scholarly journals Phenotypic correlation of hens body weight and reproductive traits of broiler parents

2016 ◽  
Vol 32 (2) ◽  
pp. 175-183
Author(s):  
Vladan Djermanovic ◽  
Sreten Mitrovic ◽  
Zivan Jokic ◽  
Goran Stanisic
Keyword(s):  
Body Weight ◽  
Correlation Coefficients ◽  
Reproductive Traits ◽  
Phenotypic Correlation ◽  
Production Cycle ◽  
The Difference ◽  
The Impact

Examinations were conducted in two flocks of broiler parents? hybrids Ross 308 and Cobb 500. At the beginning of the production cycle (24th weeks of age) was determined that the average hens body weight of hybrid Ross 308 was 2680.40 g, and to hybrid Cobb 500 was 2697.80 g. At 42nd weeks of age (middle of the production cycle) hens body weight was 3565.10 g (Ross 308) and 3599.05 g (Cobb 500), while at the end of the production cycle (61st weeks of age) hens body weight of hybrid Ross 308 was 3841.50 g, and to the Cobb 500 was 3850.00 g. Determined differences of hens body weight (17.40 g, 33.95 g and 8.50 g) in specific periods of the production cycle, and the difference in hens body weight for the entire cycle (23.26 g) weren?t statistically significant (P>0.05). Specific consideration of the impact of hens? body weight on reproductive performances of broiler parents was determined by calculating the coefficients of phenotypic correlation among the tested indicators. Thus, between hens body weight and most reproductive indicators of broiler parents were determined statistically very significant (P<0.001) coefficients of phenotypic correlation, while between hens body weight and the percentages of chickens feasibility from fertilized eggs were determined significant (P<0.001; P<0.01; P<0.05) correlation coefficients for a slightly shorter period than anticipated production cycle.

scholarly journals Effect of body weight of laying hens on production traits of broiler parents

2017 ◽  
Vol 33 (2) ◽  
pp. 201-209
Author(s):  
Vladan Djermanovic ◽  
Sreten Mitrovic ◽  
Milena Milojevic
Keyword(s):  
Body Weight ◽  
Laying Hens ◽  
Correlation Coefficients ◽  
The Body ◽  
Production Cycle ◽  
Productive Capacity ◽  
Production Traits ◽  
Phenotype Correlation ◽  
The Difference ◽  
Cycle 24

Certain investigations have been conducted in two broiler breeder flocks of Ross 308 and Cobb 500 hybrids. At the beginning of the production cycle (24 weeks of age), an average laying hens? body weight of 2680.40 g was found in the case of Ross 308 hybrid, and 2697.80 g in the case of Cobb 500 hybrid. During 42nd week of age (the middle of the production cycle), the body weight of laying hens was 3565.10 g (Ross 308) and 3599.05 g (Cobb 500), while at the end of the production cycle (61 weeks of age) the body weight of laying hens of Ross 308 hybrid was 3841.50 g, and 3850.00 g of Cobb 500. Identified differences in body weight of laying hens (17.40 g, 33.95 g, 8.50 g) in certain periods of the production cycle, as well as the difference in body weight of laying hens for the entire production cycle (23.26 g) were not statistically significant (P>0.05). More specific observation of the effect of body weight of laying hens on productive capacity of broiler breeders was determined by calculating the coefficients of phenotype correlation between the indicators studied. Thus, statistically significant (P<0.001, P<0.01, P<0.05) coefficients of phenotype correlation between the body weight of laying hens and the majority of production indicators have been determined, while statistically significant (P<0.001, P<0.01, P<0.05) correlation coefficients between the body weight of laying hens and the intensity of laying capacity for hatching and fertilized eggs have been determined, but for a shorter period of the production cycle.

scholarly journals Spatial and seasonal effects on the delayed ionospheric response to solar EUV changes

2019 ◽  
Author(s):  
Erik Schmölter ◽  
Jens Berdermann ◽  
Norbert Jakowski ◽  
Christoph Jacobi
Keyword(s):  
Southern Hemisphere ◽  
Geomagnetic Activity ◽  
Correlation Coefficients ◽  
Seasonal Effects ◽  
Constant Delay ◽  
Average Delay ◽  
Ionospheric Response ◽  
The Difference ◽  
Longitudinal Variability ◽  
The Impact

Abstract. This study correlates different ionospheric parameters with the integrated solar EUV radiation for an analysis of the delayed ionospheric response in order to confirm previous studies on the delay and to further specify variations of the delay. Several time series for correlation coefficients and delays are presented to characterize the trend of the delay from 2011 to 2013. The impact of the diurnal variations of ionospheric parameters in the analysis on hourly resolution for fixed locations are discussed and specified with calculations in different time scales and with comparison to solar and geomagnetic activity. An average delay for TEC of &amp;approx; 18.7 hours and for foF2 of &amp;approx; 18.6 hours is calculated at four European stations. Through comparison with the Australian region the difference between northern and southern hemisphere is analyzed and a seasonal variation of the delay between northern and southern hemisphere is calculated for TEC with &amp;approx; 5 ± 0.7 hours and foF2 with &amp;approx; 8 ± 0.8 hours. The latitudinal and longitudinal variability of the delay is analyzed for the European region and a decrease of the delay from &amp;approx; 21.5 hours at 30° N to &amp;approx; 19.0 hours at 70° N has been found. For winter months a roughly constant delay of &amp;approx; 19.5 hours is calculated. In this study a North-South trend of the ionospheric delay during summer month has been observed with &amp;approx; 0.06 hours per degree in latitude. The results based on solar and ionospheric data in hourly resolution and the analysis of the delayed ionospheric response to solar EUV show the seasonal and latitudinal variations. Results also indicate the dependence on the geomagnetic activity as well as on the 11-year solar cycle.

scholarly journals The Impact of Orthodontic Appliance on Body Weight Changes, Dietary Habits, and Self-Perceived Discomfort in Early Stages of Orthodontic Treatment

2018 ◽  
Vol 10 (9) ◽  
pp. 11
Author(s):  
Nancy Ajwa ◽  
Lamya Makhdoum ◽  
Hadeel Alkhateeb ◽  
Alanoud Alsaadoun ◽  
Samiah Alqutub ◽  
...  
Keyword(s):  
Body Weight ◽  
Orthodontic Treatment ◽  
Pain Perception ◽  
Dietary Habits ◽  
Weight Changes ◽  
Orthodontic Appliance ◽  
Observational Prospective Cohort Study ◽  
Patient Weight ◽  
The Difference ◽  
The Impact

AIMS: To assess and compare the changes in body weight, dietary habits, and pain perception of patient’s undergoing orthodontic treatment at the initial stage.MATERIAL &amp; METHODS: This was an observational prospective cohort study to assess patient’s changes in body weight, dietary habits, and pain perception undergoing orthodontic treatment at the initial stage. Thirty patients who received orthodontic treatment “for the first time” and those who will get comprehensive orthodontic treatment within the age group of 18-30 years old including both genders were included in the study. The weight as well as dietary habits of patients were measured at the initial visit, “prior reserving of any the orthodontic treatment” as (T0). Re-evaluation of patient’s weight, dietary habits, and pain perception were re-assessed on the next visit” after fixed orthodontic appliance bonding” as (T1) one month later. The pain, discomfort, and dietary habits changes were evaluated using a validated questionnaire.RESULTS: The mean (SD) patient weight at first and second visit of orthodontic treatment was 67.43 (24.42) and 64.98 (22.7) kg respectively. The difference in the patient weight between first and second visit was statistically significant. Patients with discomfort and patients who used medication to relieve pain were reported to have more weight loss.CONCLUSIONS: This study confirms the initial loss of weight, pain and discomfort among patients who undergo orthodontic treatments. The findings of this study are of importance among the orthodontic centres and practitioners highlighting the importance of their guidance in structured diet planning and advice after treatment. 

scholarly journals Effect of size sorting on the survival, growth and cannibalism in pikeperch (Sander lucioperca L.) larvae during intensive culture in RAS

2011 ◽  
Vol 56 (No. 11) ◽  
pp. 483-489 ◽  
Author(s):  
M. Szczepkowski ◽  
Z. Zakęś ◽  
B. Szczepkowska ◽  
I. Piotrowska
Keyword(s):  
Body Weight ◽  
Specific Growth ◽  
Positive Impact ◽  
Intensive Culture ◽  
Size Sorting ◽  
The Difference ◽  
Specific Growth Rates ◽  
The Impact ◽  
Average Body ◽  
Average Body Weight

The aim of the experiment was to determine the impact of sorting on the growth, survival, and cannibalism of pikeperch larvae during intensive culture in recirculation systems. Larvae aged 48 days post-hatch (DPH) were reared in three groups &ndash; small specimens (group S &ndash; average body weight 40 mg), large specimens (group L &ndash; average body weight 76 mg), and unsorted ones (group U &ndash; average body weight 55 mg). After three weeks of rearing, there were no statistically significant differences in specific growth rates among the groups. However, increases in biomass were higher in the sorted groups. Survival exceeded 50% in the sorted groups and 39% in group U. Higher cannibalism was noted in group U than in the sorted groups. Significant differences among the sorted groups were observed in cannibalism, which was higher in group L, and in natural and manipulation losses, which were higher in group S (P &lt; 0.05). During the first two weeks of rearing, the lowest cannibalism rates were observed in group S, the difference between groups S and U was statistically significant (P &lt; 0.05). The results of the experiment indicate that the sorting of pikeperch larvae has a positive impact on the survival rate, however, it has no impact on growth during their rearing in the RAS.

scholarly journals Effect of mating method, sex and birth type on growth of lambs

2013 ◽  
Vol 29 (2) ◽  
pp. 277-286 ◽  
Author(s):  
Zoran Ilic ◽  
A. Jevtic-Vukmirovic ◽  
M.P. Petrovic ◽  
V. Caro-Petrovic ◽  
B. Milosevic ◽  
...  
Keyword(s):  
Body Weight ◽  
Statistical Analysis ◽  
Statistical Significance ◽  
Reproductive Traits ◽  
The Body ◽  
Estrus Synchronization ◽  
Body Weights ◽  
The Difference ◽  
Mating Method ◽  
Birth Type

Estrus synchronization methods was use to control the reproductive traits of sheep, as well as bringing more females at the same stage of estrus and ovulation. According to the points mentioned above, the aim of the present study was to investigate and compare mating method and influence of fixed factors on birth and weaning weight of lambs. Statistical analysis showed that exist difference in the body weights between genotypes of lambs. In the first group, the difference in weight of lambs at birth, regardless of mating method was not significant (P> 0.05), while in the second group, the difference was slightly significant (P <0.05). As for the birth type, sex and within the same genotype, there was a statistical significance (P <0.05) between singles obtained naturally, between the triplets obtained naturally and between triplets received hormonal method. All the differences between body weight at 30 days (mating method, sex and birth type under the same genotype) were statistically significant (P <0.05).The determined differences in the body weights at 60 days (sex, mating method and type of birth under the same genotype) were statistically significant (P <0.05). The results showed that the differences (mating method, sex and type of birth under the same genotype) were statistically significant (P <0.05), except in between body weight at 90 days in twins among two genotypes obtained by natural method, which were not statistically significant (P> 0.05).

Impact of weight and creatinine measurements in carboplatin dosing.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e13027-e13027 ◽  
Author(s):  
Feriel Boumedien ◽  
Youri Arsenault ◽  
Nathalie LeTarte
Keyword(s):  
Body Weight ◽  
Serum Creatinine ◽  
Actual Body ◽  
Retrospective Chart Review ◽  
Actual Body Weight ◽  
Calculated Dose ◽  
The Difference ◽  
The Impact ◽  
Carboplatin Dose ◽  
Creatinine Measurement

e13027 Background: Controversy surrounding weight in Carboplatin dosing is still current. Also, new methods of measuring serum creatinine have raised more questions regarding the precision of Carboplatin dose calculations. The two objectives of this study were to evaluate the impact of alternative weight indicators (actual and adjusted body weight) in the Cockcroft–Gault equation and the use of different creatinine measurements (standard and IDMS) in order to accurately predict Carboplatin dose. Methods: We performed a retrospective chart review on all patients who received at least one dose of Carboplatin between March 7th and May 8th 2010. The patients were divided into two groups according to their body mass index (BMI): 20 < BMI < 27 and BMI ≥ 27. The differential creatinine clearance and Carboplatin dose were assessed in each group using the actual body weight and the adjusted body weight with IDMS creatinine. Moreover, for patients who had their creatinine measurement at the CHUM hospital, we calculate the difference in Carboplatin dose by using the standard creatinine (SC) measurement and IDMS creatinine with the same weight. Results: A total of 95 patients, representing 119 Carboplatin doses, were included in the analysis. 82% were women and median age was 63. The average BMI was 26,6. The Carboplatin expected AUC was 5 for 89% of patients and Carboplatin was associated to Paclitaxel in 78% of patients. In patients with a 20<BMI< 27 (44%), the average difference between the calculated dose using their actual body weight and adjusted body weight was +6.03% (95% CI, 5.2 to 6.9%). For patients with a BMI ≥ 27 (43%), the mean dose difference was +20.6% (95% CI, 18.8 to 22.5%). The use of SC or IDMS creatinine led to a discrepancy in doses of 5.2% (95% CI, 4.7 to 5.7%) for patients with BMI <27 (35 patients) and 5.5% (95% CI, 4.9 to 6.2%) for those with BMI ≥ 27 (23 patients). Conclusions: Based on these findings, we decide in our clinic, to use the actual body weight for patients with a BMI between 20 and 27, and the adjusted body weight for those with a BMI ≥ 27. We also chose not to modify our doses based on the type of the serum creatinine measurement.

Genetic studies on growth, reproduction and wool productiontraits in Harnali sheep

2016 ◽  
Author(s):  
SPACE Lalit ◽  
Z. S. Malik ◽  
D. S. Dalal ◽  
C. S. Patil ◽  
S. P. Dahiya
Keyword(s):  
Body Weight ◽  
Growth Traits ◽  
Additive Genetic Variance ◽  
Genetic Correlations ◽  
Fibre Diameter ◽  
Reproductive Traits ◽  
Phenotypic Correlation ◽  
Reproduction Traits ◽  
Heritability Estimates ◽  
Fleece Weight

Data on growth, reproduction and wool traits of 1603 Harnali sheep maintained at Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar over a period of 22 years (1992-2013) were utilized for genetic analysis. The overall least squares mean for birth weight (BW), weaning weight (WW), six month body weight (SMW), age at first lambing (AFL), weight at lambing (WL), average lambing interval (ALI), greasy fleece weight (GFW), staple length (SL) and Fibre diameter (FD) were estimated as 3.35±0.02 kg, 12.41±0.08 kg, 16.30±0.12 kg, 707.05±2.07 days, 26.91±0.10 kg and 402.85±2.40 days, 1.62±0.02 kg, 5.65±0.03 cm and 25.85±0.07 μ, respectively. The effect of year of birth, sex of lamb and dam's weight at lambing were significant for all growth traits. The effect of year of birth and dam's weight at lambing were significant for all reproduction traits and GFW. No definite trend was observed over the years for body weights and reproductive traits. The effect of sex was significant for early growth traits. The heritability estimates were moderate for all the growth traits with high genetic correlations of BW and WW with SMW. Reproduction traits had lower estimates of heritability which indicated presence of lower additive genetic variance for these traits. Heritability estimates for studied wool traits were moderate to high. Positive genetic and phenotypic correlation of BW and WW with six month body weight and grease fleece weight indicated that selection for six month body weight would increase body weight and grease fleece weight.

scholarly journals Growth rate, phenotypic correlation and repeatability estimates of body weight and linear body traits of Cobb and Arbor Acre broiler strains

2020 ◽  
Vol 44 (1) ◽  
pp. 39-47
Author(s):  
O. M. Obike ◽  
R. J. Nosike ◽  
D. N. Onunkwo ◽  
O. C. Obi ◽  
E. N. Obasi ◽  
...  
Keyword(s):  
Body Weight ◽  
Growth Performance ◽  
Wing Length ◽  
Correlation Coefficients ◽  
Phenotypic Selection ◽  
Phenotypic Correlation ◽  
Potential Response ◽  
Stages Of Growth ◽  
High Repeatability ◽  
Linear Body

Correlation coefficients are useful tool in animal breeding as a means of predicting potential response. In this study, body weight (BW) and linear body traits records of Arbor Acre and Cobb broiler strains obtained at 3 – 8 weeks were used to compare the growth performance of the strains as well as estimate the phenotypic correlations (rp ) among BW and the linear body traits. Repeatability (R) values of BW and the linear body traits were estimated at weeks 3, 5 and 7. Atotal of 200 day old chicks, 100 each of Arbor Acre and Cobb were used for the study. The linear body traits considered were body length (BL), shank length (SL), chest circumference (CC), keel length (KL), wing length (WL) and drum stick length (DSL). Significant differences (P<0.05) were observed between the strains for BW and the linear body traits at the various weeks. BW differed significantly at weeks 5, 6 and 7, which ranged from 1036.67 ± 36.93 – 1736.67 ± 46.41 for Arbor Acre and 930.00 ± 20.59 – 1563.33 ± 33.26 for Cobb. Arbor Acre showed significant (P<0.05) superiority to Cobb in their linear body traits in most of the weeks. BW had high significant (P<0.05; P<0.01) positive rp with the linear body traits, which ranged from 0.535 (KL) – 0.842 (BL) for Arbor Acre and 0.523 (SL) – 0.834 (BL) for Cobb. The rp among the linear body traits in both Arbor Acre and Cobb were positive but ranged from moderate to high. The R estimate of BW of Arbor Acre and Cobb were all very highly repeatable at weeks 3, 5 and 7 ranging from 0.90 – 0.99. R values for the linear body traits ranged majorly from moderate {(0.31 – 0.67 and 0.37 – 0.69)}to high {(0.78 – 0.97) and 0.97) and (0.71 – 0.92)} for Arbor Acre and Cobb, respectively across the weeks evaluated. The result of this study indicates that Arbor Acre could be a strain of choice for rearing in our study area owing to its superiority over Cobb in terms of growth performance. All the linear body traits measure were good estimators of BW in both strains as well as each other, implying that any phenotypic selection on one trait will lead to improvement of others. The high repeatability estimates of body weight and some of the linear traits indicate that fewer records would be required to adequately characterize the inherent growing ability of the birds at the various stages of growth.

scholarly journals Body Weight Effect on Body Image among Gym Users and Non-Gym Users

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Vidhi Khanna ◽  
Ekant Sharma ◽  
Shashvat Chauhan ◽  
Pragyendu ◽  
Sonal D. Parmar ◽  
...  
Keyword(s):  
Body Image ◽  
Body Weight ◽  
Crucial Role ◽  
Health Clubs ◽  
Body Image Scale ◽  
Significant Difference ◽  
Weight Effect ◽  
Males And Females ◽  
The Difference ◽  
The Impact

Body image relates to how a person thinks and feels about his or her own body. Body image plays crucial role for the Indian gym user adults for their physical look. Gym users often are concerned about their physical appearance, dissatisfied with their look and weight, or want to lose weight. The aim of the present study was to find out the difference in body image between adult gym users and non-gym users and to study the impact of weight difference in body image among adults. The sample consisted of 60 gym user adults and 60 non-gym user adults. Gym users were selected randomly from various health clubs of Rajkot city and non-gym users were selected from areas of Rajkot city in Gujarat. Body image scale constructed by Dean Jade was used to measure body image among gym user and non-gym user’s adults. The data was analyzed in terms of mean, SD, and ‘t’test. The result of t-test revealed significant difference in body image between adult gym users and non-gym users. Gym users were more dissatisfied with their body image than non-gym users. Non-gym user males and females had satisfactory body image, whereas gym user males and females had dissatisfaction with their body. Similarly people having more weight were dissatisfied with their body image as compared to people having less weight.

72 Relationships Among Lifetime Feed Efficiency Traits in Growing Heifers, Mature Cows and Their Progeny

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 118-119
Author(s):  
Phillip A Lancaster ◽  
Mike Davis ◽  
Jack Rutledge ◽  
Larry Cundiff
Keyword(s):  
Body Weight ◽  
Milk Yield ◽  
Feed Intake ◽  
Feed Efficiency ◽  
Pearson Correlation ◽  
Average Daily Gain ◽  
Random Effect ◽  
Correlation Coefficients ◽  
Test Body ◽  
Production Cycle

Abstract Uncertainty exists in relationships among feed efficiency traits in different production stages. The objective of this study was to evaluate the relationships among feed efficiency traits measured in various stages of production. Data were collected from 1953 through 1980 from dams (n = 160), and their progeny (n = 406). Individual feed intake was measured from 240 d of age through weaning of 3rd calf for dams, and from weaning to slaughter for progeny. Body weight was measured at 28-d intervals until first parturition for heifers and slaughter for progeny, and cows were weighed at parturition and weaning each production cycle. Milk yield of dams was measured at 14-d intervals throughout lactation. Residual feed intake was computed as the residual from linear regression of daily DMI on metabolic mid-test body weight, average daily gain, and milk yield for dams only with year-diet-breed factor as a random effect using lmer function in R software. Pearson correlation coefficients were computed using corr.test function. Pearson correlations of RFI with DMI ranged from 0.58 to 0.74 and with feed:gain or feed:milk ranged from 0.24 to 0.67 within production stage. Heifer RFI was correlated with cow RFI during parity 1 (0.74), but not parity 2 (0.11) or 3 (-0.06). Heifer RFI was correlated with progeny 3 RFI (0.17), but not progeny 1 or 2 RFI. Cow RFI was weakly correlated among parities (0.25 to 0.36) whereas feed:milk was strongly correlated (0.56 to 0.70). Cow RFI was not correlated with progeny RFI of the same parity. In conclusion, RFI was poorly correlated across stage of production.

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