Harvest Period Research Articles

Insights into the physiology, biochemistry and ecological significance of the red seaweed Tricleocarpa fragilis in the Andaman Sea

The present study focused on the physiological and biochemical aspects of Tricleocarpa fragilis, red seaweed belonging to the phylum Rhodophyta, along the South Andaman coast, with particular attention given to its symbiotic relationships with associated flora and fauna. The physicochemical parameters of the seawater at the sampling station, such as its temperature, pH, and salinity, were meticulously analyzed to determine the optimal harvesting period for T. fragilis. Seaweeds attach to rocks, dead corals, and shells in shallow areas exposed to moderate wave action because of its habitat preferences. Temporal variations in biomass production were estimated, revealing the highest peak in March, which was correlated with optimal seawater conditions, including a temperature of 34 ± 1.1 °C, a pH of 8 ± 0.1, and a salinity of 32 ± 0.8 psu. GC‒MS analysis revealed n-hexadecanoic acid as the dominant compound among the 36 peaks, with major bioactive compounds identified as fatty acids, diterpenes, phenolic compounds, and hydrocarbons. This research not only enhances our understanding of ecological dynamics but also provides valuable insights into the intricate biochemical processes of T. fragilis. The established antimicrobial potential and characterization of bioactive compounds from T. fragilis lay a foundation for possible applications in the pharmaceutical industry and other industries.

Recent and projected changes in global climate may increase nicotine absorption and the risk of green tobacco sickness

BackgroundDermal transfer of nicotine during tobacco harvest can cause green tobacco sickness (GTS), characterized by nausea, vomiting, headache and dizziness. Rainfall and high temperatures are etiological factors known to increase the prevalence of GTS. We analyzed recent and projected trends in these factors for major tobacco-growing regions to assess potential exacerbation in GTS occurrence.MethodsWe analyzed climate parameters, including recent trends (since the 1970s) in temperature and precipitation metrics during the tobacco harvest period for Southern Brazil; Yunnan Province, China; Andhra State, India; and North Carolina, USA. We applied Shared Socio-economic Pathways (SSPs) based scenarios for Tier 1 Scenario Model Intercomparison Project (ScenarioMIP) within the Coupled Model Intercomparison Project phase 6 (CMIP6), (SSPs of 1–2.6, 3–7.0 and 5–8.5 from 2020 to 2100). Established protocol for nicotine dermal patches and temperature were used as a proxy to estimate potential nicotine absorption.ResultsFor three locations, cumulative maximum temperatures during harvest and temperature extremes rose significantly since the 1970s as did cumulative rainfall during harvest. Projected maximum temperatures at SSP 3–7.0 and 5–8.5 projections through 2100 did increase for all locations. Estimates of nicotine skin absorption with rising temperature show significant increases for both recent changes in three locations, and for all locations for SSP projections of 3–7.0 and 5–8.5 from 2020 to 2100.ConclusionsThis study across multiple continents, highlights a potential link between recent and projected anthropogenic change and potential increases in GTS risk. Under SSP 5–8.5, nicotine absorption could increase by ~50% by the end of the century, which may have widespread impacts on the incidence of GTS, especially among younger tobacco workers.

Suitability of coconut bran and biochar as a composite substrate for lettuce cultivation in aquaponic systems

Growth substrates are essential for aquaponic systems and play an important role in vegetable growth and water quality. In this study, we explored an innovative combination of coconut bran and coconut shell biochar (CSB) as a composite growth substrate for lettuce cultivation in aquaponic systems. The study included the control (100 % coconut bran as the growth substrate) and treatment groups (T1–T5; containing 10 %, 20 %, 30 %, 40 %, and 50 % CSB as the growth substrate, respectively). The substrate properties; lettuce growth performance; and soil enzyme activity, nitrogen content, and abundance of microbial communities in the substrate were analyzed to determine the optimal substrate. Our findings indicated that CSB incorporation significantly altered the properties of the substrate, resulting in increased dry and bulk densities, pH, and water-holding capacity, and decreased electrical conductivity, water-absorption capacity, and porosity. Furthermore, the fresh weight of lettuce was notably increased in the treatment groups. The activities of fluorescein diacetate hydrolase, urease, nitrate reductase, and hydroxylamine reductase initially increased and further decreased, reaching the maximum in the T3 group. Conversely, the activity of nitrite reductase and contents of available nitrogen, nitrate-nitrogen, and ammonium-nitrogen in the substrates initially decreased and further increased, with the minimum values observed in the T3 group. The microbial sequencing results indicated that CSB incorporation significantly increased the microbial diversity and relative abundance of microorganisms associated with nitrogen transformation. Moreover, 30 % CSB incorporation exhibited the greatest effect on lettuce growth, with a 34.5 % and 31.6 % increase in fresh weight compared to the control during the growth and harvest periods, respectively. This study indicated the enormous potential of biochar in the research and development of green technologies for substrate amendment in aquaponic systems.

Impact of soil and water quality on the sustainable management of mangrove-compatible brackishwater aquaculture practices in Indonesia

The widespread degradation of mangroves has been attributed to their conversion into other land uses and purposes, most notably their destruction to construct extensive brackishwater aquaculture ponds. This study investigated the relationship between environmental factors and management alternatives for an integrated mangrove-aquaculture system in Derawan Island District, Berau Regency, East Kalimantan Province, Indonesia. The study collected a total of 56 soil and water samples from around 50 ha to assess environmental limiting factors for integrated mangrove-brackishwater aquaculture management. The measured soil quality variables included field pH (pHF), pH of hydrogen peroxide extract (pHFOX), peroxide oxidizable sulfur (SPOS), pyrite (FeS2), organic matter (OM), nitrogen-total (N-TOT), iron (Fe), and aluminum (Al). Water quality variables included salinity, temperature, pH, dissolved oxygen (DO), different forms of nitrogen (NH3–ammonia, NO3–nitrate, and NO2–nitrite), phosphate (PO4), Fe, and total organic matter (TOM). The study employed a hydrological restoration approach to suggest a mangrove-friendly aquaculture pond design and layout. The study generally showed that Acid Sulfate Soils (ASS) significantly restricted the existing mixed-mangrove aquaculture pond management by negatively impacting water quality. This study highlights that, given the characteristics of ASS-affected aquaculture ponds, reducing pond size for shrimp culture (mangrove-to-pond ratio of 80% and 20%) will simplify managing ASS environmental limiting factors through cost-effective remediation techniques and a Balanced Fertilization Strategy (BFS). The reduced shrimp pond size will also provide direct opportunities for mangrove restoration and allow effective hydrological restoration. The economic benefit of the proposed pond design and management model focuses on diversifying production units which include shrimp aquaculture ponds, milkfish or tilapia culture in the peripheral canals of the mangrove compartment, juvenile shrimp production, and periodic harvest from the primary pond canal. The study findings are particularly applicable to ponds that have already been built in ASS to improve productivity in addition to supporting the mangrove rehabilitation program. Converting mangrove and ASS-affected land is not advisable for constructing new aquaculture ponds.

Mechanism of folium polygoni cuspidati in liver-yang-hyperactivity hypertension based on network pharmacology, molecular docking and experimental pharmacological validation

Ethnopharmacological relevanceAt present,the global form of hypertension is severe,and liver-yang-hyperactivity hypertension（GYSK hypertension）is the most common type of hypertension.Folium Polygoni Cuspidati（HZY）are mainly used in Yunnan, China,to treat dizziness, headache,and hypertension caused by GYSK,and the content of the active ingredients of HZY and its efficacy varies in different periods.However,the mechanism of action and the effect of harvesting period are not clear. Aim of the studyThe purpose of this research was to investigate the effect of HZY in April and September on GYSK hypertension. Materials and methodsThe model of GYSK hypertension was established with aconite decoction and L-NAME,and the blood pressure,the symptoms of GYSK,the cardiac index and the pathological changes of aorta were observed,to study the effect of HZY in April and September on GYSK hypertension.The chemical composition of HZY was analysed by UPLC-QTOF-MS and its mechanism for the treatment of GYSK hypertension was predicted by network pharmacological studies and experimentally validated using serum metabolomics and Western blot techniques. ResultsApril HZY and September HZY can significantly improve the GYSK symptoms of rats, inhibit the RAAS system, improve oxidative stress and regulate blood lipids so as to play a blood pressure lowering efficacy and have a protective effect on the vascular endothelial cells.UPLC-QTOF-MS yielded 29 components of HZY,and network pharmacology predicted that its mechanism may be related to Lipid and atherosclerosis,PI3K/Akt signaling pathway, MAPK signaling pathway and TNF signaling pathway,etc.Western Blot validation showed that HZY activated PI3K,p-Akt protein expression and inhibited p-erk,p-p38 and TNF-α protein expression.Serum metabolomics suggested that April HZY exerts its efficacy mainly by regulating amino acid metabolism and September HZY mainly by regulating lipid metabolism. ConclusionsIn GYSK hypertensive rats treated for three weeks, both April HZY and September HZY could have antihypertensive effects,but the mechanisms of action were different and similar, both could regulate metabolite disorders of sugars, lipids,amino acids and peptides,and regulate blood pressure through the PI3K/Akt-eNOS and MAPK signalling pathways, with the difference that April HZY had stronger regulatory effects on the metabolism of amino acids.metabolism.

Melon Grafting Effects on Plant Performance and Yield in the High Desert

Farmers in the high desert are challenged by a short growing season and slow crop establishment of warm-season vegetables. Yet an increasing demand for local produce in nearby urban areas presents an opportunity to diversify farms while adapting to climate uncertainty. Vegetable rootstocks can confer advantages under biotic and abiotic stress conditions, but information on which and how melon rootstocks can improve management does not exist for high desert and short-season regions. Commercial, squash-hybrid rootstocks (i.e., Cucurbita maxima × C. moschata) were grafted with a common scion (Cucumis melo cv. Sarah’s choice). Nine rootstocks in 2021 and four selected rootstocks in 2022 were evaluated in four field trials (two per year) in northern Nevada at two distinct locations. Melon grafting did not consistently increase crop performance in the high desert, and it was influenced by location and year. Throughout the initial half of the harvesting period, grafted plants tended to produce more melons, irrespective of location or year, offering a potential appeal for melon growers operating in shorter growing seasons. However, a slight reduction in fruit quality (i.e., °Brix) was observed in some grafted plants compared with the ungrafted control. The benefits of grafting melons onto squash hybrids in high desert conditions remain uncertain and may depend on microenvironment and farming practices that affect crop establishment, such as mulching effects on soil temperature.

Parameter genetik padi beras merah (Oryza sativa L.) yang ditanam pada lahan kering dengan sistem gogo

Crossing of F2BC4P19-36 promising line with IPB 3S variety resulted in red rice strains. These strains were selected until obtaining the F5 generation. The research aimed to determine the genetic diversity, heritability values, and genotypic correlation coefficients among quantitative traits for yield of red rice strains in dryland with a continuous cropping system. The study was conducted from May to September 2023 in Tampak Siring Village, Batukliang, Central Lombok Regency, West Nusa Tenggara. It employed a Randomized Complete Block Design (RCBD) with 14 genotypes, replicated three times, totaling 42 treatments. Data analysis was performed using Analysis of Variance (ANOVA) at a 5% significance level. Genetic diversity, assessed broadly, was indicated by traits such as the number of unproductive tillers, number of filled grains, and number of unfilled grains; moderately by traits such as number of productive tillers, total tillers, 100-grain weight, and grain weight per panicle; and narrowly by traits such as plant height, panicle length, flowering duration, and harvesting period. Heritability values were high for yield, moderate for total tillers, number of filled and unfilled grains, 100-grain weight, and flowering duration, and low for traits like plant height, number of productive and unproductive tillers, panicle length, grain weight per panicle, and harvesting period. Genotypic correlation coefficients showed positive associations with yield for traits such as panicle length, grain weight per panicle, and flowering duration, whereas negative correlations were observed with yield for the number of unproductive tillers. Genetic diversity, heritability values, and correlation coefficients serve as determinants for selection criteria

3D positioning of Camellia oleifera fruit-grabbing points for robotic harvesting

Camellia oleifera is an oilseed crop with high economic value. The short optimum harvest period and high labour costs of C. oleifera harvesting have prompted research on intelligent robotic harvesting. This study focused on the determination of grabbing points for the robotic harvesting of C. oleifera fruits, providing a basis for the decision making of the fruit-picking robot. A relatively simple 2D convolutional neural network (CNN) and stereoscopic vision replaced the complex 3D CNN to realise the 3D positioning of the fruit. Apple datasets were used for the pretraining of the model and knowledge transfer, which shared a certain degree of similarity to C. oleifera fruit. In addition, a fully automatic coordinate conversion method has been proposed to transform the fruit position information in the image into its 3D position in the robot coordinate system. Results showed that the You Only Look Once (YOLO)v8x model trained using 1012 annotated samples achieved the highest performance for fruit detection, with mAP50 of 0.96 on the testing dataset. With knowledge transfer based on the apple datasets, YOLOv8x using few-shot learning realised a testing mAP50 of 0.95, reducing manual annotation. Moreover, the error in the 3D coordinate calculation was lower than 2.1 cm on the three axes. The proposed method provides the 3D coordinates of the grabbing point for the target fruit in the robot coordinate system, which can be transferred directly to the robot control system to execute fruit-picking actions. This dataset was published online to reproduce the results of this study.

Wound Healing Potential of a Novel Sedum Species: S. album Murales.

Natural wound healing products are in increased demand. The potential for unexplored Sedum species in wound healing was discovered based on benefits of the genus reported in traditional medicine. The objectives were to screen ten Sedum species for wound healing, to ascertain the optimal harvest period using the five best, and finally to investigate effects of extraction protocols on wound healing using the most promising species. Different protocols were used to extract leaf polyphenol and mucilage content. Wound healing was assessed from L929 fibroblast migration. April was the optimal harvest month for wound healing efficacy, whereas the highest polyphenol content and antioxidant activity were evident in September and November. S. album Murales (ALBU), the best candidate, was then compared with S. telephium (TELE), which is well recognized in skin care. The mucilage-containing aqueous extract of ALBU was shown for the first time to induce the highest fibroblast migration after 24 h, not evident in TELE. Moreover, functional constituents contained within the absolute acetone- and isopropanol-containing polyphenol pools from ALBU induced significantly higher migration compared to TELE. A prototype cream, containing the water- and solvent-extracted bioactive compounds was effective at inducing fibroblast migration at 24 h in ALBU. The potential of ALBU in wound healing was evidenced and warrants further investigation.

Management Of Pest And Disease Control In Sallots (Allium Ascalonicum L) Farm Activities Sub-District Sungai Ulin Banjarbaru City

This research aims to identify management pest and disease control and cost incurred of shallot (Allium ascalonicum L) farmer in Banjarbaru City, This research activity was carried out began on December-January 2024 with research sampling method is case study, data analysis with management implementation and financial analysis. Result of this research Pest control is very important for farmers to reduce the risk of crop failure due to pests, the purpose of pest and disease control management is not to eliminate pests altogether but to reduce the risk of attacks due to pests and diseases in shallot plants. Farmers need to apply management functions in controlling pests and diseases, namely the functions of planning, organizing, implementing and supervising. The application of management function in Bawang Mas Horti Langgeng Farmer Group has not been fully carried out properly and Average total cost incurred by each farmer is Rp.640,720. The average cost of medicines per one harvest period is 4 months amounting to Rp.277,800. The average depreciation cost of tools amounted to Rp.41,670.

Combined metabolomics and transcriptomics reveal the secondary metabolite networks in different growth stages of Bletilla striata (Thunb.) Reichb.f.

Bletilla striata (Thunb.) Reichb.f. (B. striata) is a traditional Chinese medicinal herb. B. striata polysaccharides (BSP), stilbenes and 2-isobutyl malic acid glucosoxy-benzyl ester compounds are the main active ingredients in B. striata. However, there is limited report on the changes of medicinal components and their biosynthesis regulation mechanisms in the tubers of B. striata at different stages. The tubers of B. striata were collected during the flowering period, fruiting period, and harvest period to determine the total polysaccharide content using the phenol sulfuric acid method. The changes in secondary metabolites in the tubers at these stages were analyzed by ultra performance liquid chromatography tandem mass spectrometry (UPLC-MS), and transcriptomics was conducted for further exploration of their biosynthetic pathways. The BSP content gradually increases from the flowering period to the fruiting period as the tubers develop, reaching its peak, but subsequently decreases at harvest time, which may be associated with the germination of B. striata buds in later stage. A total of 294 compounds were identified in this study. Among them, a majority of the compounds, such as 2-isobutyl malate gluconoxy-benzyl ester, exhibited high content during the fruit stage, while stilbenes like coelonin, 3'-O-methylbatatasin III, and blestriarene A accumulated during the harvesting period. The transcriptome data also revealed a substantial number of differentially expressed genes at various stages, providing a partial explanation for the complex changes in metabolites. We observed a correspondence between the expression pattern of GDP-Man biosynthesis-related enzyme genes and cumulative changes in BSP. And identified a positive correlation between 9 transcription factors and genes associated with polysaccharide biosynthesis, while 5 transcription factors were positively correlated with accumulation of 2-isobutyl malate gluconoxy-benzyl ester compounds and 5 transcription factors exhibited negative correlated with stilbene accumulation. It is imperative to determine the appropriate harvesting period based on the specific requirements of different active ingredients and the accumulation patterns of their metabolites. Considering the involvement of multiple transcription factors in the biosynthesis and accumulation of its active ingredients, a comprehensive investigation into the specific regulatory mechanisms that facilitate high-quality cultivation of B. striata is imperative.

Assessment of Genetic Variability in Okra (Abelmoschus esculentus L. Moench) Genotypes

The present investigation was carried out at New Orchard, Main Agricultural Research Station, UAS, Raichur, during late Kharif 2021-22 using thirty-one genotypes and laid out in Randomized Block Design (RBD) with three replications. High magnitude GCV and PCV were reported for the traits viz., fruit yield per hectare, fruit yield per plant, number of fruits per plant, plant height, leaf area per plant, number of ridges on fruit surface, fruit girth and fibre content indicates that maximum variability exists in these traits. The traits viz., number of nodes per plant, fruit length, ten fruits weight, shelf-life, stem girth, harvesting period and first flowering node recorded the medium GCV and PCV values. While, low GCV and PCV values were observed for the characters viz., number of leaves per plant, chlorophyll content, days to 50 per cent flowering and days to first flowering showing little variability for these characters. High heritability accompanied by high genetic advance over per cent mean was observed for number of ridges on fruit surface, number of fruits per plant, fruit yield per plant, fruit yield per hectare, fruit girth, leaf area per plant, plant height, number of nodes per plant, fruit length, fibre content, stem girth and ten fruits weight which indicates additive gene effects and selection based on these characters may be effective. Hence, characters showing high to moderate values of PCV, GCV and high estimate of heritability and genetic advance as per cent mean were considered as most important characters and selection of these traits will be more effective in improvement of fruit yield per plant.

Lure specificity, phenology, and damage caused by Epiphyas moths (Lepidoptera: Tortricidae) in Western Australian apple orchards.

Multiple Epiphyas species inhabit southwestern Western Australia, including Light Brown Apple Moth (LBAM) Epiphyas postvittana (Walker) (Lepidoptera: Tortricidae), a globally significant, polyphagous pest. This study evaluated the efficacy and specificity of lures designed for 3 Epiphyas species: E. postvittana, Epiphyas pulla (Turner), and the undescribed Epiphyas sp. (1) (Common). Additionally, the study sought to determine the presence and distribution of Epiphyas species in 3 significant apple-growing localities. Trapping, together with partial sequencing of the mitochondrial COI gene, found LBAM to be restricted to the Perth Hills and E. pulla, to apple orchards near Manjimup and Pemberton. This geographic disjunction remains unexplained. Epiphyas sp. (1) was not recorded despite using a specifically designed lure. The E. pulla and LBAM traps demonstrated superior efficacy in capturing their target species, while the catch in Epiphyas sp. (1) traps did not significantly differ between the 2. Both E. pulla and LBAM exhibited peak abundance from late spring to the end of summer (October-February), with variations in timing and peak catch of male moths across species, locations, and years. Surveys conducted in April during the harvest period (February-May), when moth traps caught an average of 1-1.8 moths/trap/week, found no Epiphyas larvae or damage on 140,400 mature apples or on 26,000 leaves. While E. pulla and LBAM traps effectively monitor their target moths, genetic identification of trap catch would be necessary if they co-occurred. Encouragingly, the results indicate that both species become relatively rare as harvest season approaches, and neither inflicts significant damage to mature apples under existing management.

Viability and agronomic efficiency of using Bacillus licheniformis to complement nitrogen fertilization and pre-treatment and storage of mayze seeds

The objective of the study was to evaluate the agronomic efficiency and viability of using the bacteria Bacillus licheniformis to complement nitrogen fertilization in top dressing and in the pre-treatment and storage of maze seeds. The study was conducted in the municipalities of Candói- PR and Lapa-PR (phase 1) and in the municipalities of Serranópolis do Iguaçu–PR and São Miguel do Iguaçu (phase 2). Inoculation with Bacillus licheniformis presents agronomic efficiency similar to nitrogen control and inoculation with Azospirillum brasilense during the harvest period. Inoculation with Bacillus licheniformis 90 days before sowing is capable of reducing the application of N-fertilizer by 25% without compromising the yield of maze grains in the second harvest period.

Harvest of transboundary grey wolves from Yellowstone National Park is largely additive

Abstract Large carnivores are globally threatened due to habitat fragmentation and loss, prey depletion and human exploitation. Human exploitation includes both legal and illegal hunting and trapping. Protected areas can create refugia from hunting and trapping; however, hunting can still threaten wide‐ranging large carnivores when they leave these areas. Large carnivore reintroductions to protected areas are often motivated to restore ecological processes, including wolf reintroduction to Yellowstone National Park (YNP). Determining if harvest is compensatory or additive is essential for informed conservation strategies, as it influences the overall impact on wolf populations and their ecosystems. If harvest was compensatory, then increasing harvest pressure outside YNP should not decrease overall survival for transboundary wolves. Alternatively, if increasing harvest was additive, then increasing harvest pressure outside YNP should decrease overall survival for transboundary wolves. We tested the effects of variable harvest pressure following delisting on the survival of YNP grey wolves (Canis lupus) from 1995 to 2022. We defined three harvest levels: no harvest, harvest with limited quotas and unlimited harvest. We used Cox‐proportional hazards models and cumulative incidence functions to estimate survival rates, factors affecting survival and cause‐specific mortality between these three harvest periods to test predictions of the additive mortality hypothesis. Most harvested wolves that primarily lived in YNP were killed adjacent to the park border. Cox‐proportional hazards models revealed that mortality was highest during years of unlimited harvest during winter outside YNP. Cause‐specific mortality analyses showed that natural mortality from other wolves and harvest were the two leading causes of death, but that harvest mortality had additive effects on wolf mortality. Wolf survival decreased with increased harvest mortality, while natural mortality remained relatively unchanged. Synthesis and applications. High rates of additive harvest mortality of wolves could negatively impact wolf survival in YNP. Harvest mortality of transboundary wolves is additive possibly due to source‐sink dynamics of uneven spatial susceptibility of wolves to harvest mortality across protected area borders, as well as effects of harvest on complex social dynamics of wolves in YNP. Transboundary management of large carnivores is challenging, yet cooperation between agencies is vital for wolf management in and around YNP. Our results support the use of small quota zones surrounding protected areas, that minimize transboundary mortality impacts on large carnivores living primarily inside protected areas.

Evaluation of Pre-Harvest Nutrient Composition and Functional Active Substances in Various Lotus Roots.

This study investigated the impact of variety and harvest time on the visual appearance, nutritional quality, and functional active substances of six lotus root cultivars: "Xinsanwu", "Wuzhi No. 2", "Baiyuzhan", "Huaqilian", "Elian No. 6", and "Elian No. 5". Samples were collected monthly from December 2023 to April 2024. A nutrient analysis revealed a decrease in the water content with a delayed harvest. The total soluble solids and soluble sugar content peaked towards the end and middle-to-late harvest periods, respectively. Starch levels initially increased before declining, while the soluble protein exhibited a triphasic trend with an initial rise, a dip, and a final increase. The vitamin C (Vc) content varied across cultivars. Functional active substances displayed dynamic changes. The total phenolics initially decreased, then increased, before ultimately declining again. The total flavonoid content varied by both cultivar and harvest time. The phenolic acid and flavonoid content mirrored the trends observed for total phenolics and total flavonoids. Gastrodin was the most abundant non-flavonoid compound across all varieties. "Wuzhi No. 2" and "Baiyuzhan" displayed higher levels of functional active substances and starch, while the Elian series and "Xinsanwu" cultivar exhibited a greater content of Vc, soluble sugar, and soluble protein. Specific harvest periods yielded optimal results: "Wuzhi No. 2" (H1 and H5), "Huaqilian" (H2), and "Baiyuzhan" (H3 and H4) demonstrated a high nutrient and functional active substance content. Overall, the lotus roots harvested in period H4 achieved the highest score. Overall, this study provides the foothold for the rapid identification of superior lotus root cultivars and the valorization of lotus root by-products via advanced processing methods. Additionally, it offers valuable insights for market participants and consumers to select optimal varieties and harvest times based on their specific needs.

The Influence of the Distribution Law and Uniformity of a Threshed Mixture with the Working Parameters of a Soybean Threshing Device

Soybean plants cultivated using mulched drip irrigation planting technology have the following characteristics during the harvest period: green stems and leaves, and a high straw/grain ratio. Moreover, the threshing device of a soybean combine harvester is difficult to adapt to, resulting in an increase in the accumulation and unevenness of the threshed mixture. This leads to an increase in impurity content and the loss rate. We conducted a single-factor experiment on a self-developed longitudinal/axial-flow soybean threshing and separation test bench, employing drum speed, feeding rate, and threshing clearance as experimental factors. The influence of the soybean threshing and separation device’s working parameters on the distribution and uniformity of the threshed mixture in the axial and radial directions of the drum was explored through experiments. The results showed that the mass of the threshed mixture and soybean seeds showed a trend of first rapidly increasing and then slowly decreasing in the axial direction of the drum. Additionally, the mass showed a distribution feature of large values on both sides and small values in the middle in the radial direction. A lower drum speed, greater threshing clearance, and a smaller feeding rate make the radial distribution of a threshed mixture more uniform. Based on the combination of the crushing rate and unthreshed rate, the optimal working parameter combination was determined to be as follows: a drum speed of 500 r/min, a feeding rate of 6 kg/s, and a threshing clearance of 25 mm. The findings of this research offer valuable insights for the structural optimization and design enhancement of threshing and cleaning mechanisms within soybean combine harvesters.

AN ALGORITHM FOR CALCULATING THE STEREO FACTOR

Information on wood volume is essential in forestry activities, especially in the sale of wood products. However, measuring solid volume during a harvest period is challenging. The viable parameter for measurement is stereo volume, which refers to the stacked quantity of wood, including the empty spaces between the logs. However, the stereo volume–cubic volume (solid) ratio, which is influenced by the taper, uniformity, and size of the trees, needs to be obtained. In most cases, if a field tester does not choose a reference value, the result is less than reliable. In this work, an algorithm is presented that estimates the stereo–cubic volume relationship from forest inventory and tree stacking data. It was implemented in Visual Basic for Applications (VBA) to simulate virtual log stacking. Its accuracy was evaluated in three field trials: the first and second in a eucalyptus stand and the third in a bamboo stand. Implementing the three calculation methods, the errors ranged from -12.34 to 8.33% for the cubing factor and from -8.94 to 15.64% for the stacking factor, which was the first degree of reliability for a parameter that requires a high level of accuracy because of the impact on wood buying and selling. The algorithm is easy to use but needs further validation in forest harvesting areas.

Convolutional neural networks to assess bergamot essential oil content in the field from smartphone images

The essential oil (EO) extracted from bergamot peel (Citrus bergamia, Risso et Poiteau) is appreciated in perfumery and gastronomy. Notably, 90 % of the bergamot EO production is concentrated in the Province of Reggio Calabria (Southern Italy) under a protected designation of origin (PDO). The early estimation of EO content in fruits is fundamental to help farmers in their decision at harvesting period. The application of advanced modelling techniques based on artificial intelligence and digital device technology can contribute to this goal. This study proposes a method to estimate the EO content of fruits in the field using classification and regression models based on a deep learning approach in two cultivars: cv. “Fantastico” and cv. “Femminello”. The first step was to capture images of the fruit in the Red, Green, and Blue colours (RGB) using a mid-range smartphone camera and a portable inspection chamber designed and developed for this study. The acquisition of the images was carried out in the field. The fruits were collected and transported to the laboratory, where the EO was extracted using steam hydrodistillation. Custom-built convolutional neural networks (CNN) and three transfer learning models (VGG-16, VGG-19, and Xception architectures) were trained and applied for classification (among different discrete levels of oil content) and regression (to predict the EO content). The classification results showed an accuracy of 0.795 and 0.797 on the test samples of the two cultivars separately, while the best regression model achieved a minimum mean squared error of 0.12 and 0.04 for each cultivar, respectively. The results showed the effectiveness of the approach tested and how modelling each variety independently can lead to better performance for the CNNs tested.

Additional organic and bacterium fertilizer input regulated soybean root architecture and dry matter distribution for a sustainable yield in the semi-arid Region of China.

In the dryland area of the Loess Plateau in northwest China, long-term excessive fertilization has led to soil compaction and nutrient loss, which in turn limits crop yield and soil productivity. To address this issue, we conducted experiments using environmentally friendly organic fertilizer and bacterium fertilizer. Our goal was to investigate the effects of additional organic and bacterium fertilizer inputs on soil water migration, crop root architecture, and yield formation. We implemented six different fertilizer strategies, namely: Nm (mulching, N 30 kg/ha), NPK1m (mulching, N 60 kg/ha; P 30 kg/ha; K 30 kg/ha), NPK2m (mulching, N 90 kg/ha; P 45 kg/ha; K 30 kg/ha), NPKOm (mulching, N 90 kg/ha; P 45 kg/ha; K 30 kg/ha; organic fertilizer 2 t/ha), NPKBm (mulching, N 60 kg/ha; P 30 kg/ha; K 30 kg/ha; bacterium fertilizer 10 kg/ha), and N (N 30 kg/ha; no mulching). The results revealed that the addition of bacterium fertilizer (NPKBm) had a positive impact on soybean root system development. Compared with the other treatments, it significantly increased the total root length, total root surface area, and total root length density by 25.96% ~ 94.89%, -19.63% ~ 36.28%, and 9.36% ~ 28.84%, respectively. Furthermore, NPKBm enhanced soil water consumption. In 2018, water storage during the flowering and podding periods decreased by 12.63% and 19.65%, respectively, while water consumption increased by 0.97% compared to Nm. In 2019, the flowering and harvest periods decreased by 23.49% and 11.51%, respectively, while water consumption increased by 0.65%. Ultimately, NPKBm achieved high grain yield and significantly increased water use efficiency (WUE), surpassing other treatments by 76.79% ~ 78.97% and 71.22% ~ 73.76%, respectively. Subsequently, NPK1m also exhibited significant increases in yield and WUE, with improvements of 35.58% ~ 39.27% and 35.26% ~ 38.16%, respectively. The use of bacterium fertilizer has a profound impact on soybean root architecture, leading to stable and sustainable grain yield production.