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利用Ｌａ Ｐｕｒｐｌｅ（Ｓ． ｏｆｆｉｃｉｎａｒｕｍ Ｌ．） Ｘ Ｍｏｌ ５８２９（Ｓ．ｒｏｂｕｓｔｕｍ Ｂｒａｎｄｓ ａｎｄ Ｊｅｓｗｉｅｔ ｅｘＧｒａｓｓｅｌ）杂交一代群体获得的ＲＦＬＰ和ＲＡＰＤ分子标记信息，用区间定位法（ ｉｎｔｅｒｖａｌ ｍａｐｐｉｎｇ）和单标记分析（ｐｏｉｎｔ ａｎａｌｙｓｉｓ）法测定控制转光度（％）、小区蔗茎产量、纤维分（％）和抽穗茎率的ＱＴＬ。选用与转光度和茎产量显著关联（Ｆ测验Ｐ＜０．０１或区间定位中ＬＯＤ＞２）的分子标记进一步对标记辅助选择的效果进行分析。对任一性状而言，与之显著关联的标记都含有正效应的和负效应的两类标记。由于单标记分析法可测定出未被归类到连锁群、但与ＱＴＬ有关联的标记，故其可测定到的显著性标记要比区间定位法的多。分析结果表明，控制转光度和茎产量的ＱＴＬ分散于多个连锁群中，而控制抽穗茎率的ＱＴＬ相对集中于较少的连锁群中。在利用分子标记进行性状选择时，增加用于辅助选择的标记数目将使入选群体的性状平均值增大，而使误选低值个体的可能性减小。在多标记辅助选择时，各个标记都选用正效应的状态（标记出现或缺失）所得到的标记组合将可选得性状平均值最大的入选群体。
RFLP and RAPD molecular marker information obtained from a population of crossbreds of La Purple (S. officinarum L.) X Mol 5829 (S.robustum Brands and Jeswiet ex Gerassel), using interval mapping and point analysis, Method was used to determine the QTL for control rotation (%), plot cane yield, fiber fraction (%) and heading percentage. The effect of marker-assisted selection was further analyzed using molecular markers that were significantly associated with photometry and stem yield (F test, P <0.01 or LOD> 2 in interval mapping). For any trait, the markers that are significantly associated with it contain two types of markers: positive and negative. Since single-marker analysis can determine markers that are not classified as linkage groups but are associated with QTL, they can detect more significant markers than interval mapping. The results showed that the QTLs controlling rotation and stem yield were distributed among multiple linkage groups, while the QTLs controlling heading rate of stems were relatively concentrated in fewer linkage groups. In the selection of traits using molecular markers, increasing the number of markers used for adjunct selection will increase the average of the traits of the selected population and reduce the probability of mistaking the low-value individuals. In the case of multiple marker-assisted selection, the combination of markers selected for each marker with a positive effect (marker presence or absence) will result in the selection of the population with the largest average of the traits.