QTL associated with maize kernel oil, protein, and starch concentrations; kernel mass; and grain yield in Illinois high oil x B73 backcross-derived lines

James J. Wassom, Jeffrey C. Wong, Edwin Martinez, Joseph J. King, Jan DeBaene, Jay R. Hotchkiss, Venugopal Mikkilineni, Martin O. Bohn, Torbert R. Rocheford

Research output: Contribution to journalArticlepeer-review

Abstract

Illinois long-term selection strains of maize (Zea mays L.) have been useful for identifying genomic regions controlling kernel oil, protein, and starch concentrations. To identify kernel trait quantitative trait loci (QTL) in a genetic background more relevant to practical breeding, 150 BC 1-derived S1 lines (BC1S1s) were produced from Illinois High Oil and recurrent parent B73. Oil, protein, and starch were measured in BC1S1s and in Mo17-topcross hybrids (TCs). Kernel mass of BC1S1s and grain yield of TCs were also determined. Starch was positively correlated with mass in BC 1S1s (rp = 0.67**, α ≤ 0.01) and with yield in TCs (rp = 0.59**). Oil was negatively correlated with mass in BC1S1s (rp = -0.29**) and with yield in TCs (rp = -0.30**). Oil was negatively correlated with starch in BC 1S1s (rp = -0.75**) and TCs (r p = -0.66**). A genetic map with length = 1486 cM was created with 110 markers. Multiple regression models with QTL detected by composite interval mapping (CIM) explained 46.9, 45.2, 44.3, and 17.7% of phenotypic variance for oil, protein, starch, and mass, respectively, in BC 1S1s and 17.5, 22.9, 40.1, and 28.7% for oil, protein, starch, and yield, respectively, in TCs. A 22 cM-interval on chromosome 6 in BC1S1s included oil, protein, and starch QTL, including a QTL explaining 36.7% of the BC1S1 phenotypic variation for oil. No yield QTL were detected in this region. Introgression of this QTL into breeding lines might increase oil while maintaining yield.

Original languageEnglish (US)
Pages (from-to)243-252
Number of pages10
JournalCrop Science
Volume48
Issue number1
DOIs
StatePublished - Jan 2008

ASJC Scopus subject areas

  • Agronomy and Crop Science

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