scholarly journals Evaluation of Water Scarcity Footprint for Taiwanese Dairy Farming

Animals ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 956
Author(s):  
Wei-Tse Liao ◽  
Jung-Jeng Su
Keyword(s):  
Milk Production ◽  
Water Scarcity ◽  
Environmental Sustainability ◽  
Dairy Farms ◽  
Raw Milk ◽  
Dairy Farming ◽  
The Other ◽  
Policy Makers ◽  
Potential Impact ◽  
Central Taiwan

Raw milk production in Taiwan has increased year after year, which means that the environmental impact might also be intensified in certain regions. To balance both consumer demand and environmental sustainability, evaluating the potential impact and understanding the causal relationship between production and environment is imperative. This study applied the life cycle assessment (LCA) protocol to explore water consumption for raw milk production from cradle to farm gate of five dairy farms in Hsinchu County and evaluate the stress-weighted water scarcity footprint (WSF) as well as the water scarcity productivity (WSP) of the 16 Taiwanese counties and cities. Results indicated that the highest stress-weighted WSF of the dairy farms for raw milk production was located in northern and central Taiwan and was around 44.8 H2Oeq/kg fat- and protein-corrected milk (FPCM). On the other hand, both the smallest stress-weighted WSF (about 2.2 H2Oeq/kg FPCM) and the highest WSP (0.749 kg FPCM/m3 water) of the dairy farms were located in Nantou and Chiayi Counties, because these two counties were the least water-stressed regions in Taiwan. The achievement of this study could be the first and important reference for the sustainable production of raw milk and optimizing the industrial policy of dairy farming by policy makers.

scholarly journals A partial life cycle assessment approach to evaluate the energy intensity and related greenhouse gas emission in dairy farms

2013 ◽  
Vol 44 (2s) ◽  
Author(s):  
Lelia Murgia ◽  
Giuseppe Todde ◽  
Maria Caria ◽  
Antonio Pazzona
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Energy Consumption ◽  
Milk Production ◽  
Environmental Sustainability ◽  
Greenhouse Gas Emission ◽  
Production Systems ◽  
Dairy Farms ◽  
Dairy Farming ◽  
Feeding Management

Dairy farming is constantly evolving towards more intensive levels of mechanization and automation which demand more energy consumption and result in higher economic and environmental costs. The usage of fossil energy in agricultural processes contributes to climate change both with on-farm emissions from the combustion of fuels, and by off-farm emissions due to the use of grid power. As a consequence, a more efficient use of fossil resources together with an increased use of renewable energies can play a key role for the development of more sustainable production systems. The aims of this study were to evaluate the energy requirements (fuels and electricity) in dairy farms, define the distribution of the energy demands among the different farm operations, identify the critical point of the process and estimate the amount of CO2 associated with the energy consumption. The inventory of the energy uses has been outlined by a partial Life Cycle Assessment (LCA) approach, setting the system boundaries at the farm level, from cradle to farm gate. All the flows of materials and energy associated to milk production process, including crops cultivation for fodder production, were investigated in 20 dairy commercial farms over a period of one year. Self-produced energy from renewable sources was also accounted as it influence the overall balance of emissions. Data analysis was focused on the calculation of energy and environmental sustainability indicators (EUI, CO2-eq) referred to the functional units. The production of 1 kg of Fat and Protein Corrected Milk (FPCM) required on average 0.044 kWhel and 0.251 kWhth, corresponding to a total emission of 0.085 kg CO2-eq). The farm activities that contribute most to the electricity requirements were milk cooling, milking and slurry management, while feeding management and crop cultivation were the greatest diesel fuel consuming operation and the largest in terms of environmental impact of milk production (73% of energy CO2-eq emissions). The results of the study can assist in the development of dairy farming models based on a more efficient and profitable use of the energy resources.

scholarly journals Comparative economic analysis of dairy characteristics focused on repeat breeding losses in selected milk pocket areas of Bangladesh

2020 ◽  
Vol 48 (2) ◽  
pp. 145-154
Author(s):  
MN Islam ◽  
MS Bari ◽  
MR Habib ◽  
MM Sarkar ◽  
MA Islam
Keyword(s):  
Milk Production ◽  
Dairy Herd ◽  
Dairy Farms ◽  
Dairy Farming ◽  
Economic Benefits ◽  
The Other ◽  
Milk Productivity ◽  
Gross Margin ◽  
Important Approach ◽  
The Cost

Dairy farming is an important approach for farmers to increase their incomes and which has a significant contribution to the economy of Bangladesh. The present study describes the dairy characteristics and estimates the financial profitability of dairy farming in selected milk pocket districts of Bangladesh. Following study areas- Sirajganj, Bogura, Rangpur, Satkhira and Munshiganj districts were selected based on the fastest growing dairying, abundant number of dairy farms and contribution in national milk production. Two hundred and sixty-five (265) dairy farms were selected across the study areas and data were collected through direct interview method. The study revealed that dairy herd sizes from the surveyed farms varied from 5 to 19 per farm. Average milk productivity was found 7 to 10 L per cow per day, in which Satkhira district cow’s milk productivity per day (10 L/cow/d) and lactation (3,116 L/cow/lactation) was found the highest and Rangpur district was the lowest. On the contrary, significantly (p=0.000) highest milk production per farm per lactation was in the Rangpur district (33,697 L) and the lowest in the Bogura district (9,818 L). Results revealed that statistically (p=0.000) higher income generated in Munshiganj district in terms of per cow per year and/or per day compared to the other milk pocket districts. The study also indicated that repeat breeding cost and unavailable income per farm per year were higher in the Sirajganj district and lowers in the Bogura district. Repeat breeding problems increases the production cost of the animals significantly (p=0.000) and negatively affect the farm profitability of the milk pocket areas in Bangladesh. Annually gross margin and net return per cow were statistically (p=0.000) higher in Munshiganj district. Benefit-cost ratios were found more than one and indicated that benefit is much higher than the cost of production at Satkhira (annual BCR/farm=1.52) and Munshiganj districts (annual BCR/farm=1.50) compared to the other areas (0.27–0.35 units more). Dairy farming provides higher economic benefits to the farmers of Munshiganj and Satkhira districts compared to the other milk pocket districts. The research concludes that there is an ample scope and possibility for sustaining and developing dairy farming in the milk pocket districts of Bangladesh. Overall, it may be suggested that the causes of repeat breeding should be identified and corrected accordingly within the shortest possible time for the betterment of dairying. Also, milk prices should be similar across the milk pocket districts and essential inputs prices should be kept within the affordable purchase range of farmers for sustainable dairying. Bang. J. Anim. Sci. 2019. 48 (2): 145-154

Using reference values to assess environmental sustainability of dairy farms

2011 ◽  
Vol 27 (3) ◽  
pp. 217-227 ◽  
Author(s):  
I. Acosta-Alba ◽  
M.S. Corson ◽  
H.M.G. van der Werf ◽  
P. Leterme
Keyword(s):  
Milk Production ◽  
Reference Values ◽  
Environmental Sustainability ◽  
Energy Use ◽  
Production Systems ◽  
Impact Category ◽  
Dairy Farms ◽  
Farming System ◽  
Agricultural Systems ◽  
Environmentally Sustainable

AbstractOne challenge for the environmental assessment of agricultural systems is to progress from estimating whether one farming system has fewer impacts than another to estimating whether or not it can be considered environmentally sustainable. To this end, we developed reference values (RVs) of farm emissions or energy use per hectare that defined hypothetical sustainability thresholds in each of three impact categories: climate change, water-quality degradation and non-renewable energy use. We applied one RV per category to the potential impacts (estimated by life-cycle assessment) of 45 French dairy farms to identify farms below RVs in each impact category and then evaluated their management and production characteristics. Seventeen of the 45 farms lie below at least one of the three RVs. Groups of farms below RVs had a higher percentage of organic farms, larger mean usable agricultural area, longer mean pasture residence time and lower mean inputs of concentrate feed and nitrogen than those above the same RVs. In consequence, the groups below RVs also tended to have lower mean milk production per cow and per hectare. All milk production systems can move toward environmental sustainability even though, according to production mode and intensity, some potential impacts are easier to reduce than others. Most farms were unable to attain the lowest RVs, suggesting that policy-makers may need to consider less ambitious RVs for existing agricultural systems. Otherwise, the distance between normative RVs and indicator values of dairy farms suggest that production and consumption of agricultural products will need to change if sustainability goals do not.

scholarly journals Aлгоритм імплементації належної практики молочного фермерства з метою отримання безпечного та якісного молока-сировини

2017 ◽  
Vol 19 (78) ◽  
pp. 53-57
Author(s):  
L.A. Kondrasii ◽  
O.M. Iakubchak ◽  
L.V. Shevchenko
Keyword(s):  
Occupational Health ◽  
Milk Production ◽  
Raw Materials ◽  
Raw Milk ◽  
Dairy Farming ◽  
Technical Condition ◽  
Quality Parameters ◽  
Farming Practices ◽  
Welfare Programs ◽  
Dairy Equipment

Currently, Ukraine has not control of sanitation and hygiene of obtaining raw milk on the farm. This is connected of the Order of the Prime Minister of Ukraine dated January 20, 2016, No. 94-р «On the recognition of invalid acts, and those that are not applicable in Ukraine, regulations of sanitary legislation» The assessment of some safety and quality indicators of milk is carried out only when milk is received for processing. An algorithm for the implementation of good dairy farming practices in Ukrainian farms has been developed, that give consideration the analysis of the current practices of raw milk production in Ukraine. The algorithm is based on the principles of good dairy farming practices and good farming practices for animal production food safety. The implementation of the algorithm will give an opportunity to provide and analyze of raw milk safety and quality parameters on Ukrainian farms. An algorithm of good dairy farming practices implementation on Ukraine farms take into account the creation of a working group, the development of 12 programs (which are provided with the 71st instruction) and the establish a farmstead laboratory.Give consideration research data about technical support and milk production practices at Ukrainian farms, we have been developed two blocks of programs to implement good dairy farming practices. a block of cow welfare programs and a block of programs for obtaining safe and high-quality milk-raw materials. The first – A block of programs for ensuring of cows welfare, includes programs: good stable climate, dairy barn and farm territory hygiene and technical condition, feed and water hygiene, good veterinary management, calves management, and occupational health of cow's carers. The second – A block of programs for ensuring safety and quality raw milk, includes programs: preparation of cows for milking, good milking practice, post-milking measures, control of support for technical serviceability of dairy equipment, good sanitary and hygienic status of dairy equipment and milking room, and the hygiene and occupational health of persons employed in the milking of the farm. 

Estimates of achievable milk production on subtropical dairy farms in Queensland

2000 ◽  
Vol 40 (6) ◽  
pp. 805 ◽  
Author(s):  
D. V. Kerr ◽  
P. M. Pepper ◽  
R. T. Cowan
Keyword(s):  
Decision Support ◽  
Survey Data ◽  
Milk Production ◽  
Support System ◽  
Dairy Farms ◽  
The Other ◽  
Age Group ◽  
Knowledge Based ◽  
History Of ◽  
Farm Survey

A knowledge-based decision support system called DAIRYPRO was applied to farm survey data to provide estimates of the achievable milk production for dairy farms in Queensland. The survey data were obtained from personal interviews conducted in 1994–95 involving 37–86% of farmers in 4 dairying districts in Queensland. Farms that had higher levels of milk production and a history of adopting proven management aids such as herd recording had production levels closer to achievable milk production. Measured milk yield relative to achievable milk production for 2 regions was significantly different from the other 2, while the age of the main decision maker was also a significant factor, with farmers aged 30–59 years producing closer to achievable milk production than any other age group (P<0.05). Seven percent of farms had measured production levels greater than the model’s estimation of achievable milk production.

scholarly journals Labour Efficiency of Dairy Farms with Different Types and Sizes in Hajdú-Bihar County

2006 ◽  
pp. 62-67
Author(s):  
András Vántus
Keyword(s):  
Milk Production ◽  
Rural Areas ◽  
Work Force ◽  
Dairy Farms ◽  
Raw Milk ◽  
The European Union ◽  
Housing Systems ◽  
Different Types ◽  
Large Farms

Questions and uncertainties characterised the accession period of Hungary to the European Union. It is evident that only those producers can compete on the market who produce good quality products. Therefore, only dairy farms with extra high quality raw milk production will be successful. Furthermore, on this basis, rural areas will be able to keep their inhabitants one of the most important problems presently. The author examined the process of milk production and the labour efficiency of 18 dairy farms in Hajdú-Bihar County. Mechanization, the quality of the work force and the system of incentives were assessed. Data of produced milk quality were collected too. Because of farms with different types and sizes the circumstances of milk production differ greatly. As a result of data analysis it was found that the working schedule of small and large farms often differed. The most important working processes (milking, feeding, harvesting) are done by family members. In order to increase the efficiency and improve working atmosphere the improvement of wage and incentive systems would be desirable. Labour efficiency indexes show that the efficiency of tie-stall systems is lower than the efficiency of similar size loose-housing systems. It can also be stated; that labour efficiency of similar size loose housing dairies differs greatly so the importance of work-studies should be increased.

scholarly journals Comparative economics of rural and periurban dairy farming in Kalaburagi district of Karnataka

2019 ◽  
Vol 11 (4) ◽  
pp. 762-767
Author(s):  
Vinayak Patil ◽  
B. S. Reddy ◽  
S. S. Patil ◽  
G. M. Hiremath
Keyword(s):  
Milk Production ◽  
Dairy Farms ◽  
Economic Indicator ◽  
Dairy Farming ◽  
Maintenance Cost ◽  
Fixed Cost ◽  
Crossbred Cows ◽  
Comparative Economics ◽  
The Cost ◽  
Crossbred Cow

Cost of milk production is an important economic indicator in assessing the farm household efficiency in milk production as well as basis for price fixation. The study was undertaken to analyse the cost and returns of milk production in rural and periurban dairy farms of Kalaburagi district of Karnataka. The per day maintenance cost in periurban dairy farms (` 150.64) was highest compared to rural dairy farms (` 91.29)for local cows, crossbred cows and buffaloes. Among total maintenance costs of periurban dairy farming, feed and fodder costs accounted major share (73.49%) followed by labour cost (15.53%) and total fixed cost (7.73%). The return per litre of milk was highest (` 8.91) for crossbred cows followed by buffalo (` 4.82) and local cows (` 0.14). The net return from crossbred cow was more than that of buffalo and local cows indicating higher profitability in rearing crossbred cow in the study area.

scholarly journals Efeito do sistema de criação no desempenho técnico e econômico de rebanhos leiteiros

2017 ◽  
Vol 38 (3) ◽  
pp. 1561
Author(s):  
Rodrigo De Andrade Ferrazza ◽  
Marcos Aurelio Lopes ◽  
Fábio Raphael Pascoti Bruhn ◽  
Flavio De Moraes ◽  
Francisval De Melo Carvalho
Keyword(s):  
Comparative Analysis ◽  
Milk Production ◽  
Economic Performance ◽  
Dairy Farms ◽  
Dairy Farming ◽  
The State ◽  
Farm Size ◽  
Operational Costs ◽  
Husbandry System ◽  
Economic Indexes

This study aimed to investigate the effects of husbandry system on the technical and economic performance of dairy farming. Samples included data from 61 dairy farms from the State of Minas Gerais, Brazil, which were collected between 2002 and 2011. Farms were categorized by type-pasture-based (PB), semi-confinement (SC), and confinement (C)-and technical and economic indexes were compared. In general, the results indicated indexes that are higher than the average for Brazilian farms but lower than those in other countries or technological farms in other Brazilian regions. Milk production was mainly determined by farm size rather than by productivity indexes. Components of the total and effective operational costs that were most significant were feeding followed by labor. The comparative analysis indicated that, although C systems have technical indexes that are superior to those of the PB and SC systems, economic performance was independent of the intensification level. Thus, pasture systems are potentially competitive, provided that the producers are efficient.

scholarly journals Enhancement potentials for labour efficiency in small and large scale cattle farms

2001 ◽  
pp. 70-75
Author(s):  
Tibor Nagy
Keyword(s):  
Milk Production ◽  
Large Scale ◽  
Dairy Farms ◽  
Raw Milk ◽  
Small Scale ◽  
Work Organisation ◽  
Examination Methods ◽  
Cattle Farms ◽  
Small Scale Dairy

The author examined the possibilities of increasing the labour efficiency at 6 large-scale farms and at 109 small-scale farms in Hajdú-Bihar county. He stated that the level of labour efficiency was higher for large scale farms than for small-scale farms. However, there is potential for work organisation of milking, feeding and other jobs on the large-scale farms, too. The reason for the low labour efficiency on small-scale dairy farms is the small number of livestock, obsolete machinery, and lack of expertise. The author points out that the quality of raw milk is also an important issue. Using examination methods of work organisation, he determined the critical points of raw milk production.

scholarly journals Effects of rations and seasons on milk yield and composition in small and medium dairy farms from a Tunisian northern area (Bizerte Region)

Mljekarstvo ◽  
2021 ◽  
Vol 71 (3) ◽  
pp. 194-203
Author(s):  
Khaoula Attia ◽  
Keyword(s):  
Protein Content ◽  
Milk Production ◽  
Milk Yield ◽  
Dairy Farms ◽  
Physicochemical Characteristics ◽  
Fat Content ◽  
Milk Quality ◽  
The Other ◽  
Northern Area ◽  
Autumn And Winter

In Tunisia, dairy farming faced several problems limiting the improvement of the milk sector, mostly at the level of small farmers. These difficulties are related to the milk quality affected by the feed quality distributed throughout the year. This study aimed to evaluate the effect of rations and seasons on daily individual milk production (DIMP) and some physicochemical characteristics (Fat content: FC, Protein content: PC, Urea concentration: UC, Total Solids: TS). A survey and milk samplings were performed on 135 farmers. Collected data were treated by the variance analysis using the GLM procedure of the SAS system. This study allowed to identify four types of ration: TR1: Concentrate (CC)+Green Forage(GF), TR2: CC+Dry Forage (DF), TR3: CC+GF+DF and TR4: Diet containing Silage (S), used by farmers with the frequencies of 14.82, 37.19, 44.6 and 3.38 % respectively. The highest DIMP (P<0.0001) was obtained by TR1 (17.3 kg/day) and the lowest (13.6 kg/day) by TR2. TR4 allowed FC, PC (P<0.05) and TS (P<0.01) higher (3.84, 3.14 and 12.31 % respectively) than those obtained in the other rations. The UC (P<0.0001) was the highest in TR1 and TR3 (32.05 mg/dL) followed by TR4 (28.3 mg/dL) and TR2 (26.2 mg/dL). Concerning the season effect, the highest DIMP (P<0.0001) was obtained during spring (17.7 kg/day), the lowest was during autumn (13.1 kg/day). The FC (P<0.05) was the lowest in winter (3.52 %). The PC (P<0.01) was higher during autumn and winter (averaged 3.07 %). The UC (P<0.0001) was the highest in spring (32.23 mg/dL) and the lowest in autumn (25.67 mg/dL). It was concluded that milk parameters were in the acceptable ranges comparatively to the national averages.

Sign in / Sign up

Export Citation Format

Share Document