Skip navigation

Millet crop-loss assessment methods (NRI Bulletin 62)

Millet crop-loss assessment methods (NRI Bulletin 62)

Jago, N.D. (1993) Millet crop-loss assessment methods (NRI Bulletin 62). [Working Paper]

[img]
Preview
PDF (english version)
Doc-0151.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (31MB)
[img]
Preview
PDF (french version)
Doc-0152.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (39MB)

Abstract

At present, losses to the millet crop of Sahelian subsistence farmers are seldom adequately monitored, yet an assessment of such losses is essential in evaluating the effects of and need for different farming inputs and methods. Millet Crop-Loss Assessment Methods offers a range of assessment techniques, each presented as a sequence of steps, including sampling, calculation interpretation and comparative accuracy. Choice of the most appropriate method will depend on government or farmer needs, time constraints and available skills. This publication will be of interest to all those involved in practical agricultural research and extension work in semi-arid areas, either at the level of the individual farmer or village or at the regional and national level of policy evaluation.

Item Type: Working Paper
Additional Information: [1] ISBN: 0-85954-354-4
Uncontrolled Keywords: millet, crop-loss assessment, postharvest loss, sahel, subsistence farming, grain loss, insect pests, fungal pathogen, grasshopper, flower chafer, millet head miner, meloid blister beetle, millet stem borer, assessment technique, sampling
Faculty / Department / Research Group: Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Agriculture, Health & Environment Department
Faculty of Engineering & Science
Related URLs:
Last Modified: 25 Sep 2015 16:19
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/11089

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics