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Indian Journal of
Animal Research
Print ISSN: 0367-6722
Online ISSN: 0976-0555
NASS Rating
6.40
SJR
0.233
CiteScore
0.606

Chief Editor:
M. R. Saseendranath
Kerala Veterinary and Animal Science University, Mannuthy, Thrissur, INDIA
Frequency:Monthly
Indexing:
Science Citation Index Expanded, BIOSIS Preview, ISI Citation Index, Biological Abstracts, Scopus, ...

Research Article

Indian Journal of Animal Research, volume 55 issue 11 (november 2021) : 1383-1386

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

Santanu Banik1,*, Soumen Naskar1, Keshab Barman1, Pranab Jyoti Das1, Sunil Kumar1, Swaraj Rajkhowa1
1ICAR-National Research Centre on Pig, Guwahati-781 131, Assam, India.
Cite article:- Banik Santanu, Naskar Soumen, Barman Keshab, Das Jyoti Pranab, Kumar Sunil, Rajkhowa Swaraj (2021). Nonlinear Prediction Models for Estimation of Pre-weaning Body Weight of Pigs using Morphometric Traits . Indian Journal of Animal Research. 55(11): 1383-1386. doi: 10.18805/IJAR.B-4174.

ABSTRACT

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<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. 

INTRODUCTION

Body measurement traits have widely been used to predict the body weight of farm animals by deriving prediction equation. The method is more commonly used in cattle (El Khidir, 1980; Goe et al., 2001) and to a lesser extent for sheep, pigs and poultry (Lawrence and Fowler, 1997, Singh et al., 2001, Rani et al., 2016, Kumar et al., 2018). Growth is a complex biological process that is induced by differential development rates of body tissues. In practice, external measurements of the body have been used to estimate the development of the skeleton and/or soft tissues of the body (Atta and El Khidir, 2004). According to Sulieman et al., (1990), body length is the distance between scapula and pin bones, while Sandford et al., (1982) described it as the distance between tip of scapula and ischium. Sulieman et al., (1990) reported that body length and height at wither were skeletal measurements that were less variable compared to body weight while considering knee and hock heights as early maturing dimensions. Lawrence and Fowler (1997) observed that the coefficient of determination of multiple regression of heart girth and any other linear measurement on body weight was slightly higher than that of the simple regression of heart girth on body weight. Further, the relationship between heart girth and live weight has been reported to be curvilinear in animals growing over a wide weight range (Lawrence and Fowler, 1997).
       
In present study, the reliability of different 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 was evaluated for prediction of live weight of pig.

MATERIALS AND METHODS

Description of the study area
 
The present study was carried out using records of 394 Ranicrossbred pigs (Hampshire × Ghungroo) maintained at nucleus pig breeding farm of ICAR-National Research Centre on Pig, Guwahati (latitude 26.01° N and longitude  91.34° E; 56 m above MSL), located in north-eastern part of India. Pig farming is one of the major livelihood sources of socio-economically poor farmers of this region. Though north-eastern part of India hosts more than 64 per cent pig population available in the country (20th Livestock Census Report, 2019), still there is a wide deficit between demand and supply of pork for this region in particular and country as a whole, to the tune of 45.45 per cent (Vision 2030, 2011).
 
Animals
 
Looking to the demand-supply gap, mainly due to low production base characterized by low-producing indigenous pig; a crossbreeding programme was initiated at ICAR-National Research Centre on Pig, Guwahati by using Ghungroo pigs as indigenous and Hampshire as exotic breed with the objective to develop a suitable variety adapted to local climatic condition with better productive and reproductive performance. The developed Rani crossbred pigs were evaluated for their performance both at organized farm as well as subsistence low-input production system as farmers’ field. A prediction equation for body weight based on body measurement might be useful for early selection of piglets.
 
Managemental practice
 
Piglets were housed with their dam in indoor pens (12.0 ft X 10.0 ft with concrete flooring) varying from 6 to 10 piglets per pen. Water was made available ad lib at all times. Starter ration (maize 55.0%, deoiled ground nut cake 21.0%, soybean meal 17.0%, wheat bran 5.5%, mineral mixture 1.0% and salt 0.5%; ME 13.78 MJ/kg diet and CP 24%) of 20g per animal were offered from third week onward till weaning as per NRC recommendation (NRC, 1998). The amount of ration was gradually increased by 20 g/week till it reached 80 g/piglet/d at the time of weaning (wk 6). Veterinary care including deworming and vaccination against swine fever and FMD was routinely offered. The piglets were individually marked by tag for identification.
 
Measurements
 
The records of 394 piglets comprising of 218 male and 176 female, maintained at the farm during 2017-2019, were used for heart girth (circumference around barrel behind fore legs), pounch girth (circumference around barrel before hind legs), height at shoulder (ground to point of shoulder), height at back (ground to point of pin bone), height at fore leg (ground to barrel at fore leg), height at hind leg (ground to barrel at hind leg) and body length (point of wither to starting point of tail) (Banik et al., 2012; Machebe et al., 2016). Weight (kg) and other body measurement traits (cm) of all the animals were recorded on birth, at 15 d, 30 d and 42 d (weaning). Thus a total of 872 and 704 observation was used to calculate the prediction equation in male and female, respectively.
 
Statistical analysis
 
A least square model (Harvey, 1987) incorporating age of animal and sex was used to estimate their effect on preweaning body weight of pigs. Pooled data over the age was used to predict body weight based on Y = aXb, where Y is body weight, X is body measurement, a is constant and b is regression coefficient (Brody, 1945; Lawrence and Fowler, 1997; Atta and El khidir, 2004). The Pearson correlation coefficients (r) for body weight with other body measurement traits were also estimated. The data was analyzed using Statistical Package for the Social Sciences for Windows Version 16.0 (SPSS Inc; Chicago, IL, USA).

RESULTS AND DISCUSSION

The relationship of body weight with heart girth (0.968), pounch girth (0.933), height at shoulder (0.884), height at back (0.914), height at fore leg (0.946), height at hind leg (0.955) and body length (0.946) were high and highly significant in male piglets. Corresponding estimates in the female piglets were 0.969, 0.937, 0.909, 0.922, 0.951, 0.959 and 0.951, respectively. The following equations represent non-linear regression of body weight on different parameters. 

For male piglets
 
Y  =  0.00058 H2.49; r2 value = 0.96                                             (1)
Y  =  0.00334 P2.11;  r2 value = 0.87                                             (2)
Y  =  0.02073 S1.65;  r2 value = 0.72                                            (3)
Y  =  0.00288 B2.25;  r2 value = 0.81                                             (4)
Y  =  0.00747 F2.25;  r2 value = 0.87                                            (5)
Y  =  0. 00598 L2.30;  r2 value = 0.88                                            (6)
Y  =  0.00045 BL2.55;  r2 value = 0.92                                           (7)
 
For female piglets
 
Y = 0.00061 H2.47;  r2 value = 0.96                                              (8)
Y = 0.00307 P2.13;  r2 value = 0.88                                               (9)
Y = 0.01260 S1.81;  r2 value = 0.77                                              (10)
Y = 0.00269 B2.28;  r2 value = 0.82                                              (11)
Y = 0.00678 F2.28;  r2 value = 0.88                                              (12)
Y = 0.00621 L2.28;  r2 value = 0.89                                              (13)
Y = 0.00046 BL2.54;  r2 value = 0.93                                           (14)
 
Where,
Y is the body weight (kg) and H, P, S, B, F, L, BL are heart girth, punch girth, height at shoulder, height at back, height at fore leg, height at back leg and body length (cm), respectively.
       
The r2-values of non-linear equations of body weight with different parameters varied from 0.72 to 0.96 and 0.77 to 0.96 in male and female piglets, respectively. It was found that heart girth is most suited among studied body measurement traits to predict the body weight in an exponential equation explaining 96% of variation in dependent trait both for male and female piglets. It was followed by body length, height at back leg, height at fore leg, punch girth, height at back and height at shoulder. Perusal of body weight and body measurements traits of different age groups and sex are presented in Table 1. Sex of the animals did not show any significant effect on body weight or other body measurement traits within same age group. However, age group had significant effect (P<0.01) on body weight and body measurement traits.
 

Table 1: Body weight and body measurement traits (mean ± SEM) at different stages of pre-weaned pigs.


       
Heart girth, punch girth,  height at shoulder,  height at back,  height at fore leg,  height at back leg and body length  were used to predict body weight based on equation, Y = aXb (Brody, 1945; Lawrence and Fowler, 1997). Our observation that prediction of body weight based on heart girth increased coefficient of determination is supported by earlier reports of  Johanson and Hildman (1954), Critin et al., (1959), El Khidir (1980) and Atta and El khidir, (2004). Further, skeletal measurements like body length is reported to be less indicative variable for prediction of body weight as compared to heart girth (Lawrence and Fowler, 1997). The change of body weight was equal to the heart girth raised to exponential of 2.49 and 2.47 for males and females, respectively. These findings are in agreement with Brody (1945) and Atta and El Khidir (2004) who found similar type of exponential values while predicting body weight based on heart girth in cattle and sheep, respectively. Body length was second best among traits studied to predict the body weight. It might be more relevant since live weight of lighter animals are estimated more accurately than heavy animals (Johanson and Hildman, 1954).
 
It is concluded that heart girth (H) can be used with greater accuracy to estimate live weight (Y) of piglets based on equations, Y = 0.00058 H2.49 and Y = 0.00061 H2.47 for male and female pigs, respectively.

CONCLUSION

It is recommended that, correlation of heart girth with body weight (r2 = 0.968 for male and 0.969 for females; P<0.01) was highest among the traits studied. 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.

ACKNOWLEDGEMENT

 Authors are thankful to Indian Council of Agricultural Research, New Delhi and Director, National Research Centre on Pig, Guwahati for providing funds and facilities for this study.

COMPLIANCE WITH ETHICAL STANTARDS

No conflict of interest exists.

REFERENCES


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