데이터셋 상세
미국
Data from: Can measurements of foraging behaviour predict variation in weight gains of free-ranging cattle?
,Technologies are now available to continuously monitor livestock foraging behaviours, but it remains unclear whether such measurements can meaningfully inform livestock grazing management decisions. Empirical studies in extensive rangelands are needed to quantify relationships between short-term foraging behaviours (e.g. minutes to days) and longer-term measures of animal performance. The objective of this study was to examine whether four different ways of measuring daily foraging behaviour (grazing-bout duration, grazing time per day, velocity while grazing, and turn angle while grazing) were related to weight gain by free-ranging yearling steers grazing semiarid rangeland. These data include measurements interpreted from yearling steer outfitted with neck collars supporting a solar-powered device that measured GPS locations at 5 minute intervals and used an accelerometer to predict grazing activity at 4 second intervals. Average daily weight gains of steers are included as well as an estimate of standing forage biomass derived from the Harmonized Landsat-Sentinel remote-sensing product. These data support research to advance knowledge regarding the use of on-animal sensors that monitor foraging behaviour, which have the potential to transmit indicators to livestock managers in real time (e.g. daily). This approach can help inform decisions such as when to move animals among paddocks, or when to sell or transition animals from rangeland to confined feeding operations.,,
연관 데이터
Foraging behavior and spatial grazing distribution of free-ranging cattle 2014-2018 on the Central Plains Experimental Range
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,Data were collected on the Central Plains Experimental Range (CPER) from 2014-2018, near Nunn, Colorado as part of the common experiments in grazinglands for the Long-Term Agroecosystem Research network. LTAR scientists seek to create new knowledge regarding sustainable management of grazinglands. This dataset on cattle foraging behavior and distribution provides new information towards understanding how management practices influence grazing livestock movements in space and time. The common experiment at CPER is called Collaborative Adaptive Rangeland Management (CARM) and is a ten-year ranch-scale (2,600-ha) social-ecological experiment designed to examine how adaptive rotations of a single large cattle herd among paddocks within a heterogeneous landscape during the growing season (collaborative, adaptive rangeland management; CARM) contrasts with continuous, season-long grazing of paddocks by small non-rotational herds (traditional rangeland management; TRM). Differences in movement patterns between the two treatments were examined with data collected from global positioning system tracking collars (Lotek 3300LR GPS) combined with activity sensors. These data were used to determine daily metrics of foraging behavior by steers in both treatments at five-minute intervals and include (1) location, (2) distance moved within 5 minutes, and (3) and grazing activity. These data are from the first half of the CARM experiment to support the publication, "Adaptive, multi-paddock, rotational grazing management alters foraging behavior and spatial grazing distribution of free-ranging cattle.",Resources in this dataset:,,
Data from USDA ARS High Plains Grasslands Research Station (East Unit) near Cheyenne, WY: Yearling cattle weight gains managed in light, moderate and heavily stocked pastures (1982-2022)
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,The USDA-Agricultural Research Service High Plains Grasslands Research Station (HPGRS) is located in Cheyenne, Wyoming, USA. In 1982, a long-term stocking rate study on northern mixed-grass prairie was initiated with season-long (early June to October) grazing. Stocking rates defined as light (35% below NRCS recommended rate, 15 yearlings per 80 ha), moderate (NRCS recommended rate, 4 yearlings per 12ha), and heavy (33% above NRCS recommended rate, 4 yearlings per 9 ha). British- and continental-breed yearling cattle were used throughout the study years. When forage supply was limited due to drought, grazing seasons were shortened or cattle were not grazed for that season. Individual raw data on cattle entry and exit weights are available from 1982 to 2022. No grazing occurred in the years 1989, 2000, and 2002 due to drought conditions. Weight gain outliers (± 2 sd of treatment mean) were removed from the dataset.,,
Grazing Intensity Data
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These data were collected as part of the NSW Grazing Study. The study sampled a range of grazing intensities based on both recent (last 2-3 years) and historic (up to 20 years) grazing. To assess recent grazing intensity we identified and counted the dung or pellets of all herbivores (cattle, sheep/goat, kangaroo) within the large (5m x 5m) and small (0.5m x 0.5m) (kangaroo, rabbit, sheep/goat) quadrats. For cattle, we counted dung events rather than individual fragments, i.e. we considered a number of small fragments to have originated from one dung event, if the fragments were within an area of a few metres. At ten sites we counted, collected, dried and weighed the dung from 10 large quadrats to obtain a relationship between dung counts and dry mass for each herbivore. This relationship was then used to calculate the total oven-dried mass of dung per hectare per herbivore as our measure of recent grazing intensity. Where dung from the same herbivore was assessed in both the large and small quadrats, we derived an average mass per hectare based on both quadrats for that herbivore type. We were unable to discriminate between sheep, goat and in very few cases deer (Cervus spp.) dung, or between European rabbit and European hare (Lepus europaeus) dung. Other indicator of recent grazing were also collected (rabbit burrows, latrines and kangaroo hip holes). The abundance of these were collected in a 200m x 10m belt transect. To assess historic grazing intensity we measured the width and depth of all livestock tracks crossing the 200 m transect to derive a total cross-sectional area of livestock tracks for each site (Pringle and Landsberg 2004).
Jornada Experimental Range (USDA-ARS) annual stocking rates for cattle, horses, and sheep, 1916-2001
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,This data package contains data on stocking rates for cattle, horses, and sheep on all pastures of the USDA-ARS Jornada Experimental Range beginning in 1916. Grazing goats were infrequent and are therefore included as part of the sheep category. Stocking rates are expressed in animal unit month (AUM), which is based on metabolic weight and average amount of forage needed by each animal unit per month. Total AUM is calculated for each year for each animal unit. This study was completed in 2001 and will not be updated.NOTE: The USDA-ARS discontinued regular updates to this dataset after 2002 because of de-stocking.,,
Metadata from: Mob and rotational grazing influence pasture biomass, nutritive value, and species composition
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,This is digital research metadata corresponding to a published manuscript in Agronomy Journal, "Mob and rotational grazing influence pasture biomass, nutritive value, and species composition", Vol. 112 p. 2866-2878. Dataset may be accessed via the included link at the Dryad data repository.,Mob grazing, which uses very high stocking densities for short durations followed by a relatively long rest period, was designed to mimic bison (Bison bison) grazing in western U.S. grassland. This project assessed the suitability of mob grazing for livestock production in the Northeast. Objectives were to compare the effects of mob and rotational grazing on dry matter (DM) mass, nutritive value, and botanical composition across four grazing seasons. Eight, 0.10‐ha paddocks were established in 2014 as a randomized complete block with four replications, and seeded with alfalfa (Medicago sativa L.), white clover (Trifolium repens L.), orchardgrass (Dactylis glomerata L.), narrowleaf plantain (Plantago lanceolata L.), and tall fescue [Schedonorus arundinaceus (Schreb.) Dumort]. Mob‐grazed (MOB) paddocks were grazed by yearling beef cattle twice each year, (70–90–day interval), and rotationally grazed (ROT) paddocks were grazed four to six times each year (when sward height reached 25 cm).,Methods are described in the manuscript https://doi.org/10.1002/agj2.20215. Descriptions corresponding to each figure and table in the manuscript are placed on separate tabs in the Excel file to clarify abbreviations and summarize the data headings and units.,,
농림축산식품부 기타가축통계
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시도별 기타가축(마필, 산양, 면양, 사슴, 토끼, 개, 오리, 칠면조 등) 사육농가 및 사육마릿수 자료", "제공 목록 : 년도, 지역, 사육가구 수
농림축산식품부 - 가축 통계 데이터
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본 정보는 축산물품질평가원의 축산물이력정보(소,돼지)와 가축위생방역지원본부(닭,오리 등 기타축종)의 축산농장방역정보를 기반으로 구축된 전국 축산농장에 대한 현황정보입니다. 본 정보는 각 기관의 정보수집 범위 및 주기에 따라 실제 현장정보와 상이할 수 있으니 데이터 활용시 참고하시기 바랍니다.
Jornada Experimental Range (USDA-ARS) monthly stocking data and pasture shape files from 1915 to 1952
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This data package contains two types of data for the Jornada Experimental Range (JER) from 1915 to 1952: 1) shape files containing polygons and attribute tables that represent the pasture configurations on the Jornada Experimental Range and 2) monthly stocking data from these pastures. The livestock represented in the stocking data comprise cattle, horse, sheep, and goats. Grazing goats were infrequent and are grouped with sheep in the source data. As such for this data set, they are included in the sheep category. Stocking data are expressed in animal unit months (AUM), which is based on metabolic weight.This data package provides finer resolution AUM data than knb-lter-jrn.210412001, which presents the annual stocking data for the entire JER from 1916 to 2001. The stocking data in this package begins in June of 1915 and continues through December of 1952, the last year for which the researchers on this project have verified and digitized historical pasture configurations on the JER.https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-jrn&identifier=210412001
Broad-scale analysis of greater sage-grouse population trends in response to grazing in Wyoming, USA (2004-2014), at 3.25 km scale
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The file 'ssm_data_3.25.csv' contains data necessary for analyzing state-space models for male greater sage-grouse (Centrocercus urophasianus) populations in response to grazing level (relative grazing index), timing, and NDVI (Normalized Difference Vegetation Index) in Wyoming, USA. In this case, all covariates were measured within 3.25 km of lek sites.
축산물품질평가원 한육우 시도 사육규모별 농장수 및 마리수
공공데이터포털
축산유통 통계누리에서 제공하고 있는 자료는 출처는 통계청과 가축동향조사를 기반으로 제공되고 있습니다. 한육우 시도 사육규모별 농장수 및 마리수 통계 자료로 분기별 지역별 한우 농장수와 사육두수 조사자료 입니다. 지역별로 확인이 가능하여 농장수와 사육두수 변화의 추이를 알수 있습니다. 시계열 자료로 활용하여 축산정책 수립 등에 활용가능합니다. 제공되는 파일형태는 엑셀과 csv이고 이용자의 목적에 맞게 활용가능합니다. 또한 이용자 편의성 제고를 위해 차트도 활용할수 있는 시각화 자료도 제공중에 있습니다. 데이터를 활용 할 수 있도록 기초분석 결과도 제공하고 있습니다.