Evidence map›Paper›PMID 28527137›Full record

ArticleRice (New York, N.Y.)2017

Genome-Based Identification of Heterotic Patterns in Rice.

Ulrike Beukert, Zuo Li, Guozheng Liu, Yusheng Zhao, Nadhigade Ramachandra, Vilson Mirdita, Fabiano Pita, Klaus Pillen, Jochen Christoph Reif

Abstract read
In one paragraph

Article in Rice (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Simulation-based establishment of base pools for a hybrid breeding program in winter rapeseed.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  3. Article
  4. Article
  5. Genomic Prediction: Progress and Perspectives for Rice Improvement.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  6. Article
  7. Review
  8. Genomic interventions for sustainable agriculture.Plant biotechnology journal · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Modeling copy number variation in the genomic prediction of maize hybrids.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Article
  13. 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.

Ulrike BeukertDepartment of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstraße 3, 06466, Stadt Seeland, Germany.
Zuo LiDepartment of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstraße 3, 06466, Stadt Seeland, Germany.
Guozheng LiuDepartment of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstraße 3, 06466, Stadt Seeland, Germany.
Yusheng ZhaoDepartment of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstraße 3, 06466, Stadt Seeland, Germany.
Nadhigade RamachandraBayer Bioscience, 500081, Hyderabad, India.
Vilson MirditaEuropean Wheat Breeding Center, Bayer Crop Science, Am Schwabenplan 8, 06466, Stadt Seeland, Germany.
Fabiano PitaBiometrics and Breeding Research US, Bayer Crop Science, 407 Davis Dr., Morrisville, NC, USA.
Klaus PillenK. Pillen, Chair of Plant Breeding, Martin-Luther-University Halle-Wittenberg, Betty-Heimann-Str. 3, 06120, Halle/Saale, Germany.
Jochen Christoph ReifDepartment of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstraße 3, 06466, Stadt Seeland, Germany. reif@ipk-gatersleben.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHybrid rice breeding facilitates to increase grain yield and yield stability. Long-term success of hybrid breeding depends on the recognition of high-yielding complementary heterotic patterns, which is lacking in crops like rice.

resultThe main goal of this study was to evaluate the potential and limits to use genomics for establishing heterotic patterns in rice. For this purpose, data of a commercial hybrid rice breeding program targeted to India was analyzed, including 1,960 phenotyped hybrids from three market segments and 262 genotyped parental lines. Our cross-validation study revealed that grain yield of all potential single-crosses can be accurately predicted. Based on the full matrix of hybrid performances, high-yielding heterotic patterns were identified. These heterotic patterns increased grain yield up to 9% compared to the currently employed groups. Heterotic groups of around 14 individuals reflect a good compromise between long-term and short-term selection response.

conclusionsOur findings clearly underlined the benefits of a genome-based establishment of heterotic patterns in rice as a requirement for a sustainable long-term success of hybrid rice breeding.

Indexed as

Genome-Wide PredictionsHeterotic GroupsHeterotic PatternHybrid Rice

Identifiers

PMID28527137
PMCPMC5438337

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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 OpenQuestion graph.