Ebooks

PRECISION LIVESTOCK FARMING

Neeraj Kashyap, Jaswinder Singh, Parvender Sheoran, Yashpal Singh Malik, Inderjeet Singh
EISBN: 9789358874211 | Binding: Ebook | Pages: 0 | Language: English
Imprint: NIPA | DOI: 10.59317/9789358874211

294.00 USD 264.60 USD


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The Precision Livestock Farming (PLF) concept and tools have started to globally permeate the livestock farming industry due to its immense impact and multifaceted benefits. However, many farmers are still hesitant to adopt PLF, owing to lack of information on its implementations and outcomes. It is meaningless if technology remains confined to paper and within the walls of institutions. The idea for the book Precision Livestock Farming was conceived during an interface between the extension specialists and the scientific and academic community on Precision Livestock Farming organized by the ICAR-ATARI, zone-I, Ludhiana with technical support from the Guru Angad Dev Veterinary and Animal Sciences University Ludhiana. The book intends to give a spark of inspiration to the young generation of farmers, extension experts, academicians, and scientists to venture towards innovation and adaptation of the PLF tools. The experts technical inputs from the interface are compiled into a book format for scientists, extension specialists, and farmers to use as a ready reference. Surely, this book will give the reader a new insight into the different livestock aspects.

0 Start Pages

Majority of the farming community are not aware of new developments that could help them with enhancing farm productivity, meeting their requirements, or solving problems. "Lab to Land" has become the motto for progression in agriculture and related sectors. Disseminating the most recent research to end users involves the extension wing, a two-way bridge that connects researchers and farmers. It can do these organizing trainings, facilitating interactions between farmers and scientists, holding seminars and workshops, setting up field trips and camps, and utilising digital and social media platforms. If technology is confined to paper and within the walls of institutions, it is meaningless. Its full potential won't be achieved unless farmers—the end users,try it out in the field and provide input for further development. Not every farmer in the region can be reached by the institute. For those farmers, district-level Krishi Vigyan Kendras, also known as farmers advising centres, are in operation. To meet the requirements of farmers in many sectors, these Kendras have a variety of subject matter experts, including specialists in animal science. These experts frequently collaborate with farmers at the local level and have the ability to ignite fresh ideas within the farming community. In order to hone the skills and knowledge about the most recent advancements in the livestock sector. An interface between these extension workers and the scientific and academic community on "Precision Livestock Farming" was organised by the ATARI, zone I, Ludhiana on September 1-2, 2023, with technical support from the Guru Angad Dev Veterinary and Animal Sciences University Ludhiana.

 
1 Precision Livestock Farming- The Concepts and Updates
Neeraj Kashyap, Jaswinder Singh, Yashpal Singh Malik, Inderjeet Singh

Rearing animals has been amongst the most ancient professions of humanity and since the advent of domestication, the livestock keepers have been involved with them to a certain extent on financial, social and emotional fronts and thus have been curious about certain key aspects of the livestock under their care. The curiosity can be defined with the ‘five W and one H’ of questions as What needs to be done (requirements)? When to do that (timing)? Where are they (location)? Why is there a need (rationale)? How will that meet my purpose (state)? The farming community has traditionally been using these attributes for making farm decisions by observing the animals constantly, or periodically at key occasions such as milking. Such monitoring, aided by the wisdom of experience of the generations of farmers, led to the identification of the key events or problems in the health and productivity of individual animals. However, such kind of monitoring requires a deeper engagement in livestock keeping than that is desirable in commercial farming and the decisions/ detections are severely limited by the capability of the observer. Precision Livestock Farming (PLF) is a term that encompasses the deployment of sensors for the capture of key biological information, the use of algorithms for processing the biological information (data science), systems for making inferences and making decisions based on the processed data (artificial intelligence), interfaces that allow for making use of these data (reporting) and implements for automation (robotics). PLF is intended to optimize the process of animal production, health care and welfare by generating vast real time information to be used in various ways. There have been many systems being tried and found fit for practical applicability; whereas, few systems like geolocation and motion detection are extensively applied.

1 - 24 (24 Pages)
USD34.99
 
2 Precision and Climate Change Livestock Production
R S Grewal, Inderpreet Kaur

As per 20th Livestock Census (2019), Punjab has 1.3% share of India’s total livestock. The share of buffaloes was largest (57.4%) in total livestock population, followed by cross-breed cattle and indigenous cattle. The state of Punjab has about 70.60 lakh livestock in total, comprising of 25.41 lakh cattle, 40.16 lakh buffaloes, 3.48 lakh goats, 0.85 lakh sheep, 0.53 lakh pigs, 0.15 lakh horses and ponies, 1644 mules, 471 donkeys and 170 camels. The share of crossbred cattle increased to 29.3% in 2019 compared to 25.4% in 2012 which signifies that the farmers in the state are resorting to high yielding animals for increasing the milk production. These efforts have led to the highest per capita availability of milk in Punjab which stands at 1271 grams per day compared to national average of 444 grams per day (2021-22), although the share of Punjab in country’s milk production is 6.37%. Punjab is sixth largest producer of milk in India, with production of 14.76 million tonnes (t)/year. Climate change has emerged as one of the most pressing global challenges of our time, with far-reaching consequences for ecosystems, economies, and societies. This has led to the higher temperatures, changing precipitation patterns, sea level rise and growing frequency and intensity of extreme weather events such as drought, floods, extreme heat and cyclones resulting in disruption of food supply chains. The most critical domains that impact environmental sustainability includes energy, transport, food, waste and water , although there are disparities in the consumption patten of high-income and low income countries. Apart from the food domain (33% of total GHG emissions), meat from ruminants and dairy products constitute the major proportion of carbon footprint. Although only 18% of calories are obtained from meat and dairy products, but they together account for 60% of agriculture’s greenhouse gas emissions and occupy 83% of the world’s arable land. With 18% of anthropogenic greenhouse gas (GHG) emissions, the livestock sector has been identified as one of the primary causes of climate change and the dairysector accounts for around 3.0- 5.1% of the total GHG emissions globally.

25 - 34 (10 Pages)
USD34.99
 
3 Use of Crop Residues as Alternative Feed Ingredients in Animal Feeding
Shasta Kalra, Jaspal Singh Hundal, Jaswinder Singh

India has a primarily agrarian economy. A significant portion of the country’s land is utilized for agriculture, and many of its agro-ecological regions cultivate a broad spectrum of crops. With a production of 93.9 million tons (Mt) of wheat, 104.6 Mt of rice, 21.6 Mt of maize, 20.7 Mt of millets, 357.7 Mt of sugarcane, 8.1 Mt of fibre crops, 17.2 Mt of pulses and 30.0 Mt of oilseeds crops, in the year 2011-12, it is usual that a massive amount of crop residues are produced both on-farm and off-farm. The country produces approximately 500-550 Mt of crop residues per year in the country. Therefore, landholders are facing difficulties in managing crop residues in the country. The human population has grown four times in the last century. With a projected 9.7 billion people in the world by 2050, worldwide food consumption and the demand for meat and milk are likely to increase by as much as 73% and 58%, respectively. Improved agricultural and industrial practices have contributed to the population boom, which continues to put pressure on food supply to feed a growing population. Huge quantities of food resources will be needed, but again, the crop residues produced at these levels of global production pose major challenges. Availability of Crop Residues India produces more than 500 million tons (Mt) of agricultural residue on an annual basis. The quantity of residue produced has grown significantly due to the cultivation of wheat and rice. Crop residue output varies greatly, and the use of these residue is influenced by the crops cultivated, the intensity of cropping, and the productivity across different Indian regions. About 70% of the total crop residues (352 Mt) are contributed by cereal crops (rice, wheat, maize, millets), with rice contributing 34% and wheat 22%. The excess agricultural residues—that is, the residues left over after subtracting the amount used for other purposes—are often burned on the farm. The amount of surplus crop residues available in India is estimated between 84 and 141 Mt per year where cereals crops contribute 58. As an estimate, about 70 MTs of surplus crop residue are burned annually.

35 - 50 (16 Pages)
USD34.99
 
4 Artificial Intelligence in Modern Dairy Farming
Suresh Kumar

Currently, the milk production of country is 221.06 million tonnes (2021 22) and the target is 300 million tonnes by 2023-24. The livestock sector contributed nearly 5.21% of total gross value added (GVA) and 28.36% of the agriculture and allied sectors GVA. Thus, there is a huge gap between demand and supply, therefore with the requirements of better yield from the dairy animals, we need more better and advanced options. Artificial intelligence (AI) is one of such options which can be exploited in dairy industry. Artificial Intelligence can be a game-changer for the dairy farming in India and it can emerge as a tool that empowers farmers in monitoring, forecasting as well as optimizing the farm animal growth. It can predominantly change the scenario of dairy farmers by maintaining the health, physiological and physical conditions of dairy-cows. This knowledge-based technology has a huge potential and could confront the loopholes in dairy farming and thus indirectly can strengthen the dairy industry. In dairy farming AI has multiple applications like monitoring the activities of the dairy-cows, boosting the milk production and farm productivity, detection of mastitis in dairy-cows and developing the smart cow houses powered by image analysis. AI enables the dairy farmers to determine whether the cow is ill, ready to breed or has become less productive. The AI also sends alerts to the farmer about the change in the cow’s behavior allowing human intervention where needed. Regular 24x7 monitoring of dairy animals is the key for successful dairy farming, however, traditional methods of monitoring relied on visual observation, but it was not very efficient due to the lack of time and human resources. Without AI, it would be almost impossible for the farmer to keep a watchful eye on every cow in the herd. Artificial Intelligence components of the dairy automation system process the collected data to provide insights on the heat stress, change in feeding efficiency and the estrus of the cow. Diseases like sub-clinical mastitis, one of the more common diseases in the dairy industry, cost the Indian dairy industry one billion dollars annually. Eventually, it provides new hope and open prospects for the overall quality and progress in the dairy industry through a profitable business approach in dairy farming

51 - 64 (14 Pages)
USD34.99
 
5 Advancements in Pregnancy Detection in Farm Animals
Ashok K. Balhara, Suman Sangwan, Sajjan Singh

Field-ready pregnancy diagnostic tests are an important tool for improving reproductive performance in livestock. They help optimize breeding programs, resource allocation, and decision-making processes, leading to better economic outcomes and sustainable livestock production systems. Pregnancy diagnosis is an important tool for improving reproductive performance in livestock for several reasons: 1) Timely management: early and accurate pregnancy diagnosis allows farmers and livestock producers to make timely decisions about the management of pregnant and non-pregnant animals. This includes adjusting feeding regimes, providing appropriate veterinary care, and establishing breeding plans. 2) Optimized breeding programs: In livestock, controlling the timing of pregnancies is critical to maintaining a well-organized breeding program. With accurate pregnancy testing, farmers can identify non-pregnant animals and breed them back earlier, optimizing resource utilization and shortening the generation interval. 3) Resource allocation: early identification of non-pregnant animals helps avoid unnecessary allocation of resources such as feed and health care to animals that will not produce offspring in the current cycle. This efficient allocation of resources is essential to maintaining a cost effective production system. 4) Lower costs: unproductive animals consume resources without contributing to farm productivity. By quickly identifying non-pregnant animals, farmers can avoid the cost of keeping these animals during their non-productive period. 5) Genetic improvement: for livestock programs focused on genetic improvement, accurate pregnancy diagnosis is critical. It enables the selection and promotion of animals with desirable traits for breeding purposes, thus accelerating genetic progress.

65 - 80 (16 Pages)
USD34.99
 
6 Reproductive Management for Augmenting Fertility at Dairy Farms
Navdeep Singh

Reproductive problems in bovine dairy farms can significantly impact the productivity and sustainability of the cattle and buffalo industry. Challenges such as diminished conception rates, delayed age at first calving, prolonged calving intervals, and higher embryonic losses have comprehensive implications, resulting in economic setbacks and impeding genetic advancements. These intricate problems are attributed to a combination of factors encompassing deficient reproductive management strategies, inadequate nutritional provisions, suboptimal breeding methodologies, the prevalence of infectious diseases, and the impact of environmental stressors. Inadequate management of the estrus cycle and mistimed insemination practices underscore the significance of effective reproductive management. Poor nutritional support can detrimentally affect the onset of puberty, compromise the quality of oocytes and embryos, and usher in an overall decline in reproductive performance. The presence of infectious diseases not only intensifies difficulties in achieving successful conception but also amplifies the rates of embryonic as well as pregnancy loss. Additionally, environmental stressors, particularly heat stress, can disrupt estrus patterns, impede oocyte development, and hinder embryo growth. Consequently, addressing these complex reproductive issues necessitates a comprehensive and multifaceted approach. This approach entails the implementation of sound reproductive management protocols to ensure precise monitoring of estrus cycles and timely insemination practices through proper record-keeping. Furthermore, optimizing nutritional provisions tailored to distinct reproductive stages enhances ovarian function, augments oocyte quality, and promotes healthy embryo development. Rigorous biosecurity measures, including strict quarantine practices and adherence to vaccination regimens, play a pivotal role in disease prevention and control within the farm environment. Moreover, the integration of advanced reproductive technologies, such as ultrasonography and embryo transfer, offers avenues for early pregnancy detection and facilitates selective breeding to enhance genetic progress. By amalgamating these strategies, a concerted effort can be made to enhance reproductive efficiency, safeguard herd health, and ultimately support the overall productivity and sustainability of the cattle and buffalo industries.

81 - 94 (14 Pages)
USD34.99
 
7 Recent Approaches in Diagnosis and Treatment of Bovine Mastitis
Dhiraj Kumar Gupta

Mastitis is a consequence of interplay between the infectious agents and managerial practices. The mammary glands of cows are frequently exposed to potential pathogens, but on most of the occasion, cows get mastitis because their immune systems are not adequate to prevent infection. Mastitis is an inflammation of the mammary gland in response to injury for the purpose of destroying or neutralizing the infectious agents and to prepare the way for healing and return to normal function. The average incidence of subclinical mastitis has been found to be 49% in cows and 28% in buffaloes. Similarly, clinical mastitis is prevalent in 7% of cows and 4% buffaloes. Besides this, 17% of the cows and 8% of buffaloes have been suffering from various udder and teat lesions such as udder/teat warts, bovine ulcerative mammilitis, udder impetigo and teat chaps etc. These lesions pre-dispose the animal to mastitis and cause a great discomfort at milking and hence markedly decrease the milk yield. The economic losses due to mastitis worldwide have been estimated at $35 billion. Current annual economic losses due to mastitis in India have been estimated to be Rs. 7165.51 crore that include Rs. 4151.16 crore and Rs. 3014.35 crore due to subclinical and clinical mastitis, respectively. Mastitis causes a reduced milk production, not only at its occurrence but throughout the rest of the lactation, increases the risk of new cases of mastitis and increases the risk of culling. Besides, mastitis impairs the quality of milk and milk products. Approximately 70-80% of losses are due to subclinical mastitis. Subclinical mastitis is also important due to the fact that it is 15-40 times more prevalent than the clinical form. It usually precedes the clinical form, is of longer duration, difficult to detect and constitutes a reservoir of micro organisms that lead to infection of other animals within the herd.Besides this, presence of mastitis causative organisms and antibiotic residues in milk following therapy of mastitis poses a major threat to the consumer health. Mastitis results in increase in the somatic cell count (SCC) and bacterial load of milk. The European Union has set up a threshold of 400,0000 cells/ml of milk from healthy quarter of a cow. The high SCC in mastitis milk has lipolytic effect on fat and there is increased tendency for rancidity of milk and milk products. Also, the mastitis milk with total bacterial count of more than 100,000 cfu/ml could release hydrolytic enzymes, which spoil the milk and milk products. It has been also observed that mastitis milk inhibits the growth of starter bacteria and results in decreased cheese production.

95 - 108 (14 Pages)
USD34.99
 
8 Animal Diseases on Farms: Management Practices
Vishal Mahajan

Animal diseases on livestock farms can have significant impacts on animal health, farm productivity, and economic sustainability. Effective disease management and prevention strategies are crucial to minimize the risk of disease outbreaks and their consequences. Managing animal diseases requires a proactive and collaborative approach involving farm personnel, veterinarians, and animal health authorities. By implementing a combination of prevention, early detection, diagnosis, monitoring, rapid response and control measures, farms can effectively manage and mitigate the impact of diseases on animal health and farm operations. Outlined below are several prevalent animal diseases that can affect farms, along with prevention and management strategies. Haemorrhagic Septicemia (HS) It is an acute infectious disease of cattle and buffaloes characterized by sudden onset, high fever, edematous swelling of subcutaneous tissues particularly under the neck, pneumonia and fatal septicemia. HS is highly infectious OIE enlisted disease caused by two specific serotypes of Pasteurella multocida, the Asian serotype B:2 and the African serotype E:2. It causes huge economic losses to dairy farmers of Asia and Africa due to high morbidity and case fatality. The outbreaks of HS are quite common in North region of the country

109 - 124 (16 Pages)
USD34.99
 
9 Role of Farm Biosecurity in Curbing Antimicrobial Usage and Resistance in Animal Husbandry
Pankaj Dhaka, Jasbir Singh Bedi

Intensive farming operations are particularly vulnerable to an increased risk of biohazards due to their densely populated livestock and close confinement. This increased animal density creates an environment where diseases can spread rapidly if not adequately managed. To mitigate these risks and safeguard the health and productivity of dairy herds, stringent farm biosecurity measures are essential. Farm biosecurity, a comprehensive framework of preventive measures and protocols, has emerged as a pivotal strategy in ensuring animal health and curbing the rise of antimicrobial resistance (AMR). By prioritizing biosecurity, dairy farmers can maintain a healthy and disease-free environment for their animals, ultimately ensuring the quality and safety of dairy products while promoting sustainable and responsible farming practices. In recent years, the interconnected challenges of animal health and AMR have prompted a re-evaluation of agricultural practices and disease management strategies. What is Farm Biosecurity? Farm biosecurity refers to the set of practices and measures employed to prevent the introduction and spread of infectious diseases within animal production systems. It encompasses a wide array of strategies, ranging from physical barriers and hygiene protocols to monitoring and surveillance programs. The core principle of farm biosecurity is to mitigate the risk of disease incursions by minimizing the exposure of animals to pathogens, thereby preventing outbreaks and reducing the need for antimicrobial interventions. This strategic approach can be broadly categorized into ‘external farm biosecurity’ and ‘internal farm biosecurity’, each addressing distinct aspects of disease prevention within the farm environment.

125 - 134 (10 Pages)
USD34.99
 
10 Breed Improvement for Enhancing Productivity of Dairy Animals in District Muzaffarnagar (UP): An Attempt

ICAR-NDRI, Karnal is running a Kisan Seva Kendra at village Lalukheri of district Muzaffarnagar (UP) to cater the requirement of the farmers for frozen semen doses, crops seed and mineral mixture of villages around the center. This centre was established in year 2005; it started fully functioning in 2015. This centre is providing service to the farmers in ~25 villages around the centre. It provides frozen semen doses of high genetic merit bulls with the aim for making improvement in genetic potential for higher milk production of dairy animals of farmers in villages around the centre. The centre is also making available mineral mixture for improving fertility of dairy animals and also making available fodder crop seed to the farmers for growing quality fodder for their dairy animals. Kisan gosthis and farmers awareness camps are also being organized to increase farmers’ awareness regarding benefits of rearing high producing dairy animals and feeding them balance ration for improving their production and reproduction performance. Since 2015, center has organised ~35 meetings for farmers awareness for adopting scientific techniques/practicesfor dairy husbandry and animal health checkup camps in ~25 villages for improving production and fertility of dairy animals. The maximum numbers of progenies so far, through the use of frozen semen doses from the centre, have been produced of dairy cows and buffaloes in the village- Bhorakhurd (300), Sonjanikheri (440), Alipur (300), Sotta (250) and Sallakheri (250), total 1540 calves.

135 - 138 (4 Pages)
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11 End Pages

A Algorithms 2–4, 7, 9, 20, 23, 53, 57, 63 Animal welfare 3, 9-11, 17, 18, 20, 23, 127, 129 Antimicrobial resistance 125, 128 Artificial insemination 72, 76, 81, 85, 89, 90,91, 135-137 Artificial intelligence 1, 2, 7, 9, 20, 51, 52, 59, 60, 63

 
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