bluuebunny/crossref_metadata_2025 huggingface dataset:
Older Adults’ Use of Extended Reality: A Systematic Review
Authors: Margrett Jennifer A. , Ouverson Kaitlyn M. , Gilbert Stephen B. , Phillips L. Alison , Charness Neil
Published: January 2022

Research has pointed to the potential of extended reality (XR), including virtual, mixed, and augmented reality, for broadly impactful benefits, including learning, physical activity and health, and psychosocial aspects such as increased empathy and reduced loneliness. More research is needed to evaluate the outcomes of XR in new populations of users, including older adults. The purpose of this systematic review is to summarize the extant literature that centers on older adult use of XR in order to identify key themes, as well as identified benefits and barriers to XR use. In total, 17 studies from 2015 to 2019 met the inclusion criteria, namely that the study collected data from a sample of adults at least 60 years of age interacting with a 3D virtual environment. Through qualitative analysis of the corpus, six thematic areas were identified: Socialization, Physical Rehabilitation, Driving Simulation, Cognitive Training, Reminiscence, and Assessment. Furthermore, the unique contexts and outcomes of XR use, preferences for XR use, and reported occurrences of cybersickness in older adults are highlighted. Research after 2019 is also noted. This review is intended to guide future research supporting deployment of XR with older adults, emphasizing the psychosocial impacts of the technology.

Systematic Review Registration: (website), identifier (registration number)
Rivers as Plastic Reservoirs
Authors: van Emmerik Tim , Mellink Yvette , Hauk Rahel , Waldschläger Kryss , Schreyers Louise
Published: January 2022

Land-based plastic waste, carried to the sea through rivers, is considered a main source of marine plastic pollution. However, most plastics that leak into the environment never make it into the ocean. Only a small fraction of plastics that are found in the terrestrial and aquatic compartments of river systems are emitted, and the vast majority can be retained for years, decades, and potentially centuries. In this perspective paper we introduce the concept of river systems as plastic reservoirs. Under normal conditions, hydrometeorological variables (such as wind, runoff and river discharge) mobilize, transport and deposit plastics within different river compartments (e.g., riverbanks, floodplains, lakes, estuaries). The emptying of these plastic reservoirs primarily occurs under extreme hydrological conditions (e.g., storms, floods). In this paper we specifically focus on the retention mechanisms within different river compartments, and their effect on the fate of the plastics that are accumulated on various timescales. We aim to introduce the concept of rivers as (long-term) sinks for plastic pollution, and provide suggestions for future research directions.
An Undergraduate Agroecology Research Fellows Program Engages Co-learning Through Participatory Action Research
Authors: Nordstrom Karen L. , Horner Catherine E. , Méndez V. Ernesto , Izzo Victor , Carpenter Nell , Faulkner Joshua W. , Caswell Martha
Published: January 2022

This paper addresses the role of an Undergraduate Agroecology Research Fellows Program (UARFP) toward a more critical and equity-oriented agroecology pedagogy. As a model rooted in action, Undergraduate Agroecology Research Fellows (UARF) become members of the Agroecology and Livelihoods Collaborative (ALC) Community of Practice (CoP), at the University of Vermont; a transdisciplinary research and education group that engages in community-based participatory action research (PAR). Through this model, UARFs support undergraduate student engagement in an advanced agroecology course, through which a PAR process centered on soil health takes place with regional farms. This triangulated learning format involves in-class and on-farm lab work, alongside the embedded UARF enrichment program, through which agroecological principles are examined via inter- and transdisciplinary educational lenses. Within this context, the objectives of the pedagogical research presented in this paper were: 1) To analyze the ALC-UARFP perceptions of transdisciplinary co-learning through PAR, and 2) extract key lessons learned for critical pedagogy, through this model in action. Our methodological results illustrate the strength of participatory inquiry to capture stakeholder perspectives, iteratively informing the program's direction, and providing key lessons learned. Parallel to this evaluative strength, the qualitative results suggest that authentic undergraduate engagement in PAR offers great potential for the development of increasingly transformative educational programs. Further, our UARFP model, grounded in reciprocal and transdisciplinary co-learning within an agroecological community of practice, pushes the praxis needle toward a more comprehensive and critical agroecology pedagogy.
A Modfied Nuss Procedure for Recurrent Pectus Excavatum of Adults
Authors: Wang Lei , Bi Rui , Xie Xiao , Xiao Haibo , Hu Fengqing , Jiang Lianyong
Published: January 2022

Background

Limited data exist for adults with recurrent pectus excavatum (PE) treated with minimally invasive surgical repair.

Methods

Between July 2008 and December 2020, forty-two adult patients with recurrent PE underwent a modified Nuss procedure with a newly designed bar in our center. A small vertical subxiphoid incision was used to separate severe adhesions when necessary. Multiple steel wires were sutured, and the rib space was narrowed to firmly fix the bar. The primary end point was Haller index change after operation. The secondary end points included length of stay after operation, short-term and long-term complications.

Results

The mean patient age was 22.02 ± 3.49 years. The mean Haller index was 4.59 ± 1.09. A subxiphoid incision was performed in 12 patients. Thirty-nine patients had one bar placed, and 3 patients required two bars. Sixteen patients had 3 or more wires fixation, and 4 patients needed to have their intercostal space narrowed. There was no perioperative death, and the mean hospitalization was 5.57 ± 2.47 days. The Haller index reduced to 3.03 ± 0.41 after the operation (t = 11.85, p < 0.001). During the follow-up, there were 3 patients who developed non-infective wound effusion; bar rotations occurred in 3 patients. Twenty patients had the bar removed, post-bar removal Haller index was significantly reduced compared to the preoperative Haller index (2.89 ± 0.37 vs. 4.72 ± 1.05, t = 8.96, p < 0.001).

Conclusions

The modified Nuss procedure with a new titanium alloy bar can achieve good results for adult patients with recurrent PE.
Rewolucja funkcjonalna. O literackich i kulturowych aspektach
nauczania języka polskiego jako obcego
Authors: Próchniak Wiola
Published: January 2022

The paper contains a short overview of the currently used methods of
teaching Polish as a foreign language and a discussion of some phenomena
related to interculturalism. The essential element of the paper is the linguistic
and cultural teaching proposal based on a short story by Sławomir Mrożek titled
Rewolucja (Revolution).
Swarm Robots Cooperative and Persistent Distribution Modeling and Optimization Based on the Smart Community Logistics Service Framework
Authors: Zhang Meng , Yang Bin
Published: January 2022

The high efficiency, flexibility, and low cost of robots provide huge opportunities for the application and development of intelligent logistics. Especially during the COVID-19 pandemic, the non-contact nature of robots effectively helped with preventing the spread of the epidemic. Task allocation and path planning according to actual problems is one of the most important problems faced by robots in intelligent logistics. In the distribution, the robots have the fundamental characteristics of battery capacity limitation, limited load capacity, and load affecting transportation capacity. So, a smart community logistics service framework is proposed based on control system, automatic replenishment platform, network communication method, and coordinated distribution optimization technology, and a Mixed Integer Linear Programming (MILP) model is developed for the collaborative and persistent delivery of a multiple-depot vehicle routing problem with time window (MDVRPTW) of swarm robots. In order to solve this problem, a hybrid algorithm of genetically improved set-based particle swarm optimization (S-GAIPSO) is designed and tested with numerical cases. Experimental results show that, Compared to CPLEX, S-GAIPSO has achieved gaps of 0.157%, 1.097%, and 2.077% on average, respectively, when there are 5, 10, and 20 tasks. S-GAIPSO can obtain the optimal or near-optimal solution in less than 0.35 s, and the required CPU time slowly increases as the scale increases. Thus, it provides utility for real-time use by handling a large-scale problem in a short time.
Electrical Properties of Li+-Doped Potassium Sodium Niobate Coating Prepared by Supersonic Plasma Spraying
Authors: Song Yaya , Huang Yanfei , Guo Weiling , Zhou Xinyuan , Xing Zhiguo , He Dongyu , Lv Zhenlin
Published: January 2022

The current work aims to compare the effects of systematic A-site substitutions on the electrical properties of potassium sodium niobate (KNN)-based coating. The A-site elements were replaced by Li+ to form (K0.4675Na0.4675Li0.065) NbO3 (KNLN). The pure KNN coating and the Li+-doped potassium sodium niobate (KNLN) coating with dense morphology and single perovskite structure were successfully prepared by supersonic plasma spraying, and the phase composition, microscopic morphology and electrical properties of the two coatings were compared and analyzed in detail by XRD, XPS, three-dimensional morphology and SEM on an Agilent 4294A (Santa Clara, CA, USA) and FE-5000 wide-range ferroelectric performance tester. The results show that: as the polarization voltage increases, the pure KNN coating is flatter and fuller, but the leakage current is large. The KNLN coating has a relatively long hysteresis loop and is easily polarized. The domain deflection responds faster to the external electric field, and the resistance of the domain wall motion to the external electric field is small. The dielectric constant of KNLN coating is 375, which is much higher than that of the pure KNN coating with 125, and the dielectric loss is stable at 0.01, which is lower than that of pure KNN coating at 0.1–0.35. This is because Li+ doping has successfully constructed a polycrystalline phase boundary in which O-T phases coexist, and has higher dielectric properties, piezoelectric properties and ferroelectric properties. At the same time, due to the high-temperature acceleration process in supersonic plasma spraying, the violent volatilization of the alkaline elements Li+, Na+ and K+ leads to the presence of oxygen vacancies and part of Nb4+ in the coating, which seriously affects the electrical properties of the coating.
Correlated Bayesian Model of Aircraft Encounters in the Terminal Area Given a Straight Takeoff or Landing
Authors: Weinert Andrew , Underhill Ngaire , Serres Christine , Guendel Randal
Published: January 2022

The integration of new airspace entrants into terminal operations requires design and evaluation of Detect and Avoid systems that prevent loss of well clear from and collision with other aircraft. Prior to standardization or deployment, an analysis of the safety performance of those systems is required. This type of analysis has typically been conducted by Monte Carlo simulation with synthetic, statistically representative encounters between aircraft drawn from an appropriate encounter model. While existing encounter models include terminal airspace classes, none explicitly represents the structure expected while engaged in terminal operations, e.g., aircraft in a traffic pattern. The work described herein is an initial model of such operations where an aircraft landing or taking off via a straight trajectory encounters another aircraft landing or taking off, or transiting by any means. The model shares the Bayesian network foundation of other Massachusetts Institute of Technology Lincoln Laboratory encounter models but tailors those networks to address structured terminal operations, i.e., correlations between trajectories and the airfield and each other. This initial model release is intended to elicit feedback from the standards-writing community.
Multi-Scale Nonlinear Progressive Damage and Failure Analysis for Open-Hole Composite Laminates
Authors: Shi Jian , Tong Mingbo
Published: January 2022

In order to study the nonlinear behaviors and interactions among the constituents for the composite material structure under the tensile load, multiscale damage model using generalized method of cells (GMC) and a lamina-level progressive damage model were established, respectively, for fiber reinforced composite laminates with a central hole, which were based on the thermodynamic Schapery Theory (ST) at either the micro-level or the lamina level. Once the nonlinear progressive degradation of the matrix material reached the lower limit value for the ST method, matrix failures naturally occurred, the failure of the fiber was determined by the maximum stress failure criterion. For the multiscale progressive damage model, the GMC model consisting of a fiber subcell and three matrix subcells was imposed at each integral point of FEM elements, and the three matrix subcells undergo independent damage evolution. The load versus displacement curves and failure modes of the open-hole laminates were predicted by using the two progressive failure models, and the results were compared with that obtained by the Hashin-Rotem progressive failure model and the experimental results. The results show that the ST based method can obtain the nonlinear progressive damage evolution states and failure states of the composite at both the lamina level and the multiscale level. Finally, the damage contours and failure paths obtained are also presented.
Evaluation of Series and Parallel Hybrid Propulsion Systems for UAVs Implementing Distributed Propulsion Architectures
Authors: Jimenez Darwin , Valencia Esteban , Herrera Ariel , Cando Edgar , Pozo Marcelo
Published: January 2022

Current environmental policies for the aviation sector motivate the use of cleaner propulsion alternatives in order to reduce their CO2 footprint and noise pollution in the coming years. In this context, hybrid propulsion systems have emerged as a potential solution, as they have demonstrated a good trade-off between performance and low pollutant emissions. The present work carries out a comparison between parallel and series hybrid propulsion systems using heterogeneous and homogeneous distributed propulsion architectures. In order to highlight the opportunities of distributed propulsion systems and validate the methodology developed, a single propulsion hybrid configuration is used as baseline case for this study. For the propulsion system sizing, this work uses a parametric modelling tool, which includes a constraint analysis coupled with a weight estimation module to determine suitable configurations for a environmental monitoring mission. The latter module includes semi-empirical correlations to size the electric and mechanical components for each propulsion setup. From the results, it has been found that for the representative case of monitoring in the Galapagos Islands, which requires an endurance of approximate 7 h, the parallel hybrid system using three distributed propulsors presents the best performance features in terms of fuel savings, showing a 34% reduction compared with the baseline case. To summarize, the main contribution of this study lies on the development of a methodology to set potential hybrid distributed propulsion configurations for UAVs aimed for determined monitoring missions.
Design of an ATC Tool for Conflict Detection Based on Machine Learning Techniques
Authors: Pérez-Castán Javier Alberto , Pérez-Sanz Luis , Serrano-Mira Lidia , Saéz-Hernando Francisco Javier , Rodríguez Gauxachs Irene , Gómez-Comendador Víctor Fernando
Published: January 2022

Given the ongoing interest in the application of Machine Learning (ML) techniques, the development of new Air Traffic Control (ATC) tools is paramount for the improvement of the management of the air transport system. This article develops an ATC tool based on ML techniques for conflict detection. The methodology develops a data-driven approach that predicts separation infringements between aircraft within airspace. The methodology exploits two different ML algorithms: classification and regression. Classification algorithms denote aircraft pairs as a Situation of Interest (SI), i.e., when two aircraft are predicted to cross with a separation lower than 10 Nautical Miles (NM) and 1000 feet. Regression algorithms predict the minimum separation expected between an aircraft pair. This data-driven approach extracts ADS-B trajectories from the OpenSky Network. In addition, the historical ADS-B trajectories work as 4D trajectory predictions to be used as inputs for the database. Conflict and SI are simulated by performing temporary modifications to ensure that the aircraft pierces into the airspace in the same time period. The methodology is applied to Switzerland’s airspace. The results show that the ML algorithms could perform conflict prediction with high-accuracy metrics: 99% for SI classification and 1.5 NM for RMSE.
Monitoring Chemical-Induced Ripening of Castor (Ricinus communis L.) by UAS-Based Remote Sensing
Authors: Cavalaris Chris , Latterini Francesco , Stefanoni Walter , Karamoutis Christos , Pari Luigi , Alexopoulou Efthymia
Published: January 2022

Castor is a crop with an evergreen habit so artificially-induced ripening is an essential precondition for mechanical harvesting of new dwarf annual hybrids. Plants’ moisture imposes a determinant effect both on pre-harvest and post-harvest seed loss, so frequent monitoring of crop ripening is crucial for identifying the optimum moisture for harvest. Remote sensing information from Unmanned Aerial Systems (UASs) along with field measurements were utilized in the present study in order to evaluate three harvest aid chemicals, herbicides glyphosate (GLY) and diquat (DIQ) and the defoliant Spotlight® (DEF) for terminating the castor crop and identifying opportunities for using remote sensing as a tool for monitoring crop ripening. The results showed that glyphosate required more than two weeks to dry out the crop while diquat and spotlight® presented a rapid action within two to four days. Nineteen vegetation indexes (VIs) were derived from a multispectral and an RGB camera mounted on two UAS and were plotted against field measurements. NDVI presented a higher accuracy (R2 = 0.67) for predicting the castor stems’ and leaves’ moisture content while OSAVI and SIPI2 were more powerful in predicting moisture of capsules (R2 > 0.76). High efficiency was also obtained with VARIgreen, an index estimated from the common bands of a conventional RGB camera. The best performing VIs were further utilized in multiple linear regression models also incorporating the date of spraying as information. The VI models further improved the predicting power with an R2 of up to 0.73 for stems and leaves and 0.81 for capsules.
Research on Dynamic Load Characteristics of Advanced Variable Speed Drive System for Agricultural Machinery during Engagement
Authors: Cheng Zhun , Lu Zhixiong
Published: January 2022

A wet clutch is the key component to realize power uninterrupted in agricultural machinery operation. To reduce impact of the system and improve engagement quality, this paper studies and establishes the dynamic load characteristics model of a wet clutch and analyzes three kinds of tractor working conditions. This paper proposes and adopts the method of combining ‘PLS analysis-Improved SA—Comparison of various models-Actual test data’. The results show that with the limit of 100 Nm, the relationship between dynamic load characteristics and oil pressure is opposite. Load is highly inversely correlated with dynamic load, and it has enough precision to build a power curve model only by load (MAPE is 4.5929%). Take a certain type of tractor for example, oil pressure should be maintained at a low level, plowing resistance should be greater than 1600 N and the mass of transportation should avoid 600~1800 kg. This study provides a direct basis for the control, design and performance improvement of agricultural machinery.
Soil Efflux of Carbon Dioxide in Brazilian Cerrado Wheat (Triticum aestivum L.) under Variable Soil Preparation and Irrigation
Authors: Silva Wininton M. da , Bianchini Aloísio , Amorim Ricardo S. S. , Couto Eduardo G. , Weber Oscarlina L. dos S. , Hoshide Aaron Kinyu , Pereira Pedro S. X. , Cremon Cassiano , Abreu Daniel C. de
Published: January 2022

Soil turning during pre-seeding preparation is meant to loosen and promote physical characteristics responsible for the development of crop roots in soil. In this study, we demonstrate effects of three methods of pre-seeding preparation at two depths of irrigation on carbon dioxide (CO2) efflux as well as the temporal variability in the distribution of soil carbon. This experiment was conducted at the rural cooperative extension research station in Tangará da Serra, Mato Grosso, Brazil, for two wheat production years in 2011 and 2012. The experimental design was randomized in strips, with four repetitions. Wheat was irrigated during the June to early October dry season. The treatments include two methods of soil preparation: traditional preparation with one plowing and two disc harrowings and minimal preparation with one seed bed conditioner pass. A third treatment of direct seeding was also evaluated. Soil CO2 efflux, soil temperature, air-filled soil porosity, and labile carbon were measured. We found soil preparation affects CO2 efflux in irrigated cultivation systems within Brazil’s Cerrado savannah, with conventional tillage having greater CO2 emissions than either reduced tillage or direct seeding. Soil CO2 emissions were lower at 508 mm versus 698 mm irrigation depth, but wheat yields were significantly lower.
Decision Support System (DSS) for Managing a Beef Herd and Its Grazing Habitat’s Sustainability: Biological/Agricultural Basis of the Technology and Its Validation
Authors: Asher Aviv , Brosh Arieh
Published: January 2022

Grazing pasture quality and availability, and grazing animal performance, depend on ecological and weather conditions and grazing management. The latter can be improved by remote monitoring of animals and grazed forage. The aim of this study was to test the ability of a new remote-monitoring system to improve cow and pasture performance. The study used 20 collars for a herd of 40 cows, precision technology to monitor each collared cow’s location and activities 24 h per day, and herd-management system (HMS) software to optimize grazing-land and animal performance. The study covered 4 consecutive years of reproductive cycles and seasonal feed supplements. The selected forage’s metabolizable energy (ME) calculated by the HMS was significantly correlated with the ME calculated by fecal near-infrared spectroscopy analysis (rp = 0.91, p < 0.001). Cows’ daily activities (walking, grazing, resting, and average daily meal duration), energy balance, and forage quality changed with the seasons, mainly affected by the timing, duration, and volume of precipitation. The HMS well identified sickness events, forage quality and availability, cows’ retained energy, and grazing-land stocking rate (2.9 ha/cow). A significant increase in weaning rate along the 5 years of the study (rp = 0.921, p < 0.01) was found.
Overall Quality of “Early” Potato Tubers as Affected by Organic Cultivation
Authors: Ierna Anita , Parisi Bruno , Melilli Maria Grazia
Published: January 2022

Understanding the nature of the perceived quality advantage of organically-grown early crop potatoes over conventionally-grown ones is of relevance given the expansion in demand for foodstuffs produced by environmentally friendly agricultural practices. The effect of the cultivation system (organic vs. conventional) on physicochemical (skin color, firmness, skin thickness, pH, titratable acidity), nutritional (dry matter, ascorbic acid, total phenolics content, antioxidant activity), and sensorial (for boiled and fried tubers) traits of early potatoes were explored in a field trial conducted during two-seasons in Sicily (Southern Italy) and involving five yellow-fleshed genotypes. The organic cultivation system, averaged across seasons and genotypes, produced tubers displaying a more attractive skin color, with higher skin thickness and firmness, higher dry matter content (19.0 vs. 17.9%), and total phenolics content (350 vs. 232 mg GAE 100 g−1 dry weight) but lower ascorbic acid content (76 vs. 103 mg 100 g−1 dry weight) and antioxidant activity (42 vs. 56% DPPH reduction). The organic cultivation did not affect attributes after boiling but improved all sensory attributes (crispness, typical taste, and browning degree) after frying, highlighting that the superiority of the organic potatoes does not cover all aspects of quality. The positive effects of organic cultivation on physicochemical, nutritional, and sensorial quality were particularly evident in Arinda, Ditta, and ISCI 4F88. Even if the response of organic cultivation on overall quality also depended upon seasonal conditions, cultivar choice plays a key role in optimizing this production system, highlighting the importance of breeding programs.
An Integrated Yield-Based Methodology for Improving Soil Nutrient Management at a Regional Scale
Authors: Qu Mingkai , Guang Xu , Li Jinfen , Liu Hongbo , Zhao Yongcun , Huang Biao
Published: January 2022

The relationships between crop yield and its selected related impact factors has often been explored using ordinary least squares regression (OLSR). However, this model is non-spatial and non-robust. This study first used stepwise regression to identify the main factors affecting winter wheat yield from twelve potential related factors in Yucheng County, China. Next, robust geographically weighted regression (RGWR) was used to explore the spatially non-stationary relationships between wheat yield and its main impact factors. Then, its modeling effect was compared with that of GWR and OLSR. Last, robust geostatistical analysis was conducted for spatial soil management measures in low-yield areas. Results showed that: (i) three main impact factors on wheat yield were identified by stepwise regression, namely soil organic matter, soil total phosphorus, and pH; (ii) the spatially non-stationary effects of the main impact factors on wheat yield were revealed by RGWR but were ignored by OLSR; (iii) RGWR obtained the best modeling effect (RI = 52.31%); (iv) robust geostatistics obtains a better spatial prediction effect and the low-yield areas are mainly located in the northeast and the middle east of the study area. Therefore, the integrated yield-based methodology effectively improves soil nutrient management at a regional scale.
Determination of the Composition of Bio-Oils from the Pyrolysis of Orange Waste and Orange Pruning and Use of Biochars for the Removal of Sulphur from Waste Cooking Oils
Authors: Sánchez-Borrego Francisco-José , García-Criado Noelia , García-Martín Juan F. , Álvarez-Mateos Paloma
Published: January 2022

Waste generated in the agri-food sector is a potential source of biomass and other products of high added value. In this work, the pyrolysis of orange waste and orange pruning was carried out to produce adsorbent biochars and characterise the bio-oils aiming for high-added-value compounds. Pyrolysis was carried out in a vertical tubular furnace on the laboratory scale modifying the temperature (400–600 °C), the heating ramp (5–20 °C·min−1) to reach the previous temperature and the inert gas flow rate (30–300 mL Ar·min−1) throughout the furnace. The most suitable conditions for obtaining biochar were found to be 400 °C, 5 °C·min−1, and 150 mL Ar·min−1 for orange waste, and 400 °C, 10 °C·min−1, and 150 mL Ar·min−1 for orange pruning. Thermogravimetric analysis showed higher thermal stability for orange pruning due to its higher lignin content (20% vs. 5% wt. on a wet basis). The bio-oil composition was determined by GC-MS. Toluene and 5-hydroxymethylfurfural were the main compounds found in orange waste bio-oils, while orange pruning bio-oils were composed mainly of 4-hydroxy-4-methyl-2-pentanone. Finally, the removal of the sulphur content from waste cooking oil was assayed with the biochars from both orange waste and orange pruning, whose BET surface areas were previously determined. Despite their low specific surface areas (≤1 m2·g−1 for orange waste biochars and up to 24.3 m2·g−1 for orange pruning biochars), these biochars achieved a reduction of the initial sulphur content of the waste cooking oil between 66.4% and 78.8%.
Long-Term Decline in Harvester Termites in Madagascar following Multiple Barrier Treatments with Fipronil against Migratory Locust
Authors: Peveling Ralf
Published: January 2022

Mounds of the harvester termite Coarctotermes clepsydra (Sjöstedt) (Isoptera: Termitidae, Nasutitermitinae) are a typical feature of savanna woodlands in Madagascar. With densities of up to 300 termitaria ha−1, this species provides key ecosystem services and is an important food source for wildlife. Following large-scale aerial blanket and barrier treatments with the insecticide fipronil to control an outbreak of migratory locust in the late 1990s, evidence emerged that C. clepsydra and related food webs were adversely affected. However, neither the scale nor the duration of the effects were known. The present ex post study investigated the recovery of C. clepsydra populations subjected to multiple barrier treatments against hopper bands in 1998 and 1999 at estimated cumulative dose rates of 1.7–3.4 g fipronil ha−1. At the time of the survey in 2007, both the density of occupied termitaria (30.2 versus 106.8 mounds ha−1) and mound occupancy (24.3% versus 70.0%) were significantly lower in repeatedly sprayed so-called hotspots than in unsprayed areas. The overall adverse effect (mortality in sprayed areas corrected for mortality in unsprayed areas) was E = 64.4%. The main outcome of this study is a strikingly low resilience of C. clepsydra populations, which did not recover in hotspots within eight years, with likely repercussions on food webs. This study shows that the environmental benefits of barrier treatments are forfeited if the same areas are treated repeatedly during the same campaign. Recommendations are given for the mitigation of these risks.
The Potential of Biochar to Enhance the Water Retention Properties of Sandy Agricultural Soils
Authors: Ndede Elizaphan Otieno , Kurebito Soboda , Idowu Olusegun , Tokunari Takeo , Jindo Keiji
Published: January 2022

The impact of climate change has become increasingly severe in drylands, resulting in heat stress and water deficiency and, consequently, reducing agricultural production. Biochar plays an important role in improving soil fertility. The properties of sandy soils where water deficiency occurs with a greater frequency need to be enhanced by biochar amendments to increase the water retention capacity (WRC). Few studies have reported the effects of biochar on the readily available water (RAW) of these soils or an evaluation of the optimal application rate of the biochar. In this study, we aimed to assess the effect of different biochar types and application rates on the soil properties related to water retention. Under laboratory conditions, we amended sandy soil with four different types of biochar (woodchip (WBC), waterweed of Ludwigia grandiflora (WWBC), poultry litter (PLBC) and bagasse (BBC)) at rates of 0%, 5%, 10%, 15%, 25%, 50%, 75% and 100%. Soils treated with zeolite and perlite, both conventional materials, were arranged for a comparative study. The water content in the amended soils was recorded at saturation, field capacity, wilting point and oven-dry. Our results show a reduction in the bulk density by increasing the amendment rate across all biochar types. Although the WRC increased with the application rate, the RAW reduced and peaked at a 5% (v/v) biochar content for almost all the biochar types. WBC and WWBC showed the highest RAW increments of 165% and 191%, respectively, at a 10% (v/v) rate. In most cases, higher rates (such as 75% (v/v) of PLBC) caused negative effects on the RAW. Following these results, it is clear that both the biochar type and the application rate significantly influence the hydrological properties and the RAW capacity of sandy soils. A 5% (v/v) biochar amendment could significantly improve the readily available water to mitigate drought in sandy agricultural soils.
Identification and Characterisation of Stripe Rust Resistance Genes Yr66 and Yr67 in Wheat Cultivar VL Gehun 892
Authors: Bariana Harbans , Kant Lakshmi , Qureshi Naeela , Forrest Kerrie , Miah Hanif , Bansal Urmil
Published: January 2022

Wheat cultivar VL Gehun 892 has shown a high level of resistance against Australian Puccinia striiformis f. sp. tritici (Pst) pathotypes. In this study, it was crossed with Westonia, a susceptible wheat cultivar, and digenic segregation was observed in the derived population against Pst pathotype 134 E16A+Yr17+Yr27+. Single-gene recombinant inbred line (RIL) populations were developed from F3 families (VL Gehun 892/Westonia#1 and VLGehun 892/Westonia#4) that showed monogenic segregations with two distinct phenotypes. Single-gene segregation against Pst pathotype 134 E16A+Yr17+Yr27+ was confirmed in both F6 RIL populations. Bulked segregant analysis using a 90K Infinium SNP array placed YrVL1 in the short arm of chromosome 3D and YrVL2 in the long arm of chromosome 7B. Kompetitive allele specific polymerase chain reaction (KASP) assays were developed for the SNPs linked with YrVL1 and YrVL2 and were mapped onto the respective populations. KASP_48179 (0.6 cM proximal) and KASP_18087 (2.1 cM distal) flanked YrVL1, whereas YrVL2 was mapped between KASP_37096 (1.2 cM proximal) and KASP_2239 (3.6 cM distal). Based on their pathotypic specificities, map locations, and stages of expression, YrVL1 and YrVL2 were demonstrated to be unique loci and named Yr66 and Yr67, respectively. Markers linked with these genes showed more than 85% polymorphism when tested on a set of 89 Australian cultivars and hence could be used for the marker-assisted selection of these genes in wheat breeding programs, following checks of parental polymorphisms.
Automatic Bunch Detection in White Grape Varieties Using YOLOv3, YOLOv4, and YOLOv5 Deep Learning Algorithms
Authors: Sozzi Marco , Cantalamessa Silvia , Cogato Alessia , Kayad Ahmed , Marinello Francesco
Published: January 2022

Over the last few years, several Convolutional Neural Networks for object detection have been proposed, characterised by different accuracy and speed. In viticulture, yield estimation and prediction is used for efficient crop management, taking advantage of precision viticulture techniques. Convolutional Neural Networks for object detection represent an alternative methodology for grape yield estimation, which usually relies on manual harvesting of sample plants. In this paper, six versions of the You Only Look Once (YOLO) object detection algorithm (YOLOv3, YOLOv3-tiny, YOLOv4, YOLOv4-tiny, YOLOv5x, and YOLOv5s) were evaluated for real-time bunch detection and counting in grapes. White grape varieties were chosen for this study, as the identification of white berries on a leaf background is trickier than red berries. YOLO models were trained using a heterogeneous dataset populated by images retrieved from open datasets and acquired on the field in several illumination conditions, background, and growth stages. Results have shown that YOLOv5x and YOLOv4 achieved an F1-score of 0.76 and 0.77, respectively, with a detection speed of 31 and 32 FPS. Differently, YOLO5s and YOLOv4-tiny achieved an F1-score of 0.76 and 0.69, respectively, with a detection speed of 61 and 196 FPS. The final YOLOv5x model for bunch number, obtained considering bunch occlusion, was able to estimate the number of bunches per plant with an average error of 13.3% per vine. The best combination of accuracy and speed was achieved by YOLOv4-tiny, which should be considered for real-time grape yield estimation, while YOLOv3 was affected by a False Positive–False Negative compensation, which decreased the RMSE.
Different Green Manures (Vicia villosa and Brassica juncea) Construct Different Fungal Structures, Including Plant-Growth-Promoting Effects, after Incorporation into the Soil
Authors: Asghar Waleed , Kataoka Ryota
Published: January 2022

The application of green manure to soil improves soil health by increasing biological activity. However, little attention has been paid to the effects of different green manures on the microbiological community and soil function after incorporation. Here, it was found that the green manures of Vicia villosa (leguminous) and Brassica juncea (non-leguminous) have different fungal structures, despite the soil originally being the same. Moreover, some isolated strains showed plant-growth-promoting abilities. Three strains (H1: Penicillium spp., H2: Clonostachys spp., and H3: Trichoderma spp.) from leguminous-manure-incorporated soil and four strains (B1: Purpureocillium spp., B4: Taifanglania spp., B6: Trichoderma spp., and B10: Aspergillus spp.) from non-leguminous-manure-incorporated soil showed the potential for plant growth enhancement. Plant-growth-promoting traits revealed that four strains possessed phosphate solubilization and siderophore production, although none of them showed the ability to produce indole-3-acetic acid (IAA)-like compounds with/without tryptophan. In addition, higher extracellular enzyme activities—including endoglucanase and β-glucosidase activities—were also detected in the soil-incorporated green manures. In conclusion, this study suggests that different fungal structures appeared when different green manures were applied, which promoted plant growth. This indicates the potential benefits of promoting the incorporation of green manure into the soil.
An Overview of the Mechanisms Involved in Coffee-Hemileia vastatrix Interactions: Plant and Pathogen Perspectives
Authors: Silva Maria do Céu , Guerra-Guimarães Leonor , Diniz Inês , Loureiro Andreia , Azinheira Helena , Pereira Ana P. , Tavares Sílvia , Batista Dora , Várzea Vítor
Published: January 2022

Coffee is one of the most consumed beverages in the world. It is also one of the most globally traded commodities. Coffee leaf rust (CLR), caused by the biotrophic fungus Hemileia vastatrix, is the most important disease affecting Arabica coffee growing worldwide, leading to significant yield losses if no control measures are applied. A deep understanding of the complex mechanisms involved in coffee-H. vastatrix interactions, such as the pathogen variability and the mechanisms governing plant resistance and susceptibility, is required to breed efficiently for durable resistance and design new approaches for crop protection. Here we summarize our current understanding across multiple areas related to pathogen infection, variability and candidate effectors, breeding for disease resistance, and the various components of the coffee immune system, by reviewing a comprehensive body of research on CLR and the advances recently made. We also update information about the defense responses activated by the application of plant resistance inducers, a promising alternative to fungicides in the control of CLR. Moreover, we identify and discuss future directions for further research.
Movement of Free-Ranging Koalas in Response to Male Vocalisation Playbacks
Authors: Jiang Alex Zijian , Murray Peter , Phillips Clive , Tribe Andrew , Ellis William
Published: January 2022

Effective conservation strategies rely on knowledge of seasonal and social drivers of animal behaviour. Koalas are generally solitary and their social arrangement appears to rely on vocal and chemical signalling. Male koala vocalisations, known as bellows, are believed to be closely related to their breeding behaviour. Previous research suggests that oestrous female koalas use bellows to locate unique males to mate with, and that males can similarly use bellows to evaluate the physical attributes of their peers. We tested the behavioural responses of 20 free ranging koalas to bellow recordings collected from small (<6 kg) and large (>8.5 kg) adult male koalas. Individual koala movement was reported by hourly-uploaded GPS coordinates. We report evidence of intra-male competition, with adult males approaching bellow playbacks, particularly those from small-sized males. In contrast, males under three years of age were averse to the playbacks. No patterns in the response of females were detected. Our results provide the strongest evidence yet that bellows are primarily a means by which males occupy and control space during the breeding season. Future studies are required to see if female response to bellows depends on their reproductive status.
Alien or Native? How to Distinguish Feces of Fallow and Roe Deer Using Central Poland as a Case Study
Authors: Gryz Jakub , Krauze-Gryz Dagny , Klich Daniel
Published: January 2022

The method of pellet group count is commonly used for estimating population trends of ungulates; however, in the case of species of similar body size, the misidentification rate can be high. Our aim was to find a metrical threshold between pellet groups of roe deer (native species) and fallow deer (alien species) to be applied during fieldwork. The study was conducted in spring 2020 and 2021 in central Poland (lowlands) in areas were only roe or fallow deer occurred. We measured the number of feces in the group, the length and width of five randomly selected feces from each pellet group and the length/width ratio. Roe deer pellets were shorter, narrower and less elongated than those of fallow deer; yet, length was found to be the best discriminant. The most accurate threshold was 1.2 cm, i.e., 12–15% of pellets were over/below this value. The mean number of pellets in a group was lower for roe deer (39.6, SE = 1.6) than for fallow deer (64.5, SE = 1.5). A value of 50–52 pellets best differentiated between the two species. To conclude, combining these two measurements could be an objective method to distinguish between pellet groups of the two species.
Prevalence of Blastocystis in Geese Reproductive Flocks
Authors: Falkowski Piotr , Gaweł Andrzej , Bobrek Kamila
Published: January 2022

Blastocystis is a unicellular, anaerobic protozoan that has a low specificity for the hosts, and it could be a zoonosis. There are not many data about the occurrence of Blastocystis in bird species, and this study aimed to check the prevalence of Blastocystis infection in reproductive geese flocks. The result obtained showed that a parasite was present in 46.5% of tested flocks. The extensiveness of the Blastocystis invasion in reproductive geese flocks was low because the genetic material of parasites was found only in 7.48% of samples. There was no correlation between the infection and the bird’s age or the flock size. The data obtained showed that geese could be the source of infections in humans who have contact with carriers of the infection.
In Vivo Follicular and Uterine Arterial Indices as an Indicator of Successful Hormonal Stimulation for Inactive Ovaries in Repeat-Breeder Crossbred Dairy Cows Using a Short-Term Progesterone-Based Programme
Authors: Yama Punnawut , Yadmak Chayanon , Sangkate Molarat , Jitjumnong Jakree , U-krit Warittha , Promsao Nalinthip , Montha Napatsorn , Sudwan Paiwan , Mektrirat Raktham , Panatuk Julakorn , Inyawilert Wilasinee , Sringarm Korawan , Lumsangkul Chompunut , Tapingkae Wanaporn , Doan Hien Van , Tang Pin-Chi , Moonmanee Tossapol
Published: January 2022

An investigation of vascularity of ovarian and uterine arteries after hormonal treatment for inactive ovaries using the short-term progesterone-based programme had not yet been explored in repeat-breeder crossbred dairy cows. To investigate the in vivo follicular and uterine arterial indices as an indicator of successful hormonal stimulation for inactive ovaries in repeat-breeder crossbred dairy cattle, 59 cows with inactive ovaries were induced with a 5-day progesterone-based protocol. At the completion of hormonal synchronisation, cows were divided into two groups according to the size of the largest follicle (LF) on their ovary: small (≤10.0 mm) and large (>10.0 mm) LFs. Vascularities of LF and uterine artery (UtA) were evaluated using a colour Doppler tool. Cows that presented with large LF had greater follicular and UtA vascular indices (p < 0.001) and pregnancy rate (p < 0.01) than cows bearing small LF on their ovary. There was a positive correlation (p < 0.001) between follicular size and LF and UtA vascular indices. Our findings highlighted that in vivo LF and UtA vascular indices at the completion of hormonal stimulation might be a promising indicator for predicting success in ovarian response to hormonal stimulation for inactive ovaries of infertile crossbred dairy cows.
Is There a Link between Vomeronasalitis and Aggression in Stable Social Groups of Female Pigs?
Authors: Asproni Pietro , Mainau Eva , Cozzi Alessandro , Carreras Ricard , Bienboire-Frosini Cécile , Teruel Eva , Pageat Patrick
Published: January 2022

The vomeronasal organ (VNO) is a bilateral chemosensory structure strongly involved in animal behaviour, thanks to its sensory epithelium (VNSE) that detects pheromones. Experimental VNO lesions can impair social, reproductive and maternal behaviour, while feline spontaneous vomeronasalitis has been associated with aggression. This study aimed to describe vomeronasalitis in farm pigs and explore its association with intraspecific behavioural alterations. Using 38 six-month-old pigs, the skin lesion score based on Welfare Quality® protocols was obtained during the fattening period. The seventy-six VNOs from these pigs were stained in haematoxylin-eosin for histological examinations. VNSE inflammation was classified considering its intensity. Skin lesions data were compared to vomeronasalitis. There were 34% of pigs that showed unilateral VNSE inflammation, while 66% were bilaterally affected. The mean ± SD number of skin lesions/animal was 4.4 ± 2.82, and 34% of pigs scored 1 (moderately wounded animals) at least once during the fattening period. Statistical analysis showed an association between bilateral vomeronasalitis and skin lesion score (p < 0.05) and between bilateral moderate vomeronasalitis and skin lesions number (p < 0.01). This is the first report linking vomeronasalitis to social life in farm animals. Considering the role of social life in animal welfare, our data opens a research field linking pathology to animal behaviour.