Detection of QTLs associated with growth, latex production and quality for the development of Marker assisted selection (Hevea brasiliensis)

Rattanawong Ratchanee, Prapan Kanlaya, Lekawipat Napawan, Teerawatanasuk Kannikar, Kasemsap Poonpipope, Bonfils Frédéric, Char Christine, Delpuech Elodie, Seguin Marc, Clément-Demange André. 2009. Detection of QTLs associated with growth, latex production and quality for the development of Marker assisted selection (Hevea brasiliensis). In : 3rd IRRDB Workshop on the Hevea Genome and Transcriptome (Book of abstracts), 3-5 June, 2009, Montpellier, France. CIRAD, IFC, IRRDB. Montpellier : CIRAD, Résumé, 10. IRRDB Workshop on the Hevea Genome and Transcriptome. 3, Montpellier, France, 3 Juin 2009/5 Juin 2009.

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550368.pdf
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Résumé : The objective of this study was to analyse the genetic determinism of the traits of interest for rubber tree breeding through QTL mapping approach: growth, latex production and rubber quality. The plant material consisted of 196 progenies derived from the F1 family RRIM600 x PB217. A genetic linkage map was built for this family with 229 SSR markers (microsatellites) and 198 AFLP markers. Phenotyping was carried out over a 6- year period on a field trial of 5 hectares, with around 2400 trees measured individually. Unexpected results were obtained with the identification of 1 QTL with major effects for each of the 2 traits, growth and latex production. The 2 parents, RRIM600 and PB217 bring a favourable allele at these 2 main QTLs. This result proved that, even in the genetic pool of elite varieties (Wickham clones), a significant genetic progress is still possible in rubber tree breeding, and that it can be monitored using marker aided selection. A second interesting result is the identification of pleiotropy of at least one major QTL, with effects on traits such as latex production and rubber quality.

Mots-clés Agrovoc : Hevea brasiliensis

Mots-clés géographiques Agrovoc : France, Thaïlande

Classification Agris : F30 - Génétique et amélioration des plantes

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