Evaluating and adapting new technologies in a high-risk agricultural system - Niger

This study modeled the introduction of new early cultivars of millet and cowpea, higher cowpea densities, and various fertilization strategies. Model results were then compared with farmer behaviour before and after the availability of these new technologies. The model correctly identified the two new technologies being adopted by farmers. Then further runs of the adaptive model identified several research-extension strategies to increase the adoption of fertilization. Some recommendations to researchers and extension agents were made. The intraseasonal adaptive decision-making process of farmers was modeled with a one-year, discrete stochastic sequential programming whole-farm model.

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Bibliographic Details
Main Authors: Shapiro, Barry I., Sanders, J.H., Reddy, K.C., Baker, T.G.
Format: Journal Article biblioteca
Language:English
Published: Elsevier 1993-01
Subjects:farming systems, technology, models, farmers, innovation adoption, cowpeas, millets, decision making, income, fertilizers, application methods, cultivars, agricultural policies,
Online Access:https://hdl.handle.net/10568/28092
https://doi.org/10.1016/0308-521X(93)90073-B
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spelling dig-cgspace-10568-280922023-12-08T19:36:04Z Evaluating and adapting new technologies in a high-risk agricultural system - Niger Shapiro, Barry I. Sanders, J.H. Reddy, K.C. Baker, T.G. farming systems technology models farmers innovation adoption cowpeas millets decision making income fertilizers application methods cultivars agricultural policies This study modeled the introduction of new early cultivars of millet and cowpea, higher cowpea densities, and various fertilization strategies. Model results were then compared with farmer behaviour before and after the availability of these new technologies. The model correctly identified the two new technologies being adopted by farmers. Then further runs of the adaptive model identified several research-extension strategies to increase the adoption of fertilization. Some recommendations to researchers and extension agents were made. The intraseasonal adaptive decision-making process of farmers was modeled with a one-year, discrete stochastic sequential programming whole-farm model. 1993-01 2013-05-06T06:59:54Z 2013-05-06T06:59:54Z Journal Article Agricultural Systems;42(1&2): 153-171 0308-521X https://hdl.handle.net/10568/28092 https://doi.org/10.1016/0308-521X(93)90073-B en Copyrighted; all rights reserved Limited Access p. 153-171 Elsevier Agricultural Systems
institution CGIAR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cgspace
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CGIAR
language English
topic farming systems
technology
models
farmers
innovation adoption
cowpeas
millets
decision making
income
fertilizers
application methods
cultivars
agricultural policies
farming systems
technology
models
farmers
innovation adoption
cowpeas
millets
decision making
income
fertilizers
application methods
cultivars
agricultural policies
spellingShingle farming systems
technology
models
farmers
innovation adoption
cowpeas
millets
decision making
income
fertilizers
application methods
cultivars
agricultural policies
farming systems
technology
models
farmers
innovation adoption
cowpeas
millets
decision making
income
fertilizers
application methods
cultivars
agricultural policies
Shapiro, Barry I.
Sanders, J.H.
Reddy, K.C.
Baker, T.G.
Evaluating and adapting new technologies in a high-risk agricultural system - Niger
description This study modeled the introduction of new early cultivars of millet and cowpea, higher cowpea densities, and various fertilization strategies. Model results were then compared with farmer behaviour before and after the availability of these new technologies. The model correctly identified the two new technologies being adopted by farmers. Then further runs of the adaptive model identified several research-extension strategies to increase the adoption of fertilization. Some recommendations to researchers and extension agents were made. The intraseasonal adaptive decision-making process of farmers was modeled with a one-year, discrete stochastic sequential programming whole-farm model.
format Journal Article
topic_facet farming systems
technology
models
farmers
innovation adoption
cowpeas
millets
decision making
income
fertilizers
application methods
cultivars
agricultural policies
author Shapiro, Barry I.
Sanders, J.H.
Reddy, K.C.
Baker, T.G.
author_facet Shapiro, Barry I.
Sanders, J.H.
Reddy, K.C.
Baker, T.G.
author_sort Shapiro, Barry I.
title Evaluating and adapting new technologies in a high-risk agricultural system - Niger
title_short Evaluating and adapting new technologies in a high-risk agricultural system - Niger
title_full Evaluating and adapting new technologies in a high-risk agricultural system - Niger
title_fullStr Evaluating and adapting new technologies in a high-risk agricultural system - Niger
title_full_unstemmed Evaluating and adapting new technologies in a high-risk agricultural system - Niger
title_sort evaluating and adapting new technologies in a high-risk agricultural system - niger
publisher Elsevier
publishDate 1993-01
url https://hdl.handle.net/10568/28092
https://doi.org/10.1016/0308-521X(93)90073-B
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