Factors affecting the return of young blue grouse to breeding range

1983 ◽  
Vol 61 (5) ◽  
pp. 1128-1132 ◽  
Author(s):  
Fred C. Zwickel

From 1969 to 1976, 1958 juvenile blue grouse, Dendragapus obscurus fuliginosus, were marked with patagial wing tags and(or) leg bands in east-central Vancouver Island. Return and(or) recovery records from these birds in their 2nd year of life or greater indicate no significant differences among annual cohorts, between sexes, by time of hatch, by body weight at hatch, or by age of maternal parent (yearling or adult). However, a difference in the returns of smaller and larger chicks at time of hatch approached significance (smaller, least). There was a constant and significant increase in rate of return of chicks first marked at from 1 to 10 weeks of age.

1980 ◽  
Vol 58 (5) ◽  
pp. 896-905 ◽  
Author(s):  
Fred C. Zwickel

An experiment in which yearlings of both sexes of blue grouse (Dendragapus obscurus fuliginosus) were removed from breeding range showed that about two times, or more, yearlings of each sex were identified here as compared with a nearby control area, though numbers of "surplus" yearlings varied among years. The removal of large numbers of yearlings from the experimental area did not reduce breeding density, except ephemerally in 1 year. Nor did the removal of these birds affect populations in the surrounding area. These data confirm results from earlier studies with blue grouse, that surplus yearlings of both sexes are present on the breeding range. Replacement yearlings of both sexes (those taking the place of birds removed) were able to breed, but those removed sequentially (1974 to 1976) were lighter in body weight than those captured on control areas or those that settled synchronously after a near-total removal experiment in the same area. I infer from these results that some form of behaviour keeps surplus yearlings from settling on the breeding range and that this behaviour is a key mechanism involved in the regulation of breeding density. The important behaviour may involve either yearling–yearling or adult–yearling interactions.


2011 ◽  
Vol 22 (2) ◽  
pp. 136-144 ◽  
Author(s):  
Alaa M. Roushdy ◽  
Noha Abdelmonem ◽  
Azza A. El Fiky

AbstractBackgroundComplications at the vascular access sites are among the most common adverse events in congenital cardiac catheterization. The use of small-gauge catheters may reduce these events; however, other factors can contribute to the development of vascular complications.ObjectivesTo determine factors associated with the development of vascular access complications in children undergoing congenital cardiac catheterization.MethodsWe performed a prospective study of 403 patients who underwent diagnostic (62.5%) or interventional (37.5%) cardiac catheterization over a period of 6 months, and analysed the vascular complications during and immediately after the procedure.ResultsThe most common access-related adverse event was transient loss of pulsation (17.6%). Other less common access-related adverse events included subcutaneous haematoma (2%), bleeding (3%), vessel tear (0.2%), and vein thrombosis (0.2%). Patients who had no access-related adverse events had significantly higher age and body weight compared with those who had one or more access problems. Among 81 patients who had vascular access established in unplanned access sites, 30 patients (37%) had lost pulsations. Among the 322 patients who had vascular access established in planned access sites, however, only 41 patients had lost pulsation (13%). In addition, patients who had lost pulsations had significantly longer puncture time compared to those who had normal pulsations (p value 0.01).ConclusionFactors other than sheath size can contribute to access-related adverse events in children undergoing cardiac catheterization. Obtaining vascular access in unplanned access sites and longer puncture times increases the incidence of lost pulsations after catheterization. Younger age and smaller body weight are also associated with significant increase in access-related adverse events.


Author(s):  
MR Begum ◽  
M Anaruzzaman ◽  
MSI Khan ◽  
M Yousuf

A cross sectional study was conducted to observe the factors affecting the productive performance of dairy cattle from northern rural areas of Bangladesh during July and September 2013. Data of 105 cows, 85 (80.95%) from local and 20 (19.05%) cows from cross breed, were randomly selected for the study. A binary logistic regression, expressed by odds ratio with 95% confidence interval, was done to determine the association of daily milk production categorized into ? 2 and > 2 liters (L), based on median, with the significant explanatory variables of body weight, age at first calving, lactation period, vitamin use, type of floor and milking person. The result demonstrated that the probability of milk production of >2 L was 6.16, 4.5, 20.65 and 5.7 times higher from the with animal body weight of >140 kg, age at first calving of >36 m, lactation period of >8 m and vitamin use than that of body weight of 140 kg, age at first calving of ?36 m, lactation period of ? 8 m, and not vitamin used respectively. The chance of milk production of > 2 L was 0.25 and 0.22 times lower for mud floor, and owner milking than that of brick floor and gowala (professional milking person) respectively. DOI: http://dx.doi.org/10.3329/ijarit.v4i2.22646 Int. J. Agril. Res. Innov. & Tech. 4 (2): 41-45, December, 2014


2019 ◽  
Vol 18 (3) ◽  
pp. 89-99
Author(s):  
Vinh Huy Chau ◽  
Anh Thu Vo ◽  
Ba Tuan Le

Abstract As a up and coming sport, powerlifting is gathering more and more attetion. Powerlifters vary in their strength levels and performances at different ages as well as differing in height and weight. Hence the questions arises on how to establish the relationship between age and weight. It is difficult to judge the performance of athletes by artificial expertise, as subjective factors affecting the performance of powerlifters often fail to achieve the desired results. In recent years, artificial intelligence has made groundbreaking strides. Therefore, using artificial intelligence to predict the performance of athletes is among one of many interesting topics in sports competitions. Based on the artificial intelligence algorithm, this research proposes an analysis model of powerlifters’ performance. The results show that the method proposed in this paper can predict the best performance of powerlifters. Coefficient of determination-R2=0.86 and root-mean-square error of prediction-RMSEP=20.98 demonstrate the effectiveness of our method.


2018 ◽  
Vol 33 (4) ◽  
pp. 605-609
Author(s):  
Hiroki YABE ◽  
Mizuki TSUKAMOTO ◽  
Shihomi TAKEUCHI ◽  
Sayaka ITO ◽  
Kan OMI ◽  
...  

2014 ◽  
pp. 171-176
Author(s):  
Angéla Soltész

I prepared a “model farm” producing fattening pigs in order to examine the main risk of production and market factors affecting the profitability of fattening pig production. Values of body weight (at the beginning of fattening and at the end of fattening), mortality rate, feed conversion ratio (FCR) of fattening pig as well as the main cost and price data were recorded as the input data of the model. Production value per unit, production cost per unit and income per unit were used as output. The Monte-Carlo simulation was used in the model for risk assessment. Based on the results of the analysis, it was concluded that the production value per unit was most affected by the selling price of fattening pig (ß=0.972), the production cost per unit were most influenced by the body weight at the beginning of fattening (ß=0.567) and the feed conversion ratio (ß=0.537), in addition, the change of the income per unit was most determined by the previously factors.


1966 ◽  
Vol 17 (4) ◽  
pp. 557 ◽  
Author(s):  
GH Brown ◽  
HN Turner ◽  
SSY Young ◽  
CHS Dolling

Estimates were made of the effects of the following factors on 10 fleece and body characteristics measured on breeding ewes aged 1½ to 10½ years in three mating groups over a period of 15 years: age of ewe, single or twin birth, age of dam, the ewe's own lambing performance, the year in which measurements were made, and the year in which each set of ewes was born. Two groups (S and MS) were under selection for high clean wool weight at 15–16 months, with a ceiling on wrinkle score and fibre diameter, while the third (C) was a random control. Changes with age were present in all characteristics and were similar in the three groups. The finding that selection on wool weight at an early age had no effect on subsequent age changes in any characteristic is of considerable importance. Greasy and clean wool weight reached a maximum at 34 years, then declined by 0.3–0.2 1b per year. Percentage clean yield, fibre diameter, body weight, and wrinkle score had maxima at 5½ to 6½ years. Staple length fell consistently by approximately 0.2 cm per year, while face cover rose consistently but slightly. Crimp number rose, fell, and rose again, while fibre number rose, fell, and remained constant from 4½ years. The chief source of increase in wool weight from l½ to 3½ years was an increase in the total number of fibres. The chief source of the subsequent fall was a decrease in fibre volume, with a minor contribution from a fall in total fibre number after 6½ years. Twin-born ewes cut 0.21 lb (4.2% of the mean) less clean wool per year over their lifetime than single-born ewes, while the progeny of 2-year-old ewes cut 0.32 lb (6.4%) less than the progeny of adults. The main source of lower weight in each case was a lower total fibre number. Pregnancy lowered clean wool weight more than lactation, the separate effects being 0.87 and 0.38 lb respectively (17.4 and 7.7% of the mean) and the combined effect 1.25 1b or 25.1%. Pregnancy lowered total fibre number but lactation had no further effect. Mean clean wool weights over all ages in the C group varied from year to year, the range being from 1.08 lb (21.6%)below the mean to 0.97 lb (19.4%) above. Differences in total fibre number contributed between one-third and two-thirds of the variation. Ewes born in consecutive years in the S and MS groups showed marked upward trends in clean wool weight, fibre number, and staple length, with a marked downward trend in crimp number and a slight upward trend in body weight. These trends demonstrate direct and correlated responses to the strong selection for high clean wool weight at 15–16 months of age, and the associated slight selection against fibre diameter and wrinkle score. The mean annual increases in clean wool weight were 0.15 and 0.11 Ib (3.0 and 2.2%) in the S and MS groups, approximately 40% of the increase arising from increased total fibre number and 40% from increased staple length. The effects of age and lambing performance can be used to predict productivity in flocks of differing age structures. As the casting age rises to 54 years changes in productivity are negligible. With a rise in casting age to 7½ years the average clean wool weight of the flock would fall by 0.14 lb, with a slight decrease in staple length and crimp number. These changes need to be balanced against any increased lambing percentage or decreased annual genetic gain due to increased generation interval. Comparison with other available figures indicates that age changes may vary from one area to another.


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