Use of the partial farm budget technique to predict the economic impact of the flock management decision to use B-mode ultrasonographic pregnancy diagnosis.

D. J. Sprecher, W. B. Ley, W. D. Whittier, J. M. Bowen, Craig Thatcher, K. D. Pelzer, J. M. Moore

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

A computer spreadsheet was developed to predict the economic impact of a management decision to use B-mode ultrasonographic ovine pregnancy diagnosis. The spreadsheet design and spreadsheet cell formulas are provided. The program used the partial farm budget technique to calculate net return (NR) or cash flow changes that resulted from the decision to use ultrasonography. Using the program, either simple pregnancy diagnosis or pregnancy diagnosis with the ability to determine singleton or multiple pregnancies may be compared with no flock ultrasonographic pregnancy diagnosis. A wide range of user-selected regional variables are used to calculate the cash flow changes associated with the ultrasonography decisions. A variable may be altered through a range of values to conduct a sensitivity analysis of predicted NR. Example sensitivity analyses are included for flock conception rate, veterinary ultrasound fee, and the price of corn. Variables that influence the number of cull animals and the cost of ultrasonography have the greatest impact on predicted NR. Because the determination of singleton or multiple pregnancies is more time consuming, its economic practicality in comparison with simple pregnancy diagnosis is questionable. The value of feed saved by identifying and separately feeding ewes with singleton pregnancies is not offset by the increased ultrasonography cost.

Original languageEnglish (US)
Pages (from-to)199-204
Number of pages6
JournalJournal of the American Veterinary Medical Association
Volume195
Issue number2
StatePublished - Jul 15 1989
Externally publishedYes

Fingerprint

farm budgets
pregnancy diagnosis
Budgets
economic impact
flocks
ultrasonography
Economics
Pregnancy
Ultrasonography
pregnancy
Multiple Pregnancy
methodology
Costs and Cost Analysis
conception rate
Fees and Charges
ewes
nutritive value
Zea mays
Farms
Sheep

ASJC Scopus subject areas

  • veterinary(all)

Cite this

Use of the partial farm budget technique to predict the economic impact of the flock management decision to use B-mode ultrasonographic pregnancy diagnosis. / Sprecher, D. J.; Ley, W. B.; Whittier, W. D.; Bowen, J. M.; Thatcher, Craig; Pelzer, K. D.; Moore, J. M.

In: Journal of the American Veterinary Medical Association, Vol. 195, No. 2, 15.07.1989, p. 199-204.

Research output: Contribution to journalArticle

@article{d1b3bce6be7446fc93f782f9b80a729f,
title = "Use of the partial farm budget technique to predict the economic impact of the flock management decision to use B-mode ultrasonographic pregnancy diagnosis.",
abstract = "A computer spreadsheet was developed to predict the economic impact of a management decision to use B-mode ultrasonographic ovine pregnancy diagnosis. The spreadsheet design and spreadsheet cell formulas are provided. The program used the partial farm budget technique to calculate net return (NR) or cash flow changes that resulted from the decision to use ultrasonography. Using the program, either simple pregnancy diagnosis or pregnancy diagnosis with the ability to determine singleton or multiple pregnancies may be compared with no flock ultrasonographic pregnancy diagnosis. A wide range of user-selected regional variables are used to calculate the cash flow changes associated with the ultrasonography decisions. A variable may be altered through a range of values to conduct a sensitivity analysis of predicted NR. Example sensitivity analyses are included for flock conception rate, veterinary ultrasound fee, and the price of corn. Variables that influence the number of cull animals and the cost of ultrasonography have the greatest impact on predicted NR. Because the determination of singleton or multiple pregnancies is more time consuming, its economic practicality in comparison with simple pregnancy diagnosis is questionable. The value of feed saved by identifying and separately feeding ewes with singleton pregnancies is not offset by the increased ultrasonography cost.",
author = "Sprecher, {D. J.} and Ley, {W. B.} and Whittier, {W. D.} and Bowen, {J. M.} and Craig Thatcher and Pelzer, {K. D.} and Moore, {J. M.}",
year = "1989",
month = "7",
day = "15",
language = "English (US)",
volume = "195",
pages = "199--204",
journal = "Journal of the American Veterinary Medical Association",
issn = "0003-1488",
publisher = "American Veterinary Medical Association",
number = "2",

}

TY - JOUR

T1 - Use of the partial farm budget technique to predict the economic impact of the flock management decision to use B-mode ultrasonographic pregnancy diagnosis.

AU - Sprecher, D. J.

AU - Ley, W. B.

AU - Whittier, W. D.

AU - Bowen, J. M.

AU - Thatcher, Craig

AU - Pelzer, K. D.

AU - Moore, J. M.

PY - 1989/7/15

Y1 - 1989/7/15

N2 - A computer spreadsheet was developed to predict the economic impact of a management decision to use B-mode ultrasonographic ovine pregnancy diagnosis. The spreadsheet design and spreadsheet cell formulas are provided. The program used the partial farm budget technique to calculate net return (NR) or cash flow changes that resulted from the decision to use ultrasonography. Using the program, either simple pregnancy diagnosis or pregnancy diagnosis with the ability to determine singleton or multiple pregnancies may be compared with no flock ultrasonographic pregnancy diagnosis. A wide range of user-selected regional variables are used to calculate the cash flow changes associated with the ultrasonography decisions. A variable may be altered through a range of values to conduct a sensitivity analysis of predicted NR. Example sensitivity analyses are included for flock conception rate, veterinary ultrasound fee, and the price of corn. Variables that influence the number of cull animals and the cost of ultrasonography have the greatest impact on predicted NR. Because the determination of singleton or multiple pregnancies is more time consuming, its economic practicality in comparison with simple pregnancy diagnosis is questionable. The value of feed saved by identifying and separately feeding ewes with singleton pregnancies is not offset by the increased ultrasonography cost.

AB - A computer spreadsheet was developed to predict the economic impact of a management decision to use B-mode ultrasonographic ovine pregnancy diagnosis. The spreadsheet design and spreadsheet cell formulas are provided. The program used the partial farm budget technique to calculate net return (NR) or cash flow changes that resulted from the decision to use ultrasonography. Using the program, either simple pregnancy diagnosis or pregnancy diagnosis with the ability to determine singleton or multiple pregnancies may be compared with no flock ultrasonographic pregnancy diagnosis. A wide range of user-selected regional variables are used to calculate the cash flow changes associated with the ultrasonography decisions. A variable may be altered through a range of values to conduct a sensitivity analysis of predicted NR. Example sensitivity analyses are included for flock conception rate, veterinary ultrasound fee, and the price of corn. Variables that influence the number of cull animals and the cost of ultrasonography have the greatest impact on predicted NR. Because the determination of singleton or multiple pregnancies is more time consuming, its economic practicality in comparison with simple pregnancy diagnosis is questionable. The value of feed saved by identifying and separately feeding ewes with singleton pregnancies is not offset by the increased ultrasonography cost.

UR - http://www.scopus.com/inward/record.url?scp=0024970821&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024970821&partnerID=8YFLogxK

M3 - Article

VL - 195

SP - 199

EP - 204

JO - Journal of the American Veterinary Medical Association

JF - Journal of the American Veterinary Medical Association

SN - 0003-1488

IS - 2

ER -