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156 results for “Temperature Influence”
Figures 3-6 from: Chaves MF, Moura GJB, Tenório FCMA, Baptista JS, Lapa Neto CJC, Texeira VW, Texeira ÁAC (2017) Influence of rainfall and temperature on the spermatogenesis of Leptodactylus macrosternum (Anura: Leptodactylidae). Zoologia 34: 1-7. https://doi.org/10.3897/zoologia.34.e20782
Figures 3-6 - Histologic sections of Leptodactylus macrosternum testes, stained in HE, collected between the months of May to August and November to December in the Horto Florestal Olhod'Água da Bica (HFOB) area in the municipality of Cuité, state of Paraíba, Brazil. (3) section at 40x: (TA) tunica albuginea, (Med) mediastinum; (4) section at 40x TA: (St1) primary spermatid, (ST2) secondary spermatid, (Sp1) primary spermatocyte; (5) section at 40x TA: (Sg1) primary spermatogonia, (SG2) secondary spermatogonia, (Sp2) secondary spermatocyte, (Z) sperm; (6) section at 40x: (*) lumen with sperm. Scale bars: 3 = 500 µm, 4–6 = 50 µm.
Figure 1 in Influence of Temperature on Susceptibility of Cvs. Tifguard and Georgia-06G Peanut to Meloidogyne arenaria
Figure 1: Mean number of Meloidogyne arenaria in roots of Tifguard and Georgia-06G at 5-day intervals over a 30-day period in Experiment 1.
Temperature differentially influences the capacity of Trichoderma species to induce plant defense responses in tomato against insect pests
<p>Species of the ecological opportunistic, avirulent fungus, <em>Trichoderma</em> are widely used in agriculture for their ability to protect crops from the attack of pathogenic fungi and for plant growth promotion activity. Recently, it has been shown that they may also have complementary properties that enhance plant defense barriers against insects. However, the use of these fungi is somewhat undermined by their variable level of biocontrol activity, which is influenced by environmental conditions. Understanding the source of this variability is essential for its profitable and wide use in plant protection. Here, we focus on the impact of temperature on <em>Trichoderma afroharzianum</em> T22, <em>Trichoderma atroviride</em> P1, and the defense response induced in tomato by insects. The <em>in vitro</em> development of these two strains was differentially influenced by temperature, and the observed pattern was consistent with temperature-dependent levels of resistance induced by them in tomato plants against the aphid, <em>Macrosiphum euphorbiae</em>, and the noctuid moth, <em>Spodoptera littoralis</em>. Tomato plants treated with <em>T. afroharzianum</em> T22 exhibited enhanced resistance toward both insect pests at 25°C, while <em>T. atroviride</em> P1 proved to be more effective at 20°C. The comparison of plant transcriptomic profiles generated by the two <em>Trichoderma</em> species allowed the identification of specific defense genes involved in the observed response, and a selected group was used to assess, by real-time quantitative reverse transcription PCR (qRT-PCR), the differential gene expression in <em>Trichoderma</em>-treated tomato plants subjected to the two temperature regimens that significantly affected fungal biological performance. These results will help pave the way toward a rational selection of the most suitable <em>Trichoderma</em> isolates for field applications, in order to best face the challenges imposed by local environmental conditions and by extreme climatic shifts due to global warming.</p>
Figure 1 in Vocalizations of the Brazilian torrent frog Hylodes heyeri (Anura: Hylodidae): Repertoire and influence of air temperature on advertisement call variation
Figure 1. Advertisement call of Hylodes heyeri from the Municipality of Morretes, Parana´, Brazil. Recorded on 8 April 2002, at 21.7°C. (A) Power spectrum; (B) spectrogram; (C) oscillogram.
Figure 4 from: Ferreira RL, Martins VM, Paixão ER, Silva MS (2015) Spatial and temporal fluctuations of the abundance of Neotropical cave-dwelling moth Hypena sp. (Noctuidae, Lepidoptera) influenced by temperature and humidity. Subterranean Biology 16: 47-60. https://doi.org/10.3897/subtbiol.16.5137
Figure 4 - Spatial distribution maps of Hypena sp. demonstrating different densities between seasons. In the dry seasons (17/07/1999 and 10/07/2000) individuals are located in the deepest region of the cave, an opposite pattern during rainy seasons (16/01/2000 and 19/01/2001) when the population of individuals becomes denser in the region near the cave entrance. Blue colors indicate low densities while light yellow colors indicate high densities.
Figure 1 from: Ferreira RL, Martins VM, Paixão ER, Silva MS (2015) Spatial and temporal fluctuations of the abundance of Neotropical cave-dwelling moth Hypena sp. (Noctuidae, Lepidoptera) influenced by temperature and humidity. Subterranean Biology 16: 47-60. https://doi.org/10.3897/subtbiol.16.5137
Figure 1 - A Photograph indicating the cave entrance and the surrounding region, whose native forest was turned into pasture B Conduit located in the area near the entrance C Individuals of Hypena sp. resting on the cave wall.
Figure 3 from: Ferreira RL, Martins VM, Paixão ER, Silva MS (2015) Spatial and temporal fluctuations of the abundance of Neotropical cave-dwelling moth Hypena sp. (Noctuidae, Lepidoptera) influenced by temperature and humidity. Subterranean Biology 16: 47-60. https://doi.org/10.3897/subtbiol.16.5137
Figure 3 - Spatial Point Pattern Analysis of the second monitoring (January 2000). A Dot map and (B), shows the estimations of the function K (r is the distance argument, Dashed line corresponds to the theoretical value of this function is Complete Spatial Randomness and solid lineis the Observed value of the K function for the date pattern) C Map Kernel Estimates of intensity.
Figure 2 from: Ferreira RL, Martins VM, Paixão ER, Silva MS (2015) Spatial and temporal fluctuations of the abundance of Neotropical cave-dwelling moth Hypena sp. (Noctuidae, Lepidoptera) influenced by temperature and humidity. Subterranean Biology 16: 47-60. https://doi.org/10.3897/subtbiol.16.5137
Figure 2 - A Variation in temperature and humidity along the Taboa cave, showing a tendency to stabilize in the deeper parts of the cave. The table shows the section in which the Hypena sp specimens were collected (B) Change in abundance over the transects, the arrow indicates the spatial extent where the effects of the surface seasonality promote decrease and expansion in the population distribution.
Supplementary material 1 from: Gavrilov VM, Golubeva TB, Bushuev AV (2023) Metabolic rate, sleep duration, and body temperature in evolution of mammals and birds: the influence of geological time of principal groups divergence. ZooKeys 1148: 1-27. https://doi.org/10.3897/zookeys.1148.93458
Mammalian Basal metabolic rate (BMR) dafrom Genoud et al. (2017)
Supplementary material 2 from: Gavrilov VM, Golubeva TB, Bushuev AV (2023) Metabolic rate, sleep duration, and body temperature in evolution of mammals and birds: the influence of geological time of principal groups divergence. ZooKeys 1148: 1-27. https://doi.org/10.3897/zookeys.1148.93458
Aves BMR
Supplementary material 3 from: Gavrilov VM, Golubeva TB, Bushuev AV (2023) Metabolic rate, sleep duration, and body temperature in evolution of mammals and birds: the influence of geological time of principal groups divergence. ZooKeys 1148: 1-27. https://doi.org/10.3897/zookeys.1148.93458
Sleep duration for endothermic species (by review Cambell & Tobler, 1984) and others
SMAHC characterization under influence of external load and ambient temperature
<p>See Publication for information about the dataset.</p>
Influence of CPB Temperature on CABG Morbidity
ClinicalTrials.gov study NCT00000604. IPD Sharing: Not stated. Countries: 0. Publications: 2.
Data from: Rearing temperature influences adult response to changes in mating status
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Data from: Incubation temperature influences survival in a small passerine bird
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Data from: Growth trajectory influences temperature preference in fish through an effect on metabolic rate
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Using naturalistic incubation temperatures to demonstrate how variation in the timing and continuity of heat wave exposure influences phenotype
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Data from: The influence of environmental gradients on individual behaviour: individual plasticity is consistent across risk and temperature gradients
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Data from: Evaluating the influences of temperature, primary production, and evolutionary history on bivalve growth rates
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Data from: Process-based species pools reveal the hidden signature of biotic interactions amid the influence of temperature filtering
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