Evidence map›Paper›PMID 20623365›Full record

ArticleGenetica2010

Unconditional and conditional QTL mapping for the developmental behavior of tiller number in rice (Oryza sativa L.).

Guifu Liu, Haitao Zhu, Shuwen Liu, Ruizhen Zeng, Zemin Zhang, Wentao Li, Xiaohua Ding, Fangming Zhao, Guiquan Zhang

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In one paragraph

Article in Genetica, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

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0cells of the map it votes in
23citing 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

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
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  8. Identification of One Major QTL and a Novel GenePlants (Basel, Switzerland) · 2022
    Article
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  12. Review
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Guifu LiuGuangdong Key Lab of Plant Molecular Breeding, South China Agricultural University, Guangzhou 510642, People's Republic of China.
Haitao Zhu
Shuwen Liu
Ruizhen Zeng
Zemin Zhang
Wentao Li
Xiaohua Ding
Fangming Zhao
Guiquan Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A single segment substitution population of 26 lines and their recipient parent Hua-jing-xian 74 (HJX74) were selected as experimental materials for analyzing the developmental behavior of tiller number in rice. By the unconditional QTL (quantitative trait locus) mapping method, a total number of 14 SSSLs were detected with QTLs controlling rice tiller number. The number of QTLs significantly affecting tiller number and their effect values estimated differed across measuring stages. More QTLs could be detected based on time-dependent measures of different stages. By the conditional QTL mapping method, it is possible to reveal net expression of gene in a time interval. 14 QTLs on tiller number expressed their effects in dynamic patterns of themselves during whole ontogeny. They exhibited mainly negative effects within 7 days after transplanting. During 7-21 days, QTLs were in active status and expressed larger positive effects. In the mid-period of 21-35 days, they had opposite genetic effects to wither tillers. Since then these QTLs expressed positive effects again to cause the appearance of noneffective tillers. The dynamics of QTL effects was in agreement with the actual change of tillers. Mapping QTL combining unconditional with conditional analysis for time-dependent measures is helpful to understand roundly the genetic bases for the development of quantitative traits.

Indexed as

Quantitative Trait LociChromosome MappingGenetic VariationOryzaPlant Shoots

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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.