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ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2012

Identification of Indica rice chromosome segments for the improvement of Japonica inbreds and hybrids.

Zhiquan Wang, Chuanyuan Yu, Xi Liu, Shijia Liu, Changbin Yin, Linglong Liu, Jianguo Lei, Ling Jiang, Chao Yang, Liangming Chen and 2 more

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2012. 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

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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

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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. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Heterosis-associated genes confer high yield in super hybrid rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  8. Article
  9. Development and use of chromosome segment substitution lines as a genetic resource for crop improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Review
  10. Article
  11. Article
  12. Article
  13. 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

12 authors.

Zhiquan WangState Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Provincial Center of Plant Gene Engineering, Nanjing Agricultural University, Weigang 1, Nanjing 210095, China.
Chuanyuan Yu
Xi Liu
Shijia Liu
Changbin Yin
Linglong Liu
Jianguo Lei
Ling Jiang
Chao Yang
Liangming Chen
Huqu Zhai
Jianmin Wan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exploitation of heterosis has brought significant advance in plant breeding and agricultural production, although its genetic basis is still poorly understood. In this study, a total of 66 chromosome segment substitution (CSS) lines, derived from a cross between japonica rice inbred line Asominori (as the recurrent parent) and indica rice inbred line IR24 (as the donor parent), were used to investigate the genetic basis of heterosis in indica × japonica inter-subspecific rice hybrids. Each CSS line was crossed with the background parent Asominori, and the heterosis of F(1) hybrids was estimated by comparing the F(1) performance with its two parental lines. Field experiments were carried out across six different environments to evaluate yield and yield-related traits in the 66 CSS lines and their 66 corresponding F(1) hybrids. Quantitative trait loci (QTL) analyses were conducted using a likelihood ratio test based on the stepwise regression. Thirty-six QTL were identified with significant effects in CSSL, 21 with significant effects in hybrids and 13 with significant effects in both. On the basis of average dominance degree, of all the 70 QTL affecting yield-related agronomic traits, 28.6% (20) showed an overdominance, 35.7% (25) a partial dominance and 30% (21) an additive effect, indicating that all effects contribute to trait variation in japonica-indica rice hybrids. Effects of these QTL were examined to identify Indica rice chromosome segments of interest for the improvement of japonica inbred lines and hybrids.

Indexed as

Hybridization, GeneticBreedingChromosome MappingChromosomes, PlantCrosses, GeneticGenes, PlantGenetic MarkersGenotypeHybrid VigorOryzaPhenotypeQuantitative Trait LociGenetic Markers

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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.