Evidence map›Paper›PMID 23028855›Full record

ArticlePloS one2012

Dissecting quantitative trait loci for boron efficiency across multiple environments in Brassica napus.

Zunkang Zhao, Likun Wu, Fuzhao Nian, Guangda Ding, Taoxiong Shi, Didi Zhang, Lei Shi, Fangsen Xu, Jinling Meng

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Identification of Rapeseed (Frontiers in plant science · 2018
    Article
  5. Article
  6. Article
  7. Article
  8. Dynamic and comparative QTL analysis for plant height in different developmental stages of Brassica napus L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015
    Article
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

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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.

Zunkang ZhaoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, Hubei, China.
Likun Wu
Fuzhao Nian
Guangda Ding
Taoxiong Shi
Didi Zhang
Lei Shi
Fangsen Xu
Jinling Meng

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High yield is the most important goal in crop breeding, and boron (B) is an essential micronutrient for plants. However, B deficiency, leading to yield decreases, is an agricultural problem worldwide. Brassica napus is one of the most sensitive crops to B deficiency, and considerable genotypic variation exists among different cultivars in response to B deficiency. To dissect the genetic basis of tolerance to B deficiency in B. napus, we carried out QTL analysis for seed yield and yield-related traits under low and normal B conditions using the double haploid population (TNDH) by two-year and the BQDH population by three-year field trials. In total, 80 putative QTLs and 42 epistatic interactions for seed yield, plant height, branch number, pod number, seed number, seed weight and B efficiency coefficient (BEC) were identified under low and normal B conditions, singly explaining 4.15-23.16% and 0.53-14.38% of the phenotypic variation. An additive effect of putative QTLs was a more important controlling factor than the additive-additive effect of epistatic interactions. Four QTL-by-environment interactions and 7 interactions between epistatic interactions and the environment contributed to 1.27-4.95% and 1.17-3.68% of the phenotypic variation, respectively. The chromosome region on A2 of SYLB-A2 for seed yield under low B condition and BEC-A2 for BEC in the two populations was equivalent to the region of a reported major QTL, BE1. The B. napus homologous genes of Bra020592 and Bra020595 mapped to the A2 region and were speculated to be candidate genes for B efficiency. These findings reveal the complex genetic basis of B efficiency in B. napus. They provide a basis for the fine mapping and cloning of the B efficiency genes and for breeding B-efficient cultivars by marker-assisted selection (MAS).

Indexed as

Quantitative Trait LociAllelesBoronBrassica napusBreedingChromosome MappingEnvironmentEpistasis, GeneticGenetic VariationGenotypeHaploidyPhenotypeSeedsBoron

Identifiers

PMID23028855
PMCPMC3454432

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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.