Literature DB >> 27706613

Dynamic QTL analysis of seed reserve utilization in sh2 sweet corn germination stages.

X X Cheng1,2, S He3, G H Geng3.   

Abstract

In this study, dynamic quantitative trait loci (QTL) were mapped in a recombinant inbred line (F2:4) population derived from a BF3109 x Q267 cross. This was done during the unconditional (4, 7, and 10 days) and conditional (0 to 4, 4 to 7, and 7 to 10 days) germination stages in sh2 sweet corn. The values of seedling dry weight, weight of mobilized seed reserve (WMSR), seed reserve depletion percentage (SRDP), seed reserve utilization efficiency (SRUE), and their heritability differed across the investigated stages. The heritabilities of these traits were lower at 7D/4D and 10D/7D compared with those at the 4- (4D/0D), 7- and 10-day (D) developmental stages. WMSR and SRDP were significantly negatively correlated with SRUE at the early stage. The unconditional QTL mapping can explain the accumulation of genetic effects of seed reserve utilization from the starting time, whereas the conditional QTL mapping can reveal genetic expression in the time intervals. Fifteen and fourteen additive QTLs were identified by the unconditional and conditional mapping, respectively. The number of additive QTLs and their effect values varied among the different stages. More additive QTLs were found at the later stage (7 to 10 days), based on the conditional mapping results. The identification of QTL mapping based on a combination of time-dependent measurements is important for a better understanding of the genetic bases of seed reserve utilization. It is also important for the improvement of relevant variety traits for subsequent sweet corn-breeding studies using marker-assisted selection.

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Year:  2016        PMID: 27706613     DOI: 10.4238/gmr.15038183

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  1 in total

1.  Mining of favorable alleles for seed reserve utilization efficiency in Oryza sativa by means of association mapping.

Authors:  Nour Ali; Dalu Li; Moaz S Eltahawy; Dina Abdulmajid; Lal Bux; Erbao Liu; Xiaojing Dang; Delin Hong
Journal:  BMC Genet       Date:  2020-01-16       Impact factor: 2.797

  1 in total

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