Triticeae Genomics and Genetics 2014, Vol.5, No.1, 1-6
http://tgg.biopublisher.ca
1
Research Report Open Access
Estimation of Gene Effects for Grain Yield and its Related Traits under Normal
and Saline Sodic Soil in Barley (
Hordeum Vulgare
L.)
Raikwar Rudrasen Singh
Jawaharlal Nehru Krishi Vishwa Vidyalaya, Department of Genetics and Plant Breeding, College of Agriculture, Tikamgarh (M.P.) India-472001
Corresponding author email:
rudrasen_singh@rediffmail.com
Triticeae Genomics and Genetics, 2014, Vol.5, No.1 doi: 10.5376/tgg.2014.05.0001
Received: 10 Nov., 2014
Accepted: 19 Dec., 2014
Published: 29 Dec., 2014
Copyright
©
2014 Singh, This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use,
distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:
Singh, 2014, Estimation of Gene Effects for Grain Yield and its Related Traits Under Normal and Saline Sodic Soil in Barley (
Hordeum Vulgare
L.), Triticeae
Genomics and Genetics, Vol.5, No.1 1
-
6 (doi: 10.5376/tgg.2014.05.0001)
Abstract
Six generations (P
1
, P
2
, F
1
, F
2
, BC
1
and BC
2
) of three barley crosses were used for computation of generation mean
analysis under normal and saline sodic soil conditions for yield contributing traits. In general, magnitude of dominance effect (h) has
a greater value than additive effect (d) in all the traits. It is obvious that non-fixable gene effects (h), (j) and (l) were higher than the
fixable (d) (i) in all the crosses in all the characters, indicating greater role of non-additive effects in the inheritance of all the
characters. Both additive (d) and dominance (h) gene effects were important for all the traits. It is obvious that non-fixable gene
effects (h) (j) and (l) were higher than the fixable (d) (i) in all the crosses for all the characters, indicating greater role of non-additive
effects in the inheritance of all the characters studied.
Keywords
Barley; Gene effects; Generation mean analysis; Quantitative trait; Recurrent selection; Scaling test
Introduction
Barley (
Hordeum vulgare
L.) a member of Poaecae
family, it is an important
rabi
cereal crop of India,
being grown in northern plains of country,
representing the states of Rajasthan U.P., Haryana.
M.P., Punjab, Bihar and Jharkhand in plains and
Himachal Pradesh, Uttarakhand and Jammu &
Kashmir in the hills. Barley occupies nearly 6.9 lakh
ha area producing nearly 15.52 lakh tones grain, with
a per hectare productivity of 22.45 q. Recently
Rajasthan has taken up as number one barley
producing state replacing U.P. and the change is
mainly because of the shortage of rainfall and
irrigation water experienced during past few years
during the crop season. Since long it has been
considered, as poor man's crop because of its low
input requirement and better adaptability to harsh
environments, like drought, salinity and alkalinity and
marginal lands. Though major production is utilized as
cattle feed and food, recent increase in industrial
demand of barley as raw material resulted in its
consideration as industrial crop. In addition to the use
in feed and malt, barley is the main staple food crop in
the tribal areas of the plains as well as hills. It is also
utilized in preparation of the local beverages like sattu
and chhang etc., which of course are common in the
plains as well as in hills. In the modern time it is also
preferred as medicinal food in urinary as well as
cardiac problems. The changing climatic scenario in
country for temperature, rainfall and crop duration has
made it also a potential crop for near future, when we
expect reduction in availability of all such resources.
Understanding of the genetics underlying these traits
is imperative for efficient management of available
genetic variability and formulation of systematic
breeding programmes. Few genetic studies have been
conducted to understand the genetic control of grain
yield and its component traits in barley. These studies
have shown that both additive and non-additive genes
control the grain yield in barley. The detection and
estimation of epistasis would also enable the breeders
to understand the genetic cause of heterosis with
greater reliability. The presence or absence of epistasis
can be detected by the analysis of generation means
using the scaling test, which measures epistasis
accurately whether it is complementary (additive ×
additive) or duplicate (additive × dominance) at the
digenic level reported by Sharmila V. (2005). The
present research was aimed to generate information on
the nature of gene action in barley to decide selection