Cultivated Area Research Articles

PROBLEMS OF DETERMINING THE BOUNDARIES OF THE SUBURBAN AREA OF THE LARGEST CITIES OF UKRAINE

The article examines a relatively recent concept used in regulatory documents, known as the largest cities in Ukraine. Unfortunately, statistical data on the population size has not been kept in Ukraine for a long time, which makes it challenging to conduct the research in the most detailed and in-depth manner. Despite this, the study used data from enterprises and industries, cartographic data, and field surveys. It allowed us to identify seven potentially largest cities: Kyiv, Kharkiv, Odesa, Dnipro, Donetsk, Lviv, and Zaporizhzhia. The authors studied the concept of suburban areas in detail and found differences between different classes of suburban areas. We used works from various scientific fields: geographical, economic, sociological, legal, and urban planning, which makes this article interdisciplinary. Also, we considered the regulatory legal documents of the State Building Code, the Laws of Ukraine, and historical materials. The cities of this study tend to grow and spread geographically throughout the area, signalling us to revise previously accepted interpretations and norms of suburban areas. It led us to conduct the study and adopt a new definition of the suburban area of the largest city. Therefore, the ‘suburban area of the largest city’ is the territory located outside the largest city along transport and motorways and providing close partnership with the city in economic, environmental, recreational, cultural, labour, scientific, and other areas. The article considers the modern problems of the suburbs, such as territorial conflicts on the appropriation of land, conflicts on the use of territories not for their intended purpose, and clashes between developers of the residential sector, enterprises, and the ecological framework. In the latter, the natural flora and fauna system suffers the most. External factors also influence the slowdown of suburban development: military conflicts, instability of foreign policy, economic decline, and others. To prevent such a scenario, we have defined the goals and objectives of the suburbs. In the current situation in Ukraine, this study can help to facilitate further research on the development of territories. Keywords: suburban area, largest cities, planning, boundary, accessibility.

Performance Evaluation of Stress Tolerant Rice Variety Swarna Shreya under Front Line Demonstration in Bolangir District, Odisha

Rice is the major crop of Odisha with a total coverage of 41 lakh ha which is about 65% of the total cultivable area of the state. Area under rice crop in Bolangir district is 218.97 thousand ha. Bolangir District is located under Western Central Table Land Agro climatic Zone characterized by hot and sub humid climate. About 168.91 thousand ha rice is under rainfed condition. Drought is a major abiotic stress that adversely affects the rice growth, mostly in the rainfed ecosystem that ultimately affects the biomass production and yield. Front line demonstrations have been conducted in NICRA adopted village- Odiapali, Block- Bolangir in the Kharif season of the year 2022 and 2023. The percentage increase in yield is 13.63 and 14.61 and net return is Rs 42,200/- and Rs 43,444/- per ha as compared to farmer’s practice variety Swarna’ performance respectively for the year 2022 and 2023.

Growth Performances and Productivities of Kappaphycus alvarezii and Eucheuma spinosum Cultivated with Long-line Method in PT. Sea Six Energy Indonesia

Indonesia is the second largest producer of seaweed in the world. Different cultivated seaweed commodities may have different production results. This study aimed to determine the effect of cultivation time and different types of seaweed on total weight and Specific Growth Rate (SGR) of Kappaphycus alvarezii and Eucheuma spinosum cultivated with the long-line method. The study was conducted in one cultivation area, PT. Sea Six Energy, Bali, Indonesia. Data collection was carried out through observations in 2 sites. Every site contained 3 square frame seaweed Kappaphycus alvarezii and Eucheuma spinosum. The sample used in this study was one thallus of seaweed taken randomly from 3 different ris ropes in each square frame. The average weight of thallus, total weight, and specific growth rate were performed in this study. After 51 days, the total weight of K. alvarezii was 1348.5 kg. The total weight of E. spinosum was 1398.7 kg. Both, K. alvarezii (8.4 ± 0.34 %.day-1) and E. spinosum (8.3 ± 0.02 %.day-1) showed higher Spesific Growth Rate (SGR) in the first 2 weeks of planting but not in the last 3 weeks of cultivation. There was no difference in productivity between K. alvarezii and E. spinosum cultivated using the long-line method. However, this research showed that the SGR value decreased as cultivation time increased.

The early medieval origins of copper ore extraction in the Carpathian Mountains

The case study addresses the question of the early medieval revival of copper production in Europe. The focus of the research area is the Carpathian Basin, located on the eastern periphery of the zone influenced by European early medieval processes. The research of where and when early medieval metal production started in the region in our case also provides answers to the question of how the region was linked to the European continental economic network, which is until recently an unresolved problem. Ore extraction and the production of various non-ferrous metals (copper, silver, gold) had important centres in the Carpathian Mountains throughout the Middle Ages until the Modern Era. Concerning the Avar period, our study comprises lead isotope and chemical analyses of ‘Late Avar’ (c. 8th century AD) copper rivets, used for certain purposes alongside the copper alloys predominant in the period. As rivets were selected from the entire Avar cultural area, expanding virtually to all lowland and hilly areas in the Carpathian Basin, results are representative of the entire region. It shows that Avar craftsmen producing large quantities of copper alloy objects in the 8th and the early 9th century were supplied with copper from a single mining district, from the ore deposits of the Slovak Ore Mountains in the today Central Slovakia, a region which became an important metal-processing centre in the 11th century AD.

Insights into the Metabolite Profiles of Two Camellia (Theaceae) Species in Yunnan Province through Metabolomic and Transcriptomic Analysis.

Tea (Camellia sinensis) falls into the family Theaceae, is a valuable commercial crop, and tea products made from its buds and young leaves are favored by consumers all over the world. The more common Thea plant is Camellia sinensis (C. sinensis), but its most important relative, Camellia taliensis (C. taliensis), is also utilized by locals in the area of cultivation to manufacture tea. In this investigation, C. taliensis (DL) and C. sinensis (QJZ) were characterized in terms of their agronomic traits, physicochemical indices, metabolomics, and transcriptomics. The leaf area of DL is larger than that of QJZ; the color of DL's buds and leaves is yellowish-green, while that of QJZ's is green. DL's buds and leaves are more densely velvety than those of QJZ. The HPLC results indicated that the physicochemical contents varied considerably between the two samples, with DL having greater concentrations of EGCG and GABA than QJZ, while QJZ had remarkably higher concentrations of C, CA, and EGC than DL. A total of 2269 metabolites and 362,190,414 genes were positively identified, with the number of DAMs and DEGs being 1001 and 34,026, respectively. The flavonoids, phenolic acids, and alkaloid metabolites were dramatically different between the two tea group plants. Bioinformatics profiling revealed that the DAMs and DEGs of the two tea group plants interacted with each other and were involved in metabolic pathways, including "biosynthesis of secondary metabolites", "biosynthesis of amino acids", "biosynthesis of cofactors", "phenylpropanoid biosynthesis", and "flavonoid biosynthesis". Overall, these results provide statistical support for germplasm conservation and production for both C. taliensis and C. sinensis.

Temperature seasonality and soil phosphorus availability shape ginseng quality via regulating ginsenoside contents

The accumulation of secondary metabolites in Panax ginseng Meyer (P. ginseng) exhibits significant geographical variation, normally due to environmental factors. The current study aimed at elucidating the key environmental factors modulating the accumulation of secondary metabolites in P. ginseng. Plant and the associated soil samples were collected from ten geographical locations within the latitudinalrange of 27.09°N − 42.39°N and longitudinal range of 99.28°E − 128.19°E. 12 secondary metabolites in P. ginseng toots were measured. And the correlation between secondary metabolites with a series of soil properties and 7 climatic factors were investigated through Pearson’s correlation, mantel test, random forest and pathway analysis. The results revealed that climatic factors were stronger drivers of ginseng secondary metabolite profile than soil nutrients. Specifically, temperature seasonality (TS) and soil available phosphorus (AP) were the most effective environments to have significantly and positively influence on the secondary metabolites of ginseng. This findings contribute to identifying optimal cultivation areas for P. ginseng, and hopefully establishing methods for interfering/shaping microclimate for cultivating high-quality P. ginseng.

Identification of quantitative trait loci of pod dehiscence in a collection of soybean grown in the southeast of Kazakhstan.

Soybean [Glycine max (L.) Merr.] is one of the important crops that are constantly increasing their cultivation area in Kazakhstan. It is particularly significant in the southeastern regions of the country, which are currently predominant areas for cultivating this crop. One negative trait reducing yield in these dry areas is pod dehiscence (PD). Therefore, it is essential to understand the genetic control of PD to breed new cultivars with high yield potential. In this study, we evaluated 273 soybean accessions from different regions of the world for PD resistance in the conditions of southeastern regions of Kazakhstan in 2019 and 2021. The field data for PD suggested that 12 accessions were susceptible to PD in both studied years, and 32 accessions, in one of the two studied years. The genotyping of the collection using a DNA marker for the Pdh1 gene, a major gene for PD, revealed that 244 accessions had the homozygous R (resistant) allele, 14 had the homozygous S (susceptible) allele, and 15 accessions showed heterozygosity. To identify additional quantitative trait loci (QTLs), we applied an association mapping study using a 6K SNP Illumina iSelect array. The results suggested that in addition to major QTL on chromosome 16, linked to the physical location of Pdh1, two minor QTLs were identified on chromosomes 10 and 13. Both minor QTLs for PD were associated with calmodulin-binding protein, which presumably plays an important role in regulating PD in dry areas. Thus, the current study provided additional insight into PD regulation in soybean. The identified QTLs for PD can be efficiently employed in breeding for high-yield soybean cultivars.

GROWTH PERFORMANCE AND ECONOMICS OF POTATO CULTIVATION IN HIMACHAL PRADESH

This research paper studied the growth and economic performance of potato cultivation in Himachal Pradesh over a period of 21 years (2001-02 to 2021-22). The study was entirely based on secondary data, employing growth rate analysis, instability indices, decomposition analysis, and cost concept to fulfill the objective. The findings of the study revealed a significant increase in area, production, and productivity of potatoes, with the decomposition analysis highlighting the major role of expanded cultivation area in production growth. Instability indices reveal fluctuations in production, mainly attributed to variability in cultivation area. Input-use patterns show a decrease in input quantity but an increase in their value. The cost structure analysis emphasizes the capital-intensive nature of potato cultivation, with operational costs, particularly seed and human labor, contributing significantly. The study underscores the need for measures to stabilize potato production and mitigate the impact of rising input prices.

Strawberries in a warming world: examining the ecological niche of Fragaria×ananassa Duch – Across different climate scenarios

BACKGROUND: Strawberry (Fragaria×ananassa Duch.) is a species of great economic and nutritional importance. It is widely cultivated in different regions of the world. However, climatic factors have a significant influence on its production. OBJECTIVE: To evaluate the ecoclimatic suitability and growth index of F.×ananassa in the face of the impacts of climate change in Brazil and the world. METHODS: The potential global distribution of F.×ananassa it was based on predicted global climate changes using CLIMEX and the A1B and A2 emissions scenario for the years 2050 and 2100. CLIMEX weekly growth index (GIw) was applied, and productivity data in commercial strawberry cultivation in Brazilian areas were collected. RESULTS: The results indicate a progressive reduction in areas suitable for strawberry cultivation globally, mainly on the African continent, Australia, China, and the Americas for the years 2050 and 2100. In Brazil, only the South region and part of the Southeast will continue to be suitable for strawberry production. CONCLUSIONS: The CLIMEX model predicts a reduction in the suitable area for cultivating Fragaria×ananassa Duch between 2050 and 2100 due to climate change. The generated maps can help identify new cultivation areas and support genetic improvement programmes to develop cultivars more tolerant to heat.

Assessment of nutrient differences in detached soil particles between cropland and revegetated abandoned land

AbstractCropland (CRL) abandonment is a worldwide phenomenon of land use change with significant impacts on agro‐ecosystems. This research attempts to deepen the analysis of the positive and negative effects arising by focusing on the changes in soil properties and the amount and composition of soil particles detached after several periods of rainfall and the resulting exported sediment that occurs in abandoned areas with natural revegetation compared to CRL. The study was carried out in an agroforestry catchment with a temperate climate, on which CRL and abandoned land with natural vegetation were compared. The soil was sampled along two representative hillslopes integrating elements of the landscape and land use/land covers. Sediments were collected after seven periods in which flood events were recorded during the period July 2016 to December 2017, using artificial‐lawn mats. Soil and sediment composition (texture, soil organic carbon [SOC] and nutrients [total nitrogen and total phosphorous]) under both land uses were assessed and compared and related to rainfall characteristics using principal component analysis. Nutrient enrichment factors in the sediments compared to soils were also evaluated. The results highlight that after abandonment, SOC increased significantly, reaching contents almost three times higher than in CRL. Consequently, soil erodibility decreased, resulting in substantially lower sediment generation after erosive rainfall events. On average, sediment generation was three times lower in abandoned areas than in CRL, despite their steeper slopes. Soil total nitrogen also increased on abandoned lands, reaching values about twice as high as those in CRL. However, total phosphorous content was almost twice as high in CRL than in abandoned land posing a potential risk for water due to higher erosion rates recorded in CRL. The results confirmed the association of phosphorous with smaller particles and also demonstrated the total phosphorous‐SOC link in abandoned land. Furthermore, the effect of rainfall intensity on phosphorous mobilisation was confirmed, whilst nitrogen losses were mainly related to the total amount of rainfall recorded. In a scenario of increasing extreme precipitation, both total amount and increased precipitation intensity may exacerbate water pollution problems following nutrient loss in cultivated areas. This research contributes to identifying the impacts on agroforestry systems within the current context of converting natural areas into cultivated land, whilst in other regions revegetated natural areas are developed from abandoned agricultural land.

Sources Analysis and Health Risk Assessment of Heavy Metals in Street Dust from Urban Core of Zhengzhou, China

Fifty-one street dust samples were systematically collected from the urban core of Zhengzhou, China, and analyzed for potentially toxic metals. The concentrations of vanadium (V), manganese (Mn), copper (Cu), zinc (Zn), arsenic (As), lead (Pb), and nickel (Ni) in the samples surpassed the background values of the local soil, indicating a notable potential for contamination. Spatially, the traffic area was the most polluted with a total heavy metal concentration of Cu, Zn, As, Pb, and Ni, while the pollution levels were lower in the culture and education area and commercial area with total concentrations of V and Mn. Seasonal variations were discerned in the concentrations of heavy metals, with V, Cu, Zn, and As exhibiting heightened levels during the fall and winter, while Mn, Ni, and Pb reached peaks in the spring season. Zn exhibited the highest mean geo-accumulation index (Igeo) value at 2.247, followed by Cu at 2.019, Pb at 0.961, As at 0.590, Ni at 0.126, Mn at −0.178, and V at −0.359. The potential ecological risk index (RI) in the traffic-intensive area markedly exceeded other functional areas. Health risk assessments showed that children were more vulnerable to heavy metal exposure than adults, particularly through the ingestion pathway. Correlation analysis, principal component analysis (PCA), and cluster analysis (CA) were applied in conjunction with the spatial–temporal concentration patterns across various functional areas to ascertain the plausible sources of heavy metal pollutants. The results indicated that heavy metals in the urban street dust of Zhengzhou were multifaceted, stemming from natural processes and diverse anthropogenic activities such as coal burning, industrial emissions, traffic, and construction operations.

Mapping climate suitability index for rainfed cultivation of medicinal plants by developing an AI-based probabilistic framework

The Climate Suitability Index (CSI) can increase agricultural efficiency by identifying the high-potential areas for cultivation from the climate perspective. The present study develops a probabilistic framework to calculate CSI for rainfed cultivation of 12 medicinal plants from the climate perspective of precipitation and temperature. Unlike the ongoing frameworks based on expert judgments, this formulation decreases the inherent subjectivity by using two components: frequency analysis and Particle Swarm Optimization (PSO). In the first component, the precipitation and temperature layers were prepared by calculating the occurrence probability for each plant, and the obtained probabilities were spatially interpolated using geographical information system processes. In the second component, PSO quantifies CSI by classifying a study area into clusters using an unsupervised clustering technique. The formulation was implemented in the Lake Urmia basin, which was distressed by unsustainable water resources management. By identifying clusters with higher CSI values for each plant, the results provide deeper insights to optimize cultivation patterns in the basin. These insights can help managers and farmers increase yields, reduce costs, and improve profitability.

Study on the characteristics and scenario simulation of land use change in the Chaohu Lake Basin, China

Effectively evaluating the historical and future land use/cover change (LUCC) is significant for effective land use planning and management, ecological conservation, and restoration. Taking the Chaohu Lake Basin (CLB) as the study area, GIS technology and geographic detector were used to quantitatively analyze the change characteristics and driving factors of LUCC under the three periods in 2000, 2010, and 2020 of the CLB. This study aimed to comprehend the alterations that have transpired over the last two decades. In addition, the PLUS model was utilized to forecast LUCC trends under three scenarios: natural development, urban development, and ecological protection by 2030 in the CLB. The results suggest a significant decrease of the cultivated land area, while a considerable increase for the construction land area from 2000 to 2020 in the CLB. The expansion of the construction land area was mainly driven by the conversion of cultivated land area. Additionally, the slope was identified as the primary factor influencing LUCC, with q-values of 0.275, 0.266, and 0.258 in 2000, 2010, and 2020, respectively. The interaction between slope and soil type, distance to the trunk road and the secondary trunk road, and GDP was strong. The explanatory capacity of socioeconomic factors demonstrated a steady increase. The simulation results indicate that a decrease in cultivated land area and an increase in construction land area still occurred by 2030 in the CLB, particularly in the urban development scenario. Nonetheless, a notable deceleration of change was appeared in the ecological protection scenario. The alterations in forest and grassland areas were not significant. However, the water bodies area continued to enlarge, although the expansion was not substantial. The study results can provide policy references for the scientific management and long-term strategic planning of land resources in the CLB.

Stakeholder Insights: A Socio-Agronomic Study on Varietal Innovation Adoption, Preferences, and Sustainability in the Arracacha Crop (Arracacia xanthorrhiza B.)

Arracacha, a root crop indigenous to the Andean region of South America, holds significant agronomic and socio-economic importance in Colombia. The study aims to evaluate the impacts of adopting the ‘Agrosavia La 22’ variety on agricultural sustainability and productivity, encompassing economic, environmental, and social dimensions. Additionally, it analyzes the preferences of farmers and other stakeholders regarding the sustainability of the introduced technological innovations. Conducted over three years (2021–2023), the study offers comprehensive insights into adoption trends and stakeholder perceptions. Utilizing the Ambitec-Agro methodology, the research assesses the environmental, social, and economic impacts of ‘Agrosavia La 22’. Data collection involved field observations and interviews with farmers and key actors in the arracacha supply chain. Results indicate a substantial increase in the cultivated area from 1500 hectares in 2021 to 2650 hectares in 2023, with the proportion of total cultivated area rising from 47.6% to 84.1%. Economically, ‘Agrosavia La 22’ demonstrated significant input cost savings, reducing costs by USD 347 per hectare by 2023 and enhancing producer surplus from USD 30.95 to USD 651.16 per hectare. Yield comparisons show higher median yields for ‘Agrosavia La 22’ (20 t ha−1 in 2023) compared to traditional varieties (12.5 t ha−1). Socially, there was a marked improvement in farmers’ income perceptions, and environmentally, there was a reduction in greenhouse gas emissions (324.05 kg CO2-eq ha−1) due to optimized fertilizer and pesticide applications. Eco-efficiency (EE) analysis shows that ‘Agrosavia La 22’ consistently demonstrated positive EE values, indicating economic viability alongside lower GHG emissions. In 2021, its EE stood at 2.2 USD/kg CO2-eq, increasing to 27.75 USD/kg CO2-eq by 2023, reflecting substantial economic gains relative to environmental impact. Conversely, the traditional variety initially exhibited lower EE due to high GHG emissions. Challenges such as soil quality decline and market price volatility were noted. Overall, the findings underscore the economic, social, and environmental benefits of ‘Agrosavia La 22’. Furthermore, the methodology used in this study can be applied to the evaluation of other varietal innovations in developing countries with limited resources for assessing agricultural technology impacts.

Sustainable tourism in cultural heritage areas: dualism between economy and environmental preservation

Sustainable tourism in cultural heritage areas: dualism between economy and environmental preservation

Evaluating the Impact of Mini Dams on Agricultural Production and Socio-economic Conditions: A Case Study of Latamber’s Dam District Karak (Pakistan)

Water scarcity is an escalating global concern, and Pakistan is no exception, facing increasing water crises and growing demand. Effective water supply is crucial for the development of any area. Mini dams not only provide water for irrigation but also support domestic uses. This study evaluates the impact of mini dams on agricultural productivity in Latamber village, focusing on crop yield, land use and land cover (LULC) changes, and socio-economic conditions. A multifaceted methodology, including field surveys, departmental data collection, questionnaires, and remote sensing, was employed. Data collected through questionnaires and farmer interviews highlighted the economic and environmental benefits of mini dams. Statistical analysis and image processing revealed significant expansions in cultivation areas for crops like maize and rice, alongside increases in wheat yield and the adoption of new vegetable crops during the Rabi season. Additionally, socioeconomic benefits, such as enhanced agricultural incomes and employment opportunities, were observed due to improved water availability and irrigation technologies. The study emphasizes the importance of evaluating the impact of mini dams on agricultural production and socio-economic conditions to inform sustainable water resource management strategies, which are vital for the long-term development of similar regions.

Time-series satellite remote sensing reveals gradually increasing war damage in the Gaza Strip.

War-related urban destruction is a significant global concern, impacting national security, social stability, people's survival and economic development. The effects of urban geomorphology and complex geological contexts during conflicts, characterized by different levels of structural damage, are not yet fully understood globally. Here we report how integrating deep learning with data from the independently developed LuoJia3-01 satellite enables near real-time detection of explosions and assessment of different building damage levels in the Israel-Palestine conflict. We found that the damage continually increased from 17 October 2023 to 2 March 2024. We found 3747 missile craters with precision positions and sizes, and timing on vital infrastructure across five governorates in the Gaza Strip on 2 March 2024, providing accurate estimates of potential unexploded ordnance locations and assisting in demining and chemical decontamination. Our findings reveal a significant increase in damage to residential and educational structures, accounting for 58.4% of the total-15.4% destroyed, 18.7% severely damaged, 11.8% moderately damaged and 12.5% slightly damaged-which exacerbates the housing crisis and potential population displacement. Additionally, there is a 34.1% decline in the cultivated area of agricultural land, posing a risk to food security. The LuoJia3-01 satellite data are crucial for impartial conflict monitoring, and our innovative methodology offers a cost-effective, scalable approach to assess future conflicts in various global contexts. These first-time findings highlight the urgent need for an immediate ceasefire to prevent further damage and support the release of hostages and subsequent reconstruction efforts.

Geospatial analysis of Musa acuminata cultivation using multi-temporal remote sensing – Uthal Balochistan

Climate change has made researchers realize there is a need to focus on crops consumed staple, including fruits.Uthal is the districts headquarter of Lasbela and has long been known for its valuable banana production. Due to scarcity of rainfall, aquifers are not recharging significantly, causing slow decrease in the Musa acuminate (common name banana) crop. Banana is a significant source of earnings for local cultivators. The primary objective of the present study is the fluctuation assessment of banana cultivation of Uthal. The methodology has been designed in three steps. The first was ground-truthing with the help of GPS survey of banana cultivation areas, the second, classification of greenery and banana crops based on Landsat 8 images via EVI and NDVI remote sensing tools. The third and last step was combined both data along with government published data for the accuracy assessment of banana cultivation areas. As per extracted results from NDVI, the share of banana total cultivated land of the study area has declined concerning the overall cultivated land of the study area which reduced from 1115 to 879 ha between 2013 and 2022. Results identified that the EVI-NDVI-GPS model is more significant for monitoring agricultural activities. The present study is an advanced contribution to the scientific field of Banana cultivation in Uthal.

Biopriming of corn seeds based on Bacillus subtilis under different storage periods

Corn crop (Zea mays L.) is one of the pillars of Brazilian agriculture, with a wide cultivation area and high productivity; Brazil is the world's second largest exporter of this cereal. For this reason, the aim of the present study was to evaluate the viability of biopriming of corn seeds with a product based on Bacillus subtilis, at different concentrations, up to 120 days of storage. The research was carried out in the seed technology laboratory of the State University of Londrina (UEL), using the commercial corn seeds Balu 366. The experimental design was completely randomized, with four replications, in a 7 × 5 factorial scheme, with seven concentrations of the commercial product based on Bacillus subtilis (Serenade) for seed biopriming (0.0, 2.5, 5.0, 7.5, 10.0, 12.5, and 15.0 %) and five storage periods in a cold chamber (0, 30, 60, 90, and 120 days). The evaluation of the physiological quality of the seeds occurred through germination, cold and seedling length tests. The variables analyzed were first germination count, germination percentage, vigor from the cold test, shoot length, length of the longest root, shoot dry mass, and root dry mass. For the statistical analysis, adjustments of regression models with the best fit were made. The biopriming of seeds proved to be an advantageous practice to enhance the physiological quality of the seeds under storage; it should be carried out at a concentration of 2.5 %, due to its economic viability, considering its efficiency equivalent to the highest concentrations. The biopriming of seeds proved to be a viable practice for seed storage for up to 60 days.

Export potential of millets from India: Current status and short-term forecast

This study examined the status and trends of millet exports from India and forecasts future exports based on monthly export data and the ARIMA-TDNN model. Millets, also known as nutri cereals, have been gaining attention for their potential to achieve food and nutritional security sustainably. The Indian government launched several initiatives to promote the cultivation and consumption of millets following the 2018 declaration of the National Year of Millets. Subsequently, the UN General Assembly declared 2023 as the International Year of Millets. India is a significant producer of millets, accounting for 17 per cent of the global cultivation area and 18 per cent of the world’s millet production. The average yield of millets in India is 1.40 t/ha, exceeding the global average. However, India accounts for less than 2 per cent of the world's millet exports. Keywords: Bajra, export, forecasting, neural network, nutri cereals, ragi, sorghum. JEL Codes: C53, Q17, Q18.