Optimizing multi-environment testing in potato breeding: using heritability estimates to determine number of replications, sites, and years for field trials

dc.creatorOrtiz, R.
dc.creatorReslow, F.
dc.creatorHuicho, J.
dc.creatorVetukuri, R.R.
dc.creatorCrossa, J.
dc.date2023-05-03T20:10:11Z
dc.date2023-05-03T20:10:11Z
dc.date2023
dc.date.accessioned2023-07-17T20:10:34Z
dc.date.available2023-07-17T20:10:34Z
dc.identifierhttps://hdl.handle.net/10883/22588
dc.identifier10.1007/s10681-023-03174-5
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7514331
dc.descriptionMulti-environment trials (METs) of potato breeding clones and cultivars allow to precisely determine their performance across testing sites over years. However, these METs may be affected by the genotype × environment interaction (GEI) as noted in tuber yield. Furthermore, trials are replicated several times to optimize the predictive value of the data collected because knowledge on spatial and temporal variability of testing environments is often lacking. Hence, the objectives of this research were to use components of variance from METs to estimate broad sense heritability (H2) based on best linear unbiased predictors and use these estimates to determine the optimum number of sites, years, and replications for testing potato breeding clones along with cultivars. The data were taken from METs in southern and northern Sweden comprising up to 256 breeding clones and cultivars that underwent testing using a simple lattice design of 10-plant plots across three sites over 2 years. Percentage starch in the tuber flesh had the largest H2 in each testing environment (0.850–0.976) or across testing environments (0.905–0.921). Total tuber weight per plot also exhibited high H2 (0.720–0.919) in each testing environment or across them (0.726–0.852), despite a significant GEI. Reducing sugar content in the tuber flesh had the lowest, but still medium H2 (0.426–0.883 in each testing environment; 0.718–0.818 across testing environments). The H2 estimates were smaller when their variance components were disaggregated by year and site, instead of lumping them as environments. Simulating H2 with genetic, site, year, site × year, genetic × site, genetic × year, genetic × site × year, and residual variance components led to establish that two replicates at each of two sites in 2-year trials will suffice for testing tuber yield, starch and reducing sugars. This article provides a methodology to optimize the number of testing size and years for METs of potato breeding materials, as well as tabulated information for choosing the appropriate number of trials in same target population of environments.
dc.languageEnglish
dc.publisherSpringer Netherlands
dc.relationhttps://hdl.handle.net/11529/10548617
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
dc.rightsOpen Access
dc.source4
dc.source219
dc.source0014-2336
dc.sourceEuphytica
dc.source48
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectCultivar Development
dc.subjectEarly Stage Selection
dc.subjectMulti-Site Trials
dc.subjectVariance Components
dc.subjectBROAD-SENSE HERITABILITY
dc.subjectEARLY SELECTION
dc.subjectSOLANUM TUBEROSUM
dc.subjectTESTING
dc.subjectBREEDING
dc.subjectGenetic Resources
dc.titleOptimizing multi-environment testing in potato breeding: using heritability estimates to determine number of replications, sites, and years for field trials
dc.typeArticle
dc.typePublished Version
dc.coverageDordrecht (Netherlands)


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