The quantitative trait loci （QTLs） analysis for flower traits were performed based on three crossing of Coffea canephora in Indonesia. This study successfully identified 19 QTLs related to flowering. These QTLs cons...The quantitative trait loci （QTLs） analysis for flower traits were performed based on three crossing of Coffea canephora in Indonesia. This study successfully identified 19 QTLs related to flowering. These QTLs consisted of 1） three QTLs associated with green candle flowering time located at linkage groups of A and D; 2） one QTL associated to white candle flowering time located at linkage groups of B; 3） two QTLs associated to blossom flowering time located at linkage groups of B; 4） two QTLs associated to number of flowers located at linkage groups of G and H; 5） five QTLs associated to score of flowers quality located at linkage groups of A, C and D; 6） five QTLs associated to number of star flowers located at linkage groups of D, E, F and G. Due to some QTLs are overlapping on the same linkage group, thus, these 19 QTLs for flower traits might be considered as 15 different ones which distributed on 14 regions of the eight linkage groups. Although pleiotropic genes might be the most likely explanation for the collocation of these QTLs, the present data are not sufficient to distinguish between a pleiotropic gene and a cluster of different loci controlling several traits. These results can be a first step for molecular breeding on Robusta coffee mainly in order to improve potential suitable characteristics such as number of flowers and number of normal flowers as well as to reduce adverse characteristics such as number of star flowers.展开更多
文摘The quantitative trait loci （QTLs） analysis for flower traits were performed based on three crossing of Coffea canephora in Indonesia. This study successfully identified 19 QTLs related to flowering. These QTLs consisted of 1） three QTLs associated with green candle flowering time located at linkage groups of A and D; 2） one QTL associated to white candle flowering time located at linkage groups of B; 3） two QTLs associated to blossom flowering time located at linkage groups of B; 4） two QTLs associated to number of flowers located at linkage groups of G and H; 5） five QTLs associated to score of flowers quality located at linkage groups of A, C and D; 6） five QTLs associated to number of star flowers located at linkage groups of D, E, F and G. Due to some QTLs are overlapping on the same linkage group, thus, these 19 QTLs for flower traits might be considered as 15 different ones which distributed on 14 regions of the eight linkage groups. Although pleiotropic genes might be the most likely explanation for the collocation of these QTLs, the present data are not sufficient to distinguish between a pleiotropic gene and a cluster of different loci controlling several traits. These results can be a first step for molecular breeding on Robusta coffee mainly in order to improve potential suitable characteristics such as number of flowers and number of normal flowers as well as to reduce adverse characteristics such as number of star flowers.
