Genomic prediction in a multiploid crop: Genotype by environment interaction and allele dosage effects on predictive ability in Banana

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389030%3A_____%2F18%3A00497700" target="_blank" >RIV/61389030:_____/18:00497700 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.3835/plantgenome2017.10.0090" target="_blank" >http://dx.doi.org/10.3835/plantgenome2017.10.0090</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3835/plantgenome2017.10.0090" target="_blank" >10.3835/plantgenome2017.10.0090</a>

Result language

angličtina

Original language name

Genomic prediction in a multiploid crop: Genotype by environment interaction and allele dosage effects on predictive ability in Banana

Original language description

Improving the efficiency of selection in conventional crossbreeding is a major priority in banana (Musa spp.) breeding. Routine application of classical marker assisted selection (MAS) is lagging in banana due to limitations in MAS tools. Genomic selection (GS) based on genomic prediction models can address some limitations of classical MAS, but the use of GS in banana has not been reported to date. The aim of this study was to evaluate the predictive ability of six genomic prediction models for 15 traits in a multi-ploidy training population. The population consisted of 307 banana genotypes phenotyped under low and high input field management conditions for two crop cycles. The single nucleotide polymorphism (SNP) markers used to fit the models were obtained from genotyping by sequencing (GBS) data. Models that account for additive genetic effects provided better predictions with 12 out of 15 traits. The performance of BayesB model was superior to other models particularly on fruit filling and fruit bunch traits. Models that included averaged environment data were more robust in trait prediction even with a reduced number of markers. Accounting for allele dosage in SNP markers (AD-SNP) reduced predictive ability relative to traditional bi-allelic SNP (BA-SNP), but the prediction trend remained the same across traits. The high predictive values (0.47– 0.75) of fruit filling and fruit bunch traits show the potential of genomic prediction to increase selection efficiency in banana breeding.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10603 - Genetics and heredity (medical genetics to be 3)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Plant Genome

ISSN

1940-3372

e-ISSN

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Volume of the periodical

11

Issue of the periodical within the volume

2

Country of publishing house

US - UNITED STATES

Number of pages

16

Pages from-to

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UT code for WoS article

000450929300008

EID of the result in the Scopus database

2-s2.0-85049525152