Harvesting Methods Research Articles

A novel passive flow control technique using circular arcs coupled with downstream splitters

The current study presents a novel piezoelectric design that converts vortex-induced vibrations caused by flow across a circular cylinder. This design can be implemented as a passive control method for energy harvesting. It encompasses the novelty of employing circular arc plates around a circular cylinder integrated with flexible splitters downstream. To assess the merits of the proposed design, a comprehensive parametric study for flexible splitters is conducted to specify the optimum layout of piezoelectric harvesters. The analysis is carried out at a low Reynolds number, , at which accurate non-intrusive experimental assessment of flow structure is difficult. The results indicate that the drag can be halved by adding circular arc plates to the cylinder. Moreover, it is demonstrated that the plate displacement increases by 18.29 folds for dual splitters compared with a single plate. By adding the arc plates, a further increase of 3.97 folds is obtained. Following this, the maximum strain with the inclusion of arc plates is 170.17% higher than the cylinder without arc plates (bare cylinder) for dual flexible splitters downstream, enhancing the energy harvesting performance remarkably. Finally, using the proposed design, the generated electrical power figures out at at 77.7% conversion efficiency.

Revolutionizing Palm Dates Harvesting with Multirotor Flying Vehicles

This study addresses the challenges of traditional date palm harvesting, which is often labor-intensive and hazardous, by introducing an innovative solution utilizing multirotor flying vehicles (MRFVs). Unlike conventional methods such as hydraulic lifts and ground-based robotic manipulators, the proposed system integrates a quadrotor equipped with a winch and a suspended robotic arm with a precision saw. Controlled remotely via a mobile application, the quadrotor navigates to targeted branches on the date palm tree, where the robotic arm, guided by live video feedback from integrated cameras, accurately severs the branches. Extensive testing in a controlled environment demonstrates the system’s potential to significantly improve harvesting efficiency, safety, and cost-effectiveness. This approach offers a promising alternative to traditional harvesting methods, providing a scalable solution for date palm cultivation, particularly in regions with large-scale plantations. This work marks a significant advancement in the field of agricultural automation, offering a safer, more efficient method for harvesting date palms and contributing to the growing body of knowledge in automated farming technologies.

Perception of Farmers about Impact of Climate Change on Agriculture in Uttarakhand, India

The development process is being threatened by climate change, which is also negatively affecting the Indian economy in a number of areas, most notably the agriculture sector. Planting, transplanting, weeding, thinning, harvesting, processing, selling, winnowing, storing, kitchen gardening, and other methods are some of the crop production techniques that farmers use. Unpredictable, and chaotic climate change is threatening agricultural productivity and the stability of rural communities' livelihoods. Farmers that are aware of these disruptive variables may be able to lessen the detrimental effects of climate change on agriculture. This study aimed to evaluate farmers' perceptions regarding the impacts of climate change on agriculture within the Almora district of Uttarakhand, India. The study was carried out in the Almora district of Uttarakhand state. Purposive sampling technique and Random sampling was used to select the study area and samples. Total sample size was 120. Data on perception of farmers about impact of climate change reveals that 63 percent of respondents reported a decrease in overall food production. Results on change in availability of water for irrigation revealed that there was no change as reported by 43.33 percent of respondents in Almora district. Availability of drinking water decreased in Almora (54 %). The frequency of forest fire was reported to be increased as reported by respondents (65 %). When we talk about crop diversity and climate change, it was found that crop diversity decreases as reported by majority of respondents (82%) in Almora showing that crop rotation and other practices were not followed properly. The wild animal attack to the crop was increased in present time and causes serious damage to the crop. To effectively address these difficulties, policy measures and guidelines can be designed with more insight if location-specific farmers' perceptions and adaptive behaviors are understood.

Rainwater harvesting technologies in arid plains of Argentina: small local strategies vs. large centralized projects

Access to water has been and remains one of humanity’s greatest challenges. Especially in arid plains exposed to significant climatic fluctuations and future global change trends. In the past and present, local communities of the arid plains of central-western Argentina (i.e., Guanacache Lagoons, Cuyo region) have developed multiple strategies to manage water supply problems. The aims of this study are: i) to characterize the different water harvesting technologies (pre-Hispanic and modern) used, and ii) to compare the small local strategies of water harvesting (bottom-up solutions) with the large centralized projects (top-down solutions). On the one hand, we show the transformations of these technologies over time, and the challenges faced by inhabitants in the context of climate change trends. On the other hand, we analyze the role of the state through hydraulic policies and projects implemented by the provincial states over the last two centuries and how this impacted the study area. This review is based on a historical and archaeological bibliography, and recent publications about the region, including articles based on our ethnographic fieldwork. Our results demonstrate the valuable experience accumulated by local populations in water harvesting methods, particularly in areas where groundwater is deep and saline, and shows the adaptability of these technologies in contexts of increasing scarcity. We considered that local indigenous knowledge can largely contribute to the sustainable management of water resources. This study might be useful for decision-makers and water managers in drylands around the world to find and equitable approach that combines technical advances with local knowledge.

Assessment of dew harvesting as a sustainable water source and air quality indicator: a case study of Dhanbad, Jharkhand, India

ABSTRACT Dew formation takes place when atmospheric water vapor condenses on the surface which cools down due to radiation deficit. As it is a local phenomenon, its study gives information about the pollutants present in the atmosphere. Also, since dew formation is a natural phenomenon, and involves passive cooling, this can be a potential method for atmospheric water harvesting. The main intention of this present research work was the collection of dew samples and their analysis for yield and chemical composition. Dew samples were collected on a self-fabricated dew collection set up during the winter season. In total 30 dew samples were collected and analyzed for ionic constituents. The results were then compared to those of rain samples. The pH of dew was found to be in the range of 7-8.7, showing the neutral to alkaline nature of dew. Ionic compositions were higher in dew than in rain. While sulfate largely contributed to the ion composition of dew, nitrate was the least contributing ion. The average concentration for sulfate and nitrate in dew were found to be 0.55 and 0.03 meq/L, respectively. The average yield of dew was found to be 0.13L/m2. This yield value from the simplest of collection set-up ensures that dew can be considered as the potential water source with advanced condensing material and passive/active cooling in arid and semi-arid regions.

Low-resolution phase shifter-based hybrid precoding for mmWave massive MIMO

As the demand for high-capacity and energy-efficient wireless communications grows, the exploration of cost-effective and power-optimized hybrid digital-analog beamforming techniques for millimeter-wave massive MIMO systems has gained substantial traction. Adopting low-resolution phase shifters offers a more practical solution in terms of reducing power consumption and implementation costs. We investigate hybrid beamforming strategies for mmWave massive MIMO systems that employ low-resolution phase shifters, with a specific focus on designing and optimizing the analog beamforming component. To exploit the full potential of analog phase shifter network (APSN) in mmWave massive MIMO system while maintaining low-power consumption, we propose a two-layer APSN with low-resolution PSs to replace the conventional single-layer APSN with high-resolution PSs. Under the constraints imposed by the two-layer APSN hardware architecture, we propose a two-level codebook structure and an adaptive-weighted cross-entropy optimization algorithm that offers superior performance while substantially reducing the computational burden compared to the conventional cross-entropy optimization algorithm. We further develop two alternative schemes through the maximal gain harvest method to reduce complexity. We also investigate the case that only one steering vector is shared in the inner beamformer and present two low-complexity beamforming algorithms. Through simulations, the proposed two-layer APSN structure and the proposed algorithms have been shown to outperform existing methods, with notable effectiveness in scenarios where low-resolution phase shifters are utilized.

A brief harvesting-freezing delay significantly alters the kidney metabolome and leads to false positive and negative results.

Abnormalities in distinct metabolic pathways have been associated with the pathogenesis and progression of many forms of kidney disease. Metabolomics analyses can be used to determine organ-specific metabolic fingerprints and, ideally, should represent the metabolic state of the organ at the exact moment the sample is harvested. However, conventional harvesting methods depend on posteuthanasia tissue harvest, which results in ischemia conditions and metabolome changes that could potentially introduce artifacts into the final studies. We recently optimized a modified clamp-freezing technique for rodent kidney harvesting and freezing, significantly reducing ischemia and freezing times and granting a closer snapshot of in vivo metabolism. In this study, we characterized and compared the metabolome of kidneys harvested using our modified approach versus traditional techniques to determine which metabolites are preferentially affected by a brief lapse of ischemia and freezing delay and which are more stable. We used Sprague-Dawley rats as a model of wild-type (WT) kidneys and PCK [polycystic kidney disease (PKD)] rats as a model of chronic kidney disease kidneys. Finally, we compared the metabolic profile of clamp-frozen and delayed WT and PKD kidneys to determine which metabolic changes are most likely observed in vivo in PKD and which could be subjected to false positive or negative results. Our data indicate that a short harvesting-freezing delay is sufficient to impart profound metabolic changes in WT and PKD kidneys, leading to false positive and negative differences when comparing these genotypes. In addition, we identified a group of metabolites that were more stable. Interestingly, while the delay had a similar effect between WT and PKD, there were notable differences. The data obtained indicate that the quick clamp-freezing technique for kidney metabolomics provides a more accurate interpretation of the in vivo metabolic changes associated with the disease state. NEW & NOTEWORTHY Our study shows that a brief harvesting-freezing delay associated with organ collection and freezing can significantly alter the kidney metabolic profile of both male and female wild-type and a genetic model of chronic kidney disease. Importantly, given that the effect of this delay differs among genotypes, it is not safe to assume that equally delaying harvesting-freezing in wild-type and polycystic kidney disease kidneys adequately controls this effect, ultimately leading to false positive and negative results among different renal diseases.

Forest biomass recovery twenty-four years after conventional and reduced-impact logging in Eastern Amazon

Given the mounting global concerns about mitigating climate change and curbing greenhouse gas emissions, it becomes increasingly crucial to comprehend the effects of logging techniques on biomass dynamics in tropical forests. This understanding is essential for fostering greater carbon retention and sequestration, aligning with the objectives of initiatives like REDD+ (Reducing Emissions from Deforestation and forest Degradation plus sustainable forest management and the conservation and enhancement of forest carbon stocks) and other conservation goals. In this context, this study investigated the effects of two wood harvesting methods, reduced-impact logging (RIL) and conventional logging (CL), on above-ground biomass (AGB) recovery rates 24 years after harvesting. The experimental design was based on three treatments: RIL, CL, and an unlogged control plot, situated in the municipality of Paragominas, State of Pará, in the Eastern Amazon region of Brazil. All trees with diameter at breast height (DBH) ≥25 cm, as well as all trees of commercial species with a DBH ≥10 cm, were monitored in a 24.5 ha plot within each treatment. Additionally, a 5.25 ha subplot within each treatment was designated for the monitoring of all trees with DBH ≥10 cm. The biomass data were generated from 11 measurements carried out from 1993 to 2017 (24-year period). Pre-logging AGB stocks were estimated at 181 Mg ha-1 in the RIL plot, 187 Mg ha-1 in the CL plot, and 174 Mg ha-1 in the control plot. One year after logging, AGB decreased by 19 % under RIL and 30 % under CL, while the control forest remained unchanged. By 13 years after harvest, the RIL plot achieved 102 % AGB recovery, while the CL plot recovered 86 % of the original pre-harvest stock. Over the 24-year post-logging period, AGB stocks recovered to 128 % in the RIL plot compared to only 90 % in the CL plot, while the control forest maintained 93 % of its original stock. The average annual ABG increment rates were 3.56 Mg ha-1 year-1 after RIL and 2.33 Mg ha-1 year-1 after CL. Our findings demonstrate that implementing RIL is a more effective strategy for maintaining post-logging AGB stocks and accelerating AGB recovery rates, serving as a significant mitigation measure against climate change.

Safe Training Method for ITA Harvesting via Median Sternotomy in Minimally Invasive Coronary Artery Bypass Surgery Using Harmonic Scalpel.

Safe Training Method for ITA Harvesting via Median Sternotomy in Minimally Invasive Coronary Artery Bypass Surgery Using Harmonic Scalpel.

Tensile Strength of the Achilles Tendon Allograft: A Comparative Study of Graft Preparation Technique.

Background/Objectives: The Achilles tendon is a popular allograft option for anterior cruciate ligament (ACL) reconstruction. Structurally, the tendon is known to have a 90-degree rotational fiber track. Preparation techniques, with this consideration, may influence the strength of the graft. This study aims to assess the tensile strength of a novel Achilles tendon allograft harvest procedure following the rotational fiber track. Methods: Both Achilles tendons were harvested from formalin-embalmed cadavers [(n = 20), male n = 13, female n = 7, average age = 70]. Ten cadavers had the right Achilles as the control and the left Achilles as the fiber track sample; 10 cadavers had the opposing designation. Tensile strength was tested utilizing a Bose machine. An unpaired t-test was used to compare data across groups. Results: The average ultimate load for the control group was 874.17 N, with an average elastic stiffness of 76.01 N/mm. The ultimate load for the fiber track group was 807.84 N, with an average elastic stiffness of 64.75 N/mm. No statistically significant difference (p = 0.21) was determined between the average ultimate loads or elastic loads (p = 0.18) across groups. Conclusions: These data suggest that the rotational fiber track method of Achilles allograft has consistent tensile strength and elastic stiffness as compared to the common harvest procedure. The rotational fiber track method for ACL harvesting is a viable alternative option to the common harvest procedure for usage in an ACL reconstruction.

High‐Gain Boost Converter Based Energy Harvesting Method for the Ultra‐Low Voltage Difference of HVDC Transmission Line

ABSTRACTOnline monitoring sensors are crucial for ensuring the long‐term stable operation of high‐voltage direct current (HVDC) transmission systems. However, ensuring a sustainable and reliable energy supply for these sensors in the HVDC transmission line is extremely challenging. Energy harvesting is an efficient solution to meet the energy supply needs of self‐powered online monitoring sensors. This work proposes a novel method for harvesting energy from the ultra‐low voltage difference of HVDC transmission line using a high‐gain boost converter. Firstly, the structure of the energy harvesting system is proposed. Then, the mechanism by which the gain of the boost converter is easily affected by parasitic parameters of the circuit and device under ultra‐low input voltage is analyzed. A method for automatically stabilizing the output voltage of the boost converter using a post‐stage energy management circuit is proposed. This method avoids the use of closed‐loop control circuits, which would otherwise increase losses. Finally, the boost converter with high gain is designed to elevate the ultra‐low voltage difference to a higher voltage, providing sufficient power for the online monitoring sensors. The effectiveness of the proposed method has been verified through simulations and experiments, demonstrating that the energy harvesting system can extract energy from a voltage difference as low as 35 mV. Additionally, the system can produce a stable output power of up to 128 mW when the voltage difference is 100 mV.

No evidence hunting bait increases American black bear population growth in Maine, USA

AbstractAmerican black bear (Ursus americanus) populations are increasing throughout much of North America. Use of multiple harvest methods, including hunting over bait, is intended to increase harvest success rates to meet harvest and population management objectives. However, black bear population growth can be influenced by food availability, and some speculate the use of bait may inadvertently increase bear abundance through food resource supplementation. We collected hair from black bears captured from 2005–2019 and a selection of potential food items, including those used as bait from 3 study areas in Maine, USA, with different levels of human influence. We used stable isotope analysis of the black bear hair and food item samples to evaluate the contribution of different identified food groups to the diet of individual bears. We found no evidence that greater contribution of human food resources, including bait, increased the number of cubs per litter for reproductive females or that human foods comprised a greater part of the diet in years when natural food resources were less abundant. Approximately 69% of black bear harvest occurred over bait. We found the probability of reproductive‐age females to be harvested increased with average representation of human foods with high carbon enrichment (including bait) in their diet, but the relationship was weak, likely because of sampling constraints. Additionally, the probability of being harvested was greater in years when natural food resources were scarce. We conclude that bait is not available on the landscape in large enough amounts or for a sufficient amount of time in Maine to substantially influence female reproduction. Our results indicate hunting over bait is an effective tool in a state that is attempting to maintain a stable bear population via harvest, and dispels conjecture that hunting over bait may increase cub production and offset the intention of harvest.

An efficient polyaluminum lanthanum silicate coagulant for phosphorus removal and algal bloom control

Due to the advantages of convenient operation and low cost, the use of coagulants is considered a promising method for algae bloom harvesting. However, large dosages, poor algal bloom control rates, and limited phosphorus removal efficiency restrict the usage of most coagulants. In this study, a novel polyaluminum lanthanum silicate (PALS) coagulant was used to remove phosphorus and control algal bloom. The results of isotherm study showed that phosphorus adsorption on PALS fitted Freundlich model, indicating chemisorption and heterogeneous multilayer adsorption were the mechanisms of phosphorus adsorption by PALS. The maximum phosphorus adsorption capacity of PALS by Langmuir model was 485.30 mg/g. According to the algal bloom control experiments, the removal of algae and phosphorus was slight at low dosages of PALS (2 mg/L and 5 mg/L). Short-term control of the algal bloom was observed within 2 days in PALS-10 group, but the bloom recovered afterward, while phosphorus and algae were almost completely removed in PALS-15 and PALS-20. When the dosage of PALS was ≤ 10 mg/L, PALS coated the algal cell surfaces and induced mild oxidative stress, showing a little damage to cell integrity. However, the PALS dose over 15 mg/L could effectively capture algal cells through charge neutralization, cause severe oxidative stress, strongly upregulate the expression of selected five genes, significantly damage cell integrity, and lead to algae lysis. These findings demonstrated that PALS is a promising coagulant for phosphorus removal and algal bloom control in eutrophic waters, and the minimum threshold of its usage was 15 mg/L.

Impact of Harvest Method on Development of European Sea Bass Skin Microbiome during Chilled Storage

European sea bass (Dicentrarchus labrax) is one of the most significant species farmed in the Mediterranean, yet a very perishable product. Its quality deteriorates rapidly as a result of three mechanisms: microbial activity, chemical oxidation, and enzymatic degradation. Microbial spoilage is the mechanism that contributes most to the quality deterioration of fresh and non-processed fish. To this end, our study aims to identify for the first time the combined effect of aquatic environment and harvest method on the composition and trajectory at storage at 0 °C of the European sea bass skin microbiome. Sampling was performed in two commercial fish farms in Western (WG) and Central Greece (CG) where fish were harvested using different methods: direct immersion in ice water or a mixture of slurry ice; application of electro-stunning prior to immersion in ice water. Samples were collected on harvest day and one week post-harvest. To profile the bacterial communities in the fish skin, 16S ribosomal RNA gene sequencing was used. The results and the following analyses indicated that the aquatic environment shaped the original composition of the skin microbiome, with 815 ASVs identified in the WG farm as opposed to 362 ASVs in the CG farm. Moreover, Pseudomonas and Pseudoalteromonas dominated the skin microbiome in the WG farm, unlike the CG farm where Shewanella and Psychrobacter were the dominant genera. All these genera contain species such as Shewanella putrefaciens, Pseudomonas aeruginosa, Pseudoalteromonas spp., and Psychrobacter sp., all of which have been implicated in the deterioration and spoilage of the final product. The different harvest methods drove variations in the microbiome already shaped by the aquatic environment, with electro-stunning favoring more diversity in the skin microbiome. The aquatic environment in combination with the harvest method appeared to determine the skin microbiome trajectory at storage at 0 °C. Although Shewanella had dominated the skin microbiome in all samples one week post-harvest, the diversity and the relative abundance of genera were strongly influenced by the aquatic environment and the harvest method. This study sheds light on the hierarchy of the factors shaping the fish skin microbiome and their importance for controlling post-harvest quality of fresh fish.

THE EFFECTS OF INTEGRATED SOIL FERTILITY MANAGEMENT AND CROPPING SYSTEMS ON SOIL WATER CONTENT ON SORGHUM AND COWPEA PRODUCTION IN CENTRAL HIGHLANDS OF KENYA

<p><strong>Background:</strong> Soil fertility degradation remains the major biophysical cause of declining <em>per capita</em> crop production on smallholder farmers in Central Kenya highlands. The study was carried out for 3 consecutive seasons in Embu County classified as semi-arid lands in Kenya. <strong>Objectives:</strong> To determine the effect of Soil Water Harvesting (SWH), cropping systems and Integrated Soil Fertility Management technologies on sorghum and cowpea production in Mbeere South Sub-County, Kenya. <strong>Methodology:</strong> The treatments were arranged in a factorial structure with 3 levels of SWH, 2 cropping systems and 6 soil fertility management options laid out in a partially balanced incomplete block design. The SWC was measured after 2 weeks after planting interval stages in the whole season. Data were analyzed by ANOVA and significant means separated using Least Significant Difference (LSD) at 95% Confidence Interval. <strong>Results:</strong> There was a two way interactions effect between SWH*Fertility management options on sorghum grain yields was significant (<em>p</em>=0.0027, <em>p</em>=0.0008 and<em> p</em>=0.0057) during long rains (LR) of 2011 and 2012, and short rains (SR) of 2011, respectively. Additionally, SWH methods significantly affected sorghum grain yields in a similar trend (<em>p</em>=0.002, <em>p</em>=0.0005 and<em> p</em>=0.0003) in their respective seasons. In SR 2011 and LR 2012, soil fertility options also produced significant effects (<em>p</em>=0.0047 and <em>p</em>=0.0024) on cowpea grain yields, respectively. The results further indicated that there were significant higher SWC measurements at initial stages of 2 WAP, 4 WAP and 6 WAP intervals as compared to the late stages of the season. However, sole cropping systems had significantly more SWC measurement than those in intercropping systems in both seasons. <strong>Implications:</strong> Manure added treatments positively affected SWC conservation and this could be as a result of increased soil organic carbon which improved soil fertility. The available SWC played a great role in drought effect mitigation by availing moisture to sorghum and cowpea productivity especially when prolonged dry spells coincide with crop’s sensitive phenological growing stages. <strong>Conclusions:</strong> Water harvesting methods cropping systems and soil fertility management options had positive influence on soil moisture conservation and crop yields production in Central Kenya Highland. </p>

Cherry Tomato Detection for Harvesting Using Multimodal Perception and an Improved YOLOv7-Tiny Neural Network

Robotic fruit harvesting has great potential to revolutionize agriculture, but detecting cherry tomatoes in farming environments still faces challenges in accuracy and efficiency. To overcome the shortcomings of existing cherry tomato detection methods for harvesting, this study introduces a deep-learning-based cherry tomato detection scheme for robotic harvesting in greenhouses using multimodal RGB-D perception and an improved YOLOv7-tiny Cherry Tomato Detection (YOLOv7-tiny-CTD) network, which has been modified from the original YOLOv7-tiny by eliminating the “Objectness” output layer, introducing a new “Classness” method for the prediction box, and incorporating a new hybrid non-maximum suppression. Acquired RGB-D images undergo preprocessing such as color space transformation, point cloud normal vector angle computation, and multimodal regions of interest segmentation before being fed into the YOLOv7-tiny-CTD. The proposed method was tested using an AGV-based robot in a greenhouse cherry tomato farming facility. The results indicate that the multimodal perception and deep learning method improves detection precision and accuracy over existing methods while running in real time, and the robot achieved over 80% successful picking rates in two-trial mode in the greenhouse farm, showing promising potential for practical harvesting applications.

Harvesting low-grade wind energy from highways using a triboelectric nanogenerator

In an era of growing global energy demands, the exploration of niche energy harvesting methods is becoming increasingly important, and harnessing wind energy from highways presents a promising approach to sustainable infrastructure development given the high traffic of many roads. In this work, we report a cylindrical spinning TENG (CS-TENG) for low-grade wind energy harvesting from highways. Through empirical analysis and theoretical modeling, we investigate the feasibility of integrating CS-TENG devices along highway barriers to capture the wind energy generated by passing vehicles, which could contribute to powering streetlights and other road infrastructure in a more eco-friendly way. Our findings highlight broader societal and environmental benefits including enhancing road safety, traffic management, and energy sustainability. A single 100 mm tall CS-TENG device was tested with approximately 4 m/s wind speed and produced an open circuit voltage of 8 V and a short circuit current of 800 µA. This electrical output can be increased with an elevation in the device number, the device size, and improved material properties. This study contributes to the growing discourse on sustainable infrastructure solutions, inspiring further research and innovation in renewable energy harvesting for carbon neutrality.

Fine-mapping of a QTL and identification of candidate genes associated with the lateral branch angle of peanuts (Arachis hypogaea L.) on chromosome B05.

Peanuts play a crucial role as an oil crop, serving not only as a primary source of edible oil but also offering ample protein and vitamins for human consumption. The lateral branch angle of peanuts is the angle between the main stem and the first pair of lateral branches, which is an important agronomic trait of peanuts, significantly impacts the peg penetration into the soil, plant growth, and pod yield. It is closely intertwined with planting density, cultivation techniques, and mechanized harvesting methods. Therefore, the lateral branch angle holds substantial importance in enhancing peanut yield and facilitating mechanization. In order to conduct in-depth research on the lateral branch angle of peanuts, this research is grounded in the QTL mapping findings, specifically focusing on the QTL qGH associated with the lateral branch angle of peanuts located on chromosome B05 (142610834-146688220). By using Jihua 5 and PZ42 for backcrossing, a BC1F2 population comprising 8000 individual plants was established. Molecular markers were then developed to screen the offspring plants, recombine individual plants, conduct fine mapping. he results showed that using the phenotype and genotype of 464 recombinant individual plants selected from 8000 offspring, narrow down the localization interval to 48kb, and designate it as qLBA. The gene Arahy.C4FM6Y, responsible for the F-Box protein, was identified within qLBA through screening. Real-time quantitative detection of Arahy.C4FM6Y was carried out using M130 and Jihua 5, revealing that the expression level of Arahy.C4FM6Y at the junction of the main stem and the first lateral branch of peanuts was lower in M130 compared to Jihua 5 during the growth period of the first lateral branch from 1 to 10 centimeters. Consequently, Arahy.C4FM6Y emerges as a gene that restrains the increase in the angle of the first lateral branch in peanuts. This investigation offers novel genetic reservoirs for peanut plant type breeding and furnishes a theoretical foundation for molecular marker-assisted peanut breeding.

Optimization of material properties and performance of flexible thermoelectric generators with/without graphene

With the advancement of energy harvesting methods, the power level consumed by electronic circuits and sensors has been reduced so that self-sufficiency in power can be achieved, and the use of flexible thermoelectric generators to supply electrical energy is one of these methods. In this study, the manufacture of flexible thermoelectric generators is successfully developed and verified using a numerical method. The process follows the sandwich method of the conventional thermoelectric module and utilizes two different elastomers (polydimethylsiloxane and Eco-Flex) and thin copper sheets. Among the nine cases designed by the Taguchi method, the maximum tensile strength of the elastomer is 0.967 MPa, stemming from the operation conditions of 6 min stirring time, 85 °C heating temperature, and 3 h heating time. This strength is substantially higher than those of the other eight cases. The open-circuit voltage of the manufactured flexible thermoelectric generator with an internal resistance of 1.5 Ω is 0.011 V. The output power under a temperature difference of 75 °C is 11 μW. After blending graphene into polydimethylsiloxane, the elastomer’s thermal conductivity at 370 K rises by 9.6 folds. This results in the output power being lifted to 0.0515 W (75 °C temperature difference), accounting for an amplification of 4,681 times. Numerical simulations are also performed to aid in figuring out the detailed performance of the flexible thermoelectric generator. The errors between numerical simulations and experiments are between 4.6 % and 5.2 %, showing the reliability of the numerical predictions. The fabricated flexible thermoelectric generators can be practically used for green power generation by harvesting industrial low-temperature waste heat and biothermal energy, potentially driving sensors on industrial devices, the human body, and animals.

Technical Feasibility and Economic Viability of Portable Limb Shaker in Apricot Harvesting at Union Territory of Ladakh, India

Traditional harvesting methods of apricot result in significant harvesting and post-harvest losses. This study aimed at designing a mechanical apricot harvesting net with limb shakers to reduce the losses and enhance harvesting efficiency in the Ladakh region of India. The physical characteristics of apricot in terms of sphericity, limb displacement, fruit detachment force and apparent stiffness were measured for designing an apricot harvesting net and selection of frequency for harvesting. The technical feasibility of a mechanical apricot harvester was tested for shaking frequency (7, 22 and 33 Hz), limb diameter (<3 cm, 3-6 cm and > 6 cm) and collecting material used (insect shade net, 95% shade net and 75% shade net). The economic assessment was carried out in terms of benefit-cost ratio, breakeven point and payback period. The responses of fruit removal percentage, harvesting efficiency, mechanical bruising percentage and harvesting loss were recorded. The optimization of parameters revealed at 23 Hz shaking frequency and 75% shade net collecting material resulted in 97.16% fruit removal, 11.24% mechanical bruising, 88.77% harvesting efficiency and 52.79g twig losses per 10 kg of fruit removal for each treatment. The cost economics of the mechanical apricot shaker and collecting net revealed an operating cost of Rs. 246.5 per hour, benefit-cost ratio of 1.15:1, breakeven point of 1270.4 quintals and payback period of 2132 hours. The study can be beneficial for reducing drudgery and income augmentation of apricot growers of Ladakh and Kargil region of India.