scholarly journals Sustainable Water Use Considering Three Hungarian Dairy Farms

2020 ◽  
Vol 12 (8) ◽  
pp. 3145 ◽  
Author(s):  
Virág Nagypál ◽  
Edit Mikó ◽  
Cecilia Hodúr
Keyword(s):  
Water Management ◽  
Fresh Water ◽  
Water Use ◽  
Dairy Farm ◽  
Dairy Farms ◽  
Weather Conditions ◽  
Herd Size ◽  
Productivity Level ◽  
Sustainable Solutions ◽  
The Impact

Sustainable water management is one of the biggest challenges in the 21st century as availability of fresh water resources is under depletion. Growing population, extreme weather conditions (drought, fire, flood), and increasing global food demand all result in higher water consumption by humans. Assessing qualitative and quantitative deterioration of fresh water supplies is crucial in water scarcity areas. By identifying blue, green and grey water components, water use can be assessed in a more comprehensive way. Water use assessment on a dairy farm is influenced by several factors such as chosen breed, herd size, keeping, feeding and milking technology. Productivity level of milking cows, amount of daily milking and type of litter (straw or liquid manure) have impact on water use by technology and cattle. If these factors are assessed and their proportion within the total water use is identified or calculated, dairy farmers are able to analyze water management precisely and shift to more sustainable solutions. The aim of this research is to analyze and to compare the impact of different keeping systems, i.e., traditional and modern, and milking technologies, i.e., robotic milking system, parallel and polygon parlors, on the water use of dairy farms to give a guide to dairy experts and to find opportunities where water recycling/reuse might be applicable.

scholarly journals Pasture persistence: how much is it worth?

2011 ◽  
Vol 15 ◽  
pp. 3-6
Author(s):  
R. Brazendale ◽  
J.R. Bryant ◽  
M.G. Lambert ◽  
C.W. Holmes ◽  
T.J. Fraser
Keyword(s):  
Dry Matter ◽  
Management Practices ◽  
Dairy Farm ◽  
Dairy Farms ◽  
System Model ◽  
Dry Matter Yield ◽  
Farm Profitability ◽  
Farm System ◽  
The Impact ◽  
Different Levels

The farm system model, Farmax Dairy Pro, was used to evaluate the impact of new pastures on dairy farm profitability, assuming a range of pasture yields and qualities, and different levels of persistence in the new pastures, which were established on 10% of the farm annually. Scenarios were tested for Waikato, Taranaki, Canterbury and Southland dairy farm systems. Assuming a $6.50/kg MS milk payment and a response to pasture renewal of 10% in dry matter yield and a 0.6 MJ ME/kg DM increase in quality, increasing persistence from 4 years up to 8 years was modelled to increase dairy farm profitability by $271/ha to $478/ha. Management practices, including selections of cultivars and endophytes, that improve pasture persistence are likely to increase dairy farm profitability. Keywords: dairy farms, modelling, pasture renewal, persistence

scholarly journals FATORES QUE AFETAM A RENTABILIDADE DA PECUÁRIA DE LEITE

Nativa ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 295
Author(s):  
Lucas Maciel Gomes Olini ◽  
Andrea Beltrani Donadia ◽  
Henrique Melo da Silva ◽  
Karine Claudia Alessi ◽  
Daniel Carneiro de Abreu ◽  
...  
Keyword(s):  
Milk Yield ◽  
Economic Performance ◽  
Production Efficiency ◽  
Dairy Farm ◽  
Dairy Farms ◽  
Labor Cost ◽  
Productivity Index ◽  
Mato Grosso ◽  
Lactating Cows ◽  
The Impact

Objetivou-se identificar e quantificar os indicadores associados com o tamanho, com a taxa de giro do capital investido (TGC) e com a lucratividade que afetam a rentabilidade da pecuária de leite. Os dados originaram-se de vinte e sete produtores de leite (213,6 ± 193,9 litros de leite/fazenda/dia) no Estado de Mato Grosso, coletados durante doze meses. Dos fatores associados com a lucratividade, o custo com mão-de-obra relativa à renda com leite e a produtividade da mão-de-obra afetaram negativamente a rentabilidade. O preço do leite, os custos com alimentação concentrada ou volumosa relativos à renda bruta com leite não afetaram a rentabilidade da pecuária.  Os indicadores associados com a produtividade da terra (produção de leite por área e número de vacas em lactação por área usada pelo rebanho) apresentaram maior impacto na rentabilidade da pecuária de leite que os indicadores de produtividade do rebanho. A proporção de vacas em lactação em relação ao rebanho e a produção de leite por total de vacas (mas não por vaca em lactação) são os indicadores de produtividade do rebanho de maior impacto na rentabilidade.Palavras-chave: custo de produção; eficiência; lucratividade. FACTORS AFFECTING THE PROFITABILITY OF DAIRY FARMING  ABSTRACT: The objective was to identify and quantify the impact of indicators associated with size, return on invested capital (ROIC) and profitability on economic performance (rentability) of dairy farms. Data from twenty seven dairy farms (213.6 ± 193.9 liters milk/farm/day) were collected in Mato Grosso State, during twelve months. Of the factors associated with profitability, the labor cost and labor productivity negatively affected rentability. Milk price and concentrate feed cost (in relation with milk gross income) did not affect rentability of dairy farm. Land productivity index (milk yield/dairy farm area; lactating cows/dairy farm area used by dairy herd) had greater impact on economic performance than animal productivity index. Lactating cows/head ratio and milk yield per total cows (but not by lactating cow) are the animal productivity index that had the greatest impact on rentability of dairy farms.Keywords: cost of production; efficiency; profitability.

Comparison of organic and conventional dairy farms in Ontario

1999 ◽  
Vol 14 (3) ◽  
pp. 122-128 ◽  
Author(s):  
Yetunde O. Ogini ◽  
D. Peter Storehouse ◽  
E. Ann Clark
Keyword(s):  
Dairy Farm ◽  
Personal Characteristics ◽  
Dairy Farms ◽  
Herd Size ◽  
Geographic Region ◽  
Farm Income ◽  
Total Revenue ◽  
Total Cost ◽  
Cost Of Production ◽  
Scale Of Operation

AbstractThe scale of operation and economic performance of organic and conventional dairy farms were compared in Ontario in 1992. Eight certified organic (ORG) farms, comprising 40% of all organic dairy farms, were contrasted with a sample of 120 conventional farms (1.5% of the provincial total) identified under the auspices of the Ontario Dairy Farm Accounting Project (ODFAP). The ODFAP sample was stratified by geographic region in Ontario, then randomly selected within each region. Neither ORG nor ODFAP farm samples contained any hobby or part-time farmers. Scale of operation was comparable on the two types of dairies, with the ratio of ORG to ODFAP being 122% for tillable landbase (ns) and 107% for herd size (ns). Similarly, milk production was comparable from ORG and ODFAP dairies (5,882 and 5,865 liters/cow, respectively; ns). Data on farmer personal characteristics such as age, education level, and management skills were not collected. It was presumed that managerial capabilities were equal between ORG and ODFAP farm samples.It was hypothesized that total revenue and total cost of production would be greater on ODFAP farms, while net farm income would be higher on ORG than on ODFAP farms. Although the ratio for ORG to ODFAP performance was 93% for total revenue and 77% for total cost of production, neither of these differences was statistically significant. However, ORG dairies yielded 60% more net farm income than ODFAP dairies ($59,718 vs. $37,557; significant at the 5% level). Within the constraints of the supply management marketing system operating in a northern temperate region, ORG approaches to dairy production were shown to be as productive and at least as profitable as those on ODFAP farms, despite reliance on lesser yielding crops and more holistic (less resource-intensive) production methods.

scholarly journals Innovation Issues in Water, Agriculture and Food

Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1230 ◽  
Author(s):  
Maria do Rosário Cameira ◽  
Luís Santos Pereira
Keyword(s):  
Climate Change ◽  
Water Management ◽  
Water Use ◽  
Water Scarcity ◽  
Water Productivity ◽  
Irrigation Scheduling ◽  
Irrigated Agriculture ◽  
Main Challenge ◽  
Agriculture And Food ◽  
The Impact

The main challenge faced by agriculture is to produce enough food for a continued increase in population, however in the context of ever-growing competition for water and land, climate change, droughts and anthropic water scarcity, and less-participatory water governance. Such a context implies innovative issues in agricultural water management and practices, at both the field and the system or the basin scales, mainly in irrigation to cope with water scarcity, environmental friendliness, and rural society welfare. Therefore, this special issue was set to present and discuss recent achievements in water, agriculture, and food nexus at different scales, thus to promote sustainable development of irrigated agriculture and to develop integrated approaches to water and food. Papers cover various domains including: (a) evapotranspiration and crop water use; (b) improving water management in irrigated agriculture, particularly irrigation scheduling; (c) adaptation of agricultural systems to enhance water use and water productivity to face water scarcity and climate change; (d) improving irrigation systems design and management adopting multi-criteria and risk approaches; (e) ensuring sustainable management for anthropic ecosystems favoring safe and high-quality food production, as well as the conservation of natural ecosystems; (f) assessing the impact of water scarcity and, mainly, droughts; (g) conservation of water quality resources, namely by preventing contamination with nitrates; (h) use of modern mapping technologies and remote sensing information; and (i) fostering a participative and inclusive governance of water for food security and population welfare.

scholarly journals DAYA SAING USAHA TERNAK SAPI PERAH RAKYAT DI KECAMATAN PUJON KABUPATEN MALANG JAWA TIMUR

Media Ekonomi ◽  
2014 ◽  
Vol 22 (1) ◽  
pp. 73
Author(s):  
Harmini Adibowo ◽  
Feryanto Willcharo
Keyword(s):  
Dairy Farm ◽  
Dairy Farms ◽  
Government Policies ◽  
Small Scale ◽  
Milk Productivity ◽  
Dairy Farmers ◽  
Farm Unit ◽  
The Impact ◽  
Policy Analysis Matrix ◽  
Small Scale Dairy

<em>Up to present, the dairy farmers only able to meet 25-30 percent of all milk demand in Indonesia, although milk and its derivatives continues to increase steadily. This condition occurs due to low milk productivity, small-scale dairy farm unit, inadequate government policies as well as economic globalization. The objectives of this study are, first, to measure the competitiveness of the small-scale dairy farm. Second, to evaluate the impact of government policies. Third, lastly, to analyse the implication of price changes on input-output. A Policy Analysis Matrix (PAM) for data is applied. The results show that, first, the small-scale dairy farms operate in competitiveness. Second, so far government policies did not provide adequate incentives and directly promote the dairy farms’ competitiveness. Third, high import tariff (15 percent) could significantly protect the competitiveness of the small-scale dairy farms.</em>

scholarly journals Comparative Socio-Economic and Personal Characteristics of Specialized Dairy Farms of North and South Gujarat Regions

2020 ◽  
Vol 15 (03) ◽  
pp. 09-12
Author(s):  
L. M. Sorathiya ◽  
DN Gadhavi ◽  
AL Rathva
Keyword(s):  
Middle Age ◽  
Dairy Farm ◽  
Personal Characteristics ◽  
Dairy Farms ◽  
Herd Size ◽  
Age Group ◽  
Agricultural Activities ◽  
The North ◽  
North Gujarat ◽  
North And South

A study was carried out to compare the socio-economic and personal characteristics of commercial dairy farms/owners of north and south Gujarat. The data were collected from specialized dairy farms, each from the north and south Gujarat. Ten specialized dairy farms with a herd size of more than 40 heads were selected randomly from Sabarkantha and Banaskantha districts as a sample of north Gujarat agro-climatic region and 10 farms were selected from Surat, Bharuch and Navsari districts as a sample from south Gujarat agro-climatic zone. The data were collected from dairy farm owners by administering the questionnaire. The results showed that the majority (60%) of dairy farms had livestock along with agriculture as main source of income, whereas 40% respondents had only livestock enterprise as a main source of income. Only 15% of dairy farms had other non-agricultural activities or business together with livestock. The percentage of dairy farms that had other business together with livestock was slightly higher in south region. The study revealed that majority of the respondents (55%) were of the middle age group, 40% were graduates, and 75% had experience in dairy farming for 5-10 years. Regarding the benefits of subsidy, most of the respondents availed subsidy for various farm-related purposes. About 80% of the dairy farms had taken subsidy for livestock in the north region compared to only 30% of the dairy farms in south Gujarat.

Revised greenhouse-gas emissions from Australian dairy farms following application of updated methodology

2018 ◽  
Vol 58 (5) ◽  
pp. 937 ◽  
Author(s):  
K. M. Christie ◽  
R. P. Rawnsley ◽  
C. Phelps ◽  
R. J. Eckard
Keyword(s):  
Waste Management ◽  
Greenhouse Gas ◽  
Emission Intensity ◽  
Ghg Emissions ◽  
Dairy Farm ◽  
Dairy Farms ◽  
Nitrous Oxide Emissions ◽  
Enteric Fermentation ◽  
On Farm ◽  
The Impact

Every year since 1990, the Australian Federal Government has estimated national greenhouse-gas (GHG) emissions to meet Australia’s reporting commitments under the United National Framework Convention on Climate Change (UNFCCC). The National Greenhouse Gas Inventory (NGGI) methodology used to estimate Australia’s GHG emissions has altered over time, as new research data have been used to improve the inventory emission factors and algorithms, with the latest change occurring in 2015 for the 2013 reporting year. As measuring the GHG emissions on farm is expensive and time-consuming, the dairy industry is reliant on estimating emissions using tools such as the Australian Dairy Carbon Calculator (ADCC). The present study compared the emission profiles of 41 Australian dairy farms with ADCC using the old (pre-2015) and new (post-2015) NGGI methodologies to examine the impact of the changes on the emission intensity across a range of dairy-farm systems. The estimated mean (±s.d.) GHG emission intensity increased by 3.0%, to 1.07 (±0.02) kg of carbon dioxide equivalents per kilogram of fat-and-protein-corrected milk (kg CO2e/kg FPCM). When comparing the emission intensity between the old and new NGGI methodologies at a regional level, the change in emission intensity varied between a 4.6% decrease and 10.4% increase, depending on the region. When comparing the source of emissions between old and new NGGI methodologies across the whole dataset, methane emissions from enteric fermentation and waste management both increased, while nitrous oxide emissions from waste management and nitrogen fertiliser management, CO2 emissions from energy consumption and pre-farm gate (supplementary feed and fertilisers) emissions all declined. Enteric methane remains a high source of emissions and so will remain a focus for mitigation research. However, these changes to the NGGI methodology have highlighted a new ‘hotspot’ in methane from manure management. Researchers and farm managers will have greater need to identify and implement practices on-farm to reduce methane losses to the environment.

scholarly journals Wpływ subsydiów wspólnej polityki rolnej na dochody gospodarstw mlecznych FADN w krajach Unii Europejskiej w latach 2004-2013

2017 ◽  
Vol 17(32) (1) ◽  
pp. 53-62
Author(s):  
Marta Guth ◽  
Katarzyna Smędzik-Ambroży
Keyword(s):  
Agricultural Policy ◽  
Dairy Farm ◽  
Dairy Farms ◽  
Farm Income ◽  
Family Farm ◽  
Panel Regression ◽  
Decoupled Payments ◽  
The Common ◽  
On Farm ◽  
The Impact

The main aim of the article was to assess the impact of the Common Agricultural Policy subsidies on the income of FADN dairy farms in 2004-2013. The share of total subsidies, including subsidies on investments on farm income per unit of work (FWU) on FADN dairy farms in EU countries, with the division to EU-12 and EU-15, was examined. The trend of family farm income with and without subsidies during the period under review was presented. In order to demonstrate which of the groups of subsidies had the greatest impact on family farm income, a panel regression was conducted. It turned out that the most significant for the FADN dairy farm income in 2005-2013 was decoupled payments and additional aid with other support.

scholarly journals The impact of weather and storm water management ponds on the transmission of West Nile virus

2017 ◽  
Vol 4 (8) ◽  
pp. 170017 ◽  
Author(s):  
Yiyuan Wang ◽  
Wendy Pons ◽  
Jessica Fang ◽  
Huaiping Zhu
Keyword(s):  
Water Management ◽  
West Nile Virus ◽  
Weather Conditions ◽  
Equation Model ◽  
Storm Water ◽  
Larval Abundance ◽  
West Nile ◽  
Storm Water Management ◽  
Bird Populations ◽  
The Impact

West Nile virus (WNV) is the most widely distributed arbovirus in the world and the spread is influenced by complex factors including weather conditions and urban environmental settings like storm water management ponds (SWMP). The purpose of this work was to develop an ordinary differential equation model to explore the impacts of SWMP, temperature and precipitation on WNV vector abundance and the transmission of WNV between mosquito and bird populations. The model was used to analyse how weather conditions and SWMP can influence the basic reproduction number. The results found that an excess of precipitation and fiercer intraspecific competition will reduce vector population and the peak value of infectious vectors and birds. This information can be used to identify measures that would be useful to control larval abundance in SWMP and the transmission of WNV.

Characterizing US dairy farm income and wealth distributions

2017 ◽  
Vol 77 (1) ◽  
pp. 64-77 ◽  
Author(s):  
Joleen C. Hadrich ◽  
Christopher A. Wolf ◽  
Kamina K. Johnson
Keyword(s):  
Structural Change ◽  
Dairy Farm ◽  
Population Level ◽  
Dairy Farms ◽  
Wealth Inequality ◽  
Herd Size ◽  
Farm Income ◽  
Content Type ◽  
Net Worth ◽  
Gini Coefficients

Purpose The structural change of the dairy industry has been a long-term process with fewer, larger dairy herds in all regions. The purpose of this paper is to evaluate whether this structural change is leading to less income and wealth equality across dairy farms and how these factors differ across the USA. Design/methodology/approach Income and wealth inequality of US dairy farms was estimated by Gini coefficients using data from the 2000 and 2010 ARMS dairy costs and returns data. A population-level quantile regression was estimated at decile increments to determine the factors that affect net farm income (NFI) and net worth (NETW) and if they changed across the time periods. Findings Adjusted-Gini coefficients were estimated and indicated that income inequality was greater than wealth inequality across US dairy farms. Results of the quantile regressions confirm regional differences exist with dairy farms in Mountain regions consistently having lower NFI and NETW relative to farms in the Lake States region when factors such as herd size were equal. Life cycle effects were not observed for NFI, but present within NETW estimates across the ten years. Originality/value This analysis estimates industry-specific-adjusted Gini coefficients to determine if income and wealth inequality exist.

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