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Dissecting Quantitative Trait Loci for Boron Efficiency across Multiple Environments in Brassica napus

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

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).

Suggested Citation

  • Zunkang Zhao & Likun Wu & Fuzhao Nian & Guangda Ding & Taoxiong Shi & Didi Zhang & Lei Shi & Fangsen Xu & Jinling Meng, 2012. "Dissecting Quantitative Trait Loci for Boron Efficiency across Multiple Environments in Brassica napus," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-14, September.
  • Handle: RePEc:plo:pone00:0045215
    DOI: 10.1371/journal.pone.0045215
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