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Integrating agronomic and economic perspectives into the diagnostic stage of on-farm research

By: Contributor(s): Material type: ArticleArticleLanguage: English Publication details: Cambridge (United Kingdom) : Cambridge University Press, 1991.ISSN:
  • 1469-4441 (Online)
  • 0014-4797
Subject(s): Online resources: In: Experimental Agriculture v. 27, no. 2, p. 95-114617398, 619542Summary: Crop production surveys, which integrate the collection of data on both agronomic and economic variables, are increasingly common in on-farm research. A conceptual framework for designing and analysing such surveys is provided. Methodological issues in conducting crop production surveys are reviewed with respect to type of information collected, level of field observation, degree of quantification, frequency of observation, sampling, measurement of yields and yield components, and analysis of yield limiting factors. It is concluded that, while better integration of agronomic and economic perspectives in diagnosis may increase costs, the information and analysis obtained have considerable potential to improve the efficiency of experimentation.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Article CIMMYT Knowledge Center: John Woolston Library CIMMYT Staff Publications Collection CIS-1505 (Browse shelf(Opens below)) 1 Available 617398
Article CIMMYT Knowledge Center: John Woolston Library CIMMYT Staff Publications Collection CIS-1505 (Browse shelf(Opens below)) 2 Available 619542
Total holds: 0

Peer review

Abstract in English and Spanish, tables, graphs, references p. 112-114

Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0014-4797

Crop production surveys, which integrate the collection of data on both agronomic and economic variables, are increasingly common in on-farm research. A conceptual framework for designing and analysing such surveys is provided. Methodological issues in conducting crop production surveys are reviewed with respect to type of information collected, level of field observation, degree of quantification, frequency of observation, sampling, measurement of yields and yield components, and analysis of yield limiting factors. It is concluded that, while better integration of agronomic and economic perspectives in diagnosis may increase costs, the information and analysis obtained have considerable potential to improve the efficiency of experimentation.

Text in English

R100ECO|EP|MP|EconomicsPubs|11525-R|3

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