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QTL detection for grain oil and starch content and their associations in two connected F2:3 populations in high-oil maize

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Abstract

High-oil maize (Zea mays L.) has special value in animal feed and human food. Two hundred and eight-four and 265 F2:3 families developed from two crosses between one high-oil maize inbred and two normal dent maize inbreds were evaluated for grain oil and starch contents under two environments. Using composite interval mapping, 1–6 QTL for each trait were detected under each environment and in combined analysis in both populations. Only one common QTL across two environments in each population and across two populations were found for starch content. Among the detected QTL, nine digenic interactions with small effects were identified. Comparison of single-trait QTL and the results of multiple-trait QTL mapping showed that oil content might be complicatedly correlated with starch content. Although single-trait QTL with the same parental effects for both traits and oil-starch QTL were all detected at the same genetic bin 6.04 as the cloned high-oil QTL (qHO6) with no unfavorable effects on grain weight, our results did reflect the difficulty to realize simultaneous improvement on grain oil and starch contents. Of course, these results should be validated in further experiments under more environments using RILs, NILs and other permanent populations.

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Abbreviations

A:

Additive

ASK:

Alexho Single-Kernel

BHO:

Beijing high oil

CIM:

Composite interval mapping

D:

Dominance

IHO:

Illinois High Oil

IHP:

Illinois High Protein

ILO:

Illinois Low Oil

ILP:

Illinois Low Protein

LD:

Levels of dominance

MAS:

Marker-assisted selection

MIM:

Multiple interval mapping

NILs:

Near isogenic lines

OD:

Overdominance

PD:

Partial dominance

QTL:

Quantitative trait locus/loci

SCA:

Special combining ability

SSR:

Simple sequence repeat

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Acknowledgments

We greatly thank China Agricultural University for providing us the high-oil maize inbred line GY220. This work was funded by the Henan Innovation Project for University Prominent Research Talents (2005HANCET-12), the Henan Scientific Technology Research Project (0623011700).

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Authors and Affiliations

  1. College of Agriculture, Henan Agricultural University, 95 Wenhua Rd., Zhengzhou, China

    Y. Z. Wang, J. Z. Li, Y. L. Li, M. G. Wei, X. H. Li & J. F. Fu

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  1. Y. Z. Wang
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  2. J. Z. Li
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  3. Y. L. Li
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  4. M. G. Wei
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  5. X. H. Li
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  6. J. F. Fu
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Correspondence to Y. L. Li.

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Wang, Y.Z., Li, J.Z., Li, Y.L. et al. QTL detection for grain oil and starch content and their associations in two connected F2:3 populations in high-oil maize. Euphytica 174, 239–252 (2010). https://doi.org/10.1007/s10681-010-0123-1

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