The Relationship between Body Weight, Egg Weight, Incubation Period, Nestling Period and Nest Site in the Psittaciformes, Falconiformes, Strigiformes and Columbiformes.

1984 ◽  
Vol 32 (1) ◽  
pp. 57 ◽  
Author(s):  
DA Saunders ◽  
GT Smith ◽  
NA Campbell
Keyword(s):  
Body Weight ◽  
Incubation Period ◽  
Nest Site ◽  
Egg Weight ◽  
Incubation Periods ◽  
Nestling Period ◽  
The Relationship

The theory that landbirds which nest in holes tend to have larger clutches, longer incubation periods and longer nestling periods than those which nest in the open was tested by comparing the Psittaciformes, Columbiformes, Falconiformes and Strigiformes. It was found that among the graminivore-frugivores, the hole-nesting Psittaciformes produce larger clutches, have longer incubation and nestling periods than the open-nesting Columbiformes. Among the carnivore-insectivores, the Strigiformes (which predominantly nest in holes) produce larger clutches and have longer nestling periods than the open-nesting Falconiformes but there is no difference in incubation periods.

scholarly journals Relationship between egg weight, hatching weight and subsequent body weight in the Japanese quail

2020 ◽  
Vol 47 (1) ◽  
pp. 19-23
Author(s):  
V. O. Chimezie ◽  
A. A. Ademola ◽  
O. I. Alli ◽  
A. E. Jubril ◽  
B. O. Josiah
Keyword(s):  
Body Weight ◽  
Japanese Quail ◽  
Coefficient Of Determination ◽  
Egg Weight ◽  
Body Weights ◽  
The Mean ◽  
The University ◽  
Large Groups ◽  
The Relationship ◽  
Selection Of

An experiment to determine the relationship between egg weight, hatch weight and subsequent body weight of the Japanese quail was conducted. A total of 607 eggs collected over 6 days from an existing flock at the Animal Pavilion of the University of Ilorin were used for the experiment. Eggs were individually numbered, weighed and grouped into small (S) medium (M) and large (L) sized eggs based on the mean and standard deviation of the eggs. Mean egg weight were correlated and regressed with mean hatch weight and subsequent weight. Average egg weights were 10.23± 0.84g, 8.49± 0.72g and 6.94± 0.93g for the large, medium and small group respectively. The result showed relationship between egg weight and hatch weight were positive and highly significant (P < 0.01) with values of 0.973, 0.977 and 0.967 for small, medium and large groups, respectively. Relationship between hatch weights and weekly body weights were also positive and significant (P<0.01) for the medium and large groups only but decreased with age. Linear regression equation showed a significant coefficient of determination for weekly body weight using the values for small, medium and large egg weight values. The results of the study showed that egg weight can be reliably used for estimating body weight in Japanese quail and may be used as criteria for early selection of Japanese quail for body weight.

scholarly journals Canonical correlation analysis for studying the relationship between egg production traits and body weight, egg weight and age at sexual maturity in layers

2011 ◽  
Vol 50 (No. 4) ◽  
pp. 163-168 ◽  
Author(s):  
Y. Akbaş ◽  
Ç. Takma
Keyword(s):  
Body Weight ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Sexual Maturity ◽  
Egg Production ◽  
Production Traits ◽  
Egg Weight ◽  
Canonical Correlations ◽  
The Relationship

In this study, canonical correlation analysis was applied to layer data to estimate the relationships of egg production with age at sexual maturity, body weight and egg weight. For this purpose, it was designed to evaluate the relationship between two sets of variables of laying hens: egg numbers at three different periods as the first set of variables (Y) and age at sexual maturity, body weight, egg weight as the second set of variables (X) by using canonical correlation analysis. Estimated canonical correlations between the first and the second pair of canonical variates were significant (P &lt; 0.01). Canonical weights and loadings from canonical correlation analysis indicated that age at sexual maturity had the largest contribution as compared with body weight and egg weight to variation of the number of egg productions at three different periods. &nbsp;

scholarly journals Incubation period as a clinical predictor of botulism: analysis of previous izushi-borne outbreaks in Hokkaido, Japan, from 1951 to 1965

2006 ◽  
Vol 135 (1) ◽  
pp. 126-130 ◽  
Author(s):  
H. NISHIURA
Keyword(s):  
Public Health ◽  
Incubation Period ◽  
Case Fatality ◽  
Descriptive Epidemiology ◽  
Public Health Response ◽  
Risk Of Death ◽  
Health Response ◽  
Incubation Periods ◽  
The Relationship ◽  
Dose Dependent

This study investigated 21 foodborne type-E botulism outbreaks, without antitoxin administration, from 1951 to 1965 in Hokkaido, Japan, to characterize the descriptive epidemiology and evaluate the relationship between case fatality and incubation period. The median (25–75% quartile) attack rate and case fatality, which were evaluated by outbreak, were 58·3% (38·0–73·2) and 25·7% (0·1–50·0) respectively. Individual records of 64 diagnoses, including 31 deaths, were also examined using logistic regression analysis, revealing that a shorter incubation period is likely to result in a significantly higher risk of death (P=0·01). The observed case fatality was more than 50% for those who developed symptoms within the first 18 h after exposure, possibly reflecting underlying dose-dependent mechanisms. In the event of intentional contamination of food with botulinum toxin, rapidly determining the incubation periods may be critical for guiding public health response efforts.

scholarly journals Hubungan morfologi telur dengan bobot telur dan bobot DOC dengan bobot badan ayam Kampung F1

2021 ◽  
Vol 5 (1) ◽  
pp. 19-30
Author(s):  
Depison Depison ◽  
Redo Prawira ◽  
Gushariyanto Gushariyanto ◽  
Silvia Erina
Keyword(s):  
Body Weight ◽  
Body Size ◽  
Weight Gain ◽  
Egg Size ◽  
Body Weight Gain ◽  
Principal Component ◽  
Egg Weight ◽  
Research Material ◽  
Egg Morphology ◽  
The Relationship

This study aims to determine the relationship between egg morphology and egg weight and DOC weight with body weight of Kampung F1 chickens. The research material was 174 free-range chickens from hatching 315 eggs. The method used: experimental method. Data collected: egg size, egg weight, body weight, body weight gain, and body size. Data on egg size, egg weight, body weight, body weight gain and body size were analyzed using a t-test. The relationship between variables was analyzed regression and correlation analysis. Characteristics of body size and shape were analyzed principal component analysis. The results showed that egg size, egg weight, body weight, body weight gain and body size of male Kampung chickens were different (P <0.05) higher than females. Egg size affects egg weight, and DOC weight affects body weight at 4, 8, and 12 weeks of age. Egg size was positively correlated with male and female egg weights. DOC weight was positively correlated with body weight of Kampung chickens aged 4, 8, and 12 weeks. The closest correlation between egg size and egg weight was egg circumference (0.913), and DOC weight with body weight was weight at 4 weeks of age (0.936). In conclusion, the relationship between egg size and egg weight,  DOC weight and body weight were linear and  had appositive values.

scholarly journals Hatchling sex ratio, body weight and nest parameters for Chelonia mydas nesting on Sugözü beaches (Turkey)

2014 ◽  
Vol 37 (2) ◽  
pp. 177-182
Author(s):  
Ç Kılıç ◽  
◽  
O. Candan ◽  
Keyword(s):  
Body Weight ◽  
Sex Ratio ◽  
Incubation Period ◽  
Green Turtle ◽  
Chelonia Mydas ◽  
Nest Temperature ◽  
Apparent Relationship ◽  
Embryo Sex ◽  
Female Bias ◽  
The Relationship

We investigated the relationship between nest parameters, hatchling body mass, and sex ratio of green turtle, Chelonia mydas, embryos and hatchlings at the temperate nesting rookery of Sugözü Beach (Adana–Turkey). Mean nest temperature and distance from the sea were correlated, while mean nest temperature and incubation period were inversely related. There was no apparent relationship between incubation period and hatchling mass. Hatchling and embryo sex ratios, determined by histological examination, showed a 70.5% and 93.5% female bias, respectively. There was no correlation between sex and body weight of hatchlings,

PSVI-8 Meta-regression Analysis to Determine the Relationship Between Growing Pig Body Weight and Variation

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 218-219
Author(s):  
Andres Fernando T Russi ◽  
Mike D Tokach ◽  
Jason C Woodworth ◽  
Joel M DeRouchey ◽  
Robert D Goodband ◽  
...  
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Sample Size ◽  
Polynomial Regression ◽  
Data Sets ◽  
Regression Equations ◽  
Prediction Equations ◽  
Data Set ◽  
Rate Of Increase ◽  
The Relationship

Abstract The swine industry has been constantly evolving to select animals with improved performance traits and to minimize variation in body weight (BW) in order to meet packer specifications. Therefore, understanding variation presents an opportunity for producers to find strategies that could help reduce, manage, or deal with variation of pigs in a barn. A systematic review and meta-analysis was conducted by collecting data from multiple studies and available data sets in order to develop prediction equations for coefficient of variation (CV) and standard deviation (SD) as a function of BW. Information regarding BW variation from 16 papers was recorded to provide approximately 204 data points. Together, these data included 117,268 individually weighed pigs with a sample size that ranged from 104 to 4,108 pigs. A random-effects model with study used as a random effect was developed. Observations were weighted using sample size as an estimate for precision on the analysis, where larger data sets accounted for increased accuracy in the model. Regression equations were developed using the nlme package of R to determine the relationship between BW and its variation. Polynomial regression analysis was conducted separately for each variation measurement. When CV was reported in the data set, SD was calculated and vice versa. The resulting prediction equations were: CV (%) = 20.04 – 0.135 × (BW) + 0.00043 × (BW)2, R2=0.79; SD = 0.41 + 0.150 × (BW) - 0.00041 × (BW)2, R2 = 0.95. These equations suggest that there is evidence for a decreasing quadratic relationship between mean CV of a population and BW of pigs whereby the rate of decrease is smaller as mean pig BW increases from birth to market. Conversely, the rate of increase of SD of a population of pigs is smaller as mean pig BW increases from birth to market.

Sign in / Sign up

Export Citation Format

Share Document