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\"Describes dairy, an essential part of a healthy diet, including where different varieties are grown, why they are healthy for us, and how other parts of the world consume dairy foods\"-- Provided by publisher.
Book
History of a dairy camel (NAQA) and machine milking in Saudi Arabia; challenges and prospective
Over the past two decades, there has been a noteworthy surge in the attention and interest surrounding camel rearing and camel milk production in Saudi Arabia. This focus has emanated from diverse stakeholders including the general public, camel breeders, and researchers. While limited quantities of camel pasteurized milk currently available in selected showrooms, the sale of raw milk near camel enclosures remains prevalent. Recent developments include the inauguration of a modernized, opulent showroom in Riyadh exclusively dedicated to showcasing camel milk and its derivatives. The commencement of machine camel milking trials in Saudi Arabia traces back to 2003 when a portable single-bucket cow milking machine was initially tested at the Al-Jouf Range and Camel Research Center in Sakaka city. Subsequently, a company in the northern region of Saudi Arabia emerged the nation’s first semi-automatic camel milking line in 2008, which continues to operate to this day. However, these endeavors, while pioneering, lag behind contemporary milking technologies prevalent in dairy farms focused on cows. Despite these strides, there exists a notable dearth of comprehensive data encompassing critical aspects of dairy camel farming. Absence of information on dairy camel and total seasonal milk yields, scientific data on machine milkability, and established production standards and characteristics for female camel milk hinders the sector’s progress. This review endeavors to elucidate the obstacles and challenges hindering the widespread adoption of camel machine milking and the implementation of good camel management practices. It also outlines prospective measures aimed at overcoming these challenges for a more robust future for camel as a productive livestock in Saudi Arabia. With global climate changes, crises of protein and water shortages worldwide, and the remarkable production potentials of camels, this exploration aims to contribute to the sustainable development of camel farming in the context of evolving global challenges and opportunities.
Journal Article
Heat stress in dairy animals and current milk production trends, economics, and future perspectives: the global scenario
Animal’s well-being, growth, and production are modulated by environmental conditions, and managemental practices and can be deleteriously affected by global warming phenomenon. In the recent years, unprecedented climatic fluctuations like sustained higher temperatures and humidity, heat waves, and solar flares have led to economic losses in$ billions to both milk and meat industry. It is estimated that by 2050, the US dairy industry alone will borne more than $ 1.7 billion loss. As human dependency on animal products like milk, meat, and eggs for nutrition is exponentially rising, there is urgency for maximum production. The high yielding animals are already under tremendous metabolic pressure making them more susceptible to adverse climatic conditions. When exposed to heat stress, livestock display a variety of behavioral and physiological acclimatization as essential survival strategies, but at the cost of decreased milk, meat, or egg production. Most of the studies have explored the heat stress in animals and its effect on different milk productions in a specific region or country. A clear understanding of the impact of global warming on dairy enterprise is yet to be comprehended. So this exploratory study will analyze impact of global warming on current milk production trends, economics, and future perspectives.
Journal Article
environmental impact of dairy production: 1944 compared with 2007
A common perception is that pasture-based, low-input dairy systems characteristic of the 1940s were more conducive to environmental stewardship than modern milk production systems. The objective of this study was to compare the environmental impact of modern (2007) US dairy production with historical production practices as exemplified by the US dairy system in 1944. A deterministic model based on the metabolism and nutrient requirements of the dairy herd was used to estimate resource inputs and waste outputs per billion kg of milk. Both the modern and historical production systems were modeled using characteristic management practices, herd population dynamics, and production data from US dairy farms. Modern dairy practices require considerably fewer resources than dairying in 1944 with 21% of animals, 23% of feedstuffs, 35% of the water, and only 10% of the land required to produce the same 1 billion kg of milk. Waste outputs were similarly reduced, with modern dairy systems producing 24% of the manure, 43% of CH₄, and 56% of N₂O per billion kg of milk compared with equivalent milk from historical dairying. The carbon footprint per billion kilograms of milk produced in 2007 was 37% of equivalent milk production in 1944. To fulfill the increasing requirements of the US population for dairy products, it is essential to adopt management practices and technologies that improve productive efficiency, allowing milk production to be increased while reducing resource use and mitigating environmental impact.
Journal Article
Regional asynchronicity in dairy production and processing in early farming communities of the northern Mediterranean
In the absence of any direct evidence, the relative importance of meat and dairy productions to Neolithic prehistoric Mediterranean communities has been extensively debated. Here, we combine lipid residue analysis of ceramic vessels with osteo-archaeological age-at-death analysis from 82 northern Mediterranean and Near Eastern sites dating from the seventh to fifth millennia BC to address this question. The findings show variable intensities in dairy and nondairy activities in the Mediterranean region with the slaughter profiles of domesticated ruminants mirroring the results of the organic residue analyses. The finding of milk residues in very early Neolithic pottery (seventh millennium BC) from both the east and west of the region contrasts with much lower intensities in sites of northern Greece, where pig bones are present in higher frequencies compared with other locations. In this region, the slaughter profiles of all domesticated ruminants suggest meat production predominated. Overall, it appears that milk or the by-products of milk was an important foodstuff, which may have contributed significantly to the spread of these cultural groups by providing a nourishing and sustainable product for early farming communities.
Journal Article
Impact of automatic milking systems on dairy cattle producers’ reports of milking labour management, milk production and milk quality
Automatic milking systems (AMS), or milking robots, are becoming widely accepted as a milking technology that reduces labour and increases milk yield. However, reported amount of labour saved, changes in milk yield, and milk quality when transitioning to AMS vary widely. The purpose of this study was to document the impact of adopting AMS on farms with regards to reported changes in milking labour management, milk production, milk quality, and participation in dairy herd improvement (DHI) programmes. A survey was conducted across Canada over the phone, online, and in-person. In total, 530 AMS farms were contacted between May 2014 and the end of June 2015. A total of 217 AMS producers participated in the General Survey (Part 1), resulting in a 41% response rate, and 69 of the respondents completed the more detailed follow-up questions (Part 2). On average, after adopting AMS, the number of employees (full- and part-time non-family labour combined) decreased from 2.5 to 2.0, whereas time devoted to milking-related activities decreased by 62% (from 5.2 to 2.0 h/day). Median milking frequency was 3.0 milkings/day and robots were occupied on average 77% of the day. Producers went to fetch cows a median of 2 times/day, with a median of 3 fetch cows or 4% of the herd per robot/day. Farms had a median of 2.5 failed or incomplete milkings/robot per day. Producers reported an increase in milk yield, but little effect on milk quality. Mean milk yield on AMS farms was 32.6 kg/cow day. Median bulk tank somatic cell count was 180 000 cells/ml. Median milk fat on AMS farms was 4.0% and median milk protein was 3.3%. At the time of the survey, 67% of producers were current participants of a DHI programme. Half of the producers who were not DHI participants had stopped participation after adopting AMS. Overall, this study characterized impacts of adopting AMS and may be a useful guide for making this transition.
Journal Article
Technical note: Validation of a system for monitoring rumination in dairy cows
Increased rumination in dairy cattle has been associated with increased saliva production and improved rumen health. Most estimates of rumination are based on direct visual observations. Recently, an electronic system was developed that allows for automated monitoring of rumination in cattle. The objective was to validate the data generated by this electronic (Hi-Tag, SCR Engineers Ltd., Netanya, Israel) rumination monitoring system. Assessments of 2 independent observers were highly correlated (r=0.99, n=23), indicating that direct human observations were suitable as the reference method. Measures from the Hi-Tag electronic system were validated by comparing values with those from a human observer for fifty-one 2-h observation periods from 27 Holstein cows. Rumination times (35.1±3.2min) from the electronic system were highly correlated with those from direct observation (r=0.93, R2=0.87, n=51), indicating that the electronic system was an accurate tool for monitoring this behavior in dairy cows.
Journal Article
New Zealand Dairy Farming: Milking Our Environment for All Its Worth
Over the past two decades there have been major increases in dairy production in New Zealand. This increase in intensity has required increased use of external inputs, in particular fertilizer, feed, and water. Intensified dairy farming thus incurs considerable environmental externalities: impacts that are not paid for directly by the dairy farmer. These externalities are left for the wider New Zealand populace to deal with, both economically and environmentally. This is counter-intuitive given the dairy industry itself relies on a ‘clean green’ image to maximize returns. This is the first nationwide assessment of some of the environmental costs of the recent increase of dairy intensification in New Zealand. Significant costs arise from nitrate contamination of drinking water, nutrient pollution to lakes, soil compaction, and greenhouse gas emissions. At the higher end, the estimated cost of some environmental externalities surpasses the 2012 dairy export revenue of NZ$11.6 billion and almost reaches the combined export revenue and dairy’s contribution to Gross Domestic Product in 2010 of NZ$5 billion. For the dairy industry to accurately report on its profitability and maintain its sustainable marketing label, these external costs should be reported. This assessment is in fact extremely conservative as many impacts have not been valued, thus, the total negative external impact of intensified dairying is probably grossly underestimated.
Journal Article
Findings from transcriptomics and immunohistochemistry indicate an autoimmune disease targeting brainstem inhibitory interneurons in bovine spastic paresis
Bovine spastic paresis (BSP) is a progressive neuromuscular disease of unknown origin that causes persistent stiffness of the hind limbs. The symptoms are similar to those of human motor neuron diseases such as primary (PLS) or amyotrophic lateral sclerosis (ALS). BSP occurs worldwide in cattle production with an estimated prevalence of <1%. For Germany, this means that around 20,000 Holstein cattle are affected. BSP is generally considered a hereditary disease, but there is no prevention through breeding programs. As a result, BSP not only affects animal welfare but also leads to economic losses in milk and beef production. Here, we used transcriptomics to analyse the brainstem, spinal cord and affected gastrocnemius muscle tissue of eight animals affected by BSP and eight control animals from slaughterhouses to gain new insights into the molecular mechanisms underlying BSP. We found that the expression of several genes was significantly different in animals affected by BSP compared to control animals. Specific genes for inhibitory neurons were downregulated in the brainstems of the affected animals, namely CCK (cholecystokinin), NPY (neuropeptide Y), and SST (somatostatin). These inhibitory neurotransmitters influence cerebral movement control, among other processes. Furthermore, OOSP2 (oocyte secreted protein 2) was found to be significantly upregulated in the affected animals in all tissues. This expression could best be explained by the presence of T-follicular-helper cells which, through interleukin 21, can trigger a TH-2-dominated immune response and lead to autoimmune encephalitis. Further cases were sampled for confirmation and we detected cell infiltrates of activated microglia and T-cells in the brainstem using immunohistochemistry. Microglial foci were significantly more abundant in animals affected by BSP than control animals. We conclude that BSP is caused by an autoimmune reaction directed against inhibitory interneurons in the brainstem and is due to a combination of genetics and environmental influences. This may result in lost controlling influence on the upper motor neurons via extrapyramidal pathways and therefore triggers the specific symptoms of motor neuron disease.
Journal Article
Estimation of spatial and temporal variability of pasture growth and digestibility in grazing rotations coupling unmanned aerial vehicle (UAV) with crop simulation models
Systematic monitoring of pasture quantity and quality is important to match the herd forage demand (pasture removal by grazing or harvest) to the supply of forage with adequate nutritive value. The aim of this research was to monitor, assess and manage changes in pasture growth, morphology and digestibility by integrating information from an Unmanned Aerial Vehicle (UAV) and two process-based models. The first model, Systems Approach to Land Use Sustainability (SALUS), is a process-based crop growth model used to predict pasture regrowth based on soil, climate, and management data. The second model, Morphogenetic and Digestibility of Pasture (MDP), uses paddock-scale values of herbage mass as input to predict leaf morphogenesis and forage nutritive value. Two field experiments were carried out on tall fescue- and ryegrass-based pastures under rotational grazing with lactating dairy cattle. The first experiment was conducted at plot scale and was used to calibrate the UAV and to test models. The second experiment was conducted at field scale and was used to test the UAV's ability to predict pasture biomass under grazing rotation. The Normalized Difference Vegetation Index (NDVI) calculated from the UAV's multispectral reflectance (n = 72) was strongly correlated (p < 0.001) to plot measurements of pasture biomass (R2 = 0.80) within the range of ~226 and 4208 kg DM ha-1. Moreover, there was no difference (root mean square error, RMSE < 500 kg DM ha-1) between biomass estimations by the UAV (1971±350 kg ha-1) and two conventional methods used as control, the C-Dax proximal sensor (2073±636 kg ha-1) and ruler (2017±530 kg ha-1). The UAV approach was capable of mapping at high resolution (6 cm) the spatial variability of pasture (16 ha). The integrated UAV-modeling approach properly predicted spatial and temporal changes in pasture biomass (RMSE = 509 kg DM ha-1, CCC = 0.94), leaf length (RMSE = 6.2 cm, CCC = 0.62), leaf stage (RMSE = 0.7 leaves, CCC = 0.65), neutral detergent fiber (RMSE = 3%, CCC = 0.71), digestibility of neutral detergent fiber (RMSE = 8%, CCC = 0.92) and digestibility of dry matter (RMSE = 5%, CCC = 0.93) with reasonable precision and accuracy. These findings therefore suggest potential for the present UAV-modeling approach for use as decision support tool to allocate animals based on spatially and temporally explicit predictions of pasture biomass and nutritive value.
Journal Article