NEW BOTANIST - International Journal of Plant Science Research
  • Year: 2007
  • Volume: 34
  • Issue: 1–4

Genetic divergence in wheat (Triticum aestivum L.) doubled haploids under reclaimed sodic soils and waterlogging conditions

  • Author:
  • Neeraj Kulshreshtha1, K. N. Singh, Vinod Kumar1, Tim Setter1
  • Total Page Count: 10
  • Page Number: 103 to 112

Central Soil Salinity Research Institute, Karnal-320001.

1ACIAR Project Supervisor & Principal Scientist, Crop Improvement Institute, Department of Agriculture, South Perth, Western Australia, 6l 5l.

Abstract

A set of 210 genotypes consisting mainly of doubled haploid (OH) lines developed from cross between Oucula 4/2*Brookton along with some other genotypes was evaluated to study the nature of genetic divergence under drained (normal) and waterlogged (WL) conditions at Kamal. The adverse effect of WL was more pronounced in all the genotypes at 22 OAS as compared to 90 OAS. Cluster analysis showed that genotypes were grouped into 10, 10 and 6 clusters in normal and waterlogged at 22 and 90 OAS treatments. For WL at 22 OAS, clusters IV & VI were important for spike length, spike lets per spike, 1000 grain weight, biomass per plant, grain yield per plant and tillers per plant. However for WL at 90 OAS, clusters VI, II and III were found important for grain yield per plant, tillers/plant, biological yield per plant and grains per spike. The genotypes 01–40, 02–17, 03–19, 05–42 and 05–44 were common in the best two high yielding clusters for all the three situations. In addition to these, genotypes 01–15, 02–12, 04–25, 05–34, 05–36, 05–37 and 05–43 were common to high yielding clusters of both waterlogging conditions. The characters grain yield per plant, tillers per plant and biomass per plant exhibited maximum variation with respect to all the genotypes under the three situations. Although the OHs were products of only one backcross, there was huge diversity in the material. Cluster analysis has assisted in identifying.

Keywords

Wheat, doubled haploids, genetic divergence, water-logging, sodicity, non-hierarchical cluster analysis