GENETIC VARIABILITY AND DIVERSITY ANALYSIS FOR THE SELECTION OF DIVERSE INBRED LINES IN MAIZE (ZEA MAYS L.) CROP

RAHUL SINGH1, S.K. SINHA2*, DINESH THAKUR3, KIRAN TIGGA4
1RMD College of Agriculture and Research Station, Ambikapur, 497001, Indira Gandhi Krishi Vishwavidyalaya, Raipur, 492012, Chhattisgarh, India
2RMD College of Agriculture and Research Station, Ambikapur, 497001, Indira Gandhi Krishi Vishwavidyalaya, Raipur, 492012, Chhattisgarh, India
3RMD College of Agriculture and Research Station, Ambikapur, 497001, Indira Gandhi Krishi Vishwavidyalaya, Raipur, 492012, Chhattisgarh, India
4RMD College of Agriculture and Research Station, Ambikapur, 497001, Indira Gandhi Krishi Vishwavidyalaya, Raipur, 492012, Chhattisgarh, India
* Corresponding Author : santoksinha@yahoo.co.in

Received : 11-03-2019     Accepted : 15-04-2019     Published : 30-04-2019
Volume : 11     Issue : 4       Pages : 578 - 582
Genetics 11.4 (2019):578-582

Keywords : Genetic Variability, GCV, PCV, h2, Diversity, Cluster Analysis, D2, Cluster Distance
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to ICAR-Indian Institute of Maize Research, Ludhiana. Authors are also thankful to RMD College of Agriculture and Research Station, Ambikapur, 497001, Indira Gandhi Krishi Vishwavidyalaya, Raipur, 492012, Chhattisgarh
Author Contribution : All authors equally contributed

Cite - MLA : SINGH, RAHUL, et al "GENETIC VARIABILITY AND DIVERSITY ANALYSIS FOR THE SELECTION OF DIVERSE INBRED LINES IN MAIZE (ZEA MAYS L.) CROP." International Journal of Genetics 11.4 (2019):578-582.

Cite - APA : SINGH, RAHUL, SINHA, S.K., THAKUR, DINESH, TIGGA, KIRAN (2019). GENETIC VARIABILITY AND DIVERSITY ANALYSIS FOR THE SELECTION OF DIVERSE INBRED LINES IN MAIZE (ZEA MAYS L.) CROP. International Journal of Genetics, 11 (4), 578-582.

Cite - Chicago : SINGH, RAHUL, S.K. SINHA, DINESH THAKUR, and KIRAN TIGGA. "GENETIC VARIABILITY AND DIVERSITY ANALYSIS FOR THE SELECTION OF DIVERSE INBRED LINES IN MAIZE (ZEA MAYS L.) CROP." International Journal of Genetics 11, no. 4 (2019):578-582.

Copyright : © 2019, RAHUL SINGH, et al, Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

Wide range of genetic variation among the studied genotypes for genetic variability and diversity analysis was observed for traits viz. days to 50% tasseling, days to 50% silking, days to 80% maturity, final plant stand, plant height, ear height, ear length, ear girth, number of cobs per plot, number of kernel rows per cob, number of kernels per row, test weight, shelling percentage and grain yield. High heritability coupled with high genetic advance as percentage of mean was recorded for grain yield, test weight, ear height, number of cobs per plot, number of kernels per row, number of kernel rows per cob, ear length, ear girth and plant height. Maximum contribution in percentage towards total genetic divergence was obtained for trait number of kernel rows per cob followed by number of cobs per plot, test weight, number of kernels per row and ear length. On the basis of D2 values, the 196 genotypes were grouped into 8 clusters. Cluster I and II were the largest clusters with 34 genotypes followed by cluster III (31 genotypes), cluster V (23 genotypes), cluster VII (21 genotypes), cluster VIII (20 genotypes), cluster VI (17 genotypes) and cluster IV with 12 genotypes. The cluster IV had the maximum D2 value (2.950) followed by Cluster VIII (D2=2.856) and Cluster III (D2=2.702). The inter cluster D2 values of the eight clusters revealed that highest inter cluster generalized distance (D2= 6.765) was between cluster IV and cluster VI, while the lowest (D2 = 2.257) between cluster I and cluster VII.

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