An Overview of Mapping Quantitative Trait Loci in Peanut (Arachis hypogaea L.)
2023
Kassie, Fentanesh, C. | Nguepjop, Joël, R. | Ngalle, Hermine, B. | Assaha, Dekoum, V. M. | Gessese, Mesfin, K. | Abtew, Wosene, G. | Tossim, Hodo-Abalo | Sambou, Aissatou | Seye, Maguette | Rami, Jean-François | Fonceka, Daniel | Bell, Joseph, M. | University of Yaoundé 1 = Université de Yaoundé I | Wolaita Sodo University | Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM) | Département Systèmes Biologiques (Cirad-BIOS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad) | Centre d'Etude Regional Pour l'Amelioration de l'Adaptation A la Secheresse (CERAAS) | Institut sénégalais de recherches agricoles [Dakar] (ISRA) | University of Buéa | College of Agriculture and Veterinary Medicine ; Jimma University [Ethiopia] | The authors thank the GENES program of the intra-Africa Academic Mobility scheme of the European Union (EU-GENES: EACEA/2917/2552,) for providing a PhD scholarship.
International audience
显示更多 [+] 显示较少 [-]英语. Quantitative Trait Loci (QTL) mapping has been thoroughly used in peanut genetics and breeding in spite of the narrow genetic diversity and the segmental tetraploid nature of the cultivated species. QTL mapping is helpful for identifying the genomic regions that contribute to traits, for estimating the extent of variation and the genetic action (i.e., additive, dominant, or epistatic) underlying this variation, and for pinpointing genetic correlations between traits. The aim of this paper is to review the recently published studies on QTL mapping with a particular emphasis on mapping populations used as well as traits related to kernel quality. We found that several populations have been used for QTL mapping including interspecific populations developed from crosses between synthetic tetraploids and elite varieties. Those populations allowed the broadening of the genetic base of cultivated peanut and helped with the mapping of QTL and identifying beneficial wild alleles for economically important traits. Furthermore, only a few studies reported QTL related to kernel quality. The main quality traits for which QTL have been mapped include oil and protein content as well as fatty acid compositions. QTL for other agronomic traits have also been reported. Among the 1261 QTL reported in this review, and extracted from the most relevant studies on QTL mapping in peanut, 413 (~33%) were related to kernel quality showing the importance of quality in peanut genetics and breeding. Exploiting the QTL information could accelerate breeding to develop highly nutritious superior cultivars in the face of climate change.
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