Recipients’ pregnancy rate was affected by season but not by the temperature humidity index (THI) in an equine commercial ET program in Southern Europe

2021 ◽  
Author(s):  
Fanelli Diana ◽  
Matteo Tesi ◽  
Martina Ingallinesi ◽  
Francesco Camillo ◽  
Duccio Panzani
Keyword(s):  
Pregnancy Rate ◽  
Southern Europe ◽  
Temperature Humidity Index ◽  
Humidity Index

scholarly journals Effect of the Temperature-Humidity Index on Body Temperature and Conception Rate of Lactating Dairy Cows in Southwestern Japan

2011 ◽  
Vol 57 (4) ◽  
pp. 450-456 ◽  
Author(s):  
Hisashi NABENISHI ◽  
Hiroshi OHTA ◽  
Toshihumi NISHIMOTO ◽  
Tetsuo MORITA ◽  
Koji ASHIZAWA ◽  
...  
Keyword(s):  
Body Temperature ◽  
Dairy Cows ◽  
Conception Rate ◽  
Temperature Humidity Index ◽  
Lactating Dairy Cows ◽  
Humidity Index

scholarly journals The Influence of Thermal Stress on Serum Biochemical Profile in Sheep

2021 ◽  
Author(s):  
J. Autukait ◽  
I. Poškienė ◽  
V. Juozaitienė ◽  
R. Antanaitis ◽  
W. Baumgartner ◽  
...  
Keyword(s):  
Thermal Stress ◽  
Biochemical Parameters ◽  
Climatic Factors ◽  
Small Ruminants ◽  
Cortisol Concentration ◽  
Stress Reactions ◽  
Temperature Humidity Index ◽  
Humidity Index ◽  
Group 2 ◽  
Suffolk Sheep

Background: Climatic factors, such as high temperature, high relative humidity, can induce a thermal stress in animals. The phenomenon of mammalian sensitivity to thermal stress, especially in small ruminants, is widely reported in the literature. The present study aimed to analyze temperature and humidity effects on serum metabolic profile and cortisol concentration in sheep. Methods: The experiment was conducted on 40 adult, non-lactating and non-pregnant Suffolk sheep from December 2018 to December 2019. The subgroups were formed by age (two groups): twenty sheep were about 1.5 years old (Group 1) and other twenty - about 3 years old (Group 2). Based on the value of the temperature-humidity index, the following three subgroups were formed: 1) temperature humidity index ≥20; 2) 20 greater than temperature-humidity index greater than 10 and 3) temperature-humidity index less than 10. Blood cortisol concentration and biochemical parameters were measured once per month on the same day, in identical animals. Result: The analysis of biochemical parameters revealed that Group 2 showed significantly higher values for creatinine, phosphorus, zinc and cortisol. All blood indicators, except iron, phosphorus and total bilirubin, were dependent on THI concentration. The highest positive correlation coefficient of cortisol was calculated with urea and total protein. It is concluded that both cortisol and biochemical parameters play a significant role in thermal stress reactions in the Suffolk sheep.

scholarly journals Critical Temperature-Humidity Index Thresholds for Dry Cows in a Subtropical Climate

2021 ◽  
Vol 2 ◽  
Author(s):  
Véronique Ouellet ◽  
Izabella M. Toledo ◽  
Bethany Dado-Senn ◽  
Geoffrey E. Dahl ◽  
Jimena Laporta
Keyword(s):  
Heat Stress ◽  
Respiration Rate ◽  
Rectal Temperature ◽  
Dry Matter ◽  
Dry Matter Intake ◽  
Subtropical Climate ◽  
Dry Period ◽  
Environmental Indices ◽  
Temperature Humidity Index ◽  
Humidity Index

The effects of heat stress on dry cows are profound and significantly contribute to lower overall welfare, productivity, and profitability of the dairy sector. Although dry cows are more thermotolerant than lactating cows due to their non-lactating state, similar environmental thresholds are currently used to estimate the degree of heat strain and cooling requirements. Records of dry cow studies conducted over 5 years in Gainesville, Florida, USA were pooled and analyzed to determine environmental thresholds at which dry cows exhibit signs of heat stress in a subtropical climate. Dry-pregnant multiparous dams were actively cooled (CL; shade of a freestall barn, fans and water soakers, n = 107) or not (HT; shade only, n = 111) during the last 7 weeks of gestation, concurrent with the entire dry period. Heat stress environmental indices, including ambient temperature, relative humidity, and temperature-humidity index (THI), and animal-based indices, including respiration rate, rectal temperature and daily dry matter intake were recorded in all studies. Simple correlations were performed between temperature-humidity index and each animal-based indicator. Differences in respiration rate, rectal temperature and dry matter intake between treatments were analyzed by multiple regression. Using segmented regression, temperature-humidity thresholds for significant changes in animal-based indicators of heat stress were estimated. Stronger significant correlations were found between the temperature-humidity index and all animal-based indices measured in HT dry cows (−0.22 ≤ r ≤ 0.35) relative to CL dry cows (−0.13 ≤ r ≤ 0.19). Although exposed to similar temperature-humidity index, rectal temperature (+0.3°C; P < 0.001) and respiration rate (+23 breaths/min; P < 0.001) were elevated in HT dry cows compared with CL cows whereas dry matter intake (−0.4 kg of dry matter/d; P = 0.003) was reduced. Temperature-humidity index thresholds at which respiration rate and rectal temperature began to change were both determined at a THI of 77 in HT dry cows. No significant temperature-humidity threshold was detected for dry matter intake. At a practical level, our results demonstrate that dry cow respiration rate and rectal temperature increased abruptly at a THI of 77 when provided only shade and managed in a subtropical climate. Therefore, in the absence of active cooling, dry cows should be closely monitored when or before THI reaches 77 to avoid further heat-stress related impairments during the dry period and the subsequent lactation and to mitigate potential carry-over effects on the offspring.

Temperature-Humidity Index described by fractal Higuchi Dimension affects tourism activity in the urban environment of Focşani City (Romania)

2018 ◽  
Vol 136 (3-4) ◽  
pp. 1009-1019 ◽  
Author(s):  
Ana-Maria Ciobotaru ◽  
Ion Andronache ◽  
Nilanjan Dey ◽  
Martina Petralli ◽  
Mohammad Reza Mansouri Daneshvar ◽  
...  
Keyword(s):  
Urban Environment ◽  
Temperature Humidity Index ◽  
Humidity Index ◽  
Tourism Activity

Evaluation of yeast supplementation in steers housed under suitable temperature–humidity index

2019 ◽  
pp. 1-9
Author(s):  
Giuseppe Piccione ◽  
Tamara Badon ◽  
Silvia Bedin ◽  
Claudia Giannetto ◽  
Massimo Morgante ◽  
...  
Keyword(s):  
Temperature Humidity Index ◽  
Suitable Temperature ◽  
Humidity Index

Effects of temperature and temperature-humidity index on the reproductive performance of sows during summer months under a temperate climate

2016 ◽  
Vol 87 (11) ◽  
pp. 1334-1339 ◽  
Author(s):  
Kerstin Wegner ◽  
Christian Lambertz ◽  
Gürbüz Das ◽  
Gerald Reiner ◽  
Matthias Gauly
Keyword(s):  
Reproductive Performance ◽  
Temperate Climate ◽  
Temperature Humidity Index ◽  
Humidity Index ◽  
Effects Of Temperature

A practical future-scenarios selection tool to breed for heat tolerance in Australian dairy cattle

2017 ◽  
Vol 57 (7) ◽  
pp. 1488 ◽  
Author(s):  
Thuy T. T. Nguyen ◽  
Ben J. Hayes ◽  
Jennie E. Pryce
Keyword(s):  
Heat Tolerance ◽  
Milk Fat ◽  
Heat Load ◽  
Selection Index ◽  
Dairy Herd ◽  
Breeding Value ◽  
Future Scenarios ◽  
Selection Tool ◽  
Temperature Humidity Index ◽  
Humidity Index

Climate change will have an impact on dairy cow performance. When heat stressed, animals consume less feed, followed by a decline in milk yield. Previously, we have found that there is genetic variation in this decline. Selection for increased milk production, a major breeding objective, is expected to reduce heat tolerance (HT), as these traits are genetically unfavourably correlated. We aimed to develop a future-scenarios selection tool to assist farmers in making selection decisions, that combines the current national dairy selection index, known as the balanced performance index (BPI), with a proposed HT genomic estimated breeding value (GEBV). Heat-tolerance GEBV was estimated for 12 062 genotyped cows and 10 981 bulls, using an established genomic-prediction equation. Publicly available future daily average temperature and humidity data were used to estimate mean daily temperature–humidity index for each dairy herd. An economic estimate of an individual cow’s heat-tolerance breeding value (BV_HT) was calculated by multiplying head-tolerance GEBVs for milk, fat and protein by their respective economic values that are already used in the BPI. This was scaled for each region by multiplying BV_HT by the heat load, which is the temperature–humidity index units exceeding the threshold per year at a particular location. BV_HT were incorporated into the BPI as: BPI_HT = BPI + BV_HT; where BPI_HT is the ‘augmented BPI’ breeding value including HT. A web-based application was developed enabling farmers to predict the future heat load of a herd and take steps to aim at genetic improvement in future generations by selecting bulls and cows that rank high for the ‘augmented BPI’.

Establishing Modularized Environmental Measurements and Analyzing and Applying Environmental Information for a Windowless Broiler House in Taiwan

2019 ◽  
Vol 62 (2) ◽  
pp. 303-313
Author(s):  
Yueh-Jung Li ◽  
Kuang-Wen Hsieh ◽  
Suming Chen ◽  
Perng-Kwei Lei
Keyword(s):  
Conversion Rate ◽  
Warning System ◽  
Environmental Information ◽  
Wireless Sensor ◽  
Daily Weight Gain ◽  
Feed Conversion ◽  
Temperature Humidity Index ◽  
Humidity Index ◽  
Feed Conversion Rate ◽  
Broiler House

Abstract. The purpose of this study was to apply wireless sensor modules to measure the environmental conditions in a windowless broiler house. An environmental index monitoring system was established that automatically estimated the temperature-humidity index (THI) and temperature-humidity-velocity index (THVI) according to the collected database. Finally, prediction of the relationships between the THI or THVI and the feed conversion rate (FCR) was studied. Nine sets of temperature, relative humidity, and wind velocity sensors were used for measuring the inside environment. An additional set was located outside the broiler house. The environmental database used this system of wireless sensors for collecting environmental information, quantifying the environmental indices, and establishing a warning system. The system automatically estimated the THI and THVI according to the database and presented the results in a user interface. Two areas of the broiler house were arranged for daily measurement of feed consumption and individual weight of the broilers for two experiments. These data were applied to calculate the daily weight gain and FCR. The first experiment was conducted from 9 September to 9 October (from summer to autumn) in 2016, and the second experiment was conducted from 3 November to 9 December (from autumn to winter) in 2016. During the experiments, there were no errors in the messages sent by the environmental database and warning system. These results serve as important references for predicting the FCR as well as the THI and THVI. The THVI of the first experiment and the THI of the second experiment predicted the FCR with a good relationship. The results show that the indoor and outdoor THI values could be higher than the standard values. In the FCR statistical analysis, the FCR of the second experiment was lower than the FCR of the first experiment, and they were both lower than the criterion FCR. This implies that opportunities exist for improving the broiler house environment in this subtropical climate. The results of this study could become an important reference for predicting the FCR with the THI and THVI. Finally, prediction of the relationships between the THI or THVI and the FCR were conducted. The results of the second experiment (R2 = 0.8327) were significantly better than the results of the first experiment (R2 = 0.5184). Keywords: Broiler, Feed conversion rate, Temperature-humidity index, Temperature-humidity-velocity index, Warning system, Wireless sensor module.

scholarly journals Correlations between Environmental Factors and Milk Production of Holstein Cows

Data ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. 103 ◽  
Author(s):  
Roman Mylostyvyi ◽  
Olexandr Chernenko
Keyword(s):  
Milk Production ◽  
Milk Fat ◽  
Global Climate ◽  
Environmental Parameters ◽  
The State ◽  
Weather Factors ◽  
Mathematical Functions ◽  
Temperature Humidity Index ◽  
Starting Point ◽  
Humidity Index

Global climate change is a challenge for dairy farming. In this regard, identifying reliable correlations between environmental parameters and animals’ physiological responses is a starting point for the mathematical modeling of their effects on the future welfare and milk production of cows. The aim of the study was to examine the relationship between environmental parameters and the milk production of cows in hot period. Archival data from the Ukrainian Hydrometeorological Center were used to study the state of insolation conditions (IC), wind direction (WD), wind strength (WS), air temperature (AT), and relative humidity (RH). The temperature–humidity index (THI) (Kibler, 1964) and temperature–humidity index in the hangar-type cowshed (THICHT) (Mylostyvyi et al., 2019) served as integral indicators of the state of the cowshed’s microclimate. The daily milk yield (DMY), yield of milk fat (MF) and milk protein (MP), and percentage of milk fat (PMF) and protein (PMP) were taken into account by the DairyComp 305 herd management system (VAS, USA). Statistical data processing was performed using the mathematical functions of Microsoft Excel (Microsoft Inc.) and Statistica 10 (StatSoft Inc.). There was a weak correlation between IC and DMY at r = −0.2, between RH and DMY at r = +0.4, and between RH and MF at r = +0.2. Between DMY, MF, MP, and WS made up r = –0.2 to 0.4. Between DMY, MF, MP, and AT made up r = −0.2 to 0.5 (p < 0.05). The effects of weather factors on animal productivity will be the subject of further research.

Sign in / Sign up

Export Citation Format

Share Document