Molecular marker variability for southern root-knot nematode resistance in sweetpotato

• Published in: Euphytica Vol. 144; no. 1-2; pp. 125 - 132
• Main Authors: Mcharo, M, LaBonte, D.R, Clark, C, Hoy, M, Oard, J.H
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer 01.07.2005; Springer Nature B.V
• Subjects: Agronomy. Soil science and plant productions; amplified fragment length polymorphism; analysis of molecular variance; analysis of variance; Biological and medical sciences; chromosome mapping; Comparative analysis; Discriminant analysis; Fundamental and applied biological sciences. Psychology; Genetic diversity; genetic markers; Genetics and breeding of economic plants; genotype; Genotypes; Ipomoea batatas; Meloidogyne incognita; Multivariate analysis; Nematodes; pest resistance; root-knot nematodes; sweet potatoes; Varietal selection. Specialized plant breeding, plant breeding aims; Discriminant analysis; Meloidogyne; Molecular marker; Convolvulaceae; Logistic regression; Pest; Ipomoea; Meloidogyne incognita; Dicotyledones; Angiospermae; Genetic improvement; Helmintha; Meloidogynidae; Pest resistance; Nemathelminthia; Spermatophyta; Tuber plant; Invertebrata; Ipomoea batatas; Nematoda
• ISSN: 0014-2336; 1573-5060
• DOI: 10.1007/s10681-005-5271-3

Amplified fragment length polymorphism (AFLP) marker profiles for individuals in two F1 populations of sweetpotato [Ipomoea batatas (L.) Lam] were used in association studies to identify AFLP markers suitable for identification of plants possessing a resistant reaction to southern root-knot nematode race 3 [Meloidogyne incognita (Kofoid and White) Chitwood]. Population one consisted of 48 half-sib genotypes developed at the Louisiana State University (LSU) AgCenter. The second population consisted of 54 full-sibs developed by the East African and International Potato Center (CIP) sweetpotato breeding programs. Results for plant nematode resistance indicate a bimodal distribution among the genotypes for the LSU population and a normal distribution for the CIP population. Using analysis of molecular variance (AMOVA) at P < 0.001 and two multivariate analysis techniques i.e logistic regression and discriminant analysis, 5 and 4 AFLP markers that had a strong and significant association with respect to the resistance trait were selected for the LSU and CIP populations, respectively. A comparative analysis of the power of discriminant analysis models for southern root-knot nematode resistance class prediction achieved 88.78% (LSU) and 88.04% (CIP) classification efficiencies.[PUBLICATION ABSTRACT]