Opportunities and issues for biometry in a rapidly changing environment

Changes in the environment demand changes in the practice of biometry. Classical on-station researcher-managed trials and associated assumptions are restricted in scope, and are getting old-&shinned. Indeed on-station trials are gradually giving way In on-farm farmer participatory trials, which inco...

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Main Authors: Nokoe, S., Ojurongbe, T., Bamiduro, T.
Format: Conference Paper
Language:Inglés
Published: 2000
Subjects:
Online Access:https://hdl.handle.net/10568/92675
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author Nokoe, S.
Ojurongbe, T.
Bamiduro, T.
author_browse Bamiduro, T.
Nokoe, S.
Ojurongbe, T.
author_facet Nokoe, S.
Ojurongbe, T.
Bamiduro, T.
author_sort Nokoe, S.
collection Repository of Agricultural Research Outputs (CGSpace)
description Changes in the environment demand changes in the practice of biometry. Classical on-station researcher-managed trials and associated assumptions are restricted in scope, and are getting old-&shinned. Indeed on-station trials are gradually giving way In on-farm farmer participatory trials, which incorporate the interaction nature of the environment and other farmer social and economic circumstances. Environmental issues that are being addressed goes beyond designs and conventional estimation of the effects of treatments. For instance, evaluation of 'fisheries' trials incorporates and analyses fur possible effect and sources of efficient (If location is in an oil-producing area), and water pollution. Crop trials involving the use of wood stakes (as in yam studies) or livestock grazing studies must regularly analyze the effects on furriest and soil degradation. Tools for such estimations need In be developed jointly by the environmentalist and statistician.
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spelling CGSpace926752023-06-08T19:44:42Z Opportunities and issues for biometry in a rapidly changing environment Nokoe, S. Ojurongbe, T. Bamiduro, T. biometry environmental impact assessment spatial statistics stochastic modelling Changes in the environment demand changes in the practice of biometry. Classical on-station researcher-managed trials and associated assumptions are restricted in scope, and are getting old-&shinned. Indeed on-station trials are gradually giving way In on-farm farmer participatory trials, which incorporate the interaction nature of the environment and other farmer social and economic circumstances. Environmental issues that are being addressed goes beyond designs and conventional estimation of the effects of treatments. For instance, evaluation of 'fisheries' trials incorporates and analyses fur possible effect and sources of efficient (If location is in an oil-producing area), and water pollution. Crop trials involving the use of wood stakes (as in yam studies) or livestock grazing studies must regularly analyze the effects on furriest and soil degradation. Tools for such estimations need In be developed jointly by the environmentalist and statistician. 2000 2018-05-17T09:03:03Z 2018-05-17T09:03:03Z Conference Paper https://hdl.handle.net/10568/92675 en Limited Access Nokoe, S., Ojurongbe, T. & Bamiduro, T. (2000). Opportunities and issues for biometry in a rapidly changing environment. In proceedings of the SUSAN-IBS scientific workshop,"Biometry and Quality of Life", 23-28 August, 1999, Ibadan, Nigeria: IITA, (p. 11-19).
spellingShingle biometry
environmental impact assessment
spatial statistics
stochastic modelling
Nokoe, S.
Ojurongbe, T.
Bamiduro, T.
Opportunities and issues for biometry in a rapidly changing environment
title Opportunities and issues for biometry in a rapidly changing environment
title_full Opportunities and issues for biometry in a rapidly changing environment
title_fullStr Opportunities and issues for biometry in a rapidly changing environment
title_full_unstemmed Opportunities and issues for biometry in a rapidly changing environment
title_short Opportunities and issues for biometry in a rapidly changing environment
title_sort opportunities and issues for biometry in a rapidly changing environment
topic biometry
environmental impact assessment
spatial statistics
stochastic modelling
url https://hdl.handle.net/10568/92675
work_keys_str_mv AT nokoes opportunitiesandissuesforbiometryinarapidlychangingenvironment
AT ojurongbet opportunitiesandissuesforbiometryinarapidlychangingenvironment
AT bamidurot opportunitiesandissuesforbiometryinarapidlychangingenvironment