Evidence map›Paper›PMID 41311117›Full record

ArticleThe plant genome2025

The effect of haplotype size on genomic selection accuracy and epistasis: An empirical study in rice.

Maria Montiel, Jose Moreno-Amores, Jomar Punzalan, Brijesh Angira, Tommaso Cerioli, Kelly Robbins, Susan McCouch, Roberto Fritsche-Neto, Adam Famoso

Abstract read
In one paragraph

Article in The plant genome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Maria MontielHorizon Ag LLC, Memphis, Tennessee, USA.ORCID https://orcid.org/0000-0001-8615-6070
Jose Moreno-AmoresColegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito (USFQ). Calle Diego de Robles y Avenida Pampite, Quito, Ecuador.ORCID https://orcid.org/0000-0001-8103-7996
Jomar PunzalanH. Rouse Caffey Rice Research Station, Louisiana State University Agricultural Center, Rayne, Louisiana, USA.ORCID https://orcid.org/0009-0005-6116-8143
Brijesh AngiraH. Rouse Caffey Rice Research Station, Louisiana State University Agricultural Center, Rayne, Louisiana, USA.ORCID https://orcid.org/0000-0002-7366-3169
Tommaso CerioliCorteva Agriscience, Gadesco-pieve Delmona, Italy.ORCID https://orcid.org/0000-0002-1105-8473
Kelly RobbinsCornell Institute for Digital Agriculture, Cornell University, Ithaca, New York, USA.ORCID https://orcid.org/0000-0001-9522-9585
Susan McCouchCornell Institute for Digital Agriculture, Cornell University, Ithaca, New York, USA.
Roberto Fritsche-NetoDepartment of Horticulture Sciences, North Carolina State University, Raleigh, North Carolina, USA.ORCID https://orcid.org/0000-0003-4310-0047
Adam FamosoH. Rouse Caffey Rice Research Station, Louisiana State University Agricultural Center, Rayne, Louisiana, USA.ORCID https://orcid.org/0000-0002-6461-6504

Funding

Hatch Project from NIFA LAB94549Hatch Project from NIFA LAB94636Horizon Ag GR-00004555Louisiana Rice Research Board
6 · The paper itself

Abstract

Genomic selection (GS) has revolutionized breeding practices by integrating genotype and phenotype data to predict genomic estimated breeding values, offering the potential to accelerate breeding cycles and intensify and enhance early-stage selections. This approach utilizes the concept of linkage disequilibrium (LD) between genetic markers and quantitative trait loci within populations. LD, the nonrandom association between alleles at different loci, provides valuable insights into historical recombination patterns, although it can change over time under strong selection or genetic drift. This study aimed to investigate the influence of recombination on haplotype sizes and LD, assess the impact of additive (A) versus additive + epistasis (A+I) genetic models on GS predictive ability (PA), and demonstrate how haplotype resolution in the training set (TS) impacts the PA of GS. For this, we used biparental (MP2) and multiparent (MP6-8) populations, where the main difference between them was the recombination rate. As expected, a strong correlation between LD decay and the number of recombination opportunities within populations was observed, with smaller haplotype blocks in populations experiencing more recombination. The use of A+I models increased heritability but did not improve PA. Finally, populations with smaller haplotype sizes in the TS exhibited enhanced PA. This study demonstrates the effect of haplotype size on GS accuracy, and its uniqueness lies in its focus on populations where the primary differentiating factor is haplotype size. It offers an important tool for breeders in designing GS strategies, providing valuable guidance for future breeding efforts.

Indexed as

Epistasis, GeneticGenome, PlantHaplotypesOryzaSelection, GeneticLinkage DisequilibriumModels, GeneticPlant BreedingQuantitative Trait LociRecombination, Genetic

Identifiers

PMID41311117
PMCPMC12661132

What Socratic holds

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Registered trials

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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 Socratic graph.