Evidence map›Paper›PMID 41153381›Full record

ArticleGenes2025

Genetic Parameters, Prediction of Genotypic Values, and Forage Stability in

Diógenes Cecchin Silveira, Annamaria Mills, Júlio Antoniolli, Victor Schneider de Ávila, Maria Eduarda Pagani Sangineto, Juliana Medianeira Machado, Roberto Luis Weiler, André Pich Brunes, Carine Simioni, Miguel Dall'Agnol

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Diógenes Cecchin SilveiraFaculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 7712, Porto Alegre 90001-970, RS, Brazil.ORCID 0000-0001-6653-4839
Annamaria MillsField Research Centre, Lincoln University, P.O. Box 85084, Lincoln 7647, New Zealand.ORCID 0000-0002-9194-4597
Júlio AntoniolliFaculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 7712, Porto Alegre 90001-970, RS, Brazil.ORCID 0000-0002-2918-3790
Victor Schneider de ÁvilaFaculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 7712, Porto Alegre 90001-970, RS, Brazil.ORCID 0009-0004-6481-0122
Maria Eduarda Pagani SanginetoFaculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 7712, Porto Alegre 90001-970, RS, Brazil.ORCID 0009-0004-5342-156X
Juliana Medianeira MachadoDepartamento de Zootecnia, Centro de Ciências Rurais, Universidade Federal de Santa Maria, Av. Roraima nº 1000, Santa Maria 97105-900, RS, Brazil.ORCID 0000-0003-3583-2862
Roberto Luis WeilerFaculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 7712, Porto Alegre 90001-970, RS, Brazil.ORCID 0000-0002-1063-6374
André Pich BrunesFaculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 7712, Porto Alegre 90001-970, RS, Brazil.ORCID 0000-0002-2430-8232
Carine SimioniFaculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 7712, Porto Alegre 90001-970, RS, Brazil.ORCID 0000-0002-0642-6980
Miguel Dall'AgnolFaculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 7712, Porto Alegre 90001-970, RS, Brazil.ORCID 0000-0001-5471-1850

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectives

methodsA total of 84 ecotypes were evaluated over three consecutive years for twelve morphological and forage-related traits. Genetic parameters, genotypic values, and selection gains were estimated using mixed models (REML/BLUP). Stability was assessed through harmonic means of genotypic performance, and the multi-trait genotype-ideotype distance index (MGIDI) was applied to identify ecotypes with balanced performance across traits.

resultsSubstantial genetic variability was detected for most traits, particularly those related to biomass accumulation, such as total dry matter, the number of tillers, fresh matter, and leaf dry matter. These traits exhibited medium to high heritability and strong potential for selection. Ecotype N3.10 consistently showed superior performance across productivity traits while other ecotypes, such as N4.14 and N1.09, stood out for quality-related attributes and cold tolerance, respectively. The application of the MGIDI index enabled the identification of 17 ecotypes with balanced multi-trait performance, supporting the simultaneous selection for productivity, quality, and adaptability. Comparisons with

conclusionsThe integration of REML/BLUP analyses, stability parameters, and ideotype-based multi-trait selection provided a robust framework for identifying elite

Indexed as

EcotypePaspalumGenetic VariationGenotypePhenotypePlant BreedingBrunswick grassgenetic biometricsideotypeMGIDIplant breeding

Identifiers

PMID41153381
PMCPMC12563252

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.