จำนวน Repository ( 24 )

Effects of environmental management in evaporative cooling system (EVAP) house on productive performance of layer pullets
Effects of environmental management in evaporative cooling system (EVAP) house on productive performance of layer pullets

The research was conducted to study on effects of environmental management in evaporative cooling system (EVAP) house on productive performance of layer pullets. This study divided into 2 experiments. Experiment 1 was conducted to study on temperature and air velocity in evaporative cooling system (EVAP) house on productive performance of layer pullets. Four thousand and eight hundred layer pullets were raised on battery cage with 5 birds per cage and assigned in a Randomized Completely Block Design (RCBD) experiment with three treatments. Each treatment consisted of four blocks (four houses) and followed different temperature and air velocity in raising area of evaporative cooling system (EVAP) house as front area central area and back area. Results showed that temperature and air velocity in front area was grater body weight gain (BWG) average daily gain (ADG) and feed conversion ratio (FCR) of layer pullets than layer pullets were raised in back area of evaporative cooling system (EVAP) house (P<0.01) Experiment 2 was conducted to study on light color and number of H-Flame battery cage row in evaporative cooling system (EVAP) house on light intensity and productive performance of layer pullets. Nine thousand and six hundred layer pullets were raised on H-Flame battery cage with 5 birds per cage and assigned in a 2x4 factorial in Randomized Completely Block Design (RCBD) experiment with two factors. Factor A was light color comprised of range and blue). While Factor B was number of battery cage row comprised (first row second row third row and fourth row). Each treatment consisted of four blocks (four houses). Results showed that interaction between factor A and B on light intensity and uniformity of layer pullets with highly significantly different (P<0.01). However interaction between factor A and B and main effect (factor A and B) were investigated on body weight gain (BWG) average daily gain (ADG) and feed conversion ratio (FCR) (P>0.05). The data from this research was suggests the important for implicate to improve the egg production industry in further success.

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Spatial mathematical analysis : an application to mapping of dengue hemorrhagic fever in Thailand
Spatial mathematical analysis : an application to mapping of dengue hemorrhagic fever in Thailand

The objectives of this research are to estimate the morbidity rate of Dengue Hemorrhagic fever in each province of Thailand and to construct the map of the Dengue Hemorrhagic fever. A Bayesian model is used for the data analysis. The data are mathematical spatial correlated in the form of the conditional autoregressive model (CAR). The secondary data were collected at a provincial level. They were the number of Dengue Hemorrhagic fever patients rainfall and average temperature. The research found that the rainfall (RR = 1.0026) and the average temperature (RR = 1.2681) had influence on the morbidity of Dengue Hemorrhagic fever. The season during July to September had more influence on the morbidity of Dengue Hemorrhagic fever than during the other seasons. The top 5 highest morbidity rates per 100000 population were Chiangmai in October (1288.00) July (1096.00) September (804.30) Surin in October (772.30) and Nakhon Si Thammarat in August (666.20). The disease map constructed for showing the distribution of the disease is easy to understand and useful for public health.

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Risk factors for dengue fever in Thailand using mathematical Generalized Estimating Equation (GEE)
Risk factors for dengue fever in Thailand using mathematical Generalized Estimating Equation (GEE)

The objectives of this research were to investigate risk factors for Dengue fever in Thailand and to select an appropriate model. The generalized estimating equation (GEE) whose dependent variable has a Poisson distribution and a negative binomial distribution were studied. The secondary data consisting of the number of Dengue fever patients rainfall average temperature forest area household income were collected. Regions and seasons were also considered. The research found that the GEE whose dependent variable has a negative binomial is more appropriate to be used for Dengue patient data analysis. Central region and the season during Feb-Apr were assigned to be reference groups. Risk factors for Dengue fever were rainfall (Relative Risk (RR) = 1.0009) average temperature (RR = 1.1736) forest area (RR = 1.0482) southern region (RR = 2.7390) eastern region (RR = 2.0489) western region (RR = 1.4051) the season during May-Jul (RR = 3.0526) and Aug-Oct (RR = 3.2677)

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Development of packaging for household goods, salted eggs and wines for hubkapong agriculture cooperation group limited
Development of packaging for household goods, salted eggs and wines for hubkapong agriculture cooperation group limited

This rresearch aims to develop packaging for household goods salted eggs and wines produced by hubkapong agriculture cooperation group limited and to transfer the packaging technology to the cooperation group. Samples for evaluation of packaging prototype were consumers of the hubkapong agriculture cooperation group limited selected by convenience sampling. the target group for the transfer of packaging technology consisted of 40 members of the household goods salted eggs and wines group...

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