MURRAY LARK MURRAY.LARK@NOTTINGHAM.AC.UK
Professor of Geoinformatics
Longitudinal analysis of a long-Term conservation agriculture experiment in Malawi and lessons for future experimental design
Lark, R. M.; Ligowe, I. S.; Thierfelder, C.; Magwero, N.; Namaona, W.; Njira, K.; Sandram, I.; Chimungu, J. G.; Nalivata, P. C.
Authors
I. S. Ligowe
C. Thierfelder
N. Magwero
W. Namaona
K. Njira
I. Sandram
J. G. Chimungu
P. C. Nalivata
Abstract
Resilient cropping systems are required to achieve food security in the presence of climate change, and so several long-Term conservation agriculture (CA) trials have been established in southern Africa-one of them at the Chitedze Agriculture Research Station in Malawi in 2007. The present study focused on a longitudinal analysis of 10 years of data from the trial to better understand the joint effects of variations between the seasons and particular contrasts among treatments on yield of maize. Of further interest was the variability of treatment responses in time and space and the implications for design of future trials with adequate statistical power. The analysis shows treatment differences of the mean effect which vary according to cropping season. There was a strong treatment effect between rotational treatments and other treatments and a weak effect between intercropping and monocropping. There was no evidence for an overall advantage of systems where residues are retained (in combination with direct seeding or planting basins) over conventional management with respect to maize yield. A season effect was evident although the strong benefit of rotation in El Niño season was also reduced, highlighting the strong interaction between treatment and climatic conditions. The power analysis shows that treatment effects of practically significant magnitude may be unlikely to be detected with just four replicates, as at Chitedze, under either a simple randomised control trial or a factorial experiment. Given logistical and financial constraints, it is important to design trials with fewer treatments but more replicates to gain enough statistical power and to pay attention to the selection of treatments to given an informative outcome.
Citation
Lark, R. M., Ligowe, I. S., Thierfelder, C., Magwero, N., Namaona, W., Njira, K., …Nalivata, P. C. (2020). Longitudinal analysis of a long-Term conservation agriculture experiment in Malawi and lessons for future experimental design. Experimental Agriculture, 56(4), 506-527. https://doi.org/10.1017/S0014479720000125
Journal Article Type | Article |
---|---|
Acceptance Date | May 27, 2020 |
Online Publication Date | Jul 13, 2020 |
Publication Date | Jul 13, 2020 |
Deposit Date | Nov 3, 2023 |
Publicly Available Date | Nov 22, 2023 |
Journal | Experimental Agriculture |
Print ISSN | 0014-4797 |
Electronic ISSN | 1469-4441 |
Publisher | Cambridge University Press |
Peer Reviewed | Peer Reviewed |
Volume | 56 |
Issue | 4 |
Pages | 506-527 |
DOI | https://doi.org/10.1017/S0014479720000125 |
Keywords | Agronomy and Crop Science |
Public URL | https://nottingham-repository.worktribe.com/output/4773203 |
Publisher URL | https://www.cambridge.org/core/journals/experimental-agriculture/article/longitudinal-analysis-of-a-longterm-conservation-agriculture-experiment-in-malawi-and-lessons-for-future-experimental-design/1497F7297CCDDCC33180F03DA6EBFE16 |
Additional Information | Copyright: © The Author(s), 2020. Published by Cambridge University Press; License: This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
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