Significant Variation Research Articles

Interannual Monitoring of Cropland in South China from 1991 to 2020 Based on the Combination of Deep Learning and the LandTrendr Algorithm

Timely and accurate acquisition of spatial distribution and changes in cropland is of significant importance for food security and ecological preservation. Most studies that monitor long-term changes in cropland tend to overlook the rationality in the process of cropland evolution, and there are conflicts between the interannual cropland data, so they cannot be used to analyze land use change. This study focuses on the rationality of annual identification results for cropland, considering the long-term evolution and short-term variations influenced by natural environmental changes and human activities. An approach for annual monitoring of cropland based on long time series and deep learning is also proposed. We acquired imagery related to cropland’s vegetation lush period (VLP) and vegetation differential period (VDP) from Landsat images on the Google Earth Engine (GEE) platform and used the ResUNet-a structural model for training. Finally, a long-time-series cropland correction algorithm based on LandTrendr is introduced, and interannual cropland maps of Guangdong Province from 1991 to 2020 were generated. Evaluating the cropland monitoring results in Guangdong Province every five years, we found an overall accuracy of 0.91–0.93 and a kappa coefficient of 0.80–0.83. Our results demonstrate good consistency with agricultural statistical data. Over the past 30 years, the total cropland area in Guangdong Province has undergone three phases: a decrease, significant decrease, and stabilization. Significant regional variations have also been observed. Our approach can be applied to long-time-series interannual cropland monitoring in the southern regions of China, providing valuable data support for the further implementation of cropland protection.

Evolutionary dynamics of genome size and transposable elements in crickets (Ensifera: Gryllidea)

AbstractOrthoptera species are characterised by their expansive genomes. However, crickets, the third largest group of this order, have notably smaller genomes than grasshoppers or katydids. The evolutionary drivers behind these differences in genome size (GS) remain largely uncharted. In our study involving 56 cricket species, we assessed GS using flow cytometry and assembled 43 novel mitochondrial genomes for phylogenetic analysis. Model fitting indicated that GS generally conformed to an Ornstein‐Uhlenbeck adaptive evolutionary model, displaying a 5.1‐fold range of variation in GS, from 0.82 pg in Myrmecophilus quadrispina Perkins to 4.68 pg in Ornebius formosanus Shiraki. Remarkably, despite such variations, no significant trends in genome contraction or expansion were detected, suggesting an adaptive stabilisation. We found strong evidence that expansions of repeat elements, particularly transposable elements (TEs), are key drivers of the large GS in crickets. Across the 56 cricket species analysed, TE content exhibited substantial variability, spanning from a mere 3.63% to a pronounced 31.22%. Clades exhibiting significant GS or TE variations, such as mole crickets (Gryllotalpidae), ant‐loving crickets (Myrmecophilidae) and scaly crickets (Mogoplistidae), are often observed at basal phylogenetic nodes and exhibit distinct ecological niches and morphological divergences. This implies that cricket genomes undergo early mutations and stabilise throughout evolution. Our findings shed light on common patterns and uncover lineage‐specific differences in content and evolution of TEs in crickets. We anticipate that our study will provide a foundation for future comparative research on the insect TE repertoire.

Effects of Sex and Western Diet on Spatial Lipidomic Profiles for the Hippocampus, Cortex, and Corpus Callosum in Mice Using MALDI MSI.

Diet is inextricably linked to human health and biological functionality. Reduced cognitive function among other health issues has been correlated with a western diet (WD) in mouse models, indicating that increases in neurodegeneration could be fueled in part by a poor diet. In this study, we use matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) to spatially map the lipidomic profiles of male and female mice that were fed a high-fat, high-sucrose WD for a period of 7 weeks. Our findings concluded that the cortex and corpus callosum showed significant lipid variation by WD in female mice, while there was little to no variation in the hippocampus, regardless of sex. On the other hand, lipid profiles were significantly affected by sex in all regions. Overall, 83 lipids were putatively identified in the mouse brain; among them, HexCer(40:1;O3) and PE(34:0) were found to have the largest statistical difference based on diet for female mice in the cortex and corpus callosum, respectively. Additional lipid changes are noted and can serve as a metric for understanding the brain's metabolomic response to changes in diet, particularly as it relates to disease.

In Situ Accumulation of CaOx Crystals in C. quitensis Leaves and Its Relationship with Anatomy and Gas Exchange

The accumulation of crystal calcium oxalate (CaOx) in plants is linked to a type of stress-induced photosynthesis termed ‘alarm photosynthesis’, serving as a carbon reservoir when carbon dioxide (CO2) exchange is constrained. Colobanthus quitensis is an extremophyte found from southern Mexico to Antarctica, which thrives in high-altitude Andean regions. Growing under common garden conditions, C. quitensis from different latitudinal provenances display significant variations in CaOx crystal accumulation. This raises the following questions: are these differences maintained under natural conditions? And is the CaOx accumulation related to mesophyll conductance (gm) and net photosynthesis (AN) performed in situ? It is hypothesized that in provenances with lower gm, C. quitensis will exhibit an increase in the use of CaOx crystals, resulting in reduced crystal leaf abundance. Plants from Central Chile (33°), Patagonia (51°), and Antarctica (62°) were measured in situ and sampled to determine gas exchange and CaOx crystal accumulation, respectively. Both AN and gm decrease towards higher latitudes, correlating with increases in leaf mass area and leaf density. The crystal accumulation decreases at higher latitudes, correlating positively with AN and gm. Thus, in provenances where environmental conditions induce more xeric traits, the CO2 availability for photosynthesis decreases, making the activation of alarm photosynthesis feasible as an internal source of CO2.

Can Anatomical Differences Contribute to the Etiology of Danis-Weber Type B Lateral Malleolus Fractures?

Introduction Lateral malleolus fractures are among the most common ankle fractures, but the anatomical factors that may predispose individuals to this specific type of fracture are not fully understood. This study aims to explore whether distinct anatomical characteristics of the ankle joint contribute to an increased susceptibility to lateral malleolar fractures. Methods A retrospective analysis was conducted on 73 patients diagnosed with isolated lateral malleolar fractures between 2020 and 2023. An array of radiologic parameters, including distal tibial articular surface (DTAS) angle, bimalleolar tilt (BMT), medial malleolar length (MML), lateral malleolar length (LML), medial malleolar relative length (MMRL), lateral malleolar relative length (LMRL), medial malleolar slip angle (MMSA), talocrural angle (TCA), anterior inclination of the tibia (AI), and fibular position (FP), were meticulously measured on anteroposterior and lateral ankle radiographs for each study participant. We also measured the same parameters in 126 individuals who had not experienced an ankle fracture for comparison. Results Statistically significant differences were observed between the fracture group and the control group for DTAS angle, BMT, MML, MMRL, LMRL, TCA, AI, and FP (p<.05). Conversely, LML and MMSA displayed no significant variations between the two groups (p=0.745 and p=0.623). Effect sizes were notably large for DTAS and TCA, medium for MMRL, BMT, and AI, and small for LMRL, MML, and FP. Conclusion Our findings indicate an increased risk of lateral malleolus fractures in individuals with a relatively longer medial malleolus, a valgus-oriented ankle, reduced anterior inclination of the tibia, and an anteriorly positioned fibula. Taking protective measures during risky activities in individuals with these differences may help to prevent fractures.

INTEGRATION OF DEEP LEARNING MODELS FOR VEHICLE COUNTING: TOWARDS OPTIMIZED PLANNING OF URBAN CHARGING INFRASTRUCTURES

Abstract. Amidst the rising prevalence of electric vehicles (EV) and the corresponding need for adequate charging infrastructures, this study presents an innovative application of deep learning models to analyze urban traffic. Utilizing the YOLO v3 model, our research focuses on developing a prototype for counting vehicles at an urban roundabout connecting three main roads, providing essential data for planning EV charging infrastructures. This work involves adapting and optimizing the YOLO v3 model to accurately identify and count vehicles passing through the roundabout. The aim is to measure traffic volume and identify circulation trends, which are crucial for understanding the spatial and temporal distribution of vehicles. The collected data not only estimate the number of EVs likely to traverse this area but also predict the needs for charging infrastructure in and around this specific roundabout. Our prototype demonstrated high accuracy in vehicle counting, allowing detailed analysis of traffic patterns at different times of the day. This analysis reveals significant variations in traffic flows, providing valuable insights into the most suitable times and locations for installing EV charging stations. While this study focuses on a single roundabout, it establishes a precedent for using advanced deep learning techniques in assessing EV charging infrastructure needs in broader urban contexts. The results suggest that such methods can be extended to other urban areas for more comprehensive and effective planning of EV charging infrastructures, thus contributing to more sustainable and intelligent urban mobility management.

Humanistic burden of mucopolysaccharidoses: a systematic literature review

Objective To systematically review the literature and summarize the health-related quality-of-life (HRQoL) of patients undergoing treatment for mucopolysaccharidoses (MPS), a rare, hereditary lysosomal storage disorder. Methods A systematic review was performed in accordance with PRISMA guidelines to identify research studies that describe the humanistic burden of MPS. A comprehensive literature search was conducted in EMBASE, MEDLINE, and eligible conferences were screened to include applicable abstracts. Results Of 870 identified articles, 15 studies reported the HRQoL burden of patients with MPS undergoing or with a history of ERT and/or HSCT. These studies include patients of MPS I (n = 2), MPS II (n = 4), MPS IV (n = 6), MPS VI (n = 1), and subtype not mentioned (n = 2). Although the quality-of-life of MPS patients is influenced by time of diagnosis, pain, cognitive involvement, severity of disease, mobility, dependence, and time of treatment initiation, the HRQoL scores of MPS patients across all the scales were below the median reference population scores across all dimensions. This is seen in comparison to healthy participants but also in comparison to patients with other chronic illnesses. The multi-organ involvement, neurological impairment, pain, and morbidity associated with the condition not only affects activity of daily living but also affects social functioning, emotional status, employment status among adults, and school functioning among children. Conclusions This systematic literature review revealed the substantial humanistic burden of individuals affected by MPS as well as caregivers. Significant variation in HRQoL scores was observed, however studies indicate that the quality-of-life of MPS patients is influenced primarily by severity of disease (MPS type and phenotype), and then by time of diagnosis, pain, cognitive involvement, mobility, dependence, and time of treatment initiation. Further studies are needed to assess the global humanistic burden of MPS, particularly in MPS III, VI, VII, and IX subtypes, in adults, and for a longer follow-up period. Considering the vast array of HRQoL assessment tools available and used in this study, researchers should also consider using scales with condition-specific measures to ensure appropriate estimates of effectiveness.

Adaptive Equivalent Factor-Based Energy Management Strategy for Plug-In Hybrid Electric Buses Considering Passenger Load Variations

Energy management strategies (EMSs) are one of the key technologies for the development of plug-in hybrid electric buses (PHEBs). This paper addresses the issue of optimal energy distribution for PHEBs under significant variations in passenger load at different bus stations, which cannot be solved by a single equivalent factor equivalent fuel consumption minimization energy management strategy (ECMS). An adaptive equivalent factor equivalent fuel consumption minimization energy management strategy (A-ECMS) considering passenger load is proposed. First, the powertrain system of the PHEB is modeled, and the accuracy of the model is verified in a simulation environment. Then, the reference SOC descent trajectory of the battery is obtained using a dynamic programming (DP) algorithm, the recursive least squares (RLS) method is employed to identify the passenger load, and the influence of different loads on the state of charge (SOC) trajectory under a single equivalent factor is analyzed. Finally, a genetic algorithm (GA) is used to establish the correspondence between passenger load, bus station, and equivalent factor, enabling the actual SOC to follow the reference SOC descent trajectory, thereby achieving optimal energy distribution. Simulation results demonstrate that the A-ECMS reduces fuel consumption of the PHEB per 100 km by 2.59% and 10.10% compared to the ECMS and rule-based EMS, respectively, validating the effectiveness of the proposed strategy.

The Cranium I: Neurocranium.

The Sima de los Huesos (SH) site has provided a significant collection of hominin remains, including numerous cranial fragments, which have contributed to our understanding of the MP human population. The taxonomic classification of the SH hominins remains a topic of debate, with some studies suggesting a close relationship to Neandertals based on nuclear DNA analysis. The cranial morphology of the SH specimens exhibits a mix of Neandertal-like features and primitive traits observed in earlier Homo populations, providing insights into the evolutionary pattern of the Neanderthal lineage. This study focuses on the neurocranial traits of the SH population and describes three previously undescribed cranial individuals. The SH cranial collection now comprises 20 nearly complete crania, representing approximately two-thirds of the estimated population size. The analysis of the SH population reveals variations in robustness, frontal torus development, sagittal keeling, and occipital torus morphology, which may be related to sexual dimorphism and ontogenetic factors. The suprainiac region exhibits notable ontogenetic changes, while suture obliteration patterns do not strictly correlate with dental age. Metric measurements, particularly cranial breadths, highlight significant intrapopulation variation within the SH sample. Compared with other Middle Pleistocene (MP) hominins, the SH cranial vault displays archaic characteristics but differs from Homo erectus and Neandertals. The SH individuals have relatively short and tall cranial vaults, distinguishing them from other MP fossils. These findings contribute to our understanding of the MP human populations and their evolutionary trajectories.

Effect of Mesoporous Silica as a Solid Precursor on the Properties of Silicon Oxycarbide Thin Films via Hot Filament Chemical Vapor Deposition

AbstractThis study investigates the impact of mesoporous silica tablets on the synthesis and properties of silicon oxycarbide thin films produced via Hot Filament Chemical Vapor Deposition. Results reveal significant variations in composition and cluster morphology, influenced by the introduction of mesoporous silica tablets. The study demonstrates controlled deposition, consistent synthesis, and the substantial impact of mesoporous silica tablets on the composition, structure, and optical properties of thin films. These findings offer new possibilities for tailor design applications in electronics, optics, and sensors.

Variation in Phenolic Content, Antioxidant Activity and Alpha-amylase and Acetylcholinesterase Inhibitory Capacities of Different Extracts from Tunisian Satureja barceloi (Willk) L.

The antioxidant activity and the anti-α-amylase and anti-acetylcholinesterase capacities of secondary metabolites from different organs (roots, stems, leaves and flowers) of Tunisian Satureja barceloi were determined. The variation in the distribution of phenolic metabolites among roots, stems, leaves and flowers extracts of S. barceloi with various solvent systems (methanol, ethyl acetate, hexane and distilled water) has not been characterized before. Significant variation of phenolic compounds was observed according to organs rather than to extracting solvents. The analyzed organs show a high level of phenolic compounds although the stems contains the highest total polyphenols (132.53±0.48 mg AGE/g Ex), flavonoids (48.99±0.65 mg RE/g Ex) and flavonols (34.93±0.29 mg QE/g Ex) contents. The phenolic fraction was dominated by sagerinic acid, caffeic acid glucoside and epigallocatechin, detected using HPLC-PDA/ESI-MS. The antioxidant activity of all extracts, evaluated by four in vitro tests, was high and varied significantly according to the type of solvent used and the plant organ. The aqueous extracts of leaves exhibited the greatest inhibitory effect on alpha-amylase while the methanolic extract of leaves and stems revealed the most important acetylcholinesterase inhibitory effect. Hence, S. barceloi extracts could be used as a source of various bioactive molecules in pharmaceutical industry.

Democracy and Breach of Contract Risk: An Assessment of How Different Dimensions of Democracy Weigh on Postcolonial States

ABSTRACT This article compares different measures of democracy to determine how they impact breach of contract risk, especially in postcolonial states that are more likely to suffer from neopatrimonialism with their imported state apparatus. By demonstrating how the normative measure of democracy, which emphasises respect for civil liberties, is more impactful in reducing breach of contract risk than the procedural measure that emphasises institutions, this article highlights the nonoptimal consequences of institutionalised democratisation without the normative dimension. The main findings are that while there is significant variation between the normative and procedural measures of democracy, it is increases in the normative measure of democracy that better promote accountability and the rule of law, thereby more effectively reducing breach of contract risk. We conclude that democratic norms must parallel progress in democratic form so to enable better (lower) breach of contract risk.

Spatial variation in the rocky temperate benthic mesophotic communities of the Wellington region in New Zealand

ABSTRACT Temperate mesophotic ecosystems (TMEs) have only recently been recognised as distinct ecosystems and generally occur between 30 and 150 m at the limit of photosynthetic light penetration. In this study, we surveyed the benthic communities inhabiting rocky deep-water features in two regions at the south of New Zealand’s North Island to assess small (1–2 km) and larger (10–100 km) scale variation in the benthic communities they support: the Wellington South Coast (WSC) and the Kāpiti Coast (KC). We deployed Remotely Operated Vehicles at seventeen sites, three on the WSC and 14 on the KC, covering a depth range of 26 to 72 m. There was significant variation in the benthic community composition between sites, at both spatial scales, and with depth. Across all sites, sponges and bryozoans were by far the most abundant organisms, covering around 30% of the substrate, with all other groups having <5% cover. The sponges and bryozoans created complex three-dimensional structure on the seafloor, providing habitat and refuge for other mobile organisms. Our work provides an important baseline against which any future changes can be compared and will support future spatial management in this region.

Can critical care transport be safely reduced in children intubated during emergency management of status epilepticus in the United Kingdom: a national audit with case–control analysis

ObjectiveThis study describes the baseline clinical characteristics, predictors of successful extubation at referring hospitals and short-term outcomes of children intubated for status epilepticus and referred to United Kingdom (UK) paediatric...

Confounding effects of seasonality and anthropogenic river regulation on suspended particulate matter-driven mercury transport to coastal seas

Riverine mercury (Hg) is mainly transported to coastal areas in suspended particulate matter (SPM)-bound form, posing a potential threat to human health. Water discharge and SPM characteristics in rivers vary naturally with seasonality and can also be arbitrarily disrupted by anthropogenic regulation events, but their effects on Hg transport remain unresolved. Aiming to understand the confounding effects of seasonality and anthropogenic river regulation on Hg and SPM transport, this study selected the highly sediment-laden Yellow River as a representative conduit. Significant variations in SPM concentrations (108 − 7097 mg/L) resulted in fluctuations in total mercury (THg, 3.79 − 111 ng/L) in river water corresponding to seasonality and anthropogenic water/sediment regulation. Principal component analysis and structural equation model revealed that SPM was the essential factor controlling THg and particulate Hg (PHg) in river water. While SPM exhibited equilibrium state in the dry season, a net resuspension during the anthropogenic regulation and net deposition in the wet season demonstrated the impact of SPM dynamics on Hg distribution and transport to coastal regions. Combining water discharge, SPM, and Hg concentrations, a modified model was developed to quantify Hg flux (2256 kg), over 98% of which was in particulate phase.

Depth_ASPP_UNet++: a novel 2D ESPI phase unwrapping based on convolutional neural network

Phase unwrapping is a key step in optical metrology and physical optics to obtain accurate phase distributions. In practice, phase images obtained from electronic speckle pattern interferometry (ESPI) exhibit diverse and complex morphology, with significant shape variations and non-uniform densities among different individuals. This takes challenges for accurately extracting phase information and unwrapping the phase. With the progress of deep learning technology in optical image processing, real-time performance and accuracy have become concerned issues. In this paper, an ESPI phase unwrapping method based on convolutional neural network UNet++ is proposed. The proposed network combines the depthwise separable convolution (DSC), atrous spatial pyramid pooling (ASPP), defined as Depth_ASPP_UNet++. In this model, the use of DSC improves network computational efficiency and provides better feature representation capability. In addition, ASPP is introduced to pay more attention to the phase information of the phase image, and then obtain better phase unwrapping results. The experimental results show that our proposed method can obtain excellent results, especially with various of variable density, different noise levels, and different speckle sizes.

Daytime variation in the aerosol indirect effect for warm marine boundary layer clouds in the eastern North Atlantic

Abstract. Warm boundary layer clouds in the eastern North Atlantic region exhibit significant diurnal variations in cloud properties. However, the diurnal cycle of the aerosol indirect effect (AIE) for these clouds remains poorly understood. This study takes advantage of recent advancements in the spatial resolution of geostationary satellites to explore the daytime variation in the AIE by estimating the cloud susceptibilities to changes in cloud droplet number concentration (Nd). Cloud retrievals for the month of July over 4 years (2018–2021) from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on Meteosat-11 over this region are analyzed. Our results reveal a significant “U-shaped” daytime cycle in susceptibilities of the cloud liquid water path (LWP), cloud albedo, and cloud fraction. Clouds are found to be more susceptible to Nd perturbations at noon and less susceptible in the morning and evening. The magnitude and sign of cloud susceptibilities depend heavily on the cloud state defined by cloud LWP and precipitation conditions. Non-precipitating thin clouds account for 44 % of all warm boundary layer clouds in July, and they contribute the most to the observed daytime variation. Non-precipitating thick clouds are the least frequent cloud state (10 %), and they exhibit more negative LWP and albedo susceptibilities compared to thin clouds. Precipitating clouds are the dominant cloud state (46 %), but their cloud susceptibilities show minimal variation throughout the day. We find evidence that the daytime variation in LWP and albedo susceptibilities for non-precipitating clouds is influenced by a combination of the diurnal transition between non-precipitating thick and thin clouds and the “lagged” cloud responses to Nd perturbations. The daytime variation in cloud fraction susceptibility for non-precipitating thick clouds can be attributed to the daytime variation in cloud morphology (e.g., overcast or broken). The dissipation and development of clouds do not adequately explain the observed variation in cloud susceptibilities. Additionally, daytime variation in cloud susceptibility is primarily driven by variation in the intensity of cloud response rather than the frequency of occurrence of cloud states. Our results imply that polar-orbiting satellites with an overpass time at 13:30 LT underestimate daytime mean values of cloud susceptibility, as they observe susceptibility daily minima in the study region.

Shortest-path ray tracing on self-adapting random grids

SUMMARY A new ray tracing algorithm based on the shortest path method was designed and optimized to model seismic rays. The workflow is based on Dijkstra’s algorithm to find the shortest path iteratively on self-adapting random grids. These random grids adapt from one iteration to the next, storing in memory those nodes that minimize the traveltime in each iteration, consequently automatically densifying the grid in areas with significant velocity variations. Different data structures and grid geometries were studied, and it was confirmed that using a combination of a binary heap and random grids prevents systematic errors generated by using regular grids while keeping the computational times low. Since the nodes that minimize the traveltime are stored in each iteration, the memory requirements increase logarithmically, with the initial iterations having the most significant impact on the error minimization but plateauing afterwards. It was found that, albeit this increase in memory requirements, by focusing the densification of nodes in areas close to the actual trajectory of the rays, the error minimization requires fewer iterations than other implementations based on multiple realizations of random grids (requiring less than a tenth of the number of iteration of other methods). A function to handle extreme topographic variations was also designed, which uses a boolean test to reject rays crossing the topography, making the algorithm suitable for first arrival modelling in complex topography areas, such as the required for tomographic inversion of first arrivals in thrust-belt land seismic.

Amphibian and reptile diversity in natural landscapes and human-modified habitats of the Sahara Desert of Algeria: A better understanding of biodiversity to improve conservation

The spatial and seasonal variations in amphibian and reptile diversity were studied in different biotopes (lowlands, desert pavements “Reg,” Sabkhas “salt lakes,” date palm groves, wadis, and urban sites) at the Algerian Sahara Desert. No prior research has explored the connection between the distribution of reptiles and amphibians in Algeria’s Sahara and the environmental diversity of biotopes and landscapes. This study aimed to address this significant knowledge gap by investigating the relationships between Saharan habitats and landscapes and their impact on herpetofaunal presence, abundance, and diversity. The diversity of amphibians and reptiles was assessed based on quantitative data of species captures using nonparametric diversity indices, species richness accumulation curves, and similarity analysis. At the Region of Oued Righ (Northern Sahara Desert), we identified 3 amphibians, 19 lizards, and 10 ophidian species. These 32 species (approximately 30% of the Algerian herpetofauna) were classified into 2 orders (Anura and Squamata), 15 families, and 23 different genera. The study area included 8 protected species in Algeria and 9 endemic species to the Mediterranean region, including 1 amphibian and 7 species of reptiles. Acanthodactylus dumerilii was the most abundant species (20.5% of the total), whereas Chalcides ocellatus occurred in 32.9% of specimens. The highest values of species richness were recorded in palm groves with 22 species and Shannon’s diversity index (H’) was 3.5, whereas the lowest values were obtained in Sabkhas (5 species) and urban sites (7 species). The number of individuals experienced significant variations between study biotopes and seasons. Overall, species richness estimators (Chao2 and Jackknife1) revealed that the current survey achieved 90% of inventory completeness. Estimates and interpolations of species richness showed higher values in urban sites, palm groves, desert pavements, and wadis compared to Sabkhas and lowlands where completeness ranged between 90% and 100%. The analysis of similarity indicated low similarity values (&amp;lt;50%) between biotopes studied. The highest similarities were noted between the mesic biotopes (Sabkhas, wadis, and palm groves), the xeric and undisturbed biotopes (desert pavements and lowlands), whereas urban sites showed a distinct herpetofaunal community that was completely different of that recorded in Sabkhas, wadis, and lowlands.

CORRELATION AND REGRESSION ANALYSIS IN DIFFERENT GENOTYPES OF SUNFLOWER (HELIANTHUS ANNUUS L.)

In 2017, a study at the Oil Seeds Research Section in Tandojam analyzed growth and yield across eight sunflower genotypes: Corolla, Melbour, Vulgare, Turkish, Samson-30, Sputnik, HO-1, and Parson. Using a randomized complete block design with three replications, significant variations were discovered in days to flowering and maturity, plant height, head diameter, number of seeds per head, seed yield, and seed index, emphasizing the distinct performance of each genotype. Advanced genotypes like Sputnik and HO-1 required more days to flower, with Parson and Sputnik showing the latest maturity. Turkish plants were notably taller, while Parson had the shortest stature. Parson and HO-1 stood out with larger head diameters and higher seed indexes, with Parson also leading in seed yield, suggesting their high breeding value. Positive correlations among various growth and yield parameters underscore the potential of these genotypes in breeding programs aimed at improving sunflower yields. This concise analysis highlights the diversity and breeding prospects within sunflower genotypes, offering valuable insights for future genetic improvement efforts.