Articles
QTL (QUANTITATIVE TRAIT LOCI) ANALYSIS IN GUAVA
Article number
849_21
Pages
193 – 202
Language
English
Abstract
QTL analyses have been performed in three guava mapping populations (Enana × N6; MP1, Enana × Suprema Roja; MP2 and Enana times; Belic L-207; MP3) based on the interval mapping method.
Sixteen different traits related to leaf and fruit morphology, fruit characteristics, fruit quality, plant height and yield were recorded in the parents and progeny genotypes of the three mapping progenies.
Sufficient variation was available for all characters allowing an efficient QTL analysis.
The coefficients of variation (CV) depended strongly on the particular trait under evaluation and ranged from 5.7 to 65.2%. Several significant correlations were detected within leaf, fruit and yield traits which were generally similar in the different progenies.
QTLs were detected for all traits under study.
A total of 75, 56 and 59 QTLs were detected in populations MP1, MP2 and MP3, respectively.
QTL numbers per trait varied between two and seven.
Individual QTLs explained between 2.6 and 31.6% of the variance.
Total variance explained by the sum of all detected QTLs varied between 6.6 for only one detected QTL and 68.3% between traits and populations.
QTLs were integrated in the corresponding linkage maps.
QTLs for different traits are co-located in these maps, reflecting the observed correlations between characters.
Some of the QTLs are also co-located or closely linked to SSR markers, which will allow an efficient selection for marker assisted breeding in different genetic backgrounds.
Sixteen different traits related to leaf and fruit morphology, fruit characteristics, fruit quality, plant height and yield were recorded in the parents and progeny genotypes of the three mapping progenies.
Sufficient variation was available for all characters allowing an efficient QTL analysis.
The coefficients of variation (CV) depended strongly on the particular trait under evaluation and ranged from 5.7 to 65.2%. Several significant correlations were detected within leaf, fruit and yield traits which were generally similar in the different progenies.
QTLs were detected for all traits under study.
A total of 75, 56 and 59 QTLs were detected in populations MP1, MP2 and MP3, respectively.
QTL numbers per trait varied between two and seven.
Individual QTLs explained between 2.6 and 31.6% of the variance.
Total variance explained by the sum of all detected QTLs varied between 6.6 for only one detected QTL and 68.3% between traits and populations.
QTLs were integrated in the corresponding linkage maps.
QTLs for different traits are co-located in these maps, reflecting the observed correlations between characters.
Some of the QTLs are also co-located or closely linked to SSR markers, which will allow an efficient selection for marker assisted breeding in different genetic backgrounds.
Authors
E. Ritter, N.N. Rodríguez-Medina, B. Velásquez, D. Rivero, J.A. Rodríguez, F. Martínez, J. Valdés-Infante
Keywords
linkage map, SSR, AFLP, vegetative traits, fruit characteristics, vitamin C
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