GENERATION MEAN ANALYSIS FOR QUALITY TRAITS IN FODDER COWPEA [VIGNA UNGUICULATA (L.) WALP]

MOHIT JAIN, DEVINDER PAL SINGH* AND MEENAKSHI GOYAL
Department of Plant Breeding and Genetics
Punjab Agricultural University, Ludhiana-141 004 (Punjab), India
*(e-mail : devinderpal301@pau.edu)
(Received : 24 April, 2022; Accepted : 08 June, 2022)

SUMMARY

The objective of the present investigation was to estimate genetic variation and type of gene action controlling quality traits of two cowpea crosses viz., C 74 × C 88 and C 74 × CL 400 by six parameter generation mean analysis. The quality traits studied were green fodder yield, dry matter yield, crude protein (%), acid detergent fibre (%) and neutral detergent fibre (%). The results indicated that the mean effects were highly significant and the traits were quantitatively inherited. Additive and dominant gene effects are highly significant for all traits. The high magnitude of additive x additive gene effect suggests the pedigree method is best suitable breeding method for development of high yielding fodder cultivars with better quality traits.

Key words: Cowpea, Quality traits, generation mean analysis

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