Production Areas Research Articles

Management strategies of translocated pondweed Monochoria hastata and its ecological and economic impacts

Understanding the impacts of, and options for, controlling invasive species is crucial to their management. Wetlands are a widely invaded ecosystem, since dispersal of aquatic species is facilitated by seasonal flooding. This study evaluated the effects of the translocated pondweed Monochoria hastata on fish and rice production in two wetlands of Bangladesh over six years (2017-2022). Fish and rice production were compared between control (negligible M. hastata) and three treatments under different M. hastata management methods comprising manual-, herbicide- and mechanical-treatment. Density of M. hastata increased significantly in all treatment groups over time in both wet and dry seasons. However, M. hastata density was lower by 270% in the dry season than the wet season. For fishes, a negative relationship between M. hastata density and fish production was recorded for snakeheads and catfishes, the most saleable fishes, whereas a mixed pattern was recorded for barbs and minnows across treatments. A positive relationship occurred between the density of M. hastata and production of the most common fish, mud eel, and therefore, the overall fish production increased in all treatment groups. Compared to control plots, rice production was lower in M. hastata infested plot groups. Among the M. hastata infested plot groups, rice production in herbicide-and mechanical-treatment groups was similar but lower than the manual-treatment group. Although manual-treatment plots yielded greater rice production, the weed management cost was also higher. This study provides evidence that translocated M. hastata can be of an invasive nature and impact rice production, not only by reducing yield but also by increasing the production costs through additional management for M. hastata control. Its presence in wetlands in Bangladesh can increase overall fish production due to the overriding influence of increased mud eel yield which has little demand locally but can decrease the species of high demand (e.g. snakehead and catfish). None of the existing control measures are effective in controlling M. hastata. Further research is needed on better management approaches for both agricultural and fish production in areas invaded by M. hastata.

Botryosphaeriaceae Infections on Prunus Germplasm: Evaluation of Pathogenicity, Resistance Loci, and Detached Assays of Southeastern United States Isolates

Research of peach fungal gummosis (PFG), which is a vascular disease caused by fungi in the Botryosphaeriaceae family, is particularly important in the southeastern United States, southern China, South Africa, and Western Australia. This disease has been a significant concern for the peach industry in the southeastern United States since the 1970s. The changing climatic conditions in the prunus production areas of the world have worsened the severity of PFG disease. A study of the morphological and genetic profiles of Botryosphaeriaceae species from diseased peach trees found four species in Georgia, Florida, Alabama, and South Carolina. Botryosphaeria dothidea, Lasiodiplodia theobromae, Diplodia seriata, and Neofusicocoum parvum were isolated and identified using conidiospore characters and rDNA sequences of internal transcribed spacer regions and elongation factor α-1 genes. B. dothidea was the most common species from diseased peach trees. A significant implication of this research is the potential resistance in Prunus germplasm, which was genotyped for the resistance locus Botd8 and evaluated for relative susceptibility to one isolate each from B. dothidea, L. theobromae, and D. seriata. Pathogenicity evaluations of peach, almond, and interspecific hybrids used detached stem and leaf assays for susceptibility to PFG based on lesion lengths and gumming scores. L. theobromae inoculation resulted in the most extensive lesions on stems and leaves. Detached stem and leaf assays indicated that Prunus with the Botd8 locus significantly differed in lesion size when infected with B. dothidea and D. seriata. However, the resistant locus had no significant effect on the relative susceptibility of Prunus to L. theobromae. Field and detached stem and leaf assays identified almond cultivars Pioneer and Golden State and Peach × Almond hybrids with Botd8 (+) as tolerant to PFG. Correlations between detached assays and field gumming scores suggested that inoculations on detached stems or leaves under controlled conditions can be used to preliminarily screen for resistance to PFG. These detached assays for specific pathogen isolates provide an opportunity for a relatively fast, nondestructive evaluation of Prunus germplasm and are tools that can be used to identify the components of disease resistance.

Coupling and coordination of food security and agricultural carbon emission efficiency: Changing trends, influencing factors, and different government priority scenarios

Seeking a balance between food security and carbon mitigation is key to achieving sustainable agricultural development. This study evaluates the coupling coordination degree (CCD) between the food security index (FSI) and agricultural carbon emission efficiency (ACEE) in China from 2010 to 2021 using the coupled coordination model. By adjusting the model coefficients, different government priority scenarios are simulated to explore their impact on CCD. The Geodetector method is employed to identify the influencing factors of CCD, investigate their interactions, and assess the differences in these factors across various government priority settings. The average CCD between FSI and ACEE exhibits a notable upward trend, rising from 0.4583 in 2010 to 0.6595 in 2021. Furthermore, regional disparities are widening, particularly in the major production areas. Catch-up effects exist within regions. Policy simulations showed staged interactions between food security and agricultural carbon efficiency, shifting from food security to balanced production and ecology, then to prioritizing low-carbon production for food security. Adjusting policy priorities can effectively improve coupling coordination in the short term, with increasing impact as priority shifts. CCD is influenced by policy, technology, economy, and society, varying with policy priorities. In the baseline scenario, key factors for CCD include the urban-rural income gap, technological advancement, urbanization, and farmers' education level. When the government prioritizes food security, the impact of narrowing income gaps and agricultural industry agglomeration becomes more pronounced. Conversely, emphasizing carbon emission efficiency enhances the influence of technological advancements and urbanization on CCD. Tailoring agricultural production strategies to local conditions and emphasizing interactive effects among factors is crucial for achieving environmentally friendly and high-quality agricultural development goals.

Site Suitability Analysis for Farmlands in Agro-Climatic Zone of Andhra Pradesh using Geo-Spatial Techniques

Abstract: The Anantapur region has moderately healthy vegetation, which produces impressive biodiversity, climate variations, and a variety of wildlife and flora. As a result, the southern areashave a lot of room for agricultural growth to support rural economies. The Northern part's potential for agriculture in this region has been limited by several physical obstacles, including ahigh slope and elevation, built-up area, a lack of irrigation infrastructure, dry soil, poor rainfall, and socio-economic problems. Planning the expansion of agricultural output can benefit from researching a location's suitability for a particular purpose. Using a GIS-based multi-criteria decision-making technique based on DEM and Landsat 8 satellite data, AHP will be utilised to evaluate site suitability for agricultural production in unused areas. A pairwise comparison matrix will be used to set the weights. It will help to determine whether hilly terrain is suitable for farming using the study's techniques, approaches, and findings.

Laissez-Faire or Sensitive Policymaking: The Legacy of Creative Clusters on Brownfield Sites in Berlin

With his saying “Berlin—poor, but sexy!,” former Governing Mayor Klaus Wowereit framed the motto for a decade of transition in which the German capital became a Mecca for artists, media industries, and creative people from all over the world. Building on a longstanding tradition of tolerating diversity and as a centre of high culture and bohemians, the city developed a new cultural-political identity from a deep transformation crisis after German unification and the extensive loss of its industrial base. In conjunction with a blossoming of temporary uses in a wide variety of vacant properties, often abandoned production, infrastructure, or storage areas, an intense creative scene unfolded. Since the 2010s, this scene has been massively threatened by displacement due to the changed real estate market situation. Over the years, the city has tried to counteract this situation through cultural policy initiatives and niche projects for bottom-up initiatives, with limited success. Against the backdrop of accelerated development of former brownfield sites and funding cuts in urban cultural policy, the question currently arises as to what place subculture can occupy in urban policy in the future. Based on official documents, books, scholarly articles, project websites, newspaper articles, and own observations, this article attempts to evaluate the respective policies in the city over time, to place them in the context of approaches to a more land-security-oriented policy, and to make clear what role the re-used spaces and buildings from the industrial age play in this.

ECONOMIC ANALYSIS OF MILLET PRODUCTION IN JERE LOCAL GOVERNMENT AREA, BORNO STATE, NIGERIA.

This research was carried out to determine the profitability of millet production in Jere local Government area of Borno state. Random sampling technique was adopted in this research through which data was collected from ninety (90) farms with the aid of a well-structured questionnaire. Data was analysed using descriptive statistics, gross margin analysis and production functions. Result indicated that 58.9% of respondents were in their economically active age group, majority (76.7%) of the farmers were male, 66.7% were married, while 42.2% had farming experience of between 21 – 30 years in millet production and it was revealed that farms were on a small-scale basis. Result further showed that millet production was profitable with gross margin and net farm income of N29,743.18 and N12,868.00 per hectare respectively. Regression model estimated revealed that double-log was the lead equation with R2 of 68.5%. Also, land, labour and agrochemical had significant impact on the level of millet output at P<0.01 level of probability and F-ratio 35.212. Estimated efficiency ratios showed that land; labour and fertilizer were under-utilised, while agrochemical was over utilised. Return to scale gave a value of 1.27 which implies that millet production was in stage 1 of the production region. It can be concluded that millet production in the study area is profitably. The study recommends that farmers should employ more land; labour and fertilizer, while the use of agrochemical should be cut down in order to improved millet production output for profit maximization.

Graphdiyne‐Based Nickel–Cobalt Bimetallic Sulfide Cocatalyst for Efficient Photocatalytic Hydrogen Evolution

Initially, CoNiSx is synthesized on the graphdiyne (GDY) surface through a precipitation method, followed by the straightforward physical stirring approach to attach CoNiSx/GDY to the maple leaf CdS. This synthesis method significantly mitigates the accumulation of CoNiSx/GDY and concurrently augments the count of sites that are active for generating hydrogen. This three‐phase composite demonstrates exceptional performance in the area of photocatalytic hydrogen production, achieving a hydrogen evolution rate of 15.37 mmol·h−1 g−1. The employment of various characterization methodologies and density functional theory calculations have demonstrated the formation of a Z‐scheme heterojunction forms between GDY and CdS. This discovery indicates that the combination of GDY and CdS markedly improves the photogenerated carrier separation capability of the composite catalyst. The cocatalyst CoNiSx loaded on GDY effectively accelerates the electron transfer from the conduction band of GDY, thereby reducing the photogenerated carrier complexation of GDY. This phenomenon results in an increased quantity of photogenerated electron holes engaged in the redox reaction, ultimately achieving exceptional photocatalytic performance.

Exploring Climate Change Impacts on Temperature Extremes in the South Saskatchewan River Watershed, Alberta, Canada

In recent years, the frequency and intensity of extreme temperature events have escalated, posing unprecedented challenges to ecosystems, economies, and human health. As global temperatures rise, these events are emerging as critical threats; therefore, understanding their changes is essential for developing strategies to mitigate their growing risks under global warming. In this study, we used ETCCDI (Expert Team on Climate Change Detection, Monitoring, and Indices) temperature indices to analyze future changes in extreme temperature events in the South Saskatchewan River Watershed (SSRW) in Southern Alberta, Canada, a critical area for irrigation, agriculture, and food production. This analysis is based on an ensemble of 26 Global Circulation Models (GCMs) and three Shared Socio-economic Pathway (SSP) scenarios, in three periods (2015–2030, 2041–2060, 2071–2100), compared against the base period of 1951–1990. The results suggest substantial changes in most of the studied indices towards higher temperatures, with a significant rise in both the numbers of days with extreme temperatures and the magnitude of the temperature itself, as well as a notable drop in the number of cold days. As a result of warming, the growing season length is 16 days longer in 2015–2030 compared to the base period and is projected to increase substantially by the end of the century. A longer growing season might seem favourable for agriculture, but it can disrupt water availability and cause unpleasant environmental consequences. Overall, the scenarios considered in this research suggest that the SSRW could experience warming at a significant rate. This finding underscores the urgent need for adaptation and mitigation actions to enhance resilience and sustainability.

The exploitation of silver deposits in early medieval Europe: some documentary, economic and social problems

AbstractFocusing on Southern Europe, this article sheds light on the mining landscape of the early Middle Ages. Based on the current state of historical and archaeological knowledge, the article raises a number of questions that can be extended to other European regions. The documentary problem shows that the scarcity of sources is due to a less developed mining historiography of the early Middle Ages. The few references show that it was not a question of ignorance, nor of the terrain, nor of the potential, nor of the techniques, taking into account the work in Melle and in the Harz. The study of production from the angle of an economic problem forms the basis of a hypotheses for selective and centralized exploitation during the Carolingian period and of an unbridled mining boom from the early 11th century. Even with the current paucity of documentary evidence, it is reasonable to assume that early medieval societies did not choose to exploit all the resources available to them. Finally, there is the social question. Who was behind the work and trade in ingots? The model of elite dirigisme will be discussed and it will be suggested that the role of the elite be reduced in favour of other actors such as entrepreneurs. Finally, the article argues for the extension of archaeological research to production areas in order to date operations, establish reference systems for ores and read archaeological remains from a social perspective.

Urban–Rural Integration and Agricultural Technology Innovation: Evidence from China

Urban and rural relations are important for the sustainable development of a nation or region. Urban and rural integration (URI), as a conceptual framework and strategic tool for managing urban–rural relations, is supposed to play a role in linking urban and rural socio-economic systems to promote the two-way flow of resources, facilitate spatial restructuring and functional transformation, enhance resource allocation efficiency, and shorten the gap between urban and rural areas. This article takes agriculture technological innovation in China as an example, and discuss whether and how URI can promote agricultural technological innovation (ATI). Based on a dataset of 288 prefecture-level cities spanning the years from 1999 to 2018, this article analyzes the mechanism and effect of URI on the development of ATI by using the negative binomial regression model and other models based on measuring the level of URI in the municipal area. The main conclusions are as follows. (1) URI positively promotes the development of ATI and exhibits significant heterogeneity across various dimensions, regions, and agricultural production areas. (2) The mechanism analysis shows that governance systems and mature markets positively moderate the impact of URI on promoting ATI, which also exhibits heterogeneous characteristics across various regions. (3) The impact of URI on the development of ATI exhibits a double threshold effect, and its marginal impact on the development of ATI increases with the deepening of URI. Moreover, the threshold effect of URI demonstrates significant heterogeneity. In central and urban areas, after surpassing the threshold value, the influence of URI on agricultural technological innovation becomes greater. Therefore, it is crucial to continuously deepen the development of URI, smooth the channels of factor flow, enhance resource sharing, break down the urban and rural barriers, and create a new engine for ATI development.

Widely Targeted Metabolomics Analysis Revealed the Component Differences of Hemerocallis citrina Borani in Different Production Areas of Datong

Hemerocallis citrina Borani (H. citrina) has garnered significant attention due to its abundant nutritional quality. Datong, located in Shanxi Province, is recognized as one of the four major production regions for high-quality H. citrina. While Datong boasts multiple production areas, the nutritional composition of daylilies varies across regions due to environmental factors and planting patterns, which remain unclear. This study focuses on the total polyphenol and flavonoid contents (TPCs and TFCs) and protein content of H. citrina from three areas in Datong: Sanshilipu (DTSSLP), Dangliuzhuang (DTDLZ), and Jijiazhuang (DTJJZ). Additionally, a widely targeted metabolomics analysis was used to analyze the metabolite composition of H. citrina from these three areas. The results showed that H. citrina in DTSSLP had the highest contents of protein and amino acids, as well as TPCs and TFCs. A total of 798 differential metabolites were identified in H. citrina across the areas, with DTSSLP showing the highest levels of different classifications of metabolites, indicating its enhanced health benefits and physiological activities. Nine metabolic pathways were related with the different characteristics among DTSSLP, DTDLZ, and DTJJZ. This study provides theoretical support for distinguish H. citrina from different producing regions and elucidates the mechanisms underlying its metabolic pathways.

Progress in the resistance mechanism and breeding of Camellia oleifera with resistance to anthracnose

Camellia oleifera is an important woody oil crop in China, and its seed oil has a high economic value. Anthracnose, one of the main diseases in C. oleifera, occurs in a wide range in the production areas, limiting the growth and development of plants and causing serious losses of oil production. With the rapid development of the C. oleifera industry in recent years, great progress has been achieved in the research on anthracnose in C. oleifera. This paper summarized the resistance mechanisms, the mining of resistance genes, and the evaluation of resistant germplasm resources, aiming to provide a theoretical basis for the prevention and control of anthracnose and the breeding of C. oleifera germplasm with resistance to anthracnose.

Influence of Terrain on MODIS and GLASS Leaf Area Index (LAI) Products in Qinling Mountains Forests

Leaf Area Index (LAI), as a pivotal parameter in characterizing the structural properties of vegetation ecosystems, holds significant importance in assessing the carbon sink function. Given the availability of multiple long-term LAI products, validating these LAI products with consideration of topographic factors is a prerequisite for enhancing the quality of LAI products in mountainous areas. Therefore, this study aims to evaluate the performance of MODIS LAI and GLASS LAI products from 2001 to 2021 by comparing and validating them with ground-measured LAI data, focusing on the spatio-temporal and topographic aspects in the Qinling Mountains. The results show that the GLASS LAI product is a better choice for estimating LAI in the Qinling Mountains. The GLASS LAI product has better completeness and generally higher values compared to the MODIS LAI product. The time-series curve of the GLASS LAI product is more continuous and smoother than the MODIS LAI product. Both products, however, face challenges in quantifying LAI values of evergreen vegetation during winter. The MODIS and GLASS LAI products exhibit differences between sunny and shady slopes, with mean LAI values peaking on sunny slopes and reaching their lowest on shady slopes. When the slope ranges from 0 to 10°, the mean values of GLASS LAI product show a higher increasing trend compared to the MODIS LAI product. At elevations between 1450 and 2450 m, the mean LAI values of the GLASS LAI product are higher than the MODIS LAI product, primarily in the southern Qinling Mountains. Compared to ground-measured LAI data, the GLASS LAI product (R² = 0.33, RMSE = 1.62, MAE = 0.61) shows a stronger correlation and higher accuracy than the MODIS LAI product (R² = 0.24, RMSE = 1.61, MAE = 0.68).

A Multi-Isotopic Chemometric Approach for Tracing Hazelnut Origins

High-value products, such as hazelnuts, are particularly vulnerable to fraud due to their price dependence on geographical origin. Guaranteeing hazelnuts’ authenticity is essential for consumer trust and safety. Stable isotope analysis has become a reference method for origin authentication as it is reliable, robust, and easily transferable across laboratories. However, multiple isotopic markers coupled with chemometric techniques are often needed to authenticate food provenance accurately. In this study, we focused on assessing the potential of bulk δ18O, along with δ2H and δ13C of the main fatty acids, as hazelnut-origin authenticity markers. PLS-DA classification models were developed to differentiate samples (n = 207) according to their region of origin. This multi-isotopic approach provided promising external validation results, achieving a 94% global correct classification rate in discriminating hazelnuts from regions with distinct geographical and environmental conditions. This study lays the groundwork for further model development and evaluation across additional production areas and harvest years.

Effects of Recommended Fertilizer Application Strategies Based on Yield Goal and Nutrient Requirements on Drip-Irrigated Spring Wheat Yield and Nutrient Uptake

Excessive application of fertilizers in drip-irrigated wheat production can suppress yields, lower nutrient utilization efficiency, and lead to economic and environmental issues such as nitrogen residues in the soil. Based on a recommended fertilizer application (RF) strategy that takes into account target yield and nutrient requirements, this study explores the responses of wheat plant traits, changes in topsoil and subsoil nutrients, fertilizer utilization, and economic benefits under this strategy. From 2022 to 2023, a field experiment was conducted in a typical oasis spring wheat production area at the northern foot of the Tianshan Mountains in Xinjiang. The treatments included no fertilizer control (CK), the farmer’s conventional practice (FP), recommended fertilizer (RF), RF with nitrogen omission (RF-N), phosphorus omission (RF-P), and potassium omission (RF-K). The results showed that compared with FP, the RF reduced 91 kg N ha−1 (30.3%) and 33 kg P2O5 ha−1 (24.8%) in 2022, and 69 kg N ha−1 (23.0%) and 2 kg P2O5 ha−1 (1.5%) in 2023. The effect in 2023 was better; RF also decreased the NO3−1-N residue in the 0–100 cm soil layer by 40.1 kg N ha−1 compared with FP, with no significant difference in wheat grain yield (RF: 5382.9 kg ha−1) or economic benefit (RF: USD 1613.1 ha−1). Furthermore, there were no significant differences between RF and FP in pre-anthesis NP transport or post-anthesis NP accumulation; however, RF significantly increased pre-anthesis potassium transport volume (15.8%) and transport rate (12.5%). RF led to a 16.3% increase in nitrogen utilization efficiency (NUE), while there was no significant difference in phosphorus utilization efficiency (PUE) compared with FP. The fertilizer yield effect for RF was evaluated as N > P > K. Correlation analysis indicated that grain yield was significantly positively correlated with pre-anthesis NPK transport and post-anthesis NP accumulation. It was also positively correlated with organic matter, alkali-hydrolyzed nitrogen, and Olsen-P content in both the topsoil (0–20 cm) and subsoil (20–40 cm), but not with available potassium in the soil. Therefore, conducting soil tests and determining fertilizer recommendations based on the proposed RF method at harvest can reduce fertilizer usage and achieve a balance between the conflicting objectives of environmental protection, increased crop yields, nutrient utilization efficiency, and improved economic benefits in oasis agricultural areas facing excessive fertilizer application.

Industrial Agglomeration, Land Consolidation, and Agricultural Energy Inefficiency in China: An Analysis Using By-Production Technology and Simultaneous Equations Model

Improving agricultural energy inefficiency is essential for achieving sustainable agricultural development and promoting major agricultural countries to achieve carbon peak and carbon neutrality goals. This paper analyzes agricultural energy inefficiency in China, using panel data from 30 provinces between 2000 and 2021. The by-production technology model is employed to measure and decompose inefficiency, and the simultaneous equations model and moderating effect model are utilized to study the impact mechanism of industrial agglomeration, land consolidation, and agricultural energy inefficiency. The findings reveal several key points: First, the average inefficiency of agricultural energy in China increased from 0.370 to 0.514, with economic inefficiency rising at a faster rate than environmental inefficiency. Second, agricultural industrial agglomeration serves to inhibit both agricultural energy economic inefficiency and environmental inefficiency, which, in turn, hampers the development of industrial agglomeration. This relationship shows heterogeneity across the eastern, central, and western regions, as well as between major and non-major grain production areas. Third, land consolidation—both nationally and specifically in the central, major grain-producing, and non-major grain-producing areas—effectively mitigates the deterioration of agricultural energy inefficiency caused by industrial agglomeration. In the eastern region, land consolidation can enhance the inhibitory effect of industrial agglomeration on energy inefficiency. This paper highlights the interconnections between industrial agglomeration, land consolidation, and agricultural energy inefficiency, providing valuable policy references for the development of sustainable agriculture and the proactive and steady advancement of carbon peak and carbon neutrality goals.

Analysis of current and future bioclimatic suitability for C. arabica production in Ethiopia.

The coffee sector in Ethiopia is the livelihood of more than 20% of the population and accounts more than 25% of the country's foreign exchange earnings. Climate change is expected to affect the climatic suitability of coffee in Ethiopia, and this would have implications for global coffee output, the national economy, and farmers' livelihoods in Ethiopia. The objective of this paper is to assess the current and future impacts of climate change on bioclimatic suitability to C.arbica production in Ethiopia. Based on the current distribution of coffee production areas and climate change predictions from HadGEM2 and CCSM2 models and using the Maximum Entropy (MaxEnt) bioclimatic modeling approach, future changes in climatic suitability for C. arabica were predicted. Coffee production sites in Ethiopia were geo-referenced and used as input in the MAXENT model. The findings indicated that climate change will increase the suitable growing area for coffee by about 44.2% and 30.37% under HadGEM2 and CCSM2 models, respectively, by 2080 in Ethiopia. The study also revealed a westward and northwestward shift in the climatic suitability to C. arabica production in Ethiopia. This indicates that the suitability of some areas will continue with some adaptation practice, whilst others currently suitable will be unsuitable, yet others that are unsuitable will be suitable for arabica coffee production. These findings are intended to support stakeholders in the coffee sector in developing strategies for reducing the vulnerability of coffee production to climate change. Site-specific strategies should be developed to build a more climate resilient coffee livelihood in the changing climate.

Instability Analysis and Decomposition of Output of Oilseeds Crops in Rajasthan and India

Aim: The study deals with analysis of instability of area production and productivity of major oilseeds in Rajasthan and India. It also includes calculation of sources of growth of production over the period of study. Area effect, yield effect and interaction effect for crop production were calculated. Place and Duration: The time series data of thirty years, 1990-91 to 2019-20, was analyzed. The data were further divided into Three decades, period I(1990-91 to 1999-2000), period II (2000-01 to 2009-10) and period III (2010-11 to 2019-20). Area production and productivity of major oilseed crops (Rapeseed-mustard, groundnut and soybean) for all three decade in Rajasthan and India were analyzed. Methodology: This paper deals with the analysis of instability in area production and productivity of major oilseed crops in Rajasthan and India. The Cuddy Della Vella Index has been used for instability analysis. It also includes the decomposition analysis to determine factors that were responsible for the change in production of the crops. The additive decomposition method has been used to determine area, yield and interaction effect. Results: Calculations revealed that the magnitude of instability in Rajasthan during period II (2000-01 to 2009-10) remained high for all the selected crops. There was instability of 32.49 percent and 34.40 percent for area and production, respectively, while 13.34 percent of variation was found in productivity. In Rajasthan, the lowest instability was observed during period III (2010-11 to 2019-20) with variation of 7.44 percent, 9.47 percent and 6.62 percent for area production and productivity of groundnut. In India, the highest instability was during period II. The area of Rapeseed-mustard has shown the highest (17.72%) instability compared to the instability of the area of other crops. Variation of production and productivity of groundnut was recorded at 24.79 and 21.88 percent, respectively, which is highest among the selected crops. The decomposition analysis revealed that the area effect was a major source for the growth of production of oilseed in Rajasthan as compared to the yield effect and interaction effect. During period I (1990-91 to 1999-2000), the area effect for rapeseed mustard, groundnut and soybean was 68.08, 87.97 and 91.35 percent. In India, both area and yield effect have a major contribution to the growth of production. During period I, the yield effect (57.50 %) was responsible for growth of rapeseed-mustard production, while groundnut and soybean had a high contribution of area effect with magnitudes of 70.86 percent and 84 percent. Area effects for groundnut and soybean were 118.44 percent and 58.06 percent during period II, respectively. Area effect (42.90%) and yield effect (45.76%) were equally responsible for the growth of rapeseed-mustard. During period III, the yield effect for rapeseed-mustard and soybean was 101.34 percent and 257.7 percent, respectively, while the area effect (52.29 %) was responsible for growth in groundnut production. Conclusion: It has been found that groundnut was the most stable crop in term of area production and productivity. The major source for the growth of production was area effect and Yield effect while interaction effect has least impact on production of crops.

Cleaning Method Validation for Determination of Residues in Anti-Cancer Drug product for Injection by Using RP-HPLC Technique

Cleaning method validation is a part of good practices in pharmaceutical sector and need to seek the contamination present in production area. OBJECTIVE: An RP-HPLC method for the cleaning samples analysis for Anti-Cancer Drug product Melphalan Hydrochloride for Injection was develop and validated. The method was developed and validated for quantitation of Cleaning of residue left in the vessels of the production equipment’s. The analytical method used to determine the complete cleaning for Melphalan Hydrochloride for Injection by HPLC method. METHOD: The Cleaning validation was performed on Inertsil ODS,C18,(150mm×4.6mm,5μm) chromatographic column temperature at 40°C, and the detection wavelength was set at 260nm. Mobile Phase-A:10mL ammonium acetate, 88mL Purified water, 10mL acetic acid, 2mL Triethylamine, and Mobile Phase-B: 1mL Buffer, 10mL acetonitrile,190mL Purified water, and at a flow rate of 1.5 mL/min, and the injection volume was 10μL. RESULTS: The validation results of Melphalan Hydrochloride were linear over the concentration from 0.10 µg/mL to 0.75µg/mL (r = 1.00) and the recoveries from LOQ to 150% and precision ranged from 50% to 76% (RSD < 30%, n =9). CONCLUSION: This method has been validated successfully and all the results met the acceptance criteria. Hence method of Cleaning Validation is suitable for testing of residue sample of Melphalan Hydrochloride for Injection.

Delineation of Management Zones for Site‐Specific Soil Nutrient Management for Sustainable Crop Production

ABSTRACTSoil nutrients deficiencies are one of the major causes of soil degradation in different parts of World, adversely impacting crop production. Delineation of soil nutrients management zones (MZs) is one of the commonly used techniques for evaluating spatial distribution pattern of soil parameters for adoption of site‐specific nutrient management. We, therefore, conducted the present study to understand the spatial distribution pattern of soil nutrients and their associated soil properties, and to delineate soil nutrients MZs in a north‐western Indian Himalayan (NWIH) region. A total of 18,930 representative surface (0–15 cm depth) soil samples were collected and processed. The processed soil sample were analyzed for pH, and electrical conductivity (EC), soil organic carbon (SOC), available N (AN), available P (AP), available potassium (AK), exchangeable Ca (Ex. Ca), exchangeable Mg (Ex. Mg), available S (AS), available Zn (AZn), available Fe (AFe), available Cu (ACu), available Mn (AMn) and available B (AB). The values of studied soil parameters varied widely with coefficient of variation ranging from 11.8% to 156%. Semivariogram analysis revealed stable, exponential and Gaussian best‐fit models for different soil parameters with weak (AP and AB), moderate (rest of soil parameters) and strong (AS) spatial dependence. Varied distribution pattern of soil parameters was visualized from ordinary kriging interpolation. Five soil nutrient management zones (MZs) were identified (using fuzzy performance index and normalized classification entropy values) by employing the techniques of principal component analysis and fuzzy c‐means clustering. Principal components with Eigen value > 1 were considered for further analysis. The soil parameters of identified MZs differed significantly. Thus, the study highlighted the usefulness of MZ delineation technique for site‐specific soil nutrient management in different cultivated areas for sustainable crop production. The developed MZ maps could suitably be used for efficient management of agronomic inputs especially fertilizer nutrients for improved environmental and economic efficiency.