Evidence map›Paper›PMID 34618174›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2021

Optimum breeding strategies using genomic and phenotypic selection for the simultaneous improvement of two traits.

Jose J Marulanda, Xuefei Mi, H Friedrich Utz, Albrecht E Melchinger, Tobias Würschum, C Friedrich H Longin

Abstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Evaluating reaction norm and fixed effect models for genomic selection of end-use quality in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Article
  3. Article
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  6. Comparison of single-trait and multi-trait genomic predictions on agronomic and disease resistance traits in spring wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  7. Article
  8. Review
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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

6 authors.

Jose J MarulandaInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599, Stuttgart, Germany.ORCID http://orcid.org/0000-0003-2355-1393
Xuefei MiAgricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
H Friedrich UtzInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599, Stuttgart, Germany.
Albrecht E MelchingerInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599, Stuttgart, Germany.ORCID http://orcid.org/0000-0002-8346-7786
Tobias WürschumInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, 70599, Stuttgart, Germany.ORCID http://orcid.org/0000-0002-7397-7731
C Friedrich H LonginState Plant Breeding Institute, University of Hohenheim, 70599, Stuttgart, Germany. friedrich.longin@uni-hohenheim.de.ORCID http://orcid.org/0000-0002-0737-1651

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageA breeding strategy combining genomic with one-stage phenotypic selection maximizes annual selection gain for net merit. Choice of the selection index strongly affects the selection gain expected in individual traits. Selection indices using genomic information have been proposed in crop-specific scenarios. Routine use of genomic selection (GS) for simultaneous improvement of multiple traits requires information about the impact of the available economic and logistic resources and genetic properties (variances, trait correlations, and prediction accuracies) of the breeding population on the expected selection gain. We extended the R package "selectiongain" from single trait to index selection to optimize and compare breeding strategies for simultaneous improvement of two traits. We focused on the expected annual selection gain (ΔG

Indexed as

Plant BreedingSelection, GeneticEdible GrainGenomicsModels, GeneticPhenotypeTriticum

Identifiers

PMID34618174
PMCPMC8580912

What OpenQuestion holds

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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.