Optimal Plot Dimensions for Performance Testing of Hybrid Potato in the Field

Stockem, Julia E.; Korontzis, George; Wilson, Stefan; Vries, Michiel E. de; Eeuwijk, F.A. van; Struik, P.C.

doi:10.1007/s11540-021-09526-9

Cited by 12 publications

(14 citation statements)

References 44 publications

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“…In 2017, a diversity panel of 147 tetraploid potato cultivars, and a set of 222 diploid potato hybrids derived from 118 diploid parents, were tested in three locations (the Netherlands, Poland and Spain). Plots consisted of 8 plants (2 ridges of 4 plants), which may seem low, but even at this level we can sufficiently detect differences between genotypes for tuber related traits (Stockem et al, 2022). These plots were separated by border plants.…”

Section: Phenotypic Informationmentioning

confidence: 98%

Statistical considerations for applying genomic prediction to potato

Wilson

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Training set construction is an important prerequisite to Genomic Prediction (GP), and while this has been studied in diploids, polyploids have not received the same attention. Polyploidy is a common feature in many crop plants, like for example banana and blueberry, but also potato which is the third most important crop in the world in terms of food consumption, after rice and wheat. The aim of this study was to investigate the impact of different training set construction methods using a publicly available diversity panel of tetraploid potatoes. Four methods of training set construction were compared: simple random sampling, stratified random sampling, genetic distance sampling and sampling based on the coefficient of determination (CDmean). For stratified random sampling, population structure analyses were carried out in order to define sub-populations, but since sub-populations accounted for only 16.6% of genetic variation, there were negligible differences between stratified and simple random sampling. For genetic distance sampling, four genetic distance measures were compared and though they performed similarly, Euclidean distance was the most consistent. In the majority of cases the CDmean method was the best sampling method, and compared to simple random sampling gave improvements of 4 to 14% in cross-validation scenarios, and 2 to 8% in scenarios with an independent test set, while genetic distance sampling gave improvements of 5.5 to 10.5% and 0.4 to 4.5%. No interaction was found between sampling method and the statistical model for the traits analysed.

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Section: Phenotypic Informationmentioning

confidence: 98%

Statistical considerations for applying genomic prediction to potato

Wilson

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“…In its consecutive season a planted seedling tuber could either bear seed or ware tubers. Seed tubers -used as starting material of a new potato crop- could, in this paper, originate from either seedlings, seedling tubers or a different type of tuber starting materials [ 63 , 64 , 65 , 66 ]. Ware potatoes, materials which are meant for consumption or any type of industrial use, could origin from any type of potato starting material.…”

Section: Hybrid Development and Evaluationmentioning

confidence: 99%

“…Using large plots cost more resources that also could be used to evaluate more genotypes, and plots should be large enough to select superior genotypes. In Stockem et al we analyzed the effect of plot dimensions on error variation for different traits, and we provide equations to estimate the expected variation for different plot dimensions [ 66 ].…”

Section: Hybrid Development and Evaluationmentioning

confidence: 99%

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Converting Hybrid Potato Breeding Science into Practice

Vries¹,

Adams

Eggers

et al. 2023

Plants

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Research on diploid hybrid potato has made fast advances in recent years. In this review we give an overview of the most recent and relevant research outcomes. We define different components needed for a complete hybrid program: inbred line development, hybrid evaluation, cropping systems and variety registration. For each of these components the important research results are discussed and the outcomes and issues that merit further study are identified. We connect fundamental and applied research to application in a breeding program, based on the experiences at the breeding company Solynta. In the concluding remarks, we set hybrid breeding in a societal perspective, and we identify bottlenecks that need to be overcome to allow successful adoption of hybrid potato.

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“…Uniformity trials were used for determining shape and size for field experiments in potato (Justesen 1932). Plot shape effect seems to be minor in trials testing potato hybrids (Stockem et al 2022). Fisher (1970) argued the degree of precision of a trial for estimating any mean depends on the replication number.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2023

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Multi-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.

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Optimal Plot Dimensions for Performance Testing of Hybrid Potato in the Field

Cited by 12 publications

References 44 publications

Statistical considerations for applying genomic prediction to potato

Statistical considerations for applying genomic prediction to potato

Converting Hybrid Potato Breeding Science into Practice

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

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