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Vol. 11, Special Issue 9 (2022)

Population structure analysis for white rust and economically important traits in Indian mustard

Author(s):
Richa Sharma, Manmohan Sharma and RK Salgotra
Abstract:
Ninety genotypes of Brassica juncea belonging to European and Indian gene pool were evaluated for five economically important traits such as white rust resistance, grain yield/plant (g), oil content (%), erucic acid (%) and glucosinolates (µmole/g). Three genotypes (Donskaja IV, Domo and Cutlass) showed no infection and they were considered as immune against white rust.Maximum grain yield/plant was recorded in the genotypes DRMR-2017 (19.07 g) followed by J807/1/6 (18.36 g) and Vardan (17.72 g). Maximum oil content was found in PGR 12573 and EC 287711 (44.16%) followed by Stoke (44.01%) and Jubilejnaja (43.54%). Minimum erucic acid (12.18%) and glucosinolate content (28.92 µmole/g) content was found in genotypes Donskaja IV and Heera, respectively. The genotypes were grouped into different clusters using R-Studio software. The population was divided mainly in two main clusters and five clusters indicating significant genetic variation in the germplasm. The maximum cluster distance (83.27) was observed between cluster 3 and cluster 5 followed by cluster 2 and cluster 5 (29.20) and between cluster 1 and cluster 3 (57.72). It indicated maximum genetic diversity between these pair of clusters; and possibility of developing high yielding, better quality and white rust resistant genotypes through hybridization between genotypes belonging to contrasting clusters.
Pages: 795-799  |  213 Views  71 Downloads
How to cite this article:
Richa Sharma, Manmohan Sharma and RK Salgotra. Population structure analysis for white rust and economically important traits in Indian mustard. The Pharma Innovation Journal. 2022; 11(9S): 795-799.

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