Establishment and evaluation of a peanut association panel and analysis of key nutritional traits.
J Integr Plant Biol
; 60(3): 195-215, 2018 Mar.
Article
em En
| MEDLINE
| ID: mdl-28976623
ABSTRACT
Breeding programs aim to improve the yield and quality of peanut (Arachis hypogaea L.); using association mapping to identify genetic markers linked to these quantitative traits could facilitate selection efficiency. A peanut association panel was established consisting of 268 lines with extensive phenotypic and genetic variation, meeting the requirements for association analysis. These lines were grown over 3 years and the key agronomic traits, including protein and oil content were examined. Population structure (Q) analysis showed two subpopulations and clustering analysis was consistent with Q-based membership assignment and closely related to botanical type. Relative Kinship (K) indicated that most of the panel members have no or weak familial relatedness, with 52.78% of lines showing K = 0. Linkage disequilibrium (LD) analysis showed a high level of LD occurs in the panel. Model comparisons indicated false positives can be effectively controlled by taking Q and K into consideration and more false positives were generated by K than Q. A preliminary association analysis using a Q + K model found markers significantly associated with oil, protein, oleic acid, and linoleic acid, and identified a set of alleles with positive and negative effects. These results show that this panel is suitable for association analysis, providing a resource for marker-assisted selection for peanut improvement.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Arachis
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Característica Quantitativa Herdável
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Estudos de Associação Genética
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Fenômenos Fisiológicos da Nutrição
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
J Integr Plant Biol
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
China