Egg Prices Research Articles

Effects of <i>Desmodium uncinatum</i> Leaf Meal in the Diet on Lohmann Brown Hens’ Laying Performance and Eggs Quality

A cheap, safe and available alternative protein source to soybean is a huge priority for the developing world. This study is aimed at evaluating the effects of Desmodium uncinatum leaf meal incorporation levels in the diet on Lohmann Brown hens’ laying performances. For this purpose, 60 Lohmann Brown hens aged 33 weeks with an average weight of 1.78 kg were randomly assigned to 3 treatment groups of 20 birds each with 4 replicates. The experimental treatments consisted of DULM 0, DULM5, and DULM10 containing 0, 5 and 10 kg of D. uncinatum leaf meal (DULM) per 100 kg of feed respectively. The results reveal that except for the weights of hens, laying performances were significantly affected (p production were recorded with diet DULM5. On the other hand, the diet with 10% of DULM (DULM10) recorded the highest relative shell weight, feed conversion ratio and egg price. Nevertheless, the mortality rate found in this study was 0% for all treatments confirming the good quality of DULM as protein feedstuff for layer. It was concluded that incorporation levels of D. uncinatum leaves at 5% in the diet improved the laying performances of Lohmann Brown hens.

Analysis system dynamic of chicken egg production system: Case in West Sumatra Indonesia

A policy study is needed to guide the planning process to develop a sustainable agropolitan area for laying hens in Limapuluh Kota Regency. This research aims to design a policy for developing sustainable laying hen businesses through modeling the chicken egg production system. The dynamic systems approach was used to determine the production system for chicken egg production, which consists of two sub-systems: the layer chicken population sub-system and the business profit sub-system. Each sub-system interacts dynamically based on time. The research results reveal that the chicken egg production model in Limapuluh Kota Regency is accurate and can be used for decision-making activities. The model and its development can help determine the direction of chicken egg production policy to be developed into a sustainable agropolitan area. In the future, overall chicken egg production in Limapuluh Kota Regency is likely to increase, leading to an increase in profits for the egg-laying chicken farming business. However, an increase in feed prices without a corresponding increase in egg prices may hamper the rate of increase in egg.

Quality evaluation of table eggs under different rearing systems in China

Because of the impact of the COVID-19 pandemic, more and more people are choosing to buy food online, including eggs. Although this mode of shopping is very modern, many Chinese consumers lack scientific knowledge when selecting eggs. In this study, we used the multivariate statistical analysis and sensory analysis to evaluate and compare the qualities of online sale of free-range and cage eggs. How feeding conditions influence the quality of eggs and how physical characteristics influence the price of eggs were also studied in this work. Our research showed that there is a lack of scientific support for distinguish free-range eggs from cage eggs on the appearance, the color of the yolk does not represent the amount of protein in yolk which may actually be affected by fodders. Moreover, the nutritional quality of free-range eggs is no better than that of cage eggs. Sensory analysis showed that free-range eggs taste better, which is likely because of the higher yolk ratio. Multivariate linear regression analysis showed that Rearing systems, fodder type and yolk color have significant impact on the price (Price = 0.428 × Rearing system −0.235 × Fodder type + 0.191 × Yolk color).

Economics of production of laying Japanese quails fed with different energy sources in semi-arid environment of Gashua, Yobe State, Nigeria

An experiment was conducted to assess the economics of production of laying Japanese quails fed millet and sorghum as alternatives to maize. Three hundred (300) day old quails were sourced form National Veterinary Institute Jos. The birds were brooded for two weeks and randomly allotted to three (3) different energy sources i.e. maize, millet and sorghum designated as treatment 1, 2 and 3 respectively. The birds were fed with experimental diets for six months. The economics of production were determined based on the prevailing market price as of the time of experiment. Results showed that hen day egg production (80.21-84.51%), feed cost (N169.67-174.00), total number of eggs produced (2246-2366), total price of eggs (N 67,380.00-70.980.00), revenue (N 92,780.42-95,621.51) and gross margin (N 57,105.40-61,900.09) were not affected by the different energy sources. It can be concluded that millet and sorghum can be alternative to maize without depressed in egg production, reduction in cost of production and higher gross margin.

Determination of egg consumption consciousness of consumers in Bursa province

Amaç: Bu çalışmada, Bursa ilindeki tüketicilerin yumurta tüketim bilinç düzeylerinin belirlenmesi amaçlanmıştır. 
 Materyal ve yöntem: Bu amaçla, 2019 yılında Bursa ilinde ikamet eden vatandaşlardan basit tesadüfi örnekleme yoluyla belirlenen 460 kişi ile yüz yüze yapılan anketlerden elde edilen veriler kullanılmıştır. 
 Araştırma bulguları: Çalışmada ailelerin %37.6’sı 4 kişiden ve %31.1’i 3 kişiden oluşmuştur. Tüketicilerin %5.2’sinin ilkokul, %6.7’sinin ortaokul, %22.8’inin lise ve %65.2’sinin üniversite mezunu olduğu belirlenmiştir. Tüketicilerin %90.2’si yumurtanın etiketinde bulunan harflerin ne anlama geldiğini bildiğini belirtmiştir. Tüketicilerin %88.3’ünün yumurta üretim sistemleri hakkında bilgi sahibi oldukları belirlenmiştir. Aynı zamanda tüketicilerin %59.3’ü serbest sistem yumurta tavukçuluğunun diğer sistemlerden daha iyi olduğunu ifade etmiştir. Tüketicilerin %80.4 ü organik ya da serbest sistemde üretilen yumurtalar hakkında yeterince tanıtım yapılmadığını belirtmiştir. Yine tüketicilerin %44’ ü organik ya da serbest sistemde üretilen yumurtaların fiyatını etkileyen en önemli faktörün yüksek üretim maliyeti olduğunu ifade etmiştir. Tüketicilerin %69.3’ ünün organik ya da serbest sistemde üretilen yumurtaları daha sağlıklı buldukları için tercih ettikleri tespit edilmiştir. Tüketicilerin %48’ i yumurta üreten ya da satan işletmelerin yeterince denetlenmediğini ifade etmiştir. Ayrıca, tüketicilerin %57’si kovid-19 vakalarının yumurta tüketimlerini etkilemediğini, buna karşın %26.1’i ise yumurta tüketimlerini arttırdığını belirtmiştir. Aynı zamanda, tüketicilerin %77.4’ü kovid-19 vakalarının yumurta fiyatlarını arttırdığını ifade etmiştir.
 Sonuç: Yazılı ve görsel basında zaman zaman yumurta tüketimine karşı propagandalar yapılmaktadır ve bu propagandalar yumurta tüketiminin azalmasına neden olmaktadır. Bu nedenle tüketim düzeyini daha da artırabilmek için yumurtanın yeterli ve dengeli beslenmedeki yeri ve önemi anlatılmalıdır.

Price Transmission Between Input and Output Markets: The Covid-19 Effect on Laying Hens’ Industry in Indonesia

Corn and poultry are two strategic commodities supporting food security and highly dependent on one another. This study analyses the short-term and long-term relationship between the price variables for eggs, broiler, and corn. It determines the effect of COVID-19 at the producer and consumer levels on the price of eggs in 28 provinces in Indonesia using the Panel Autoregressive Distributed Lag (PARDL) – Pooled Mean Group (PMG) approach. The PARDL estimation showed a short-term relationship between egg, broiler, and corn price variables at the producer and consumer levels, and this is shown by a significant positive and negative relationship in several provinces. There is a substitution relationship between laying hens and broiler in North Sumatra, Riau, South Sumatra, West Java, Central Java, Banten, West Nusa Tenggara, North Sulawesi, and West Papua, while the complementary relationship only occurs in Bali. In addition, the Indonesian laying hen industry should be supported by integrated policies from upstream to downstream. This is a policy of the lowest and the highest retail price and those that regulates the creation of corn supply balance inputs as the main feed for laying hens. Keywords: corn, COV-19, laying hens, PARDL, price transmission

The main trends in the development of egg poultry farming in Ukraine

Poultry breeding in the egg sector belongs to the strategically important areas of livestock production in Ukraine and many countries worldwide. In addition, it affects the country's food security by filling the market with valuable food products. Eggs are one of the leading export products of livestock production in Ukraine. However, during the studied period, there was a decline in the production and economic potential of poultry farming in the egg sector, negatively affecting export opportunities. The article presents the results of a study of the main trends in the development of egg production in Ukraine. An economic analysis of the dynamics of egg production in enterprises and households in the regions of Ukraine was carried out. The importance of the influence and the specific weight in forming the offer of eggs on the regional markets were determined. The leading indicators of the balance of eggs in Ukraine were studied. An analysis of the fund of egg consumption by regions of Ukraine was carried out. The promising central areas for developing poultry farming in the egg direction are substantiated, considering the difference between the volume of egg production and the consumption fund in Ukraine. The main negative factors of the decline in the volume of egg production in agricultural enterprises and households have been established. The structure of egg production by regions of Ukraine was determined. The development of small organizational forms of business in poultry farming, in particular, farms based on households and personal peasant farms to minimize risks, reduce logistics costs, develop the clean competition, and improve the balance between supply and demand in regional markets, is substantiated. According to the results of the study, it was established that the production of eggs in Ukraine for 2010–2021 decreased by 17%. The most significant decline occurred in 2021 - by 13% compared to the previous year, due to the increase in costs for feed, energy sources, and price disparity, which caused a decrease in production profitability and investment interest among many industrial producers. In 2022, the drop in egg production was exacerbated by active hostilities that covered the eastern, most of the southern and northern regions of Ukraine, which led to the loss of production capacity, the blockade of logistics flows, and the reduction of the productive poultry population in many local enterprises. The determined set of factors caused a sharp increase in egg prices in the 3rd and 4th quarters of 2022, which will affect the further decrease of the consumption fund.

Training of Adding Turmeric and Curcuma as Food Additives for Laying Hens

The use of bioactive plants to replace antibiotics is now widely used. The program's purpose is to provide a solution for natural feed additives to laying hens in Ngaliyan as a substitute for Antibiotics Growth Promotor (AGP), which is prohibited by the government, and provide knowledge to farmers about the use of medicinal plants to improve the productivity of livestock. The target was laying hens farmers in Ngaliyan. The problem was chicken feed is made without AGP and egg prices fell while feed prices had risen. The solution offered to the partner was adding food additives from turmeric and Curcuma. Turmeric and Curcuma will improve immunity to increase livestock productivity, feed efficiency, and egg quality. Based on this reason, we conducted community services for laying hens farmers in Ngaliyan. Community service activities were carried out using the PAR method for two months through socialization, training, assistance in providing additional natural feed, and evaluation. Giving turmeric and Curcuma flour can improve the quality of eggs. The result of the community service showed an understanding of partners to formulate and produce feed additives in raising laying hens was improved. In addition, farmers were able to formulate and produce herbal feed based on requirements.

Fluktuasi Harga Pangan Dan Pengaruhnya Terhadap Inflasi Di Kota Padang, Provinsi Sumatera Barat

One of the contributors to inflation in Padang City comes from the food and/or food ingredients subgroup. In this subgroup, the variable that dominates the inflation rate is food prices. Unstable inflation conditions will have an impact on the economy of a region. The purpose of the study was to identify the development of food prices in the city of Padang and to analyze the effect of food price fluctuations on inflation in the city of Padang. Data for the period January 2018 to December 2021 are used for descriptive analysis and vector autoregressive modeling (VAR/VECM). The variables used are the prices of rice, red chilies, cooking oil, broiler eggs, broiler meat, and granulated sugar. will be analyzed its effect on inflation in the city of Padang. The condition of food prices shows a fluctuating trend. The analysis results show that in the short term cointegration occurs between variables. In the long term, the prices of rice, red chilies, broiler eggs, and chicken meat have a significant effect on inflation in the city of Padang. The projection results for the next 24 years show that the most significant contribution of variance is dominated by the inflation variable (53.69%). The most significant strategic food commodity in explaining the inflation diversity of Padang City is red chili (22.99%) and rice (16.76%). The rest (6.56%) is explained by other commodities' price variables. The contribution of food prices identified as having an impact on inflation in the City of Padang should be the focus of attention of the local government in setting trade regulations in the future.

A System Dynamics Model for Developing an Agropolitan Area based on Laying Hens in Lima Puluh Kota Regency

The development of an agropolitan area based on laying hens in Lima Puluh Kota Regency faces many problems. One method that can be used to solve these complex problems is the systems approach. This study aimed to build a model for developing a sustainable agropolitan area based on integrated laying hens farming. The results of the system performance indicated that the current system is in a fairly sustainable position. The dynamics of time will make changes in system performance in the future. There are six factors that influence the interdependent system, namely carrying capacity, egg prices, farmer income, employment, infrastructure, and utilization of livestock waste. Based on the state of each factor, three scenarios were formulated for the development of a sustainable laying hens farming system in Lima Puluh Kota Regency: (1) conservative-pessimistic scenario, (2) moderate-optimistic scenario, and (3) progressive-optimistic scenario.

Estimating production costs and retail prices in different poultry housing systems: conventional, enriched cage, aviary, and barn in Japan

For many producers, introduction of improved animal welfare systems is a turning point in their future production strategies as it increases production costs. The increase in egg retail prices is of growing concern not only for producers, but also for retailers and consumers. However, no report has calculated the estimated production costs or retail prices associated with introducing practices that support improved animal welfare in poultry farms in Japan. Therefore, this study aimed to estimate the production costs and table egg prices of 6 types of laying hen systems: conventional cage (CC): 8- and 12-tiers (CC8, CC12), enriched cage (EC): 8- and 12-tiers (EC8, EC12), aviary (AV), and barn systems (BR). Production costs include land purchases, construction costs of facilities, equipment and machinery, quantity of feed provided, farming materials invested, and wages.As a result, farm gate prices were estimated as CC8 = 12.19, CC12 = 12.19, EC8 = 14.52, EC12 = 14.52, AV = 21.14, and BR = 28.74 [yen/egg], and the production cost, including building the new farm, increased by EC8 = 19.1%, EC12 = 19.1%, AV = 73.4%, and BR = 135.7%, respectively, referring to the value of CC. The results show that the prices increase in systems between CC and BN. The retail price or table egg price was estimated to be CC8 = 24.68, CC12 = 24.68, EC8 = 28.07, EC12 = 28.07, AV = 37.27, and BR = 48.53 [yen/egg]. The retail price of BR is approximately twice that of CC. In addition, assuming that all of Japan's eggs were produced in the BR system, the soaring cost of eggs would likely affect the prices of factory eggs, such as liquid eggs and other products, thus affecting the prices of various food products.Understanding the significant management costs that affect the retail price of eggs would facilitate improved policies and practical approaches to support poultry farms and sustainable farming activities while addressing public concerns.

Food price dynamics and regional clusters: machine learning analysis of egg prices in China

PurposeThe study uses machine learning techniques to cluster regional retail egg prices after 2000 in China. Furthermore, it combines machine learning results with econometric models to study determinants of cluster affiliation. Eggs are an inexpensiv, nutritious and sustainable animal food. Contextually, China is the largest country in the world in terms of both egg production and consumption. Regional clustering can help governments to imporve the precision of price policies and help producers make better investment decisions. The results are purely driven by data.Design/methodology/approachThe study introduces dynamic time warping (DTW) algorithm which takes into account time series properties to analyze provincial egg prices in China. The results are compared with several other algorithms, such as TADPole. DTW is superior, though it is computationally expensive. After the clustering, a multinomial logit model is run to study the determinants of cluster affiliation.FindingsThe study identified three clusters. The first cluster including 12 provinces and the second cluster including 2 provinces are the main egg production provinces and their neighboring provinces in China. The third cluster is mainly egg importing regions. Clusters 1 and 2 have higher price volatility. The authors confirm that due to transaction costs, the importing areas may have less price volatility.Practical implicationsThe machine learning techniques could help governments make more precise policies and help producers make better investment decisions.Originality/valueThis is the first paper to use machine learning techniques to cluster food prices. It also combines machine learning and econometric models to better study price dynamics.

Pengaruh Fluktuasi Harga Komoditas Pangan Terhadap Inflasi di Provinsi Sumatera Utara tahun (2019-2021)

Inflation has a major impact on the local economy. Inflation cann have a positivee or negativee impact, depending on whether inflation is high or not. The purpose of this study was to analyzee the effect of fluctuations in the price of rice, curly red chilies and broilers on inflation in North Sumatra. This type of research uses quantitative methods. Thee type of data used is secondary data. Data analysis method using VAR. VAR analysis was performed using Evaluation 10 software. The results showed that there were seven variables that had a significant effect on inflation at the 5% level in the short term: inflation one month ago, inflation two months ago, inflation three months ago, and prices. Thee price of rice one month ago, the price of ricee two months ago, thee price of red chili three months ago. In the long run, there are variables that affect inflation. Namely, thee price of rice, the pricee of redd chili, the price of fresh chicken eggs. 
 KEYWORDS: Inflation, Food prices, VECM

A systems thinking approach to understand the drivers of change in backyard poultry farming system

CONTEXTDrivers of change in farming systems are not static, they evolve. Yet, there is an underlying assumption in the literature that drivers of change are static. OBJECTIVEThis paper seeks to understand how drivers of change in Ghana's backyard poultry farming system evolve within a calendar year and examine how different production strategies contribute to the incomes of farm households. METHODSA system dynamics model, comprising production, financial, consumption, and epidemiological modules, was developed, validated, and simulated for a 52-week period using a weekly timestep. RESULTS AND CONCLUSIONSResults of the loops that matter analysis showed that from the onset of the poultry production, disease prevention at different growth stages of the chicken (especially for day-old chicks) via vaccination is a critical driver of change that has a high but short-lived dominance. Beyond the grower stage, the changes in the unit price of eggs have a relatively higher and longer influence on production dynamics than changes in the unit price of poultry meat. Moreover, the results suggest that a focus only on meat production is the most profitable strategy compared to production strategies that focus only on egg production or a mix of egg and meat production. SIGNIFICANCEThe findings of this paper extend the literature on drivers of change in the farming system by stressing the need to assess how these drivers evolve. The application of the loops that matter analysis in system dynamics modelling provides a framework for analysing the evolution of drivers of change in farming system.

Duckling productions by rice husk incubators in Baniachang upazila of Habiganj district

The study aims to know the scenario of duckling production using rice husk incubator and socio-economic status of the farmers of Vatiapara village under Baniachang upazila of Habiganj District. A total of 140 number of households were interviewed among them 64.7% family had homestead land followed by 35.3% family had both homestead and cultivated land. All living houses were of tin made with 70% nuclear and 30% joint family. There about 9.1% illiterate and 39.4% people could sign only. The primary, secondary and higher secondary or upper educational levels were 25.7%, 18.2% and 7.6%, respectively. More than 76.5% family are engaged directly in duckling production whereas 23.5% family are involved in catching and cultivating fish. About 23.5% families were fully occupied in fisheries and 41.25% family in integrated agriculture as secondary occupation. On an average, their income was 10,676 Tk. Among the selected families 59% got training on duck rearing with hatchery management. Based on 70% hatchability, per family produced monthly more than 7000 number of ducklings from 10000 number of hatching eggs. The yearly turnover is calculated as to nine months hatching operation since the enterprise remained almost stop from the late November to mid-February. Hatching egg price was different due to seasonal variation and, on an average, it was 10.50 Tk. Overall 7088 number of ducklings were produced per household monthly, which valued about 177200 Tk. (25 Tk./duckling) and net profit was 66535 Tk./month. Thus, the community-based duckling production can be encouraged more among the families through providing an adequate technical knowledge, training and an improvement of marketing channel to increase socio-economic status of the farmers. Bangladesh J. Agri. 2022, 47(1): 113-120

PENGARUH PENDAPATAN DAN HARGA PANGAN TERHADAP DIVERSIFIKASI PANGAN DI PULAU JAWA

This study uses data from the National Socio-Economic Survey (Susenas) for the period March 2015, March 2016 and March 2017 which was collected by the Central Statistics Agency (BPS). This study uses the Berry Index (BI) and Modified Berry Index (MBI) analysis methods to measure the level of household food diversification. The results of the analysis state that rice is still an important food ingredient for the people of Java, but along with the increase in household income groups, the proportion of rice consumption also decreases and shifts to consumption of ready-to-eat food and beverages. The level of food diversification is already high. With the increase in per capita income, the level of food diversification also increases. Food diversification experienced positive growth from year to year. Thus, the high income group has the largest share of food expenditure in the processed food and beverage commodity group. In general, food diversification is influenced by food expenditure, food commodity prices, number of family members and area of ??residence. The increase in the price of rice, fish, eggs, vegetables, nuts and fruits reduces the level of diversification. This is because these commodities, especially rice, are staple commodities that are difficult to substitute. An increase in income levels will increase food diversification. Increasing the number of family members reduces the level of diversification. Households in urban areas have a higher level of diversification than households in rural areas.

Delving Deeper into Market Concentration of Poultry Feed and the Driving Factors for Brand Switching: Evidence from Commercial Egg Producers in Nigeria

An increase in the price of branded feed has been a major problem for the poultry subsector of Nigerian agriculture, and brand switching for a cheap feed at the expense of quality is a common strategy used by egg-producing farmers. Using descriptive statistics, the Markov chain model and the logistic regression model, our study shows that almost 96% of the egg producers use branded feed while 43.1% switched feed brands because of the increase in the price of their preferred brands. Most farmers used Chikun (39.3%) and Top feed (23.2%) six months before data collection and during data collection, respectively. Our study found that approximately 37% of the feed sellers sold at least 10–50 bags per day. We revealed great inequality regarding market concentration: 50% of the feed sellers accounted for 89.5% of the total bags of feed sold per day. Hybrid had the highest customer loyalty. The study shows that Chikun gained 23.7% and 7.1% from Hybrid and Top feed, respectively, while Hybrid gained 36.0% and 35.7% from Chikun and Top feed (change in loyalty by egg producers), respectively. Membership of an association, distance to feed sellers, flock size and the average price of feed per bag were factors that influenced brand switching of poultry feed among egg producers. The study recommends that the government assists in subsidizing the price of critical ingredients (maize and soya bean) in feed production to prevent the price of eggs (the cheap source of protein) from becoming out of reach for most Nigerians.

Egg Market Integration and Financial Feasibility Laying Hens Farmer in Central Java, Indonesia

The research aims to determine the degree of chicken egg market integration, determine the price asymmetric and determine the financial feasibility of chicken egg business in Central Java, Indonesia. Secondary data from January 2017- December 2019 was used for research. Survey research was conducted on 100 (one hundred) laying hens farmers. The research study was conducted in Semarang city, Kendal regency and Semarang regency. Johansen test, Pearson correlation and Granger Causality test were used in this study. Financial feasibility analyses such as investment, payback period (PP), net present value (NPV), Internal Rate of Return (IRR), Return on Investment (ROI), and Benefit-cost (B/C) ratio are used in this study. The result showed there was a positive correlation between the Price in Kendal Regency and Semarang City. Increasing prices in Semarang City caused the increasing Price in Kendal regency vice versa. There was a marketing integration between Semarang city and Kendal regency, and Granger Causality showed Price in Semarang city influenced the Price in Kendal regency and Semarang regency. The price of chicken eggs in Semarang city, Kendal regency, and Semarang city were symmetric. Based on the calculation of PP, NPV, IRR, ROI and B/C ratio, laying hens business in Central Java is feasible to run.

Price risk management effect on the China’s egg “Insurance + Futures” mode: an empirical analysis based on the AR-Net model

Egg prices are linked to people’s livelihoods, and layer farmers face the risk of large fluctuations. The “Insurance + Futures” mode, as one of new price risk management modes, suffers from the problems of inaccurately determining insurance price and premium rate: an approach that overcomes these problems by proposing a mode based on the autoregressive neural network(AR-Net) model is proposed. This study uses the data pertaining to China’s egg futures closing prices from November 2013 to March 2021 for analysis, a dataset of 1756 samples can be obtained from theWind database. The improved egg price risk management mode presented herein comprises three stages. Firstly, compared with the statistical models (Autoregressive model, ARIMA model, Monte Carlo simulation) and neural network model (Back propagation (BP) model, convolutional neural network (CNN) model), the AR-Net model improves the accuracy of insurance price forecast by its seasonal trend coefficients. Secondly, the AR-Net model is used for rolling forecasts of insurance price and premium rate during the insurance period. Scenario simulations predict that the new mode offers better risk management. Thirdly, the result of robustness analysis by value at risk-generalized autoregressive conditional heteroskedasticity(VaR-GARCH) model implies that the AR-Net model can improve the management of risk.

Impact of Climate Change on Egg Production in India and Price Behaviour of Eggs in Selected Markets of India

The present study entitled “Impact of Climate Change on Egg Production in India and Price Behaviour of Eggs in Selected Markets of India” aims to study the impact of climatic variables such as temperature, rainfall and relative humidity on egg production in India and various components of prices of eggs in selected markets of India. Multiple regression analysis revealed that temperature has a negative effect and rainfall and relative humidity have a positive effect on egg production in India. Decomposition of prices of eggs to trend, seasonal, cyclical and irregular components was done using Minitab. The data on egg prices from June 2009 to May 2022 was obtained from National Egg Coordination Committee (NECC) website. Bengaluru, Chennai, Delhi and Mumbai are the four markets considered for the study. The average price per 100 eggs is highest in Mumbai (Rs.366.06) followed by Chennai (Rs.360.25), Bengaluru (Rs.348.52) and Delhi (Rs.341.17). the prices of eggs showed wide fluctuations and there is uniformity in prices of eggs across all the selected markets due to organized egg marketing. The prices of eggs in all the selected markets showed a highly significant increasing trend. The annual increase in egg prices was highest in the Mumbai market (Rs.1.57/100 eggs) and lowest in the Delhi market (Rs.1.35/100 eggs). The highest seasonal index was observed during the month of June in Bengaluru and Chennai markets and during the month of July in Delhi and Mumbai markets. In the month of April, the prices of eggs decreased due to their short shelf life because of summer whereas in the month of November the prices of eggs decreased due to an increase in arrivals of eggs. The highest price of eggs during the June and July months is due to an increase in the consumption of eggs. Egg prices do not have any price cycles and irregular variations are observed for all the markets considered under study. Government should take initiative to educate poultry farmers regarding the impact of climate change on egg production as well as prevailing egg prices in the market.