The study involved three different cultivation methods in horizontal plots and four wheat genotypes in vertical plots, organized in a strip plot design. Our results exhibited that adoption of SWI at 20 cm × 20 cm resulted in significantly higher intercellular CO2 concentration (5.9-6.3%), transpiration rate (13.2-15.8%), stomatal conductance (55-59%), net photosynthetic rate (126-160%), and photosynthetically active radiation (PAR) interception (1.6-25.2%) over the existing conventional method (plant geometry 22.5 cm × continuous plant to plant spacing) of wheat cultivation. The lodging resistance capacity of both the lower and upper 3rd nodes was significantly higher in the SWI compared to other cultivation methods. Among different genotypes, HD 2967 demonstrated the highest recorded value for lodging resistance capacity, followed by HD 2851, HD 3086, and HD 2894. In addition, adoption of the SWI at 20 cm × 20 cm enhanced crop grain yield by 36.9-41.6%, and biological yield by 27.5-29.8%. Significantly higher soil dehydrogenase activity (12.06 μg TPF g-1 soil hr-1), arylsulfatase activity (82.8 μg p-nitro phenol g-1 soil hr-1), alkaline phosphatase activity (3.11 n moles ethylene g-1 soil hr-1), total polysaccharides, soil microbial biomass carbon, and soil chlorophyll content were also noted under SWI over conventional method of the production. Further, increased root volumes, surface root density and higher NPK uptake were recorded under SWI at 20×20 cm in comparison to rest of the treatments. Among the tested wheat genotypes, HD-2967 and HD-3086 had demonstrated notable increases in grain and biological yields, as well as improvements in the photosynthetically active radiation (PAR) and chlorophyll content. Therefore, adoption of SWI at 20 cm ×20 cm (square planting) with cultivars HD 2967 might be the best strategy for enhancing crop productivity and resource-use efficiency under the similar wheat growing conditions of India and similar agro-ecotypes of the globe.

Pantoea stewartii subsp. stewartii, the causative agent of Thai jackfruit’s bronzing disease and its possible host range in Vietnam

The bronzing disease of Thai jackfruit (Artocarpus heterophyllus Lam.) has recently appeared in Vietnam, causing a significant loss for farmers, but its control method is still restricted. In this study, we identified pathogens based on morphological and molecular characterizations. A total of 25 bacterial isolates were isolated from diseased samples. The bacterium produces white or yellow pigment in culture, is gram-negative, slightly pleomorphic, non-motile, facultatively anaerobic, short-rod, and catalase-positive. It hydrolyzes gelatin and starch but not tween 80, and produces acid from glucose, sucrose, and lactose. The bacterium does not produce indole and does not produce hypersensitivity to tobacco. The results of sequencing of the encoded region of synthesis of capsular polysaccharide (cpsD) and pathogenicity-related genes HrpS confirmed that the causative agent is Pantoea stewartii subsp. stewartii. The pathogen’s possible host range could be traditional jackfruit varieties, fruits, and crops such as durian, longan, mango, tomatoes, broccoli, pumpkin, cucumber, corn, rice, sweet potatoes, water spinach, peanuts, and green beans. The P. stewartii subsp. stewartii could enter the host plant cell through open wounds or natural openings such as stomata. The results confirmed the presence of P. stewartii subsp. stewartii in Vietnam and suggest that the jackfruit tree should not be planted in plantations with these crops to prevent cross-contamination and the spread of pathogens.

In-Depth Assessment of Key Factors Affecting Coffee Production in Tanzania

Coffee has been among the traditional cash crops and one of the main contributors to foreign earnings in Tanzania. Consequently, earnings from its exports have remained low due to various production challenges which in turn affects export growth. These challenges have never been properly and intensively recognized for better decision-making. Therefore, this study was set to provide an in-depth assessment and understanding of key factors affecting coffee production in Tanzania.The study used simple random sampling to collect information from 364 respondents in four highly coffee-growing districts in Ruvuma, Mbeya, and Songwe regions. Qualitative and quantitative data were collected through structured questionnaires from small-scale farmers. Data were then analyzed by using a statistical Package for Social Sciences (SPSS) and Excel. From the findings, poor agronomic practices such as inadequate application of fertilizer, poor pesticides and disease control, and aged low-yield coffee trees were found to be the main factors that strongly explain the relationship with low coffee production output due to their significant results. Furthermore, using regression the other variables found to significantly affect coffee production output level were limited access to finance and inadequate extension services. Based on the findings, sustainability of the coffee sector development, intensive government intervention is needed by putting more priority on training farmers best agronomic practices in the right way. This way, small farmers can be aware of the importance of the application of required agronomic practices as a key factor in the scale-up of productivity and production output. The Bank of Tanzania can also efficiently address the challenge of small-scale farmers in obtaining soft loans at a reasonable cost from financial institutions by creating an enabling environment. This should include the provision of a special loan facility to commercial banks connected with conditions to beneficial banks to lend to farmers at an indicative rate that can be affordable to small-scale coffee growers. These findings will inform policymakers and coffee stakeholders in the coffee value chain on the best actions and decision-making to enhance the sector's performance.

Unperforated film-covered planting contributes to improved film recovery rates and foxtail millet grain yields in sandy soils

Plastic film mulching improves the soil water content and temperature and, thus, contributes to enhanced grain yield in arid and semi-arid areas, such as Northwest China. However, in traditional film-covering methods, plastic films are difficult to recycle, causing environmental issues. Therefore, developing cultivation methods with enhanced film recovery rates is important for sustainable agricultural development. Here, we evaluated how the planting method affected the soil temperature, water content, film recovery rate, and grain yield by applying the following three planting patterns to the traditional crop, foxtail millet, in 2021–2022: no plastic film mulching (NP), plastic film mulching (MP), and planting on the film edge (PFE); in the latter, holes were not punched in the film and crops were planted approximately 5 cm from the film edge. The results for 2021 showed that the biomass ranged from 27.69 g to 33.76 g per plant, and the biomass was increased by 21.9% and 3.2% in PFE compared with NP and MP, respectively. However, in 2022, the biomass increased in PFE by 52.5% and 17.7% compared with NP and MP, respectively. In 2021, the highest grain yield was observed in PFE (2480 kg/hm2), followed by MP (2470 kg/hm2) and NP (2343 kg/hm2); in 2022, a significantly higher grain yield was observed in PFE than that in MP and NP. Although the soil temperature increased in PFE, it was not as high as in MP. The relatively higher soil temperature increased the root growth process, stimulated the production of root exudates (acetic acid and citric acid), and increased the soil enzyme (sucrase and urease) activity. Increases in organic acids and soil enzymes assisted in the decomposition of soil organic matter and induced relatively higher levels of available nutrients, such as nitrogen and phosphorus, and the higher root reuse rates contributed to higher grain yields. In addition, fewer holes were punched in the film of the PFE model, which improved film recovery, and the recovery rate of PFE was higher than that of MP. These results indicate that the proposed unperforated film-covered planting pattern is suitable for millet production in sandy soil.

Functional Differentiation of the Duplicated Gene BrrCIPK9 in Turnip (Brassica rapa var. rapa).

Gene duplication is a key biological process in the evolutionary history of plants and an important driving force for the diversification of genomic and genetic systems. Interactions between the calcium sensor calcineurin B-like protein (CBL) and its target, CBL-interacting protein kinase (CIPK), play important roles in the plant's response to various environmental stresses. As a food crop with important economic and research value, turnip (Brassica rapa var. rapa) has been well adapted to the environment of the Tibetan Plateau and become a traditional crop in the region. The BrrCIPK9 gene in turnip has not been characterized. In this study, two duplicated genes, BrrCIPK9.1 and BrrCIPK9.2, were screened from the turnip genome. Based on the phylogenetic analysis, BrrCIPK9.1 and BrrCIPK9.2 were found located in different sub-branches on the phylogenetic tree. Real-time fluorescence quantitative PCR analyses revealed their differential expression levels between the leaves and roots and in response to various stress treatments. The differences in their interactions with BrrCBLs were also revealed by yeast two-hybrid analyses. The results indicate that BrrCIPK9.1 and BrrCIPK9.2 have undergone Asparagine-alanine-phenylalanine (NAF) site divergence during turnip evolution, which has resulted in functional differences between them. Furthermore, BrrCIPK9.1 responded to high-pH (pH 8.5) stress, while BrrCIPK9.2 retained its ancestral function (low K+), thus providing further evidence of their functional divergence. These functional divergence genes facilitate turnip's good adaptation to the extreme environment of the Tibetan Plateau. In summary, the results of this study reveal the characteristics of the duplicated BrrCIPK9 genes and provide a basis for further functional studies of BrrCBLs-BrrCIPKs in turnip.

Genomic dissection of productivity, lodging, and morpho‐physiological traits in Eragrostis tef under contrasting water availabilities

Societal Impact StatementUnderutilized species (also known as orphan crops) present opportunities to increase crop diversity and food security. Such crops lack modern genetic tools and knowledge to facilitate efficient modern breeding approaches. A wide collection of tef (Eragrostis tef (Zucc.) Trotter) genotypes was used to identify genomic regions associated with productivity, lodging, and morpho‐physiological traits under contrasting water availabilities. The obtained results are expected to enhance modern breeding and improve tef productivity under traditional and modern cropping systems, thus improving farmers' livelihood and food security.Summary Tef (E. tef (Zucc.) Trotter) is an allotetraploid (2n = 4x = 40) C4 cereal crop, endemic to Ethiopia and mainly cultivated in the Horn of Africa. Tef is characterized by high grain and feed nutritional qualities and resilience to abiotic and biotic stresses; thus, it holds great potential to sustain food and nutrition security in Africa and other parts of the world. The objective of this study was to identify genomic regions associated with responses to contrasting water regimes, as a basis for future improvement. A tef diversity panel was genotyped with 28,837 single nucleotide polymorphisms (SNPs) and phenotyped for productivity, lodging, and morpho‐physiological traits along two seasons (2020 and 2021) under well‐watered and water‐limited treatments. A genome‐wide association study was performed to identify genomic regions associated with key traits for tef breeding. A total of 107 SNPs were associated with one or more of the studied traits, resulting in 138 marker–trait associations (MTAs) detected under both water treatments. Of these, 22 SNPs were associated with more than one trait, showing either multiple trait (pleiotropic) or multiple environment associations or both. A particularly strong association was found between grain yield, lodging, and time to heading. These findings open new avenues to further research on the genetic basis and physiological mechanisms underlying major traits in tef, as well as to marker‐assisted breeding of drought‐resilient tef cultivars.

Applied Deep Learning-Based Crop Yield Prediction: A Systematic Analysis of Current Developments and Potential Challenges

Agriculture is essential for global income, poverty reduction, and food security, with crop yield being a crucial measure in this field. Traditional crop yield prediction methods, reliant on subjective assessments such as farmers’ experiences, tend to be error-prone and lack precision across vast farming areas, especially in data-scarce regions. Recent advancements in data collection, notably through high-resolution sensors and the use of deep learning (DL), have significantly increased the accuracy and breadth of agricultural data, providing better support for policymakers and administrators. In our study, we conduct a systematic literature review to explore the application of DL in crop yield forecasting, underscoring its growing significance in enhancing yield predictions. Our approach enabled us to identify 92 relevant studies across four major scientific databases: the Directory of Open Access Journals (DOAJ), the Institute of Electrical and Electronics Engineers (IEEE), the Multidisciplinary Digital Publishing Institute (MDPI), and ScienceDirect. These studies, all empirical research published in the last eight years, met stringent selection criteria, including empirical validity, methodological clarity, and a minimum quality score, ensuring their rigorous research standards and relevance. Our in-depth analysis of these papers aimed to synthesize insights on the crops studied, DL models utilized, key input data types, and the specific challenges and prerequisites for accurate DL-based yield forecasting. Our findings reveal that convolutional neural networks and Long Short-Term Memory are the dominant deep learning architectures in crop yield prediction, with a focus on cereals like wheat (Triticum aestivum) and corn (Zea mays). Many studies leverage satellite imagery, but there is a growing trend towards using Unmanned Aerial Vehicles (UAVs) for data collection. Our review synthesizes global research, suggests future directions, and highlights key studies, acknowledging that results may vary across different databases and emphasizing the need for continual updates due to the evolving nature of the field.

Identification of breadfruit (Artocarpus altilis) and South American crops introduced during early settlement of Rapa Nui (Easter Island), as revealed through starch analysis.

Starch residue analysis was carried out on stone tools recovered from the bottom layer of the Anakena site on Rapa Nui (Easter Island). These deposits have been dated to AD 1000-1300 AD and so far, represent the earliest evidence of human settlement on this island. Twenty obsidian tools were analyzed. Analysis of 46 starch grains recovered from 20 obsidian tools from the earliest dated level of the Anakena site on Rapa Nui provides direct evidence for translocation of traditional crop plants at initial stages of the colonization of this island. The analysis of starch grains was based mainly on statistical methods for species identification but was complemented by visual inspection in some cases. Our results identify taxons previously unknown to have been cultivated on the island, such as breadfruit (Artocarpus altilis), Zingiber officinale (ginger), and starch grains of the Spondias dulcis and Inocarpus fagifer tropical trees. Additionally, starch grains of Colocasia esculenta (taro) and Dioscorea sp. (yam), both common species in Pacific agriculture, were identified. Furthermore, the presence of four American taxa Ipomoea batatas (sweet potato), Canna sp. (achira), Manihot esculenta (manioc), and Xanthosoma sp., was detected. The occurrence of Canna sp., M. esculenta, and Xanthosoma sp. starch grains suggests the translocation of previously not described South American cultivars into the Pacific. The detection of I. batatas from this site in Rapa Nui constitutes the earliest record of this cultigen in the Pacific. Our study provides direct evidence for translocation of a set of traditional Polynesian and South American crop plants at the initial stages of colonization in Rapa Nui.

Understanding the determinants of household cooking-fuel choice in sub-Saharan Africa: evidence from Nigeria

Abstract Overreliance on traditional cooking fuels by agricultural households poses a significant obstacle to achieving the United Nations Sustainable Development Goal 7 by 2030 in Nigeria. Despite the emerging recognition of remittances as a crucial factor influencing cooking-fuel choices in the energy-transition literature, there is a paucity of studies examining this influence in Nigeria. Using data from 4400 agricultural households sourced from the fourth wave of the Nigerian Living Standard Measurement Survey data sets, this study examined the influence of remittances on cooking-fuel choices, among other factors in Nigeria. Employing descriptive statistics and the multinomial logit regression model, the analysis reveals that traditional cooking fuels, including wood, crop residue and animal dung, continue to dominate the cooking-fuel landscape. The empirical result of the multinomial logit model showed that households that receive remittances are more likely to use modern cooking fuels. Furthermore, wealthier, more educated households with access to electricity are more likely to use modern and transitional cooking fuels than traditional cooking fuels. Based on the findings, the study suggests the incentivization of remittances into the country through the reduction in associated transaction costs and accelerated public infrastructural investment in affordable electricity and good road networks to connect rural areas to gas-supply networks to drive the transition to modern cooking energy. Additionally, educational and awareness campaigns about the health risks associated with traditional cooking energy, particularly indoor air pollution, should be encouraged, especially in rural areas.

Low-altitude remote sensing-based global 3D path planning for precision navigation of agriculture vehicles - beyond crop row detection

Field path planning provides the basis for the autonomous navigation of agricultural vehicles. Existing path planning approaches are constrained to a 2D plane, disregarding the impact of terrain factors on navigation tasks. Furthermore, these methods generate non-global paths, as evidenced by their inability to accommodate the headland turning area while performing path planning based on the actual crop growth in the farmland. Low-altitude remote sensing technology, characterized by its high spatial resolution, timely data acquisition, and strong terrain perception, holds great potential for application in autonomous navigation. This study aims to integrate low-altitude remote sensing technology with path-planning tasks for agricultural vehicles by constructing oblique photography models of fields. The objective is to achieve global 3D path planning leveraging advanced methodologies rooted in deep learning and image processing. Four main steps were included in the proposed method. Low-altitude remote sensing models of field blocks were constructed first. Secondly, the models were converted to image patches for dataset establishment. Thirdly, primary crop row identification was conducted by semantic segmentation. Finally, global 3D paths covering the farmland and headland areas were generated. Tea fields in hilly areas were used to test the algorithm. Experiments revealed that the proposed method could be adapted to different field shapes, row numbers, row spacing, and vehicle turning radii. The proposed method uses deep learning and image processing as the primary technical tools but goes beyond traditional crop row detection to form a global path-planning strategy. In addition, the elevation information enabled by the 3D detection manner allows agricultural vehicles to gain a comprehensive understanding of both their own position and that of their destination. The dataset and the code are available at: https://github.com/ZeroHeading/Global-3D-path-generation.git.

Influence of dietary supplementation with Lepidium meyenii (Maca) on sperm quality in dogs.

Maca is a traditional Andean crop used as a nutraceutical for the fertility-enhancing properties that are linked with antioxidant activity. The aim of this study was to evaluate, for the first time, the potential beneficial effects of oral Maca (Lepidium meyenii or Lepidium peruvianum) supplementation in improving reproductive performance in male dogs. Forty-eight male dogs of different breeds were enrolled in the study, fed the same maintenance diet, and exposed to the same environmental conditions. The subjects were divided into four groups of 12 dogs each: Subfertile treatment group, Subfertile control group, Normofertile treatment group, and Normofertile control group. The dogs in the treatment groups received Lepidium meyenii in their diet in a capsule formulation [75 mg/kg Maca extract 10:1, thickening agent (hydroxypropyl methylcellulose), ground rice], while the control groups received placebo capsule (starch). For each subject included in the study, the spermiogram was analyzed at three time points of the sperm cycle: at day 0 (T0), day 31 (T31), and day 62 (T62). Dietary supplementation with Maca in subfertile subjects resulted in a significant increase in ejaculate volume and total sperm count compared to the control group. This increase was also observed in normofertile subjects in the treatment group. In addition, total and progressive motility as well as sperm morphology were significantly improved in the groups treated with Maca compared to the control groups. The results thus highlight, for the first time, the potential efficacy of supplementation with 75 mg/kg of Maca extract daily in improving semen quality in dogs.

Conflict Mitigation Practices and Conservation Awareness of Orangutans: A Case Study from Tangkahan Ecotourism, Leuser Ecosystem, Indonesia

Killing orangutans in human-orangutan conflicts threatens their populations. Individuals with high conservation awareness tend to tolerate orangutans' crop foraging. In our study in Tangkahan ecotourism, Leuser Ecosystem, Indonesia, we examined local community mitigation methods and their understanding of orangutan conservation. We utilized a convenience sampling method for this study, primarily serving as a pilot study to test the questionnaire we had designed. This questionnaire consisted of open-ended questions used in semi-structured interviews. We conducted interviews with 16 respondents, all of whom willingly participated and allowed us to record their responses. Our findings revealed that the most commonly employed mitigation methods by the local community were the use of firecrackers and traditional crop guarding. Notably, these methods were non-lethal in nature, which aligns with the respondents' overall conservation awareness. All participants demonstrated knowledge of the protected status of orangutans, and some provided further insights into their rarity, endangerment, population decline, habitat degradation, and endemism. Their positive attitude likely stems from the impact of ecotourism.

A Review on Cost and Return of Medicinal and Aromatic Plants Cultivation in India

The purpose of this paper is to review the cost and return of medicinal and aromatic plants cultivation. Relevant and scholarly articles of various researchers were reviewed. The articles were searched using the keywords "medicinal and aromatic plants" along with cost and return, cultivation. Scientific platforms such as Google Scholar and Scopus were searched, along with, annual reports, magazines, newspapers, medicinal plants board websites etc. The reviews compiled collective information on cost and return, benefit cost ratio. Medicinal and aromatic plants provide a higher return compared to traditional crops. However, marketing is an important constraint in cultivation. Understanding the economics of cultivation of medicinal and aromatic plants is an important step in designing future policies. This paper tries to fill the gap and contributes literature on cost and return of cultivation of medicinal and aromatic plants, which may be helpful in improving the linkage of value chain of the sector.