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562 results for “Body Weight”
Fig. 2 in Dependence of spermatophore size and sperm number on body weight in various cricket species (Insecta, Orthoptera)
Fig. 2: Linear regression analyses elucidating possible relationships between ampulla diameter and body weight (a) as well as between number of sperm and ampulla diameter (b). Data obtained for all investigated cricket species have been plotted (N = 80).
Fig. 1 in Dependence of spermatophore size and sperm number on body weight in various cricket species (Insecta, Orthoptera)
Fig. 1: General appearance of the spermatophore produced by males of the four cricket species investigated for this study (STURM 2003): (a) overview of a spermatophore with its spermcontaining ampulla (amp) and attachment plate (ap); (b) main components of the ampulla: apical papilla (pap), outer membrane (om), inner membrane (im), sperm mass (spm), and spermatphore tube (spt); (c) electron micrograph exhibiting the internal structure of a spermatophore (il: inner layer); (d) detailed view on the sperm mass included into the ampulla (spf: sperm flagella).
Feeding with plant powders increases longevity and body weight of Western honeybee workers (Apis mellifera)
<p>Beekeepers routinely substitute honey from managed western honeybees, <em>Apis mellifera</em>, colonies with sugar water post-harvest, potentially leading to malnutrition. Although nutritional supplements have been created, a general consensus on proper colony nutrition for beekeeping has yet to be reached. Thus, finding easily obtainable fortified <em>A. mellifera</em> food alternatives is still of interest. Here, we test plant powder-enriched food supplements since <em>a priori</em> evidence suggests plant extracts can enhance dry body weight and longevity of workers. Freshly emerged workers were kept in hoarding cages (N=69 days) and fed either with 50 % (w/v) sucrose solution alone or additionally with one of 12 powders: <em>Laurus nobilis, Quercus </em>spp<em>., Curcuma longa, Hypericum </em>spp<em>., Spirulina platensis, Calendula officinalis, Chlorella vulgaris, Melissa officinalis, Moringa oleifera, Rosa canina, Trigonella foenum-graecum, </em>and<em> Urtica dioica </em>(N=2028 workers total). The dry body weight was significantly increased in <em>Quercus</em> spp., <em>Hypericum</em> spp., <em>Spirunlina platensis, Mellisa officinalis, Moringa oelifera</em>, and <em>Trigonella foenum-graecum</em> treatments. Further, the longevity was significantly increased in <em>Quercus </em>spp., <em>Curcuma longa, Calendulae officinalis, Chlorella vulgaris, Melissa officinalis, Rosa canina, Trigonella foenum-graecum, </em>and<em> Urtica diocia</em> treatments<em>.</em> Given that plant extracts can enhance <em>A. mellifera</em> health, plant powders possibly provide additional macro- (i.e. proteins, lipids, peptides) and micronutrients (minerals and vitamins) thereby enhancing nutrient availability. Further investigations into the mechanisms underlying these effects and field studies are recommended to validate these findings in real-hive scenarios.</p>
F I G U R E 5 in Length-weight relationships of 55 mesopelagic fishes from the eastern tropical North Atlantic: Across- and within-species variation (body shape, growth stanza, condition factor)
F I G U R E 5 Log–log plot of the relative condition factor (Krel) vs. standard length (cm) calculated from length–weight relationships (LWRs) of the species (a) Argyropelecus affinis, (b) Argyropelecus sladeni, (c) Ceratoscopelus warmingii, (d) Diaphus dumerilii, (e) Electrona risso, (f) Lampanyctus nobilis, (g) Lepidophanes guentheri, (h) Notoscopelus resplendens and (i) Scopelogadus mizolepis (Table 3). Geographic regions are indicated by linetype, symbol and colour (EQ–C, dotted line, dark-blue square; EQ–N, two-dashed line, turquoise triangle; LO–E, solid line, red circle; LO–W, dashed line, violet diamond). If present, vertical dashed grey line indicates breakpoint in the LWR estimated by segmented regression analysis (cf. Table 2)
F I G U R E 1 in Length-weight relationships of 55 mesopelagic fishes from the eastern tropical North Atlantic: Across- and within-species variation (body shape, growth stanza, condition factor)
F I G U R E 1 Stations in the eastern low-oxygen (LO–E), western low-oxygen (LO–W), northern equatorial (EQ–N) and central equatorial (EQ–C) regions of the eastern tropical North Atlantic sampled in this study
F I G U R E 4 in Length-weight relationships of 55 mesopelagic fishes from the eastern tropical North Atlantic: Across- and within-species variation (body shape, growth stanza, condition factor)
F I G U R E 4 Distribution of form factor a3.0 for 55 mesopelagic species related to (a) body shape, (b) taxonomic family and (c) species. Form factor calculated from Equation 2 using across-species slope of S = 1.358 based on 1223 fish species presented in equation 17 in Froese (2006)
F I G U R E 3 in Length-weight relationships of 55 mesopelagic fishes from the eastern tropical North Atlantic: Across- and within-species variation (body shape, growth stanza, condition factor)
F I G U R E 3 Scatter plot of mean log a (SL) over mean b for 55 mesopelagic species with information on body shape. Body shape:, elongated;, fusiform;, short-deep
F I G U R E 2 in Length-weight relationships of 55 mesopelagic fishes from the eastern tropical North Atlantic: Across- and within-species variation (body shape, growth stanza, condition factor)
F I G U R E 2 Frequency distribution of (a) mean log a (binwidth 0.2) and (b) mean exponent b (binwidth 0.1) based on 55 records (measured in centimetres and grams) of mesopelagic species of the eastern tropical North Atlantic during cruise WH383
Data from: Insights from a 31-year study demonstrate an inverse correlation between recreational activities and red deer fecundity, with body weight as a mediator
<p>Human activity is omnipresent in our landscapes. Animals can perceive risk from humans similar to predation risk, which could affect their fitness. We assessed the influence of the relative intensity of recreational activities on body weight and pregnancy rates of red deer (<em>Cervus elaphus</em>) between 1985 and 2015. We hypothesized that stress, as a result of recreational activities, affects pregnancy rates of red deer directly and indirectly via a reduction in body weight. Furthermore, we expected non-motorized recreational activities to have a larger negative effect on both body weight and fecundity, compared to motorized recreational activities. The intensity of recreational activities was recorded through visual observations. We obtained pregnancy data from female red deer that were shot during the regular hunting season. Additionally, age and body weight were determined through post-mortem examination. We used two generalized linear mixed models (GLMM) to test the effect of different types of recreation on 1) pregnancy rates and 2) body weight of red deer. Recreation had a direct negative correlation with the fecundity of red deer, with body weight as a mediator as expected. Besides, we found a negative effect of non-motorized recreation on fecundity and body weight and no significant effect of motorized recreation. Our results support the concept of humans as an important stressor affecting wild animal populations at a population level and plead to regulate recreational activities in protected areas that are sensitive. The fear humans induce in large-bodied herbivores and its consequences for fitness may have strong implications for animal populations.</p>
Рис. 8. Рост и развитие птенцов: a — изменение массы; b — рост частей теΛа; c — рост перьев Fig. 8. Growth and development of nestlings: a — weight change; b — growth of body parts; c — feather growth in in the Ussuri region
Рис. 8. Рост и развитие птенцов: a — изменение массы; b — рост частей теΛа; c — рост перьев Fig. 8. Growth and development of nestlings: a — weight change; b — growth of body parts; c — feather growth
Рис. 3. Возрастная Δинамика относитеΛьных приростов ΔΛины (А) и массы теΛа (А) бурого морского петушка Alectrias alectrolophus из разных районов Тауйской губы Охотского моря Fig. 3. Age-related dynamics of relative gains in length (A) and body weight (A) of stone cockscomb Alectrias alectrolophus from different regions of Taui Bay, the Sea of Okhotsk in Size-age structure, growth, and feeding of stone cockscomb Alectrias alectrolophus (Stichaeidae) from different areas of Taui Bay, the Sea of Okhotsk
Рис. 3. Возрастная Δинамика относитеΛьных приростов ΔΛины (А) и массы теΛа (А) бурого морского петушка Alectrias alectrolophus из разных районов Тауйской губы Охотского моря Fig. 3. Age-related dynamics of relative gains in length (A) and body weight (A) of stone cockscomb Alectrias alectrolophus from different regions of Taui Bay, the Sea of Okhotsk
Pharmacokinetics, Safety, Tolerability and Efficacy of a New Artemether-lumefantrine Dispersible Tablet in Infants and Neonates <5 kg Body Weight With Acute Uncomplicated Plasmodium Falciparum Malaria
ClinicalTrials.gov study NCT04300309. IPD Sharing: YES. Countries: 2. Publications: 1.
Data from: Insights from a 31-year study demonstrate an inverse correlation between recreational activities and red deer fecundity, with body weight as a mediator
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Feeding with plant powders increases longevity and body weight of Western honeybee workers (Apis mellifera)
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Supporting data: The role of sex and body weight on the metabolic effects of high fat diet in C57BL/6N mice.
<p>Authors: Camilla Ingvorsen*, Natasha A. Karp*, Christopher J. Lelliott</p> <p>* These authors contributed equally to this work</p> <p>This directory contains the raw data, R scripts and output files used to generate the figures and results presented in the manuscript "The role of sex and body weight in metabolic effects of high fat diet on C57BL/6N mice."</p>
Dynamic data of body weight and feed intake in fattening pigs and the determination of energetic allocation factors using a dynamic linear model
<p>This is the R script (DLM_script.R) to characterize the evolution of the energetic allocation factor (α<sub>t</sub>) which represents the link between the cumulative net energy available (estimated from feed intake) and cumulative weight gain during fattening period. The data for the 100 fattening pigs are stored in the csv file (DataAxiom.csv) and structured as follows:</p> <ul> <li>ID: pig identification number;</li> <li>Fattening_group.Pen : fattening group and pen number for a given ID;</li> <li>t (day): time in days since the transfer to fattening room;</li> <li>Wt (kg) : median weight in kg at day t for a given ID;</li> <li>FIt (kg day-1) : total feed intake in kg at day t for a given ID.</li> </ul> <p>For detail description of the procedure please see article.</p>
Improved HbA1c and body weight in GADA-positive individuals treated with tirzepatide: A post hoc analysis of SURPASS
<p>Supplemental appendix of Peters. et al. Improved HbA1c and body weight in GADA-positive individuals treated with tirzepatide: A post hoc analysis of SURPASS. JCEM 2024.</p>
Figure 2 in Comparative analysis of brain in relation to the body length and weight of common carp (Cyprinus carpio) in captive (hatchery) and wild (river system) populations
Figure 2. brain of common carps in wild environment.
Figure 1 in Comparative analysis of brain in relation to the body length and weight of common carp (Cyprinus carpio) in captive (hatchery) and wild (river system) populations
Figure 1. brain of common carps in captive environment.
Figure 2 in Comparative brain analysis of wild and hatchery reared Mahseer (Tor putitora) relative to their body weight and length
Figure 2. Relationship between body and brain weight of wild and hatchery reared fish.
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