scholarly journals HOW ACCURATE ARE FARMERS IN ASSESSING THE GAINS ASSOCIATED WITH QUALITY? THE CASE OF THE MEAT GOAT INDUSTRY

2015 ◽  
Vol 47 (3) ◽  
pp. 411-440 ◽  
Author(s):  
JEFFREY GILLESPIE ◽  
NARAYAN NYAUPANE ◽  
KENNETH McMILLIN

AbstractMeat goat producers were queried to determine subjective estimates of premiums they would receive for slaughter kids of various selection classes. Market-based predicted premium estimates were obtained via regression using published U.S. Department of Agriculture Agricultural Marketing Service data. Subjective versus market-based predicted premium estimates were compared to determine producer accuracy in predicting premiums. Producers tended to overestimate quality premiums. Producers more accurate in their estimates tended to be larger-scale and older and to hold college degrees, sell more slaughter goats via auction, and manage their goats more intensively. Results contribute to the literature on producer accuracy in predicting prices.

2017 ◽  
Vol 50 (1) ◽  
pp. 64-80 ◽  
Author(s):  
JAMES L. MITCHELL ◽  
DERRELL S. PEEL ◽  
B. WADE BRORSEN

AbstractHedonic modeling of Oklahoma cow auction data is used to determine the market value of bred cow characteristics. We use Agricultural Marketing Service data that let us consider more years and more lots of cattle than is typical for a cattle hedonic study. The greatest price premiums were for black, late-gestating cows, categorized as high quality by market reporters and weighing between 1,600 and 1,700 lb. Previous research on optimal cow size finds much smaller-size cows are optimal, and our research finds that larger cows receive a lower price per pound but still receive a substantially higher price per head.


2016 ◽  
Vol 48 (4) ◽  
pp. 345-365 ◽  
Author(s):  
KAYODE AJEWOLE ◽  
TED C. SCHROEDER ◽  
JOE PARCELL

AbstractThin markets create challenges for reporting market information by the U.S. Department of Agriculture (USDA) and for users of the information. This study examines distributions of transactions comprising daily price reports in the U.S. hog market. We determine publicly reported daily prices are sensitive to which packing plants buy hogs. Transaction prices comprising USDA Agricultural Marketing Service price reports are not normally distributed; care must be taken in reporting and interpreting transaction prices. Economically important variations in prices occur because of packer-specific indicators. Daily reported prices are used as base prices in marketing agreements, making variation of even greater importance.


1976 ◽  
Vol 59 (1) ◽  
pp. 122-124
Author(s):  
Odette L Shotwell ◽  
Marion L Goulden ◽  
Clifford W Hesseltine

Abstract A total of 291 hard red winter wheat samples, 286 hard red spring wheat samples, and 271 soft red winter wheat samples were analyzed for the presence of ochratoxin and aflatoxin. Samples in all grades came from those collected during crop years 1970–1973 for grade determinations by the Agricultural Marketing Service, U.S. Department of Agriculture. Sensitivity limits of the analytical method as carried out were 1–3 ppb aflatoxin B1 and 15–30 ppb ochratoxin A. No aflatoxin was detected in any sample. Three samples of hard red winter wheat (Grades U.S. No. 4 and 5 and Sample Grade) contained ochratoxin A (trace, 35, and 25 ppb, respectively). Eight of the hard red spring wheats contained ochratoxin A (15-115 ppb); these were in Grades U.S. No. 4 and 5 and Sample Grade.


EDIS ◽  
1969 ◽  
Vol 2004 (4) ◽  
Author(s):  
James J. Ferguson

The National Organic Program (NOP) under the direction of the Agricultural Marketing Service, United States Department of Agriculture was established to "facilitate domestic and international marketing of fresh and processed food that is organically produced and assure consumers that such products meet consistent, uniform standards." The final rule of the National Organic Program covers production, packing and processing, marketing, retailing, and other aspects of organic operations. Given the complexity of regulatory aspects of the National Organic Program, a set of definitions (107 terms) has been developed to clarify the meaning of specific words and phrases. This set of definitions is included here to make this information more easily accessible. This document is HS963, one of a series of the Horticultural Sciences Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Publication date: January 2004. https://edis.ifas.ufl.edu/hs209


2016 ◽  
Vol 87 (8) ◽  
pp. 891-901 ◽  
Author(s):  
Derek P Whitelock ◽  
S Ed Hughs ◽  
Carlos B Armijo

Cotton extraneous matter (EM) and special conditions are the only cotton quality attributes still determined manually by US Department of Agriculture Agricultural Marketing Service (USDA-AMS) classers. To develop a machine EM classing system, a better understanding of what triggers a classer EM call is needed. The goal of this work was to develop new information about cotton EM, such as bark and grass, and leaf particles, using machine measurements, to aid in the development of instrumentation for cotton quality measurements. AMS classers were tasked in identifying and denoting bark/grass in large-area color images of cotton samples. Image segmentation analysis was applied to detect non-cotton items, such as leaf particles, and the classer denoted bark/grass objects were segmented manually. Further image analysis was used to measure shape and color parameters of these bark/grass objects and leaf particles in the sample images. These measurements of the bark/grass objects and leaf particles were compared and logistical regression analyses conducted to evaluate classification. For every shape and color parameter, there were significant differences between the bark/grass objects and the detected leaf particles in the images. The differences were greater for the shape parameters than for the color parameters. A classification model with shape, color, and log-transformed shape parameters consistently classified the bark/grass objects and leaf particles most accurately with 99.5% and 97.6% correct classification rate, respectively. However, classification models that were 99% correct classifying manually segmented bark/grass were only about 77% correct when applied to the machine detected bark/grass particles.


1940 ◽  
Vol 34 (5) ◽  
pp. 959-963
Author(s):  
L. F. Schmeckebier

As in previous lists, mention is here confined generally to units specifically authorized by law or established by the President by executive order or Reorganization Plans under general authority vested in him. Changes in units created by heads of departments or independent establishments are excluded unless of major importance.Administration of Insecticide Act and Naval Stores Act. Transferred to Agricultural Marketing Service from Food and Drug Administration by Order 865 of the Secretary of Agriculture of June 19, 1940, effective June 30, 1940.Advisory Commission to Council of National Defense. On May 28, 1940, the President announced the creation of an Advisory Commission to the Council of National Defense, although the official nomination of members by the Council did not appear until the publication of the Federal Register for June 26. The Council consists of the Secretaries of War, Navy, Interior, Commerce, Agriculture, and Labor, and the act of August 29, 1916 (39 Stat. L. 649),authorizes it to nominate and the President to appoint an advisory commission. The members of the Commission receive no compensation, but are reimbursed for expenses.


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