ESTIMATING GENETIC DISTANCE AMONG MAIZE INBREDS FOR PREDICTING HYBRID MEAN PERFORMANCE AND SPECIFIC COMBINING ABILITY

Document Type : original papers

Authors

1 Crop Science Dept., Faculty of Agriculture, Menoufia Univ., Egypt

2 Maize Research Section, Field Crops Research Institute, ARC, Egypt

3 Crop Science Department, Faculty of Agriculture, Menoufia University, Egypt.

4 Agricultural Genetic Engineering Research Institute (AGERI), ARC, Giza, Egypt

5 Crop science Faculty of agriculture Menoufia university

Abstract

Estimating genetic distance (GD) among lines of maize and the relationship between GD estimates and hybrid performance might be utilized to categorize inbred lines, create heterotic groups, and predict future hybrid performance. A lab experiment used ten inter-simple sequence repeats (ISSR) primers to identify polymorphism in ten inbred lines. In a one-year field trial with a randomized complete blocks design with triplicates, the F1 diallel crosses were assessed under well-watered and severe stress conditions. Across the ten maize-inbreds, these ten ISSR primers generated 132 amplified fragments, 67 (52.4%) of which, were polymorphic, with an average of 6.7 polymorphic fragments per primer. The range of amplified fragments was eight (ISSR-14) to 19 (ISSR-11). Based on ISSR markers, the genetic similarity coefficients varied from 0.72 (between P5 and P6) to 0.88 (between P7 and P10), with an average of 0.78, among the ten inbreds of maize. Specific bands related to inbred lines of corn were discovered. The findings demonstrated a non-significant and negative correlation between the genetic distance among inbred lines based on ISSR markers and any of the mean performance or specific combining ability of grain yield/fad under severely stressed or well-watered conditions. The findings might assist breeders of maize in a more skillful choose of parental inbred lines to produce hybrids with high mean grain yields.

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Menoufia Journal of Plant Production
Volume 9, Issue 10
October 2024
Pages 351-361

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