International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2018, Volume : 6, Issue : 1
First page : (1399) Last page : (1408)
Article doi: http://dx.doi.org/10.18782/2320-7051.6347
Generation Mean Analysis for Yield and Drought Related Traits in Barley (Hordeum vulgare L.)
Kuduka Madhukar*, L. C. Prasad, J. P. Lal, Ravindra Prasad and Kailash Chandra
Department of Genetics and Plant Breeding Institute of Agricultural Sciences,
Banaras Hindu University, Varanasi, India
*Corresponding Author E-mail: kuduka_madhukar@yahoo.com
Received: 9.01.2018 | Revised: 13.02.2018 | Accepted: 16.02.2018
ABSTRACT
Six generations of two barley crosses were used for computation of generation mean analysis under rainfeed and irrigation conditions for yield and drought related traits. Epistasis was observed for all the traits studied in two crosses in both the conditions except for the proline content in irrigated condition, as it is apparent from the significance of one or more of the four scales (A, B, C and D scales). The dominance × dominance (l) interaction was larger than the additive × additive (i) and additive × dominance (j) effects put together, while for the main effects, the dominance component (h) was greater than the additive (d) component under both irrigated and rainfed conditions. The results of the present study confirmed that yield related traits like number of grains per spike, grain weight per spike, 100-grain weight and grain yield per plant along with stress related traits like stomatal conductance and proline content were predominantly influenced by dominance (h) and dominance × dominance (l) gene action. Therefore, selection of these traits will be difficult in the early generations.
Key words: Gene action, Drought tolerance, Barley and Generation mean.
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782
Cite this article: Madhukar, K., Prasad, L.C., Lal, J.P., Prasad, R. and Chandra, K., Generation Mean Analysis for Yield and Drought Related Traits in Barley (Hordeum vulgare L.), Int. J. Pure App. Biosci.6(1): 1399-1408 (2018). doi: http://dx.doi.org/10.18782/2320-7051.6347
