Nine bread wheat (Triticum aestivum L.) genotypes were crossed in a line × tester mating design. The 20 F1's and their parents were evaluated in a randomized complete block design with three replications at the Field Crop Institute-Agricultural Experimental Station of Setif (Algeria) during the 2011/2012 cropping season. The results indicated that sufficient genetic variability was observed for all characters studied. A899 × Rmada, A899 × Wifak, and A1135 × Wifak hybrids had greater grain yield mean than the parents. A901 line and the tester Wifak were good combiners for the number of grains per spike. MD is a good combiner for 1000-kernel weight and number of fertile tillers. HD1220 is a good general combiner to reduce plant height; Rmada is a good general combiner to shorten the duration of the vegetative growth period. A901 × Wifak is a best specific combiner to reduce plant height, to increase 1000-kernel weight and number of grains per spike. AA × MD is a best specific combiner to reduce duration of the vegetative period, plant height and to increase the number of kernels per spike. A899 × Wifak showed the highest heterosis for grain yield, accompanied with positive heterosis for the number of fertile tillers and spike length, and negative heterosis for 1000-kernel weight and the number of days to heading. σgca2/σsca2, (σD2/σA2)1/2 low ratios and low to intermediate estimates of h2ns supported the involvement of both additive and nonadditive gene effects. The preponderance of non-additive type of gene actions clearly indicated that selection of superior plants should be postponed to later generation.
1. Introduction
Bread wheat (Triticum aestivum L.) is an important staple food in Algeria. This crop ranks third after durum wheat (Triticum durum Desf.) and barley (Hordeum vulgare L.), with a yearly cropped area of 0.8 million hectares, representing 24.2% of the 3.3 million hectares devoted to small grain cereals. Algeria imported 3.0 million tons of bread wheat in 2010/2011, to remedy the decline in the domestic production and to build stocks to meet the needs.
Increasing wheat production can be achieved by application of improved agronomic technics, developing and adopting high yielding varieties. Major emphasis, in breeding program, is put on the development of improved varieties with superior qualitative and quantitative traits and resilience to abiotic stresses. In fact, genetic improvement in bread wheat, having better tolerance against terminal heat and water stress, has a good promise to improve grain yield average and total wheat production.
However to breed high yielding varieties, breeders often face the problem of selecting parents and crosses. In this context various breeding approaches have been suggested. The line × tester analysis method introduced by Kempthorne [1] is one of the powerful tools available to estimate the combining ability effects and aids in selecting desirable parents and crosses for exploitation in pedigree breeding [2–4]. Performances per se do not necessarily reveal which parents are good or poor combiners. To surmount this difficulty, it is necessary to gather information on the nature of gene actions. General combining ability is attributed to additive type of gene effects, while specific combining ability is attributed to nonadditive type of gene actions. Nonadditive gene type of actions is not reliably fixable whereas additive type of gene actions or complementary type epistatic gene interactions are reliably fixable [5–7].
Heterosis estimates, for different morphological and yield related characters, are attributed to both additive and nonadditive gene actions. Heritability gives information about genetic variation; it is useful for predicting the response to selection in the succeeding generations. Heritability is dependent upon the nature of gene action [8–10]. Better understanding of the underlying genetic control of important traits in bread wheat is useful in breeding for higher grain yield. Kamaluddin et al. [11] reported high contribution of general combining ability for genetic control of bread wheat characters. Kumar and Maloo [12] identified the best specific and general combiners that were efficient for breeding days to flowering and grain yield in bread wheat. Involvement of both additive and dominance gene actions was also reported for genetic control of heading time in wheat [7], grain yield [13], number of grains per spike, 1000-kernel weight [14], and fertile tillers per plant [15]. Ahmad et al. [16] reported that additive gene effect was important for days to heading. Khan and Habib [17] observed that grain weight was controlled by over dominance type of gene action.
The objectives of this study are to assess the combining ability, to determine the nature and magnitude of gene actions and to estimate heterosis and heritability for yield and yield-related traits in a line × tester mating design in bread wheat.
2. Materials and Methods
The present investigation was carried out at the Field Crop Institute-Agricultural Experimental Station of Setif (ITGC-AES, 36°12′N and 05°24′E, Algeria) during the 2010/2011 and 2011/2012 cropping seasons. The soil of the experimental site is silty clay, with CaCO3 and organic matter contents of 35% and 1.35%, respectively. The experimental material comprises nine bread wheat (Triticum aestivum L.) genotypes. Five genotypes, Acsad901, Acsad899, Acsad1135, Acsad1069, and Ain Abid, were used as females, hereafter designated as lines; and four genotypes: Mahon Demias, Rmada, HD1220, Wifak, designated as testers, were used as males. Mahon Demias is a genealogical selection from a land race introduced from Balearic Islands in the mid-forties of the past century. This cultivar is widely adapted to the arid and semiarid high plateaus of Algeria. HD1220 is a selection from CIMMYT segregating material; it was released as cultivar in the nineties. Drought tolerant and early maturing, this variety gained large acceptance from farmers due to its high yielding potential [18].
The nine parents were crossed to produce 20 F1 hybrids according to the line × tester mating design developed by Kempthorne [1]. F1 seeds were sown in the field, along with their parents, in a randomized complete block design with three replications. Each plot comprised one row of 2.5 m length with space of 30 cm between rows and seeds were placed 15 cm apart. Recommended cultural practices were followed to raise a good crop. Monoammonium phosphate (52% P2O5 + 12% N) with 80 kg ha−1 was applied just before sowing and 75 kg ha−1 of Sulfate (26% N + 35% SO3) was spread at tillering stage. Weeds were controlled by application of 12 g ha−1 of Granstar [Methyl Triberunon] herbicide mixed with water.
Five competitive plants (excluding border plants) were tagged before heading and data were recorded for the number of days to heading, plant height, spike length, number of fertile tillers per plant, number of grains per spike, 1000-kernel weight, and grain yield per plant. Data recorded were subjected to analysis of variance according to Steel and Torrie [19] to determine significant differences among genotypes. Combining ability effects are very effective genetic parameters in deciding the next phase of breeding programs. They were computed according to the line × tester method [20]. Line × tester analysis was performed as outlined in the format of ANOVA table given in Table 1.
ANOVA for line × tester analysis.
Source of variation
Degree of freedom (df)
Mean square
Replication (r)
(r-1)
Genotypes (g)
(g-1)
MS2
Parents (p)
(p-1)
Parents versus crosses
1
Crosses (c)
(c-1)
Lines (l)
(l-1)
Ml
Testers (t)
(t-1)
Mt
Lines × testers
(l-1)(t-1)
Ml×t
Error
(r-1)(t-1)
MS1
Where MS2, Ml, Mt, Ml×t, and MS1 were genotypic mean square, line mean square, tester mean square, line × tester mean square, and error mean square, respectively.
The variances for general and specific combining ability were tested against their respective error variances, derived from the analysis of variance of the different traits as follows:
(1)Covarianceofhalf-sibofline=Cov.H.S.(line)=Ml-Ml×trt,(2)Covarianceofhalf-siboftester=Cov.H.S.(tester)=Mt-Ml×trl,(3)Covarianceoffullsib=Cov.F.S.=(Ml-Me)+(Mt-Me)+(Ml×t-Me)3r+6rCov.H.S.-r(l+t)Cov.H.S.3r.
While Cov.H.S. (average) was calculated by the formula
(4)Cov.H.S.(average)=1r(2lt-l-t)[(l-1)(Ml)+(t-1)(Mt)l+t-2-Ml×t].
Assuming no epistasis, variance due to GCA (σgca2) and variance due to SCA (σsca2) were calculated as follows:
(5)σgca2=Cov.H.S.=(1+F4)σA2σsca2=(1+F2)2σD2.
Additive and dominance genetic variances (σA2 and σD2) were calculated by taking inbreeding coefficient (F) equal to one; that is, F=1 because both lines and testers were inbred.
Significance test for general combining ability and specific combining ability effects were performed using t-test. Mid-parent heterosis (HPM) is defined as the increased vigor of the F1 over the mean of the parents. It was estimated from mean values and its significance was performed using t-test [21]. Narrow sense heritability was estimated, after derivation of the variance components [20]. (σgca2/σsca2), and (σD2/σA2)1/2 ratios were used to rate the relative weight of additive versus nonadditive type of gene actions [22].
3. Results and Discussion3.1. Genetic Variability among Parents and Hybrids
The analysis of variance revealed significant genotype effect for all the characters under study. This provides evidence of the presence of sufficient genetic variability among lines, testers, and hybrids and allows further assessment of general combining ability analysis (Table 2). Differences between the extreme mean values for the measured traits were 8.7 days, 36.6 cm, 3.4 cm, 10.4 tillers, 15.3 g, 33.7 grains, and 16.1 g for days to heading, plant height, spike length, fertile tillers, 1000-kernel weight, grains per spike, and grain yield, respectively. These differences were 3 to 5 times higher than the LSD0.05 values. Parents and crosses showed significant effects for all traits. Mean square of the contrast “parents versus crosses” was significant for days to heading, plant height, spike length, fertile tillers, and grain yield and nonsignificant for 1000-kernel weight and number of grains per spike (Table 2). The differences between overall mean of parents and that of hybrids indicated that hybrids were 1.1 days earlier, 4.0 cm taller and had more effective tillers and a grain yield advantage of 2.7 g. Parents and hybrids showed similar averages for 1000-kernel weight and number of grains per spike (Table 3). Line and tester effects were significant for all traits (Table 2).
Analysis of variance for combining ability effects of different bread wheat characters.
Source
df
DHE
PHT
SL
FT
TKW
NG
GY
Rep
2
5.7
54.1
0.3
13
12
52.3
62
Gen
28
15.6*
226.8*
2.9*
23.4*
33.2**
152.8**
39.7*
Par (P)
8
26.4*
348.0*
2.6*
29.9*
63.1**
279.1**
42.7*
Crosses (C)
19
10.7*
171.8*
2.5*
19.6*
22.3**
107.6**
33.8*
P versus C
1
21.4*
301.4*
11.9*
44.5*
0.9ns
2.3ns
129.0*
Lines (L)
4
21.2*
89.0*
3.3*
28.1*
26.8**
120.5*
65.5*
Testers (L)
3
39.5*
751.2*
2.5*
37.2*
91.1**
357.7**
25.8*
L versus T
1
7.6ns
174.7*
0.3ns
15.1*
45.3*
267.6*
2.2ns
L × T
12
4.2ns
46.8*
1.9*
10.0*
3.6ns
40.8*
25.6*
Error
56
2.5
24.1
0.7
3.4
6
11.1
6.5
DHE: number of days to heading, PHT: plant height (cm), SL: spike length (cm), FT: number of fertile tillers, TKW: thousand-kernel weight (g), NG: number of grains per spike, GY: grain yield (g), ns, * and **: non-significant and significant effect at 0.05 and 0.01 probability, P: parents, C: crosses, L: lines, and T: testers.
Means of the measured characters for 9 bread wheat parents and their 20 F1 hybrids.
DHE
PHT
SL
FT
TKW
NG
GY
Lines
A901
133.0efg
66.2jk
11.8hij
7.8h
23.9i
55.1ab
10.5i
A899
137.3b
69.6hijk
11.5ij
13.7abcdef
32.7abcdefgh
44.9cdef
20.0abcdefgh
A1135
132.7efg
80.9bcdef
13.5abcde
15.0abcd
32.8abcdefg
44.4def
21.7abcdefg
A1069
132.3efg
73.1efghij
12.7efghij
11.8bcdefgh
32.4abcdefgh
49.9bcdef
18.8abcdefgh
AA
137.7ab
71.6fghijk
14.0abcde
8.8efgh
26.1ghi
60.0a
13.7ghi
Testers
MD
140.0a
99.8a
11.4j
16.8ab
39.2a
26.3h
17.3bcdefghi
Rmada
132.7efg
76.0efghi
13.6abcde
14.1abcd
29.5abcdefgh
47.6bcdef
20.4abcdefgh
HD1220
137.3b
63.2k
12.2fghij
12.4bcdefgh
27.3abcdefgh
55.0ab
18.8abcdefgh
Wifak
132.7efg
70.6ghijk
12.8defghi
8.4fgh
32.8hi
49.3bcdef
13.5hi
Lines × testers
A901 × MD
134.3def
87.6bc
13.2bcdefg
14.7abcd
32.1cdef
42.6efg
20.2abcdefgh
A901 × Rmada
132.7efg
75.2fghij
13.5abcdef
14.9abcd
27.0hij
51.8abcd
20.6abcdefgh
A901 × HD1220
134.7cde
69.8hijk
11.9ghij
10.9cdefgh
25.0j
50.6bcdef
14.6fghi
A901 × Wifak
133.7defg
67.1ijk
11.9ghij
8.3gh
29.3fghij
60.0a
15.4efghi
A899 × MD
137.0bc
89.6b
13.1cdefgh
17.7a
33.1bcde
34.9gh
20.4abcdefgh
A899 × Rmada
132.0fg
75.8efghi
14.1abcd
16.5ab
29.7defghi
49.3bcdef
24.2abc
A899 × HD1220
135.7bcd
70.6ghijk
11.8ghij
13.9abcde
29.4efghi
50.2bcdef
20.2abcdefgh
A899 × Wifak
132.3efg
78.0cdefgh
14.0abcde
18.2a
29.5efghi
50.5bcdef
26.6a
A1135 × MD
138.0ab
82.2bcde
11.6ij
14.0abcde
35.2bc
34.7gh
17.3bcdefghi
A1135 × Rmada
132.0fg
80.3bcdef
14.1abc
13.3abcdefg
30.7defgh
47.5bcdef
19.4abcdefgh
A1135 × HD1220
133.7defg
74.5efghij
14.0abcde
15.1abcd
32.0cdef
47.8bcdef
22.7abcde
A1135 × Wifak
131.3g
80.0cdefg
14.5ab
16.1abc
31.4cdefg
48.0bcdef
24.3ab
A1069 × MD
134.3def
99.2a
13.3bcdef
15.1abcd
36.8ab
42.4fg
23.6abcd
A1069 × Rmada
132.0fg
77.7defgh
13.7abcde
13.9abcde
29.9defghi
53.7abc
22.2abcdef
A1069 × HD1220
133.7defg
74.0efghij
13.4bcdef
12.1bcdefgh
29.0fghi
50.2bcdef
17.4bcdefghi
A1069 × Wifak
132.0fg
78.4cdefgh
14.0abcde
13.7abcde
30.3defgh
48.1bcdef
19.7abcdefgh
AA × MD
135.7bcd
86.1bcd
13.8abcde
12.1bcdefgh
33.6bcd
51.5abcdef
20.0abcdefgh
AA × Rmada
134.0def
77.5defgh
14.8a
10.5defgh
29.7defghi
52.2abcd
16.2cdefghi
AA × HD1220
137.0bc
71.7fghijk
13.9abcde
11.1cdefgh
27.8ghij
52.1abcd
15.7defghi
AA × Wifak
134.0def
76.5efghi
13.6abcde
10.8cdefgh
30.1defghi
51.6abcde
16.6bcdefghi
Over all mean
134.3
77.3
13.2
13.2
30.6
48.4
19.0
LSD0.05
1.9
6.9
1.0
2.2
2.9
6.6
3.0
DHE: number of days to heading, PHT: plant height (cm), SL: spike length (cm), FT: number of fertile tillers, TKW: thousand-kernel weight (g), NG: number of grains per spike, and GY: grain yield (g).
Means within each column followed by the same letter are not significantly different from each other based on the 0.05 probability level of LSD.
Among lines, the differences, between the extreme mean values for the measured traits, were 5.4 days, 14.7 cm, 2.5 cm, 7.2 tillers, 8.9 g, 15.6 grains, and 11.2 g for days to heading, plant height, spike length, fertile tillers, 1000-kernel weight, grains per spike, and grain yield, respectively (Table 3). The best grain yielding line is A1135 which is the tallest and had also the highest average for the number of fertile tillers and 1000-kernel weight (Table 3). A1069 was the earliest with an average of 132.3 days, while Ain Abid (AA) had the longest and most fertile spike (Table 3). Among testers, the differences, between the extreme mean values for the characters under study, were 7.3 days, 36.6 cm, 2.2 cm, 8.4 tillers, 11.9 g, 28.7 grains, and 6.9 g for days to heading, plant height, spike length, fertile tillers, 1000-kernel weight, grains per spike, and grain yield, respectively (Table 3). The best grain yielding tester was Rmada (20.4 g) which exhibited also the longest spike (13.6 cm). Wifak was the earliest with an average of 132.7 days, while Mahon Demias (MD) was the tallest with 99.8 cm and presented the highest mean for the number of fertile tillers and 1000-kernel weight. HD1220 expressed the best average of the number of grains per spike (Table 3). Compared to testers, lines showed shorter plant height (−5.1 cm), lighter 1000-kernel weight (−2.6 g), and higher number of grains per spike (+6.3 grains). The interaction lines × testers were significant for plant height, spike length, fertile tillers, number of grains per spike, and grain yield, suggesting that hybrids perform better than the parents for these traits (Table 2).
Mean values of the hybrids were within the limits of the means of the parents for the number of days to heading, plant height, spike length, and number of grain per spike. For grain yield, A899 × Rmada, A899 × Wifak and A1135 × Wifak cross-combinations presented higher mean values than the parents (Table 3). Genetic variability and mean performance of parents and hybrids are important criteria for genotypic evaluation; however, the parents with high mean value may not transmit this characteristic to their hybrids. These parental and hybrid abilities are estimated in terms of general combining ability (GCA) and specific combing ability (SCA) effects.
3.2. General and Specific Combining Ability Effects
The significance of mean squares, due to lines and testers, for the number of days to heading and 1000-kernel weight suggested the prevalence of additive genetic effects for these traits. While the simultaneous significance of mean squares due to lines, testers and lines × testers for plant height, spike length, fertile tillers, number of grains per spike and grain yield indicated that both additive and nonadditive type of gene action were involved in the genetic control of these characters. A901, A899, and AA lines and the tester HD1220 exhibited significant but negative GCA for grain yield. A901 line and the tester Wifak presented significant and positive GCA effects for the number of grains per spike (Table 4). MD is the best combiner for 1000-kernel weight, number of fertile tillers, and the number of days to heading, with GCA effect of 5.38, 1.64, and 2.80, respectively. HD1220 is a good general combiner to reduce plant height (Table 4). Significant negative GCA effect for plant height is useful for the development of dwarf plant material. The tester Rmada had significant and negative GCA for the number of days to heading. This tester is a good general combiner to shorten the duration of the vegetative growth period.
General combining ability (gi) effects for characters in bread wheat parents.
Parents
DHE
PHT
SL
FT
TKW
NG
GY
Lines
A901
−0.25
−5.53**
−1.20**
−2.17*
−3.34**
4.17**
−3.26*
A899
0.38
−0.12
−0.23
4.41**
−0.23
−3.41*
-4.47**
A1135
−0.38
1
0.2
1.47
2.64**
−5.98**
1.61
A1069
−1.50**
5.64**
0.28
0.09
1.34*
0.16
1.28
AA
1.75**
−0.99
0.95**
−3.80**
−0.4
5.05**
−4.11**
se (gl)
0.45
1.64
0.23
0.9
0.61
0.45
1.35
Testers
MD
2.80**
15.52**
−0.61**
1.64*
5.38**
−10.9**
0.63
Rmada
−2.20**
−1.92
0.96**
0.27
−1.76**
3.6**
0.97
HD1220
1.40**
−9.74**
−0.63**
−1.58*
−2.92**
2.55
−2.58*
Wifak
−2.00**
−3.86**
0.28
−0.33
−0.71
4.7**
0.98
se (gt)
0.39
1.42
0.2
0.78
0.53
1.29
1.17
DHE: number of days to heading, PHT: plant height (cm), SL: spike length (cm), FT: number of fertile tillers, TKW: thousand-kernel weight (g), NG: number of grains per spike, GY: grain yield (g), se (gl): standard error for GCA effects for line, se (gt): standard error for GCA effects for tester, ns, and * and **: non-significant and significant effect at 0.05 and 0.01 probability.
Even though SCA effects do not contribute tangibly in the improvement of self-pollinated crops, except in situations where exploitation of heterosis is feasible, best hybrids are expected to generate transgressive segregants which could be selected as potent homozygous lines. A901 × MD hybrid exhibited significant SCA effects, simultaneously, for the number days to heading and spike length. This cross-combination is best suited to select among its offspring’s the earliest ones, bearing long spike (Table 5). According to Kenga et al. [23], cross-combinations with high means, favorable SCA estimates and involving at least one of the parents with high GCA would likely enhance the concentration of favorable alleles to improve target traits. In the present study, it is worth noting that A901 presented a significant and negative GCA effect for spike length while MD presented significant GCA, negative for spike length and positive for days to heading (Table 4). The positive SCA effect for spike length of this cross-combination resulted from parents having both significant and negative GCA. One parent of this hybrid presented a positive and significant GCA for days to heading while the hybrid exhibited a significant and negative SCA for this trait (Tables 4 and 5). A901 × Rmada presented a significant and positive SCA effect for the number of fertile tillers per plant. One parent of this cross-combination, the line A901, had a significant and negative GCA for the number of fertile tillers. A901 × Wifak exhibited significant SCA effects, negative for plant height, spike length, fertile tillers, and positive for 1000-kernel weight and number of grains per spike (Table 5). Both parents, A901 and Wifak, of this cross presented significant GCA for the number of grains per spike and plant height; and at least one parent had significant GCA effect for days to heading (Wifak), spike length, and the number of fertile tillers (A901) (Table 4). This hybrid is a best specific combiner to reduce plant height and to increase 1000-kernel weight and number of grains per spike. However this cross-combination presents the disadvantage to reduce the number of fertile tillers, which is a strong determinant of grain yield, under semiarid growth conditions [24].
Specific combining ability (sij) effects for characters in bread wheat hybrids.
Crosses
DHE
PHT
SL
FT
TKW
NG
GY
A901 × MD
−2.05*
3.5
1.44**
2.17
0.32
−2.05
3.1
A901 × Rmada
0.45
2.32
0.36
3.74*
−0.33
−2.81
3.39
A901 × HD1220
−0.15
2.07
−0.49
−0.41
−2.14*
−3.51
−2
A901 × Wifak
1.75
−7.89**
−1.31**
−5.50**
2.14*
8.36**
−4.5
A899 × MD
1.32
1.15
0.41
0.09
−1.33
−6.11*
−4.31
A899 × Rmada
−1.17
−2.14
0.31
−0.34
0.74
0.94
1
A899 × HD1220
0.72
−2.17
−1.50**
−2.5
1.32
3.5
−1.35
A899 × Wifak
−0.87
3.17
0.77
2.76
−0.74
1.68
4.67
A1135 × MD
3.57**
−11.14**
−2.30**
−2.57
−1.11
−3.84
3.7
A1135 × Rmada
−0.42
3.56
−0.06
−2.2
−0.64
0.9
1.22
A1135 × HD1220
−1.52
2.58
−1.26
2.26
2.44
2.39
−2.43
A1135 × Wifak
−1.62
5
−1.11
2.5
−0.69
0.55
−2.49
A1069 × MD
−0.8
9.79**
0.23
0.52
2.56*
1.59
6.1
A1069 × Rmada
0.7
−4.97
−0.82*
−0.02
−0.65
4.04
1.37
A1069 × HD1220
−0.4
−2.81
0.29
−0.87
−0.8
−0.16
−3.83
A1069 × Wifak
0.5
−2.01
0.29
0.38
−1.11
−5.47*
−3.64
AA × MD
−2.05*
−3.30**
0.22
−0.2
−0.45
10.41**
3.62
AA × Rmada
0.45
1.23
0.2
−1.18
0.88
−3.08
−2.3
AA × HD1220
1.35
0.34
0.44
1.52
−0.82
−2.21
0.49
AA × Wifak
0.25
1.73
−0.86*
−0.13
0.39
−5.12
−1.8
Se (sij)
0.77
2.84
0.39
2.84
1.06
2.58
2.34
DHE: number of days to heading, PHT: plant height (cm), SL: spike length (cm), FT: number of fertile tillers, TKW: thousand-kernel weight (g), NG: number of grains per spike, GY: grain yield (g), se (sij): standard error for SCA effects for crosses, ns, and * and **: non-significant and significant effect at 0.05 and 0.01 probability.
A1069 × MD cross-combination has significant and positive SCA for plant height and 1000-kernel weight. This cross is a best specific combiner to increase plant height and 1000-kernel weight. AA × MD presented significant and negative SCA effect for days to heading and plant height and significant and positive SCA effect for the number of kernels per spike. This cross is a best specific combiner to reduce duration of the vegetative period, plant height and to increase the number of kernels per spike (Table 5). None of the hybrids exhibited significant SCA effect for grain yield, suggesting even though the parents varied widely for grain yield, they generated hybrids with grain yield averages within the grain yield limits of the parents.
3.3. Gene Action, Degree of Dominance, Heterosis, Heritability, and Contribution to the Total Variance
The variance due to general combining ability (σgca2) was lower than specific combining ability variance (σsca2) for all traits studied, suggesting the preponderance of nonadditive gene action controlling these characters (Table 6). Dominance genetic variance was larger than additive genetic variance for all traits. These results are supported by ratio of variance of general to specific combining ability (σgca2/σsca2) which was smaller than unity and by the degree of dominance (σD2/σA2)1/2 which takes values greater than unity (Table 6). Therefore, it appeared that the inheritance of all the studied characters was controlled by a preponderance of nonadditive gene effects. Such type of gene action clearly indicated that selection of superior plants, in terms of grain yield, plant height, fertile tillers, and duration of the vegetative growth period should be postponed to later generation, where these traits can be improved by making selections among the recombinants within the segregating populations.
Estimates of genetic components for the measured characters in bread wheat.
DHE
PHT
SL
FT
TKW
NG
GY
σgca2
1.93
27.65
0.07
1.68
4.10
14.69
1.49
σsca2
12.17
173.48
0.84
12.27
23.80
98.03
15.28
σA2
3.87
55.30
0.15
3.36
8.20
29.38
2.97
σD2
12.17
173.48
0.84
12.27
23.80
98.03
15.28
σgca2/σsca2
0.16
0.16
0.09
0.14
0.17
0.15
0.10
[σD2/σA2]1/2
1.77
1.77
2.39
1.91
1.70
1.83
2.27
hns2
56.30
60.30
10.30
33.30
54.40
50.40
16.90
σA2: additive genetic variance, σD2: dominance genetic variance, hns2: narrow sense heritability, σgca2: estimate of GCA variance, σsca2: estimate of SCA variance, and σgca2/σsca2: average degree of dominance. DHE: number of days to heading, PHT: plant height (cm), SL: spike length (cm), FT: number of fertile tillers, TKW: thousand-kernel weight (g), NG: number of grains per spike, and GY: grain yield (g).
Selection efficiency is related to the magnitude of heritability. In this study, low estimates of narrow-sense heritability were observed for grain yield and spike length, intermediate for the number of fertile tillers per plant, and high for the number of days to heading, plant height, 1000-kernel weight, and number of grains per spike (Table 6).
Heterosis is the process by which the performance of an F1 is superior to that of the mean of the crossed parents. Nine hybrids among 20 exhibited a significant mid-parent heterosis for grain yield. Besides, heterosis for grain yield, A901 × MD, and A899 × Rmada expressed significant heterosis for the number of fertile tillers, spike length and the number of days to heading (Table 7). A899 × Wifak presented the highest heterosis for grain yield, accompanied with positive heterosis for the number of fertile tillers and spike length and negative heterosis for 1000-kernel weight and the number of days to heading (Table 7). Besides heterosis for grain yield, AA × MD hybrid exhibited significant and positive heterosis for the number of grains per spike, spike length, and negative heterosis for the number of days to heading (Table 7). A1069 × MD hybrid exhibited significant and positive heterosis for the number of grains per spike, spike length, and plant height (Table 7).
Significant mid-parent heterosis (%) for seven traits in bread wheat genotypes.
Crosses
DHE
PHT
SL
FT
TKW
NG
GY
A901 × MD
−1.6
13.8
19.5
45.3
A901 × Rmada
36.1
33.3
A901 × HD1220
A901 × Wifak
14.9
28.3
A899 × MD
14.4
16.1
A899 × Rmada
−2.2
12.4
18.7
19.8
A899 × HD1220
A899 × Wifak
−2.0
11.3
15.2
64.7
−9.9
58.8
A1135 × MD
−9.0
A1135 × Rmada
A1135 × HD1220
A1135 × Wifak
10.3
37.6
38.1
A1069 × MD
14.7
10.4
11.3
30.7
A1069 × Rmada
10.2
A1069 × HD1220
A1069 × Wifak
9.8
35.6
22.0
AA × MD
−2.3
8.7
19.4
29.0
AA × Rmada
AA × HD1220
−9.4
AA × Wifak
DHE: number of days to heading, PHT: plant height (cm), SL: spike length (cm), FT: number of fertile tillers, TKW: thousand-kernel weight (g), NG: number of grains per spike, and GY: grain yield (g).
Testers contributed more to the total sum square for number of days to heading, plant height, thousand kernel weight, and number of grains per spike. The contribution of lines was lower compared to the testers and lines × testers interaction for all traits under study. All three sources of variation contributed equally for the number of fertile tillers per plant. Contribution of line × tester was slightly greater than that of testers and lines for grain yield and spike length (Table 8). These results showed that testers and the interaction lines × testers brought much variation in the expression of the studied traits. The results of the present study revealed large variation between parents and hybrids for the seven traits under study. Compared to the parents, hybrids were earlier, taller, bearing more effective tillers, and had higher grain yielding. A1135 line and Rmada tester were high grain yielding. Compared to testers, lines were shorter and had low 1000-kernel weight and higher number of grains per spike. Mean values of the hybrids were within the limits of the parental means for the number of days to heading, plant height, spike length, and number of grain per spike. A899 × Rmada, A899 × Wifak, and A1135 × Wifak cross-combinations exhibited higher mean values for grain yield than the parents.
Proportional (%) contribution of lines, testers, and lines × testers to total hybrids variation in bread wheat.
DHE
PHT
SL
FT
TKW
NG
GY
Lines (L)
33.43
11.23
30.34
32.67
25.30
23.58
40.80
Testers (T)
46.71
71.06
17.24
32.44
64.50
52.49
12.05
L × T
19.87
17.71
52.41
34.88
10.20
23.95
47.84
DHE: number of days to heading, PHT: plant height (cm), SL: spike length (cm), FT: number of fertile tillers, TKW: thousand-kernel weight (g), NG: number of grains per spike, and GY: grain yield (g).
Concomitant significance of mean squares due to lines, testers, and lines × testers for plant height, spike length, fertile tillers, number of grains per spike, and grain yield suggested that both additive and nonadditive types of gene actions were involved in the genetic control of the characters. A901 line and the tester Wifak were good combiners for the number of grains per spike. MD is a good combiner for 1000-kernel weight and number of fertile tillers. HD1220 is a good general combiner to reduce plant height, while the tester Rmada is a good general combiner to shorten the duration of the vegetative growth period.
A901 × MD hybrid exhibited significant SCA effects, simultaneously, for the number of days to heading and spike length. This cross-combination is best suited and offers the opportunity to select, among the progenies, early plant with long spike. This cross-combination resulted from L × L parents for spike length and H × L for days to heading. Verma and Srivastava [22] mentioned that positive SCA effect was usually associated with crosses where at least one parent was a good general combiner. According to Singh et al. [25] the desirable performance of combination like H × L may be ascribed to the interaction between dominant alleles from good combiners and recessive alleles from poor combiners. A901 × Rmada presented a significant and positive SCA effect for the number of fertile tillers per plant. One parent of this cross-combination had significant and negative GCA for the number of fertile tillers. A901 × Wifak exhibited significant SCA effects, negative for plant height, spike length, fertile tillers, and positive for 1000-kernel weight and number of grains per spike. Both parents of this cross presented significant GCA for the number of grains per spike and plant height; and at least one parent had significant GCA effect for days to heading, spike length, and the number of fertile tillers. This hybrid is a best specific combiner to reduce plant height and to increase 1000-kernel weight and number of grains per spike. A1069 × MD cross-combination is a best specific combiner to increase plant height and 1000-kernel weight. AA × MD is a best specific combiner to reduce duration of the vegetative period, plant height and to increase the number of kernels per spike. None of the hybrids exhibited significant SCA effect for grain yield, suggesting even though the parents varied widely for grain yield, they generated hybrids with grain yield average within the grain yield limits of the parents. Tiwari et al. [26] mentioned that hybrid combinations, where at least one parent is a good general combiner, could be used to developing high yielding pure lines due to presence of additive gene action, even if these crosses showed nonsignificant SCA effects though. In this study A901, A899, AA, and HD1220 were poor general combiners for grain yield. σgca2 was lower than σsca2 and σD2 was larger than σA2 for all traits, suggesting the preponderance of nonadditive gene action. These results are supported by σgca2/σsca2 ratio which was smaller than unity and by (σD2/σA2)1/2 ratio which takes values greater than unity. Premlatha et al. [27] reported the importance of nonadditive gene action for plant height and grain yield. Gnanasekaran et al. [28] reported nonadditive gene action for seed weight and plant height, while Sharma [29] reported an additive gene effect. Similar results of predominance of σsca2 variance over σgca2 have been reported by Verma et al. [30] for barley. The results of this study do not corroborated findings reported by Borghi et al. [31] and Borghi and Perenzin [32] who observed that σgca2 was of greater importance than σsca2 for majority of characters. Lucken [33] noted that nonadditive σsca2 is best expressed in space planting. The difference in the results of various pieces of research may be attributed to differences of breeding material and to genotype × environments. Betrán et al. [34] observed significant interactions for combining abilities under low and high nitrogen in maize. The preponderance of nonadditive type of gene actions clearly indicated that selection of superior plants, in terms of grain yield, plant height, fertile tillers, and duration of the vegetative growth period, should be postponed to later generation.
Low estimates of hns2 were observed for grain yield and spike length, intermediate for the number of fertile tillers per plant, and high for the number of days to heading, plant height, 1000-kernel weight, and number of grains per spike. This supported the involvement of both additive and nonadditive gene effects. Medium to high narrow sense heritability estimates were reported by Yadav et al. [35], for different traits. Nine hybrids among 20 exhibited a significant mid-parent heterosis for grain yield. Besides, heterosis for grain yield, A901 × MD and A899 × Rmada, expressed significant heterosis for the number of fertile tillers, spike length, and the number of days to heading. A899 × Wifak showed the highest heterosis for grain yield, accompanied with positive heterosis for the number of fertile tillers and spike length and negative heterosis for 1000-kernel weight and the number of days to heading. AA × MD hybrid exhibited significant and positive heterosis for the number of grains per spike, spike length, and negative heterosis for the number of days to heading. The results indicated that testers and the interaction lines × testers contributed more to the variation in the expression of the studied traits.
4. Conclusion
A899 × Rmada, A899 × Wifak, and A1135 × Wifak hybrids had greater grain yield mean than the parents. σgca2/σsca2, (σD2/σA2)1/2 low ratios and low to intermediate estimates of hns2 supported the involvement of both additive and nonadditive gene effects with preponderance of nonadditive type of gene actions. The testers and the interaction lines × testers contributed more to the variation of the expression of the different traits. A901 line and the tester Wifak were good combiners for the number of grains per spike. MD is a good combiner for 1000-kernel weight and number of fertile tillers. HD1220 is a good general combiner to reduce plant height; Rmada is a good general combiner to shorten the duration of the vegetative growth period. A901 × Wifak is a best specific combiner to reduce plant height, to increase 1000-kernel weight and number of grains per spike. AA × MD is a best specific combiner to reduce duration of the vegetative period, plant height and to increase the number of kernels per spike. A899 × Wifak showed the highest heterosis for grain yield, accompanied with positive heterosis for the number of fertile tillers and spike length and negative heterosis for 1000-kernel weight and the number of days to heading. The preponderance of nonadditive type of gene actions clearly indicated that selection of superior plants should be postponed to later generations.
KempthorneO.1957New York, NY, USAJohn Wiley & SonsRashidM.CheemaA. A.AshrafM.Line x tester analysis in basmati rice2007396203520422-s2.0-46749143361BasbagS.EkinciR.GencerO.Combining ability and heterosis for earliness characters in line x tester population of Gossypium hirsutum L200714451851902-s2.0-3634898851510.1111/j.2007.0018-0661.01998.xJainS. K.SastryE. V. D.Heterosis and combining ability for grain yield and its contributing traits in bread wheat (Triticum aestivum L.)201211722XiangB.LiB.A new mixed analytical method for genetic analysis of diallel data20013112225222592-s2.0-003572002410.1139/cjfr-31-12-2252YanW.HuntL. A.Biplot analysis of diallel data200242121302-s2.0-0036156541IqbalM.NavabiA.SalmonD. F.YangR.-C.MurdochB. M.MooreS. S.SpanerD.Genetic analysis of flowering and maturity time in high latitude spring wheat: genetic analysis of earliness in spring wheat20071541-22072182-s2.0-3384732976310.1007/s10681-006-9289-ySwatiP. G.RameshB. R.The nature and divergence in relation to yield traits in rice germplasm2004255985602HasnainZ.AbbasG.SaeedA.ShakeelA.MuhammadA.RahimM. A.Combining ability for plant height and yield related traits in wheat (Triticum aestivum L.)2006441671175ChowdharyM. A.SajadM.AshrafM. I.Analysis on combining ability of metric traits in bread wheat (Triticum aestivum L.)20074511118KamaluddinK.SinghR. M.PrasadL. C.AbdinM. Z.JoshiA. K.Combining ability analysis for grain filling duration and yield traits in spring wheat (Triticum aestivum L. Em. Thell)20073024114162-s2.0-34547496542KumarV.MalooS. R.Heterosis and combining ability studies for yield components and grain protein content in bread wheat (Triticum aestivum L.)20117143633662-s2.0-84855712885MahmoodN.ChowdhryM. A.Inheritance of flag leaf in bread wheat genotypes200090712AhmadiJ.ZaliA. A.SamadiB. Y.TalaieA.GhannadhaM. R.SaeidiA.A study of combining ability and gene effect in bread wheat under stress conditions by diallel method200334118ChowdhryM. A.MahmoodM. T.KhaliqI.Genetic analysis of some drought and yield related characters in Pakistani spring wheat varieties19968211118AhmadF.KhanS.LatifA.KhanH.KhanA.NawazA.Genetics of yield and related traits in bread wheat over different planting dates using diallel analysis201166156415712-s2.0-79956319738KhanA. S.HabibI.Gene action in a five parent diallel cross of spring wheat (Triticum aestivum L.)20036194511948BenderradjiL.BriniF.AmarS. B.KellouK.AzazaJ.MasmoudiK.BouzerzourH.HaninM.Sodium transport in the seedlings of two bread wheat (Triticum aestivum L.) Genotypes showing contrasting salt stress tolerance2011532332412-s2.0-79955980037SteelR. G. D.TorrieJ. H.1980New York, NY, USAMcGraw HillSinghR. K.ChaudharyB. D.1985New Delhi, IndiaKalyaniOettlerG.TamsS. H.UtzH. F.BauerE.MelchingerA. E.Prospects for hybrid breeding in winter triticale: I. Heterosis and combining ability for agronomic traits in European elite germplasm2005454147614822-s2.0-2284444561010.2135/cropsci2004.0462VermaO. P.SrivastavaH. K.Genetic component and combining ability analyses in relation to heterosis for yield and associated traits using three diverse rice-growing ecosystems2004882-3911022-s2.0-244252857010.1016/S0378-4290(03)00080-7KengaR.AlabiS. O.GuptaS. C.Combining ability studies in tropical sorghum (Sorghum bicolor (L.) Moench)2004882-32512602-s2.0-244248875210.1016/j.fcr.2004.01.002AdjabiA.BouzerzourH.LelargeC.BenmahammedA.MekhloufA.HanachiA.Relationships between grain yield performance, temporal stability and carbon isotope discrimination in durum wheat (Triticum durum Desf.) under Mediterranean conditions2007622943012-s2.0-34948888290SinghN. B.SinghV. P.SinghN.Variation in physiological traits in promising wheat varieties under late sown condition200519171175TiwariD. K.PandeyP.GiriS. P.DwivediJ. L.Prediction of gene action, heterosis and combining ability to identify superior rice hybrids2011721261442-s2.0-8005273178210.3923/ijb.2011.126.144PremlathaM.KalamaniA.NirmalakumariA.Heterosis and combining ability for grain yield and quality in maize (Zea mays L.)201156126412662-s2.0-79960430631GnanasekaranM.VivekanandanP.MuthuramuS.Combining ability and heterosis for yield and grain quality in two line rice (Oryza sativa L.) hybrids200666669SharmaR. K.Studies on gene action and combining ability for yield and its component traits in rice (Oryza sativa L.)2006662272228VermaA. K.VishwakarmaS. R.SinghP. K.Line x tester analysis in barley (Hordeum vulgare L.) across environments20073729233BorghiB.PerenzinM.NashR. J.Combining ability estimates in bread wheat and performances of 100 F1 hybrids produced using a chemical hybridizing agent19894311116BorghiB.PerenzinM.Diallel analysis to predict heterosis and combining ability for grain yield, yield components and bread-making quality in bread wheat (Triticum aestivum L.)1994897-89759812-s2.0-0028190087LuckenK. A.The breeding and production of hybrid wheat, in USA genetic improvement in yield of wheat13CSSA Spec. Pub. Crop Science Society of America and American Society of Agronomy1986Madison, Wis, USA87107BetránF. J.BeckD.BänzigerM.EdmeadesG. O.Genetic analysis of inbred and hybrid grain yield under stress and nonstress environments in tropical maize20034338078172-s2.0-0038222586YadavA. K.MaanR. K.KumarS.KumarP.Variability, heritability and genetic advance for quantitative characters in hexaploid wheat (Triticum aestivum L.)201124054408