scholarly journals Quantifying Land Fragmentation Metrics for Cattle Enterprises in Northern Ireland

2021 ◽  
Author(s):  
Georgina Milne ◽  
Andrew Byrne ◽  
Emma Campbell ◽  
Jordon Graham ◽  
John McGrath ◽  
...  
Keyword(s):  
Northern Ireland ◽  
Agricultural Landscape ◽  
Dairy Farms ◽  
Farm Size ◽  
Dairy Production ◽  
Quota System ◽  
Land Fragmentation ◽  
Agricultural Efficiency ◽  
The Difference ◽  
Cattle Farms

Farm fragmentation is the occurrence of numerous and often discontinuous land parcels associated with a single farm. Farm fragmentation is considered to be a defining feature of Northern Ireland’s (NI) agricultural landscape, influencing agricultural efficiency, productivity, and the spread of livestock diseases. Despite this, the full extent of farm fragmentation in cattle farms is not well understood, and little is known of how farm fragmentation either influences, or is influenced by, different animal production types. This study describes and quantifies farm fragmentation metrics for cattle enterprises in NI, presented separately for dairy and non-dairy production types. We find that 35% of farms consist of five or more fragments, with larger farms associated with greater levels of farm fragmentation, fragment dispersal and contact with contiguous farms. Moreover, this was particularly evident in dairy farms, which were over twice the size of farms associated with non-dairy production types, with twice as many individual land parcels and twice as many fragments. We hypothesise that the difference in farm fragmentation and farm size between dairy and non-dairy production types is associated with the recent expansion of dairy farms after the abolition of the milk quota system in 2015, which may have driven the expansion of dairy farms via the acquisition of land. The high levels of land fragmentation, fragment dispersal and contiguous contact observed in NI cattle farms may also have important implications for agricultural productivity and epidemiology alike. Whilst highly connected pastures could facilitate the dissemination of disease, highly fragmented and parcellised land could also hamper productivity via diseconomies of scale, such as preventing the increase of herd sizes or additionally, adding to farm costs by increasing the complexity of herd management.

scholarly journals Profitability on dairy farms with automatic milking systems compared to farms with conventional milking systems

2019 ◽  
Vol 22 (2) ◽  
pp. 215-228 ◽  
Author(s):  
Bjørn Gunnar Hansen ◽  
Hans Olav Herje ◽  
Jonas Höva
Keyword(s):  
Dairy Farms ◽  
Ordinary Least Squares ◽  
Transitional Period ◽  
Farm Size ◽  
Farm Income ◽  
Least Squares Regression ◽  
Farm Production ◽  
Automatic Milking ◽  
The Difference ◽  
Automatic Milking Systems

The objective of this study was to explore differences in profitability between farms with automatic milking systems (AMS) and farms with conventional milking systems (CMS). To explore profitability, we analysed the gross farm income from dairy cows. Accounting and production data for over a thousand dairy farms were collected. Using kernel-matching, we made CMS farms more comparable to AMS farms. We then used ordinary least squares regression to estimate the effect of AMS relative to farm size and time passed since last investment in milking systems. The results show that farms must have 35 to 40 cows before AMS becomes more profitable than CMS. Further, any profitability gains will only be visible after a transitional period of approximately four years. Milk revenues are higher on AMS farms, and the difference increases with the size of the farm. Production-related costs are also higher on AMS farms.

scholarly journals Status, Characterization and Typology of Dairy Cattle Farms in Northern Algeria

2019 ◽  
Vol 76 (2) ◽  
pp. 191
Author(s):  
Said BOUKHECHEM ◽  
Nora MIMOUNE ◽  
Mohamed Khalil GHOZLANE ◽  
Nassim MOULA ◽  
Rachid KAIDI
Keyword(s):  
Dairy Cattle ◽  
Dairy Cows ◽  
Statistical Methods ◽  
Dairy Farms ◽  
Calving Interval ◽  
Dairy Production ◽  
Northern Algeria ◽  
And Performance ◽  
Average Size ◽  
Cattle Farms

The aim of this study was to make a finding about the structural, functional and performance aspects of 217 dairy farms in northern Algeria through a survey, then to establish a diagnosis and a typology of these farms.The results showed that farms had an average size of 42.7 ± 102 ha, of which 34.5% was fodder area (FA), and an average of 28 ± 34.5 livestock units (LU) per farm, of which 65% were dairy cows (DC) dominated mainly by the Holstein and Montbeliarde breeds (74.8% of the total herd). The average number of annual work unit (AWU) was 2.98 ± 1.92 AWU/farm of which 78 ± 35% was a family labour. The farms’ performances were generally low. Dairy production (DP) average was 14.3 ± 4.77 kg/cow/day/farm, while fertility represented by calving interval (CI) was 397 ± 20.2 days/cow/farm. The use of multidimensional statistical methods has identified five types of farms.This study revealed a poor exploitation of the dairy potential of cows raised in Algeria, with the dominance of archaic breeding practices that oppose the welfare of these cows. To optimize dairy farming, solutions have been proposed.

scholarly journals Technical Inefficiency Determinants in Potato Production: The case of Potato Farmers in Central Highlands of Ethiopia

2021 ◽  
Vol 04 (03) ◽  
Author(s):  
Daniel Hailu ◽  
Keyword(s):  
Soil Fertility ◽  
Technical Efficiency ◽  
Land Tenure ◽  
Household Head ◽  
Sampling Technique ◽  
Potato Production ◽  
Farm Size ◽  
Tobit Regression ◽  
Cross Sectional ◽  
Land Fragmentation

The study identified the factors that cause variation in the level of efficiency in potato production. The study used household level cross sectional data collected in 2015/16 from 196 sample farmers selected by multistage sampling technique. For the data collection, a personally administered structured questionnaire was used. In the analyses, descriptive statistics, a stochastic frontier model (SFM) and a two-limit Tobit regression model were employed. Tobit model revealed that technical efficiency was positively and significantly affected by education, land tenure status, extension service, credit and soil fertility whereas variables such as sex of household head, age of household head, farm size and land fragmentation affected it negatively. Therefore the study suggested the need for policies to discourage land fragmentation and promote education, extension visits, access to credit and soil fertility for improvement in technical efficiency.

scholarly journals Cross-border Investigations on the Prevalence and Transmission Dynamics of Cryptosporidium Species in Dairy Cattle Farms in Western Mainland Europe

2021 ◽  
Author(s):  
Pedro Pinto ◽  
Claudia A Ribeiro ◽  
Sumaiya Hoque ◽  
Ourida Hammouma ◽  
Hélène Leruste ◽  
...  
Keyword(s):  
The Netherlands ◽  
Human Health ◽  
Dna Sequences ◽  
Significant Risk ◽  
Dairy Farms ◽  
Economic Loss ◽  
Cryptosporidium Spp ◽  
Wide Range ◽  
Parasitic Protist ◽  
Cattle Farms

Cryptosporidium is comprised an apicomplexan parasitic protist, which infects a wide range of hosts, causing cryptosporidiosis. In cattle farms, the incidence of cryptosporidiosis results in high mortality in calves leading to considerable economic loss in the livestock industry. Infected animals may also act as a major reservoir of Cryptosporidium spp., in particular C. parvum, the most common cause of cryptosporidiosis in calves. This poses a significant risk to other farms via breeding centres, to trading of livestock and to human health. This study, funded by the Interreg-2-seas programme, is a part of a global project aimed at strategies to tackle cryptosporidiosis. To reach this target, it was essential to determine whether prevalence was dependent on the studied countries or if the issue was borderless. Indeed, C. parvum occurrence was assessed across dairy farms in certain regions of Belgium, France and the Netherlands. At the same time, the animal-to-animal transmission of the circulating C. parvum subtypes was studied. To accomplish this, 1084 faecal samples, corresponding to 57 dairy-farms from all three countries, were analysed. Well-established protocols amplifying the 18S rDNA and gp60 genes fragments, followed by DNA sequencing, were used for the detection and subtyping C. parvum; the DNA sequences obtained were further characterised using a combination of bioinformatics and phylogenetics methods. Our results show 25.7%, 24.9% and 20.8% prevalence of Cryptosporidium spp. in Belgium, France and the Netherlands respectively. Overall, 93% of the farms were Cryptosporidium positive. The gp60 subtyping demonstrated a significant number of the C. parvum positives belonged to the IIa allelic family, which has been also detected in humans. Consequently, this study highlights how widespread is C. parvum in dairy farms and endorses cattle as a major carrier of zoonotic C. parvum subtypes, which subsequently pose a significant threat to human health.

scholarly journals Technical Efficiency Assessment of Dairy Farm in the South-west Region of Bangladesh

2020 ◽  
pp. 21-28
Author(s):  
Fariha Farjana ◽  
Afia Khatun
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Percent Level ◽  
Dairy Farms ◽  
Farm Size ◽  
The South ◽  
Average Output ◽  
West Region ◽  
South West ◽  
South West Region

The paper concentrates on the measurement of the total factor productivity of dairy farms in the south-west region of Bangladesh. The study used stochastic frontier approach for analyzing the technical efficiency of the dairy farms. Here, seventy dairy farms are considered as a sample. The data reveals that the number of labor and the quantity of food are statistically significant at a 1 percent level of significance.The data also manifests that numerous farm-specific characteristics, i.e. farm size, farmer’s age, and amount of credit are statistically significant at 1 percent, 10 percent, and 10 percent respectively. The range of technical efficiency for the farms varies from 26 percent (minimum) to 95 percent (maximum) where the mean value is 68 percent for the dairy farms of the south-west region. This implies that an average output of milk production falls 32 percent short of maximum possible level. Hence, there is scope of improvement in this sector. Therefore, to improve the farm productivity government should provide proper training, and medical treatment facilities for the farms so that the animals become healthy. If it is possible to do so then the farm level production frontier will shift upward.

scholarly journals Production and Health Management from Grazing to Confinement Systems of Largest Dairy Bovine Farms in Azores: A Farmers’ Perspective

Animals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 3394
Author(s):  
Ivo Medeiros ◽  
Aitor Fernandez-Novo ◽  
Susana Astiz ◽  
João Simões
Keyword(s):  
Production Systems ◽  
Health Management ◽  
Bovine Milk ◽  
Herd Size ◽  
Farm Size ◽  
Economic Viability ◽  
Health Prevention ◽  
Dual Purpose ◽  
Control Programs ◽  
Cattle Farms

The intensification of bovine milk production in the Azores has led farmers to increase farm size and specialization in grasslands, implementing confined and semi-confined production systems. Fixed milking parlours (FMP) have progressively gained more popularity, at the expense of conventional mobile milking systems (MMS). The present study aimed to evaluate the associations between production and health management in dairy cattle farms, with FMP or MMS, in grasslands (São Miguel, Azores), according to the farmers’ perspective. A total of 102 questions about production and health management were surveyed in 105 farms with >30 dairy cows each. Farms with FMP were associated (p ≤ 0.05) with larger herd size, better facilities, and specialized management, however, the adoption of preventive and biosecurity measures should be improved by these farmers. MMS farms implemented a lower level of disease prevention or control programs, less frequent transhumance, and showed a wider vocation to dual-purpose (milk and cross beef) than FMP farms. In conclusion, MMS and FMP farms tried to optimize yield and economic viability in different ways using grasslands. Several biosecurity and health prevention constraints were identified for improvement.

scholarly journals Assessment of Influential Factors for Scours Associated with Cryptosporidium sp., Rotavirus and Coronavirus in Calves from Argentinean Dairy Farms

Animals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 2652
Author(s):  
Emiliano Bertoni ◽  
Adrián A. Barragán ◽  
Marina Bok ◽  
Celina Vega ◽  
Marcela Martínez ◽  
...  
Keyword(s):  
Management Practices ◽  
Dairy Farms ◽  
Herd Size ◽  
Influential Factors ◽  
Dairy Calves ◽  
Farm Size ◽  
Common Disease ◽  
Contributing Factors ◽  
Fecal Samples ◽  
Logistic Regression Models

Scours is the most common disease in dairy calves, and it is a multifactorial syndrome complex. Cryptosporidium sp. (C. sp.), rotavirus group A (RVA), and bovine coronavirus (BCoV) are the three main pathogens associated with scours. The objective of this study was to identify potential factors associated with scours, C. sp., RVA, and BCoV infections in preweaned dairy calves from Lerma Valley in Salta Province, Argentina. A total of 488 preweaned calves from 19 dairy farms located in the Lerma Valley were enrolled in this observational study. One fecal sample was collected from each calf between one week and two months of age for assessment of C. sp., RVA, and BCoV infection status. Cryptosporidium sp. oocysts and RVA and BCoV antigens in fecal samples were assessed using microscopic observation and indirect enzyme-linked immune sorbent assay (iELISA), respectively. A voluntary questionnaire was developed and used to collect data regarding management practices from the participants’ farms. The data were analyzed using multivariable logistic regression models. Scours incidence was 35.4%, and a greater proportion of calves younger than 20 days were affected. Of the fecal samples, 18% and 9.5% tested were positives for C. sp. and RVA, respectively, while BCoV was detected only in two calves. Furthermore, 84.2% and 63.1% of the farms tested positive for Cryptosporidium sp. and RVA, respectively. In addition, the following variables were associated with higher odds of having scours: (1) herd size (>300 milking cows; OR = 1.7), (2) calf age (<20 days of age; OR = 2.2), (3) RVA and C. sp. test (positive test; RVA OR = 2.6; C. sp. OR = 3), calf feeding practices (feeding milk replacer; OR = 1.81), and newborn calf management practices (calf moved from maternity pen <6 h after calving; OR = 1.7). Concerning RVA infection, calves less than 20 days of age (OR = 2.6) had a higher chance of testing positive for RVA, while calves that remained in the calving pen for less than 6 h after calving had a lower chance (OR = 0.3). On the other hand, for C. sp. infection, large farm size (>300 milking cows; OR = 1.2) and young calf age (<20 days of age; OR = 4.4) indicated a higher chance of testing positive for C. sp., while calves belonging to farms that fed frozen colostrum (OR = 0.2) had a lower chance of becoming infected with C. sp. The result of this study indicated that scours is a prevalent disease in farms of the Lerma Valley, Salta, Argentina, and that RVA and C. sp. infections, along with specific farm management practices, might be important contributing factors that could increase the chance of NCS in dairy farms.

Systematic review and meta-regression analysis of technical efficiency in dairy farms

2016 ◽  
Vol 65 (3) ◽  
pp. 279-301 ◽  
Author(s):  
Taciana Mareth ◽  
Antonio Marcio Tavares Thomé ◽  
Fernando Luiz Cyrino Oliveira ◽  
Luiz Felipe Scavarda
Keyword(s):  
Systematic Review ◽  
Regression Analysis ◽  
Technical Efficiency ◽  
Geographical Location ◽  
Dairy Farms ◽  
Two Dimensions ◽  
Farm Size ◽  
Content Type ◽  
Meta Regression ◽  
Meta Regression Analysis

Purpose – The purpose of this paper is to complement and extend previous literature reviews on Technical Efficiency (TE) in dairy farms, analysing the effects of different methodologies and study-specific characteristics on Mean TE (MTE). Design/methodology/approach – The researchers independently conducted a systematic review of more than 400 abstracts and 85 full-text papers. Original keywords were applied to seven key electronic databases. Results from a meta-regression analysis of 85 published papers totalling 443 TE distributions in dairy farms worldwide are discussed. Findings – The variation in the MTE indexes reported in the literature can be explained by the methodology of estimations (method of estimation, functional form of frontier models, model dimensionality), the farms geographical location and farm size. Additionally, the results suggest that, given the state of technology prevailing in each country at the time that the studies on TE were conducted, dairy farmers in the sample could increase milk output by 20.9 per cent (level of inefficiency), on average, if they produce on their frontiers. Originality/value – This study makes two important contributions: first, it updates and compares previous works on frontier estimation of TE in dairy farms; and second, it adds two dimensions of dairy farms, size (herd and land area) and economic development, to the known differentials of TE measurement.

scholarly journals Comparison of Defined Course Doses (DCDvet) for Blanket and Selective Antimicrobial Dry Cow Therapy on Conventional and Organic Farms

Animals ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 707 ◽  
Author(s):  
Clair Firth ◽  
Annemarie Käsbohrer ◽  
Christa Egger-Danner ◽  
Klemens Fuchs ◽  
Beate Pinior ◽  
...  
Keyword(s):  
Animal Health ◽  
Dairy Farms ◽  
Point Of View ◽  
Antimicrobial Use ◽  
Organic Farms ◽  
Controversial Subject ◽  
Dry Cow Therapy ◽  
Significant Difference ◽  
History Of ◽  
The Difference

Antimicrobial use in livestock production is a controversial subject. While antimicrobials should be used as little as possible, it is still necessary, from both an animal health and welfare point of view, to treat infected animals. The study presented here aimed to analyse antimicrobial use on Austrian dairy farms by calculating the number of Defined Course Doses (DCDvet) administered per cow and year for dry cow therapy. Antimicrobial use was analysed by production system and whether farmers stated that they used blanket dry cow therapy (i.e., all cows in the herd were treated) or selective dry cow therapy (i.e., only cows with a positive bacteriological culture or current/recent history of udder disease were treated). A statistically significant difference (p < 0.001) was determined between antimicrobial use for blanket (median DCDvet/cow/year: 0.88) and selective dry cow therapy (median DCDvet/cow/year: 0.41). The difference between antimicrobial use on conventional and organic farms for dry cow therapy as a whole, however, was not statistically significant (p = 0.22) (median DCDvet/cow/year: 0.68 for conventional; 0.53 for organic farms). This analysis demonstrates that selective dry cow therapy leads to a lower overall use of antimicrobials and can assist in a more prudent use of antimicrobials on dairy farms.

352. Variations in the carotene and vitamin A contents of certain New Zealand butterfats

1947 ◽  
Vol 15 (1-2) ◽  
pp. 80-88 ◽  
Author(s):  
C. R. Barnicoat
Keyword(s):  
New Zealand ◽  
Vitamin A ◽  
Normal Values ◽  
Late Summer ◽  
Dairy Farms ◽  
Late Winter ◽  
Total Vitamin ◽  
The North ◽  
The Difference ◽  
Very High

1. Chemical estimations of carotene and vitamin A in New Zealand butters from two of the principal butter-making districts of the North Island during the seasons 1935–6 show that the total vitamin A potency was fairly high.2. There were seasonal variations apparently due to nutritional rather than physiological causes. The minimum values (33–37 i.u./g. butterfat) for total vitamin A were found in late summer (February) at the time when the pasture normally tends to dry up, while the peak values (42–53 i.u./g. butterfat) occurred in late winter and spring (July-October). The variations in vitamin A potency with season were in the opposite direction to the variations recorded in the literature for Europe and America. The difference is no doubt due to the practice of stall-feeding in these countries in contrast with the all-the-year-round grazing commonly practised on dairy farms in New Zealand. The spring flush of grass is also later in the season in Europe than in New Zealand.3. The more deeply-coloured Jersey butterfat was only slightly richer in total vitamin A potency than Friesian butterfat.4. Contents of carotene and vitamin A in the fat of colostrum were very high, but reached normal values within 4 or 5 days after parturition.

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