Unable to connect to database - 04:33:40 Unable to connect to database - 04:33:40 SQL Statement is null or not a SELECT - 04:33:40 SQL Statement is null or not a DELETE - 04:33:40 Botany & Plant Biology 2007 - Abstract Search
Unable to connect to database - 04:33:40 Unable to connect to database - 04:33:40 SQL Statement is null or not a SELECT - 04:33:40

Abstract Detail

Recent Topics Posters

Moreno, Rachel [1], Polans, Neil [2].

Quantitative Trait Loci Mapping of Yield and Yield Components in Pea.

Yield components of leguminous crops have been manipulated since the advent of modern agriculture. World-wide, pea (Pisum sativum L.) is the third most agronomically important legume; however, it is particularly prone to varying yield across environment and time. Quantitative trait loci (QTL) mapping offers a modern approach to this historic concern by providing a minimum number of statistically significant chromosomal regions which contain a gene or gene cluster affecting a particular quantitative trait of interest. In order to map pea yield QTLs efficiently, a set of novel microsatellite molecular markers was developed. These markers were applied to a series of Recombinant Inbred Lines (RILs) of pea to complement previously gathered morphological, isozyme and molecular marker data as part of a highly detailed genetic linkage map created using MapManagerQTX. Each of the 57 RILs, plus the two parental lines, was grown in three greenhouse locations in spring 2006. Quantitative trait data related to yield were gathered for each individual. These traits include: days to flowering, first flowering node, number of pods, number of seeds, total seed weight and dry vegetative weight. Two derived traits, average weight per seed and the ratio of seed weight to vegetative weight, were calculated subsequently. Quantitative data and genetic linkage map data were combined and subsequently analyzed for the presence of putative QTLs using the Composite Interval Mapping (CIM) function with 1000 permutations in the WinQTLCartograper computer package. To date we have discovered 21 QTLs affecting yield and yield components, with the greatest number (4) controlling the number of seeds. We are currently conducting plant crosses to: 1) demonstrate the QTL additive effects in the F1 generation and 2) create enhanced pea lines with improved yield qualities through molecular marker assisted breeding.

Log in to add this item to your schedule

1 - Northern Illinois University, Biological Sciences, 317 Montgomery Hall, DeKalb, IL, 60115, USA
2 - Northern Illinois University, Department of Biological Sciences, Montgomery Hall, DeKalb, Illinois, 60115-2861, USA

Quantitative Trait Loci Mapping.

Presentation Type: Recent Topics Poster
Session: P
Location: Exhibit Hall (Northeast, Southwest & Southeast)/Hilton
Date: Sunday, July 8th, 2007
Time: 8:00 AM
Number: P79025
Abstract ID:2659

Copyright 2000-2007, Botanical Society of America. All rights