QTL Mapping for Plant-type Related Traits Using Single Segment Substitution Lines in Maize
Xu Chen
Abstract
Xu Chen
Abstract
A set of single segment substitution lines(SSSLs) population that derived for an elite inbred line Xu178 as recipient parent and inbred line Zong3 as donor parent, was used as the basic material for QTL mapping of plant-type related traits in maize. The SSSLs population was evaluated at two locations, and five plant-type related traits including plant height, ear height, leaf number, leaf number above ear, leaf area were evaluated in the field. A total of 72 QTL for the five plant-type related traits were detected at two locations, including 23 QTL for plant height, twelveQTL for ear height, six QTL for leaf number, fifteen QTL for leaf number above ear and sixteen QTL for leaf area. Out of them, ten QTL for plant height, three QTL for ear height, three QTL for leaf number, two QTL for leaf number above ear and one QTL for leaf area were identified at the two locations simultaneously.
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A set of single segment substitution lines(SSSLs) population that derived for an elite inbred line Xu178 as recipient parent and inbred line Zong3 as donor parent, was used as the basic material for QTL mapping of plant-type related traits in maize. The SSSLs population was evaluated at two locations, and five plant-type related traits including plant height, ear height, leaf number, leaf number above ear, leaf area were evaluated in the field. A total of 72 QTL for the five plant-type related traits were detected at two locations, including 23 QTL for plant height, twelveQTL for ear height, six QTL for leaf number, fifteen QTL for leaf number above ear and sixteen QTL for leaf area. Out of them, ten QTL for plant height, three QTL for ear height, three QTL for leaf number, two QTL for leaf number above ear and one QTL for leaf area were identified at the two locations simultaneously.
Key concepts: Quantitative trait locus, Biology, Population, Inbred strain, Inclusive composite interval mapping, Agronomy, Gene mapping, Genetics