scholarly journals Growth curve of Repartida goats reared in the Caatinga region, Brazil

2017 ◽  
Vol 38 (2) ◽  
pp. 1041 ◽  
Author(s):  
Luanna Chácara Pires ◽  
Théa Mírian Medeiros Machado ◽  
Paulo Luiz Souza Carneiro ◽  
João Batista Lopes da Silva ◽  
Andréa Duarte de Holanda Barbosa ◽  
...  
Keyword(s):  
Growth Rate ◽  
Body Weight ◽  
Growth Curve ◽  
Maximum Growth ◽  
Maximum Growth Rate ◽  
Lower Probability ◽  
High Birth Weight ◽  
Average Growth ◽  
Nutritional Deficit ◽  
Weight Data

This work aimed to determine which non-linear model (Brody, Gompertz, logistic, von Bertalanffy or Richards) best represents the average growth curve of goats, in addition to evaluating the effect of the environment. The weight data of 40 Repartida goats reared in the Brazil Caatinga were included in this study. Weight data was collected every 30 days from birth until 270 days of age. The parameters of the models (A, mature body weight; B, constant of integration; k, maturation rate; m, inflection point) were estimated using the NLIN procedure of SAS. The logistic model showed a slightly higher average fit in comparison to the other models. The absolute growth rate suggests that the maximum growth rate was reached early. The effect of the contemporary groups was significant (P < 0.05), but only for the estimated k parameter. The estimated correlation between the A and k parameters was significant and negative, indicating a lower probability of a high body weight in adulthood. Goats of the Repartida ecotype are characterized by their high birth weight and low weight at maturity, which combined with the nutritional deficit, suggests that these animals have adapted to the adverse conditions of the Brazilian Caatinga region.

scholarly journals Growth curve establishment for American Bronze turkeys (short communication)

2006 ◽  
Vol 49 (3) ◽  
pp. 293-299 ◽  
Author(s):  
I. E. Ersoy ◽  
M. Mendeş ◽  
S. Aktan
Keyword(s):  
Growth Rate ◽  
Body Weight ◽  
Profile Analysis ◽  
Growth Curves ◽  
Maximum Growth ◽  
Maximum Growth Rate ◽  
Weight Changes ◽  
Relative Growth ◽  
Male And Female ◽  
Absolute Growth

Abstract. The purpose of this study was to establish the growth curves parameters of American Bronze turkeys. The weekly body weight changes of male and female turkeys were recorded during 11 to 24 weeks of age. The Richards' growth model fitted the turkey weight and age (week) data. Profile analysis was also applied to weight-age data in order to get more detailed information about the differences in the live weights of male and female turkeys in consecutive weeks. Estimates for mature body weight were found as 9720.40 ± 971.33 g and higher for males than for females as 6029.96 ± 316.55 g. Based on Richards’ model, male turkeys matured more slowly and it was needed that a more time to reach mature body weight than female turkeys. Results of profile analysis supported those results. Estimates for the absolute growth rate, absolute maturing rate and relative growth rate values were higher for females when compared to males. Male turkeys reached the maximum growth rate at 16.30 weeks of age whereas female ones reached the maximum growth rate at 12.85 weeks of age. Live weights of male and female turkeys, when both reached the maximum growth rate, were 3475.61 g and 2156.06 g, respectively. Male turkeys reached 80 % of their mature weights at 24 weeks of age, whereas female ones reached 92% of their mature weight.

scholarly journals PREDICTING THE GROWTH CURVE OF BODY WEIGHT IN MALEO BIRDS (MACROCEPHALON MALEO)

2021 ◽  
Vol 4 (2) ◽  
pp. 59-63
Author(s):  
Widya Pintaka Bayu Putra
Keyword(s):  
Body Weight ◽  
Linear Regression ◽  
Growth Curve ◽  
Maximum Growth ◽  
Maximum Growth Rate ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Literature Study ◽  
Non Linear ◽  
The One

Maleo bird (Macrocephalon maleo) is the one of protected bird’s species and originated from Sulawesi island of Indonesia. This study was carried out to obtain the growth curve of body weight (BW) in mixed-sex Maleo birds from hatching to yearling ages. The growth curve in this study was calculated with non-linear regression of Logistic (L) and Gompertz (G) models using CurveExprt 1.4. computer program. The primary data in this study was cited from previous study through a literature study. Research showed that the asymptotic weight (A) in birds was 1825.34 g (L) and 3429.23 g (G). The weight of inflection (Wi) in studied birds were 912.67 g (L) and 1260.75 g (G). The time of inflection (ti) in birds was 8.51 months (L) and 11.00 months (G). The maximum growth rate in birds was 159.72 g/month (L) and 151.29 g/month (G). The coefficient of determination (R2) in both models included of very high category (0.80<R2<1.00) but the lower of standard error (SE) value showed in L model. It can be concluded that the non-linear regression of Logistic model can be used as BW predictors in mixed-sex Maleo birds.

A note on growth curves of rabbit lines selected on growth rate or litter size

1993 ◽  
Vol 57 (2) ◽  
pp. 332-334 ◽  
Author(s):  
A. Blasco ◽  
E. Gómez
Keyword(s):  
Growth Rate ◽  
Litter Size ◽  
Growth Curves ◽  
Live Weight ◽  
Maximum Growth ◽  
Maximum Growth Rate ◽  
Standard Errors ◽  
Adult Weight ◽  
Weight Growth ◽  
Using Data

Two synthetic lines of rabbits were used in the experiment. Line V, selected on litter size, and line R, selected on growth rate. Ninety-six animals were randomly collected from 48 litters, taking a male and a female each time. Richards and Gompertz growth curves were fitted. Sexual dimorphism appeared in the line V but not in the R. Values for b and k were similar in all curves. Maximum growth rate took place in weeks 7 to 8. A break due to weaning could be observed in weeks 4 to 5. Although there is a remarkable similarity of the values of all the parameters using data from the first 20 weeks only, the higher standard errors on adult weight would make 30 weeks the preferable time to take data for live-weight growth curves.

Reassessment of Maximum Growth Rates for C3 and C4 Crops

1978 ◽  
Vol 14 (1) ◽  
pp. 1-5 ◽  
Author(s):  
J. L. Monteith
Keyword(s):  
Growth Rate ◽  
Growth Rates ◽  
Growing Season ◽  
Maximum Growth ◽  
Maximum Growth Rate ◽  
Crop Growth ◽  
Close Inspection ◽  
Similar Difference ◽  
Photosynthetic Efficiencies

SUMMARYFigures for maximum crop growth rates, reviewed by Gifford (1974), suggest that the productivity of C3 and C4 species is almost indistinguishable. However, close inspection of these figures at source and correspondence with several authors revealed a number of errors. When all unreliable figures were discarded, the maximum growth rate for C3 stands fell in the range 34–39 g m−2 d−1 compared with 50–54 g m−2 d−1 for C4 stands. Maximum growth rates averaged over the whole growing season showed a similar difference: 13 g m−2 d−1 for C3 and 22 g m−2 d−1 for C4. These figures correspond to photosynthetic efficiencies of approximately 1·4 and 2·0%.

Interpretation of Experimental Data with Regard to the Activated Sludge Model No.1 and Calibration of the Model for Municipal Wastewater Treatment Plants

1992 ◽  
Vol 25 (6) ◽  
pp. 167-183 ◽  
Author(s):  
H. Siegrist ◽  
M. Tschui
Keyword(s):  
Experimental Data ◽  
Growth Rate ◽  
Activated Sludge ◽  
Municipal Wastewater ◽  
Wastewater Treatment Plants ◽  
Treatment Plant ◽  
Maximum Growth ◽  
Maximum Growth Rate ◽  
Municipal Wastewater Treatment ◽  
Activated Sludge Model

The wastewater of the municipal treatment plants Zürich-Werdhölzli (350000 population equivalents), Zürich-Glatt (110000), and Wattwil (20000) have been characterized with regard to the activated sludge model Nr.1 of the IAWPRC task group. Zürich-Glatt and Wattwil are partly nitrifying treatment plants and Zürich-Werdhölzli is fully nitrifying. The mixing characteristics of the aeration tanks at Werdhölzli and Glatt were determined with sodium bromide as a tracer. The experimental data were used to calibrate hydrolysis, heterotrophic growth and nitrification. Problems arising by calibrating hydrolysis of the paniculate material and by measuring oxygen consumption of heterotrophic and nitrifying microorganisms are discussed. For hydrolysis the experimental data indicate first-order kinetics. For nitrification a maximum growth rate of 0.40±0.07 d−1, corresponding to an observed growth rate of 0.26±0.04 d−1 was calculated at 10°C. The half velocity constant found for 12 and 20°C was 2 mg NH4-N/l. The calibrated model was verified with experimental dam of me Zürich-Werdhölzli treatment plant during ammonia shock load.

Dietary Protein Requirements of Fishes — A Reassessment

1987 ◽  
Vol 44 (11) ◽  
pp. 1995-2001 ◽  
Author(s):  
Stephen H. Bowen
Keyword(s):  
Growth Rate ◽  
Dietary Protein ◽  
Protein Concentration ◽  
Trophic Ecology ◽  
Maximum Growth ◽  
Maximum Growth Rate ◽  
Intake Rate ◽  
Protein Requirement ◽  
Fish Physiology ◽  
Protein Retention

It is widely believed that fishes require more dietary protein than other vertebrates. Many aspects of fish physiology, nutrition, and trophic ecology have been interpreted within the context of this high protein requirement. Here, fishes are compared with terrestrial homeotherms in terms of (1) protein requirement for maintenance, (2) relative protein concentration in the diet required for maximum growth rate, (3) protein intake rate required for maximum growth rate, (4) efficiency of protein retention in growth, and (5) weight of growth achieved per weight of protein ingested. The two animal groups compared differ only in relative protein concentration in the diet required for maximum growth rate. This difference is explained in terms of homeotherms' greater requirement for energy and does not reflect absolute differences in protein requirement. The remaining measures of protein requirement suggest that fishes and terrestrial homeotherms are remarkably similar in their use of protein as a nutritional resource. Reinterpretation of the role of protein in fish physiology, nutrition, and trophic ecology is perhaps in order.

Allometric scaling and taxonomic variation in nutrient utilization traits and maximum growth rate of phytoplankton

2012 ◽  
Vol 57 (2) ◽  
pp. 554-566 ◽  
Author(s):  
Kyle F. Edwards ◽  
Mridul K. Thomas ◽  
Christopher A. Klausmeier ◽  
Elena Litchman
Keyword(s):  
Growth Rate ◽  
Allometric Scaling ◽  
Maximum Growth ◽  
Nutrient Utilization ◽  
Maximum Growth Rate

Instability waves on the air–sea interface

1993 ◽  
Vol 248 ◽  
pp. 363-381 ◽  
Author(s):  
G. H. Wheless ◽  
G. T. Csanady
Keyword(s):  
Surface Tension ◽  
Growth Rate ◽  
Maximum Growth ◽  
Maximum Growth Rate ◽  
Surface Velocity ◽  
Instability Waves ◽  
Interface Surface ◽  
Fluid Properties ◽  
Compound Matrix Method ◽  
Order Of Magnitude

We used a compound matrix method to integrate the Orr–Sommerfeld equation in an investigation of short instability waves (λ < 6 cm) on the coupled shear flow at the air–sea interface under suddenly imposed wind (a gust model). The method is robust and fast, so that the effects of external variables on growth rate could easily be explored. As expected from past theoretical studies, the growth rate proved sensitive to air and water viscosity, and to the curvature of the air velocity profile very close to the interface. Surface tension had less influence, growth rate increasing somewhat with decreasing surface tension. Maximum growth rate and minimum wave speed nearly coincided for some combinations of fluid properties, but not for others.The most important new finding is that, contrary to some past order of magnitude estimates made on theoretical grounds, the eigenfunctions at these short wavelengths are confined to a distance of the order of the viscous wave boundary-layer thickness from the interface. Correspondingly, the perturbation vorticity is high, the streamwise surface velocity perturbation in typical cases being five times the orbital velocity of free waves on an undisturbed water surface. The instability waves should therefore be thought of as fundamentally different flow structures from free waves: given their high vorticity, they are akin to incipient turbulent eddies. They may also be expected to break at a much lower steepness than free waves.

scholarly journals Economics Research Output in BRICS Countries: A Scientometric Dimension

2019 ◽  
Vol 9 (1) ◽  
pp. 14-21
Author(s):  
Kiran P. Savanur
Keyword(s):  
Growth Rate ◽  
Web Of Science ◽  
Research Output ◽  
Activity Index ◽  
Citation Impact ◽  
Maximum Growth ◽  
Maximum Growth Rate ◽  
Economic Research ◽  
Brics Countries ◽  
Economics Research

This article examines the research output of economics published by BRICS countries during 1991-2016. Data collected from the Web of Science database. Growth rate (CAGR), Collaboration index, Transformative Activity index (TAI), Co-authorship index and Relative Citation Impact (RCI) indicators have been adopted to analyze the quantity and impact of economic research. We found that all five BRICS countries contributed approximately 10 percentile of the world’s economics research. The highest contribution was made by China with a total of 4424 articles which is 40.59 percent. Russia has the maximum growth rate of 27.99. Overall collaboration rate of economics publications of BRICS countries is moderate.

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