Cultivated Area Research Articles

Genetic Diversity of Ralstonia solanacearum Causing Tobacco Bacterial Wilt in Fujian Province and Identification of Biocontrol Streptomyces sp.

Tobacco bacterial wilt is a highly destructive soilborne disease caused by the Ralstonia solanacearum species complex, exhibiting a significant risk to global flue-cured tobacco cultivation and resulting in substantial economic loss. In this study, 77 isolates were collected from three prominent flue-cured tobacco cultivation areas in Fujian, China (Nanping, Sanming, and Longyan), in 2021 and 2022. The isolated strains were classified through phylotype-specific multiplex polymerase chain reaction (Pmx-PCR) and physiological tests. The analysis showed that all the strains were associated with phylotype I, race 1, and biovar III. Subsequent phylogenetic analysis using partial egl gene sequences classified the 77 isolates into 5 distinct sequevars: 13, 15, 16, 17, and 34. Notably, a remarkable predominance of sequevar 15 was observed in Fujian Province, while sequevar 16 was first reported on tobacco in China, which was identified in other plants, expanding the understanding of its host range and distribution in the country. In addition, a Streptomyces strain extracted from the rhizosphere soil of tobacco was found to inhibit the growth of multiple sequevars of tobacco R. solanacearum, indicating its broad-spectrum antagonistic properties. Furthermore, pot experiments showed that the strain St35 effectively controlled tobacco bacterial wilt. The isolate St35 was conclusively identified as Streptomyces gancidicus according to the morphological and genetic features. In summary, the present study demonstrated the genetic diversity and distribution of tobacco R. solanacearum strains in the Fujian province of China, as well as the identification of a candidate biological control agent for the management of tobacco bacterial wilt.

Comparative Analysis of Nickel Adsorption by Natural Sisal Fiber and Treated with Citric Acid

Introduction: Removing nickel from wastewater is complex and costly, requiring research into alternatives with technical and economic solutions. An alternative would be the use of plant biomass. In the Northeast region of Brazil, one of these alternatives, with a large cultivation area, is sisal (Agave Sisaliana), which may have greater yields for this purpose through surface chemical treatment with citric acid, which inserts carboxylic groups into the structure of the plant fiber. Thus, the objective was to analyze the ability to remove nickel in solution by sisal fibers. Methodology: For this purpose, part of the sisal fibers was cut into 0.5 cm, washed and dried; initially treated with NaOH (0.1 mol/L); washed with distilled water and treated with citric acid (1.2 mol/L). The fibers were identified by FTIR; XRD; XRF and SEM. Adsorption tests were carried out with nickel solution for the parameters: kinetics, balance, influence of pH and adsorbent mass. Results: The XRF analysis demonstrated a greater presence of NiO adhered to the treated fiber (55.74%); FTIR confirmed the presence of non-ionized carbonyl in the region from 1700 to 1750 cm-1; the adsorption kinetic test demonstrated greater effectiveness of the treated fiber > 80%; an ideal adsorbent mass was observed to be 0.1g; the ideal pH for removal was 5.0 while the equilibrium test has the best Languimuir isotherm, the uncontrolled fiber obtained R2 = 0.9810 and the controlled fiber R2 = 0.9643. Conclusion: Therefore, it was observed that the treatment of sisal fiber with citric acid increases the removal efficiency of nickel ion in aqueous solution, presenting itself as a low-cost and widely available material.

Predicting potential and quality distribution of Anisodus tanguticus (Maxim.) Pascher under different climatic conditions in the Qinghai-Tibet plateau.

Anisodus tanguticus (Maxim.) Pascher, a distinctive medicinal plant native to the Qinghai-Tibet Plateau, China, has garnered attention due to increasing market demand. This study explores the impact of environmental factors on the distribution and levels of active compounds namely anisodamine, anisodine, and atropine within A. tanguticus. Our goal was to identify suitable cultivation areas for this plant. This study employs the maximum entropy model to simulate the suitable area of A. tanguticus under current conditions and three climate change scenarios during the 2050s and 2070s. The finding revealed that altitude, precipitation in the warmest season (Bio 18), the average annual temperature (Bio 1) exerted significant influences on the distribution of A. tanguticus. Among the environmental factors considered, temperature difference between day and night (Bio 2) had the most substantial impact on the distribution of anisodamine, temperature seasonal variation variance (Bio 4) predominantly influenced anisodine distribution, and Bio 1 had the greatest effected on the distribution of atropine. The suitable areas primarily exist in the eastern Qinghai-Tibet Plateau in China, encompassing a total area of 30.78 × 104 km2. Under the climate scenarios for the future, the suitable areas exhibit increasing trends of approximately 30.2%, 30.3%, and 39.8% by the 2050s, and 25.1%, 48.8%, and 60.1% by the 2070s. This research would provide theoretical suggestions for the protection, and cultivation management of A. tanguticus resources to face the challenge of global climate change.

A Multicriteria Decision Analysis Model for Optimal Land Uses: Guiding Farmers under the New European Union’s Common Agricultural Policy (2023–2027)

Focusing on sustainability, the new Common Agricultural Policy (2023–2027) sets ambitious goals for water management, as reducing irrigation water use is a vital issue. Cooperation among farmers, relevant authorities, and researchers plays a significant role in achieving these objectives. Therefore, this study applies a multicriteria mathematical programming model to optimize land use, considering water use, profit, labor, and cost. The model was applied to three farmer groups located in Greece and proved to be valuable in the implementation of irrigation water use. Using the same methodology, two additional cases of farmer groups that utilize drylands are presented in complementary ways to investigate how the new CAP affects non-irrigated land uses. Regarding the irrigated case, reducing water usage involves decreasing the land dedicated to crops characterized by high water demand, such as rice, corn, vetch, and clover. This adjustment stems from the necessity to replace irrigated land with non-irrigated land because climate change demands low water consumption for crops and underscores the importance of the new policy framework to promote sustainable agriculture. As for the non-irrigated case, achieving optimal farm planning entails reducing the cultivated areas of vetch, grassland, and sunflower. This result is driven by the need to increase crops receiving primary subsidies, highlighting the necessity for non-irrigated farms to enhance their profitability through the benefits provided by the Common Agricultural Policy. Lastly, it is important to note that this study significantly contributes to guiding decision-makers in achieving alternative agricultural land uses and farm plans while also aiding in the comprehension of the new cross-compliance rules.

Do rotations and intercrops matter? Opportunities for intensification and diversification of maize-based cropping systems in Zambia

ContextRealizing the double-edged goals of food security and crop diversification require knowledge of crop yield response to different agricultural practices and the extent to which such response is context dependent. This is particularly important in Southern Africa where cropping systems are dominated by maize and smallholders use few external inputs. ObjectiveThe objectives of this study were (1) to evaluate the performance of cropping systems with different levels of legume diversification and intensification on maize productivity across the main agroecological zones and farming systems of Zambia, and (2) to establish the minimum land required to reach maize self-sufficiency at household level with the different cropping systems tested. MethodsSix maize-based cropping systems, comprising maize monocropping, maize-legume rotations and intercrops under ‘conventional’ tillage and conservation agriculture, were evaluated across 40 farms in contrasting agro-ecological zones and farming systems of Zambia. A household survey was conducted in the same communities hosting the on-farm trials to quantify the share of households with enough maize cultivated area to benefit from the tested cropping systems. ResultsMaize yield measured in the on-farm trials ranged, on average, between 3.6 and 5.4 t ha−1, which was greater than mean maize yields reported by farmers not hosting on-farm trials during the same growing seasons and in the same sites. Our results showed a clear positive effect of legume rotation on maize yield in Eastern province only, where cropping systems including groundnut as rotation crop yielded between 1.0 and 2.0 t ha−1 more maize than other cropping systems. Pigeon pea intercrops and Gliricidia hedgerows, crop residue management, and tillage practice had no significant effect on maize yield in any of the provinces. Finally, nearly 35, 50, and 70% of surveyed farms in Northern, Eastern, and Southern province would have enough land to achieve the same level of maize production obtained on their farm with the yields, and associated area requirements, of the maize-legume rotations tested in the on-farm trials. ConclusionLegume rotations can increase maize productivity on land abundant farms in high potential maize production areas of Southern Africa, whereas legume intercrops have benefits at cropping systems level and should be targeted to land constrained farms. SignificanceThe study contributes to better understand the niche for diversified maize-based cropping systems with legume rotations and intercrops in Southern Africa, along with their impacts on maize productivity at the field level and their land requirements at the farm level.

Mites associated with açaí palm trees (Euterpe oleracea: Arecaceae) in native and cultivated areas of the state of Pará (Eastern Amazon, Brazil).

The objective was to quantify and analyze the diversity of mites associated with native and cultivated açaí palms crops, as well as their distribution in the dry and rainy seasons in the municipalities of Bragança and Augusto Corrêa, state of Pará. Rarefaction curves were generated for diversity values using the statistical programming language R, rarefaction curves for estimates of richness and equitability, and analysis of variance with permutations. A total of 2069 mites from 28 families were sampled, being most representative Phytoseiidae (32.4%), Phytoptidae (13%), Cunaxidae (7.7%), Tetranychidae (5.6%) and Tydeidae (4.9%). Among predators, the most abundant species were Amblyseius sp. 1, Armascirus amazoniensis Wurlitzer & Silva, Iphiseiodes zuluagai Denmark & Muma, Scutopalus tomentosus Rocha, Skvarla & Ferla, and the phytophagous mites Acaphyllisa sp., Davisella sp., Oligonychus sp. and Retracus johnstoni Keifer. In the rainy season, more mites were sampled (n = 1176) than in the dry season (n = 893). The greatest richness was observed in the dry period (73 species) and diversity was also greater in this period. In the municipality of Bragança there was greater richness (78 species) and the cultivated açaí trees had greater acarine abundance (74.7%) than the native ones. However, natives had slightly higher wealth (6%) than those cultivated. The diversity and richness of predatory mites show the potential of the Amazon biome to be used in applied biological control.

Firefly Algorithm for SVM Multi-class Optimization on Soybean Land Suitability Analysis

Soybean is the primary source of vegetable protein nutrition, containing fat and vitamins that Indonesian people widely consume. The decline in soybean production in Indonesia every year is due to the reduced area of soybean cultivation, thereby increasing dependence on imports from other countries. Land suitability maps can provide directions for priority locations for soybean cultivation based on land characteristics and weather to produce optimal production. The SVM multi-class algorithm has been applied to classify land suitability data to create a land suitability map but has yet to obtain optimal accuracy, especially for sigmoid kernels. The objective of this study is to enhance the performance of the sigmoid kernel SVM by utilizing the firefly algorithm. The study focuses on evaluating the suitability of soybean cultivation in Bogor and Grobogan Regencies. The results of the tests indicate that the firefly algorithm-optimized SVM (FA-SVM) significantly improves accuracy compared to the SVM without optimization. The accuracy achieved by FA-SVM is 89.95%, while the SVM without optimization only achieves an accuracy of 65.99%. The best parameters produced by the firefly algorithm are C=2.33 and σ=0.45 obtained from firefly customization, and the number of generations is 10. Based on this, the optimization algorithm can be used to produce an optimal model. The best optimal model obtained can be used as a guide for priority locations/areas for soybean cultivation by farming communities, so as to produce maximum soybean productivity.

Potential planting regions of Pterocarpus santalinus (Fabaceae) under current and future climate in China based on MaxEnt modeling.

This study modeled the habitat distribution of Pterocarpus santalinus, a valuable rosewood species, across China under current and future climate scenarios (SSPs126, SSPs245, and SSPs585) using MaxEnt. Our findings reveal that the current suitable habitat, spanning approximately 409,600 km2, is primarily located in the central and southern parts of Guangdong, Guangxi, Fujian, and Yunnan, as well as in the Hainan provinces, along with the coastal regions of Taiwan, and the Sichuan-Chongqing border. The habitat's distribution is significantly influenced by climatic factors such as temperature seasonality (bio4), mean temperature of the wettest quarter (bio8), annual mean temperature (bio1), and annual precipitation (bio12), while terrain and soil factors play a lesser role. Under future climate scenarios, the suitable habitat for P. santalinus is projected to expand, with a northeastward shift in its distribution center. This research not only sheds light on the geoecological characteristics and geographical distribution of P. santalinus in China but also offers a scientific basis for planning its cultivation areas and enhancing cultivation efficiency under changing climate conditions.

Development of Arctic Tourism and Creative Industries as Drivers for the Transformation of Arctic Cities and Territories

Horizontal integration of regions is a process of cooperation and unification of efforts between different regions to achieve common goals and solve common problems. This process can manifest itself in various areas, including economics, science, culture, education and other areas. The goal of horizontal integration of regions based on research projects is to strengthen ties, increase the level of interaction and cooperation between different regions, which contributes to economic growth, the development of scientific and cultural exchanges, and an increase in the overall level of welfare and development. The article presents the experience of interaction between scientific teams of two universities - the Murmansk Arctic University and the Higher School of Economics National Research University - to study the influence of Arctic tourism and creative industries on the socio-economic development of the Arctic region. The results of the project have practical significance for the Murmansk region and can be scaled up to other regions of the Arctic territories of the Russian Federation, taking into account certain regional nuances.

Comparative study on paddy harvesting technologies in Sylhet region

Mechanized paddy harvesting is currently limited in Bangladesh, but the pace of mechanization is increasing. Harvesting must be done on time to minimize losses and timely harvesting depends on the availability of harvesting machinery. The aim of this study was to find out the state of mechanized paddy harvesting technologies in Sylhet region over the last five years. The study was conducted in all upazilas under the Sylhet region to compare mechanized and manual paddy harvesting technologies. Structured questionnaire was used to collect data. The survey revealed the changes in mechanization status in 2022 compared to the previous four years. In the study area, the average paddy cultivable area was 0.91 million hectares. The pace of mechanized harvesting in Sylhet, Sunamganj, Habiganj, and Moulvibazar district were 31.49%, 24.41%, 19.59%, and 15.95%, respectively. On the basis of the provided data, from 2018 to 2022 the number of harvesting machines increased from 547 to 1852. The manual method, combine harvester, and reaper were used to harvest 76.20%, 21.90%, and 1.90% of the total projected area respectively in 2021-2022. The study revealed that combine harvester covered around 87.47% area than reaper. In 2022, among the 40 upazilas, the most machines were found at Nabiganj upazila in Habiganj district =106, and the fewest machines were found at Barlekha upazila in Moulvibazar district =10. The trend of manual paddy harvesting has declined in Sylhet region due to the increase in the number of harvesting machines. So, harvesting machineries are needed in this region to update paddy harvesting mechanization status.

Exploring the role of new and enhanced BPM capabilities in customer experience management: does BPM matter?

PurposeAlthough improving customer experience (CX) has always been one of the top priorities of business process management (BPM), the evidence on the actual contribution made by traditional BPM to improving CX and customer experience management (CXM) is mixed. Recently, new and enhanced capability areas have been added to the traditional BPM frameworks, yet it is unclear which of them contribute to CXM. Moreover, it is not known which of them are necessary and which are sufficient conditions. The aim of this research is to shed light on the research gap concerning which BPM capabilities, especially new and enhanced ones, are relevant to CXM.Design/methodology/approachQuantitative data from 268 medium and large companies in 3 EU countries were analysed using hierarchical linear regression analysis and necessary condition analysis.FindingsThe results show that traditional BPM capabilities are a necessary condition for CXM, but with minor significance. Most highly significant necessary conditions and also most highly or medium significant sufficient conditions belong to the People or Culture area. Agile Process Improvement is the only new or enhanced BPM capability area in the Methods/IT area that is a necessary and also a sufficient condition for CXM maturity. Advanced Process Digitalisation was identified as neither a significant necessary nor a sufficient condition for CXM.Originality/valueThis research contributes to better understanding of the role played by BPM for CXM, where previous research provides mixed results.

The need for innovations to secure the future of artisanal mussel farming in the coastal sea of the Gulf of Trieste (Slovenia)

Mariculture along the Slovene coastline is mainly mussel culture operated as a family business; in one case, it is combined with sea bass farming. It started in the early 70 s with cultivation of Mediterranean mussels, while today, the two largest producers incorporate the cultivation of Venus clams and oysters as species with higher economic value on the market. Currently, all mussels and clams produced in Slovenia are sold in the Slovenian, Italian, Croatian and French markets. The production of Mediterranean mussels (Mytilus galloprovincialis) has increased steadily, with the main obstacles being a limited area for cultivation, occasional harmful algal blooms, predation by gilthead seabream and flatworms. In addition, more recent summer heatwaves negatively affected mussel production when seawater reached high temperatures at the thermal limits unsuitable for mussel growth. This study aimed to collect first-hand information about the current mussel production technology, processes and needs to identify opportunities for innovations that could benefit the entire sector (increased knowledge, production yield, reduced workload and effort with administrative issues). The study was based on a semi-structured questionnaire with the owners of mussel farms. Analysis of the questionnaire was supplemented with current knowledge from the field and provided comprehensive insight into a small sector of mussel farming along the Slovenian coast and its possible development in the future.

Risk perception and use of personal protective equipment (PPE) in pesticide use: does risk shape farmers’ safety behavior?

ABSTRACT Risk perception and use of personal protective equipment (PPE) in pesticide use were studied in 109 farmers of northern Greece. Farmers differed in the levels of pesticide risk perception, with 26.6% showing very low and low levels, 34.9% showing moderate levels, and 38.5% showing high and very high levels. Pesticide risk perception was positively correlated with education and large cultivated area, but negatively with age and non-farming as a main profession. Most farmers (82.6%) showed adequate use of PPE (mostly face mask and gloves). The use of PPE was positively correlated with education and risk perception, but negatively with age and non-farming as a main profession. Farmers with high levels of risk perception used 1.3 and 2.6 times more PPE items than those with moderate and low levels of risk perception, respectively. High education was a positive predictor, whereas main profession other than farming was a negative predictor of PPE use.

First Report of Leaf Spot on Eriobotrya japonica Caused by Alternaria alternata in Southwest Korea.

Loquat (Eriobotrya japonica) is a crop cultivated in Southwest Korea, covering an area of 101 ha and yielding 120 tons at harvest (KASS, 2024). Due to its high-income potential, the cultivation area is gradually expanding. In May 2023, 30% of leaf brown spots were observed on all three trees in the Suncheonman National Garden, Suncheon (3488'57.97" N, 12750'92.83" E). As the disease progressed, the brown spot gradually enlarged, turning greyish-ivory inside and forming concentric circles. Three leaf lesions from each tree were cut into 5 x 5 mm pieces, surface-sterilized with 70% ethanol for 1 min, and washed in sterile water three times to isolate the pathogen potentially responsible for these symptoms. The samples obtained were subsequently cultured on 1.5% water agar and then incubated in the dark at 25℃. A total of nine isolates were obtained, with three isolates from each of the three trees through single-spore isolation, namely SYP-1202-1 to 3, SYP-1202-4 to 6, and SYP-1202-7 to 9. The colonies reached 90 mm in diameter after 10 days on potato dextrose agar (PDA), initially dark green, and turned sooty gray after 2 weeks. The hyphae grown on a 0.6% KCl medium for 3 days produced long chains containing three to twelve conidia. The conidia were ellipsoidal or obpyriform in shape and light brown. The conidiophores were straight or curved, measuring 12.1-75.3 x 1.6-4.8 μm (n = 100). The primary and secondary conidia measured length × width of 19.1-60.6 × 6.1-14.4 μm and 8.4-27.8 × 3.5-9.5 μm (n = 100), respectively. The conidia had 1 to 7 transverse and 0 to 3 vertical septa. The morphology of the nine isolates was identical and consistent with Alternaria species (van der Waals et al., 2011; Woudenberg et al., 2015). For molecular identification, ITS (OR844500 to OR844508), GAPDH (OR866383 to OR866391), TEF1 (OR866392 to OR866400), RPB2 (OR866401 to OR866409), Alt a1 (OR866410 to OR866418), endoPG (OR866419 to OR866427), and OPA10-2 (OR866428 to OR866436) sequences from SYP-1202-1 to 9 showed a 100% (515 bp/515 bp), 100% (579/579), 100% (240/240), 100% (753/753), 95.1% (449/472), 100% (448/448), and 100% (634/634) identity with that of type strain A. alternata CBS 115152 (KP124348, KP124202, KP125124, KP124816, KP123896, KP124049, and KP124658, respectively). A pathogenicity test was conducted on three 5-year-old E. japonica cultivar Daebang trees in pots. The surface of the five leaves per tree was sterilized with 70% ethanol for 1 min. Before inoculation, the leaves were wounded with sterile needles and sprayed with the conidial suspension (1×106 conidia/ml) produced from a 1-week-old culture grown on PDA. In contrast, control leaves were sprayed with sterile distilled water. The inoculated leaves were wrapped with black plastic bags and kept at 100% relative humidity for two days. At seven days post-inoculation, symptoms were observed on the wounded leaves, whereas the nonwounded and control leaves did not exhibit any symptoms. The experiment was performed three times in the greenhouse. For each experiment, pathogens were reisolated from the two symptomatic leaves per plant. The identity of the reisolated pathogens was then confirmed via analysis of ITS and RPB2 genes, thereby confirming adherence to Koch's postulates. To the best of our knowledge, this is the first report of E. japonica being infected by A. alternata in Korea. This report provides important information to support effective disease control strategies for E. japonica in orchards in southern Korea.

First report of leaf spot disease caused by Neopestalotiopsis rosae on Lonicera caerulea L. in Heilongjiang Province, China.

Recently, interest in cultivating blue honeysuckle (Lonicera caerulea L.) for horticulture and medicinal uses has grown (Sharma and Lee 2021). Between September 2022 and September 2023, a leaf spot disease (Fig. S1) was observed on approximately 20% of 'Lanjingling' blue honeysuckles grown in a 0.18 ha field in Qiqihar city (123.43°E, 47.92°N), Heilongjiang Province, China. Infected plants displayed black leaf spots that expanded to cover the entire leaf. Small, 3 to 4 mm segments of infected tissue were surface sterilized with 75% ethanol for 30 s and 5% sodium hypochlorite (NaOCl) for 3 min, rinsed three times with sterile distilled water, dried on paper towels, and plated in 9 cm Petri dishes containing potato dextrose agar (PDA) (Ma et al. 2023). To induce sporulation, nine purified cultures (Fig. S2) with similar culture characteristics were finally obtained from ten infected plants and they displayed a conidia morphology consistent with Neopestalotiopsis spp., no other fungi were isolated, and the isolation frequency was 90%. Conidiomata (Fig. S3) were brown to black and distributed in concentric rings with an average size of 261.98 (60.30-451.80) μm (n = 50). The conidia (Fig. S3) were fusoid and had four septa, straight to slightly curved, with an average size of 23.48 (13.50-30.30) × 5.42 (4.50-9.30) μm(n = 50), while basal and apical cells were hyaline and the three middle cells were brown with darker septa. PCR amplification was performed with ITS1/ITS4 (White et al. 1990), EFl-728F/EF1-986R (Carbone and Kohn 1999), and Btub2Fd/Btub4Rd (Glass and Donaldson 1995) primers from the genomic DNA of the LD-330. Sequences of ITS (PP033584), TEF (PP048757), and TUB (PP048758) revealed 99 to 100% (499/500, 255/255, and 481/486) shared identity with Neopestalotiopsis rosae sequences (NR145243, KM199524, and KM199430) (Rebollar-Alviter et al. 2020). Therefore, based on morphological characteristics and molecular phylogeny, LD-330 was identified as N. rosae. Six two-year-old healthy plants of the 'Lanjingling' cultivar were selected for a pathogenicity test (Yan et al. 2023). The leaves were surface disinfected with 75% alcohol and then wiped with sterilized water three times. Three plants were inoculated with 10 ml of LD-330 conidial suspension (1 × 106 spores/ml) or with sterile water as an experimental control, respectively. All plants were in closed plastic bag, incubated in a greenhouse at 28 ℃ and 75% relative humidity (RH) under a 12-h light/dark cycle, and each experiment was performed three times (Rebollar-Alviter et al. 2020). Typical leaf spot symptoms were observed on inoculated leaves after 14 days (Fig. S4), whereas no symptoms were detected on water-treated leaves. The same pathogen was reisolated from infected leaves, displayed the same morphological and molecular traits, and was again identified as N. rosae, confirming Koch's postulate. Neopestalotiopsis rosae was previously reported on pecan (Gao et al. 2022), causing black leaf spot disease in China. To our knowledge, this is the first report of a blue honeysuckle leaf spot caused by N. rosae in China and specifically in the Heilongjiang province which has the largest blue honeysuckle cultivation area in the country. Future research should be directed toward developing comprehensive management measures.

Delineating the Area for Sustainable Cultivation of Morinda officinalis Based on the MaxEnt Model

Delineating the Area for Sustainable Cultivation of Morinda officinalis Based on the MaxEnt Model

Today's Shifting Cultivation and its Impact on Forest and Environmental Damage in Routa, Konawe, Southeast Sulawesi

This article is intended to explore and analyze some of the impacts of shifting cultivation to the forest environmental degradation in Routa today. This study uses a combination of qualitative and quantitative research approaches, especially with the rational equation methods where the results of statistical calculations are then culturally interpreted. The results of this study indicate that current shifting cultivation has contributed greatly to the increasing damage to the forest environment and decreased hydro-urologic functions of forests in Routa as well as other ecological functions, including conversion of primary and secondary forest land to shifting cultivation areas, restoration of areas ex-shifting cultivation that are ongoing slower than usual, increased surface water flow, increased erosion, and sedimentation, increased local air temperature and decreased humidity and the potential for large carbon losses.

Spiritual places: Spatial recognition of Tibetan Buddhist spiritual perception.

Tibetan Buddhism, as an indigenous religion, has a significant and far-reaching influence in the Tibetan areas of China. This study, focusing on Lhasa, explores the integration of Tibetan Buddhist spiritual perceptions within urban spaces. Employing a novel approach that combines street view data and deep learning technology, the research aims to identify and map the spatial distribution of Tibetan Buddhist spiritual sites against the backdrop of the urban landscape. Our analysis reveals a notable concentration of these spiritual places near urban architectural and cultural heritage areas, highlighting the profound connection between residents' cultural life and spiritual practices. Despite challenges posed by modern urbanisation, these spiritual sites demonstrate resilience and adaptability, continuing to serve as cultural and spiritual pillars of the Tibetan Buddhist community. This study contributes to the fields of urban planning, religious studies, and digital humanities by demonstrating the potential of technology in examining the impact of urban development on cultural and religious landscapes. The research underscores the importance of protecting and integrating spaces of spiritual perception in urban development planning. It shows that safeguarding these spaces is crucial not only for cultural heritage preservation but also for achieving sustainable urban development and social harmony. This study opens new avenues for interdisciplinary research, advocating for a deeper understanding of the dynamic relationship between urban development and spiritual spaces from psychological, sociological, and environmental science perspectives. As urban landscapes evolve, the study emphasises the need to maintain a balance between material sustainability and cultural and spiritual richness in urban planning.

Digital Technologies Adoption and Economic Benefits in Agriculture: A Mixed-Methods Approach

Governments globally aim to boost productivity and enhance farmers’ livelihoods, addressing challenges like climate change, food security, and labor shortages through digital technologies. However, adoption rates in developing countries remain low due to uncertainties regarding expected returns and obstacles stemming from subjective and objective factors among farmers. This study takes China as a case study to examine the internal and external factors influencing growers’ adoption intensity of digital technology and its impact on enhancing economic benefits, aiming to provide valuable insights for the promotion of digital technology in other countries and regions. This study employs a mixed-methods approach, integrating qualitative and quantitative methodologies, utilizing data from Shandong and Liaoning provinces. The findings underscore the significant role of growers’ knowledge, technology compatibility, government support, and competitive pressure in driving the adoption of digital technology among growers, with male growers and those managing larger cultivation areas demonstrating higher adoption intensity. Digital technologies can enhance growers’ economic benefits by reducing labor and input costs, increasing yields, and improving quality, with a 30.4% increase in economic benefits for each unit increase in adoption intensity of digital technologies. Technology promoters can use these findings to enhance growers’ awareness, highlight the practical benefits, and offer agricultural socialized services to promote digital technology adoption.

Optimization of the Co-Production between the Rice Husk and the Pulp of the Cashew Apple Produced in the Natural Region of Casamance

Anaerobic digestion or anaerobic digestion is a biological process of degradation of organic matter in an anaerobic environment. It involves the degradation and stabilization of complex organic matter by a consortium of micro-organisms leading to methane-rich biogas that can be used as an alternative energy to fossil fuels. In addition, the use of biogas allows for the preservation of the environment and the sustainable development of rural areas and landlocked regions, as well as the diversification of energy resources, but also contributes to the development of agriculture through the production of organic fertilizer. In 2018, Senegal was ranked as the 15th world exporter of cashew nuts with a production of around 18,000 tons per year according to a study by PADEC (Support Program for the Development of Casamance). Four regions mainly invest in it: Kolda, Ziguinchor, Sédhiou, and Fatick. However, in the natural region of Casamance ( Kolda, Ziguinchor, and Sédhiou), each year, after the cashew nut campaign, more than 342,000 tons of cashew apples, pressed or not, are rejected without any recovery, thus degrading in the environment. In addition, rice is traditionally grown in Casamance and in some Diola circles, it had become one of the criteria of wealth, which explains why it occupied most of the cultivated areas and each year thousands of tons of rice husk are burned for elimination/reduction without any recovery. These immense annual productions of waste, without any recovery, in a context dominated by a deficit in cooking and lighting energy constitutes a form of energy resilience and motivates us to study the co-digestion of the rice husk (with a report of C/N equal to 101.317) on cashew apple pulp (having a C/N ratio of 23.201 ). The study of the co-digestion of rice husk and apple pulp at the laboratory scale with the inoculum reveals, that the co-digestion with pH correction contains 39.40% methane and 51.50% carbon dioxide after 49 days of production and 64.04% methane (CH4) and 25.86% carbon dioxide (CO2) on the 96th day. For co-digestion without adjustment, production stopped on the 49th day with a production of 23.68% methane and 45.65% carbon dioxide.