Quantitative trait loci for lodging resistance in a segregating wheat×spelt population

• Published in: Theoretical and applied genetics Vol. 98; no. 6-7; pp. 1171 - 1182
• Main Authors: KELLER, M, KARUTZ, C, SCHMID, J. E, STAMP, P, WINZELER, M, KELLER, B, MESSMER, M. M
• Format: Journal Article
• Language: English
• Published: Heidelberg Springer 01.05.1999; Berlin Springer Nature B.V
• Subjects: Agricultural production; Barley; Bending stresses; Biological and medical sciences; Cereals; Classical genetics, quantitative genetics, hybrids; Fundamental and applied biological sciences. Psychology; Genetics of eukaryotes. Biological and molecular evolution; Morphology; Pathogens; Pteridophyta, spermatophyta; Vegetals; Switzerland; Genetic mapping; Monocotyledones; Quantitative character; Chromosome; Lodging; Genetic character; Cereal crop; Triticum spelta; Resistance; Gramineae; Morphology; Angiospermae; Interspecific hybridization; Spermatophyta; Triticum aestivum
• ISSN: 0040-5752; 1432-2242
• DOI: 10.1007/s001220051182

Lodging can strongly affect both the grain yield and the quality of wheat. Lodging represents a quantitative trait and is difficult to assess on a phenotypic basis. Marker-assisted selection (MAS) could therefore become an important tool in breeding for lodging resistance. In this study, we mapped and characterised quantitative trait loci (QTLs) for lodging resistance, as well as morphological traits correlated with lodging, in a segregating population of 226 recombinant inbred lines derived from the cross of the lodging-resistant wheat variety Forno with the susceptible spelt variety Oberkulmer. Lodging, plant height, leaf width, leaf-growth habit, culm stiffness, culm swinging, culm thickness, days to ear emergence and days to flowering were assessed in field trials at two locations in 1996 and at one location in 1997. Additionally, at one location weight and length parameters were also assessed. Plant height and culm stiffness explained 77% of the phenotypic variance of lodging in a multiple regression model over all three environments. QTL analysis of lodging and morphological parameters was based on a genetic map containing 230 loci with 23 linkage groups (2469cM). With the method of composite interval mapping nine QTLs for lodging resistance were detected, explaining 63% of the phenotypic variance in a simultaneous fit. Seven of these QTLs coincided with QTLs for morphological traits, reflecting the correlations between these traits and lodging. In our population the most efficient way to improve lodging resistance would be by a combination of indirect selection on plant height and culm stiffness together with MAS on the two QTLs for lodging resistance which did not coincide with QTLs for morphological traits.[PUBLICATION ABSTRACT]