Variation and Associations of Quality Parameters in Ethiopian Durum Wheat (Triticum turgidum L. var. durum) Genotypes
Knowledge on variability and quality of durum wheat genotypes for pasta making as well as associations among quality parameters is important to design a suitable plant breeding program. Sixteen durum wheat genotypes were tested at Sinana and Adaba, Southeastern Ethiopia during 2009 bona season. The experiment was laid out in a randomized complete block design with three replications. Thirteen quality parameters were included in the study. Pooled analysis of variance revealed significant differences among genotypes for all quality parameters studied indicating the presence of variability. Genotypic correlation coefficient depicted important quality parameters are positively correlated with grain protein content, suggesting a common genetic basis among these traits and indicating the possibility of simultaneous improvement. Yellow pigment content showed the highest heritability value of 84.3% and gluten index had the lowest value of 3.8%. Dry gluten content (0.65**) and thousand kernel weight (0.26*) had the highest positive direct effect on grain protein content and significant positive genotypic correlation with grain protein content. Hence these traits are important as selection criteria for improvement of grain protein content in durum wheat. Protein content of the genotypes ranged from 10.7% (CDSS94) to 13.2% (Leliso). The study also showed variations in gluten strength as measured by alveograph strength W ranging from 64.3x10-4 J (Gerardo) to 187.6x10-4 J (Hitosa). Considering the performance of genotypes across most quality parameters, all the studied genotypes except Gerardo, Oda and Cocorit-71 were superior and could also serve as donor sources in durum wheat breeding programs for good pasta making quality.
Received: May 25, 2011;
Accepted: June 22, 2011;
Published: October 29, 2011
Tetraploid (2n = 4x = 28) wheats have been under cultivation in Ethiopia since
ancient times. Among the tetraploids, durum wheat (Triticum turgidum L.
var. durum) is the predominant species (Tesfaye, 1991).
Various researchers (Simane et al., 1993; Messele,
2001) reported the uniqueness of the Ethiopian tetraploid wheat germplasm
for different useful traits. In Ethiopia, durum wheat is traditionally planted
on heavy black clay soils (vertisols) of the highlands between 1800 and 2800
masl (Tesemma and Belay, 1991). It is produced exclusively
by peasant farmers under rainfed conditions with little or no fertilizer or
weeding (Tesemma, 1991). Bozzini (1988)
reported that durum wheat is best adapted to regions having a relatively dry
climate, with hot days and cool nights during the growing season, typical of
Mediterranean and temperate climates. Arsi and Bale highlands of Southeastern
Ethiopian are some of the regions which are highly suitable for durum wheat
production (Gebre-Mariam, 1991).
Quality is an important aspect of durum wheat. High-quality pasta begins with
good quality wheat (Mariani et al., 1995). Durum
wheat is the best wheat for superior pasta products due to its kernel hardness,
vitreous endosperm and golden amber color which also vary among durum wheat
genotypes (Motalebi et al., 2007). Cooked pasta
made from durum wheat semolina retains good firmness and elasticity and is resistant
to surface disintegration and stickiness (Bechere et
al., 2002; Motalebi et al., 2007). Pasta
is delicious and healthy food as a ready source of protein and complex carbohydrates.
Modern food science has revealed that pasta is rich in minerals such as iron,
phosphorus and essential B Vitamins (Thiamine, Niacin and Riboflavin) (Petrova,
2007). Now it is also fortified with folic acid which is important for the
early development of infants in the womb (Petrova, 2007).
The basic quality criteria valid today include a high yield of highly refined
semolina; high protein and yellow pigment content, strong gluten and good pasta
cooking quality (Mariani et al., 1995; Dexter
and Marchylo, 2000). Protein content and type in the grain of durum wheat
is important for human nutrition and end use processing quality. In addition,
high protein determines premium prices for wheat in many regions of the world,
making high grain protein content a primary target for durum wheat and hard
common wheat breeding programs (Olmos et al., 2003).
In Ethiopia, research on durum wheat improvement since its beginning until
recently has focused mainly on improving grain yield and disease resistance
as reported by Tarekegn et al. (1995), Letta
et al. (2008) and Abebe et al. (2008).
With the expansion of agro industries, good processing quality durum wheat grain
has become increasingly important for variety release (MARD,
2004). Currently, there are large markets for durum wheat for domestic consumption
and for export to other countries where there is a greater demand for food due
to increasing populations and improving standard of living. On the other hand,
limited work has been done on determining quality requirements of Ethiopian
durum wheat genotypes used for pasta and other products (Letta
et al., 2008; Abebe et al., 2008).
Plant geneticists and breeders have made significant efforts in the past to
improve the quality of seed proteins (Yadav and Singh, 2011).
Quality improvement in wheat is possible through evaluation and selection, whenever
wide variation exists in breeding material (Peterson et
al., 1998). Response to selection for quality depends on the heritability,
genetic advance of quality traits and correlated response with other characteristics
(Fisher et al., 1989). The genetic progress achievable
through breeding is largely dependent on the identification of genotypes with
better quality attributes and of critical traits on which selection can be based
(Ammar et al., 2000).
Correlation coefficient is helpful in determining main traits influencing grain
protein content and grain yield for indirect selection criteria. However, it
provides incomplete information regarding relative importance of direct and
indirect effects on individual factors involved (Zecevic
et al., 2004). On the other hand, path coefficient analysis revealed
a complex pattern of relationships among traits and divides the correlation
coefficients into direct and indirect effects (Dewey and
Lu, 1959). Path coefficient analysis was used for identification of complex
relationships among agronomic traits in durum wheat (Garcia
del Moral et al., 2005; Sadeghzadeh and Alizadeh,
2005; Yagdi, 2009), spring wheat (Li
et al., 2006) and bread wheat (Khan et al.,
2003, 2005; Kotal et al.,
2010; Tripathi et al., 2011). However, limited
information exists on interrelationships among quality traits in Ethiopian durum
In the present study, durum wheat genotypes were evaluated for quality parameters related to pasta making. Moreover, traits associations were analyzed and the direct and indirect contribution of traits to the association was examined by applying path analysis.
MATERIALS AND METHODS
Plant materials and experimental design: Sixteen durum wheat genotypes
were included in the study (Table 1). Thirteen genotypes were
released varieties by the wheat breeding program at Sinana and Debre Zeit Agricultural
Research Centers and three are Sinana Agricultural Research Center advanced
durum wheat breeding lines. They were selected based on their agronomic performances
and suitability to the growing conditions. The variety Cocorit-71 was used as
a check. The traits studied were thousand kernel weight, test weight, kernel
vitreousity, grain hardness, protein content, wet gluten content, dry gluten
content, gluten index, yellow pigment content, SDS-sedimentation volume and
alveograph parameters. The genotypes were grown under rainfed during 2009 main
(bona) crop growing season for one year with uniform conditions at Sinana
and Adaba, Southeastern Ethiopia. Sinana is found at 7°N latitude and 40°E
longitude and 2400 masl, 867.7 mm mean annual rainfall, with the average annual
temperatures of 20.5°C for the maximum and 10.1°C for the minimum during
the crop growing season) (SARC, 2009). The area has bimodal
rainfall pattern with two growing seasons; bona (Meher) extending from
August to December and ganna (Belg) from March to July. Mean seasonal
rainfall generally ranges from 354-716 mm for bona and 346-1030 mm for
ganna. The soil is clay in textural type with slightly acidic pH (Yadessa
et al., 2008).
Adaba has an elevation of 2365 masl. The area has monomodal rainfall pattern
with the growing season extending from June to November. The mean annual rainfall
ranges from 600 mm to 750 mm and it has mean monthly temperature varying from
4.5-9.6°C for the minimum and 22.6-26.4°C for maximum temperatures (BADE,
2009). The soil type is chromic and pelvic vertisols and dystric and humic
cambisols. Chromic and pelvic vertisols are predominantly found in flat areas
while dystric and humic cambisols mainly occur in steep sloping areas at high
altitude where rainfall is high (Dejene and Hassena, 1994).
The experiment was laid out in a Randomized Complete Block Design (RCBD) with
three replications. Each experimental plot was 2.5 m long and 2.4 m wide, with
twelve rows 20 cm apart, giving a gross plot area of 6 m2 and net
plot area of 5 m2. Adjacent blocks were 1 m apart. Sowing was done
by hand drilling and covered lightly with soil. The seed and fertilizer rate
was 150 kg ha-1 and 41/46 N/P2O5 kg ha-1,
respectively (MARD, 2004). All other agronomic practices
were done as recommended for wheat production in the area (Geleto
et al., 2008).
Quality analysis: Random homogenous sample of each harvested genotypes
was used for laboratory analysis. Test weight and thousand kernel weights were
measured on dockage free basis as described (AACC, 2000)
Method 55-10 and 55-31, respectively. Kernel vitreousity was estimated by using
transmitted light according to ICC standard number 129 (ICC,
Grain hardness was analyzed by particle size index method as described in the
AACC method 55-31. The wheat grain samples were milled with a CD1 mill (CHOPIN,
2001) fitted with 1 mm sieve after well blended and cleaned grain samples
were conditioned to 12% moisture content. Higher values indicate softer kernel
texture. Grain nitrogen content on 12.5% mb (moisture basis) was determined
by micro-kjeldahl (method 46-11). Urea was used as a control in the analysis;
Values are multiplied by 5.75 for grain protein content determination. The wet
gluten content was determined by hand washing method (AACC Method 38-10-01)
using 10 g of flour mixed with 5 mL of 2% sodium chloride solution for the washing
and dry gluten content was estimated after drying total wet gluten piece at
100°C for 24 hours in air draught oven to get the dry mass according to
AACC Method 38-10. Approved AACC Method 38-12 was followed for the determination
of Gluten Index (GI) of whole meal samples.
Yellow pigment content (14%, mb) was determined after extraction of the pigment
from 3 g flour in 15 mL water saturated n-butanol (WSB) (1:5 v/v). The resultant
solution were then filtered through Whatman No.1 filter paper and the extract
was analyzed on a UV-visible spectrophotometer at 435.8 nm (Spectronic Genesis
20, USA) against WSB as a blank (AACC, 2000 Method 14-50).
Absorbance (1.6632) of 1 mg pigment in 1 cm cuvet dissolved in 100 mL WSB was
used in the conversion (Johnson et al., 1980;
Santra et al., 2003). Then the pigment mass was
calculated by the following equation:
The SDS Sedimentation volume was determined by measuring the SDS sedimentation volume increase for a batch of eight samples by hand mixing procedure using 3% SDS-lactic acid as a reagent as described in the AACC Method No.56-70. The sedimentation volume was recorded to the nearest 0.5 mL after 20 min at room temperature. Results were expressed in height (mL) of the interface line between solid (ground sample) and liquid (solution) into a measuring cylinder.
Alveograph parameters were analyzed on an alveograph (Chopin MA 82, Villeneuve-la-Garenne, France) according to Approved Method 54-30A. At least 5 replicates per sample were obtained. The resulting alveogram were used to determine, elasticity (P, mm) an indicator of dough resistance to pressure, extensibility (L, mm) at the point of bubble rupture and gluten strength parameter (W, 10-4J) required to inflate the dough bubble until it ruptures. The elasticity/ extensibility ratio (P/L), an indicator of the rheological balance of the dough was also computed.
Statistical analysis: The SAS GLM procedure (SAS, Institute,
2002) was employed for the analysis of variance. Fishers Least Significant
Difference (LSD) test at 5% level of significance was used for mean comparisons,
whenever F- tests were significant. Combined analysis of variance was carried
out after verifying the homogeneity of error variance using Bartletts
χ2 test following fixed effect model (Gomez
and Gomez, 1984). Phenotypic Coefficient of Variation (PCV) and Genotypic
Coefficient of Variation (GCV) were calculated following the method of Burton
(1952). Broad-sense heritability (h2) was calculated as the ratio
of the genotypic variance to the phenotypic variance according to Singh
and Ceccarelli (1996). Genetic advance as percentage of the mean was also
estimated following the procedure of Singh and Chaudhary (2004).
Genetic correlations among traits were done at 1 and 5% probability levels
using variances and covariances according to Singh and Chaudhary
(2004). Path analysis was carried out using GENRES3 for windows version
7.01, Pascal Intl Software Solutions (GENRES3, 1994)
to study the direct and indirect contributions of the traits to the associations
according to Dewey and Lu (1959), Li
(1975) and Williams et al. (1990). Traits
that were significantly correlated with grain protein content were entered as
a predictor variable in the path analysis that estimated their direct and indirect
effects on grain protein content which is the response variable.
The contribution of the remaining unknown factor was measured as the residual factor and was calculated as:
||Mutual association between the independent variable i
and the dependent variable j as measured by correlation coefficient
||Components of direct effects of the independent variable i
on dependent variable j as measured by the path coefficients
RESULTS AND DISCUSSION
The pooled analysis of variance revealed highly significant difference (p<0.01)
among genotypes for all quality parameters studied (Table 2).
The significant difference among genotypes for the parameters implies the presence
of variation among genotypes which is central to the study of both quantitative
and qualitative traits. These give an opportunity to plant breeders for improvement
of these characters through breeding. It also showed highly significant (p<0.01)
effects of locations for test weight, vitreousity, grain hardness, wet gluten
content, yellow pigment content and alveograph strength and significant (p<0.05)
effect on SDS sedimentation volume. However, it depicted non significant effects
of location on thousand kernel weight, grain protein content, dry gluten content,
alveograph elasticity and elasticity/extensibility ratio. Similarly, it revealed
highly significant (p<0.01) GxL interaction for all traits combined except
wet and dry gluten contents. Genotypexlocation interactions is important in
evaluating genotype adaptation, selecting parents and developing genotypes with
improved end-product quality (Ames et al., 1999).
The existence of genotypex location interaction indicates that selection should
be carried out in a range of environments and it is essential to breed different
genotypes for specific environment (Falconer and Mackay, 1996).
|| Estimates of statistical and genetical parameters of 13 quality
traits in sixteen durum wheat genotypes from combined analysis of variance
|**, *: Significant at 0.01 and 0.05 probability levels respectively,
ns: non significant, MSg: Mean squares due to genotypes, MSl: Mean squares
due to locations, MSgxl: Mean squares due to genotype x location
interaction, PCV: Phenotypic coefficient of variability, GCV: Genotypic
coefficients of variability, h2 (B): Broad sense heritability (%), GA: Genetic
advance, TKW: Thousand kernel weight (g), TW: Test weight (kghl-1),
V: Vitreousity (%), GH: grain hardness (%), GPC: Grain protein content (%),
WGC: Wet gluten content (%) ,DGC: Dry gluten content (%), GI: Gluten index
(%), SDS: Sedimentation volume (mL), YPC: Yellow pigment content (ppm),
W: Alveograph dough strength (x10-4J), P: Elasticity (mmH2O),
P/L: elasticity/ extensibility ratio
Based on the results obtained in this study, it is recommended to develop durum
wheat varieties for different environment with respect to important quality
traits which is generally considered as major target in durum wheat breeding
Variations, heritability and genetic advance: Phenotypic and genotypic
coefficients variations, broad sense heritability and genetic advance as percent
of mean of the studied durum wheat genotypes for different quality parameters
are presented in Table 2. Accordingly, thousand kernel weight,
yellow pigment content, alveograph dough strength and alveograph elasticity
showed higher PCV (phenotypic coefficients variations) and GCV (genotypic coefficients
variations) values (>10%), indicating less environmental influence on the
expression of these traits and greater scope for improvement through breeding.
On the other hand, test weight, grain protein content, dry gluten content and
elasticity/ extensibility P/L ratio revealed lower GCV values (<5%). The
magnitude of phenotypic coefficients of variation was greater than that of genotypic
coefficients of variations for all the traits studied. Similar results were
observed by Kotal et al. (2010).
Heritability is a measure of the genetic contribution to phenotypic variability.
It is a measure of the degree to which observed phenotypic differences for a
trait are genetic, remainder being due to environment. The most important function
of the heritability in the genetic study of metric and qualitative traits is
its predictive role, expressing the reliability of the phenotypic value as a
guide to the breeding value (Nyquist and Baker, 1991;
Rehman and Alam, 1994). Broad sense heritability of the
studied genotypes ranged from 3.8 to 84.3% for gluten index and yellow pigment
content, respectively. Consequently, yellow pigment content, thousand kernel
weight and test weight showed the highest heritability values. High heritability
coupled with high expected genetic advance as percent of mean (assuming selection
intensity of 5%) was observed for yellow pigment content and thousand kernel
weight and the intermediate to high heritability for wet gluten content, dry
gluten content and alveograph strength W. This suggests high breeding value
and more additive genetic effects and selection can be effective for these traits
in this population. These are in agreement with the study of Bushuk
(1998) who reported that most quality traits in wheat has high heritability
values and indicated the potential of improving wheat for end product use quality
through conventional plant breeding. Similarly, Lukow and
McVetty (1991) and Peterson et al. (1998)
reported that several characters contributing to good quality have high heritability
Genotype performance for quality parameters: Mean performance values
of the studied genotypes for different quality parameters are given in Table
3. The studied genotypes showed thousand kernel weights variation ranging
from 35.4 to 48.6 g and test weight from 79.5 to 83.8 kg hl-1. This
range was consistent with the results of Bechere et al.
(2000) and Gashawbeza et al. (2003) from
33-50 g for thousand kernel weight and 76-86 kg hl-1 for test weight
on Ethiopian released durum wheat varieties. Accordingly, Denbi, Hitosa, CDSS94
and Ejersa showed the highest values, whereas; Ilani, Cocorit-71 and Gerardo
had significantly lower test weight values (p<0.05) than other genotypes.
The acceptable thousand kernel weight for durum wheat is 30-35 g db (dry basis)
(Petrova, 2007) and that of test weight is 81 kg hl-1
(Sissions, 2004; Petrova, 2007;
Abebe et al., 2008).
Vitreousity of the studied genotypes exhibited wider ranges from 71.2 to 95.8%.
Higher endosperm vitreousity in durum wheat grain is indicative of an increase
in the production of semolina than flour (Bushuk, 1998;
Xie et al., 2004). Twelve out of 16 genotypes
showed vitreousity of over 80% which most milling industries demand and pays
premium price for the farmers (Sissions, 2004; Petrova,
2007). Leliso (13.2%) had the highest protein content followed by Yerer
(13.0%), Ejersa (12.8%), Oda (12.4%) and Bakkalcha (12.2%) (Table
3). High grain protein content is one of the most important factors determining
pasta and bread making quality and is also important to human nutrition. Adequate
quantity and quality of wheat protein is necessary if the final products are
to have good tolerance to overcooking, low cooking loss, desirable organoleptic
features and acceptable nutritional value.
|| Mean values of sixteen durum wheat genotypes for different
|TKW: Thousand kernel weight (g), TW: Test weight(kghl-1),
V:Vitreousity (%), GH: Grain hardness (%),GPC: Grain protein content (%),
WGC: Wet gluten content (%), DGC: Dry gluten content (%), GI: Gluten index
(%), SDS: Sedimentation volume (mL), YPC: Yellow pigment content (ppm),
W: Alveograph dough strength (x10-4J), P: Elasticity (mmH2O),
P/L: Elasticity/ extensibility ratio, Means within each
column followed by the same letter are not significantly different from
each other at (p<0.05)
Galterio et al. (1993) and Mariani
et al. (1995) have indicated that durum wheats with 13% protein could
provide excellent products whereas wheats with protein contents below 11% give
products of inferior quality. However, the large differences in the rheological
and cooking properties of gluten existing among genotypes of similar protein
content have posed the problem on durum wheat gluten quality.
The genotypes under this study can be classified in to two groups based on
their performance with respect to grain hardness classification according to
Hruskova and Svec (2009). Consequently, genotypes Yerer
and Hitosa were in the very hard to hard range in grain hardness based on the
particle size index, whereas, the remaining genotypes were in the hard class.
Endosperm hardness can affect the amount of starch damaged during the milling
process and subsequently the water requirements of the resulting flour. Grain
hardness is a strong predictor of dough handling and loaf texture characteristics.
It varies significantly between wheat classes and even between genotypes within
a class (Hruskova and Svec, 2009).
Wet gluten content of the studied genotypes ranged from 25.0 to 33.5%. Yerer
gave the highest wet gluten content followed by Leliso, Ejersa, Oda and Cocorit-71.
Genotypes with higher wet gluten content had also higher dry gluten content.
This is due to very high and positive correlation between these traits in the
study. Dry gluten content of the studied genotypes ranged from 8.3% (CDSS94)
to 11.3% (Yerer). This was within the range reported by Bechere
et al. (2000) from 4.2 to 11.7%. Accordingly, Yerer, Ejersa and
Leliso had higher dry gluten content. Dry gluten is an important trait for pasta
quality i.e., genotypes having high protein content and gluten content are preferred
for selection during quality breeding (Troccoli et al.,
Yellow pigment content ranged from 3.0 ppm (Cocorit-71) to 6.9 ppm (CD1B2620).
CD1B2620, CD86772, Obsa and Hitosa had significantly (p<0.05) higher yellow
pigment content than other genotypes, whereas, Cocorit-71 showed significantly
the lowest values (Table 3). According to Landi
(1995), genotypes under this study were classified in to two groups based
on their yellow pigment content values, with values ranging from 3.0 to 5.0
ppm (parts per million) as a medium quality and values over 5.0 ppm as a high
quality groups. Accordingly, genotypes like Cocorit-71, Gerardo, Leliso and
Yerer are in the medium quality class and the remaining genotypes are in the
high quality class. Grain yellow pigment concentration is a desirable end-use
quality trait in durum wheat, where a bright yellow color is a standard quality
pre-requisite for semolina and pasta products. High yellow pigment concentration,
which confers intense bright yellow color durum wheat based products, is highly
appreciated on the market (Santra et al., 2003;
Maccaferri et al., 2009) for its consumer appeal
and for the health benefits associated with carotenoids such as antioxidant
activity and prevention of mascular degeneration (Abdel-Aal
et al., 2007). Generally, almost all genotypes under this study had
yellow pigment content within the acceptable range for good pasta making quality.
Gluten index measures of gluten strength (quality) of the studied genotypes
were within the acceptable range, i.e., higher than 60%. Maximum gluten index
was observed for genotypes Tate (84.7%) followed by Hitosa (81.3%) and Obsa
(79.5%). Oda (66.0%) showed relatively the lowest gluten index value as compared
to other genotypes. The gluten index method provides information on both quantity
and quality of wet gluten. Gluten index value is a criterion defining whether
the gluten quality is weak, medium or strong. It is also a standard quality
descriptor of high or low molecular weight glutenin subunit (Collar
et al., 2007).
SDS-sedimentation volume is a measure of gluten strength of wheat genotypes
in breeding programs (Kovacs et al., 1997). It
is an important quality trait because of its predictive role in pasta making
quality in durum wheat and positive correlations with other quality parameters
of wheat (Brites and Carrillo, 2001). Hitosa, Ilani,
Bakkalcha and CD86772 had highest SDS sedimentation volume than other genotypes,
whereas; Leliso recorded the lowest sedimentation volume. Petrova
(2007) reported on Bulgarian durum wheat varieties that sedimentation volumes
of 25 to 35 mL indicate moderate gluten-strength varieties and volumes greater
than 35 mL indicate strong-gluten varieties. According to the author, all the
genotypes under this study were within moderate to strong gluten range based
on SDS-sedimentation volume.
Alveograph measures of gluten strength parameters indicated a wide range of
dough strength among the durum wheat genotypes. Gluten strength differences
among genotypes were clearly distinguishable by W, P and P/L measurements. The
Chopin alveograph analysis indicated that Hitosa (187.6x10-4 J) and
Denbi (173.7x10-4J) followed by Ilani (156.5x10-4J) and
Ejersa (151x10-4J) performed well for alveograph dough strength (W).
Gerardo, Oda and Leliso showed lower alveograph strength (W). Study by Cubadda
et al. (1992) for alveograph W showed a range of values from 48 to 120x10-4
J. Therefore, in this study all genotypes are within and some are even higher
than the range reported by the author.
Hitosa, Denbi and Ude, exhibited the highest alveograph elasticity (P). The
alveograph elasticity/extensibility ratio (P/L) value showed very different
gluten elasticity increasing from 1.7 to 3.5. Accordingly, Hitosa, Denbi, Bakkalcha
and Ude showed the highest elasticity and lower extensibility. The greater dough
resistance and lower extensibility may be associated with the increase in gluten
protein quality. Alveograph parameters are the measures of dough viscoelastic
properties and thereby gluten strength (quality). Du Cros
(1987) found out that viscoelasticity of cooked pasta correlates strongly
with protein content and type. The strong gluten quality of the genotypes may
be due to the presence of HMW-GS and LMW-2/γ-45 gliadin. Ruiz
and Carrillo (1995) found out that there is a general agreement that the
presence of LMW-2/γ-gliadin45 allelic pattern and 6+8/7+8 HMWGS, in durum
wheat, are correlated with strong gluten genotypes and good pasta-making quality,
whereas that of LMW-1 and γ-gliadin 42 implicated to give poor pasta quality.
This is very important for breeding of durum wheat and predicting the quality
of flour and dough.
Correlation and path coefficient analysis: Genetic relationship of traits
may result from pleotropic effects of a gene, linkage of two genes, linkage
disequilibrium and epistatic effects of different genes or due to the environmental
influences (Falconer and Mackay, 1996). The genotypic
correlation coefficients showed significant association among some traits (Table
4). Thousand kernel weight (rg = 0.55*), wet gluten content (rg
= 0.86**) and dry gluten content (rg = 0.85**) revealed significant
positive association with grain protein content. SDS sedimentation volume (rg
= -0.49*) showed negative and significant correlation with protein content.
Vitreousity was negatively and strongly related to grain hardness. This implies
harder genotypes were more vitreous as higher values of grain hardness based
on particle size index indicates softness of the kernels. Therefore, the direction
of the correlation will be reversed. Similarly, vitreousity showed positive
and significant correlation with alveograph elasticity (rg = 0.49*)
and elasticity/extensibility ratio (rg = 0.49*).
Test weight revealed significant positive association with yellow pigment content
(rg = 0.59*), alveograph elasticity (rg = 0.52*) and elasticity/extensibility
ratio (rg = 0.62**). This is partially in accordance with the investigations
of Rharrabti et al. (2000).
|| Estimates of genotypic correlation coefficients among 13
quality parameters in durum wheat genotypes
|*,* *: Significant at 0.05 and 0.01 probability levels, respectively,
TKW: Thousand kernel weight (g), TW: Test weight (kg hl-1), V:
Vitreousity (%), GH: Grain hardness (%), GPC: Grain protein content (%),
WGC: Wet gluten content (%), DGC: Dry gluten content (%), GI: Gluten index
(%), SDS: Sedimentation volume (mL), YPC: Yellow pigment content (ppm),
W: Alveograph dough strength (x10-4J), P: Elasticity (mmH2O),
P/L: Elasticity/extensibility ratio
Positive and highly significant correlation was observed between wet gluten
content and dry gluten content (rg = 0.92**). This was in agreement
with the works of Pena and Pfeiffer (2005) who observed
a very high and positive correlation between dry and wet gluten contents. It
implies that gluten hydration capacity is at large a measure of gluten quantity
rather than of gluten quality. It also showed positive and significant relationship
with thousand kernel weight (rg = 0.50*). However, it revealed negative
and medium to strong associations with SDS sedimentation volume (rg
= -0.55*) and yellow pigment content (rg= -0.61**). The SDS sedimentation
volume showed positive and significant correlation of moderate magnitude with
gluten index (rg = 0.53*), alveograph strength W (rg =
0.58*), alveograph elasticity (rg = 0.53*) and alveograph elasticity/
extensibility ratio (rg = 0.57*). This partially agrees with studies
carried out by Ammar et al. (2000) and Brites
and Carrillo (2001) who reported medium to high relationships among SDS-sedimentation,
gluten index, alveograph parameters of strength and extensibility. Other researcher
(Pena, 2000) found out a weak to moderate association
for sedimentation volume with alveograph dough strength (W) and alveograph elasticity/
extensibility ratio (P/L). Alveograph elasticity/extensibility ratio (P/L) was
strongly correlated with alveograph elasticity P (rg = 0.91**) and
alveograph dough strength W (rg = 0.79**). This was in agreement
with those of Nelson et al. (2006).
Genotypic path coefficient analysis for traits that had significant correlation
with grain protein content revealed that dry gluten content (0.65**) had the
highest positive and significant direct effect on grain protein content followed
by thousand kernel weight (0.26*), whereas, SDS sedimentation volume had negative
direct effects (Table 5). Therefore, this study revealed that
dry gluten content and thousand kernel weights are important as selection criteria
for improvement of grain protein content in durum wheat. The high residual effect
(0.44) indicated considerable amount of variability in grain protein content
has not been accounted for by the independent characters included in this analysis
(Singh and Chaudhary, 1999).
|| Estimates of genotypic path coefficient of direct (bold diagonal)
and indirect effects of 4 quality parameters on grain protein content for
durum wheat genotypes
|Residual effect = 0.44, TKW: Thousand kernel weight (g), WGC:
Wet gluten content (%), DGC: Dry gluten content (%), SDS: Sedimentation
volume (mL), *, **: Significant at 0.05 and 0.01 probability levels, respectively,
rg: Genotypic correlation coefficient of traits with grain protein
The present study depicted the presence substantial variations among durum
wheat genotypes for all quality parameters tested which gives an opportunity
to plant breeders for the improvement these traits. Genetic correlation coefficient
analysis indicated that important quality parameters are positively correlated
with grain protein content. This suggests a common genetic basis among these
traits. Hence, simultaneous improvement of these traits would be possible. Path
coefficient analysis revealed that dry gluten content and thousand kernel weight
showed the highest positive direct effect and significant positive correlation
with grain protein content. Hence, these traits are important as suitable selection
criteria for improvement of protein content in durum wheat. All the studied
genotypes except Gerardo, Oda and Cocorit-71 were superior across most quality
traits and could also serve as good donor sources in durum wheat breeding programs.
The authors acknowledge Oromia Agricultural Research Institute: Sinana Agricultural Research Center for financial support. Debre Zeit Agricultural Research center for providing samples of durum wheat varieties. We also thank research and technical staff of Cereal Crops Research Team of Sinana Agriculture Research Center for their assistance in field trials management and data collection. Mr. Shure Seboka for skilled technical support and Meseret Ersullo and Tsigie Darsehe for their assistance in the laboratory quality analysis are acknowledged.
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