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Estimation of the Optimal Number of Replicates in Crop Variety Trials

Replicated multi-location yield trials are conducted every year in all regions throughout the world for all regionally important crops. Heritability, i.e., selection accuracy based on variety trials, improves with increased number of replicates. However, each replicate is associated with considerabl...

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Autor principal: Yan, Weikai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838102/
https://www.ncbi.nlm.nih.gov/pubmed/33519847
http://dx.doi.org/10.3389/fpls.2020.590762
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author Yan, Weikai
author_facet Yan, Weikai
author_sort Yan, Weikai
collection PubMed
description Replicated multi-location yield trials are conducted every year in all regions throughout the world for all regionally important crops. Heritability, i.e., selection accuracy based on variety trials, improves with increased number of replicates. However, each replicate is associated with considerable cost. Therefore, it is important for crop variety trials to be optimally replicated. Based on the theory of quantitative genetics, functions that quantitatively define optimal replication on the single-trial basis and on multi-location trial basis were derived. The function on the single-trial basis often over-estimates the optimum number of replicates; it is the function on multi-location trial basis that is recommended for determining the optimal number of replicates. Applying the latter function to the yield data from the 2015–2019 Ottawa oat registration trials conducted both in Ontario and in other provinces of Canada led to the conclusion that a single replicate or two replicates would have sufficed under the current multi-location trial setup. This conclusion was empirically confirmed by comparing genotypic rankings based on all replicates with that on any two replicates. Use of two replicates can save 33–50% of field plots without affecting the selection efficacy.
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spelling pubmed-78381022021-01-28 Estimation of the Optimal Number of Replicates in Crop Variety Trials Yan, Weikai Front Plant Sci Plant Science Replicated multi-location yield trials are conducted every year in all regions throughout the world for all regionally important crops. Heritability, i.e., selection accuracy based on variety trials, improves with increased number of replicates. However, each replicate is associated with considerable cost. Therefore, it is important for crop variety trials to be optimally replicated. Based on the theory of quantitative genetics, functions that quantitatively define optimal replication on the single-trial basis and on multi-location trial basis were derived. The function on the single-trial basis often over-estimates the optimum number of replicates; it is the function on multi-location trial basis that is recommended for determining the optimal number of replicates. Applying the latter function to the yield data from the 2015–2019 Ottawa oat registration trials conducted both in Ontario and in other provinces of Canada led to the conclusion that a single replicate or two replicates would have sufficed under the current multi-location trial setup. This conclusion was empirically confirmed by comparing genotypic rankings based on all replicates with that on any two replicates. Use of two replicates can save 33–50% of field plots without affecting the selection efficacy. Frontiers Media S.A. 2021-01-13 /pmc/articles/PMC7838102/ /pubmed/33519847 http://dx.doi.org/10.3389/fpls.2020.590762 Text en Copyright © 2021 Yan, as represented by Agriculture and Agri-Food Canada (AAFC). http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Yan, Weikai
Estimation of the Optimal Number of Replicates in Crop Variety Trials
title Estimation of the Optimal Number of Replicates in Crop Variety Trials
title_full Estimation of the Optimal Number of Replicates in Crop Variety Trials
title_fullStr Estimation of the Optimal Number of Replicates in Crop Variety Trials
title_full_unstemmed Estimation of the Optimal Number of Replicates in Crop Variety Trials
title_short Estimation of the Optimal Number of Replicates in Crop Variety Trials
title_sort estimation of the optimal number of replicates in crop variety trials
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838102/
https://www.ncbi.nlm.nih.gov/pubmed/33519847
http://dx.doi.org/10.3389/fpls.2020.590762
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