scholarly journals Nonlinear Prediction Models for Estimation of Pre-weaning Body Weight of Pigs using Morphometric Traits

2020 ◽  
Author(s):  
Santanu Banik ◽  
Soumen Naskar ◽  
Keshab Barman ◽  
Pranab Jyoti Das ◽  
Sunil Kumar ◽  
...  
Keyword(s):  
Body Weight ◽  
Linear Prediction ◽  
Prediction Models ◽  
Prediction Equation ◽  
Body Measurement ◽  
Nonlinear Prediction ◽  
Morphometric Traits ◽  
Exponential Equation ◽  
Non Linear ◽  
Body Measurement Traits

Background: In the present study, a set of non-linear prediction equation was developed using records of body measurement traits, namely heart girth, punch girth, height at shoulder, height at back, height at fore leg, height at back leg and body length of pigs. Repeated measurement of traits at birth, 15 d, 30 d and weaning (42 d) of 394 piglets were used. Methods: The regression of body weight on body measurement traits showed non-linear relationship based on equation, Y = aXb. Correlation of heart girth with body weight (r2 = 0.968 for male and 0.969 for females; P less than 0.01) was highest among the traits studied. Result: Heart girth was found to be most suited among the traits to predict body weight in an exponential equation, Y = 0.00058 H2.49 and Y = 0.00061 H2.47 for male and females, respectively, explaining 96 percent of variation. 

scholarly journals A comparative study on chaoticity of equatorial/low latitude ionosphere over Indian subcontinent during geomagnetically quiet and disturbed periods

2010 ◽  
Vol 17 (6) ◽  
pp. 765-776 ◽  
Author(s):  
K. Unnikrishnan
Keyword(s):  
Time Series ◽  
Prediction Error ◽  
Correlation Dimension ◽  
Linear Prediction ◽  
Indian Subcontinent ◽  
Surrogate Data ◽  
Chaotic Behaviour ◽  
Quiet Period ◽  
Nonlinear Prediction ◽  
Non Linear

Abstract. In the present study, the latitudinal aspect of chaotic behaviour of ionosphere during quiet and storm periods are analyzed and compared by using GPS TEC time series measured at equatorial trough, crest and outside crest stations over Indian subcontinent, by employing the chaotic quantifiers like Lyapunov exponent (LE), correlation dimension (CD), entropy and nonlinear prediction error (NPE). It is observed that the values of LE are low for storm periods compared to those of quiet periods for all the stations considered here. The lowest value of LE is observed at the trough station, Agatti (2.38° N, Geomagnetically), and highest at crest station, Mumbai (10.09° N, Geomagnetically) for both quiet and storm periods. The values of correlation dimension computed for TEC time series are in the range 2.23–2.74 for quiet period, which indicate that equatorial ionosphere may be described with three variables during quiet period. But the crest station Mumbai shows a higher value of CD (3.373) during storm time, which asserts that four variables are necessary to describe the system during storm period. The values of non linear prediction error (NPE) are lower for Agatti (2.38° N, Geomagnetically) and Jodhpur (18.3° N, Geomagnetically), during storm period, compared to those of quiet period, mainly because of the predominance of non linear aspects during storm periods The surrogate data test is carried out and on the basis of the significance of difference of the original data and surrogates for various aspects, the surrogate data test rejects the null hypothesis that the time series of TEC during storm and quiet times represent a linear stochastic process. It is also observed that using state space model, detrended TEC can be predicted, which reasonably reproduces the observed data. Based on the values of the above quantifiers, the features of chaotic behaviour of equatorial trough crest and outside the crest regions of ionosphere during geomagnetically quiet and disturbed periods are briefly discussed.

scholarly journals COMPARISON OF SOME LINEAR BODY MEASUREMENT TRAITS OF LOCAL AND COMMERCIAL CHICKEN BREEDS OF SOUTH AFRICA

2021 ◽  
Vol 13 (1) ◽  
pp. 134-143
Author(s):  
Thobela Louis Tyasi ◽  
Khomotso Mashiloane ◽  
Kwena Mokoena
Keyword(s):  
Body Weight ◽  
Wing Length ◽  
T Test ◽  
Chest Circumference ◽  
Body Measurement ◽  
Layer Chicken ◽  
Commercial Chicken ◽  
Body Measurement Traits ◽  
Beak Length ◽  
Linear Body

Linear body measurement traits are used for the estimation of body weight in animal breeding to aid livestock farmers where the weighing scale is not available. The objective of the work was to determine the effect of breed on body weight (BW) and linear body measurement traits such as wing length (WL), keel length (KL), shank circumference (SC), chest circumference (CC) and beak length (BL) of two (Hy-line Silver Brown and Potchefstroom Koekoek) layer chicken layer breeds. A total of 100 layers with 50 for each breed were randomly selected for the study at the age of 22 weeks. Pearson’s correlation and Student T-Test were used for data analysis. Correlation was employed to examine the relationship between measured traits in each breed. Correlation findings showed that BW had a highly positive statistical significant correlation (p < 0.01) with WL (r = 0.76) in Potchefstroom Koekoek breed, while BW had a negative statistical significant correlation (p < 0.05) with WL (r = -0.27) in Hy-line Silver Brown chicken layer breed.  Student T-Test results indicated that Potchefstroom Koekoek chicken layer breed was statistically (P<0.05) heavier than Hy-line Silver Brown chicken layer breed. Potchefstroom Koekoek had longer wing length and chest circumference than Hy-line Silver Brown while Hy-line Silver Brown had longer (P<0.05) keel length, shank circumference and beak length than Potchefstroom Koekoek. It is concluded that the results suggest that Potchefstroom Koekoek chicken layer breed is a weightier indigenous layer but keel length, shank circumference and beak length might require improvement. It also suggests that improvement of WL might improve BW of Potchefstroom Koekoek breed while improvement of WL might decrease BW of Hy-line Silver Brown chicken layer breed.

scholarly journals Pile groups under axial loading: an appraisal of simplified non-linear prediction models

Géotechnique ◽  
2019 ◽  
Vol 69 (7) ◽  
pp. 565-579 ◽  
Author(s):  
Brian B. Sheil ◽  
Bryan A. McCabe ◽  
Emilios M. Comodromos ◽  
Barry M. Lehane
Keyword(s):  
Linear Prediction ◽  
Prediction Models ◽  
Axial Loading ◽  
Pile Groups ◽  
Non Linear

scholarly journals Relationships between body weight and some linear morphometric traits in Nigerian Nsukka ecotype local hens

Agro-Science ◽  
2021 ◽  
Vol 20 (3) ◽  
pp. 110-113
Author(s):  
N.E. Ikeh ◽  
O.R. Okwesili
Keyword(s):  
Body Weight ◽  
Growth Traits ◽  
Pearson Correlation ◽  
Coefficient Of Determination ◽  
Regression Equations ◽  
Body Measurements ◽  
Body Measurement ◽  
Thigh Circumference ◽  
Body Measurement Traits ◽  
Linear Body

Body weight (BW) and linear body measurements of 120 Nigerian Nsukka ecotype local hens in terms of body length (BL), chest girth (CG), thigh circumference (TC), thigh length (TL), and shank length (SL) were taken and subjected to Pearson correlation analysis to obtain the relationship between these growth traits. Multiple Linear Stepwise Regression procedure was used to find the best linear combination of the linear body measurements that can best predict BW. The findings showed that linear body measurement traits of Nigerian heavy ecotype local hens were strongly (p < 0.01) and positively correlated (0.5 < r) except thigh length which recorded a moderate value (0.3 < r > 0.5). The regression equations of linear body measurement traits with BW were positive with coefficient of determination ranging from 60.5-74.6%. The stepwise analyses showed shank length as best single measurement with R2 = 0.605, while inclusion of our five predictors in an equation resulted in R2 = 0.746. Thus, the following equation was generated: BW = – 1485.70 + 82.06 SL + 58.34 BL + 38.70 TC + 8.39 CG + 3.85 TL. This showed that they accounted for 74.6% of the variations in the BW of Nigerian heavy ecotype local hens. The prediction equations generated from linear body measurement traits are positive and strong, therefore can accurately be employed to predict the relative BW of Nigerian heavy ecotype local hens during selection programs as well as in the market with the use of measuring tape.

scholarly journals Different Body Measurement and Body Weight Prediction of Jamuna Basin Sheep in Bangladesh

2020 ◽  
Vol 18 (1) ◽  
pp. 183-196
Author(s):  
MA Sun ◽  
MA Hossain ◽  
T Islam ◽  
MM Rahman ◽  
MM Hossain ◽  
...  
Keyword(s):  
Body Weight ◽  
Live Weight ◽  
Standing Position ◽  
Prediction Equation ◽  
The Body ◽  
Stepwise Multiple Regression ◽  
Head Width ◽  
Body Measurement ◽  
Body Depth ◽  
Position Data

The aim of this study was to estimate different body measurements and derive prediction equation for live weight of Jamuna basin sheep using different body measurement. A total of 520 individual records of sheep (47 males and 473 females) including all temporary at nine-month age (320), first pair permanent at 1.6 year age (161) and 2nd pair permanent at two years age (39) were collected from two Upazila of Sherpur district. Body weight (BW) was taken using a weighing scale and different measurements were taken using the tailor's tape measure and measuring stick while animals were on standing position. Data were analyzed with the help of SPSS-v-20 computer package program. Average BW, wither height(WH), rump height(RH), body length(BL), sternum height(SH), body depth(RD), bi-costal diameter(BD), ear length(EL), rump width(RW), head width(HW), rump length(RL), head length(HL), heart girth(HG), cannon bone circumference(CC) and muzzle diameter(MD) were 12.28±2.75 kg, 49.42±3.78, 54.04±3.88, 49.38±4.57, 28.06±3.00, 53.09±4.40, 15.07±2.58, 8.66±3.32, 15.72±2.33, 12.87±2.20, 14.30±2.29, 18.23±2.30, 55.02±4.71, 9.22±1.01, and 16.65±1.73cm, respectively. According to sex BW, WH, RH, SH, RD and CC were found significant (p<0.001), HG and MD were found significant(p<0.01). Stepwise multiple regression analysis according to agein all temporary groups showed that the body weight was found the best fitted equation having the highest R2value 64% (BW = - 15.53+0.24HG+0.13WH+0.16BD-.1RW+0.05EL) whereas in 1.3-1.6 and 1.9-2 years age group the R2 value for BD was 56 (BW = - 15.65+0.31HG+0.22WH)and 83% (BW = -24.51+0.21RH+0.35HG+0. 19BL-0.78RL+1.2RW-0.87HW), respectively. R2value for BD in male (BW = -28.91+0.43HG+0.35WH) and female (BW = -10.62+0.27HG+ 0.13WH+0.06BD-0.13HW+0.07BL-0.10SH-0.10RL) was 88and 59%, respectively. It is concluded that the best prediction parameter of BW was HG, WH, BD, RW, EL, RH, BL and HW. SAARC J. Agri., 18(1): 183-196 (2020)

scholarly journals A non-linear prediction model for ageing foetal and neonatal sheep reveals basic issues in early neolithic husbandry

2021 ◽  
pp. 105344
Author(s):  
Nadja Pöllath ◽  
Ricardo García-González ◽  
Sevag Kevork ◽  
Ursula Mutze ◽  
Michaela I. Zimmermann ◽  
...  
Keyword(s):  
Prediction Model ◽  
Linear Prediction ◽  
Early Neolithic ◽  
Non Linear ◽  
Linear Prediction Model
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