Livestock Research for Rural Development 24 (1) 2012 | Guide for preparation of papers | LRRD Newsletter | Citation of this paper |
The study was conducted for the economic and genetic evaluations of Red Chittagong Cows (RCC), Local and Holstein × Local crossbred cows under the rural area in the Chittagong district of Bangladesh. For economic evaluation, profitability per cow per year of RCC, Local and Holstein × Local crossbred was estimated using a deterministic linear model. The economic values of different traits (milk yield, live weight and calving interval) were calculated from this model after re-running with changes one unit of each trait and maintaining the other traits in the model as constant.
For one-year operation, the RCC showed intermediate profit, but in consideration of life-time yield and calving interval, it was found that RCC generated higher profit than the Holstein × Local crossbred and Local cows. The economic value of milk yield was found positive but for live weight and calving interval was found to be negative value for different genotypes and that varied among them. Best linear unbiased prediction (BLUP) estimated breeding values (EBV’s) of milk yield, live weight and calving interval were obtained from a univariate animal model and the economic selection index or total merit was constructed as the sum of the product of estimated breeding values with the economic values of each trait. It was found that the BLUP estimated breeding values (EBV’s) of different traits were differed with the differences of genotype. The economic selection index, there were a favorable combination between of genetics and economics.
Keywords: Breeding values, economic values, genotypes, profitability, total merit
The majority of studies on dairy cattle breeding in the tropics, including Bangladesh have been biological involving comparisons of productive and reproductive performances. Some economic evaluations of dairy cattle crossbreeding strategies have been conducted under temperate conditions (Lopez-Villalobos et al 2000; Steine et al 2006). These studies showed that crossbreeding results sufficient heterosis to provide greater economic return than the best of the existing breeds. Although there were some economic evaluation studies have been conducted under tropical conditions which were incomplete or including with missing information (Gunjal et al 1997) or sometimes involved a single breed (Kahi et al 2000; Khan et al 2010), they considered only returns from sales of milk and manure, and the costs associated with milk production, in their economic evaluation. Within genotypes, profit function was used to estimate economic values (Kahi and Nitter 2004) which are required to define breeding objectives and to predict revenues from breeding programmes. Unfortunately, detailed economic assessments of costs (C) and revenues (R) of dairy cattle breeding for tropical areas including Bangladesh are rare.
Genetic evaluation studies have been used to select sires and elite cows for the genetic improvement of dairy cattle. For selection of the best individual an effective approach is the selection index method (Hazel et al 1994), which is a weighted linear function of selection criteria and breeding value for each trait in the breeding objective with weights reflecting their relative importance. It is crucial to estimate the breeding values and economic values for the traits in the breeding objective. The genetic merit of an animal has been undertaken based on different models (e.g. sire model/ individual animal model). Parameters in a model can be estimated by several ways such as least square methods (LSM), restricted maximum likelihood (REML) and best linear unbiased predictions (BLUP). Both the single and multiple trait, BLUP method are used to evaluate the animals. Compared to other methods, BLUP estimated breeding value (EBV) is more accepted approach, which increases the accuracy of estimation and enables simultaneous estimation of genetic and environmental effects (Cilek and Kaygisiz 2008).
In Bangladesh, dairy cattle genetic improvement programmes have been conducted since 1970. However, these genetic improvement programmes were not successful or satisfactory due to ill-defined breeding objectives, inefficient artificial breeding programme, small population size, improper recording, lack of necessary infrastructures and skilled personnel. To run a structured genetic improvement programme it is essential to undertake the economic and genetic evaluation studies on the available genotypes. Therefore, the present study was undertaken with the objectives (i) to estimate the profitability of different cattle breed groups (ii) to calculate the economic values for different traits in the breeding objectives (iii) to estimate the breeding values of different traits and (iv) to construct an economic selection index or total merit for individual cow.
A total of 300 RCC farms consisting of 360 RCC, 150 Local and 110 Holstein ´ Local crossbred cows (genetically unrelated) from the five Upazilla or administrative subunit (Satkania, Chandanaish, Anwara, Potia and Raowzan) in the Chittagong district (administrative unit) of Bangladesh were considered in this study. Data were collected with a structured record sheet from July 2008 to June 2010 through fortnightly farm visit physically by the data collector. From the recorded data, the average herd level production variables for all three genotypes (RCC, Local and Holstein ´ Local crossbred) were estimated using PROC GLM of SAS (2000) (Table 1).
Dairy production in Bangladesh are mostly integrated with crop farming with 1-2 cows and 0.20 hectares of land per farmer is typical and the herd consists of mixed breed but in the study area the RCC was more concentrated. The farmers breed their RCC cows with the semen of RCC bull supplied by the Central Cattle Breeding Station (CCBS) of Bangladesh and from the Bangladesh Rural Advancement Committee (BRAC) inseminators; moreover, the RCC community breeding station was formed with the RCC bulls. The farmers can use these bulls for natural service to their cows. Local cows are mostly served by natural mating with the available local bulls and the temperate crossbreds are inseminated with the semen of Holstein or available breeds. Generally, all calves are fed colostrum during the first 3 to 5 days and then approximately 0.5 to 1.0 kg or as availability of whole-milk are fed daily from approximately 2 to 3 months. Thereafter, and up to weaning they fed whole-milk with roughages, and little amount of concentrate. From weaning to age at first calving heifers are offered little amount of concentrate, roughages and grazed on the road side, fallow land etc. During monsoon the cattle are mainly fed with paddy straw. The lactating cows of RCC and Local are fed with a concentrate mix approximately 1-1.5 kg/day throughout the year. However, the Holstein x Local the amount of concentrate mix are higher approximately 2 to 3 kg/day per cow throughout the year. The concentrate mix includes rice polish, brans and oil cakes. The male calves are castrated and used for draft very few numbers of bulls are kept for breeding purpose. The culled cows and the surplus heifers are sold for slaughter or other purposes. Other management practices, such as vaccination and de-worming are undertaken on most of the RCC community farms. The household members are rears their cows therefore labourer costs is minimum. The farmer members sale their milk direct to the market or sometimes to the middle man, who pool their milk and arrange the advanced cash payment on the basis of milk volume.
A deterministic linear programming model, context using Microsoft Excel was used according to Khan (2009) and Khan et al (2010) to estimate the profitability of RCC, Local and Holstein ´ Local crossbred cows. The economic analyses were done based on average values of marketable products (milk and meat) and the expenses incurred in dairy production (feed costs, health, reproduction and fixed costs). The profit was derived as the difference between revenues (R) and costs (C). The main components considered in this model were herd structure (population dynamics), nutrition, biological and economics of the farm.
The input parameters of RCC, Local and Holstein ´ Local crossbred are presented in Table 1. The total metabolisable energy (ME) requirement per cow per year was the sum of ME requirement for maintenance, growth, pregnancy and production and was calculated according to AFRC (1993). The milk production per lactation was considered as milk production per calving interval and the milk yield (kg/year) was calculated as:
Milk yield (kg/year) = Milk yield per lactation (kg) x 365/ Calving interval
The dry matter (DM) requirements were calculated by the content of ME per kg DM. It was considered that cows were consuming roughage from grazing, paddy straw, tree leaves and 1- 2 kg concentrate mix (brans, oil cakes and grains) per day for RCC and Local cows and 2- 3 kg for Holstein ´ Local crossbreds, to fulfill their energy requirements. The feed cost (roughage and concentrate mix) for different genotypes were calculated at 0.09 – 0.12 US$ per kg DM. The revenue was derived from the differences of the sale of milk and beef, and the cost of feed and fixed costs (operational cost).
In the model, the livestock classes were calves, heifers, steers and dairy cows. Dairy cow replacement can be reared from the calves born within the herd. Generally the heifers are mated at 2-3 years of age to calve at 3-4 years of age. The farmers keep the Local and RCC cows up to 10 years of age that is up to 7 lactations but they keep Holstein and their crossbreds up to 3 lactations only because of lower productivity due to poorer adaptability. The lifetime profitability was estimated by the product of yearly profit per cow and the lactation number of cows.
The individual cow income was estimated after running the base model and the economic values (EVs) of milk yield, live weight and calving interval was obtained by re-running the base model after changing one unit of each trait while maintaining the other traits in the model at a constant level.
The EBVs of different traits (milk yield, live weight and calving interval) were estimated from a univariate analysis by AIREML, based on Restricted Maximum Likelihood (REML) using the average information (AI) matrix as second derivatives in a quasi-Newton procedure (Johnson and Thompson 1995). The animal model for analysis of three traits was presented as:
Y= Xb + Zu +e
Where, Y is the vector of all observations;
b is the vector of fixed effects considering the effect of location and cow age;
u is the vector of breeding value of the animal's, random; and
e is vector of residual effects.
X and Z is design matrix connecting to the fixed and random effect, respectively.
There was no sire, dam and grand sire information only the individual cow’s performance was considered in this analysis. The heritability values used in this model for different traits are shown in Table 2.
For the (co)variance of Y the assumption is:
var(u) = G
var(e) = R
and
cov(u,e) = 0
which gives
A univariate animal model was used to estimate the
breeding values of animals and then
var(e) = R = Iσ2
one random effect u = a,
design matrix Z = Za and
variance matrix G =A.σa2,
where, A is the relationship matrix.
The mixed model equation (MME) thus became:
The economic values of different traits can vary between breeds and place to place, depending on the variable production system. In addition, it may also vary with the fluctuations in prices and costs of input and output variables of farm. Therefore, in the present study, the economic value was estimated under the same situations and used to develop the economic selection index or total merit. Here the economic selection index or total merit value of the selection objective of milk production was calculated as the sum of the product of BLUP estimated breeding values with the economic values of all traits (milk yield, liveweight and calving interval). The economic selection index was expressed in dollar. An estimate of T (known as total merit) was calculated as:
Total merit (T) = aMY GMY+aLwt GLwt+aCIGCI
Where, GMY, GLwt and GCI are the estimated breeding values for lactation milk yield, liveweight and calving interval and
amy, aLwt and aCI are the respective economic values.
The average productive and reproductive performances and unit prices of different variables for various breed groups are presented in Table 1. From the Table 1 it can be seen that the Holstein × Local crossbred showed superior performance than RCC and Local genotypes except the survivability and calving interval. RCC was superior for these two traits. The milk, meat and feed prices were similar for all the three breed groups.
Table 1. Individual average performances and unit prices of different variables for various genotypes |
|||
Variables |
Genotypes |
||
Red Chittagong |
Local |
Holstein × Local |
|
Birth weight, kg |
15.4 |
15 |
18 |
Mature live weight, kg |
179 |
164 |
274 |
Gestation period, day |
282 |
279 |
285 |
Lactation length (day) |
265 |
258 |
272 |
Milk production / Cl (kg) |
597 |
497 |
1089 |
Calving interval (CI), day |
428 |
471 |
436 |
Milk yield, kg/year |
509 |
386 |
912 |
Calving rate, % |
85 |
77 |
84 |
Survivability, % |
93 |
94 |
83 |
Feed price per kg DM, US$ |
0.095 |
0.09 |
0.12 |
Beef price per kg live weight, US$ |
1.79 |
1.79 |
1.79 |
Price per kg milk, US$ |
0.43 |
0.43 |
0.43 |
One year old calf price, US$ |
43 |
35 |
72 |
Health and reproduction costs/year, US$ |
8.5 |
7.0 |
22 |
Fixed cost,/year (US$) |
10 |
10 |
20 |
Economic evaluations of different breed groups
Table 2 shows the costs, revenues and profit of RCC, Local and Holstein × Local crossbred cows under RCC community farming on a per cow per year basis. Table 2 indicates that the average net income of Holstein × Local crossbred (US$ 101) was higher than RCC (US$ 54) and Local (US$ 40) cows. Total revenue was dominated by the sale of milk (73 -78%) and beef (19-23%). Feed costs accounted about 86% of the total costs. Health costs, reproduction costs, labour costs, marketing costs and all other operational and management costs were assumed to be fixed costs. Local cattle had the lowest dry matter (DM) requirements for maintenance, growth of replacements and lactation where Holstein ´ Local had the highest total DM requirements and RCC had at intermediate level (Table 2). However, the Holstein ´ Local had the highest milk and beef revenue and that generated highest profit than other genotypes.
Table 2. Costs, revenues, profit, economic values and heritability values for different traits of different genotypes |
|||
Traits |
Genotypes |
||
RCC |
Local |
Holstein × Local |
|
DM requirement per cow per year |
|||
Cow, kg |
1604 |
1482 |
2038 |
Replacement heifer, kg |
519 |
486 |
720 |
Total, kg |
2123 |
1968 |
2758 |
Price, US$ |
202 |
180 |
328 |
Non- feed costs per cow per year |
|||
Milking cow, US$ |
12 |
6 |
34 |
Replacement heifer, US$ |
6 |
3 |
16 |
Total non-feed costs, US$ |
18 |
9 |
50 |
Total expenditure, US$ |
220 |
189 |
378 |
Revenue per cow per year |
|||
Milk revenue, US$ |
205 |
166 |
372 |
Beef revenue, US$ |
59 |
53 |
88 |
Manure income, US$ |
10 |
10 |
15 |
Grand Total, US$ |
274 |
229 |
475 |
Net Income,US$ |
54 |
40 |
101 |
Life time profitability ,US$ |
378 |
280 |
303 |
Economic values of different traits, US$ |
|||
Milk yield |
0.39 |
0.41 |
0.40 |
Live weight |
-0.43 |
-0.33 |
-0.50 |
Calving interval |
-0.38 |
-0.27 |
-0.70 |
Heritability values of different traits (Khan 2009; Bhuiyan et al. 2008) |
|||
Milk yield |
0.28 |
0.27 |
0.32 |
Live weight |
0.54 |
0.49 |
0.52 |
Calving interval |
0.05 |
0.05 |
0.05 |
The economic values of different traits under rural conditions of Bangladesh for three different genotypes also are shown in Table 2. The economic value of milk yield for different genotypes was positive and slightly varied among different genotypes. The economic values of calving interval and mature live weight were negative and varied between genotypes.
The estimated breeding values for different traits (lactation milk yield, live weight and calving interval) of RCC, Local and Holstein × Local crossbred cows under rural conditions of Bangladesh are shown in Table 3. The estimated breeding values of lactation milk yield, live weight and calving interval for RCC ranged from 78.2-302.8 kg, -10.9- 41.1 kg, and -8.5-12.6 days, for Local 12.7-80.9 kg, -2.7-5.5 kg and -1.2- 0.6 days and for Holstein × Local crossbreds from -7.5-134 kg, -19.9 to -38.1 kg and -4.9 - 9.4 days, respectively (Table 3). The estimated breeding values for lactation milk yield and live weight of RCC were higher than that of Local and Holstein × Local crossbreds.
The economic selection index or total merit for RCC, Local and Holstein × Local crossbreds under rural conditions of Bangladesh are presented in Table 3. As an example, only top ranked ten cow’s economic selection index or total merit is shown in the Table 3. The economic selection index or total economic merit for RCCs ranged from US$35.2 - US$100.3for Local US$ 2.28 – US$30.73 and for Holstein × Local crossbreds were from US$ 4.5 - US$66.1.
Table 3. BLUP Estimated breeding values for different traits and economic selection index or total merit of RCC and Holstein × Local crossbred |
|||||||||||||||||
RCC |
Local |
Holstein × Local |
|||||||||||||||
Cow ID |
MY (kg) |
Lwt (kg) |
CI (days) |
EInd (US$) |
Rank |
Cow ID |
MY (kg) |
Lwt (kg) |
CI (days) |
EInd (US$) |
Rank |
Cow ID |
MY (kg) |
Lwt (kg) |
CI (days) |
EInd (US$) |
Rank |
310 |
302.8 |
41.1 |
0.4 |
100.3 |
1 |
5006 |
70.9 |
5.5 |
0.60 |
30.73 |
1 |
20023 |
134.0 |
-38.1 |
9.4 |
66.1 |
1 |
105 |
255.2 |
12.4 |
-2.6 |
95.2 |
2 |
3045 |
34.9 |
-2.7 |
0.1 |
15.18 |
2 |
20019 |
107.6 |
-19.9 |
-4.9 |
56.4 |
2 |
102 |
204.2 |
11.5 |
-2.4 |
75.6 |
3 |
1056 |
24.9 |
-1.0 |
-0.2 |
10.62 |
3 |
20010 |
121.4 |
-4.0 |
-0.9 |
51.2 |
3 |
423 |
225.2 |
26.7 |
4.1 |
74.8 |
4 |
1062 |
24.9 |
4.5 |
0.54 |
8.62 |
4 |
20009 |
119.8 |
27.9 |
6.9 |
29.1 |
4 |
435 |
224.9 |
39.9 |
4.1 |
68.9 |
5 |
1076 |
23.7 |
4.9 |
-0.6 |
8.24 |
5 |
20013 |
62.8 |
-2 |
-0.5 |
26.5 |
5 |
413 |
180.9 |
36.6 |
-2.4 |
55.7 |
6 |
4014 |
15.8 |
-1.8 |
0.02 |
7.06 |
6 |
20003 |
13.1 |
-13.6 |
-3.4 |
14.4 |
6 |
572 |
117.7 |
2.7 |
-8.5 |
47.9 |
7 |
4018 |
12.7 |
1.8 |
-0.1 |
4.64 |
8 |
20006 |
28.3 |
-2.5 |
-0.6 |
12.9 |
7 |
246 |
78.2 |
-10.9 |
-0.8 |
35.4 |
8 |
5056 |
15 |
-0.5 |
-1.2 |
6.70 |
7 |
20041 |
47.6 |
11.4 |
2.8 |
11.4 |
8 |
356 |
99.6 |
-2.9 |
12.6 |
35.3 |
9 |
4020 |
15.8 |
8.9 |
-0.1 |
3.57 |
9 |
20012 |
-7.5 |
-15.5 |
-3.8 |
7.4 |
9 |
234 |
108.2 |
17.3 |
-1.4 |
35.2 |
10 |
4021 |
12.7 |
8.9 |
-0.1 |
2.28 |
10 |
20024 |
49.6 |
22.8 |
5.6 |
4.5 |
10 |
Legends: MY=Milk yield, LWt= Live weight, CI= Calving interval, and EInd.= Economic selection index or total merit |
The temperate breeds and crossbreds showed superior performance in tropical environment. The differences are obtained due the breed differences. Similar findings were reported by Khan et al. (2005). However, many findings (Syrstad 1989; Madalena et al. 1990; Khan et al. 2005) from other tropical countries including Bangladesh study have shown that the first cross of temperate breeds with tropical breeds produce more milk than pure breeds in a tropical environment.
In the current model the income was derived from the sale of milk, beef and manure and costs included only for feed and fixed costs. The milk payment for the farmers was based on milk volume only was used to calculate the profit. The net profit of Holstein × Local crossbred was higher than RCC and Local cows per cow per year. Similar profitability for Holstein × Local crossbred was calculated by Rahman et al (2003) but Khan et al (2010) calculated the lower profitability for RCC than the present finding. The differences of profitability were attributed due to the differences of the prices of feed, milk, meat and the differences of breeds. Similar factors are responsible for the differences profitability were reported by Khan et al (2005); Khan (2009). It can be found that the RCC produced intermediate profit in one year operation. However, in consideration of life-time productivity and calving interval, RCC would generate higher profitability than the Holstein × Local and Local cows. The shorter calving interval for RCC than other genotypes (Table 1) indicates that RCC produces more calves than other genotypes and leads higher profit.
The differences of feed dry matter (DM) consumed was found to be variable between genotypes. The Holstein ´ Local genotype is heavy, so its DM requirements were higher than other light genotypes and this genotype contributed higher beef income in compare to other genotypes. The body weight of the cow is important as it affects the profitability and thereby affect on feed requirements for maintenance as well as the value of the carcass. Similar findings were reported by Lopez-Villalobos et al (2000) and Khan (2009). In this current study, feed costs accounted for 85% of the total costs while the remaining percentage was accounted for other operational costs. Similar amount of feed costs out of the total costs for dairy farm operation were reported by Ozawa et al (2005). Under the rural condition of Bangladesh the farmers are mainly feeding their cows straw and concentrate (brans and rice polish) and green grasses when available. The DM intakes and price per kg DM have also influenced the profitability which was also reported previously by Khan (2009); Rahman et al (2003).
In the current study, the positive economic values for milk yield was attributed due to the current milk payment system where RCC farming community farmers are paid on the basis of milk volume only. Positive economic values for milk yield were also reported by Khan et al (2010) and Kahi et al (2004) but elsewhere in the literature economic values for milk yield are normally negative ( Veerkamp et al 2002) because in these studies farmers were paid on the basis of fat and protein yield and penalised for milk volume. Reducing calving interval improves farm profit because negative value indicated due to higher milk yield. Veerkamp et al (2002) also observed the negative economic values for calving interval. Economic values of mature live weight for different genotypes ranged from -US$ 0.50 to -US$ 0.33 on per cow per year basis. Similar observations have been reported by several workers (Khan, 2009; Lopez-Villalobos et al 2005). Economic values for mature live weight were negative, as a larger cow requires more energy for the maintenance of its body weight, and that energy is unavailable for production purposes.
The EBVs of different traits were estimated using multivariate individual animal model and the obtained EBVs of Holstein × Local was found to be lower compared to other reports (Katkasame et al 1995). The lowered breeding values in the current study might be influenced by a number of factors such as breed effect, stage of lactation and less number of records etc. The similar effects for the differences of EBVs were reported by Hossain et al (2002). On the contrary, Bhuiyan et al (2008) and Khan et al (2010) estimated the similar breeding values for lactation milk yield, live weight and calving interval of RCC. Again, it is also well known that breeding values may differ on the basis of source(s) of information under an animal model and between selections within breed. Similar factors also have been reported to be responsible for the differences of breeding values of different traits (Khan et al 2008).
The economic selection index or total merit value of the selection objective of milk production was calculated as the sum of the product of BLUP estimated breeding values with the economic values of all traits. This approach is similar to the method used by Fernandez- Perea and Alenda Jimenez (2004) and Khan and Mazumdar (2011). In the economic selection index, there were a favorable combination between of genetics and economics, therefore according to the economic selection index or total merit the highest ranking cows selection as the parents for the production of offspring in the next generation could be more beneficial. A total economic merit index provided greater economic returns for animal evaluation, than a single trait merit index were reported by Miglior et al (2005) and Khan and Mazumdar (2011).
This study indicated that the RCC produced intermediate profit than Local and Holstein × Local crossbred for a one-year operation. However, when life-time productivity and calving interval, was considered, RCC is supposed to generate higher profitability than the Holstein × Local and Local cows. Therefore, RCC can be recommended for small scale farming in Bangladesh. But further research is needed about the suitability of RCC under commercial farming.
We would like to express our sincere gratitude to the authority of Bangladesh Livestock Research Institute (BLRI), Savar, Dhaka for providing the fund of this project and also for their assistance, guidance and support throughout the whole research period. We also thanks to the authority of Chittagong Veterinary and Animal Sciences University, Bangladesh for providing the opportunity to pursue this study. We acknowledge the scientific officers, Red Chittagong Cattle Genetic Improvement and Conservation Project and the farmers for their cooperation and providing the data.
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Received 14 August 2011; Accepted 27 November 2011; Published 4 January 2012