Winter Season Research Articles

How Skilful Are Cloud Cover Products in Representing Observed Cloudiness in Québec?

ABSTRACT In this study, we performed, for the first time, a detailed analysis of cloudiness in Québec using station based observations and evaluated the trustworthiness of various satellite and reanalysis based cloud cover products. We found only 12 stations with observational time series long enough for providing robust analysis due to various issues related to observing methods and recording of information during the 1990s. Our results showed that Québec can be fairly cloudy throughout the year with annual mean cloud cover fraction ranging between 0.5 and 0.7 with autumn being the cloudiest season at most station locations. We also found a significantly increasing trend in cloudiness in the winter season over Québec during 1982–2012 (∼2–6% per decade depending on the location). Among the cloudiness products evaluated in this study, a satellite based cloudiness product (i.e. based on AVHRR) performed best in representing the observed cloudiness over Québec including the wintertime increasing trend. Two reanalysis based cloudiness products (i.e. ERA5 and NARR) also performed well in representing the observed cloudiness indicated by high correlations, relatively lower mean biases and smaller root mean square errors. However, the reanalysis products did not capture well the observed seasonal trends. All products showed relatively larger biases in the winter season except JRA-25 reanalysis product. During the warmer months, however, JRA-25 showed largest biases followed by MERRA-2 reanalysis product. JRA-25 and MERRA-2 also had lower correlation for annual and winter means and highest root mean square errors for all seasons. Furthermore, based on two skill scores, we found that the ERA5, AVHRR and NARR performed relatively better than JRA-25 and MERRA-2. Based on these results we conclude that the satellite product and the two reanalysis products can be useful resources (as observational proxies) along with station based observations for understanding long term changes in cloudiness of this region and also potentially evaluating regional climate model simulations.

Trace Element Composition of Surface Water in Almaty City and Human Health Risk Assessment

This investigation meticulously examined the elemental composition of 64 water samples collected during the seasons of spring, summer, autumn, and winter of the year 2023. The average seasonal concentrations of arsenic (As), beryllium (Be), cobalt (Co), cadmium (Cd), copper (Cu), lithium (Li), molybdenum (Mo), nickel (Ni), lead (Pb), selenium (Se), uranium (U), mercury (Hg), aluminum (Al), barium (Ba), chromium (Cr), iron (Fe), manganese (Mn), strontium (Sr), vanadium (V), zinc (Zn), calcium (Ca), potassium (K), magnesium (Mg), sodium (Na), and chlorine (Cl) as well as SO4 and dry residue were computed at 16 strategically selected sites along the Bolshaya and Malaya Almatinka, Esentai, and Kargalinka rivers situated in Almaty. The sampling locations were categorized into three distinct sectors: upper (adjacent to mountainous regions), middle (urban zone), and lower (exceeding city limits), thereby facilitating the examination of discrepancies in water quality and elemental concentrations. The results reveal that surface water resources in Almaty, particularly concerning As, Ni, Cr, U, and Pb, may present a considerable carcinogenic risk if utilized for consumption purposes. This is especially alarming given that these rivers constitute a vital source of drinking water for the inhabitants of the city. Specifically, at two sampling locations along the Bolshaya and Malaya Almatinka rivers in proximity to significant urban thoroughfares, untreated river water displayed an elevated carcinogenic risk (CR ~ 10−2). These results highlight the urgent necessity for enhanced water treatment and ongoing monitoring to safeguard public health.

Infectivity and immunogenicity of live-attenuated respiratory syncytial virus vaccines in HIV-exposed uninfected children

Abstract Background Respiratory syncytial virus (RSV) is the leading cause of acute lower respiratory illness among young children. HIV-exposed uninfected (HEU) children experience a higher burden of RSV disease and have immune abnormalities that may influence their responses to live-attenuated RSV vaccines. Methods In a pooled analysis of clinical trials of seven live-attenuated, intranasal RSV vaccines conducted by the IMPAACT Network among children 6 to <25 months of age with serum RSV-neutralizing titers of <1:40, the infectivity and immunogenicity of these vaccines were compared among HEU and HIV-unexposed uninfected (HUU) children. Nasal washes were collected during the first 28 days after vaccination. Serum RSV-neutralizing and anti-RSV F glycoprotein IgG antibodies were measured prior to and 56 days after vaccination, and before and after the following winter season. Results Of 156 children, 90 (58%) were HUU and 66 (42%) were HEU. Seventy-six (84%) HUU and 63 (95%) HEU participants were infected with vaccine (shed vaccine virus and/or had a ≥4-fold rise in serum RSV antibodies at 56 days after vaccination). HUU children had higher serum RSV-neutralizing and anti-RSV F IgG titers prior to vaccination. Compared to HEU children, lower percentages of HUU children had ≥4-fold rises in RSV-neutralizing (67% vs. 88%) and anti-RSV F IgG (70% vs. 89%) titers at 56 days after vaccination. Conclusions Live-attenuated RSV vaccines are highly immunogenic in HEU children. Given their increased burden of RSV disease and higher early-childhood mortality in some settings, HEU children should be prioritized for vaccination against RSV as these vaccines become available.

Analyzing Daytime/Nighttime Pedestrian Crash Patterns in Michigan Using Unsupervised Machine Learning Techniques and their Potential as a Decision-Making Tool

Background Data mining applications are becoming increasingly common across various fields. Numerous data mining methodologies have been utilized in pedestrian crash data analysis. However, association and correspondence analyses have yet to be extensively employed in pedestrian safety literature to support decision-making. Material and Methods Road lighting significantly affects pedestrian crashes, highlighting the importance of examining pedestrian crash patterns during daytime and nighttime. This study analyzed pedestrian fatal and injury crashes in Michigan from 2011 to 2021 under varying road lighting conditions. The study identified pedestrian crash patterns using unsupervised machine-learning techniques based on several multidimensional factors. The Association Rules Learning (ARL) technique was used to determine general associations of patterns leading to pedestrian crashes. At the same time, Multiple Correspondence Analysis (MCA) helped understand crash attribute patterns in two notable scenarios: elderly pedestrian crashes during daytime lighting and high-speed midblock crashes during nighttime. These methods revealed key patterns associated with contributing factors to pedestrian crashes in different lighting conditions. Results In the analysis of cloud combinations involving elderly pedestrians during daylight, it was found that: 1) elderly pedestrians were significantly involved in severe injury crashes at two-lane midblock locations with a speed limit between 45 and 65 mph; 2) improper actions by elderly drivers were significantly associated with elderly pedestrians on wide roads (>5 lanes); and 3) the complex interaction between city streets with 3-5 lanes was significantly correlated with drivers 'failed to yield' actions. Additionally, in the analysis of cloud combinations involving nighttime pedestrian crashes at high-speed midblock locations, it was found that 1) a specific age group of alcohol- or drug-involved pedestrians (19-30) was significantly associated with young drivers and improper driver actions; 2) during the winter season, young pedestrians were significantly involved in moderate injury crashes at undivided midblock locations; and 3) elderly drivers and 'failed to yield' actions were highly correlated with 3-5 lane roadways. Discussion The research findings are expected to raise awareness of Michigan pedestrian crash patterns under daytime and nighttime lighting conditions. They will also recommend safety countermeasures for practitioners to enhance pedestrian safety in walkable cities. The proposed methodologies can uncover relationships that need to be well-documented in the existing literature on pedestrian safety. Additionally, these methods can identify valuable relationships without restricting variables to being either dependent or independent, and they can reveal relationships that might be challenging to detect otherwise. The results will also provide decision rules and visualizations that are easy to understand. Conclusion The results showed that the proposed techniques can analyze pedestrian crash data in a way that aligns with understanding pedestrian crash characteristics. Traffic safety administrators could benefit from this methodology as a decision-support tool.

The Role of Benthic TA and DIC Fluxes on Carbon Sequestration in Seagrass Meadows of Dongsha Island

Coastal blue carbon ecosystems sequester carbon, storing it as plant biomass and particulate organic matter in sediments. Recent studies emphasize the importance of incorporating dissolved inorganic and organic forms into carbon assessments. As sediment-stored organic matter decomposes, it releases dissolved inorganic carbon (DIC) and total alkalinity (TA), both of which are critical for regulating the partial pressure of CO2 (pCO2) and thus carbon sequestration. This study investigated the role of benthic DIC and TA fluxes in carbon sequestration within seagrass meadows in Dongsha Island’s inner lagoon (IL) during the winter and summer seasons. Chamber incubation experiments revealed elevated benthic DIC and TA fluxes compared to global averages (107 ± 75.9 to 119 ± 144 vs. 1.3 ± 1.06 mmol m−2 d−1 for DIC, and 69.7 ± 40.7 to 75.8 ± 81.5 vs. 0.52 ± 0.43 mmol m−2 d−1 for TA). Despite DIC fluxes being approximately 1.5 times higher than TA fluxes, water pCO2 levels remained low (149 ± 26 to 156 ± 18 µatm). Mass balance calculations further indicated that benthic DIC was predominantly reabsorbed into plant biomass through photosynthesis (−135 to −128 mmol m−2 d−1). Conversely, TA accumulated in the water and was largely exported (−60.3 to −53.7 mmol m−2 d−1), demonstrating natural ocean alkalinity enhancement (OAE). This study highlights the crucial role of IL seagrass meadows in coastal carbon sequestration through net autotrophy and carbonate dissolution. Future research should explore the global implications of these processes and assess the potential of natural OAE in other coastal blue carbon ecosystems.

Effect of tillage methods and nitrogen management practices on soil mineral nitrogen and grain protein, and yield of wheat (Triticum aestivum)in rice (Oryza sativa)-wheat system

The field experiment was carried out during winter (rabi) season of 2020–21 at ICAR-Indian Agricultural Research Institute, New Delhi to study the effect of tillage methods and nitrogen management practices on soil mineral nitrogen and grain protein and yield of wheat in rice- wheat system. The experiment was laid out in a split plot design (SPD), where the main plots included 4 different crop establishment methods, and the sub-plots tested 4 nitrogen management strategies that were replicated thrice. The results showed that, residue retention in zero tillage recorded significantly (P<0.05) higher soil mineral nitrogen, protein content in grain (12.6%) and grain yield (4.99 t/ha) over other treatments. Similar results also recorded under different nitrogen management practices, where leaf colour chart (LCC)-guided N application has significantly (P<0.05) higher soil mineral nitrogen, grain protein content (12.9%) and grain yield (5.39 t/ha) over remaining treatments. The LCC-guided N application in residue retained (3 t/ha) ZT practices can be recommended in wheat under rice- wheat system for higher soil mineral nitrogen availability, improving grain protein content and productivity.

Effects of nano urea on Indian mustard (Brassica juncea) productivity and nutrient uptake in calcareous soils

The experiment was conducted during winter (rabi) seasons of 2021–22 and 2022–23 at ICAR-Directorate of Rapeseed Mustard Research, Bharatpur, Rajasthan to assess the effect of nano urea (NU) spray in conjunction with different rates of soil applied fertilizer (conventional urea) N on growth, yield, nutrient content and uptake of Indian mustard [Brassica juncea (L.) Czern. and Coss.] in a calcareous soil of arid and semi-arid region. The experiment was conducted in a randomized complete block design (RCBD) and replicated thrice The treatment combinations consisted of basal applications of fertilizers and foliar spray (FS) of nano urea (NU) either once 30 days after sowing (DAS) or twice 30 and 50–55 DAS. The field experiment comprised of 9 treatments, viz. Control; Recommended dose of fertilizer (RDF); RDN25 + NU-1FS; RDN25 + NU-2FS; RDN50 + NU-1FS; RDN50 + NU-2FS; RDN100 + NU-1FS; RDN75 + NU-1FS; and RDN75 + NU-2FS. Results revealed that treatment RDN100 + NU-1FS (single sprays of nano urea together with the 100% prescribed dose of N) produced the maximum values of 24.30 and 66.62 q/ha yield of seed and stover, respectively. However, RDN75 + NU-2FS produced statistically comparable yield to the treatment RDN100 + NU-1FS. By applying nano urea, the recommended N dose can be reduced up to 25% without compromising yield. One FS of NU with RDN100 registered highest plant height, main shoot length, main shoot siliquae number, total siliquae number/plant and the number of secondary branches of the plant, and proved superior over other treatments. Further, results exhibited that RDN100 + NU-1FS increased N, P, and K uptake values to 66.74, 10.42, and 17.85 kg/ha in seed and 44.23, 9.48, and 78.98 kg/ha in stover. Overall, it has been determined that the most efficient way to increase the yield, concentration, and uptake of N, P, and K in Indian mustard is to apply nano urea foliar at 30 and 60 DAS in conjunction with RDF.

Wheat (Triticum aestivum) response under soil moisture and crop water stress based irrigation scheduling at variable nitrogen regimes

The field experiment was conducted during winter (rabi) seasons of 2021–22 and 2022–23 at research farm of ICAR-Indian Agricultural Research Institute, New Delhi to examine the water productivity and crop response under soil moisture and crop water stress based irrigation scheduling at variable nitrogen regimes in wheat (Triticum aestivum L.). Experiment was conducted in a split-plot design (SPD) design comprised of 3 irrigation regimes in main plots and 5 graded nitrogen (N) levels in sub-plots, replicated thrice. Irrigation scheduling regimes included I1 (50% available soil moisture depletion-ASMD); I2 (CWSI i.e. crop water stress index based); and I3 (Conventional crop growth stage based). The 5 graded N levels included 0 (N0); 50 (N1); 100 (N2); 150 (N3); and 200 (N4) kg N/ha. Results showed that 50% DASM based irrigation significantly increased grain yield (11.28 and 6.30%), straw yield (5.33 and 5.70%), dry matter accumulation (5.65 and 5.44%), water productivity (11.37 and 6.19%), root length (15.89 and 44.48%), root weight (11.63 and 12.77%) and grain N uptake (20.88 and 14.52%) compared to conventional crop stage based irrigation during 2021–22 and 2022–23, respectively. Among the graded N application, maximum grain yield (4.78 and 4.82 t/ha) and crop water productivity (13.91 and 15.09 kg/ha-mm) were recorded with treatment N4 (200 kg N/ha), but remained statistically at par with N3 (150 kg N/ha) due to the marginal increment beyond 150 kg N/ha. Overall, soil moisture based irrigation at 50% MAD with 150 kg/ha N application proved to be the most effective and economical approach to enhance dry-matter accumulation, yield and water productivity with saving from harmful environmental effects ascending from excessive nitrogen use.

Survey and molecular characterization of begomovirus, and assessment of yield losses caused by leaf curl disease of sunflower (Helianthus annuus)

A comprehensive survey was conducted during winter (rabi) and rainy (kharif) seasons of 2019–20 to 2021–22 in the Kurnool, Nandyal, and Prakasam districts of Andhra Pradesh, focusing on the incidence of leaf curl disease in hybrid sunflower (Helianthus annuus L.) crop. The results revealed a high incidence of the disease, ranging from 40–94.5% across most of the surveyed hybrid varieties. Leaf curl-infected samples collected from the surveyed fields were analyzed by PCR using specific primers for the DNA-A component of the virus to confirm the presence of the pathogen. The PCR-amplified fragments were cloned and sequenced. Sequence analysis revealed that the sunflower isolate (Snf-AP) shared 99.2% nucleotide identity with the tomato leaf curl Karnataka virus (ToLCKV), which infects sunflower crops in Karnataka. This indicates a strong geographical and genetic connection between the viral strains affecting sunflowers in Andhra Pradesh and Karnataka. This genetic similarity is significant, as it suggests that the same or closely related viral strains are responsible for sunflower leaf curl disease across broader regions. The disease was found to affect sunflowers at all growth stages, with the highest incidence (42.3%) observed at the star bud stage. Infection at the star bud stage leads to substantial seed yield losses, with reductions of up to 82.8%. This level of damage underscores the economic impact of early infections, as yield losses of this magnitude can severely affect the profitability of sunflower farming. Additionally, a positive correlation was found between the whitefly population, weather parameters, and disease development.

Disease-driven yield losses in wheat (Triticum aestivum) crop under different agroclimatic locations of Punjab

The experiments were conducted during winter (rabi) seasons of 2021–22 and 2022–23 at Punjab Agricultural University, Ludhiana, Punjab to examine the yield losses due to diseases in wheat (Triticum aestivum L.) crop under different agroclimatic locations of Punjab. The experiment was conducted in split-plot design (SPD) having three dates of sowing (14th–15th October, 8th–9th November and 3rd–4th December) in main plots and wheat varieties, viz. PBW 725, HD 2967 and HD 3086 with two microclimate modification levels M1 (recommended irrigation) and M2 (additional water sprays) in sub plots, replicated four times. The yellow rust severity was maximum at Ludhiana (56.14%, 57.17%) and Gurdaspur (56.75%, 58.42%) in HD 2967 under early sown conditions in M2 treatment during 2021–22 and 2022–33, respectively. The Karnal bunt incidence was comparatively higher at Ludhiana (18.5% and 13.4%) and Gurdaspur (21.4% and 16.7%) in variety PBW 725 under normal sowing condition in M2 than other treatments during both the years of study, respectively. Grain yield during 2021–22 and 2022–23 was more in early sowing at Ludhiana (43.3 q/ha, 48.1 q/ha) and Gurdaspur (44.5 q/ha, 50.8 q/ha) than other dates of sowing. In variety × microclimate modification levels treatments, grain yield was maximum at Ludhiana (43.1 q/ha, 47.2 q/ha) and Gurdaspur (44.0 q/ha, 50.2 q/ha) in variety PBW 725 under M1 than other treatments during both the years of study. Early date of sowing recorded more yield losses followed by late and normal sowing and losses were more at Gurdaspur as compared to Ludhiana. Average yield losses during 2022–23 were higher i.e. 5.6% and 7.1% as compared to 1.6% and 2.3% during 2021–22 at Ludhiana and Gurdaspur, respectively.

Innovative organic nutrient management and land arrangements improve soil health and productivity of wheat (Triticum aestivum L.) in an organic farming system

IntroductionSoil health is vital for ecosystems, but excessive use of fertilizers, chemicals, and irrigation harms soil fertility, leading to reduced yields and degradation. Thus, exploring innovative land arrangements and nutrient management for staple crops such as wheat is essential. Organic farming offers a promising solution. This study hypothesized that an appropriate land arrangement, combined with split applications of farmyard manure (FYM) and liquid organic fertilizer, can enhance wheat productivity while also improving soil health. The objective of this study was to investigate the effects of different sowing methods and organic nutrient management practices on the productivity of wheat and soil health.MethodsThis study aimed to examine the impact of sowing methods and nutrient management practices on soil health and organic wheat productivity during the winter seasons of 2021–22 and 2022–23 at the Organic Farming Unit (Agronomy), Rajasthan College of Agriculture, MPUAT, Udaipur. The experiment was arranged in a split-plot design, with three land arrangements/sowing methods in the main plot and eight nutrient management approaches in the subplots.ResultsConcerning different land arrangements, the furrow irrigated raised bed sowing (FIRB) method resulted in the maximum wheat yield (4.34 t ha−1) compared with flat row sowing and zero tillage sowing. With respect to nutrient management practices, 75% of the recommended dose of N (RDN) through the FYM was basal + 25% RDN with the 1st irrigation + Jeevamrut application at 500 L ha−1 during sowing, and the 1st irrigation + Panchagavya spraying at 5% during the booting stage resulted in the highest grain yield (4.47 t ha−1). Both the zero tillage and FIRB land arrangements resulted in better soil biological activities and microbial counts than did flat sowing. The results indicate that sowing wheat via the FIRB method, with the recommended nitrogen dose applied through split applications of FYM along with liquid organic manures such as Jeevamrut and Panchagavya, can be an excellent option for organic wheat cultivation. This approach can enhance both yield and soil health.ConclusionSeventy-five percent RDN through FYM as a basal + 25% RDN during the 1st irrigation + Jeevamrut at 500 L ha−1 during sowing and the 1st irrigation + spraying of Panchagavya at 5% during the booting stage effectively increased the growth and yield of organic wheat. With respect to land arrangements, both FIRB and zero tillage resulted in better growth, yield, and soil biological properties. The practical utility of this study is the optimization of split applications of FYM and land arrangements for organic wheat cultivation.

Seasonality, sources apportionment, human health risks assessments, and potential implications on the atmospheric chemistry of polycyclic aromatic hydrocarbons in size-segregated aerosols from a Romanian metropolitan area.

Urbanization and industrialization are important transformations shaping the current statement of the society, enhancing significantly the combustion emissions which are threatening the global climate system, air quality, and human health. These emissions contain polycyclic aromatic hydrocarbons (PAHs) which are well known for their high toxicity. The present study is the first assessing the seasonal variation of 17 PAHs in size segregated fractions of atmospheric aerosol particles from a Romanian metropolitan area. In addition to sources apportionment and health risks, the potential role of PAHs on the atmospheric chemistry in the area was also addressed. Higher PAHs concentrations were determined in winter season, the highest values being quantified for benzo[b]fluoranthene, benzo[a]pyrene, and indeno[1,2,3-cd]pyrene. Each analyzed PAH exhibited a dominant peak in the accumulation mode (0.1-1.0 μm), with maxima at 381 nm. Gasoline combustion was identified as a significant contributor to the PAHs levels in the atmospheric aerosols from the area. Biomass-burning contributions were highlighted during the winter and autumn seasons. The positive matrix factorization (PMF) model apportioned four PAHs sources, as follows: vehicular (31%), mixed combustion (33%), biomass and wood burning (19%), and coal and natural gas combustion (18%) sources. Concentration-weighted trajectory (CWT) analysis method revealed clear contributions to PAHs abundances from local and regional air masses. Alveolar region of adults seems to have the highest susceptibility for PAHs deposition. Values exceeding acceptable limits for carcinogenic risk throughout the year are associated with benzo[a]pyrene, benzo[b]fluoranthene, indeno[1,2,3-cd]pyrene, benzo[a]anthracene etc. The present study can be considered as a reference in the region in order measures of mitigation and control for PAHs emission sources to be introduced.

Biochemical diversity in Brassica leafy greens and sensory evaluation of its Saag, an Indian cuisine known for its cancer-preventive properties

Abstract Despite the wide consumption of Brassica leaves as Saag in North India during the winter season, there is a notable gap in the information regarding the nutritional profile of the available germplasm resources. This study aims to compare the nutritional value and mineral composition of eleven green leafy Brassica accessions of Indian and exotic origin. A significant variation was recorded in health-promoting compounds among the different accessions. The heat map generated through hierarchical clustering analysis (HCA) depicts three promising accessions, namely Chinese Sarson, Saag sarson, and KPT 9, which exhibit rich nutritional and antioxidant properties. Additionally, ascorbic acid and total phenols significantly correlated with the antioxidant activity of Brassica leafy greens. A significant difference in the compositional pattern of key macro-minerals (Ca, Mg, P) and micro-minerals (Zn, Fe, Cu, Mn) was noticed in the accessions. Among the eleven accession studied, GSC 7, Saag Sarson and Kangra Brown Sarson 3 exhibited richness in these elements, making them a suitable source for supplying a sizable portion of our daily mineral requirements. Subsequently, the Saag, an Indian cuisine prepared from the leaves of these accessions was subjected to sensory evaluation. The results showed that Chinese Sarson and Saag sarson received the highest consumer acceptance and were greatly appreciated. The information acquired from this study could serve as a valuable reference for the selection of high-quality leafy Brassica varieties for breeding programs aimed at enhancing nutritional value and broadening the genetic base of this important food crop.

Modeling the Time-Dependent Variation of Road Salt Concentrations Using Analytical and Machine-Learning Approaches to Advance Service Life Predictions for Concrete Structures

The exposure of concrete structures to environmental and climatic conditions is detrimental to their durability. In northern climates, the key contributor to their degradation is corrosion of the reinforcing steel because of chloride ions originating from de-icing salts applied on roadways during the winter season. In consequence, a key input parameter for predicting the time to the initiation of corrosion for concrete elements is the time history of the concentration of chloride ions at their surfaces. To investigate this issue, a specialized mobile monitoring station was deployed along a roadway over several winter seasons to collect data on salting operations, weather conditions, and the temporal variation of chloride ion levels on the roadway. At first, salting operations were monitored, and then exploratory and machine-learning algorithms were applied to develop relationships between weather conditions, road conditions, and chloride ion concentrations. The first proposed model is based on the simulation modeling approach, while the second is based on the machine-learning XGBoost model. The findings demonstrate that both models can predict the variation of salt concentration on the road surface as a function of time after a salting operation. By accounting for the time dependency of surface chloride in service life models, more accurate predictions of corrosion initiation time are possible, since the rate of penetration of chloride ions is highly dependent on wetting/drying cycles throughout the winter.

Evaluation of Rabi Maize-based Intercropping System for Augmenting the Productivity and Profitability of Rabi Maize under Irrigated Conditions of Bihar

Background: A combination of maize and legume, cabbage and potato in intercropping benefits the agricultural production system due to different peak period of growth and synergistic effects, which reflected into yield advantage. In order to reduce nutritional competition and the yield gaps between actual production and production potential for both crops in the intercropping system, more information is required for the optimization of maize-based intercropping systems. So, keeping above fact in mind, the present study was undertaken to find out the suitable rabi maize based intercropping system for augmenting productivity and profitability of maize. Methods: A field experiment was conducted on the farmer’s field of selected villages of KVK Bhagalpur (on-farm trials) during the winter (rabi) season of 2020-21 and 2021-22 on rabi maize to validate, refine and popularize the technology developed at Bihar Agricultural University, Sabour, Bhagalpur (Bihar) and ICAR-Indian Institute of Maize Research (IIMR), Ludhiana, for enhancing the productivity and profitability of rabi maize. The experiment, comprising four treatments, viz., sole rabi maize (farmer’s practice), maize + potato (1:1 row ratio), maize + vegetable pea (1:2 row ratio) and maize + cabbage (1:1 row ratio), was arranged in a randomized block design (RBD) with five replications. All five farmers selected for experimentation were treated as replications. Result: Experimental results revealed that all three intercropping associations of maize + vegetable pea (1:2 row ratio), maize + potato (1:1 row ratio), maize + vegetable pea (1:2 row ratio) and maize + cabbage (1:1 row ratio) produced significantly higher maize equivalent yields than the sole crop of rabi maize. However, among the intercropping systems, maize + vegetable pea (1:2 row ratio) produced the highest maize equivalent yield (241.0 q/ha) and significantly incurred the highest net return (322093 ₹ /ha), as well as a higher B: C ratio (6.04) than the rest of the intercropping systems as well as sole crop of rabi maize.

Constraints Faced by the Farmers in the Production and Marketing of Onions in the Western Undulating Zone of Odisha, India

This paper aimed to investigate the limitations associated with onion farming in the western undulating agroclimatic zone of Odisha, specifically regarding production, marketing, and storage. The study employed a multi-stage purposive sampling technique. The state was divided into 10 zones based on agro-climatic characteristics, and the district from the western undulating zone, Kalahandi districts, was purposively chosen since many farmers in these regions, like others in Odisha, cultivate onions throughout the winter season. A total of 90 farmers (45 from Bhawanipatna block and 45 from Golamunda block) were selected at random and interviewed directly for the purpose of study. Furthermore, the location, climatic conditions, and soil are ideal for onion cultivation. Kalahandi was chosen in 2021–2022. According to the survey, labour shortages for weeding, ignorance of improved varieties, high labour costs, ineffective and expensive weedicides, high seed costs, etc. were the top five problems faced by onion growers. The main difficulties faced by onion growers during marketing included low prices during harvest, which were followed by sharp price fluctuations, high transportation costs, payment delays, a lack of market news and information, a lack of storage facilities, etc. in the research area. To ensure an effective produce marketing system, the government, developmental agencies, marketing boards, and NAFED should intervene by enhancing the market infrastructure at the taluk and district levels and supplying timely market information. Farmers may be able to overcome the issue of price fluctuations if government authorities intervene promptly and announce an extension or announcement of the government support price for onion crops.

The Kernel Density Estimation Technique for Spatio-Temporal Distribution and Mapping of Rain Heights over South Africa: The Effects on Rain-Induced Attenuation

The devastating effects of rain-induced attenuation on communication links operating above 10 GHz during rainy events can significantly degrade signal quality, leading to interruptions in service and reduced data throughput. Understanding the spatial and seasonal distribution of rain heights is crucial for predicting these attenuation effects and for network performance optimization. This study utilized ten years of atmospheric temperature and geopotential height data at seven pressure levels (1000, 850, 700, 500, 300, 200, and 100 hPa) obtained from the Copernicus Climate Data Store (CDS) to deduce rain heights across nine stations in South Africa. The kernel density estimation (KDE) method was applied to estimate the temporal variation of rain height. A comparison of the measured and estimated rain heights shows a correlation coefficient of 0.997 with a maximum percentage difference of 5.3%. The results show that rain height ranges from a minimum of 3.5 km during winter in Cape Town to a maximum of about 5.27 km during the summer in Polokwane. The spatial variation shows a location-dependent seasonal trend, with peak rain heights prevailing at the low-latitude stations. The seasonal variability indicates that higher rain heights dominate in the regions (Polokwane, Pretoria, Nelspruit, Mahikeng) where there is frequent occurrence of rainfall during the winter season and vice versa. Contour maps of rain heights over the four seasons (autumn, spring, winter, and summer) were also developed for South Africa. The estimated seasonal rain heights show that rain-induced attenuations were grossly underestimated by the International Telecommunication Union (ITU) recommended rain heights at most of the stations during autumn, spring, and summer but fairly overestimated during winter. Durban had a peak attenuation of 15.9 dB during the summer, while Upington recorded the smallest attenuation of about 7.7 dB during winter at a 0.01% time exceedance. Future system planning and adjustments of existing infrastructure in the study stations could be improved by integrating these localized, seasonal radio propagation data in link budget design.

Hydrochemical characterization and sustainability assessment of Ismailia canal water, Eastern Nile Delta, Egypt: implications for human health and environmental safety

Surface freshwater systems globally face severe stresses due to overpopulation and associated waste. The Ismailia Canal, a crucial freshwater source in the eastern Nile Delta, Egypt, serves multiple purposes and is endangered by various environmental activities. This study characterizes the canal’s water using physicochemical parameters to evaluate its suitability for different uses. Water samples were collected twice in winter and summer seasons of the year 2018 from eight sites distributed along the course of Ismailia Canal. A comprehensive chemical analysis of the samples was carried out. Water chemistry was graphically and statistically assessed. Water qualities were evaluated using WHO guidelines, water quality index (WQI), Pollution indices of metals (PIm) and long- and short-term effect of trace elements on irrigation. Results show that the water is slightly alkaline and moderately hard, with higher salinity in winter than summer. Major cations and anions are higher in winter, whereas NO₃ is higher in summer. The canal water is primarily of the Ca(Mg)-HCO₃ type, influenced mainly by rock-water interactions. While most physicochemical parameters meet drinking water standards, Al, Sb, As, Cd, Fe, Pb, and Tl exceed limits, with significant impacts from Al and Tl year-round, and seasonal impacts from As, Pb, Cd, and Fe. For irrigation, water quality is generally unaffected in winter, but Mo and Se have slight impacts in summer for long-term use. This research is vital for informing sustainable water management practices, which are crucial for Egypt’s research initiatives, economic stability, and environmental sustainability.

Effect of Total Chlorophyll Content and Relative Water Content of Mini Tuber Potato under Aeroponic Condition in Jammu Region, India

The present study determine the effect of Total Chlorophyll Content and Relative Water Content of Mini Tuber Potato under Aeroponic Condition in Jammu Region, India. The adoption of new production technologies, usage of better varieties, quality seed material, good storage facilities, and transportation in recent years have helped to expand area, production, and productivity in India. The present study was conducted in the Division of Plant Physiology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu. The experiment was conducted during winter and spring seasons in 2022-23. Two varieties Kufri Badshah and Kufri Jyoti were taken as experimental material. Potato tubers were sown in net pots containing growing media and seedlings were transplanted at five leaves stage in the aeroponics system. The experiment was laid out in Completely Randomized Design with two treatments viz, T1 (cocopeat 100%) and T2 (cocopeat +vermiculite+ perlite+ vermicompost) in ratio (2:1:1:2) and after two weeks of transplanting data was recorded at three different stages of crop growth (20 DAT, 45 DAT and 80 DAT). The results clearly indicated that treatment T2 coco peat + perlite + vermiculite + vermicompost in the ratio of 2:1:1:2 was the most promising treatment for improving the, biochemical parameters, physical parameters and quality of both potato varieties when compared to other treatments.

Assessing the impact of tillage practices and nutrient levels on the growth and productivity of Ethopian mustard (Brassica carinata L.) - soybean (Glycine max (L.) Merr.) cropping system

BackgroundAn importance of tillage, inorganic and organic nutrient sources in the mustard - soybean cropping system lies in their ability to enhance soil fertility, improve nutrient availability, optimize crop growth and yield, and promote sustainable agricultural practices. Any cropping system’s sustainability could be increased by implementing better management techniques like zero and reduced tillage with residue retention and better nutrient sources.ResultsA field experiment was conducted for four consecutive seasons (Winter 2019 to Rainy 2021) to compare the two enhanced management practices, zero and reduced tillage to conventional tillage across four levels of nutrient sources: 75 and 100% recommended dose of nitrogen through FYM and 75 and 100% recommended dose of fertilizers through urea, single super phosphate and muriate of potash in a two years experiment. Experiment results were evaluated in terms of nutrient status, profitability and productivity of Mustard-Soybean cropping system. The results show a substantial improvement in yield, nutrient status, and overall yield performance of mustard and soybean when using the full recommended dose of fertilizers combined with reduced tillage and mulching, compared to other treatment methods. The implementation of reduced tillage practices recorded significantly higher yield of mustard and soybean over conventional and zero tillage.ConclusionSystem productivity and profitability i.e. mustard equivalent yield, productivity, gross returns, net returns, profitability and B: C (benefit: cost) was found to be improved with reduced tillage and 100% recommended dose of fertilizer under reduced tillage practices. To enhance cropping system productivity in various sub-humid regions worldwide, farmers can adopt reduced tillage techniques combined with the full recommended dose of fertilizers (100% RDF).