Identification of genetic variation in bread wheat quality characteristics in the Western Cape
Loading...
Files
Date
Authors
Barnard, Anri Danelle
Journal Title
Journal ISSN
Volume Title
Publisher
University of the Free State
Abstract
Showing abstract in English
English: 1. The objective of this study was to select environmentally stable parental lines,
and to determine the heritability of quality characteristics, the correlation
between these characteristics, the combining ability of these quality
characteristics, and the selection response.
2. A parental trial was planted at two diverse environments namely langgewens
and Tygerhoek, to determine the influence of environment on the different
quality traits and parents. locality had a significant influence on most of the
characteristics (FPC, EX, FCL, MDT, FA, LFV, BSI,TKM and yield) whereas HlM,
FSTand FOT were not influenced by the environment.
3. A correlation matrix performed on the collected data from the two localities
showed that correlations tend to be environment specific. There were no
consistent correlations between characteristics across envi ronments.
4. As expected, locality had a significant influence on most of the quality
characteristics. Parents should be selected on average performance across
localities. Kariega, SST 57 and Palmiet showed the least interaction with the
environment and should therefore be considered as parents. Gamtoos was the
best parent for FA and FST, but because of the 1B/1R translocation's negative
effect on quality, this cultivar should be avoided as a parental line to improve
quality.
5. At langgewens a diallel trial was conducted, on the parents and the F2 progeny,
to determine the correlations, heritability, combining ability and selection
response of the different quality characteristics.
6. Significant effects were found over the four replications for some of the quality
characteristics. From this trial, Palmiet, Kariega, Nantes and SST57 were found
to perform very well. Nantes and Kariega were involved in almost all the best
performing F2 combinations and even though the progeny was F2, some
heterosis was stiII evident.
7. Significant GCA was found for all the traits except FN, FCL and SDS. SCA was
significant for FN, HLM and LFV, which could be an indication of heterotic
effects in these traits.
8. To produce the best progeny, parental lines with the highest GCA for a specific
trait should be used. High GCA effects is an indication of additive gene action,
which again indicates high heritability. Kariega, Nantes, SST 57 and Palmiet
proved to be the best cultivars to improve the different quality and yield
characteristics.
9. The best specific combination to produce progeny with desirable milling
characteristics was Nts/Kar, whereas Kar/Gmt proved to be the best specific
combination to improve the rheological characteristics simultaneously. W92-
1/Nts can be used to develop desirable progenies for LFV. SST57/Kar proved to
be the best combination to improve TKM. The SCA of W92-1 proved to be
mostly influenced by the environment.
10. The GCA:SCA ratio was calculated to determine whether a character shows
more additive or non-additive gene action. The following characteristics
showed additive gene action: TKM, EX, BFY, FCL, HLM, GPC, LFV, MDT and
FPC. The remainder of the characteristics showed very little variation between
additive and non-additive gene action, except for FN, where the SCA was much
higher.
11. To further confirm the above findings, the additive gene action was determined.
Results were in agreement with previous findings, stating that TKM, EX and BFY
was mainly under additive control, FCL, HLM, GPC, LFV, MDT and FPC showed
mainly additive but also non-additive gene action and FN and SDS were under
non-additive genetic control.
12. A phenotypic correlation matrix was performed to determine whether a positive
or negative correlation exists between the quality and yield characteristics.
Significant positive correlations were observed between HLM and TKM, EX and
MDT, GPC and LFV and FPC, SDS and LFV, BFY and LFV, EX and MDT, FPC
and LFV and FCL and MDT. This implies that selecting for one of these traits
will simultaneously improve the other traits in a desirable environment. None of
these correlations correlated with findings in the parental trial. Significant
negative correlation existed between TKM and GPC and EX and FCL, implying a
selection for one trait will influence the other trait negatively.
13. A genetic correlation matrix was also performed. Significant positive genetic
correlations were observed between SDS and FN (0.858*), MDT and HLM
(0.815*) and LFV and FPC (0.824*) indicating that an increase in one of these
characteristics will result in an increase of the other character as well,
irrespective of the environment. In the phenotypic correlation matrix these
correlations were positive as well, but non-significant.
14. The broad and narrow sense heritability was calculated for the quality and yield
characteristics. The narrow sense heritability varied from as high as 0.7089 for
TKM to 0 for SDS and FN. These findings again indicate a good success in
selecting for higher TKM. The broad sense heritabilities were relatively high for
most of the characters, indicating a significant environmental influence in the
non-additive or heterotic effects of these genes.
15.lndirect selection was calculated to find out whether it is possible to achieve
more rapid progress through selection for a correlated response than from
selection for the desired character itself. None of the indirect selections showed
high response to selection for TKM and GPC, therefore to improve these
characters, selection should be applied directly. Direct selection would be
better to improve FCL, because of the negative correlations with the
characteristics. None of the indirect selected characters could improve all the
other characters simultaneously, but selection for HLM and MDT improved all
the characteristics except FCL. Direct selection procedures should rather be
used to improve specific quality characteristics. Indirect selection would be best
to select for SDS and FN.