Evidence map›Paper›PMID 37407693›Full record

ArticleHeredity2023

Population improvement via recurrent selection drives genetic gain in upland rice breeding.

Adriano Pereira de Castro, Flávio Breseghello, Isabela Volpi Furtini, Marley Marico Utumi, José Almeida Pereira, Tuong-Vi Cao, Jérôme Bartholomé

Abstract read
In one paragraph

Article in Heredity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Genetic gains in IRRI's rice salinity breeding and elite panel development as a future breeding resource.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  4. Review
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

7 authors.

Adriano Pereira de CastroEmbrapa Rice and Beans, Santo Antonio de Goiás, Goiás, Brazil. adriano.castro@embrapa.br.ORCID 0000-0002-6202-4767
Flávio BreseghelloEmbrapa Rice and Beans, Santo Antonio de Goiás, Goiás, Brazil.
Isabela Volpi FurtiniEmbrapa Rice and Beans, Santo Antonio de Goiás, Goiás, Brazil.
Marley Marico UtumiEmbrapa Rondonia, Vilhena, Rondônia, Brazil.
José Almeida PereiraEmbrapa Meio Norte, Teresina, Piauí, Brazil.
Tuong-Vi CaoAGAP Institut, Univ Montpellier, CIRAD, INRAE, Montpellier SupAgro, Montpellier, France.
Jérôme BartholoméAGAP Institut, Univ Montpellier, CIRAD, INRAE, Montpellier SupAgro, Montpellier, France.ORCID 0000-0002-0855-3828

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the main challenges of breeding programs is to identify superior genotypes from a large number of candidates. By gradually increasing the frequency of favorable alleles in the breeding population, recurrent selection improves the population mean for target traits, increasing the chance to identify promising genotypes. In rice, population improvement through recurrent selection has been used very little to date, except in Latin America. At Embrapa (Brazilian Agricultural Research Corporation), the upland rice breeding program is conducted in two phases: population improvement followed by product development. In this study, the CNA6 population, evaluated over five cycles (3 to 7) of selection, including 20 field trials, was used to assess the realized genetic gain. A high rate of genetic gain was observed for grain yield, at 215 kg.ha

Indexed as

OryzaEdible GrainGenotypePhenotypePlant BreedingSelection, Genetic

Identifiers

PMID37407693
PMCPMC10462700

What OpenQuestion 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 OpenQuestion graph.