Eggs US fell to 2.92 USD/Dozen on August 1, 2025, down 3.71% from the previous day. Over the past month, Eggs US's price has risen 14.59%, and is up 6.72% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Eggs US.

Poultry traded flat at 7.22 BRL/Kgs on August 1, 2025. Over the past month, Poultry's price has fallen 3.35%, and is down 0.96% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Poultry - values, historical data, forecasts and news - updated on August of 2025.

The intense selection of chickens for production traits, such as egg laying, is thought to cause undesirable side effects and changes in behavior. Trade-offs resulting from energy expenditure in productivity may influence other traits: in order to sustain energetic costs for high egg production, energy expenditure may be redirected away from specific behavioral traits. For example, such energetic trade-offs may change the hens’ cognitive abilities. Therefore, we hypothesized highly productive laying hens to show reduced learning performance in comparison to moderate productive lines. We examined the learning ability of four chicken lines that differed in laying performance (200 versus 300 eggs/year) and phylogenetic origin (brown/white layer; respectively, within performance). In total 61 hens were tested in semi-automated Skinner boxes in a three-phase learning paradigm (initial learning, reversal learning, extinction). To measure the hens’ learning performance within each phase, we compared the number of active decisions needed to fulfill a learning criteria (80% correct choices for learning, 70% no responses at extinction) using linear models. Differences between the proportions of hens per line that reached criterion on each phase of the learning tasks were analyzed by using a Kaplan–Meier (KM) survival analysis. A greater proportion of high productive hens achieved the learning criteria on each phase compared to less productive hens (Chi23 = 8.25, p = 0.041). Furthermore, high productive hens accomplished the learning criteria after fewer active decisions in the initial phase (p = 0.012) and in extinction (p = 0.004) compared to the less selected lines. Phylogenetic origin was associated with differences in learning in extinction. Our results contradict our hypothesis and indicate that the selection for productivity traits has led to changes in learning behavior and the high productive laying hens possessed a better learning strategy compared to moderate productive hens in a feeding-rewarding context. This better performance may be a response to constraints resulting from high selection as it may enable these hens to efficiently acquire additional energy resources. Underlying mechanisms for this may be directly related to differences in neuronal structure or indirectly to foraging strategies and changes in personality traits such as fearfulness and sociality.

Nathan A. Slaton, Rajveer Singh, Uzair Ahmad, Cheri Villines, Russell Delong, and Otis Robinson[Note: Updated for 2025 release]. The database contains select properties of 16,728 dairy, poultry, and swine manure samples submitted between 1 January 2005 and 31 December 2024 to the University of Arkansas Division of Agriculture Fayetteville Agricultural Diagnostic Laboratory (FADL). Most samples were submitted by clients with active animal production farms to determine manure properties for nutrient management planning. Most samples are from farms within Arkansas (4,862) followed by Tennessee (386), and Oklahoma (206). Many of the samples from 2005–2022 do not include a county and state of origin, but Arkansas is the primary state of origin for these samples in the database. Metadata describing the production system, manure collection and storage, age, and bedding was provided by clients and assumed to be reasonably accurate. Animal type, Bedding type, and Manure type metadata not provided by the client were listed as “Unknown”. Metadata for Sample age (days), State, County, and some analytes were sometimes missing and left as blank cells.We could not find a single literature source that describes all production systems and manure/litter types, but the information in Malone (1992), Key et al. (2011), and USDA-NRCS (2012), describe animal production systems, manure forms, and the factors that influence litter/manure production in animal production systems in the USA that may help understand the types of litter/manure forms included in this database.Poultry litter (Dry) SamplesThe database includes information for >14,000 poultry samples submitted from 1 January 2005 through 31 December 2024. Samples in the database represented Broiler, Hen, Pullet, Turkey, Cornish, Rooster, and Unknown (no animal-specific production system noted). An example manure submission form is shown in Figure 1. Manure types include Cake, Cleanout, Compost, Dead bird compost, Deep stack, Dry stack, Fresh litter, In-house, Lagoon liquid, Lagoon sludge, Loose, Pellets, Sludge, and Unknown. Bedding materials include Rice (Oryza sativa L.) hulls, Sawdust, Wood shavings, mixtures of Rice hulls and Sawdust, Rice hulls and Wood shavings, Wood shavings and Sawdust, Straw and Wood shavings, and Unknown.Arkansas clients usually deliver samples directly to the FADL or a local county Extension office where a sample submission form (Figure 1) is completed, and the sample is shipped to the laboratory. Samples from Oklahoma are often delivered directly to the FADL. When a sample arrives at the lab, the date received and the lab identification number are added to the sample’s submission form, which is filed for record-keeping. The lab identification numbers contain 5-6 digits, are numbered sequentially in the order received at the lab, and represent information including (from left to right): Letter M (Manure; note some samples include M and others do not because “M” was omitted when entered into the database); first or second number (1-10 or 20) stands for the year; and the last 4 numbers in the lab number are the order the sample was logged in at the FADL. The dataset also includes columns for the year and date received.Using a scoop or spatula, the bulk manure sample (as received) is split into two representative subsamples (~100 mL or cm3 each) and placed into plastic bags. The subsamples are refrigerated at 4°C until further analysis. One of the subsamples is homogenized and ground using a coffee bean grinder for pH, electrical conductivity, and total nutrient analysis. The second subsample remains unaltered (as-received) and is used for moisture determination and water-extractable phosphorus (WEP) analysis. A homogenized, ground subsample was initially used for WEP, but starting in 2009, the unaltered, “as-received” sample has been used for WEP analysis. The change was made because of speculation that homogenizing the subsample increased the WEP, and the research performed to develop the Arkansas P index used unaltered, “as-received” litter. Any remaining bulk sample is stored at room temperature until analysis is complete and the results are reported to the client. The FADL has participated in the Minnesota Manure Proficiency Program (https://www.mda.state.mn.us/pesticide-fertilizer/certified-testing-laboratories-manure-soil) as part of the quality assurance and control program since 2005.The database includes two columns for WEP data (i.e., Arkansas WEP and Universal WEP). Water-extractable P was originally performed using the 10:1 water/litter (v:w) ratio, identified as the Arkansas method (Wolf et al., 2009). The Universal WEP method (Spargo, 2022; Wolf et al., 2009) is now used to determine water-extractable nutrients in manure samples. The Arkansas WEP method was used on poultry litter samples through 2009 since this was required for samples submitted from the Eucha-Spavinaw watershed (Sharpley et al., 2009; 2010). Beginning in 2010, the laboratory switched WEP analyses to the Universal WEP method. The Universal water-extraction method (100:1) is the only method used for the determination of water-extractable potassium (WEK).The counties and states of sample origin were not recorded in the original poultry litter dataset but were added for samples submitted beginning 1 January 2023. The county and state details were added to random samples that were checked for accuracy of analytical information. Please note that even when the county of litter origin is provided, it may not be accurate since the county of Extension office that received the sample may not be consistent with the county of production. Information included in the column identified as “Clients” has two levels: “ESWMT” (Eucha-Spavinaw Watershed Management Team) and “Other”. Samples with the client identified as ESWMT were submitted from poultry farms located within the Eucha-Spavinaw watershed (DeLaune et al., 2006; Sharpley et al., 2009). The ESWMT label identified these samples for the analysis requirements set by the watershed regulations, requiring all poultry litter samples be analyzed for WEP (OCCWQD, 2007).Dairy and Swine Liquid Manure SamplesThe database includes dairy and swine manure properties and metadata for 678 dairy and 1934 swine samples submitted from 1 January 2007 through 31 December 2024. The dairy and swine data include samples of dry and liquid manure forms. Most samples include geographic origin metadata at the state and county levels. Metadata for dairy and swine sample manure types include Cleanout, Compost, Dry stack, Fresh from floor, Lagoon sludge, Lagoon liquid, Milk wash water, Pit, Holding Pond, Settling basin liquid, Settling basin sludge, Sludge, Tank, Wash water, and Unknown. Sample age metadata should be used with caution since some values are very low (e.g., 1-7 days) and may misrepresent the requested information.Clients are provided with 500 ml (16.9 oz; 73×164 mm D×H: 53 mm cap) leakproof bottles and shipping boxes (Figure 2). Upon delivery, samples are refrigerated until the analyses are completed. The analyses performed were based on client requests and include the percent solids for liquid samples or percent moisture for dry samples.References1. DeLaune, P.B., Haggard, B.E., Daniel, T.C., Chaubey, I., & Cochran, M.J. (2006). The Eucha/Spavinaw phosphorus index: A court mandated index for litter management. J. Soil Water Cons., 61(2), 96–105.2. Key, N., McBride, W.D., Ribaudo, M., & Sneeringer, S. (2011). Trends and developments in hog manure management: 1998-2009. EIB-81. USDA, Econ. Res. Serv., Washington, DC.3. Malone, G.W. (1992). Nutrient enrichment in integrated broiler production systems. Poult. Sci., 71(7), 1117–1122.4. Oklahoma Conservation Commission Water Quality Division (OCCWQD). (2007). Watershed based plan for the lake Eucha/lake Spavinaw watershed. Oklahoma Conservation Commission. https://conservation.ok.gov/wp-content/uploads/2021/07/Eucha_Spavinaw-Watershed-Based-Plan-2009.pdf5. Sharpley, A., Herron, S., West, C., & Daniel, T. (2009). Outcomes of phosphorus-based nutrient management in the Eucha-Spavinaw watershed. In A.J. Franzluebbers (Ed), Farming with grass: Achieving sustainable mixed agricultural landscapes (pp. 192–204). Soil and Water Conservation Society, Ankeny, IA.6. Sharpley, A., Moore, P., VanDavender, K., Daniels, M., Delp, W., Haggard, B., Daniel, T., & Baber, A. (2010). Arkansas phosphorus index. FSA-9531. University of Arkansas Coop. Ext. Serv. https://www.uaex.uada.edu/publications/PDF/FSA-9531.pdf7. Spargo, J.T. (2022). M-6.1 Water extractable phosphorus, 100:1 solution to solids ratio. In M.L. Wilson & S. Cortus (Eds.), Recommended Methods of Manure Analysis (2nd ed., pp. 83–86). University of Minnesota Libraries Publishing, Minneapolis, MN.8. United States Department of Agriculture, Natural Resources Conservation Service (USDA-NRCS). (2012). Chapter 4: Agricultural waste characteristics. In Part 651: Agricultural Waste Management Field Handbook. USDA, Soil Cons. Serv., Washington, DC.9. Wolf, A.M., Moore, P.A., Jr., Kleinman, P.J.A., & Sullivan, D.M. (2009). Water-extractable phosphorus in animal manure and biosolids. In J.L. Kovar & G.M. Pierzynski (Eds.), Methods of Phosphorus Analysis for Soils, Sediments, Residuals, and Waters

Indonesia Average Wholesale Price: Chicken Meat data was reported at 30,250.000 IDR/kg in 16 May 2025. This stayed constant from the previous number of 30,250.000 IDR/kg for 15 May 2025. Indonesia Average Wholesale Price: Chicken Meat data is updated daily, averaging 28,550.000 IDR/kg from Jun 2017 (Median) to 16 May 2025, with 2008 observations. The data reached an all-time high of 34,400.000 IDR/kg in 30 Jun 2023 and a record low of 16,150.000 IDR/kg in 14 Jun 2017. Indonesia Average Wholesale Price: Chicken Meat data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Prices – Table ID.PC008: Average Wholesale Price: By Regions: Chicken Meat.

Monthly average retail prices for selected products, for Canada and provinces. Prices are presented for the current month and the previous four months. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.