GENETIC EVALUATION OF LINEAR TYPE TRAITS AND THEIR ASSOCIATION WITH MILK PRODUCTION TRAITS IN BEETAL GOATS IN PAKISTAN.
Byline: A. Waheed, M. S. Khan, E. Eyduran, M. A. Khan, A. Faraz and R. H. MirzaKeywords: Beetal goats, linear type traits, milk production, genetic parameters.
INTRODUCTION
Beetal is an important goat breed in Pakistan that is characterized by Black and White, sometimes red mottled and black mottled coat colour. The breed may be horned or polled, and is considered as large-sized breed. Furthermore, Beetal goats are known for a number of features, including heat tolerance, prolificacy and multi-purpose utilization. Beetal goats are found almost everywhere in the province of Punjab (in Pakistan), and are approximately 4% to the total goat population (GOP, 2017) that is more than72millions. Beetal goats produce on average from 1.5 to 3 liters of milk daily. Milk production in Beetal breed is considered reasonable yet studies at population level are scanty. Body measurements are related to milk yield either genetically or phenotypically and could be a useful tool forpredicting milk production. Relationship between live body weight and body measurement has been reported in some breeds (Moaeen-ud-Din et al., 2006).
Body measurements are important tools for phenotypic description. These measurements include heart girth, belly girth, withers height, rump height, head length, neck length, etc. Among performance traits, milk production need special attention if any of the breed is to be developed as dairy or dairy-cum meat goat. Any study regarding genetic parameters of body measurements and their relationship with milk production in these local goats is lacking. The objective of the study was to estimate the genetic parameters for conformation traits and compute genetic and phenotypic correlations between conformation and milk production traits in Beetal goats.
MATERIALS AND METHODS
Conformation and milk production data on Beetal does (n=127) were recorded on five farms: Livestock Experiment Station (LES), Rakh Kheirewala, (District Layyah), LES, Rakh Ghulaman (District Bhakkar), LES, Alladad (District Khanewal), Livestock Production Research Institute (LPRI), Bahadurnagar (District Okara) and LES, University of Agriculture, Faisalabad (UAF). The animals were allowed to graze from 0800 AM to 1700 PM routinely. No concentrate were offered at any farm. Water was offered twice daily. The animals were kept indoors at night. Similar management practices were performed on all of the farms. Animal ID, sire ID, dam ID were obtained from the birth record registers maintained at these farms.
Data comprised of following body measurements and milk production traits:Head length, Head girth (above and below eyes), Ear to ear distance, Mouth width, Ear length and Ear blade width, Neck length and neck girth, Body weight, Body length, Heart girth and Body depth at heart, Belly girth and Body depth at belly, Ribs sprung and belly sprung, Rump length, rump width at back and front, Rump height and withers height, Tail length, tail diameter and circumference at base, mid and end, Forelimb (sole to elbow), Fore arm, shank and thigh circumferences, Hind limb (sole to stifle), Teat length, teat diameter and teat circumference, Teat placement(distance between tips of two teats), Lactation milk yield and lactation length.
Linear body traits (cm) were measured by tailor tape, vernier calipers, graduated rods and steel tape, while milk production was measured by graduated beakers in milliliters. Length of lactation was measured in days from kidding till drying off of the animals. Body weights (kg) were measured by a weigh bridge.
Statistical model: Univariate animal model was used for estimating heritability of conformation traits and bivariate model for estimating genetic and phenotypic correlations between body measurements and milk production traits. The model included fixed effects of flock and parity and animal additive genetic effect as random. Age of doe was fitted as a covariable. Following mixed effect model was adopted:
Yijkl = u + Fi + Pj + Agek + aijkl + eijkl
Where,
Yijkl = Observation on linear body measurement/milk yield/lactation length
u = population means
Fi = effect of ith flock (i=1...5)
Pj = effect jth parity (j=1, 2 or later)
Agek = age of doe at the time of kidding
aijkl = additive genetic effect of animal
eijkl = random error
ASREML (Gilmour et al., 2007) computer program was used for estimating (co)variance components for these traits. Genetic parameters were obtained by post-processing of (co)variance components. Forward regression was performed for the selection of traits having significant correlations with milk traits.
Table 1. Linear (b1) and quadratic (b2) regression coefficients for age of does at the time of recording.
Trait (in cm units)###Significance###Regression
###[alpha]###b1###b2
Head length###NS###20.22###0.037###-0.000
Head girth above eyes###NS###44.25###0.069###-0.001
Head girth below eyes###NS###33.32###0.009###-0.000
Eye to distance###NS###9.89###0.095###-0.001
Horn to horn distance###NS###13.29###0.016###-0.000
Mouth width###NS###3.71###-0.003###0.000
Horn length###*###10.12###0.071###0.071
Ear length###NS###23.97###-0.012###0.000
Ear blade width###**###10.92###-0.048###0.000
Neck length###NS###27.43###-0.031###0.000
Neck girth###NS###33.72###-0.025###0.000
Body length###NS###68.40###-0.036###0.000
Heart girth###NS###79.54###-0.068###0.001
Belly girth###NS###85.55###-0.039###0.000
Body depth at heart###NS###29.53###0.004###-0.000
Body depth at belly###NS###31.34###0.003###-0.000
Rib sprung###NS###25.39###-0.028###0.000
Belly sprung###NS###22.46###-0.033###0.000
Rump width at front###NS###14.25###-0.001###0.000
Rump width at back###NS###12.80###0.011###-0.000
Rump length###NS###15.56###-0.028###0.000
Body weight (Kg)###NS###35.37###0.026###-0.000
Tail length###*###15.86###0.059###-0.001
Tail diameter at base###NS###3.15###-0.004###0.000
Tail diameter at mid###*###2.46###-0.012###0.000
Tail diameter at end###NS###1.39###-0.002###0.000
Tail circumference at base###NS###9.89###-0.012###0.000
Tail circumference at mid###*###7.69###-0.035###0.000
Tail circumference at end###NS###4.35###-0.007###0.000
Forearm-sole to elbow###NS###21.74###0.054###-0.001
Fore arm circumference###NS###8.91###0.018###-0.000
Hind Limb Sole to Stifle###NS###44.74###-0.081###0.000
Shank circumference###NS###9.56###0.009###-0.000
Thigh circumference###NS###24.42###-0.034###0.000
Rump height###NS###76.65###-0.053###0.000
Wither height###NS###79.98###-0.006###-0.000
Teat length###NS###8.12###0.016###-0.000
Teat circumference###**###13.08###-0.117###0.001
Teat diameter###**###4.37###-0.045###0.000
Teat placement###NS###7.62###-0.001###0.000
Table 2. Heritability estimates and standard errors of linear body measurement traits.
Trait(in cm units)###h2+-s.e###Trait(in cm units)###h2+-s.e
Head length###0.0599+- 0.0985###Rump length###0.9362+-0.0071
Head girth above eyes###0.8076+- 0.0213###Body weight(kg)###0.4080+-0.0626
Head girth below eyes###0.7040+- 0.0325###Tail length###0.8501+-0.0165
Eye to distance###0.8654+- 0.0145###Tail diameter at base###0.6941+-0.0334
Horn to horn distance###0.0187+- 0.0000###Tail diameter at mid###0.9882+- 0.0000
Mouth width###0.7961+- 0.0001###Tail diameter at end###0.9258+- 0.0000
Horn length###0.0698+- 0.0000###Tail circumference at base###0.7571+- 0.0269
Ear length###0.7384+- 0.0307###Tail circumference at mid###0.9890+- 0.0000
Ear blade width###0.9060+- 0.0102###Tail circumference at end###0.8901+- 0.0124
Neck length###0.9588+- 0.0046###Forearm-sole to elbow###0.7310+- 0.0301
Neck girth###0.9016+- 0.0110###Fore arm circumference###0.8128+- 0.0207
Body length###0.3326+- 0.0671###Hind Limb-Sole to Stifle###0.1667+- 0.0000
Heart girth###0.8986+- 0.0111###Shank circumference###0.9352+- 0.0071
Belly girth###0.8938+- 0.0115###Thigh circumference###0.0437+- 0.0000
Body depth at heart###0.7406+- 0.0264###Rump height###0.1667+- 0.0000
Body depth at belly###0.5226+- 0.0519###Wither height###0.8200+- 0.0201
Rib sprung###0.5898+-0.0453###Teat length###0.8430+- 0.0175
Belly sprung###0.0037+-0.0000###Teat circumference###0.7694+- 0.0242
Rump width at front###0.5492+-0.0494###Teat diameter###0.4451+- 0.4377
Rump width at back###0.3030+-0.0753###Teat placement###0.1292+- 0.3616
!Body weight is in kg
Table 3. Genetic and phenotypic correlations between body measurements and milk yield and lactation length of goats.
!Trait(in cm unit)###Lactation Milk Yield###Lactation Length
###a2G###a2P###a2G###a2P
Head length###0.39+-0.48###0.09+-0.09###0.15+-0.39###0.10+-0.09
Head girth above eyes###0.53+-0.09###0.38+-0.07###0.34+-0.09###0.27+-0.08
Head girth below eyes###0.32+-0.11###0.18+-0.08###0.11+-0.11###0.07+-0.09
Ear to ear distance###0.37+-0.09###0.25+-0.08###0.22+-0.09###0.18+-0.08
Mouth width###0.42+-0.00###-0.28+-0.00###-0.00+-0.00###0.28+-0.00
Ear length###-0.40+-0.09###-0.33+-0.07###-0.64+-0.07###-0.46+-0.07
Ear blade width###0.39+-0.08###0.34+-0.07###0.43+-0.08###0.32+-0.07
Neck length###0.56+-0.08###0.42+-0.07###0.54+-0.07###0.44+-0.07
Neck girth###0.59+-0.07###0.48+-0.07###0.54+-0.07###0.51+-0.06
Body length###0.37+-0.16###0.17+-0.08###0.24+-0.15###0.13+-0.08
Heart girth###0.43+-0.09###0.34+-0.08###0.33+-0.08###0.29+-0.08
Belly girth###0.41+-0.09###0.32+-0.08###0.25+-0.09###0.22+-0.08
Body depth at heart###0.42+-0.09###0.29+-0.07###0.28+-0.09###0.22+-0.07
Body depth at belly###0.82+-0.09###0.43+-0.07###0.28+-0.11###0.29+-0.08
Rib sprung###0.73+-0.09###0.44+-0.07###0.30+-0.11###0.30+-0.08
Belly sprung###-0.16+-0.08###-0.69+-0.54###0.06+-0.09###-
Rump width at front###0.02+-0.00###0.05+-0.00###-0.00+-0.00###-0.01+-0.00
Rump width at back###0.03+-0.01###0.08+-0.01###0.07+-0.01###0.03+-0.00
Rump length###0.47+-0.08###0.44+-0.07###0.47+-0.07###0.44+-0.07
Body weight(kg)###0.59+-0.12###0.34+-0.07###0.52+-0.07###0.89+-0.10
Tail length###0.39+-0.08###0.37+-0.07###0.36+-0.09###0.26+-0.08
Tail diameter at base###0.48+-0.11###0.28+-0.08###0.33+-0.11###0.22+-0.09
Tail diameter at mid###0.00+-0.00###0.04+-0.07###0.00+-0.00###0.06+-0.07
Tail diameter at end###0.00+-0.00###0.20+-0.08###0.00+-0.00###0.14+-0.09
Tail circumference at base###-0.41+-0.11###-0.23+-0.08###-0.29+-0.10###-0.19+-0.09
Tail circumference at mid###0.00+-0.00###0.03+-0.07###0.00+-0.00###0.11+-0.07
Tail circumference at end###-0.23+-0.09###-0.21+-0.08###-0.30+-0.08###-0.27+-0.07
Forelimb-sole to elbow###-0.40+-0.10###-0.25+-0.08###-0.35+-0.10###-0.21+-0.09
Fore arm circumference###0.45+-0.09###0.34+-0.08###0.41+-0.09###0.33+-0.08
Hind limb sole to stifle###0.41+-0.00###0.41+-0.00###0.49+-0.00###0.49+-0.00
Shank circumference###0.39+-0.08###0.37+-0.07###0.39+-0.08###0.29+-0.07
Thigh circumference###-0.04+-0.00###0.03+-0.00###-0.07+-0.00###-0.04+-0.00
Rump height###0.32+-0.00###0.33+-0.00###0.35+-0.00###0.35+-0.00
Wither height###0.49+-0.08###0.41+-0.07###0.33+-0.09###0.28+-0.07
Teat length###0.42+-0.08###0.38+-0.07###0.29+-0.09###0.26+-0.07
Teat circumference###0.35+-0.02###0.21+-0.01###0.23+-0.02###0.16+-0.01
Teat diameter###0.03+-0.02###0.08+-0.08###0.05+-0.02###0.10+-0.08
Teat placement###0.05+-0.59###0.18+-0.08###0.64+-0.88###0.22+-0.07
RESULTS
Regression coefficients for dependence of body measurements on age are given in Table 1. Heritability estimates for conformation traits are presented in Table 2 and genetic and phenotypic correlations between body measurements, LMY and LL are given in Table 3.
Heritability estimates: Heritability estimates for different linear body measurements ranged from 0.004 to 0.99 (Table 2). Heritability estimates for head and neck traits ranged from 0.02 to 0.96. Most of them had h2 estimates above 0.70, neck length being the highest heritable trait (0.96). For head and neck traits, heritability estimates ranged from 0.30 to 0.99 showing high proportion of genetic variance. Heritability estimates for height and depth traits ranged from 0.004 to 0.90. Heart and belly girths were highly heritable (0.90 and 0.89). The heritability estimates for length of fore limb (sole to elbow), length of hind limb (sole to stifle), fore arm, shank and thigh circumferences were 0.73, 0.17, 0.81, 0.94 and 0.04, respectively. The heritability estimate for teat length, teat diameter and teat placement were 0.84, 0.45and 0.13, respectively.
Genetic and phenotypic correlations
Head and neck traits and milk traits: Genetic and phenotypic correlations between head and neck traits and lactation milk yield (LMY) ranged from -0.40 to 0.88 and -0.33 to 0.90, respectively. Corresponding correlations with lactation length (LL) ranged from -0.64 to 0.54 and -0.46 to 0.51, respectively. Genetic correlations of head length, mouth width, horn length, ear length and neck length were 0.39, 0.42, 0.67, -0.40, and 0.56 with LMY and 0.15, -0.002, 0.11, -0.64 and 0.54 with LL, respectively. Corresponding phenotypic correlations were 0.09, -0.28, 0.90, -0.33 and 0.42 with LMY and 0.10, 0.28, -0.01, -0.46 and 0.44 with LL, respectively.
Back and tail traits and milk traits: Genetic and phenotypic correlations between back traits and tail and LMY ranged from -0.41 to 0.48 and -0.23 to 0.44, respectively. Corresponding correlations with LL ranged from -0.29 to 0.47 and -0.27 to 0.44, respectively. Genetic correlations of rump length, tail length and tail circumference at base (TCB) with LMY and LL were 0.47, 0.39 and -0.41 and 0.47, 0.36 and -0.29, respectively. Corresponding phenotypic correlations were 0.44, 0.37 and -0.23 and 0.44, 0.26 and -0.19, respectively.
Body weight, height and depth traits and milk traits: Genetic and phenotypic correlations between body weight, height and depth traits and LMY ranged from 0.37 to 0.82 and 0.16 to 0.44, respectively. Corresponding correlations with LL ranged from -0.69 to 0.52 and 0.13 to 0.89, respectively. Genetic correlations of body length, heart girth, body depth at heart, rib sprung and body weight with LMY and LL were 0.37, 0.43, 0.41, 0.73 and 0.59 and 0.24, 0.33, 0.28, 0.30 and 0.52, respectively. Corresponding phenotypic correlations were 0.17, 0.34, 0.29, 0.44 and 0.34 and 0.13, 0.29, 0.22, 0.30 and 0.89, respectively.
Leg traits and milk traits: Genetic and phenotypic correlations between leg traits and LMY ranged from -0.40 to 0.45 and -0.25 to 0.41, respectively. Corresponding correlations with LL ranged from -0.35 to 0.49 and -0.21 to 0.49, respectively. Genetic correlations of length of fore limb (sole to elbow), hind limb (sole to stifle) and shank circumference with LMY and LL were -0.40, 0.4 and 0.39 and -0.35, 0.49 and 0.39, respectively. Corresponding phenotypic correlations were -0.25, 0.41 and 0.37 and -0.21, 0.49 and 0.29, respectively.
Teat traits and milk traits: Genetic correlations of teat length, teat diameter and teat placement with LMY and LL were 0.42, 0.03 and 0.05 and 0.29, 0.05 and 0.64, respectively. Corresponding phenotypic correlations were 0.38, 0.08 and 0.18 and 0.26, 0.10 and 0.22, respectively.
DISCUSSION
Body measurements are key indicators of milk production in goats. Knowledge of their genetic control helps making in decisions about selection based on body measurements. We can predict the milk producing ability of does just by taking a few body measurements because they have positive and high correlations with milk production traits. Heritability estimates for head and neck traits had a wide range (0.02 to 0.96). The horn to horn distance was least heritable while neck length was the most heritable character in Beetal goats. Ear and neck traits were also highly heritable. Body weight, height and depth traits also had high heritability estimates (0.33 to 0.90) except for belly sprung which was lowly heritable (0.04). Heritability estimates for body weight as found in present study matched with (Otuma and Osakwe, 2008) who found heritability estimate of 0.42 for 18 month weight in Sahelian goats.
Present finding was lower than reported by Mavrogenis and Papachristoforou (2000) who reported very high heritability of these traits in goat and sheep. Heritability estimates for leg traits ranged from 0.04 to 0.94, except for thigh circumference which was least heritable (0.04). Back and tail traits had heritability value from 0.17 to 0.94 while teat related traits had 0.13 to 0.84. The results of the present study matched with those of Luo et al. (1997) for most traits. Estimates for withers height, rump width (back) and teat diameter (base) showed similarity but teat placement did not match. The present findings were also in line with Janssens and Vandepittte (2004). Estimates of present study were quite higher than reported by Mandal et al. (2008) for body length, withers height and heart girth. Heritability estimates of present study for teat traits were higher than reported by Manfredi et al. (2001) who also reported high estimates.
Some of the body measurement were having high heritability might be due the reasons that the flocks were almost remained close for a longer period of time without introduction of foreign genetic material and also only few bucks served all of the does. Hence intense inbreeding might also be a cause of high heritability estimates. Another reason was that ASREML usually generated high estimates as compared to other software. The genetic and phenotypic correlations between head and milk traits in the present study were generally positive and moderate to high with a few exceptions. Ear length had negative genetic and phenotypic correlations with LMY and LL (-0.40 and -0.33; -0.64 and -0.46, respectively). Length of lactation had low to moderate (positive) correlations with these traits whereas mouth width, horn length and ear length were exceptional cases with negative correlations.
Body weight, height and depth traits and LMY had positive genetic and phenotypic correlations (0.37 to 0.82 and 0.16 to 0.44). The corresponding correlations between height, depth and LL were also positive and ranged from 0.24 to 0.33 and 0.13 to 0.33 showing moderate relationship. The genetic and phenotypic correlations between body weight and milk traits were very far from those reported by Mavrogenis and Papachristoforou (2000) who reported very low correlations in Chios sheep and Damascus goat. The correlations between body weight and milk traits were also much higher than reported by Constantinou (1989). Back and tail traits possessed positive genetic and phenotypic correlations with LMY and LL with few exceptions. The corresponding correlations (positive) ranged from zero to 0.59 and 0.04 to 0.37 for LMY and zero to 0.52 and 0.06 to 0.89 for LL, respectively. Tail circumference had negative genetic and phenotypic correlations with LMY and LL (-0.41 and -0.23; -0.29 and -0.19, respectively).
Genetic and phenotypic correlations found in present study were higher than those reported by Khan et al. (2005). The genetic and phenotypic correlation between leg and milk production traits were usually positive except for length of forelimb (sole to stifle) and thigh circumference having negative correlations with milk traits. As far as teat traits were concerned, they had positive genetic and phenotypic associations with milk traits of the grade ranging from 0.03 to 0.49 and from 0.03 to 0.41 with LMY and 0.05 to 0.64 and from 0.10 to 0.35 with LL, where teat length showed high correlations with LMY and LL. The highly heritable conformation traits showed that they are greatly influenced by genetics, hence selection can be useful for improvement. The highand positive correlations (either genetic or phenotypic) among some of the body measurements and milk production traits are important and can be used for early prediction of milk production.
Hence they are valuable tools for making selection/culling and other management decisions and can help in improved productivity of animals. In conclusion, heritability estimates of body measurements of Beetal goats as obtained in the present study were generally low to very high for different traits. Head and horn length, teat placement and belly sprung were very lowly heritable. Rump height also had low heritability. While body weight and length had moderate heritability estimates, all other conformation traits were highly heritable (>0.50). The relationship between linear body measurement and milk production traits of Beetal showed that most of the correlations were positive and high. The relationship between body measurements and milk production traits can be used to predict milk yield. Fromthe relationship between milk yield and body measurements it may be inferred that the goats with better body weight and size produced generally more milk.
Teat length and circumference also had positive association with milk yield. The study should be extended to larger herds and other goat breeds for revealing genetic and phenotypic variability.
REFERENCES
Constantinou, A. (1989). Genetic and environmental relationships of body weight, milk yield and litter size in Damascus goats. Small Rumin. Res. 2:163-174.
Gilmour, A.R., B.J Gogel, B. R. Cullis, S.J. Welham and R. Thompson (2007). ASREML User Guide Release 2.0. VSN International Ltd. 5 The Water's House, Water House Street Hemel, Hempstead, HP1 1 ES, UK.
GOP (Govt. of Pakistan) (2017). Economic Survey of Pakistan 2016-17.http://www.accountancy. com.pk/docs/economicsurveypakistan-2016-17-02.pdf]
Janssens, S., and W. Vandepittte (2004). Genetic parameters for body measurements and linear type traits in Belgian bleue de mairie, Suffolk and Texel sheep. Small Rumin. Res. 54:13-24.
Khan, B. B., M. Younas, M. Riaz and M. Yaqoob (2005). Breeds of Livestock in Pakistan, Department of Livestock Management, University of Agriculture, Faisalabad.
Luo, M.F., G.R. Wiggans, and S.M. Hubbard (1997). Variance components estimation and multitrait genetic evaluation for type traits of dairy goats. J. Dairy Sci. 80:594-600.
Mandal, A., R. Roy, and P. Rout (2008). Direct and maternal effects for body measurements at birth and weaning in Muzaffarnagari sheep of India. Small Rumin. Res. 75:123-127.
Manfredi, E., A. Piacere, P. Lahaye, and V. Ducrocq (2001). Genetic parameters of type appraisal in Saanen and Alpine goats. Livest. Prod. Res. 70:183-189.
Mavrogenis, A. V., and C. Papachristoforou (2000). Genetic and phenotypic relationship between milk production and body weight in Chios sheep and Damascus goat. Livest. Prod. Sci. 67:81-87.
Moaeen-ud-Din, M., N. Ahmed, A. Iqbal, and M. Abdullah (2006). Evaluation of different formulas for weight estimation in Beetal, Teddi and crossbred (Beetal X Teddi) goats. The J. Anim. Plant Sci. 16:74-78.
Otuma, M.O., and I.I. Osakwe (2008). Estimation of genetic parameters of growth traits in Nigeria Sahelian goats. Res. J. Anim. Sci. 2:83-86.
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Publication: | Journal of Animal and Plant Sciences |
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Geographic Code: | 9PAKI |
Date: | Apr 23, 2019 |
Words: | 4492 |
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