EVALUATION DIFFERENCES BETWEEN HAPLOID AND DIPLOID MAIZE SAMPLES AND CUT-OFF POINTS DETERMINATION FOR SEPARATION HAPLOIDS USING DECISION TREE TECHNIQUE

This study aims to assess the discrimination success of these measurements on seeds, germinated seeds, and seedlings of haploid and diploid maize samples, using cytogenetic verification by acetocarmin staining. This study was conducted in the Laboratory of Field Crops, & Ccedil;anakkale Onsekiz Mart University. The decision tree method was used to determine which of the measured traits was effective in differentiating haploid/diploid samples. The results of study showed that the success of visual discrimination according to Navajo marker was 85% for haploid samples and 96% for diploid samples. Differences between haploid and diploid samples varied by donor material, with hybrid donors showing more pronounced disparities. Decision tree analysis revealed that the root length and seed circumference as effective traits to distinguish haploids from diploids. In conclusion, visual differentiation based only seed coloration can be misleading, highlighting the importance of multiple measurements for accurate haploid identification using the in vivo doubled haploid technique.