Evaluation of Triticale (×Triticosecale) genotypes for determination of selection parameters, trait associations and genetic diversity usinggrain yield and quality traits

GURVINDER SINGH  MAVI; SANJAY KUMAR  SINGH

doi:10.56093/ijas.v96i03.164003

Authors

GURVINDER SINGH MAVI Punjab Agricultural University, Ludhiana, Punjab 141 004, India
SANJAY KUMAR SINGH ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India

https://doi.org/10.56093/ijas.v96i03.164003

Keywords:

Correlation, Genetic divergence, Grain quality, Path analysis, Principle component analysis

Abstract

The study was carried out for two consecutive winter (rabi) seasons i.e. 2019–20 and 2020–21 at Punjab Agricultural University, Ludhiana, Punjab to explore trait relationship and genetic divergence for yield and grain quality traits among 20 triticale (×Triticosecale Wittm. ex A. Camus) genotypes. The experimental trials were laid out in a randomised complete block (RCBD) design with three replications. The traits assessed were Grain yield/plot (kg), Test weight (kg/hL) (TW), 1000-grains weight (g) (TGW), Grain appearance score (GAS), Phenol reaction score (PRS) and Sedimentation value (SDS-SV) and Grain protein content (GPC in %). The results indicated significant differences among the genotypes for various traits studied. Grain yield, grain protein content, phenol reaction and sedimentation value showed high heritability and genetic advance values. Grain yield had highly significant and positive association with GPC, sedimentation and TGW. Path analysis revealed GPC, test weight and TGW as major components for grain yield. Relative genetic distances grouped genotypes into five clusters of which cluster II was largest with nine genotypes. The inter-cluster distance was found maximum between cluster I and IV whereas maximum intra-cluster distance was observed for cluster V. Test weight, TGW and GAS contributed more than 70% of the total divergence. Principal component analysis (PCA) indicated capturing of major variability by two components PC1 and PC2. Genotypes T3940, T3949, T3973, T3974, T3975, T3979 were the promising genotypes for future triticale improvement programme.

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