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A perspective on household dairy farming in district Naushahro Feroze, Sindh Pakistan

A household (HHs) survey was conducted to collect the information on household dairy farming with special reference to management of livestock, milk production and marketing as well as role of livestock in household income in Naushahro Feroze district of Sindh Province of Pakistan. Six hundred households were selected from 40 villages in four out of nine Talukas (administrative units) using multistage clustering method. Estimates of the study revealed that 54% of the households possessed buffaloes. Average number of buffaloes was estimated at 4.28 while 376 (63%) of the household reported cattle with average number of 4.38 heads per household. Small number of buffalo and cattle bulls were recoded. Average number of 5.55 goats per households was reported by 35% of all the households. On an overall basis, 2,365 liters of buffalo milk was computed from 600 households, while 1,033 liters (43.7%) was used in households and 1,332 (56.3%) liters was sold. About 1,868 liters of cow milk were computed from 600 households, while 915 liters (49%) of milk used in households and 953 (51.0%) liters were sold. Majority of houses supply milk to milk collection agents (72.0%), while the most prevalent mode of payment was recorded on weekly basis (73%). About 66.0% of the respondents reported that they contact veterinary doctors. Relatively more proportion (39.0%) of abortion was estimated for the households who used Oxytocin before milking of animals. Using chi-square statistic, the relationship between use of Oxytocin and abortion in large animals was found highly signifi cant (p<0.01). On an average basis, 3.0% growth rate in livestock was estimated. The highest growth rate (5.0%) was recorded in buffaloes. Livestock contributed about 21.0% to household income (sale of milk 11% and sale of animals 10%). Relatively more proportion of females was recorded in livestock rearing (44.6%); followed by skilled labor (handicrafts: 28%), and agriculture (12.1%). Case Report A perspective on household dairy farming in district Naushahro Feroze, Sindh Pakistan Israr Yasin*,Talha, Hira, Warisha, Sajid Hussain Faculty of Veterinary Medicine of Sindh Agriculture University, Pakistan Received: 10 September, 2019 Accepted: 20 September, 2019 Published: 21 September, 2019 *Corresponding authors: Israr Yasin, Faculty of Veterinary Medicine of Sindh Agriculture University, Pakistan, E-mail:


Introduction
Like other developing countries, dairy farming plays a pivotal role in providing food security in Pakistan. Majority (70%) of the farmers are dairy holders possessing up to 10 animals [1]. Livestock provides livelihoods to around 33 million people and majority of them are living in rural settlements.
Livestock contributes a share almost equal to agricultural crops in national GDP, which is collectively about 23% [2]. Milk marketing is gaining importance in Pakistan due to attractive prices of milk, especially after induction of food companies viz. Nestle, Engro-foods and Haleeb. Pakistan is producing 42.199MT of milk (buffalo 26.223 and cow 14.437MT), out of that 34.06MT (cow 11.55, buffalo 20.99) is available for human consumption. The value of total milk production is much higher than that of major crops of the country viz. wheat and cotton [3]. Since agriculture is a risky business and vulnerable to weather, therefore, income of farmers varies dramatically from seasons to season and bankruptcy is a common phenomenon especially during cropping season in developing countries. However, livestock provides an economic-safety shield to farmers from poverty menace [4].
Naushahro Feroze district is one of the poor districts of Sindh province of Pakistan in terms of development indicators. Being a lower riparian, the district is facing water shortage, hence, natural livelihood options have depleted during the last many years. In this situation, livestock is one of the major economic sources of livelihood of the people. The study was conducted to estimate the number of animals, milk production, domestic consumption and sale, record management and facilities in livestock farming, estimate contribution of livestock income to total household income, and explore the female contribution in household dairy farming in the district.

Research design
The design of this research was descriptive survey and the A sample of 600 households was selected from four (4) talukas as mentioned above with equal number of households (150) from each taluka. A multistage-cluster sampling was applied to select households. In the fi rst stage, 40 villages were selected (10 villages from each taluka) and in second stage, 600 households were selected from 40 villages (averagely 15 households from each village). Randomization was done to select villages and households using systematic sampling whereby every k item is selected. Statistical Package for Social Sciences (SPSS, Version 17) was used to analyze the data. Descriptive and inferential statistical methods were used to analyze the data. Descriptive methods included arithmetic mean, frequencies, percentages and totals while using inferential statistics multiple linear regression models was used to explore determinants of milk production.
Stepwise regression method was applied to select signifi cant independent variables. Before running regression, traditional level of signifi cance at 5% was decided to include the variables in the proposed model. The average number of ram, ewe and lambs per household was estimated at 2.33, 6.86 and 4.78, respectively. Table 3 presents the buffalo milk production, consumption and sale. About 2,365 liters of buffalo milk was computed from 600 households while 1,033 liters (44%) was used in household while 1,332 (56%) liters was sold. Likewise, 1,868 liters of cow milk was computed from 600 households while 915 liters (49%) were used in household while 953 (51%) liters were sold [7], suggested that higher milk production can be obtained by providing clean and good housing to animals. The animal should be facilitated with drinking water. Sheds of the animals should be well ventilated with protection of the animals from   On an overall basis, majority of houses supply milk to milk collection agents (72%), followed by hotels (14%), neighbours (9%), milk collection agents of companies (4%) and sweet shops (1%).

Livestock sheds
About one third (34%) of the households reported the livestock shed facility. Figure 3 reveals the distribution of livestock sheds by type. Landhi (made of wood and straw) was reported as more than one-half (52%) of all the livestock sheds. Proportion of katcha sheds (made of mud) was estimated 45%, whereas pacca and semi pacca sheds were 1 and 2%, respectively. Table 4 shows the area of livestock sheds.
Average uncovered area of livestock sheds was reported to be 1,655 sq feet while average covered area was 1956 sq feet with minimum and maximum shed area of about 50 and 60,000 sq feet, respectively. Majority of the respondents reported that the livestock is tethered by chain under trees outside their houses.  Figure 5 unveils the source of treatment of sick animals. About 66% of the respondents reported that they contact veterinary doctors while 27% with local healers and only 7% with vaccinators. Local healers were found active in Moro where almost half (47%) of the respondents nominated local healers as a source of treatment for their sick animals.

Livestock farmer's perceptions regarding use of oxytocin
Less than half (48.1%) of the respondents reported that they use oxytocin before milking ( Figure 6). Trend of using oxytocin was relatively higher in Moro where 49.2% of the respondents reported use of this milk letdown hormone. Almost half of the respondents called it (i.e use of oxytocin) a good practice.

Growth trends in livestock during one year
Growth trends in livestock during one year are shown in table 6. On an average basis, 3.0% growth rate in livestock has been estimated. The highest growth rate (4.9%) was recorded for buffaloes, followed by cows (3.10%) and goats (1.10%) while sheep are decreasing at 3.90%. Highest mortality rate was reported for goats (10.60%), followed by buffalo (6%), cow (5.5%) and sheep (2.6%).

Contribution of livestock in household income
Average monthly income of a household was about Rs. 19,000 with standard error of the mean of about Rs 960. Figure  8 reveals the distribution of income by profession. About 43% of the income was estimated form agricultural crops. Income of unskilled labor contributed about 16% and was ranked as the second major source of income. Income earned from "sale of milk" and "sale of livestock" was ranked as the third and fourth source of income accounting for about 11% and 10%, respectively. Collectively, livestock contributed about 21% to household income. Share of income from government services was 9% followed by skilled labor (6%), private service (3%), and business and shop (2%). Figure 9 shows the labor force by gender. Very small contribution of females was recorded in service and business professions. However, relatively more proportion (44.6%) of females was recorded in livestock rearing followed by skilled labor (handicrafts: 28%) and agriculture (12.1%).

Suggestions
Based upon estimates collected through this study and observations recorded during survey, the following suggestions are furnished. Milk processing companies should be encouraged to install chillers and purchase milk from remote areas of Naushahro Feroze district. Veterinary department of Provincial Government and NGOs should facilitate each other in the development of livestock, diagnosis of disease, supply of vaccines, and awareness campaigns. There should be district wise epidemiological units, so they can predict and estimate the actual magnitude of disease threats and prepare a proper strategy to combat contagious and zoonotic diseases. Awareness campaigns should be started against the use of oxytocin in milking buffaloes.      Milk from cattle and buffaloes was major source of food and income generation since half of the milk produced was used as household consumption while the remaining half was sold in local market. Livestock contributed about 21% to household income (sale of milk 11% and sale of animals 10%). Milk collection agents (73%) were reported to be major milk selling channel of these small dairy farmers. Negative impact of oxytocin was recorded since 39% of abortion was estimated for the households who used oxytocin before milking of animals.