Evidence map›Paper›PMID 40941975›Full record

ArticlePlants (Basel, Switzerland)2025

Reliability and Usefulness of Seedling Plant Data in Cassava Breeding.

Chalermpol Phumichai, Hernan Ceballos, Paphawe Pleeprom, Thanasak Chomsuk, Pasajee Kongsil, Wannasiri Wannarat, Wanwisa Siriwan, Thapakorn Jaisuwan, Marcelo Mollinari, Carlos Iglesias and 3 more

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Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Chalermpol PhumichaiDepartment of Agronomy, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand.
Hernan CeballosInternational Center for Tropical Agriculture (CIAT), Km 17, Recta Cali-Palmira Apartado Aéreo 6713, Cali 763537, Colombia.ORCID 0000-0002-8744-7918
Paphawe PleepromDepartment of Agronomy, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand.
Thanasak ChomsukDepartment of Agronomy, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand.
Pasajee KongsilDepartment of Agronomy, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand.
Wannasiri WannaratDepartment of Agronomy, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand.
Wanwisa SiriwanDepartment of Plant Pathology, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand.ORCID 0000-0002-5603-7844
Thapakorn JaisuwanDoipui Research Station, Faculty of Agriculture, Kasetsart University, Chaingmai 50200, Thailand.
Marcelo MollinariDepartment of Horticultural Science, North Carolina State University, Raleigh, NC 27607, USA.ORCID 0000-0002-7001-8498
Carlos IglesiasDepartment of Horticultural Science, North Carolina State University, Raleigh, NC 27607, USA.
Vichan VichukitDepartment of Agronomy, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand.
Ed SarobolDepartment of Agronomy, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand.
Chareinsuk RojanaridpichedDepartment of Agronomy, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cassava breeding traditionally involves several years of phenotypic evaluation and field selection. The process begins with seedling evaluation trials (SETs), followed by single row trials (SRTs), and then progresses through preliminary, advanced and uniform yield trials. In recent years, significant efforts have been made to shorten the cassava breeding cycle through genomic selection, which relies on genotypically estimated breeding values (GEBVs). Breeders have typically performed visual selection during the SET stage, when each genotype in segregating populations is represented by a single plant. Despite the intense selection pressure applied at this stage-often eliminating 80-90% of genotypes-no data are collected prior to selection. As a result, breeders miss the opportunity to assess the degree and direction of dominance for key cassava traits, which remains largely unknown. This study provides pioneering insights based on seedling data collected over three years of field evaluations, along with the performance of selected genotypes at the SRT stage. Beyond its relevance for conventional inheritance studies, SET data can also be used to estimate phenotypically estimated breeding values (PEBVs) of progenitors, serving a similar purpose to GEBVs in genomic selection strategies. In fact, these two approaches to estimating breeding values can be highly complementary.

Indexed as

general combining abilityphenotypically estimated breeding values (PEBV)seedling plant informationspecific combining abilityunbiased populations

Identifiers

PMID40941975
PMCPMC12430281

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.