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Revista Científica UDO Agrícola Volumen 6. Número 1.
Año 2006. Páginas: 11-19
Role of some agronomic traits for grain yield
production in wheat (Triticum aestivum L.) genotypes under drought conditions
Papel de algunos caracteres
agronómicos en el rendimiento de semillas de genotipos de trigo (Triticum aestivum L.) bajo condiciones
de sequía
Waqas Manzoor Bhutta
Centre of Advanced
Studies in Applied Genetics and Saline Agriculture (CAGSA), University of
Agriculture, 38040, Pakistan. E-mail:
mosaf_1@yahoo.com.
|
Received: 05/29/2006 |
Reviewing ending: 08/09/2006 |
Review received: 11/15/2006 |
Accepted: 11/21/2006 |
ABSTRACT
The association of some agronomic
traits among wheat lines and their direct and indirect influence on the grain
yield of wheat were investigated. In order to do this study, experiment with 25
breeding lines was conducted in a randomized complete block design with three
replications. According to the results, the correlation
and path analyses of grain yield and its components in promising wheat lines revealed that there is strong positive
association of grain yield with number of tillers and number of
spikes per plant. Grain yield was negatively associated with number of
florets per spike.
Comparatively, high genetic variation was
found in grain yield, flag leaf
area, and tillers per plant.
Number of tillers per plant had
direct effect on grain yield and
majority of the traits affected grain yield through it.
Key words: Wheat, Triticum aestivum,
cross breeding, path analysis
RESUMEN
La asociación de
algunos caracteres agronómicos entre líneas de trigo y su influencia directa e indirecta
sobre el rendimiento de semillas en trigo fue investigada. Se realizó un
experimento con 25 líneas mejoradas en un diseño de bloques completos al azar
con tres repeticiones. De acuerdo a los resultados, los análisis de correlación
y de trayectoria del rendimiento de semillas y sus componentes en líneas
promisorias de trigo revelaron que hay una fuerte asociación positiva del
rendimiento de semillas con el número de hijuelos y número de espiguillas por
planta. El rendimiento de semillas estuvo negativamente asociado con el número
de florecillas por espiguilla. Comparativamente, se encontró una alta variación
genética en el rendimiento de semillas, área foliar de la hoja bandera e
hijuelos por planta. El número de hijuelos por planta tuvo un efecto directo
sobre el rendimiento de semilla y la mayoría de los caracteres afectaron el
rendimiento de semillas a través del número de hijuelos por planta.
Palabras clave: Trigo, Triticum
aestivum, mejoramiento de plantas, análisis de trayectoria
INTRODUCTION
Wheat is grown both in arid and semi-arid regions of the
world. Increasing wheat production under abiotic stress conditions has become
important in recent years, since wheat production in areas with optimum growing
conditions does not meet the needs of the increasing population. Drought
resistance is a general term and could refer to any of several types of drought
resistance such as drought escape, dehydration avoidance or dehydration
tolerance. Breeding wheat for drought resistance is a difficult, long-term
project. Present cultivars were developed by yield testing in a range of
environment from fully irrigated to severely drought stressed. Perhaps
physiologically based screening techniques can be utilized to improve selection
of parental material or to rapidly screen large segregation populations to
improve the level of drought resistance prior to yield testing. Morphological
parameters like plant height, flag leaf area, days to heading, tillers per
plant and grain yield etc. related to drought resistance has already been
identified by plant physiologists. Grain yield is a
product of several contributing factors and can be estimated on the basis of performance of various components.
The breeding
procedure for drought tolerance depends upon the pattern of inheritance
(qualitative or quantitative), the number of genes with major effects, and the
nature of the action of those genes (Rao and McNeilly, 1999). There is now a
considerable body of information about variation both between and within
species in response to drought (
Path analysis disintegrates the correlation into direct and indirect contributions of a particular trait to
yield. This disintegration helps in
ranking the traits of
plants, which can be utilized for indirect selection. The correlation and path
analyses were estimated for different plant traits in promising lines of
wheat to evolve high yielding wheat
genotypes. Path analysis was performed as a supplement for correlation analysis to
elucidate the interrelationships among characters determining grain yield.
MATERIAL AND METHODS
Genotypes
The
experimental material comprised of 25 selected
wheat lines viz. Hd-2169, Hd-2179, Hd-2204, Hd-2285, Hd-2329, C-271, C-273,
C-518, C-591, Maxipak, Blue Silver, Wl-711, Chenab-70, Lyalpur-73, Pothowar,
Punjab-81, Faisalabad-83, Shalimar-88, Pak-81, Punjab-85, Faisalabad-85,
Kohnoor-83, Chakwal-86, Rawal-87 and Pasban-90 locally adapted
cultivars were chosen for studied based on their reputed differences in yield
performance and drought resistance.
Irrigation
× Cultivar
Field irrigation studies were conducted. Irrigation was
in level basins
Germination in Mannitol
Fungicide treated seed was germinated at 22 º C in
Survival
after desiccation
Wooden flats 425 x 550 x
Water Loss of Excised Leaves
Plants were grown in greenhouse
flats as described in the previous section and sampled at the tillering stage
when
Root
length
Ten seeds of each cultivar were planted in sand in
Rooting
Depth
Wheat seedling was grown 40 d in
The same genotypes were also planted in triplicate
randomized block design in the field under moisture stress conditions (zero
irrigation). The genotypes were sown with
the help of a Rabi drill in a randomized complete block design with four replications in
the field under moisture stress conditions (zero irrigation). The distance
between rows and plants was kept 22.5 and
Plant
height (cm)
Plant height of central spike (mother shoot) of each
plant was measured in cm from the Ground level to the apex of the spike
excluding awns.
Flag
leaf area (cm2)
Flag leaf area of mother shoot of randomly selected
plants in each replication was measured in cm2 with electric leaf
area meter and then average was calculated
Number
of tillers per plant
Numbers of tillers
per plant were counted on each plant in each family.
Grain
Yield (g)
Grain yield in gram from each selected plants was
recorded separately on electronic balance, average yield was then computed. The
average temperature and average rain fall during the growing season of the
wheat crop is shown in Figure 1.

Statistical
Analysis
Variances and covariance analyses
for all the traits studied were performed using the method given by Steel and
Torrie (1980). The estimates of genotypic correlations were computed according
to the method given by Kwon and Torrie (1964). The sampling of genetic
correlations was tested as suggested by Reeve (1955). Path coefficient analysis
was performed as described by Dewey and Lu (1959). Grain yield was kept as
resultant variable and other traits as causal ones. Heritability in broad sense
as a ratio of genotypic to phenotypic variance and Standard Error (S.E.) for
heritability was computed for each trait. Genetic advance was calculated at 20
per cent selection intensity (i = 1.4). Genotypic and phenotypic coefficients
of variation were calculated for the estimation of variability.
RESULTS AND DISCUSSION
Heritability and Genetic advance
Results
pertaining to various genetic parameters viz.,
coefficient of genotypic (GCV) and phenotypic variation (PCV) and the
estimates of heritability and genetic advance are presented in (Table 1).
The significant estimates of
heritability in broad sense associated with all the traits under study
except root length. High genetic advance was obtained by 20 % selection intensity for plant height (
|
Table 1. Various genetic parameters in wheat (Triticum aestivum L.) at |
||||
|
Traits |
Genotypic coefficient of variation |
Phenotypic coefficient of variation |
Heritability † ± S.E. |
Genetic advance |
|
Plant height (cm) |
15.46 |
19.76 |
0.61 ± 0.08 |
1.4 |
|
Leaf area (cm2) |
6.70 |
7.17 |
0.87 ± 0.03 |
7.5 |
|
Germination in mannitol |
2.17 |
2.23 |
0.94 ± 0.08 |
3.05 |
|
Survival desiccation |
12.33 |
14.87 |
0.68 ± 0.06 |
2.33 |
|
Water loss excised leaves |
12.19 |
14.85 |
0.67 ± 0.06 |
2.23 |
|
Root length (cm) |
4.92 |
6.57 |
0.56 ± 0.03 |
3.6 |
|
Root depth (cm) |
5.24 |
6.64 |
0.62 ± 0.09 |
139 |
|
Tiller number/plant |
1.02 |
1.69 |
0.36 ± 0.60 |
1.65 |
|
Grain yield/Plant (g) |
22.88 |
24.47 |
0.87 ± 0.04 |
5.70 |
|
† Heritability
estimate is significant if its calculated value exceeds twice of its standard
error (S.E) |
||||
Correlation analysis
Genotypic correlation
coefficients along with their standard
errors are presented in (Table
2).
The results indicate that plant height was positive and significantly
correlated with germination in mannitol, water loss of excised leaves and root
length but negative and significantly with survival after desiccation, root
depth, tiller number per plant and grain yield at genotypic level that is in
agree with Khan et al. (2003). Flag
leaf area was positive and significantly correlated with germination in
mannitol, survival after desiccation, and water loss of excised leaves, tiller
number per plant and grain yield. Flag leaf area showed negatively significant
genotypic correlation with root length and root depth. In the other hand,
germination in mannitol had positive genotypic correlation with water loss of
excised leaves, root length, root depth and grain yield but tiller number per
plant showed negative and significantly correlation with germination in
mannitol (Munns et al., 2003).
|
Table 2. Genotypic
correlation matrix along with their standard errors in two rowed wheat (Triticum
aestivum L.) at |
|||||||||
|
Traits |
Plant
height (cm) |
Flag leaf area (cm2) |
Germination
in mannitol |
Survival desiccation |
Water
loss excised leaves |
Root
length |
Root
depth |
Tiller
number/plant |
Grain yield plant (g) |
|
Plant height (cm) |
1 |
- 0.079 0.049 |
0.225 * 0.023 |
- 0.479 * 0.046 |
0.483 * 0.063 |
0.336 * 0.053 |
- 0.206 0.099 |
- 0.501* 1.808 |
- 0.2626 0.2860 |
|
Flag leaf area (cm2) |
|
1 |
0.609 * 0.025 |
0.266 * 0.028 |
0.273 0.038 |
- 0.760 * 0.018 |
- 0.725 * 0.024 |
0.307 * 1.090 |
0.2815 * 0.1409 |
|
Germination in mannitol |
|
|
1 |
0.200 0.047 |
0.213 * 0.064 |
0.403 * 0.058 |
0.402 * 0.070 |
- 0.351* 2.424 |
0.2141 * 0.2370 |
|
Survival desiccation |
|
|
|
1 |
0.999 * 0.001 |
0.449 * 0.029 |
- 0.303 0.057 |
0.881 * 1.137 |
0.889 * 0.0390 |
|
Water loss excised leaves |
|
|
|
|
1 |
- 0.417 0.039 |
- 0.323 0.076 |
0.862 * 0.512 |
0.8924 * 0.0518 |
|
Root length |
|
|
|
|
|
1 |
0.946 * 0.006 |
- 0.472 * 1.137 |
- 0.414 * 0.1540 |
|
Root depth |
|
|
|
|
|
|
1 |
- 0.157 2.439 |
- 0.232 0.3009 |
|
Tiller number/plant |
|
|
|
|
|
|
|
1 |
0.926 * 1.050 |
|
* Significant (p ≤ 0.05) |
|||||||||
Survival after
desiccation has a positive and significant correlation with water loss of
excised leaves, root length, tiller number per plant and grain yield, but root depth
was only negatively non-significant with survival after desiccation. Water loss
of excised leaves was show significant positive relation with tiller number per
plant and grain yield. It is suggested that genotypes having better
contribution and utilization of soil moisture can produce more number of
tillers per plant ultimately adding to grain yield. Therefore, results
suggested that grain yield was correlated positively with flag leaf area,
germination in mannitol, survival desiccation, water loss of excised leaves and
tiller number per plant at genotypic level. Grain yield showed a negative
significant genotypic correlation with plant height and root length but root
depth negatively non-significant correlated with grain yield under drought
conditions. The results obtained for mature plant showed that grain yield was
positive and significantly correlated with flag leaf area at genotypic level
and with number of tillers per plant at the genotypic level but flag leaf area
non-significant correlated with grain yield at phenotypic level (Muraila et al., 2001).
Path analysis
The results
pertaining to path analysis are presented in (Table 3) and discussed here
under: Direct effect of plant height on grain yield was negative,
whereas its indirect effects via
germination in mannitol was positive while all the other traits were negative. The direct effects of flag leaf area
on grain yield was positive (Ali et al.,
2002; Masauskiene et al., 2001). The indirect effect via plant height, germination in
mannitol, survival after desiccation, water loss of excised leaves and no of
tiller per plant were positive while the other traits indirect effect of flag
leaf area via root length and root depth were negative. The results thus
obtained suggest that flag leaf area is an important component of yield and
hence needs special attention in selection strategies (Singh, 1999). The direct effects of germination in mannitol on grain
yield was positive and low and indirect effects germination in mannitol via
plant height, flag leaf area and no of tiller per plant were also positive
while all the other traits were negative indirect effects with germination in
mannitol. Survival after desiccation influenced yield negatively direct and
indirectly through root length and root depth. Mainly these traits contributed
to yield through plant height (Kamal et
al., 2003; Kumar and Ramesh, 2001).
This may be attributed to the differences in experimental material and environmental conditions under which the experiment was conducted. The direct effect of
root length to grain yield was negative. Whereas, its indirect effects through
all other traits were positive except the root depth. Tillers per plant
contributed grain yield directly at the maximum level. However, its
own indirect effects via flag leaf area, germination in mannitol and water loss of excised
leaves (Huang Zuliu et al.,
2000). While the other traits plant height, root
length and root depth made their maximum negative indirect effect to number of tiller
per plant through these traits (Khattab et
al., 2001; Hanchinal and Ramed, 1999).
|
Table 3. Direct (in
parenthesis) and indirect effect matrix in two rowed wheat (Triticum aestivum
L.). Dependent variable is grain yield/plant. The last column shows
genotypic correlations of independent variables with grain yield/plant at |
|||||||||
|
Traits |
Plant height (cm) |
Flag leaf area (cm2) |
Germination
in mannitol |
Survival
desiccation |
Water loss from excised leaves |
Root
length |
Root depth |
Tiller
number/plant |
Grain yield plant (g) |
|
Plant
height (cm) |
(- 0.0908) |
0.0102 |
0.0148 |
0.2558 |
4.3747 |
0.0767 |
- 0.0553 |
-4.9803 |
-0.2626 |
|
Leaf area (cm2) |
- 0.0072 |
(0.1278) |
0.0402 |
- 0.1565 |
- 2.4696 |
0.1739 |
- 0.1941 |
2.767 |
0.2815 |
|
Germination
in mannitol |
0.0204 |
0.078 |
(0.0659) |
0.1794 |
- 1.9369 |
- 0.0921 |
0.1075 |
2.0797 |
0.2741 |
|
Survival
desiccation |
- 0.0435 |
0.034 |
- 0.0132 |
(- 0.4496) |
- 9.0561 |
0.1027 |
- 0.0811 |
(10.3958) |
0.889 |
|
Water loss from excised leaves |
- 0.0439 |
0.0349 |
- 0.0141 |
- 0.4398 |
(- 9.0572) |
0.1046 |
- 0.0864 |
10.3944 |
0.8924 |
|
Root
length (cm) |
- 0.0305 |
- 0.0973 |
- 0.0266 |
0.2407 |
4.1447 |
(- 0.2286) |
0.2532 |
- 4.6696 |
- 0.414 |
|
Root
depth (cm) |
- 0.0188 |
- 0.0928 |
- 0.0265 |
0.0802 |
2.9267 |
- 0.2163 |
(0.2675) |
- 3.1522 |
- 0.232 |
|
Tiller
number/plant |
- 0.0456 |
0.0392 |
0.0230 |
- 0.5099 |
- 7.8127 |
0.1079 |
- 0.0421 |
(9.1661) |
0.9263 |
CONCLUSION
The overall results indicated that
there is genetic variability present in the material studied. The genotypes C-591
and Blue Silver appeared to be drought tolerant whilst the other genotypes. The
drought stress showed drastic effect on plant growth and grain yield. The
results suggested that the traits like Flag leaf area, Germination in mannitol
and tiller number per plant due to their genetic basis and significant
correlation with grain yield, could be used as selection criteria to identify
drought tolerant wheat genotypes, The genetic information derived from these
studies further suggested that the traits having additive type of gene action
would be helpful to improve drought tolerance in wheat. Further investigations
are needed to derive sounder conclusion for the development of drought tolerant
wheat genotypes, to bring the droughty prone areas under wheat cultivation.
Such type of breeding programme may lead to improve the economic condition of
stack-holders in general and farmers living in drought-affected areas in
particular.
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