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Adaptability analysis in a participatory variety trial of organic vegetable crops

Published online by Cambridge University Press:  08 January 2019

Alexandra Lyon Open the ORCID record for Alexandra Lyon [Opens in a new window] ,
William Tracy Open the ORCID record for William Tracy [Opens in a new window] ,
Micaela Colley ,
Patrick Culbert ,
Michael Mazourek Open the ORCID record for Michael Mazourek [Opens in a new window] ,
James Myers Open the ORCID record for James Myers [Opens in a new window] ,
Jared Zystro  and
Erin M. Silva
Alexandra Lyon*
Affiliation:
University of Wisconsin-Madison, Madison, WI, USA University of British Columbia, Vancouver, BC, Canada
William Tracy
Affiliation:
University of Wisconsin-Madison, Madison, WI, USA
Micaela Colley
Affiliation:
Wageningen University, Wageningen, Netherlands
Patrick Culbert
Affiliation:
University of British Columbia, Vancouver, BC, Canada
Michael Mazourek
Affiliation:
Cornell University, Ithaca, NY, USA
James Myers
Affiliation:
Oregon State University, Corvallis, OR, USA
Jared Zystro
Affiliation:
University of Wisconsin-Madison, Madison, WI, USA
Erin M. Silva
Affiliation:
University of Wisconsin-Madison, Madison, WI, USA
*
Author for correspondence: Alexandra Lyon, E-mail: alexandra.lyon@ubc.ca
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Abstract

Successful organic farming requires crop varieties that are resilient to environmental variability. Assessing variety performance across the range of conditions represented on working farms is vital to developing such varieties; however, data collected from on-farm, participatory trials can be difficult to both collect and interpret. To assess the utility of data arising from participatory trialing efforts, we examined the performance of butternut squash (Cucurbita moschata L.), broccoli (Brassica oleracea L.) and carrot (Daucus carota L.) varieties grown in diverse organic production environments in participatory trials in Oregon, Washington, Wisconsin and New York using adaptability analysis (regression of variety means on environmental index). Patterns of adaptation varied across varieties, with some demonstrating broad adaptation and others showing specific adaptation to low- or high-yielding environments. Selection of varieties with broad vs specific adaptation should be guided by farmers’ risk tolerance and on-farm environmental variation. Adaptability analysis was appropriate for continuous variables (e.g., yield traits), but less so for ordinal variables and quality traits such as flavor and appearance, which can be vitally important in organic vegetable crop variety selection. The relative advantages of adaptability analysis and additive main effects and multiplicative interactions are also discussed in relation to on-farm trial networks. This work demonstrated the unique challenges presented by extensive participatory vegetable trialing efforts, which, as compared to grain crops, require novel approaches to facilitating farmer participation as well as data collection and analysis. Efficient, precise and reliable methods for evaluating quality related traits in these crops would allow researchers to assess stability and adaptation across a wider range of traits, providing advantages for effective plant breeding and trialing activities within the organic sector.

Keywords

On-farm researchorganic agricultureparticipatory variety selectionseed systemsvegetable production
Type
Research Paper
Information
Renewable Agriculture and Food Systems , Volume 35 , Issue 3 , June 2020 , pp. 296 - 312
Copyright
Copyright © Cambridge University Press 2019

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Footnotes

*

Current address: University of British Columbia, 2357 Main Mall, Vancouver, BC, V6 T 1Z4, Canada.

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