conference schedule and program with abstracts - Horticulture ...
conference schedule and program with abstracts - Horticulture ...
conference schedule and program with abstracts - Horticulture ...
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P-1<br />
Genetic characterization based on the best linear unbiased predictor (BLUP) of traits<br />
related to the cluster architecture of Vitis vinifera L.<br />
J. Correa 1,2 , D. Laborie 1 , X. Casanueva 1,3 , N. Mejía 1 , P. Hinrichsen* 1 , M. Pinto 1,2<br />
1 Chilean National Institute of Agriculture Research, Santiago, Chile; 2 University of Chile,<br />
Santiago, Chile; 3 Andrés Bello University, Santiago, Chile.<br />
*Corresponding author: phinrichsen@inia.cl<br />
A characterization of the genotypic effect <strong>and</strong> the genotype × GA 3 treatment interaction (g×t) of<br />
several traits associated <strong>with</strong> cluster architecture was done using a BLUP analysis on a progeny<br />
of 144 individuals obtained from a crossing of ‘Ruby Seedless’ × ‘Sultanina’. Cluster traits (23)<br />
such as length (rl), fresh weight (rfw), number of internodes (rni), lateral shoulder length (rsl),<br />
peduncle diameter (pd), <strong>and</strong> total number of berries (tb) were measured. BLUP values were<br />
calculated according to a model selected using Akaike <strong>and</strong> to Bayesian criteria <strong>and</strong> tested by<br />
likelihood ratio. GA 3 significantly modified the phenotype distribution curve of several traits by<br />
increasing the variances <strong>and</strong> the medians. The genotype effects were significant for all the traits.<br />
The g×t was significant for rl <strong>and</strong> rfw. The matrix correlation <strong>and</strong> multivariate factorial analysis<br />
of BLUPs showed highly significant correlations <strong>and</strong> a latent correlation structure among the<br />
traits. The BLUPs of rl, rfw, rni, pd <strong>and</strong> rsl were all included in the first factor <strong>and</strong> those of g×t in<br />
the fourth factor. A cluster analysis revealed a high diversity among genotypes. From a<br />
quantitative trait loci (QTL) analysis, it was found that the linkage group 18 (LG18) in different<br />
loci harbored four significant QTLs for rl, rni <strong>and</strong> tb. LG5 harbored two significant <strong>and</strong><br />
coincident QTLs for rfw <strong>and</strong> rsl. Considering g×t, one significant QTL was mapped for rl in<br />
LG14 <strong>and</strong> other for rfw in LG17. In conclusion, the different cluster architectural traits have<br />
significant genotype effects. On the other h<strong>and</strong>, the QTLs detected indicate that rl, rfw, rni, pd,<br />
rsl <strong>and</strong> g×t have a clear genetic basis <strong>and</strong> due to their importance in the total variance they are<br />
good determinants of the cluster architecture.<br />
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