TY  - JOUR
T1  - Effects of Air Temperature and Humidity on Average Daily Gain for Different Genotype
Feedlot Cattle Corresponding Author
AU - Yazgan, Kemal AU - Datanbek, Cihan 
JO  - Journal of Animal and Veterinary Advances
VL  - 15
IS  - 8
SP  - 49
EP  - 57
PY  - 2016
DA  - 2001/08/19
SN  - 1680-5593
DO  - javaa.2016.49.57
UR  - https://makhillpublications.co/view-article.php?doi=javaa.2016.49.57
KW  - Feedlots
KW  -cattle
KW  -air temperatures
KW  -humidity
KW  -heat stress
KW  -Turkey
AB  - The aim of this study to compare THI method
using by average, minimum or maximum temperature and
humidity and to compare the Holstein (H), Brown Swiss
(BS), Simmental (S) and Anatolian Black Cross (ABC)
genotypes using in feedlot by ability to tolerate
temperature and humidity under climatic conditions of
Sanliurfa province of Turkey. Production data set
obtained by a commercial farm which consisted 70,594
test day records for 11,117 cattle (6513 Holstein, 3546
Brown Swiss, 838 Simmental and 220 Anatolian Black
Crosses). Weather data provided the nearest weather
station and 9.04 km away from to feedlot. Using daily
maximum, minimum and average air temperature and
humidity values, Temperature-humidity Index (THI)
values were calculated by three different combinations for
each animal. Analyses were based on model that included
effects of year, sex, age, season, days on feed, begin to
fattening and several types of THI. According to findings,
S and ABC genotypes slightly more tolerated the heat
stress compared with H and BS. In addition to
BCgenotype was more sensitive to cold stress when
compared other genotypes. On the other hand using
different combination of temperature and humidity
variable (max or min) in THI formula obtained different
breakpoint values for stress and comfort zone interval.
72 THI values which is a threshold for starts of heat stress
obtain using only maximum temperature and minimum
humidity variables in this study. Results from this study
indicated that trend of temperature and humidity in the air
were determinant factors for THI calculation types when
used data from the weather stations.
ER  -