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  • ThesisItemOpen Access
    Genetic divergence and stability studies in fenugreek (Trigonella foenum-graecum L.)
    (CCSHAU, Hisar, 2023-02) Chauhan, Ajay; Tehlan, Suresh Kumar
    The present investigation entitled “Genetic divergence and Stability studies in fenugreek (Trigonella foenum-graecum L.)” consisted of 50 fenugreek genotypes grown over eight environments during Rabi 2018-19 and 2019-20 in three replications. The characterization was done on the basis of 19 morpho-physiological traits to assess the genetic variability, heritability, genetic advance, to estimate the mutual correlations and path analysis and genetic divergence. An estimate of G×E interaction and stability analysis was done by using AMMI biplot model. These fenugreek genotypes under study contains ample amount of genetic variability so that these genotypes can be used in fenugreek breeding programs. In correlation studies, number of pods per plant, biological yield per plant and harvest index had highest degree of positive association with seed yield per plant over the different environment conditions. The main contributors to seed yield was harvest index, seed vigor index-1, standard germination percentage, number of pods per plant and biological yield per plant that showed maximum positive direct effect towards yield over the different environment conditions. According AMMI biplot analysis, genotypes JFG 224, LFC 90, HM 257-1-1, HM 362, HM 346, GM 2, JFG 80, AFG 8, LFC 72, UM 305, JFG 181, K. Gold and K. Silver were the most stable genotypes corresponding to different traits that could be used by breeders for further improvement in seed yield. Genotypes namely UM 301, JFG 180, NDM 79, HM 346, LFC 90, HM 257-1, RMT 361, HM 273, K. Silver, LFC 72, LFC 90 and RM 204 showed lowest DSI over different conditions represents that these are less affected by water stress at both the stages. Overall data gathered from this particular experiment helpful for determination of yield stability, provides estimation and prediction about yield and the pattern of genotypic response across environments; and at last provides reliable guidance for selecting the best genotypes for planting in future years and at new areas.