End Of The Season Research Articles

Optimizing influenza vaccine allocation: A predictive analytics approach for informed public health planning.

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. Excessive purchasing of influenza vaccine can lead to costly overages and waste of resources. Insufficient quantities, however, can jeopardize population health. Our project aimed to use predictive analytics to determine the influenza vaccine quantities that would be needed for the next influenza season while minimizing vaccine waste and meeting patient care demands. Several data sources were evaluated to develop a predictive analytics model to better estimate future influenza vaccine orders during upcoming influenza seasons. A retrospective analysis of influenza vaccine administrations over the last 4 influenza seasons allowed the team to develop an algorithm to predict influenza vaccine needs. Two regions within Mayo Clinic were selected to determine the validity of our ordering process. These 2 regions, identified as regions 3 and 5, ordered influenza vaccines based on the algorithm, while the other 3 regions acted as control groups, ordering though traditional methods based on purchasing data. Predictive analysis for the 2 intervention regions resulted in a savings of over $1 million when compared to traditional ordering methods. The model predicted that the quantity of vaccine ordered should be 17,574.16 and 9,164.29 quadrivalent influenza vaccines for regions 3 and 5, respectively. On the basis of actual administration data, 15,902 vaccines for region 3 and 9,016 vaccines for region 5 will be administered by the end of the season, both of which are less than the predicted amount needed, demonstrating the accuracy of the analytics. Compared to the traditional ordering method, ordering using predictive analytics allowed the team to more accurately determine future order volumes and spend, yielding significant cost savings.

Fluctuating population density of the goby Lubricogobius exiguus during the breeding season with artificial nests at Oto Beach, Kagoshima, southern Japan

AbstractCryptobenthic reef fish (CRF), which are benthic reef fish with body lengths of less than 50 mm, generally exhibit life history characteristics, such as a short lifespan, early maturation, high mortality, and microhabitat specialization. In this study, we investigated breeding season and population fluctuation patterns of a gobiid CRF fish Lubricogobius exiguus. At our field study site, the breeding season of L. exiguus extended from April to November. The population densities of L. exiguus fluctuated considerably, starting at low density early in the breeding season, increasing to a peak in the middle of the season, and stabilizing at a medium density by the end of the season. This seasonal pattern was influenced by two peaks in juvenile recruitment, and the adult population increased after these peaks. The fluctuating numbers of juveniles and adults suggest that some individuals may have a short post-settlement lifespan of less than 80 days.

A detailed analysis of game statistics of professional tennis players: An inferential and machine learning approach.

Tennis, a widely enjoyed sport, motivates athletes and coaches to optimize training for competitive success. This retrospective predictive study examines anthropometric features and statistics of 1990 tennis players in the 2022 season, using 20,040 data points retrospectively obtained from the ATP official source after the end of the season. These data were cross-verified with information from other sources before categorisation to address any discrepancies. Employing various analytical methods, the results emphasize the strategic importance of tournament participation and gameplay for financial gains and higher rankings. Prize money analysis reveals a significant disparity favoring top players. Multivariate Analysis of Variance highlights the need to consider multiple variables for understanding ATP rankings. Multinomial Logistic Regression identifies age, height, and specific service-related metrics as key determinants, with older and taller players more likely to secure top positions. Neural Network models exhibit potential in predicting ATP Rank outcomes, particularly for ATP Rank (500). Our results argue for the use of Artificial Intelligence (AI), specifically Neural Networks, in handling complex interactions and emphasize that AI is a supportive tool in decision-making, requiring careful consideration by experienced individuals. In summary, this study enhances our understanding of ATP ranking factors, providing actionable insights for coaches, players, and stakeholders in the tennis community.

Evaluation of the performance of three barley varieties under the influence of nitrogen fertilizer

The study was conducted in the fields of the Department of Agricultural Research / Nineveh during the season. (2023 - 2024). Research included two factors: first: nitrogen fertilizer (fertilized, non-fertilized). Second factor: barley varieties (Rehan, Samir, Amal). The study utilized a completely randomized block design. The global experimental system with three replicates was conducted at the end of the season . The data was analyzed using the SAS program on a computer, with different averages marked with different alphabets, and the results were as follows: The nitrogen fertilizer treatment demonstrated a significant improvement over the non-fertilized. The treatment focuses on average traits. (plant height, spike length, number of spikes m-2, weight of 1000 grains, and grain yield). The Samir barley variety was significantly superior to the rest of the varieties in terms of characteristics (plant height, 1000 grain weight, and grain yield). The interaction between nitrogen fertilizer treatment and the barley variety Samir demonstrated significant superiority in all studied traits. The aim of the research is to determine the response of the three best varieties to nitrogen fertilizer in terms of growth and productivity.

The history of the breeding of Clematis (Clematis L.) in the M. M. Gryshko National Botanical Garden, NAS of Ukraine

Purpose. Investigate the history of Clematis breeding in the M. M. Gryshko National Botanical Garden (NBG), NAS of Ukraine, determine the main directions of hybrid Clematis breeding work. Results. It was established that the result of more than 16 years of breeding Clematis in the NBG was the selection of the 61 perspective hybrid, 42 of which, the most perspective, were assigned names. Of these, large­flowered varieties are the most numerous according to the distribution of variety groups in the current Royal Horticultural Society of Great Britain classification. In particular, Late Large­flowered account for about 40% of the total and Early Large­flowered for about 29%. Small­flowered hybrids make up the smaller part, of which about 26% belong to the Viticella group and one hybrid (‘Sputnik’) to the Integrifolia. The known directions of distribution of hybrid Сlematis of the NBG breeding indicate the possibility of their successful cultivation both in continental and maritime areas with a high level of humidity in the temperate zone and in the dry Mediterranean climate of the subtropical climate zone, which reveals their significant adaptive potential. Conclusions. Obtaining varieties of hybrid Clematis of domestic breeding is important for the implementation of sustainable horticulture practices on the territory of Ukraine, since a significant part of the modern introduced assortment of Clematis raises doubts about their adaptability to the local climate, and requires additional research into their adaptive potential. A successful combination in vertical landscaping of NBG­bred Clematis belonging to different varietal groups can ensure continuous flowering from May to the end of the season. These unique characteristics of Clematis ensure the creation of not only environmentally sustainable, but also visually appealing spaces that will contribute to the overall health and beauty of the urban environment.

Monitoring hip adductor strength in professional women's football players over a season: A prospective study

ObjectivesTo describe the changes in hip adductor strength of professional women's football players over a season. DesignOne-season prospective study. SettingFacilities of a national first division club. ParticipantsProfessional women's football players. Main outcome measuresMaximum hip adductor isometric strength in the long-lever and short-lever positions at four timepoints: early preseason, early season, mid-season, and end-season. ResultsTwenty-two players completed the study. Hip adductor strength values in early preseason (134 ± 29 N in the long-lever position and 317 ± 68 N in the short-lever position) were significantly lower than in the early season (171 ± 29 N and 363 ± 54 N) and mid-season (163 ± 23 N and 369 ± 53 N). By the end of the season (150 ± 19 N and 345 ± 39 N), strength values had significantly declined from both early and mid-season levels. Visual inspection of individual athletes' strength evolution over time reveals heterogeneous responses, with some players showing trajectories opposite to the group at specific time points. ConclusionsHip adductor strength increased from the preseason to the start of the women's football national league, remained stable during the first half of the league, but slightly declined in the second half. The heterogeneous responses among athletes underscore the importance of individualized monitoring throughout the season.

Effects of Rainfall and Harvest Time on Postharvest Storage Performance of ‘Redson’ Fruit: A New Red Pomelo x Grapefruit Hybrid

‘Redson’ is a new triploid, red-fleshed pomelo × grapefruit hybrid. The goal of this study was to examine the effects of rainfall, harvest time, tree age, and yield on the postharvest storage performance of ‘Redson’ fruit. During 2022/23, two postharvest storage trials were conducted with early- and late-harvested fruit. The fruit from the early harvest retained good quality for up to 16 weeks of storage at 7.5 °C plus 1 week at 22 °C, whereas the late-harvested fruit suffered from a high decay incidence. During 2023/24, we expanded the postharvest trials to nine different fruit sets harvested from early season (late October) until the end of the season (January). Fruit quality was examined under the same storage conditions after 6 and 16 weeks, and the results indicated that early- and mid-season fruit retained good quality with minimal decay incidence even after prolonged storage for 16 weeks, whereas the late-season fruit suffered from significant decay incidences of 17–22% and a decline in flavor acceptability. Further analysis revealed strong and significant correlations between various rainfall parameters and harvest time and decay incidences. Overall, early-harvested fruit during the autumn had a superior postharvest storage performance, whereas late-harvested fruit during the rainy winter suffered from decay development.

Spider plant (Cleome gynandra) breeding priorities and preferences among landraces in Zimbabwe

Background: Participatory approaches such as participatory rural appraisal (PRA) and participatory variety selection (PVS) methods empower farmers to play a greater role in the decision-making process and in shaping the future improvement of crops. However, few studies have established breeding priorities and assessed variety preferences for spider plant, a nutrient-rich and medicinal crop mainly grown as landraces by farmers.Aim: This study aims to set spider plant breeding priorities and select preferred varieties.Setting: This study was conducted at seven farmer field schools (FFSs) located in various districts of Zimbabwe during the 2021–2022 summer season.Methods: Landrace genotypes were planted in a variety of demonstration plots where farmers met, learned and discussed important breeding traits, ultimately ranking the landrace genotypes. Important traits of spider plant were identified and prioritised to establish breeding priorities. The final ranking was conducted at the end of the season, and the data were analysed for significance.Results: The top six most important breeding priorities across the FFS can be ranked as follows: size of leaves number of branches taste late maturity germination early leaf growth. Preferences for different genotypes varied among FFSs. CGGUR, CGMRGP-Marondera and CGUZG1 were preferred for higher branching habits. Landraces with larger leaf sizes, were CGNPGRC356, CGMRGP-Marondera.Conclusion: The preferred genotypes were as follows: Tsholotsho = CGGUR, Rushinga = CGKENYA, Chiredzi = CGMRG1, Mudzi = CGMRGP-Marondera, Horticulture Research Institution – Research community (HRI-R) = CGMRG1 and CGKENYA, and M-Chiota = CGZIM and CGUZG1. Across FFSs, significantly (p 0.001) higher preference ranks were in the following order: CGMRGP-Marondera CGMRG1 CGNPGRC355 CGKENYA.Contribution: These genotypes can be utilised for future genetic improvement, seed production and variety release.

Applying a Comprehensive Model for Single-Ring Infiltration: Assessment of Temporal Changes in Saturated Hydraulic Conductivity and Physical Soil Properties

Modeling agricultural systems, from the point of view of saving and optimizing water, is a challenging task, because it may require multiple soil physical and hydraulic measurements to investigate the entire crop cycle. The Beerkan method was proposed as a quick and easy approach to estimate the saturated soil hydraulic conductivity, Ks. In this study, a new complete three-dimensional model for Beerkan experiments recently proposed was used. It consists of thirteen different calculation approaches that differ in estimating the macroscopic capillary length, initial (θi) and saturated (θs) soil water contents, use transient or steady-state infiltration data, and different fitting methods to transient data. A steady-state version of the simplified method based on a Beerkan infiltration run (SSBI) was used as the benchmark. Measurements were carried out on five sampling dates during a single growing season (from November to June) in a long-term experiment in which two soil management systems were compared, i.e., minimum tillage (MT) and no tillage (NT). The objectives of this work were (i) to test the proposed new model and calculation approaches under real field conditions, (ii) investigate the impact of MT and NT on soil properties, and (iii) obtain information on the seasonal variability of Ks and other main soil physical properties (θi, soil bulk density, ρb, and water retention curve) under MT and NT. The results showed that the model always overestimated Ks compared to SSBI. Indeed, the estimated Ks differed by a factor of 11 when the most data demanding (A1) approach was considered by a factor of 4–8, depending on the transient or steady-state phase use, when A3 was considered and by a practically negligible factor of 1.0–1.9 with A4. A relatively higher seasonal variability was detected for θi at the MT than NT system. Under both MT and NT, ρb did not change between November and April but increased significantly until the end of the season. The selected calculation approaches provided substantially coherent information on Ks seasonal evolution. Regardless of the approach, the results showed a temporal stability of Ks at least from early April to June under NT; conversely, the MT system was, overall, more affected by temporal changes with a relative stability at the beginning and middle of the season. These findings suggest that a common sampling time for determining Ks could be set at early spring. Soil management affected the soil properties, because the NT system was significantly wetter and more compact than MT on four out of five dates. However, only NT showed a significantly increasing correlation between Ks and the modal pore diameter, suggesting the presence of a relatively smaller and better interconnected pore network in the no-tilled soil. This study confirms the need to test infiltration models under real field conditions to evaluate their pros and cons. The Beerkan method was effective for intensive soil sampling and accurate field investigations on the temporal variability of Ks.

Seabird attacks contribute to calf mortality in a whale population

Reports of seabirds attacking marine mammals have become frequent in the 2000s. Southern right whales Eubalaena australis off Península Valdés (PV), Argentina, have suffered the effects of micropredation by kelp gulls Larus dominicanus since at least the 1970s. During 2003-2013, this population experienced 9 yr of unprecedented high calf mortality. Using a 25 yr dataset (1995-2019) of focal follows of gull-whale interactions, we studied long-term changes in gull attack intensity (attacks h-1) and frequency, and explored whether they influenced calf mortality. We also asked whether calf mortality was affected by prey density at maternal feeding grounds during gestation. Applying Bayesian models, we found that the intensity and frequency of attacks increased significantly from 1995 to the 2000s, and that in 2004-2019, calves received 2.85 times as many attacks as did mothers. Moreover, attacks significantly contributed to increase the probability of calves dying, such that a year with average overall harassment had 2.26 times the mortality of a hypothetical year with no attacks. In years of high intensity and frequency of attacks, many older calves died near the end of the season, probably reflecting the cumulative effect of gull harassment on calf health. However, calf mortality was not affected by prey density, and extremely high mortality was not related to extremely high frequency or intensity of attacks, indicating that deaths are also influenced by other unidentified factors. These findings imply that chronic micropredation contributed to the unprecedented high calf mortality observed in PV and that other marine mammal populations experiencing seabird attacks could be threatened.

Значение предшественников и минерального питания в формировании урожайности и качества ярового ячменя в Пермском крае

Abstract. The purpose is to evaluate the influence of previous culture and mineral nutrition on the yield and quality of grain and seeds of spring barley in the conditions of the Middle Urals. Methods. The research was conducted at the Perm Agricultural Research Institute (a branch of the Perm Federal Research Center of the Ural Branch of the Russian Academy of Sciences) over the period 2021–2023 on sod-podzolic heavy loam soil. A two-factor field experiment with different previous culture and mineral nutrition backgrounds was carried out. Data were processed using B. A. Dospekhov’s methods, and grain quality was determined using standard techniques. Results. The limiting factor affecting plant growth and productivity is soil moisture, which influences both the size and quality of crops. Studies have shown that the soil under vetch-oat mixtures had the highest level of productive moisture at the start of the growing season. However, by the end of the season, the highest level was found under clover. During the research period, the most significant decrease in soil moisture was observed after barley, possibly due to the smaller surface area covered by this crop. The study of barley seed germination showed that they met the required standards. Seeds grown after vetch-oat had the best germination rate (95 %), while those preceding barley had the worst (92 %). This suggests that choosing the right precursor and providing optimal nutrition can lead to increased yield and improved grain quality. The yield of barley can vary widely, ranging from 1.06 to 3.77 tons per hectare. The study results show that using vetch-oat as a precursor can provide the best indicators for barley yield and quality. The optimal combination of precursor and mineral nutrient background can significantly improve the efficiency of barley production in agriculture. Scientific novelty: The complex effect of fertilizers and precursor substances on the formation of barley productivity and quality is being studied in the Perm region for the first time. The methods of barley management and quality control studied allow for obtaining highly productive seeds and achieving the planned yield.

Improving flu vaccination rates among adult patients with cancer at Kaiser Permanente.

326 Background: Vaccines protect cancer patients from developing severe illness, hospitalization, and death. At Kaiser Permanente (KP) South Sacramento Medical Center (KPSSC), oncology patients on active chemotherapy had an overall flu vaccination rate of 13% between September 1, 2022, and December 1, 2022. Our aim was to increase this rate to 33% during the 2023 flu season. Methods: In conjunction with the ASCO Quality Training Program, we applied quality improvement initiatives to improve flu vaccination. Our population of interest included adult cancer patients on active chemotherapy at KPSCC. We evaluated the barriers to vaccination assessment by distributing surveys to infusion nurses. We performed three Plan-Do-Study-Act (PDSA) cycles for quality improvement and monitored flu vaccination rates. Cycle 1 (9/11/2023 to 11/5/2023): We distributed the ASCO flu vaccine handout at oncology clinic. We had medical assistants and infusion nurses administer flu vaccines during clinic visits and chemotherapy sessions. Cycle 2 (11/6/2023 to 11/21/2023): We added the vaccine handout in Chinese and Spanish and updated our receptionists’ script to strongly encourage patients to receive flu vaccine. Cycle 3 (11/22/2023 to 12/6/2023): KP flu clinic set up an onsite flu vaccine cart one half day per week in the oncology clinic. Results: Barriers to vaccination assessment in the clinic included lack of time (60%), difficulty remembering to ask (10%), and non-influenza season (10%). Our interventions resulted in an increased flu vaccination rate from 13% in 2022 to 36% in 2023. During cycle 1, 298 out of 615 patients received their vaccine (48.5%). During cycle 2, 16 out of 118 patients received their vaccine (13.6%). PDSA cycle 3 resulted in 14 out of 178 patients receiving their vaccine (7.9%). Conclusions: Promoting vaccine awareness via active engagement with nurses and medical assistants early on and having onsite vaccine availability in the oncology clinic were keys to improve the overall flu vaccination rate. While most vaccines were administered at the beginning of flu season, the addition of language-tailored vaccine handouts and having an onsite vaccine cart towards the end of the season did result in late season vaccinations. Our findings do support the importance of providing timely vaccine information in the oncology clinic. Our future goal is to expand these efforts to other KP Northern California oncology centers to establish stable onsite vaccine availability in clinics and include additional vaccine types.

Pollinator behaviour and prevalence of the anther smut Antherospora vindobonensis in its host, the Hungarian two-leaf squill (Scilla vindobonensis).

Anther smuts are fungal diseases that have detrimental effects on the biology of their host plants. We investigated the transmission of Anther smut Antherospora vindobonensis to its host, Scilla vindobonensis under natural and laboratory conditions. Plants flowering early in spring were less vulnerable to disease (∼ 20-30% of plants which appeared early in the season were diseased) than flowers that bloom at the end of the season (∼ 60% of plants which appeared late in the season were diseased) which contradicts the patterns observed for other anther smuts species. Diseased plants showed thicker stems, lower nectar production and smaller flower radius than healthy plants. The disease prevalence in S. vindobonensis was not influenced by plant density. The production of spores in diseased flowers was 125 times higher than the production of pollen in healthy flowers. The number of pollen grains attached to pollinator bodies from healthy plants under controlled conditions was similar to the number of spores attached from diseased plants. Experienced honeybees in the field showed almost identical preferences for healthy plants (65%) over diseased ones, as did naïve bumblebees under controlled laboratory conditions (69%). eDNA metabarcoding revealed that healthy flowers attracted a significantly higher number of arthropod species (M = 6.23, SE = 1.48) than diseased flowers (M = 2.32, SE = 0.31). Strong seasonal differences in the risk of infection suggest that S. vindobonensis solves the trade-off between low pollinator availability and low risk of infection at the beginning of the season and high risk of infection and high pollinator availability at the end of season. By reproducing early in the season, plants can reduce the risk of disease.

A new injury prevention program ‘FUNBALL’ improves cognitive performance of young football (soccer) players: A cluster randomized controlled trial

The youth football injury prevention program ‘FUNBALL’ contains exercises requiring high cognitive demands, which are performed concurrently to the training of the respective motor task. This study evaluates whether the program increases cognitive performances of young football players.1253 football players (aged 13–19 years old) were randomly assigned to either a control (CON) or an intervention (INT) group. The INT group performed the ‘FUNBALL’ program at least twice per week in their training sessions for one season (9 months). The CON group continued their training routine. From the total sample, the cognitive performance of 304 players (n = 135 CON; n = 169 INT) was assessed at the beginning and the end of the season using the Cogstate® Brief Battery, with the following subtests: One Back test (accuracy), Two Back test (accuracy), One Card Learning test (accuracy), Chase Test (correct moves per second), Set Shifting (accuracy), Identification test (speed), Detection test (speed), Groton Maze Learning Test (accuracy), and Groton Maze Learning Test Delayed Recall (accuracy).A multivariate analysis of variance (MANOVA) on the cognitive performance improvements from pre-to posttest showed that the INT group improved their performances more strongly than the CON group for all cognitive tests, namely for working memory, visual learning, visual motor control, attention, psychomotor function, memory, and executive function.The present study indicates that the exercise-based injury prevention program ‘FUNBALL’ may improve the cognitive performance of young football players. Future research should include an active control group, and should investigate whether the improvement in cognition also has beneficial effects on in-game performance. Trial registration numberAsPredicted (https://aspredicted.org/2kb3b.pdf).

Comparison of two implementation strategies for anterior cruciate ligament injury prevention in amateur girls’ youth soccer: a prospective cohort study

ObjectivesTo compare two implementation strategies, an educational handout and a knowledge-to-action (KTA) intervention, for promoting anterior cruciate ligament (ACL) injury prevention programme (ACL-IPP) implementation in amateur youth girls’ soccer. The...

Effects of Mulching and Flaming on Weed Control and Almond Growth in a Newly Established Almond Orchard

This study was conducted in a newly established (2-year-old) almond orchard to investigate the effects of five different mulching materials (woven and nonwoven fabric, black and white polyethylene, almond shell) and flame treatments applied at two different frequencies (FL20 and FL30) on weed control and almond growth compared with those of conventional herbicide (glyphosate) application and weedy control. Thus, this study included nine different treatments. The impacts of these treatments on weed density and coverage were periodically monitored. Additionally, the biomass of the weeds was measured at the end of the season to evaluate the effects of the treatments. Because the almond orchard was not yet in the economic fruit-bearing stage, the effects of the treatments were examined in terms of parameters that characterize almond growth, such as plant height, trunk diameter, shoot length, and shoot thickness. The chlorophyll content and water potential values of the trees were also determined. The results of this two-season study indicated that synthetic mulches provided the best outcomes in terms of weed control and almond growth. No weed emergence was observed throughout the season in any of the synthetic mulch treatments. Although almond shells used as organic mulch were highly effective for blocking sunlight, they failed to prevent the growth of some vigorously growing perennials such as Cynodon dactylon and Sorghum halepense that emerged from gaps. Flame treatments demonstrated rapid and effective results; however, they were less successful against the aforementioned monocot perennial weeds and required frequent repetition because of the lack of residual effects. Glyphosate, an herbicide that is commonly used in conventional orcharding, was applied five times throughout the experiment and proved effective weed management compared with that of the weedy control. However, considering the increasing herbicide resistance, environmental and health issues, and growing interest in organic almond cultivation, synthetic mulch applications have emerged as good options. Despite the initially higher establishment costs, synthetic mulches effectively controlled weeds and reduced water stress, thereby promoting almond tree growth.

Towards Optimising the Derivation of Phenological Phases of Different Crop Types over Germany Using Satellite Image Time Series

Operational crop monitoring applications, including crop type mapping, condition monitoring, and yield estimation, would benefit from the ability to robustly detect and map crop phenology measures related to the crop calendar and management activities like emergence, stem elongation, and harvest timing. However, this has proven to be challenging due to two main issues: first, the lack of optimised approaches for accurate crop phenology retrievals, and second, the cloud cover during the crop growth period, which hampers the use of optical data. Hence, in the current study, we outline a novel calibration procedure that optimises the settings to produce high-quality NDVI time series as well as the thresholds for retrieving the start of the season (SOS) and end of the season (EOS) of different crops, making them more comparable and related to ground crop phenological measures. As a first step, we introduce a new method, termed UE-WS, to reconstruct high-quality NDVI time series data by integrating a robust upper envelope detection technique with the Whittaker smoothing filter. The experimental results demonstrate that the new method can achieve satisfactory performance in reducing noise in the original NDVI time series and producing high-quality NDVI profiles. As a second step, a threshold optimisation approach was carried out for each phenophase of three crops (winter wheat, corn, and sugarbeet) using an optimisation framework, primarily leveraging the state-of-the-art hyperparameter optimization method (Optuna) by first narrowing down the search space for the threshold parameter and then applying a grid search to pinpoint the optimal value within this refined range. This process focused on minimising the error between the satellite-derived and observed days of the year (DOY) based on data from the German Meteorological Service (DWD) covering two years (2019–2020) and three federal states in Germany. The results of the calculation of the median of the temporal difference between the DOY observations of DWD phenology held out from a separate year (2021) and those derived from satellite data reveal that it typically ranged within ±10 days for almost all phenological phases. The validation results of the detection of dates of phenological phases against separate field-based phenological observations resulted in an RMSE of less than 10 days and an R-squared value of approximately 0.9 or greater. The findings demonstrate how optimising the thresholds required for deriving crop-specific phenophases using high-quality NDVI time series data could produce timely and spatially explicit phenological information at the field and crop levels.

Evaluation of pre-harvest fungicide treatments against Alternaria rot in California mandarins and occurrence of mutations associated with fungicide resistance

This study aimed to investigate the management of Alternaria rot in citrus by evaluating the efficacy of late-season fungicide programs in reducing latent infections and fruit drop. Furthermore, the occurrence of mutations conferring resistance to QoI and SDHI fungicides within an Alternaria population isolated from citrus was investigated. In field trials, high frequencies of Alternaria infections were observed on the stem end and stylar end of Satsuma and Shiranui mandarins, with a higher prevalence of stem-end infections. Fungicide treatments applied towards the end of the season effectively reduced the frequency of latent infections on the stem end, indicating that such infections occur during this period under specific conditions. While some fungicide treatments demonstrated efficacy in reducing fruit drop caused by Alternaria rot, the results varied across different orchards and years. Latent infections on fruits persisted at high frequencies in the majority of trials, highlighting the complex nature of disease management. Mutations associated with resistance against QoI and SDHI fungicides were identified within the Alternaria population affecting California citrus. Our study suggests the potential need for fungicide sprays at the onset of the season to reduce the frequency of Alternaria infections on the stem end and stylar end of fruits. However, the observed non-correlation or low correlation between latent infections and fruit drop indicates that latent infections alone cannot reliably predict fruit drop. Our findings indicate that pre-harvest fungicide treatments have inconsistent efficacy and are cost-effective only during unpredictable disease outbreaks.

Changes in Physical Fitness, Muscle Damage and Cognitive Function in Elite Rugby Players over a Season.

This study proposes to monitor the physical, immune and cognitive responses and adaptations of elite rugby players throughout the season based on the loads performed. Anthropometric measurements, physical fitness tests (e.g., muscle strength and power, linear and change-of-direction speed, cardiorespiratory fitness) and analyses of serum concentrations of markers of muscle damage (creatine kinase [CK] and lactate dehydrogenase [LDH]) and brain-derived neurotrophic factor (BDNF) were carried out over a sporting season (24 weeks) for 17 elite rugby players (10 forwards and 7 backs) aged 18.91 ± 0.76 years. The physical fitness test results show improvements in the performance of both forwards and backs over the season (p < 0.05), with an advantage for backs compared with forwards in most tests (p < 0.05). Muscle damage markers decreased at the end of the season compared with the baseline levels for forwards (p < 0.05). CK levels were unchanged for the backs, but there were increased LDH concentrations at the end of the season compared with baseline (p < 0.05). Serum BDNF levels decreased for the total group between the second and third sampling (p < 0.05). The muscular and physical capacities of rugby players differ according to their playing position. Immune responses and adaptations, as well as BDNF levels, vary throughout the season and depend on the physical load performed.

Body mass changes of dabbling and diving ducks wintering in California

AbstractBird body mass is often used as an index of body condition and fluctuates throughout the year in response to environmental conditions and avian life‐history events. We examined the body mass of 59,572 ducks representing 13 species (7 dabbling duck species and 6 diving duck species) harvested within the 3 regions of the Central Valley in California, USA (Sacramento Valley, Suisun Marsh, San Joaquin Valley). Data collection occurred in winter during 5 hunting seasons (2014–2015, 2015–2016, 2017–2018, 2018–2019, 2019–2020). For all species, age, and sex classes, the body mass of dabbling ducks varied temporally and was lowest at the end of the hunting season in late January, declining from the beginning of the hunting season in mid‐October (northern pintail [Anas acuta]: −11.4% to −20.4%; northern shoveler [Spatula clypeata]: −3.5% to −17.3%; cinnamon teal [Anas cyanoptera]: −5.0% to −17.1%; American wigeon [Mareca americana]: −6.9% to −12.2%; American green‐winged teal [Anas carolinensis]: −5.9% to −11.9%; mallard [Anas platyrhynchos]: −1.8% to −9.6%; gadwall [Mareca strepera]: −2.2% to −8.4%). As expected, adults (after hatch‐year) were heavier than immature (hatch‐year) birds (within males: 0.6–8.6%; within females: 0.1–6.6%) and males were heavier than females (within adults: 3.1–38.6%; within immatures: 5.4–33.5%) at the end of the hunting season in all species. Within dabbling duck species, body masses did not differ among regions at the beginning of the hunting season but were heavier in the Sacramento Valley (0.5–14.4%) than other areas by the end of the hunting season. In contrast, body masses of diving ducks did not vary substantially during the hunting season or among regions. Diving ducks demonstrated inconsistent changes in mass from the beginning to the end of the season (lesser scaup [Aythya affinis]: 3.4% to 12.3%; canvasback [Aythya valisineria]: 5.1% to 6.1%; bufflehead [Bucephala albeola]: −3.2% to 1.6%; ring‐necked duck [Aythya collaris]: −4.9% to 2.6%; common goldeneye [Bucephala clangula]: −3.2% to −2.4%; ruddy duck [Oxyura jamaicensis]: −16.5% to 5.5%). The substantial temporal and spatial differences in dabbling duck body masses suggest that habitat quality (as measured by caloric value of the available food) or quantity may decline during winter and varies regionally within California's Central Valley.