Height Index Research Articles

The impact of physique on strategy and performance in the 400 m hurdles race among elite male athletes

Introduction: the objective of this study was to assess the impact of physique on the stride pattern and performance of elite male 400-m hurdles runners. Materials and Methods: this study is based on the analysis of the performance of 297 male 400-m hurdlers in 13 Olympic games, 16 world championships, and 15 European championships. The hurdlers were divided into 4 groups, based on their height and body mass index (BMI) – taller and heavier (TH), taller and lighter (TL), shorter and heavier (SH), and shorter and lighter (SL). Times taken to complete various phases of the 400-m hurdles race – H0-1 (from starting line to hurdle 1), H1-3 (from hurdle 1 to hurdle 3), H3-5, H6-8, H8-10, and H10-F (from hurdle 10 to the finishing line) – were noted. Similarly, the number of strides to complete 3 inter-hurdle phases (H1-4, H4-7, and H7-10) was recorded. Results: The technical index (TI = time for 400m hurdles run – time for 400m flat run) was the lowest in TH, followed by TL, SL, and SH. The stride number increased from H1-4 to H7-10. Taller hurdlers took fewer strides than shorter ones. Only 8.5% of the hurdlers followed a uniform stride number (13 or 15). Conclusions: the physique of elite 400-m men hurdlers can vary widely. Taller hurdlers fly over hurdles more efficiently; a uniform stride pattern is independent of height and BMI, and is followed by a few hurdlers only, and physique has a significant impact on running performance at a few phases of the 400-m hurdles run.

지표화피해지 산불피해목 생존예측을 위한 위성영상 지수의 적용성 검토

This study aimed to develop a comprehensive model for predicting fire-damaged pine tree survival and assess the usefulness of satellite imagery techniques. Logistic regression models were used to create integrated survival prediction models at two sites three years after fire damage. Diameter at breast height, char height index, and aspect were identified as key factors for survival prediction. The integrated model achieved a high accuracy level, with a predictive power of 82%. Remote sensing techniques were employed to estimate mortality rates at the stand level and identify relevant factors for survival prediction. Initial changes in dNBR, which showed a strong correlation with mortality rates, were found to be influential factors. While these factors could potentially improve the model as new indicators, clear trends under legend criteria were challenging to establish. High spatial and spectral resolution are necessary to enhance accuracy, along with classification categories specifically designed for fire-damaged areas.

Analysis of nasal parameters and nasal index of dry crania in Southern Nigeria

Background: Nasal index shows the ratio of the width to the height of the nasal skeleton. It is useful in forensic science, anthropology and clinical medicine. The aim of this study was to analyse the nasal parameters and nasal index of dry cranium in Southern Nigeria. Methods: Nasal height (ns-n) and nasal breadth (al-al) were measured with a Vernier caliper in 150 adult male crania in southeast and southsouth geopolitical regions of Nigeria. From these variables, nasal index was calculated as nasal breadth/nasal height x 100. Results: For the southeast region, the values of nasal aperture height, nasal breadth and nasal index were 52.4 (±5.1) mm, 27.6 (±2.7) mm and 53.0 (±5.4) respectively. For the southsouth region, the values of the nasal height, nasal breadth and nasal index were 49.8 (±3.1) mm, 26.9 (±4.2) mm and 54.1(±7.4) respectively. Nasal height was significantly higher in southeast region than in southsouth region. There was no significant difference in the nasal breadth and nasal index in the two regions. Conclusions: The crania in the southern part of Nigeria exhibit platyrrhine type of nasal index

Assessment of correlation and path analysis of hybrid rice parental lines in a multi-environment study (Oryza sativa L.)

Correlation and path analysis are useful selection aids for the plant breeder to understand the complex interactions among various factors that influence crop growth and yield. The data were collected from a diverse set of 150 genotypes, consisting of 129 restorers, 15 maintainers and 6 checks in three different environments (Kharif 2021@ICAR-IIRR, Hyderabad, Kharif, 2021@ Agricultural College, Tirupati and Rabi 21-22@ICAR-IIRR, Hyderabad) on 10 different component traits. The analysis included three data sets along with their pooled values. All of the component traits demonstrated a positive correlation with single plant yield, either significant or non-significantly in environment wise analysis as well as in the pooled analysis. The analysis revealed that certain traits, namely plant height, total number of tillers per plant, productive tillers per plant and spikelet fertility showed a significant positive correlation with single plant yield while the rest of the traits exhibited a positive non-significant correlation. Based on the results, plant height, biomass, and harvest index play a key role in determining final yield, as they have a strong positive correlation with single plant yield and exert positive direct effects on it. Therefore, prioritizing these traits during selection could be an effective approach for the indirect selection of increased grain yield.

Sex Differences in Albumin Quotient and Cerebrospinal Fluid Total Protein Content Do Not Depend on Anthropometric Factors.

(1) Background: Cerebrospinal fluid (CSF)/serum albumin quotient (QAlb) and CSF total protein (TP) are more elevated in males than females, and this has been hypothesised to be due to anthropometric differences between the sexes. This study aimed to investigate QAlb and CSF TP as a function of body height, weight, and body mass index (BMI). (2) Methods: A total of 207 patients were included in the study and analysed blinded to clinical diagnosis. (3) Results: Multivariable linear regressions were run to predict log-transformed Qalb and log-transformed CSF TP value from age, sex, weight, and height (first model) or from age, sex, and BMI (second model). In both models, age (β = 0.004, 95% CI = 0.002 to 0.006) and sex (β = -0.095, 95% CI = -0.169 to -0.021, and β = -0.135, 95% CI = -0.191 to -0.079) were significant predictors for QAlb, but weight, height, and BMI were not. Similarly, age (β = 0.004, 95% CI = 0.003 to 0.006) and sex (β = -0.077, 95% CI = -0.142 to -0.013, and β = -0.109, 95% CI = -0.157 to -0.060) were significant predictors for CSF TP, while anthropometric characteristics were not. No differences in QAlb and CSF TP were found when grouping males and females by BMI status. (4) Conclusions: Our data suggest that anthropometric characteristics could not explain the sex-related differences in QAlb and CSF TP.

Pinecone failure, hydrogel, fertilizer and volume of containers in the production of araucaria seedlings

The objective of this work was the evaluation of initial growth and quality of araucaria seedlings under the influence of alterations to different proprieties of the substrate. Four different experiments were installed, comparing volume of tubes, concentrations of controlled release fertilizer (FLC), proportion of crushed pinecone failures (substrate characteristics were also evaluated) and the effect of hydrogel concentrations in seedlings derived from different mother trees. The evaluations were carried out 10 months after sowing, varying according to the experiment, and were comprised of height, diameter, height/diameter ratio (h/d), survival rate and germination speed index. The seedlings developed inside the larger tubes (280 cm3) averaged higher in height, diameter and h/d ratio. The 6 g L-1 dose of fertilizer generated higher averages for all analyzed variables. The addition of pinecone failure to the substrate improved some physical attributes such as density, total porosity and aeration space, however it worsened the attributes related to water availability in the substrate. As for the growth of seedlings, the addition of pinecone failure did not change the height, diameter and h/d ratio. The use of hydrogel (3 g L-1 and 6 g L-1) generated better results for height. It is recommended the use of 180 cm³ tubes and 6 g L-1 of the contloed release fertilizer. Pinecone can be used in the substrate, as well as hydrogel as a additional resource.

Analysis of related factors for sarco-osteoporosis in middle-aged and elderly inpatients and development and validation of a nomogram

BackgroundSarco-osteoporosis is a skeletal muscle disease associated with aging and complex pathological factors. At present, there are few studies on the analysis of its related factors, and a nomogram to estimate the risk of sarco-osteoporosis in middle-aged and elderly patients is not available.MethodsA total of 386 patients admitted to our hospital from October 2021 to October 2022 were collected, and the general demographic data and clinical data of the patients were collected.386 subjects were enrolled in the study and randomly divided into training set and validation set at a ratio of 7:3. In the training set, the Least absolute shrinkage and selection operator(LASSO)regression technique was used to select the optimal predictive features, and multivariate logistic regression was used to screen the factors associated with sarco-osteoporosis, and a nomogram was constructed using meaningful variables from multivariate analysis. The performance of the nomograms was assessed and validated by Area Under Curve (AUC) and calibration curves.ResultsThere were no significant differences in baseline characteristic of individuals in training set and validation set, six variables with non-zero coefficients were screened based on LASSO regression in the training set. Multivariate logistic regression analysis showed that the related factors for sarco-osteoporosis in middle-aged and elderly inpatients included age (OR = 1.08, 95%CI 1.03 ∼ 1.14), regular exercise (OR = 0.29, 95%CI 0.15 ∼ 0.56), albumin (OR = 0.9, 95%CI 0.82 ∼ 0.98), height (OR = 0.93, 95%CI 0.88 ∼ 0.99) and lean mass index (OR = 0.66, 95%CI 0.52 ∼ 0.85), and a nomogram was constructed based on the above factors. AUC of nomogram were 0.868(95%CI 0.825 ∼ 0.912) in the training set and 0.737(95%CI 0.646 ∼ 0.828) in the validation set. Calibration curve analysis showed that the predicted probability of sarco-osteoporosis had high consistency with the actual probability, and the absolute error of the training set and verification set was 0.018 and 0.03, respectively.ConclusionsOur research showed that the occurrence of sarco-osteoporosis was associated with age, regular exercise, albumin, height and lean mass index, and we have developed a nomogram that can be effectively used in the preliminary and in-depth risk prediction of sarco-osteoporosis in middle-aged and elderly hospitalized patients.

A Posteriori Dietary Patterns among Children in Sabah: A Cross-Sectional Study

Introduction: A dietary pattern reflects the combination of foods of an individual’s overall eating habits and there is accumulating evidence that dietary patterns are closely associated with health outcomes. Therefore, this study aimed to determine the á posteriori dietary patterns among children in Sabah. Methods: A cross-sectional study was conducted from December 2022 to February 2023 in Kota Kinabalu and Tawau. A total of 199 children aged 5 to 12 years were recruited. Body weight, height, and body mass index were determined using standard protocols. Dietary intakes were assessed using the 24-hour diet recall method and dietary patterns were derived using the principal component analysis based on 20 food groups. Results: Three dietary patterns emerged: “Fish Dietary Pattern”, “Fruits Dietary Pattern”, and “White Rice Dietary Pattern”. There were significantly more children from households with monthly income less than RM 2500 (54.0%, P<0.001) and from Tawau (74.7%, P<0.001) adhered to the “Fish Dietary Pattern”. Children adhered to the “Fish Dietary Pattern” were taller (P=0.016) and had greater intakes of energy (P<0.001), carbohydrate (P<0.001), and protein (P<0.001), while children adhered to the “White Rice Dietary Pattern” had greater weight (P<0.001), height (P=0.003), BMI (P=0.003), as well as higher intakes of energy (P=0.010), carbohydrate (P<0.001), and protein (P=0.032). Conclusion: There were three distinct dietary patterns among children in Sabah, which were associated with growth indicators and nutrient intakes.

Recent changes in growth trajectories: a population-based cohort study of over 5 million Brazilian children born between 2001 and 2014

There is limited evidence on recent trends in childhood growth trajectories in Low-/middle-income countries. We investigated how age-trajectories for height and Body Mass Index (BMI) have changed among Brazilian children born in two different time periods after2000. We used a population-based cohort (part of the "Cohort of 100-Million Brazilians") created by the linkage of three Brazilian administrative databases: the Cadastro Único of the Federal Government, the National System of Live Births and the National Nutritional and Food Surveillance System. We included longitudinal data on 5,750,214 children who were 3 to <10 years of age and born between 2001 and 2014 (20,209,133 observations). We applied fractional polynomial models with random-effects to estimate mean height and BMI trajectories for children. Compared to children born in 2001-2007, the cohort born in 2008-2014 were on average taller, by a z-score of 0.15 in boys and 0.12 in girls. Their height trajectories shifted upwards, by approximately 1cm in both sexes. Levels of BMI increased little, by a z-score of 0.06 (boys) and 0.04 (girls). Mean BMI trajectories also changed little. However, the prevalence of overweight/obesity increased between cohorts, e.g., from 26.8% to 30% in boys and 23.9%-26.6% in girls aged between 5 and <10 years. An increase of 1cm in mean height of Brazilian children during a short period indicates the improvement in maternal and child health, especially those from low-income families due to the new health and welfare policies in Brazil. Although mean BMI changed little, the prevalence of child overweight/obesity slightly increased and remained high. This work was supported by National Council for Scientific and Technological Development - CNPq; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES; National Institute for Health Research (NIHR) Great Ormond Street Hospital Biomedical Research Centre; Society for the Study of Human Biology; Fundação de Amparo à Pesquisa do Estado de Minas Gerais - FAPEMIG; Departamento de Ciência e Tecnologia da Secretaria de Ciência, Tecnologia, Inovação e Complexo da Saúde do Ministério da Saúde - Decit/SECTICS/MS. The study also used resources from the Centre for Data and Knowledge Integration for Health (CIDACS), which receives funding from the Bill & Melinda Gates Foundation, the Wellcome Trust, the Health Surveillance Secretariat of the Ministry of Health and the Secretariat of Science and Technology of the State of Bahia (SECTI-BA).

Trees diversity explains variations in biodiversity-ecosystem function relationships across environmental gradients and conservation status in riparian corridors

Riparian ecosystems are recognized as large reservoirs of biodiversity providing important ecosystem services. However, the relationship between tree species diversity and ecosystem functions and the underlying ecological mechanisms have less been studied in riparian corridors. This study assessed the effect of tree diversity (taxonomic, functional, and phylogenetic) on riparian ecosystem functions (habitat quality–HbQ and aboveground carbon–AGC) across environmental gradients (distances to stream bed) and conservation status. Data were collected from 96 inventory plots installed in a 1 km buffer zone on either side of permanent streams in the Upper Ouémé watershed in northern Benin. We employed linear mixed effects models and structural equation modeling to analyze the data. We found that ecosystem functions (HbQ, AGC) and diversity attributes including species richness (SR), Faith’s phylogenetic diversity index (PD) and community-weighted mean of maximum height (CWMHmax) were significantly lower away from the streambed than nearby. The correlation between SR and ecosystem functions was significant and positive across and within the distance gradient and conservation status. We also found that the CWMHmax was the best predictor of both ecosystem functions, and that PD mediated the effect of SR on AGC and HbQ in areas close to the streambed and in unprotected areas, respectively. Our study reveals the influence of human activities on biodiversity and ecosystem functioning relationships in riparian corridors and provides new insights into the importance of tall stature trees and species with distant lineages for the functioning of these ecosystems. Based on the variables measured and tested in this study, we argue that riparian corridor management policies should consider plant traits and phylogeny and promote wider riparian buffers for the co-benefits of biodiversity conservation and climate change mitigation.

Assessing Sarcopenic Obesity Risk in Children During the COVID-19 Pandemic: Grip-to-BMI Ratio

Aim: The present investigation aimed to examine the prevalence of sarcopenic obesity in Turkish children aged 6-10 years during the COVID-19 pandemic, while also conducting a comparison of diagnostic methods. Methods: A total of 431 healthy children (230 females, 201 males) were recruited for this study. Various anthropometric measurements, including height, weight, and body mass index (BMI), were collected. Furthermore, body composition was assessed through the utilization of bioelectrical impedance analysis (BIA) to ascertain fat mass, skeletal muscle mass, and the muscle-to-fat ratio (MFR). Additionally, grip strength was measured to determine the grip strength-to-BMI ratio. McCarthy's framework was employed to define sarcopenic obesity based on MFR cut-offs. Receiver operating characteristic curves were implemented to evaluate the efficacy of the grip strength-to-BMI ratio in identifying the risk of sarcopenic obesity. Results: The prevalence of sarcopenic obesity was found to be 8.7% in females and 10.4% in males. In comparison to the MFR, the grip strength-to-BMI ratio exhibited considerable sensitivity in detecting the risk of sarcopenic obesity. The correlation between the ratio of grip strength to BMI and the muscle-to-fat ratio (MFR) was found to be weak among boys and girls aged 6-8 years (r=0.363, r=0.458, p

Aortic\\Height Index as a Predictor of Symptomatic Status in Patients With AAA in a Southern Brazilian Population

Aortic\\Height Index as a Predictor of Symptomatic Status in Patients With AAA in a Southern Brazilian Population

Nutritional status and dietary fatty acid intake among children from low-income households in Sabah: A cross-sectional study

ObjectivesThis study aimed to assess the nutritional status and dietary fatty acid intake among children from low-income households in Sabah, Malaysia. MethodsThis cross-sectional study was conducted from December 2022 to February 2023 in Kota Kinabalu and Tawau. A total of 182 children aged 5–12 years from low-income households (less than RM 4850 per month) were recruited. Anthropometric measurements included body weight, height, and body mass index. Dietary intakes were assessed using a 24-h diet recall and the fatty acid (FA) intakes were analyzed using a database with FA content for local foods. ResultsThe mean age of children was 8.8 ± 1.8 years, with a majority being girls (53.8%) and of Bajau ethnicity (53.3%). Based on the anthropometric measurements, 16.5% of children were stunted, 7.1% were thin, and 21.4% were overweight or obese. Intakes of total fat, saturated fatty acids (SFA), monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA), and trans fatty acids as a percentage of total energy were 29.3%, 12.3%, 12.6%, 4.0%, and 0.05%, respectively. 77.5% of children exceeded the recommendation for SFA and 63.2% of children did not meet the recommendation for n-3 PUFA. All children did not meet the recommendation for ⍺-linolenic. Children from Tawau had greater consumption of n-3 PUFA (p < 0.001) while children from Kota Kinabalu had greater intakes of total fat (p = 0.020), MUFA (p = 0.005), n-6 PUFA (p = 0.015), and trans fatty acid (p = 0.001). None of the dietary fatty acids was associated with anthropometric indices. ConclusionsThere was a high prevalence of stunting and overweight or obesity among children from low-income households in Sabah. Most of the children failed to meet the recommendations for SFA and n-3 PUFAs. These findings indicate a compelling need for the implementation of nutritional strategies to enhance adherence to dietary recommendations for fatty acids.

Association between sex hormones and bone age in boys aged 9-18 years from China.

This study aimed to analyse the association between sex hormones and bone age (BA) in boys aged 9-18 years, both individually and interactively, and further to explore whether nutritional status may influence this association. A retrospective analysis was performed among 1382 Chinese boys with physical measurements, sexual characteristics, BA radiographs and sex hormone indicators from February 2015 to February 2022. A total of 470 (34.0%) boys had advanced BA. BA was positively associated with estradiol, luteinizing hormone (LH), follicle-stimulating hormone (FSH) and testosterone in both advanced and normal BA groups after adjusting for age, genetic height and body mass index. Multiple logistic regression showed that after adjusting for covariates, estradiol (odds ratio [OR] = 1.66, 95% confidence interval [CI]: 1.14-2.12), LH (OR = 1.43, 95% CI: 1.04-1.96), and testosterone (OR = 1.58, 95% CI: 1.17-2.13) were significantly associated with the increased risk of advanced BA in boys, and the association was reinforced when these hormones were interactively explored. Stratified by nutritional status, the interaction between estradiol, LH, and testosterone showed a strong association with advanced BA in boys with normal weight.

Anthropometric indicators and their relationship with body fat in obese women.

To determine the anthropometric indicator of best correlation with body fat in women with obesity aged 20 to 59 years. A correlational cross-sectional study was conducted. The percentage of body fat was determined (% GC) and lipid profile (LDL, TG, CT), Body Mass Index (BMI), Hip Waist Index (ICC), Waist Height Index (ICE), Conicity Index (CI), Body Adiposity Index (BSI), Hip Height Index (HSI) and Body Weight by Height Index (BWI). Seven hundred and eighty obese women were selected by random cluster sampling. The correlation of the mean % GC with anthropometric indicators was: BMI:0.697, ICC: 0.661, ECI: 0.910, CI: 0.587, ICadE: 0.323, CAI: 0.578, EICP: 0.549. The lipid profile correlation with anthropometric variables and indices was: LDL (BMI: 0.615, ICC: 0.765, ECI: 0.881, CSI: 0.535, ICadE: 0.588, ECDI: 0.492), TG (BMI: 0.690, ICC: 0.776, ICE: 0.855, CI:0.625, CI: 0.572, CIadE: 0.632, EICP: 0.631) Y TC (BMI: 0.699, ICC: 0.715, ECI: 0.829, CI: 0.601, ACI: 0.609, CIadE: 0.709, EICP: 0.500) High correlation between % GC and Waist Circumference. Waist Height Index had a better correlation with Body Fat. Keywords: obesity; health; women; nutritional status

Anthropometric indicators and their relationship with body fat in obese women.

To determine the anthropometric indicator of best correlation with body fat in women with obesity aged 20 to 59 years. A correlational cross-sectional study was conducted. The percentage of body fat was determined (% GC) and lipid profile (LDL, TG, CT), Body Mass Index (BMI), Hip Waist Index (ICC), Waist Height Index (ICE), Conicity Index (CI), Body Adiposity Index (BSI), Hip Height Index (HSI) and Body Weight by Height Index (BWI). Seven hundred and eighty obese women were selected by random cluster sampling. The correlation of the mean % GC with anthropometric indicators was: BMI:0.697, ICC: 0.661, ECI: 0.910, CI: 0.587, ICadE: 0.323, CAI: 0.578, EICP: 0.549. The lipid profile correlation with anthropometric variables and indices was: LDL (BMI: 0.615, ICC: 0.765, ECI: 0.881, CSI: 0.535, ICadE: 0.588, ECDI: 0.492), TG (BMI: 0.690, ICC: 0.776, ICE: 0.855, CI:0.625, CI: 0.572, CIadE: 0.632, EICP: 0.631) Y TC (BMI: 0.699, ICC: 0.715, ECI: 0.829, CI: 0.601, ACI: 0.609, CIadE: 0.709, EICP: 0.500) High correlation between % GC and Waist Circumference. Waist Height Index had a better correlation with Body Fat. Keywords: obesity; health; women; nutritional status

How Do Genetic and Environmental Factors Influence Cardiometabolic Risk Factors? Findings from the Isfahan Twins Study.

Disease-discordant twins are excellent subjects for matched case-control studies as they allow for the control of confounding factors such as age, gender, genetic background, and intrauterine and early environment factors. Study design: A cross-sectional study. Past medical history documentation and physical examination were conducted for all participants. Fasting venous blood samples were taken to measure fasting blood glucose (FBG) and lipid levels. The ACE model, a structural equation model, was used to assess heritability. This study included 710 twin pairs (210 monozygotic and 500 dizygotic) ranging in age from 2 to 52 years (mean age: 11.67±10.71 years). The study was conducted using participants from the Isfahan Twin Registry (ITR) in 2017. Results showed that in early childhood (2-6 years), height, weight, and body mass index (BMI) were influenced by shared environmental factors (76%, 75%, and 73%, respectively). In late childhood (7-12 years), hip circumference, waist circumference (WC), and low-density lipoprotein (LDL) cholesterol were found to be highly heritable (90%, 76%, and 64%, respectively). In adolescents, height (94%), neck circumference (85%), LDL-cholesterol (81%), WC (70%), triglycerides (69%), weight (68%), and BMI (65%) were all found to be highly or moderately heritable. In adult twins, arm circumference (97%), weight (86%), BMI (82%), and neck circumference (81%) were highly heritable. This study demonstrates that both genetic and environmental factors play a role in influencing individuals at different stages of their lives. Notably, while certain traits such as obesity have a high heritability during childhood, their heritability tends to decrease as individuals transition into adulthood.

Night-Time Vessel Detection Based on Enhanced Dense Nested Attention Network

Efficient night-time vessel detection is of significant importance for maritime traffic management, fishery activity monitoring, and environmental protection. With the advancement in object-detection approaches, the method of night-time vessel detection has gradually shifted from traditional threshold segmentation to deep learning that balances efficiency and accuracy. However, the restricted spatial resolution of night-time light (NTL) remote sensing data (e.g., VIIRS/DNB images) results in fewer discernible features and insufficient training performance when detecting vessels that are considered small targets. To address this, we establish an Enhanced Dense Nested-Attention Network (DNA-net) to improve the detection of small vessel targets under low-light conditions. This approach effectively integrates the original VIIRS/DNB, spike median index (SMI), and spike height index (SHI) images to maintain deep-level features and enhance feature extraction. On this basis, we performed vessel detection based on the Enhanced DNA-net using VIIRS/DNB images of the Japan Sea, the South China Sea, and the Java Sea. It is noteworthy that the VIIRS Boat Detection (VBD) observations and the Automatic Identification System (AIS) data were cross-matched as the actual status of the vessels (VBD-AIS). The results show that the proposed Enhanced DNA-net achieves significant improvements in the evaluation metrics (e.g., IOU, Pd, Fa, and MPD) compared to the original DNA-net, achieving performance of 87.81%, 96.72%, 5.42%, and 0.36 Wpx, respectively. Meanwhile, we validated the detection performance of Enhanced DNA-net and strong VBD detection against VBD-AIS, showing that the Enhanced DNA-net achieves 1% better accuracy than strong VBD detection.

Simulation Model Construction of Plant Height and Leaf Area Index Based on the Overground Weight of Greenhouse Tomato: Device Development and Application

Plant height and leaf area index (LAI) are crucial growth indicators that reflect the growth status of tomatoes in greenhouses, enabling accurate determinations to effectively estimate crop transpiration and formulate irrigation strategies for reducing agricultural water waste. There is a need for the increased application of related models to simulate tomato growth indices in the traditional greenhouse production in China. This study proposes a nondestructive, real-time monitoring and simulation device for measuring tomato plant height and leaf area index. The weight of aboveground tomatoes was obtained by suspending tomato plants on dynamometers, while the total weight of stem and leaf organs was determined using a distribution coefficient simulation model. The R2 value between the measurements from the electronic scale and those from the aboveground fresh weight device for tomatoes was 0.937, with an RMSE value of 0.05 kg. The monitoring device did not affect the average tomato growth during operation. The device will not affect the growth of tomatoes during monitoring. A multiple linear regression was used to compare the measured and simulated values of the plant height and leaf area index of various types of greenhouse tomatoes cultivated in different greenhouse types. The average R2 value for simulating plant height was 0.817 with an RMSE of 10.81 cm. The average R2 value for the leaf area index was 0.854, with an RMSE of 0.55 m2·m−2. The simulated values for plant height and leaf area index closely matched the measured values, indicating that the model has high accuracy and applicability in traditional Chinese greenhouses (solar greenhouses and insulated plastic greenhouses). However, further optimization is required for commercially produced, continuous plastic greenhouses equipped with greenhouse environmental control equipment.

Nighttime warming and nitrogen addition effects on the microclimate of a freshwater wetland dominated by Phragmites australis

The critical impacts of microclimate on carbon (C) cycling have been widely reported. However, the potential effects of global change on wetland microclimate remain unclear, primarily because of the absence of field manipulative experiment in inundated wetland. This study was designed to examine the effects of nighttime warming and nitrogen (N) addition on air, water, and sediment temperature and also reveal the controlling factors in a Phragmites australis dominated freshwater wetland on the North China Plain. Nighttime warming increased daily air, water, and sediment temperature by 0.24 °C, 0.27 °C, and 0.36 °C, respectively. The diurnal temperature range of water was decreased by 0.44 °C under nighttime warming, whereas warming had no effect on diurnal temperature range of air and sediment. In addition, N addition caused a reduction of 0.20 °C and 0.14 °C in daily water and sediment temperature by increasing vegetation coverage. There was a significant interaction between nighttime warming and N addition on water temperature. Furthermore, the vapor pressure deficit is the main factor affecting the extent of the warming-induced increases in air temperature. The changes of height and leaf area index of Phragmites australis are responsible for the cooling effects in the N addition plots. This study provides empirical evidence for the positive climate warming – microclimate feedback in freshwater wetland. However, N deposition leads to decreased water and sediment temperature. Our findings highlight the importance of incorporating the differential impacts of nighttime warming and N addition on air, water, and sediment temperature into the predictions of wetland C cycling responses to climate change.