Pre-hatching temperature training improves performance in dual- and laying-type cockerels fed with different protein and energy concentrations

2018 ◽  
Author(s):  
Ingrid Halle ◽  
M.A. Lieboldt ◽  
Martina Henning ◽  
Barbara Tzschentke
Keyword(s):  
Temperature Training ◽  
Hatching Temperature

scholarly journals Penetasan telur penyu sisik (Eretmochelys imbricata) dengan kedalaman yang berbeda

2021 ◽  
Vol 8 (2) ◽  
pp. 86
Author(s):  
Erlangga Erlangga ◽  
Ayu Lestari ◽  
Zulfikar Zulfikar ◽  
Munawar Khalil ◽  
Riri Ezraneti
Keyword(s):  
Block Design ◽  
Sea Turtle ◽  
Marine Resources ◽  
Eretmochelys Imbricata ◽  
Temperature Range ◽  
Randomized Block Design ◽  
Nest Depth ◽  
Hatching Percentage ◽  
Hatching Temperature

This research was conducted from November 2018 until January 2019 which was held at the UPTD Conservation and Supervision of Marine Resources and Fisheries in West Sumatera, Pariaman City.  The aim of the research is to know hatchling hawksbill sea turtle eggs based on nest depth. The method used in this study is a nonfactorial randomized block design (RBD) consisting of 3 treatments and 3 replications. The treatments used were treatment A (with a depth of 30 cm incubation nest), treatment B (with a depth of incubation nest 40 cm), and Treatment C (with a depth of incubation nest 50 cm). The results of this study showed that hatching hawksbill eggs hatched very significantly, the best hatching percentage was in treatment A (30cm) with 78% hatching at 6:00 a.m. with hatching temperature range of 24-28oC, hatching pH of 6,6-6,8 and medium sized incubation sand with a size of 0.150 mm with a weight reaching 461 grams.Keywords: Hatching percentage, Hawksbill turtle, pH, Temperature

scholarly journals RANCANG BANGUN ALAT PENETAS TELUR AYAM OTOMATIS DENGAN PENGIRIMAN DATA VIA SMS GATEWAY BERBASIS ARDUINO NANO

Foristek ◽  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Stenly Asali ◽  
Tan Suryani Sollu
Keyword(s):  
Rural Areas ◽  
Free Range ◽  
Chicken Egg ◽  
Hatching Process ◽  
Automatic Controllers ◽  
Chicken Eggs ◽  
Hatching Temperature ◽  
Success Percentage

In rural areas, free-range chickens are raised naturally, that is, the eggs are incubated by their parents directly so that the breeding of chickens is not optimal, because the native hens are only able to incubate a few eggs. Therefore an automatic chicken egg incubator is needed. Egg incubators that use automatic controllers in order to facilitate the hatching process, get maximum hatching results as expected and be able to find hatching information remotely by sending information via sms gateway. The hatching temperature is 37-380C and turning the eggs every 8 hours, starting from the eggs being put in the incubator until the eggs hatch. The data from the sensors will be processed in the diarduino and sent to the hatchery owner via SIM800L V.2 when the sound sensor detects the sound of the hatched egg. The information about the eggs that have been hatched comes from the sound sensor, even though the farmer is not in the hatchery. Experiments were carried out using 20 chicken eggs as a sample. The results of the successful hatching test were 4 chickens with a 20% success percentage, due to a power cut during the hatching process.

scholarly journals Variation in hatching responses of Nematodirus battus eggs to temperature experiences

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Lynsey A. Melville ◽  
Jan Van Dijk ◽  
Sian Mitchell ◽  
Giles Innocent ◽  
David J. Bartley
Keyword(s):  
Infective Larva ◽  
Disease Outbreaks ◽  
Gastrointestinal Nematodes ◽  
Population Variation ◽  
Hatch Rate ◽  
The Uk ◽  
Response To Temperature ◽  
Hatching Temperature ◽  
Hatching Rates

Abstract Background Nematodirus battus, unlike most other gastrointestinal nematodes, undergoes maturation to an infective larva within the egg. Historically, eggs were considered to require a period of chilling over winter followed by a period of temperature above 10 °C for synchronous hatching to occur (generally in spring). Anecdotal reports of Nematodirus infection out-with spring in veterinary journals and the farming press suggest that the concentrated pasture abundance of N. battus infective larvae may be changing. In order for control practices to be adapted, and unexpected disease outbreaks to be avoided, it is important to quantify how parasite epidemiology is changing and research the drivers behind it. Method The present study investigated the in vitro hatching response to temperature experiences (with and without a period of chilling) for egg samples of 90 N. battus populations obtained from 73 commercial sheep farms. Six aliquots of larvated eggs were prepared per population, three aliquots were placed at 4 °C for 6  weeks to provide a chill stimulus then incubated at the optimal hatching temperature for the species. The remaining three aliquots of eggs were incubated at the hatching temperature without a prior chill stimulus and the number of hatched larvae was compared between treatments. Results Median hatch rate across all populations with chilling was 45% (95% CI: 42–48%) and without chilling was 4% (95% CI: 2–6%). Inter-population variation in hatching ranged from 0 to 87% of eggs able to hatch in the absence of a chill stimulus, mean non-chill hatching was 13 ± 2% of eggs (mean ± SE). Non-chill hatching rates were greater than chilled hatching rates in seven of the 90 populations tested. Conclusions Clearly, the variation in hatching responses to temperature experience is very large and therefore the seasonality of the parasite may vary not only between regions but also at farm level. In contrast to what previous work has suggested, there was a geographical trend towards higher non-chill hatching in the Northern parts of the UK.

scholarly journals Investigation of alpha-wave frequency characteristics in the patients with chronic tension headache and its modification during electromyographic-temperature training

2010 ◽  
Vol 9 (2) ◽  
pp. 42-46 ◽  
Author(s):  
O. S. Shubina ◽  
M. Ye. Melnikov ◽  
I. A. Veretelnikov
Keyword(s):  
Tension Headache ◽  
Frequency Characteristics ◽  
Wave Frequency ◽  
Wave Power ◽  
Alpha Wave ◽  
Temperature Training ◽  
Frequency Power

Chronic tension headache is the most commonly experienced headache. Low effectiveness of its treatment is connected with lack of understanding of this disorder pathogenensis. It was shown that electromyographic-temperature training provoked modification of alpha-wave power and frequency: power of alpha increased, frequency of maximal increased as well.

THE DEVELOPMENT AND HABITS OF LINSLEYA SPHAERICOLLIS (COLEOPTERA: MELOIDAE),

1977 ◽  
Vol 109 (3) ◽  
pp. 375-380 ◽  
Author(s):  
N. S. Church ◽  
G. H. Gerber
Keyword(s):  
Instar Larva ◽  
Natural Food ◽  
Fraxinus Pennsylvanica ◽  
Green Ash ◽  
Larval Instars ◽  
Wheat Stem Sawfly ◽  
First Instar ◽  
Common Lilac ◽  
In Captivity ◽  
Hatching Temperature

AbstractLinsleya sphaericollis (Say) adults have been seen in various parts of Manitoba, Saskatchewan, and Alberta from mid-June to mid-August, and will feed on western snowberry, Symphoricarpos occidentalis Hooker, species of wild and cultivated honeysuckle, Lonicera spp., common lilac, Syringia vulgaris L., and green ash, Fraxinus pennsylvanica Marsh. Field-collected adults lived for up to 8 weeks in captivity and laid on the average nearly one batch of eggs per female, with each batch containing an average of 50–51 eggs. The eggs were killed if exposed to temperatures of 0–10°C for 3 weeks, but endured these temperatures for a week. Embryonic development was slow, hatching was unusually irregular, and the best hatching temperature was 25°C. The incubation period was about 50% longer at 20°C, and hatching was inhibited at 15° and 30°C. The first instar larvae lived for up to 7 weeks without food. Some of the larvae fed on the eggs of Melanoplus sanguinipes (Fabricius) and M. bivittatus (Say), but the response was poor; they did not feed on ant larvae and pupae, or on the larvae of wheat stem sawfly (Cephus cinctus Norton). The data indicate that there are five vorant larval instars, that the typical meloid hypnothecal and non-vorant larval instars are omitted, that this insect overwinters as a fifth instar larva, that the natural food of the larvae is grasshopper eggs, and that the genus Linsleya should be included in the subtribe Epicautina.

Theoretical Applications of Biofeedback Hand Temperature Training to Prepared (Lamaze) Childbirth Training

1973 ◽  
Vol 37 (1) ◽  
pp. 326-326 ◽  
Author(s):  
David J. French ◽  
Charles S. Leeb ◽  
Gerald L. Boerner
Keyword(s):  
Hand Temperature ◽  
Temperature Training

Extreme vertebral variation induced by temperature in a homozygous clone of the self-fertilizing cyprinodontid fish Rivulus marmoratus

1972 ◽  
Vol 50 (6) ◽  
pp. 733-744 ◽  
Author(s):  
C. C. Lindsey ◽  
Robert W. Harrington Jr.
Keyword(s):  
Early Development ◽  
Gene Pool ◽  
The Self ◽  
Selective Mortality ◽  
Genetic Uniformity ◽  
Rivulus Marmoratus ◽  
Meristic Variation ◽  
Retinal Pigmentation ◽  
High Degree ◽  
Hatching Temperature

Embryos from one clone of Rivulus marmoratus were reared at various constant temperatures ranging from 19.5 to 31.2C, sustained throughout early development, or else were transferred from 26 to 20C after various periods of development. Resultant vertebral counts were progressively lower at higher sustained temperatures (ranging from 34.94 to 32.57). Vertebral differences expressed as a percentage of the total count were greater in this (7.0%) than in previously reported comparable experiments on 14 other fish species (4.1% or less). In most previous experiments meristic variation may have been due, at least in part, to selective mortality acting on a varied gene pool. In R. marmoratus the high degree of genetic uniformity eliminates the likelihood of selective mortality as a cause of vertebral variation, which must therefore have been environmentally induced. Pectoral ray counts also were lower at higher sustained temperatures; other meristic series did not show sharp responses. Temperature transfer experiments showed that vertebral counts are determined within 4 days at 26C (by first appearance of retinal pigmentation). Pectoral ray counts are not fully determined until about 8 days, shortly before hatching. Temperature breaks produced "shock effect" in pectoral rays but not in vertebrae. The bearing of homozygosity on amplitude of temperature-induced vertebral variation is discussed.

scholarly journals Thermal-Feature System Identification for a Machine Tool Spindle

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1209
Author(s):  
Yuh-Chung Hu ◽  
Ping-Jung Chen ◽  
Pei-Zen Chang
Keyword(s):  
System Identification ◽  
Surface Temperature ◽  
State Space Model ◽  
Feature Model ◽  
Training Data ◽  
Internal Temperature ◽  
Mechanical Stiffness ◽  
Temperature Training ◽  
Time Invariant ◽  
Thermal Feature

The internal temperature is an important index for the prevention and maintenance of a spindle. However, the temperature inside the spindle is undetectable directly because there is no space to embed a temperature sensor, and drilling holes will reduce its mechanical stiffness. Therefore, it is worthwhile understanding the thermal-feature of a spindle. This article presents a methodology to identify the thermal-feature model of an externally driven spindle. The methodology contains self-made hardware of the temperature sensing and wireless transmission module (TSWTM) and software for the system identification (SID); the TSWTM acquires the temperature training data, while the SID identifies the parameters of the thermal-feature model of the spindle. Then the resulting thermal-feature model is written into the firmware of the TSWTM to give it the capability of accurately calculating the internal temperature of the spindle from its surface temperature during the operation, or predicting its temperature at various speeds. The thermal-feature of the externally driven spindle is modeled by a linearly time-invariant state-space model whose parameters are identified by the SID, which integrates the command “n4sid” provided by the System ID Toolbox of MATLAB and the k-fold cross-validation that is common in machine learning. The present SID can effectively strike a balance between the bias and variance of the model, such that both under-fitting and over-fitting can be avoided. The resulting thermal-feature model can not only predict the temperature of the spindle rotating at various speeds but can also calculate the internal temperature of the spindle from its surface temperature. Its validation accuracy is higher than 98.5%. This article illustrates the feasibility of accurately calculating the internal temperature (undetectable directly) of the spindle from its surface temperature (detectable directly).

Prediction of Egg Development Times of Freshwater Copepods

1978 ◽  
Vol 35 (10) ◽  
pp. 1322-1329 ◽  
Author(s):  
John M. Cooley ◽  
Charles K. Minns
Keyword(s):  
Development Time ◽  
Simple Procedure ◽  
Egg Development ◽  
Egg Hatching ◽  
Temperature Function ◽  
Is Development ◽  
Freshwater Copepods ◽  
The Relationship ◽  
Hatching Temperature

Available literature data on the relationship between freshwater copepod egg development time and temperature were summarized and fitted where possible to Bělehrádek's temperature function[Formula: see text]where D is development time, T is temperature, a, b, and α are fitted constants. In the calanoids, and to a lesser extent cyclopoids, a and α were predictably related as were α and in situ egg hatching temperature (TH) when b was assumed to be constant for all copepods. This information was used to describe a simple procedure whereby a curve relating egg development and temperature could be constructed by only knowing TH and applying it to Bělehrádek's temperature function. Key words: Calanoidea, Cyclopoidea, zooplankton, temperature, production assessment

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