ABSTRACT
This study was aimed to testing 25 genotypes (5 parents + 10 diallel + 10 reciprocal crosses) using full Diallel mating design in winter season 2021-2022 for F2 generation of common wheat, in two locations. The first was in Qlyasan Agricultural Research Station, College of Agricultural Engineering Sciences; University of Sulaimani located (Lat 35° 34'; N, Long 45° 21'; E, 765 MASL), the second was in Koya Agricultural Station-Ministry of Agricultural (Lat 36° 04'; N, Long 44° 37'; E, 582 MASL). The results of the study confirmed that the mean squares of genotypes was highly significant for all characters in both locations, the same for the mean squares for gca with the exception of grain weight plant-1 in Qlyasan location which was only significant. The mean square for sca was highly significant for most characters at Qlyasan location, while at Koya location it was significant only for grain weight plant-1. The mean square for rca was significant for spike weight plant-1 at Qlyasan location and 1000-grain weight at Koya location and not significant for the other characters. The Diallel cross 1×4 at Qlyasan location and the reciprocal cross 2×1 at Koya location showed the best performance for grain weight plant-1 recording 58.083 and 40.941g plant-1 respectively. The magnitude of σ2sca was more than σ2gca for all characters in both locations indicating the importance of non-additive gene effects in controlling these characters. Heritability in broad sense for Diallel crosses due to grain weight plant-1 was found to be high in both locations, while for reciprocal crosses was low, and it was low for narrow sense for all crosses.
Keywords: Genetic Analysis, Gene Action, Heritability, Heterosis and Common Wheat.
(ProQuest: ... denotes formulae omitted.)
INTRODUCTION
Wheat is regarded as one of the major food crops in the world, accounting for about seventeen percent of all cultivated land (10, 12, 30) with 214 million hectares planted in 2018 and 34.254 tons of productivity per hectare. (Triticum aestivum L.) is an essential cereal crop globally, serving as a staple food source for most of the world's population, and it is an important part of these countries' diets, allowing them to attain food security (4, 6, 13, 21). FAO (17) arrived at the 6331 thousand dunums of wheat cultivated in Iraq for the winter of 2019, to a production capability of roughly 4343 thousand tons for the same year (14). A major factor in agricultural productivity keeping up with global population increase has been the creative thinking and hard work of agricultural experts. By 2050, the current 7.7 billion people on the planet are predicted to increase to 9.8 billion (36). We need to boost productivity and wheat production to fulfill our population's increasing demand (15 ,19, 20, 24). Finding acceptable parents with good combining ability for yield contributing qualities is the most crucial phase in any breeding program since it allows for the creation of genetic variability and the collection of data regarding the genetic architecture of component traits (8, 9, 11). The choice of suitable parents for evolving better hybrids and variations are a source of concern for the plant breeders (33). All breeding program's major objective is to produce high-yielding varieties with a good performance of genotypes in different environments (5, 21). Diallel Additionally, analysis offers a special chance to test some lines in all possible combinations (31). Diallel cross technique is a good tool for the identification of hybrid combinations that have the potential to produce maximum improvement and identify superior lines among the descendants of the early generations of segregation. The most used biometric technique for identifying parental lines based on their propensity to combine into hybrid combinations is the combination ability analysis of (18). With this method, the resulting total genetic variations is partitioned into the variance of general combining ability, as a measure of additive gene action and specific combining ability, as a measure of non-additive gene action (1, 2). The diallel cross designs are frequently used in plant breeding research to obtain information about genetic properties of parental linesb or estimates of general combining ability (gca), specific combining ability (sca), and heritability (16). Combining ability analysis helps in the identification of parents with high gca and parental combinations with high sca. Based on combining ability analysis of different characters, higher sca values refer to dominance gene effects and higher gca effects indicate a greater role of additive gene effects controlling the characters (35). The purpose of this study was to determine the general and particular combining abilities for yield and yield-contributing features in several wheat varieties genotypes to choose the best parents and crosses for breeding program and this study is to estimate the variability and ability to combine in the F2 generation arising from a set of dialect pairings for a few quantitative wheat crop characteristics.
MATERIALS AND METHODS
The present investigation was completed out in two distinct areas inside the Kurdistan Region of Iraq. Located at (Lat 35° 34'; N, Long 45° 21'; E, 765 MASL) was the first Qlyasan Agricultural Research Station, College of Agricultural Engineering Sciences, University of Sulaimani; the second was at Koya Agricultural Station, Ministry of Agricultural (Lat 36° 04'; N, Long 44° 37'; E, 582 MASL). Randomized Complete Block Design (RCBD) with three replicates was used to sow the seeds of twenty F2s with their parents on December 16, 2021, at the Qlyasan location, and on December 30, 2021, at the Koya location. One 2-meter-long row with 40 centimeters separating rows and 15 centimeters inside each treatment was used.
Statistical Analysis
For each character, a variety of statistical analyses were performed. Three repetitions of a randomized complete block design (RCBD) were used (7).
Combining Ability Analysis
The generic linear model for the analysis was used to estimate the (gca) and (sca), utilizing the formula of (34).
...
Where: Yijk: observed value of the experimental unit
µ: population means,
gi: general combining ability (gca) effect for the i the parent
gj: general combining ability (gca) for the j the parent
Sij: special combining ability (sca) for the diallel crosses involving parent i
and j
Rij: special combining ability (rca) for the reciprocal crosses involving
parent i and j
rk: replication (block) impact
eijk: experimental error impact
Estimate of Heterosis
It was estimated as the percentage deviation of the F1s hybrid from the mid-parental value. The percent increase (+) or
F1 cross's decline (-) over the mid-parent was calculated to determined hetrotic values for every character (3).
...
Where:
F'1 = mean of hybrid,
M.P= Mid Parental value.
Where:
...
P Parent 1.
P2: Parent 2
Estimation of Heritability
In both broad and specific senses, heritability was estimated depending on the variance of general and specific combining abilities, and regarding the variation of experimental error according to (34). And as follows:
...
Where:
... heritability in broad sense
... heritability in narrow sense
... the variance of general combining ability
... the variance of specific combining ability
... the variance of experimental error i.e. environmental variance
... additive genetic variance,
... non-additive (dominance and epitasis) genetic variance,
... total genetic variance, and
... phenotypic variance (genetic and environmental variance).
Estimation of the mean degree of dominance (ā): The following estimate was made for the mean degree of dominance for all traits:
...
If ā = 0 indicate no dominance
If ā < 1 indicate partial dominance
If ā =1 indicate complete dominance
If ā >1 indicate over dominance
Estimation of Reciprocal Effects: Reciprocal
...
... the average of diallel hybrid
... the average of reciprocal hybrid
Mean comparisons conducted by using Least Significant Difference (LSD) test at 5 % and 1 % significant levels according to the following equation:
...
Data Collection
Data were obtained for both locations after five plants that were considered competitors (instead of border plants) were tagged.
1- Spikes number plant-1
2- Spikes weight plant-1 (g)
3- Grains weight spike-1 (g)
4- 1000-grain weight (g)=
5- Grain weight plant-1 (g)
The character mean squares that were examined for Qlyasan location present in table (3). For every character, the genotype mean squares were extremely significant, while for gca it was highly significant for all characters except grain weight/plant which was only considerable. Except 1000-grain weight, which was significant, and grain weight/spike, which was not significant, the mean squares for sca were extremely significant for every character. All characters' mean squares for rca were not important, except for spike weight/plant, which was the only one that had significance. For every attribute, there were highly significant differences between the genotypes. indicating relatively high magnitude of genetic variability in these genotypes (11). The mean performance of hybrids was greater than parents for all characters, The results obtained were fairly consistent with the data that were published by (32). Significant differences among genotypes for the studied characters reported by (22).
The mean performance of genotypes for studied characters presents in table (4). The maximum quantity of spikes/plant recorded by number of spikes/plant reached 10.533 spikes while the maximum weight of spikes/plant, grain weight/spike, and grain weight/plant were 79.050, 2.587, and 58.083 g respect recorded by the cross 1x4, while the highest weight of 1000 grains was 44.067 showed by the cross 2x1. Minimum spikes number/plant, grain weight/spike and weight/spike were 2.903 spikes and 1.082 g obtained from the cross 4×3. The lowest weight of spikes /plant was 47.247 g obtained from the cross 2x5. The cross 5x2 gave minimum weight of 1000 grains reached 25.227 g, while the lowest grains weight/spike was 39.347 g showed by the cross 4x1.
The estimate of heterosis values as the F2s deviation from mid-parental values for diallel and respect crosses of examined the characters at Qlyasan location is illustrated in table (5). Maximum positive heterosis for a number of spikes/plant was 36.054% recorded by the cross 2x3, However, the cross 1x5 revealed the highest positive heterosis for spikes weight/plant at 18.495%. Maximum positive heterosis for the characters grains weight /spike and 1000 grains weight were 45.358 and 32.812% respect obtain from the cross 4x5. The highest degree of positive heterosis for grains weight /plant was 23.823% exhibited by the cross 5x1. Both positive and negative heterosis values were present for every character. The cross Klal×Kauz at the first location recorded the maximum positive heterosis value for grain yield/plant at 7.425%, while the cross Hasad×Iba-95 at the second location recorded the highest positive heterosis for some components for weight of grains/spike at 71.402%. Every character had displayed a significant degree of heterosis over middle parents (14,15).
Data in table (6) illustrate the reciprocal effect values of studied characters in Qlyasan location. The 5x4 reciprocal cross produced the greatest favorable impact of spikes number/plant reached 53.947%, while the cross 5x2 showed the highest positive effect for spike weight/plant, and grain weight/plant with 40.955 and 10.090% respectively, and in addition gave highest possible negative effect for 1000-grains weight reached -26.007%. The highest positive effect of grains weight /spike was 8.707% recorded by the cross 4x2. The cross 4x2 exhibited the highest positive effect for 1000-grains weight reached 27.361%. Maximum negative effect of reciprocals for the characters spike number/plant, spike weight/plant, grains weight/spike, and grains weight/plant were -36.975, -19.300, -34.767, and -7.207% recorded by the crosses 3x1, 5x1, 3x2 and 4x1 respectively.
The parental estimates of the gca impact for studied characters in Qlyasan location present in Table (7). Parent 1 was the most effective general combiner for the characteristics weight and number of spikes per plant, and 1000- grains weight recording 1.065, 3.098, and 3.042 respectively. The parents 2 and 3 were the best general combiner for the characters grains weight/spike and grains weight/plant, recording 0.263 and 1.795 respectively. Regarding the gca impacts of parents, all parents demonstrated a positive sca effect for one or more yield components under examination in both the F1 and F2 generations, but none of the parents was shown to be a good general combiner for all 11 features. (33).
The estimated of sca effect of diallel crosses in Qlyasan location illustrated in table (8). The crosses 2x3, 1x3, and 1x5 were the best specific combiners for the characters spike quantity plant-1, spike weight plant-1 and grains weight plant-1 recording 1.829, 6.382, and 4.926 respectively, while the diallel cross 4x5 was discovered to be the greatest specialized combiner to the characters grains weight spike- 1 and 1000 grains weight recording 3.360 and 7.259 respectively. The best seven crosses out of the 78 in this study were chosen based on significant and desired SCA effects for increased grain yield as well as for other yield components in both the F1 and F2 generations. (33).
The estimation of sca effects of the reciprocal crosses for studied characters in Qlyasan location illustrated in table (9). The reciprocal crosses 3x1, 5x1, 3x2, 5x2, and 4x1 were the most effective particular combiner regarding the characters spikes quantity /plant, spike weight/plant, grains weight/spike, 1000-grains weight, and grains weight/plant, recordings 1.467, 7.628, 0.381, 4.433 and 1.528 respectively.
The estimates of some genetic parameters as a result of the features under study in Qlyasan location present in Table (10). The magnitude of σ2 sca was more than σ2 gca for all characters, this causes it to value the ratio σ2 gca / σ2 sca less than one and ā be multiples for every character, showing the role that non-additive gene effects play in regulating these traits' inheritance. While for the reciprocal crosses, it was found that the average degree of dominance was less than one for the characters spikes number/plant, grains weight/ spike, and 1000-grains weight. All characters have strong heritability in the wide meaning of diallel crosses, but poor heritability in the narrow sense. regarding to reciprocal crosses, heritability in broad sense was high for spike number/plant only and it was low for the other traits, while in narrow sense it was high for the same character only. For the majority of traits, heritability was low to moderate in the narrow meaning and moderate to high in the broad sense (19, 20). The ratios of GCA to SCA, and average degree of dominance were smaller and greater than unity, respectively, which revealed that non-additive gene effects governed all the traits. These results were in good agreement with those published by (19, 20, 23).
The mean squares of data analysis for studied characters in Koya location present in table (11). The mean squares of genotypes and gca were highly significant for every character, while for sca it was significant for only grains weight/plant and not significant for the other characters. Only the 1000-grain weight showed a significant mean square for rca; the other characters did not show any significant mean square. Except for spike weight/plant, which was the sole relevant character, the mean squares for rca were not statistically significantt for any character. That mean the performance of hybrids were greater than parents for all characters, these results were in a good agreement with those reported by (32, 27, 28). Significant differences among genotypes for the studied characters were reported by (25, 26). Significant variations were discovered between the genotypes. for all traits, indicating a relatively high magnitude of genetic variability in these genotypes (8, 9, 11).
The mean performance of the crosses and their parents for studied characters in Koya location presents in table (12). The highest values for spike number/plant and spike weight/plant is illustrated by the cross 2x5, recording 15.533 spike and 110.627 g respectively. While the cross 2x1 showed the highest weight of 1000 grains and grain weight/plant, recording 45.520 and 40.941g respectively. Maximum grains weight/spike was 2.713 g recorded by the cross 3x2. Parent 3 gave minimum number of spikes/plant, recording 6.533 spikes, while the cross 1x4 recorded minimum weight of spikes/plant, which was 45.360 g. The lowest weight of grains/spike and grain weight/plant were 1.236 and 17.273 g as evidenced by the cross parent 1. The lowest weight of 1000 grains was 26.213 g showed at the cross 5 x1.
The estimates of heterosis for diallel and reciprocal crosses in Koya location present in table (13). Regarding to the diallel crosses, Maximum positive heterosis for spikes number and weight/plant were 46.565 and 59.814% recorded by the crosses 1x2 and 2x4 respectively, while maximum heterosis values for grains weight/spike and 1000-grains weight were 21.680 and 29.242% recorded by the cross 4x5. Maximum positive heterosis for grains weight/plant was 72.963% recorded beside the cross 3x5. Concerning to the reciprocal crosses the highest positive heterosis for spikes number/plant was 42.105% recorded by the cross 4x2, while for spike weight/plant and grains weight/spike, it was 49.909 and 30.166% showed by the cross 3x2. The cross 5x4 gave maximum positive heterosis for 1000 -grains weight reached 10.503%, while the cross 2x1 showed maximum positive heterosis for grains weight/plant reached 97.873%. Both positive and negative heterosis values were present for every character. At the first location, the maximum positive heterosis value for grain yield/plant was 7.425% for the Klal×Kauz cross. while the cross Hasad×Iba-95 in the second place recorded the highest positive heterosis for some components for weight of grains/spike at 71.402%. Every character had displayed a significant degree of heterosis over middle parents (19, 20).
The reciprocal effect values of reciprocal crosses for studied characters in Koya location present in table (14). A maximum positive effect of spikes number/plant and maximum negative effect of grains weight/plant were 65.625 and -23.680% respectively recorded by the cross 5x3, while maximum positive effect of spikes weight/plant was 10.827% recorded by the cross 3x2. The highest positive effect of grains weight /spike and maximum negative effect of spikes number/plant were 32.580 and -33.758% respectively shown by the cross 3x1. The highest positive effect of 1000 grains weight and grains weight/plant were 2.893 and 64.069% showed opposite the cross 2x1. Maximum negative effect of spikes weight/plant and grains weight/spike were - 31.407 and -34.371% recorded by the cross 4x3. The highest negative reciprocal effect of 1000 grains weight was -34.115% recorded by the cross 5x1.
The estimates of general combining ability of parents for studied characters in Koya location present in table (15). Parent 5 was the best general combiner for spikes number/plant and grains weight/plant recording 1.845 and 3.365 respectively, while parent 2 was the most effective general combiner, recording 9.359, 0.243, and 3.981 for spike weight/plant, grain weight/plant, and grain weight/spike, respectively. Regarding the GCA effects of parents, all parents had a positive GCA effect for one or more yield components under examination in both the F1 and F2 generations, but none of the parents was shown to be a good general combiner for all 11 features. (33).
The estimates of specific combining ability effect of the diallel crosses for studied characters in Koya location present in table (16). The cross 3x4 was the best specific combiner for spikes number/plant recording 2.075, while the cross 2x4 was the best specific combiner for spikes weight/plant recording 8.671. The crosses 1x5, 4x5, and 1x2 were the best specific combiner for the characters grains weight/spike, 1000-grains weight, and grains weight/plant recording 0.321, 4.398, and 5.938 respectively. The best seven crosses out of the 78 in this study were chosen based on significant and desired SCA effects for increased grain yield as well as for another yield component in the F1 and F2 generations (33).
The estimates of specific combining abilities effect of reciprocal crosses for studied characters in Koya location present in table (17). The reciprocal crosses 2x1, 5x2, 4x3, 5x1, and 5x3 were the best combiner for the studied characters, recording 1.967, 16.068, 0.335, 6.787, and 4.798 respectively.
The estimates of some genetic parameter for studied characters in Koya location present in table (18). As shown in this table the magnitude of σ2 SCA was larger than σ2 gca for all characters, indicating that the ratio of σ2 gca / σ2 sca was less than one for all characters, and For diallel crosses, the average degree of dominance was greater than one, whereas for reciprocal crosses, the average degree of dominance was greater than one for the weight/plant of only grains. For diallel crosses, it was found that all characters had high heritability in the broad sense, while all characters had low heritability in the narrow sense. Similarly, for reciprocal crosses, only the 1000-grain weight had high heritability in the broad sense, while the other characters had low heritability and the spike number/plant and grains weight/spike had moderate heritability in the narrow sense. For the majority of traits, heritability was low to moderate in the narrow meaning and moderate to high in the broad sense (19, 20). The values of broad sense heritability ranged between 44.44% and 93.27% for grain weight per spike (5). All the attributes were governed by nonadditive gene effects, as seen by the ratios of GCA to SCA and the average degree of dominance, which were both greater than unity. These results were in a good agreement with those reported by (19, 20, 23). The SCA mean squares were larger than the GCA means squares, and the GCA/SCA ratio was smaller than unity, indicating a stronger significance of non-additive gene effects over additive gene effects in the expression of these wheat features (29). The presents of highly significant mean squares for genotypes due to every studied traits affirmed the essentiality of genetic analysis, which separated the mean squares of genotypes to gca, sca, and rca components. Significant positive and negative heterosis was showed up as a result of the diallel and reciprocal crossings between parents. The reciprocal effect was appearing for all characters due to the distinctions between reciprocal and diallel crosses. Parent Kauz and Ipa-95 were the good general combiner for grain weight plant at both locations respectively, while the crosses Aras×Ipa-95 and Aras×Hasad were the best specific combiner for diallel crosses due to grain weight plant at both locations respectively, but the reciprocal crosses Ipa- 95×Aras and Hasad×Aras were the good specific combiner for reciprocal crosses since this character. The variance component due to sca was greater than the variance component for almost all characters in both locations, while the ratio of σ2 gca / σ2 sca value was less than unity for all characters at both locations, confirming the importance of non-additive gene effect in controlling the inheritance of these characters. Heritability in narrow sense was found to be low for studied characters as a result of controlling non-additive variance over additive variance.
Received:22/11/2023, Accepted:17/3/2024
REFERENCES
1. Afiah, S. A. N. 2002. Genetic parameters and graphical analysis of F2 wheat diallel cross under saline stress. Egypt. J. Genet. Cytol. 31:267-2
2. Afiah, S. A. N. and I H.I. Darwish 2002. Combining ability and heterosis in relation to salinity and drought stresses for yield and its attributes of bread wheat. J. Agric. Sci. Mansoura Univ., 27(12):8033
3. AGB301 2004. 'Principles and Methods of Plant Breeding (Under Graduate Programmed) ', Genetics Tamil Nadu Agricultural Univ. COIMBATORE-641003.PP.1-141.
4. Al-Hassan, M. F. H. and J. W. Mahmood. 2023. The contribution of the main stem and branches of the approved cultivar km5180 to the growth characteristics by the effect of the number of seeds per square meter. Iraqi Journal of Agricultural Sciences,54(6):1794- 1801. https://doi.org/10.36103/ijas.v54i6.1878
5. Al-Hassan, M. F. H., H. A. Baqir and J. W. Mahmood. 2024. The role of chlorophyll spraying according to the evolutionary standard zadoks in the growth characteristics of two cultivars of bread wheat. Iraqi Journal of Agricultural Sciences,55(1):470-478. https://doi.org/10.36103/w1877d96
6. Al-Falahi, M. A. H., Kh. M. Dawod. and F. A. Omer 2021. Yield stability evaluation for bread wheat genotypes under environmental variations. Iraqi Journal of Agricultural Sciences, 52(6):1449-1460. https://doi.org/10.36103/ijas.v52i6.1486
7. Al-Mohammad, F. and Al-Yonis, M. A. 2000. 'Agricultural Experimentation Design and Analysis,' Baghdad University, Ministry of Higher Education and scientific Research part 1 and 2, pp 374 and 444. (In Arabic).
8. Baktash; F. Y. and M. A. Naes. 2016. Evaluation bread wheat pure lines under effect of different seeding rates for grain yield and it,s component. Iraqi Journal of Agricultural Sciences, 47(5):1132-1140. https://doi.org/10.36103/ijas.v47i5.488
9. Baktash; F. Y. and M. A. Naes. 2016. Evaluation bread wheat pure lines under effect of different seeding rates. Iraqi Journal of Agricultural Sciences, 47(5):1141-1150. https://doi.org/10.36103/ijas.v47i5.489
10. Baktash; F. Y. and A.M. Dhahi. 2018. Effect of depletion percentage on yield, yield components and water use eficiency for selected genotypes of bread wheat. Iraqi Journal of Agricultural Sciences, 49(3):327- 335. https://doi.org/10.36103/ijas.v49i3.101
11. Dhahi A.M. and F. Y. Baktash. 2018. Evaluation performance of bread wheat pure lines to growth traits and proline. Iraqi Journal of Agricultural Sciences, 49(1):1-10. https://doi.org/10.36103/ijas.v49i1.198
12. Dhahi A.M. and F. Y. Baktash. 2018. Impact of moisture depletion percentages on some growth characters and yield for selected genotypes of bread wheat. Iraqi Journal of Agricultural Sciences, 49(2):160-170. https://doi.org/10.36103/ijas.v49i2.160
13. Bo, L., D. Liu, Q. Li, X. Mao, A. Li, J. Wang, X. Chang, and R. Jing 2016. Overexpression of wheat gene TAMOR improves root system architecture and grain yield in Oryza sativa. J. of Experimental Botany, 67(14): 4155-4167.
14. CSO 2019. Agricultural Statistics Directorate / Central Statistical Organization / Iraq Production of wheat and barley 2018.
15. Ekhlaque, A. , M. Akhtar, S. Badoni, and J.P. Jaiswal 2017. Combining ability studies for seed yield related attributes and quality parameters in bread wheat (Triticum aestivum L.). J. Genet. Genomics Plant Breed.,1, 21-27.
16. EL-Maghraby, M.A.; M. E. Moussa; N.S. Hana and H. A. Agrama 2005. Combining ability under drought stress relative to SSR diversity in common wheat.Euphytica. 141: 301-308.
17. FAO, 2020. Annual Agriculture Statistical food and agricultural organization of United Nations FAO, Roma .Italy. http://www.fao.org/faostat/en/#home Int. J. Appl. Sci. Biotechnol. 5(2): 188-193.
18. Griffing, B. 1956. Concept of general and specific combining ability in relation to diallel crossing system. Aust. J. Biol.Sci. 9: 4
19. Hama-Amin, T. N. and S.I. Towfiq, 2019. Estimation of some genetic parameters using line×tester analysis of common wheat (Triticum aestivum L.). Applied Ecology and Environmental Research, 17(4): 9735-9752.
20. Hama-Amin, T.N. and S.I. Towfiq, 2019. Inheritance of grain yield and its related characters for 5×5 diallel cross of F1 bread wheat. Applied Ecology and Environmental Research, 17(2): 3013-3032.
21. Hussain, M.A., M. AB. Sadeeq and S. Y. Hassan, 2022. Stability analysis and estimation some genetic parameters for grain yield and its components for some durum wheat genotypes. Iraqi Journal of Agricultural Sciences, 53(1):84-90. https://doi.org/10.36103/ijas.v53i1.1511
22. Iqbal, M.; A. Navabi; D. F. Salmon; R. C. Yang; B. M. Murdoch; S. S. Moore and D. Spaner, 2007. Genetic analysis of flowering and maturity time in high latitude spring wheat .Euphytica 154: 207-218
23. K. Din1, N.U. Khan, S. Gul1, S.U. Khan, I. Tahir, Z. Bibi, S. Ali, S.A. Khan, N. Ali, I.A. Khalil and O. Mumtaz, 2020. Combining ability effects and inheritance of maturity and yield associated traits in F2 populations of wheat. The Journal of Animal & Plant Sciences, 30(4): Page: 988-1003. ISSN (print): 1018-7081; ISSN (online): 2309-8694.
24. Lupton, F. G.H., 2014. Wheat Breeding: Its Scientific Basis, Chapter 11, Water Relations. Springer Dordrecht. pp. 313-325.
25. Mahmood, J. W. and M. F. H. AL-hassan. 2023. Effect of hierarchy of the production of tillers in wheat (Triticum aestivum L.) cultivar (KM5180) under the influence of planting dates. Res. Crop. 24 (2): 236-240.
26. Mahmood, J. W. and M. F. H. Al-Hassan . 2017. Regulation of tillering in wheat and its relationship with grain yield. 1. Contribution percentages of the main stem and primary tillering the number of spikes and grain yield. Iraqi Journal of Agricultural Sciences. 48(2): 528-539. https://doi.org/10.36103/ijas.v48i2.420
27. Mahmood, J. W. and M. F. H. Al-Hassan. 2017. Regulation of tillering in wheat and its relationship with grain yield. 2. Contribution percentages of the main stem and primary tillers in the number of spikelets, the number of grains and the weight of 1000 grains. Iraqi Journal of Agricultural Sciences. 48(2): 540- 550. https://doi.org/10.36103/ijas.v48i2.421
28. Mahmood J. W. and M. F. H. Al-Hassan. 2023. The Role of the Hierarchy of the Production Tillers in wheat Cultivar km 5180 under the effect of sowing spaces. IOP Conference Series: Earth and Environmental Science, 1259(1), 012112. 10.1088/1755- 1315/1259/1/012112
29. Nataša Ljubièiæ , Sofija Petroviæ , Marko Kostiæ , Miodrag Dimitrijeviæ , Nikola Hristov, Ankica Kondiæ -Špika, Radivoje Jevtiæ , 2017. Diallel analysis of some important grain yield traits in bread wheat crosses. Turk J., Field Crops. 22(1), 1-7.
30. Ojha, R.; Sarkar, A.; Aryal, A.; Rahul, K.C.; Titwari, S.; Poudel, M.; Rajpant, K. and Shrestha, J. 2018. Correlation and path coefficient analysis of wheat (Triticum aestivum L.) genotypes. Fmg. & Mngmt., 3(2): 136-141.
31. Omar A. Al.,Jassem M. A. and A. A. El- Hosary, 2021. Gene Action and Heterosis for growth and yield in bread wheat (Triticum aestivum l.). 5 th International Conference on Biotechnology Applications in Agriculture (ICBAA), Benha University, 8 April 2021, Egypt (Conference Online). Plant Biotechnology, 259 - 266.
32. S.V. Singh, R.K. Yadav, and S.K. Singh, 2017. Genetic variability, heritability, genetic advance and correlation studies for yield components and quality parameters in wheat (Triticum aestivum L.). Progressive Research - An International Journal Society for Scientific Development. Volume 12 (1): 110-114, in Agriculture and Technology.Print ISSN : 0973-6417, Online ISSN : 2454-6003.
33. Satnam, S. N., Pradeep K., SR Vishwakarma and Vikas G., 2018. Diallel analysis of some grain yield traits in wheat. Wheat and Barley Research. 10(1): 45-51.
34. Singh, R. K. and Chaudhary, B. D. 1985. 'Biometrical methods in quantitative genetic analysis, ' Kalyani publisher, New-Delhi revised edition, India.
35. Sprague. T. L. and A. Tatum 1942. General versus specific combining ability in single crosses of corn. J. AMSocAgron. 43:923-932
36. UNPD, 2019. United Nations Population Division, World Meters, World Population.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2024. This work is published under https://creativecommons.org/licenses/by-nc/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
This study was aimed to testing 25 genotypes (5 parents + 10 diallel + 10 reciprocal crosses) using full Diallel mating design in winter season 2021-2022 for F2 generation of common wheat, in two locations. The first was in Qlyasan Agricultural Research Station, College of Agricultural Engineering Sciences; University of Sulaimani located (Lat 35° 34'; N, Long 45° 21'; E, 765 MASL), the second was in Koya Agricultural Station-Ministry of Agricultural (Lat 36° 04'; N, Long 44° 37'; E, 582 MASL). The results of the study confirmed that the mean squares of genotypes was highly significant for all characters in both locations, the same for the mean squares for gca with the exception of grain weight plant-1 in Qlyasan location which was only significant. The mean square for sca was highly significant for most characters at Qlyasan location, while at Koya location it was significant only for grain weight plant-1. The mean square for rca was significant for spike weight plant-1 at Qlyasan location and 1000-grain weight at Koya location and not significant for the other characters. The Diallel cross 1×4 at Qlyasan location and the reciprocal cross 2×1 at Koya location showed the best performance for grain weight plant-1 recording 58.083 and 40.941g plant-1 respectively. The magnitude of σ2sca was more than σ2gca for all characters in both locations indicating the importance of non-additive gene effects in controlling these characters. Heritability in broad sense for Diallel crosses due to grain weight plant-1 was found to be high in both locations, while for reciprocal crosses was low, and it was low for narrow sense for all crosses.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer