Harvest Season Research Articles

Using solid phase adsorption toxin tracking and extended local similarity analysis to monitor lipophilic shellfish toxins in a mussel culture ranch in the Yangtze River Estuary

Harmful algal blooms (HABs) and their associated phycotoxins are increasing globally, posing great threats to local coastal ecosystems and human health. Nutrients have been carried by the freshwater Yangtze River and have entered the estuary, which was reported to be a biodiversity-rich but HAB-frequent region. Here, in situ solid phase adsorption toxin tracking (SPATT) was used to monitor lipophilic shellfish toxins (LSTs) in seawaters, and extended local similarity analysis (eLSA) was conducted to trace the temporal and special regions of those LSTs in a one-year trail in a mussel culture ranch in the Yangtze River Estuary. Nine analogs of LSTs, including okadaic acid (OA), dinophysistoxin-1 (DTX1), yessotoxin (YTX), homoyessotoxin (homoYTX), 45-OH-homoYTX, pectenotoxin-2 (PTX2), 7-epi-PTX2 seco acid (7-epi-PTX2sa), gymnodimine (GYM) and azaspiracids-3 (AZA3), were detected in seawater (SPATT) or rope farmed mussels. The concentrations of OA + DTX1 and homoYTX in mussels were positively correlated with those in SPATT samplers (Pearson test, p < 0.05), indicating that SPATT (with resin HP20) would be a good monitoring tool and potential indicator for OA + DTX1 and homoYTX in mussel Mytilus coruscus. The eLSA results indicated that late summer and early autumn were the most phycotoxin-contaminated seasons in the Yangtze River Estuary. OA + DTX1, homoYTX, PTX2 and GYM were most likely driven by the local growing HAB species in spring and summer, while Yangtze River diluted water may impact the accumulation of HAB species, causing potential phycotoxin contamination in the Yangtze River Estuary in autumn and winter. Together, the results showed that the mussel harvesting season, late summer and early autumn, would be the season with the greatest phycotoxin risk and would be the most contaminated by local growing toxic algae. Routine monitoring sites should be set up close to the local seawaters.

Sensory profiling of pears from the Pacific Northwest: Consumers' perspective and descriptive analysis.

This study used data from consumer testing, descriptive analysis (DA), and preference mapping to determine the sensory characteristics of pear cultivars from two harvest seasons in the Pacific Northwest (PNW). A trained sensory panel (n=10) used generic DA to evaluate multiple sensory modalities of 22 pear cultivars. Six pears from summer and six from winter season were evaluated by consumers (n=219) to assess their liking of different attributes. Results of the DA showed the trained panel significantly discriminated the summer and winter pears on most of the sensory modalities. To identify the attributes driving consumer acceptability, external preference mapping was applied. Attributes such as pear aroma, pear flavor, sweet, sour, and juicy were the most contributory attributes to the liking of the summer pears. Conversely, fermented aroma, stemmy-woody aroma, fermented flavor, stemmy-woody flavor, and grainy-gritty attributes were associated with a reduction in consumer liking. Summer cultivars, "Bartlett," coded pear 573, and "Seckel" had the broadest preference, satisfying 60% to 80% of the consumers. Seventy-five percent of the consumers identified winter cultivars "Comice" and "Paragon" as the most appealing. Overall, cluster analysis showed that different pears appeal to different types of consumers; however, summer cultivars like "Bartlett" and "Seckel" and winter cultivars like "Comice" and "Paragon" would appeal to the greatest number of consumers in the PNW market. PRACTICAL APPLICATION: Sensory attributes like pear flavor, sweet, and juicy, were important drivers of liking for pear consumers in the Pacific Northwest. These results should prove useful to pear growers and marketers to increase pear consumption in the United States.

Experimental and computational comparison of freeze-thaw-induced pressure generation in red and sugar maple.

Sap exudation is the process whereby trees such as sugar (Acer saccharum Marsh.) and red maple (Acer rubrum L.) generate unusually high positive stem pressure in response to repeated cycles of freeze and thaw. This elevated xylem pressure permits the sap to be harvested over a period of several weeks and hence is a major factor in the viability of the maple syrup industry. The extensive literature on sap exudation documents competing hypotheses regarding the physical and biological mechanisms that drive positive pressure generation in maple, but to date, relatively little effort has been expended on devising mathematical models for the exudation process. In this paper, we utilize an existing model of Graf etal. (J Roy Soc Interface 12:20150665, 2015) that describes heat and mass transport within the multiphase gas-liquid-ice mixture in the porous xylem tissue. The model captures the inherent multiscale nature of xylem transport by including phase change and osmotic transport in wood cells on the microscale, which is coupled to heat transport through the tree stem on the macroscale. A parametric study based on simulations with synthetic temperature data identifies the model parameters that have greatest impact on stem pressure build-up. Measured daily temperature fluctuations are then used as model inputs and the resulting simulated pressures are compared directly with experimental measurements taken from mature red and sugar maple stems during the sap harvest season. The results demonstrate that our multiscale freeze-thaw model reproduces realistic exudation behavior, thereby providing novel insights into the specific physical mechanisms that dominate positive pressure generation in maple trees.

Seasonality of associations between production of indigenous foods and food security status of mother-child dyads in Kisumu County, Kenya

BackgroundFood insecurity is a major predicament for rural populations, especially mothers and children, whose livelihoods are often dependent on rain-fed agriculture. Indigenous foods have the potential of mitigating food insecurity as they can thrive in poor agro-ecological conditions. However, the associations between indigenous food production and food security status of mothers and children drawn from rural contexts has not been expansively assessed. Food insecurity evident by high food poverty rates remain high in Kisumu County due to over-reliance on food imports from other counties. The objective of the study was to assess seasonality in associations between production of selected indigenous foods (kidney beans, soya beans, millet, cassava, sweet potatoes, groundnuts, green grams, cow peas, amaranth leaves, spider plant leaves, black night shade leaves, mangoes, guavas, lime, and tamarind) and food security status of mothers and children during planting and harvesting seasons.MethodsWe used a longitudinal study design adopting both quantitative and qualitative data collection methods. A structured questionnaire assessed production of selected indigenous foods in the sampled households, Household Food Insecurity Access Scale for mother’s food security status and Prevalence of Underweight for children’s food security status. Ordinal logistic regression was used to derive odds ratio (OR), which assessed strength of associations between dependent variables (mother’s and children’s food security status) and independent variables (production of selected indigenous foods). Significance was determined at α ≤ 0.05.ResultsResults demonstrated that during planting season, production of kidney beans decreased the odds of mothers being severely food insecure by 53% (OR = 0.469, 95% CI = 0.228–0.964, p = 0.039). In the same season, sorghum production demonstrated 3.5 times increase in odds of children being severely food insecure (OR = 3.498, 95% CI = 1.454–8.418, p = 0.005). During harvesting season, production of kidney beans was associated with a 62% reduction in the odds of children being severely food insecure (OR = 0.379, 95% CI = 0.190–0.754, p = 0.006).ConclusionsProduction of some of the selected indigenous foods demonstrated significant odds of predicting mother’s and children’s food security status across both study seasons. An intervention-based study approach that would best establish causal associations of indigenous food production and food security status is recommended.

Modeling sugarcane development and growth within ECOSMOS biophysical model

Sugarcane plays an important role in electricity and sugar production and is a viable biofuel. Developing and optimizing a mechanism that can predict crop growth and yield at different spatiotemporal scales can promote the understanding of the effects of cultivation on the ecosystem, while providing options for optimizing management measures and improving the operational procedures of sugarcane growers. The main objective of this study is to integrate the sugarcane module into the ECOSystem MOdel Simulator (ECOSMOS) model and calibrate a parameter set for sugarcane genotypes groups (using different datasets); the model supports datasets that vary in complexity (from flux tower experiments to operational plots), while accounting for high genotype-by-environment-by-management (GxExM) variability. First, we calibrated the ECOSMOS biophysical and physiological parameters for the sugarcane module using two micrometeorological experimental sites, based on eddy-covariance and biomass measurements. Second, sugarcane genotypes located in different regions of contrasting climate conditions were split into two groups based on their period of harvest, i.e., early or mid-to-late harvest season, and two parameter sets were proposed. The sugarcane module was used to estimate the yield of numerous plots, using two different parameter sets, namely, the general and regionally-specific parameter sets. The model could successfully simulate the biophysical and physiological processes of the biomass of stalks and leaves, energy and carbon fluxes, and soil-water dynamics; for Experimental Site 2, the Nash-Sutcliffe efficiency (NSE) was 0.14–0.86 and the relative root mean square error (RRMSE) was 13–112. However, the generic parameter set did not perform well in all production environments, and the difference between the observed and simulated yields ranged from 0.9 to 14.5 (Mg ha-1). Hence, a novel calibration approach adopted in this study improved the module’s accuracy, while improving the performances for all five production environments, with the difference between the observed and simulate yields being 0.3–2.2 (Mg ha-1). Although the two parameter sets can be used as a reference for sugarcane plantations in Brazil, we recommend recalibrating the model (for ensuring higher accuracy) before operational applications. Notably, the ECOSMOS-sugarcane model is emerging as a complex ecosystem model that can support the quantifications and evaluations of the effects of sugarcane plantations on the carbon and water balances in different environmental conditions, particularly in tropical regions.

Seasonal and culture period variations in the lipid and fatty acid content of Ulva lactuca cultivated in Mikhmoret onshore (Israel)

Abstract The use of high-value fatty acids (FA), omega-3 (n-3), and omega-6 (n-6) from seaweed could relieve the pressure from natural wild fish sources and reduce overfishing worldwide. This research is designed to explore how the harvest season (winter, spring, and summer) and culture period influence the biomass production yield, lipid content, and FA composition in the green seaweed Ulva sp. The studied seaweed was grown in plastic sleeves with flowthrough seawater in Mikhmoret (East Mediterranean, Israel) from July 2019 to December 2020. The Ulva species was identified as Ulva lactuca Linnaeus by DNA barcoding using rbcL, ITS, and tufA markers. No detectable genetic variability in U. lactuca samples was found throughout the research period. A quantitative examination of the lipid and FA content in U. lactuca in different harvest seasons revealed that the maximum content of lipids was in the summer, and that of polyunsaturated fatty acids (PUFAs) was in the winter. The PUFA profile included eicosapentaenoic acid, docosapentaenoic acid, docosahexaenoic acid, n-3, and n-6, where the n-6/n-3 ratio was comparable with the desired range for a balanced nutritional diet.

Seasonal and Root-Specific Metabolomic Profiles of Panax Ginseng Meyer by Ultra-High Performance Liquid Chromatography-Quadrupole-Time-of-Flight-Mass Spectrometry (UPLC-QTOF-MS) and Partial Least Squares-Discriminant Analysis (PLS-DA)

The chemical composition of ginseng varies by several factors such as age, harvest season, and region. Each part of fresh ginseng contains certain valuable bioactive compounds; however, chemical studies of ginseng have focused on the ginsenoside content. In this study, we examine the chemical composition of Panax ginseng Meyer as related to harvest season and specific root parts via untargeted metabolomics using ultra-high performance liquid chromatography-quadrupole-time-of-flight-mass spectrometry (UPLC-QTOF-MS). Multivariate statistical analysis such as partial least squares discriminant analysis (PLS-DA) was used to select significant metabolites distinguishing ginseng harvested in different seasons and various ginseng parts. The selected thirteen metabolites were identified as amino acids, ginsenosides, and fatty acid amides through MS fragment pattern analysis. Additional chemometric analysis revealed chemical consistency between main and fine roots regardless of harvest time, indicating a stable chemical composition in P. ginseng among seasons. Furthermore, most ginsenosides among the thirteen selected metabolites had higher abundance in fine roots than in main roots, while primary metabolites were more abundant in main roots, highlighting a unique chemical composition dependent on the specific root parts.

Estimating the Seasonality of Bent-Nose Clam (Macoma nasuta) Harvesting at a 3,000-Year-Old Ancestral Ohlone Site (CA-ALA-11) on the San Francisco Bay

ABSTRACT This article investigates the harvest month for bent-nose clams (Macoma nasuta) at CA-ALA-11, an estuarine site in the modern-day city of Alameda along the San Francisco Bay. The archaeological deposit in which the clam shells were recovered dates primarily to the Early Period (3,350–2,550 cal BP) and Early-Middle Transition (2,550–2,150 cal BP), although some activity continues through 2,650 BP. Season of harvest estimates for clams offers insight into Indigenous use of estuarine resources and the degree of sedentism or length of habitation at this locality. Water salinity varies predictably in San Francisco Bay, from annual lows in winter to highs in summer. We used oxygen isotopes (δ18O) to estimate season of harvest by sampling at the intact terminal growth edge of the shell, which records salinity at the time of harvest. Three additional samples represent earlier periods of shell growth. Results show that while clams comprise a minority of the shellfish harvested, clamming took place between January and August, with a marked peak in mid-winter (February). There is no evidence for fall harvesting, which suggests that people were either not living at CA-ALA-11 during this time or focused on acquiring other seasonally available foods. We compare these results to previously published data on seasonality of clam harvesting from five other San Francisco Bay area sites.

Impact of soil type and harvest season on the ratooning ability of sugarcane varieties

Summary Sugarcane varieties differ in their ratooning ability (RA), and it is hypothesized that soil types and harvest seasons impact varieties’ RA. However, the effects of these factors on varieties’ RA remain unclear. This study aimed to assess the RA of different commercial sugarcane varieties (NCo376, N19, N23, N25, and N36), and establish the effects of soils and seasons on ratoon yields of these varieties in Eswatini. Fifteen years data on tons cane per ha per annum (TCHA) and tons sucrose per ha per annum (TSHA) achieved by plant cane and seven ratoon crops were collected from four commercial growers and analysed using linear regression models. The varieties significantly differed in RA. Variety N25, which had the highest plant cane yields (121.3 TCHA and 16.7 TSHA), had the sharpest yield decline over ratoon crops (–2.74 TCHA and −0.33 TSHA), suggesting that this variety is more suitable for short crop cycles. Variety N36 had second highest plant cane yields (111.7 TCHA and 16.4 TSHA) and a lower ratoon yield decline (–1.38 TCHA and −0.16 TSHA) than N25, suggesting that it is suitable for longer ratoon crop cycles. While soil type and harvest season significantly affected the relative yields of varieties, they did not significantly impact their RA, indicating that differences in varieties’ RA were driven by genotype and were relatively stable across environments. This suggests that tests to assess the adaptability of varieties should be conducted in multiple environments, while testing the RA of varieties may be conducted in fewer environments.

Enhancing Agricultural Decision-Making through Data Analysis: Predicting Crop Health Outcomes

This research employs advanced data analysis techniques to predict crop health outcomes during harvest seasons, with a focus on insect count, pesticide use, and soil type. The study encompasses two main components: feature correlation and predictive modeling. Feature engineering techniques are applied to capture variations in pesticide use and insect infestation, enhancing predictive capabilities. Ensemble methods, including Random Forest, XGBoost, and Decision Trees, are employed to forecast patterns of crop damage based on identified trends. Decision Trees exhibit robust capabilities, achieving an impressive accuracy rate of 90.03%. Random Forest excels with a robust accuracy of 90.35%, highlighting its classification abilities. XGBoost stands out with an accuracy rate of 86.51%. In contrast, Logistic Regression, Naive Bayes, and Convolutional Neural Networks face challenges, displaying lower accuracy. The evaluation further emphasizes the strength of ensemble methods and Decision Trees through precision, recall, and F1-Score metrics, providing a comprehensive understanding of relationships within pesticide damage. The framework of the study introduced in this paper can be seen as a major step forward with regard to agricultural decision-making. We present actionable strategies to enhance crop health while reducing damage through the integration of feature correlation, predictive modeling and precise evaluation metrics. The innovativeness is in the use of ensemble methods and Decision Trees that are implemented to promote informed decision-making among stakeholders through a sustainable approach to agriculture.

Rootstock/scion compatibility effects on yield components in avocado cv. Hass in three locations in Colombia

This work aimed to evaluate the effects of stem morphological alterations resulting from grafting, defined as compatibility and incompatibility between the rootstock and scion, on fruit yield and quality of avocado cv. Hass in three producing areas in Colombia (Rionegro, El Peñol and Anserma) over two consecutive years. Avocado orchards were established by seedlings obtained by grafting Hass scions upon creole rootstock seedlings. Avocado grafted plants were propagated with tip grafting, with a scion bud of cv. Hass (standard procedure). A split-plot design with a blocking factor per locality was used. Main plot corresponded to the harvest season, and subplots to rootstock/scion degree of compatibility. Results showed that compatibility treatments did not significantly affect yield (kg/tree) and fruit number per tree. In 2020, main harvest presented the highest yield (48.05 kg/tree) and fruit number (321 fruits/tree), while in 2021, secondary harvest presented the lowest yield (7.31 kg/tree) and the fruit number (52 fruits/tree). Main harvests contributed with 71.4% for total average production of each year, while secondary harvests completed the fruit yield with 28.6%. Finally, rootstock/scion compatibility did not affect fruit number, fruit caliber distribution, and yield per tree, while yield was affected solely by harvest season.

The development of honey pineapple jam production facilities in Bantaeng Regency

Bunga Resky pineapple jam processing industry is located in Bantaeng Regency, which processes pineapples obtained from its own managed land. This industry has the potential with abundant fruit production during the harvest season. However, there are limitations related to the layout of the production facilities. The purpose of this research is to determine the pattern of development design in the pineapple jam processing industry at UKM Bunga Resky in Bantaeng Regency using Activity Relationship Chart (ARC) and BLOCPLAN. There are 20 altenative layout options generated by the BLOCPLAN method, with the layout selected based on the R-Score values approaching 1 and the lowost rail-dist score while considering the existing conditions in the industry. The selected layout is the layout 8, chosen because it has the best production flow suitability.

Changes in the nutrients, phytochemical profile and antioxidant activity of Rheum officinale Baill. leaf blades during different growth periods.

Rhubarb contains an abundance of compounds and nutrients that promote health through various activities; however, these activities are affected by the harvest season. In this paper, the changes in nutrients, phytochemical profiles and antioxidant activity of Rheum officinale leaf blades (LRO) during different growth periods were investigated. The results showed that LRO is a good source of protein, fiber, and minerals and contains abundant fatty acids; however, as the harvest time increased from March to July, the levels of protein and amino acid decreased, and the levels of other nutrients reached a maximum in May or June. LRO also contains flavonoids, terpenoids, and quinones. As the harvest time increased, the quinone content decreased, possibly due to the unstable chemical properties of quinones at high temperatures. The flavonoid contents reached a maximum in May or June. This study indicated that LRO is a source of nutrients and chemical components and can be used for functional food production. In addition, the nutrients and chemical components related to the antioxidant activity of LRO changed according to the harvest season.

Effect of Blue Agave (Agave tequilana Weber) Management on Soil Erosion

The expansion of blue agave ( Agave tequilana Weber) plantations beyond the plant’s original distribution range in the state of Jalisco, Mexico, has caused a drastic change in land use and crop patterns, exerting pressure on natural resources. This study originated based on a request from landowners who leased their land to a tequila company to grow agave in the municipality of Autlán. Therefore, this study records the effect of crop management on the degradation of non-renewable soil and water resources in plots conventionally managed by the company compared to the one managed by a private owner The sampling unit was 2 m × 5 m runoff lots, with a repetition and a control lot (without vegetation cover) with a 6% slope. Sampling was carried out in the rainy season from July to October, 2020. The results showed different behavior between repetitions. Total sediment yield in the farmer’s plot was 9.260 t ha−1 and in its control 6.844 t ha−1 versus the company’s plot of 13.796 t ha−1 and its control 5.233 t ha−1. These values reflect an increase in soil loss by 26% and 62%, respectively, due to management effects. The difference between sites is due in part to the different rainfall intensities and distribution of recorded rainfall separates the two sites. Given these results, there is a lack of knowledge of the impact of crop management on soil degradation by companies and farmers who lease or plant blue agave, in addition to the absence of a sustainable project that considers the conservation of soil and water, based on agronomic and cultural measures before, during, and after the harvest season by the municipality and state authorities and the agave-tequila companies.

Phytochemical components analysis and hypolipidemic effect on hyperlipidemia mice of the aerial parts from Allium sativum.

The bulbs of Allium sativum are widely used as food or seasoning (garlic), while they have also been utilized as a famous traditional medicine since ancient eras for the treatment of scabies, tuberculosis, pertussis, diarrhea and dysentery, etc. However, very few studies focus on their abundant aerial parts, which are normally discarded during the harvest season. The hyperlipidemic mice model has been used to study the lipid-lowering effect of the aerial parts in this article. 180 mice were randomly divided into 18 groups, including blank control (BC), model (Mod), positive control (PC), and low-, medium-, and high-dose groups of the crude extract, petroleum ether, ethyl acetate, n-butanol, and residual water extracts (corresponding to CE, PEE, EAE, NBE, WE), with 10 mice in each group. The preventive effects of the extracts on hyperlipidemic mice lasted for four weeks. Ultra performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-Q/TOF-MS) and gas chromatography tandem mass spectrometry (GC-MS/MS) were used to analyze the chemical components of NBE and PEE respectively. The results of the mice experiment showed that n-butanol extract (NBE) and petroleum ether extract (PEE) from the aerial parts could significantly reduce the contents of total cholesterol (TC), triglycerides (TG), low density lipoprotein cholesterol (LDL-C), alanine transaminase (ALT) and aspartate transaminase (AST) in serum of hyperlipidemic mice, and increase the contents of high density lipoprotein cholesterol (HDL-C). They could enhance the activity of superoxide dismutase (SOD) in liver and reduce the level of malondialdehyde (MDA). At the same time, they could improve steatosis and inflammation of liver cells. The results of phytochemical components analysis showed that NBE was rich in organic acids, flavonoids and nitrogen-containing constituents, while PEE contained organic sulfur compounds, aliphatic acids and derivatives, alkaloids, phytosterols, etc. These results support that the aerial parts of A. sativum are an interesting source of bioactive ingredients that may be useful in the prevention and treatment of hyperlipidemia.

Identification of Donors for Fresh Seed Dormancy and Marker Validation in a Diverse Groundnut Mini-Core Collection

Domestication and extensive selection in the development of modern, high-yielding commercial groundnut cultivars have resulted in the selection of an undesirable trait known as in situ germination, which is also referred to as the pre-harvest sprouting of seeds. This is particularly prevalent in regions where humid weather coincides with the harvest season. Delayed harvesting and pre-sprouting can cause production losses and increase the chances of aflatoxin contamination, thereby impeding the quality and kernel yield. Breeding early maturing groundnut cultivars with 2–3 weeks of fresh seed dormancy, particularly in Spanish-type cultivars, enhances the sustainability of agriculture. In this context, we conducted a comprehensive evaluation of a groundnut mini-core collection, a major resource for genetic diversity, for fresh seed dormancy using an in vitro germination assay for two seasons, viz., rainy 2022 and post-rainy 2022–2023 at ICRISAT (Hyderabad). To enhance the effectiveness and accuracy of traditional breeding methods via the use of markers for marker-assisted selection, we performed molecular screening of the mini-core accessions using two allele-specific markers. The GMFSD1 marker was successfully validated by effectively differentiating dormant and non-dormant genotypes. By employing phenotypic and marker data, we identified a set of accessions, viz., ICG 5827 (Virginia Runner), ICG 11457 (Virginia Runner), ICG 7000 (Virginia Bunch), and ICG 11322 (Virginia Bunch) of sub spp. hypogaea var. hypogaea and ICG 9809 (Spanish Bunch) of sub spp. fastigiata var. vulgaris that exhibited a fresh seed dormancy period ranging from 2 to 3 weeks. These identified accessions hold potential as donors in breeding programs that are designed to address the groundnut production needs in various cropping systems across different countries. The validated marker, particularly GMFSD1, demonstrated considerable potential for facilitating faster breeding of groundnut cultivars with the desired dormancy using marker-assisted selection. This research provides a foundation to expediting groundnut breeding programs and offers opportunities to mitigate pre-harvest sprouting, ultimately improving seed quality and productivity in groundnut-producing regions.

Process Design of Multifeed and Multiproduct Sugar Factories

Indonesia’s journey toward food self-sufficiency faces challenges with declining sugar production from seasonal sugarcane harvesting. To overcome this, alternative year-round and abundant sources like coconut sap and sorghum offer potential solutions. This study tackles the decreasing trend in sugar production through the optimization of a miniplant utilizing multifeed sources sugarcane, coconut sap, and sorghum to produce white crystal, brown sugar, and syrup. The objective is to ensure yearround plant operation. The process design focuses on maximizing profits, considering total sales and operational costs related to raw materials, water, and steam. Constraints are implemented to production capacities for sugarcane (15,000 kg/day), coconut sap (6,000 kg/day), and sorghum (9,000 kg/day). Maximizing the potential of alternative biomass materials involves a combined feed of coconut sap and sorghum raw material. The design process flow involves sugar production using only sugarcane feed for the first 4 months and, for the subsequent 8 months, transitioning to a combined feed of coconut sap and sorghum to create multiproduct sugar. From the design process achieved maximum profit of Rp7,096,618,000.00. This research provides valuable insights into diversifying sugar production, promoting sustainability and economic viability in Indonesian sugar industry.

Nutritional value and quality aspects of wheat produced and consumed in Albania

Wheat and its flour-processed foods constitute the staple food of the Albanians. Nutritional importance relates to its role as an essential source of microelements and its flexibility to be processed in a wide range (e.g., bread, pasta, pastry, baked products). Global wheat markets have become increasingly demanding concerning wheat quality indicators. The country has a tradition of wheat cultivation connected with politics in the past decades. The study has analyzed the wheat quality according to physicochemical indicators: protein, gluten, starch, moisture, and sedimentation index, by Near-infrared spectroscopy (NIRS). A non-destructive technique based on electromagnetic wave interactions of molecules in the analyzed matrix. Seventy-five wheat samples were collected from agricultural regions during the harvesting season 2022. Protein content varied in the interval 9.6-15.0 %, with an average of 12.7 %. The gluten content analyzed was 19.4-37.5%, with an average of 27.5%. Starch content varied in the interval 66.3 -71.5 %, with an average of 68.9%. The sedimentation index was measured in the interval 21.1-57.8 with an average value of 37.6. Finally, the moisture level varied at 9.8-12.5%, indicating no wheat sample exceeded the threshold max level of 14.5%, in accordance with national and EU food legislation.

Agricultural production and air pollution: An investigation on crop straw fires.

In numerous developing nations, the pervasive practice of crop residue incineration is a principal contributor to atmospheric contamination in agricultural operations. This study examines the repercussions of such biomass combustion on air quality during the autumnal harvest season, utilizing data acquired from satellite-based remote sensing of fire events and air pollution measurements. Employing wind direction information alongside difference-in-difference and fixed-effects methodologies, this investigation rectifies estimation inaccuracies stemming from the non-random distribution of combustion occurrences. The empirical findings reveal that agricultural residue burning precipitates an elevation in average PM2.5 and PM10 concentrations by approximately 27 and 22 μg/m3 during the autumnal incineration period, respectively. Furthermore, air pollution attributed to residue burning in prominent grain-producing regions exceeds the national average by approximately 40%. By integrating economic paradigms into agri-environmental inquiries, this study offers novel insights and substantiation of the environmental expenditures engendered by crop residue burning, juxtaposed with extant meteorological and ecological research findings.

The Images of Sacred Trees in Ancient Egyptian Fairy Tales

The paper examines the semantics of trees described in the ancient Egyptian fairy tales “Tale of Two Brothers” and in the “Story of Sinuhe”. The purpose of the study is to identify the semantics of trees in these fairy tales, their relationship with the religious ideas of the Egyptians and specifies of ideas about the calendar cycle displayed in these texts. The author traces literary parallels between the images of fairy-tale trees and the motifs of the “Book of the Dead”, which tells about the posthumous life of the soul of the deceased in the Netherworld. The study reveals that in the “Tale of Two Brothers”, the cedar and two persea trees are correlated with the Osiris and solar cults. The persea trees represent the rays of the sun, Osiris and the deceased as the blessed spirit Akh. The cedar inflorescence located at the top of the tree is also associated with the image of the sun. It was found that in this fairy tale, the description of tree life and the hero’s repeated birth reflect the change of calendar cycles from the flood season to the harvest season, from the period of visibility of celestial bodies and plants to the period of their invisibility. The sycamore, mentioned in the “Story of Sinuhe”, is the sacred tree of Hathor, Isis and Nut and appears as a symbol of the heaven with which these goddesses were associated.