Combining ability analysis for yield and contributing traits in short duration rice (Oryza sativa L.)

2020 ◽  
Vol 57 (4) ◽  
pp. 271-276
Author(s):  
Vineeta Singh ◽  
DK Dwivedi ◽  
NA Khan ◽  
RL Verma ◽  
Manish Kumar ◽  
...  
Keyword(s):  
Short Duration ◽  
Yield Components ◽  
Gene Action ◽  
Oryza Sativa L ◽  
Genetic Parameter ◽  
Breeding Value ◽  
Parental Genotype ◽  
Additive Gene Action ◽  
Gene Effects ◽  
Additive Gene

The breeding value is an important genetic parameter determines utility of lines/genotypes to be used as parent in breeding program. This study was aimed at dissecting the breeding values (combining abilities) in 8 short duration rice lines for yield and 15 attributing traits. Altogether, 28 F1s developed under half-diallel fashion along with eight parents were evaluated. The study revealed importance of both additive and non-additive gene effects in governing yield and yield components with preponderance of non-additive gene action for most of the yield components. Additive gene action was found important for 1000-grain weight. The parental genotype (NUD3) and (NDR 359) were found to be good general combiners. The hybrids namely NDR359/Sarjoo-52, NDR359/NUD2, NDR359/NDRK5088, NDR359/NDR1, NDR359/Nagina22, NDR359/NUD3, NDR359/CSR10, Sarjoo52/NDRK5088, Sarjoo52 X NDR 1, NUD 2/NDR1, NUD 2/NUD3, NDRK5088/Nagina22, NDRK5088/NUD3, NDRK5088/CSR10, NUD 3/Nagina 22, Nagina 22/NUD3, NUD3/CSR 10 have shown significant favourable sca effect for yield and different yield components.

scholarly journals The Effects of Combining Ability for Yield Traits in Rice (Oryza sativa L.) under Sodic Soil

2020 ◽  
pp. 34-44
Author(s):  
Durgesh Kumar Shukla ◽  
S. N. Singh ◽  
S. C. Gaur ◽  
Anil Kumar
Keyword(s):  
Combining Ability ◽  
Gene Action ◽  
Oryza Sativa L ◽  
Hybrid Vigour ◽  
Yield Traits ◽  
Additive Gene Action ◽  
Early Maturity ◽  
Additive Gene ◽  
Rice Genotypes ◽  
Positive Effect

Information on combining ability is derived from data on twelve yield and yield contributing characters in fifteen male and three female parents utilised in line x tester fashion to estimate combining ability of rice genotypes under coastal saline condition. Forty Five hybrids generated from crossing three lines with fifteen testers were studied along with their parents for combining ability and gene action involved in the expression of characters in rice. The gca and sca effects were significant for all the characters. The magnitude of sca variance was higher than the gca variance for all the characters revealed the presence of predominance of non-additive gene action for all the characters under study. Halchal (-12.29) was found to be good general combiners for days to 50% flowering and early maturity, Halchal (-13.39). However, IR-24 (1.88) was good general combiners with significant positive effect for tallness. Magic (-12.05) good general combiners for dwarfness and Shriram 434 (1.57) was good general combiners for test weight however, Moti was best general combiner with gca estimates of 7.07 for harvest index and Kuber (3.48) was the good general combiners for yield/hill. Cross combinations RHR 27 x IR 24 (4.04) was significant and positive effect for yield/hill, performance for ear bearing tillers per plant were RHR 27 x IR 24 (1.88). In general, the crosses showing significant and desirable combining ability effects were associated with better per se performance for the respective traits. These hybrids could be utilized in heterosis breeding to exploit hybrid vigour.

scholarly journals Evaluating Genetic Parameters and Combining Ability of Starch Viscosity Parameters in Rice Cultivars (Oryza sativa L.)

2019 ◽  
Vol 7 (4) ◽  
pp. 665
Author(s):  
Alireza Haghighi Hasanalideh ◽  
Mehrzad Allahgholipour ◽  
Ezatollah Farshadfar
Keyword(s):  
Combining Ability ◽  
Gene Action ◽  
Oryza Sativa L ◽  
Block Design ◽  
Breeding Methods ◽  
Narrow Sense ◽  
Narrow Sense Heritability ◽  
Gene Effects ◽  
Diallel Mating Design ◽  
Additive Gene

This study was undertaken to assess the combining ability of 6 rice varieties, for viscosity parameters and determining gene action controlling Rapid Visco Analyser (RVA) characters. F2 progenies derived from a 6×6 half diallel mating design with their parents were grown in a randomized complete block design with three replications at the research farm of Rice Research Institute of Iran (RRII) in 2015. The diallel analysis by Griffing`s method indicated the involvement of additive and non-additive gene actions controlling RVA traits. For traits PV and FV RI18447-2 and IR50 were the best combiners for increasing and decreasing, respectively. Deylamani and IR50 were the best combiners for increasing and decreasing BV, respectively. Beside, due to more portion of non-additive gene action in controlling trait SV, The Gilaneh × RI18430-46, and Deylamani × RI18430-46 crosses were the best for increasing and decreasing SV, respectively. The high estimates of broad sense heritability and narrow sense heritability for BV and FV, indicated the importance of additive effects in expression of these traits. Therefore, selection base breeding methods will be useful to improve these traits and selection in the early generations could be done to fix the favourable genes. Low estimate of narrow sense heritability for SV revealed that non-additive gene effects play important role in controlling setback viscosity. So, hybrid base breeding methods will be useful to improve this trait.

scholarly journals Assessment of Genetic Variability for Agro-Morphological Important Traits in Aman Rice (Oryza Sativa L.)

2015 ◽  
Vol 3 (1) ◽  
pp. 73-79
Author(s):  
Golam Sarwar ◽  
Md. Sarowar Hossain ◽  
Md.Harun -Ur- Rashid ◽  
Shahanaz Parveen
Keyword(s):  
Oryza Sativa ◽  
Genetic Parameters ◽  
Gene Action ◽  
Oryza Sativa L ◽  
Genetic Advance ◽  
Panicle Length ◽  
Additive Gene Action ◽  
Days To Maturity ◽  
Additive Gene ◽  
High Heritability

The present study was conducted in the experimental farm, Sher-e-Bangla Agricultural University (SAU), Dhaka during July 2013-December2013. The analysis of variance revealed significant deviation for all the characters studied and indicated the existence of variation among thegenotypes. The PCV values were slightly higher than the respective GCV values for all the characters except unfilled grains per panicleindicating that the characters were less influenced by the environment. Total tillers per plant, effective tillers per plant, filled grains per panicle,unfilled grains per panicle and yield per plant showed high heritability coupled with high genetic advance percentage of mean which indicatedthe preponderance of additive gene action and such characters could be improved through selection. High heritability along with low geneticadvance as percentage of mean was found for plant height, days to 50% flowering, panicle length, days to maturity and thousand grains weightwhich indicated the non additive gene action for expression of these characters. Considering the genetic parameters and other agronomicperformances, the genotypes Special from AL-29, AL-36, PP-4B(i), AL-17(iii)B, AL-17(iii), AL-17(ii)A, Special from-129, Special from17(iv), AL-44(i), AL-17, Special from AL-36(D), PP-48, IR-25B, Special from AL-33, IR-25B (Tall), P-5B (ii) might be considered betterparents for future hybridization programme.DOI: http://dx.doi.org/10.3126/ijasbt.v3i1.11896    Int J Appl Sci Biotechnol, Vol. 3(1): 73-79 

scholarly journals Combining Ability Analysis of Blast Disease Resistance and Agronomic Traits in Finger Millet [Eleusine coracana (L.) Gaertn]

2016 ◽  
Vol 8 (11) ◽  
pp. 138 ◽  
Author(s):  
Lawrence Owere ◽  
Pangirayi Tongoona ◽  
John Derera ◽  
Nelson Wanyera
Keyword(s):  
Disease Resistance ◽  
Combining Ability ◽  
Finger Millet ◽  
Gene Action ◽  
Agronomic Traits ◽  
The Other ◽  
Blast Disease ◽  
Additive Gene Action ◽  
Gene Effects ◽  
Additive Gene

<p>Blast disease is the most important biotic constraint to finger millet production. Therefore disease resistant varieties are required. However, there is limited information on combining ability for resistance and indeed other agronomic traits of the germplasm in Uganda. This study was carried out to estimate the combining ability and gene effects controlling blast disease resistance and selected agronomic traits in finger millet. Thirty six crosses were generated from a 9 × 9 half diallel mating design. The seed from the 36 F<sub>1</sub> crosses were advanced by selfing and the F<sub>2</sub> families and their parents were evaluated in three replications. General combining ability (GCA) for head blast resistance and the other agronomic traits were all highly significant (p ≤ 0.01), whereas specific combining ability (SCA) was highly significant for all traits except grain yield and grain mass head<sup>-1</sup>. On partitioning the mean sum of squares, the GCA values ranged from 31.65% to 53.05% for head blast incidence and severity respectively, and 36.18% to 77.22% for the other agronomic traits measured. Additive gene effects were found to be predominant for head blast severity, days to 50% flowering, grain yield, number of productive tillers plant<sup>-1</sup>, grain mass head<sup>-1</sup>, plant height and panicle length. Non-additive gene action was predominant for number of fingers head<sup>-1</sup>, finger width and panicle width. The parents which contributed towards high yield were <em>Seremi 2</em>, <em>Achaki</em>, <em>Otunduru</em>, <em>Bulo</em> and <em>Amumwari</em>. Generally, highly significant additive gene action implied that progress would be made through selection whereas non-additive gene action could slow selection progress and indicated selection in the later generations.</p>

scholarly journals Combining ability analysis for grain yield and its attributes in Rice (Oryza sativa L.)

2014 ◽  
Vol 12 (1) ◽  
pp. 1-8
Author(s):  
BP Mallikarjuna ◽  
N Shivakumar ◽  
J Devendrappa ◽  
VD Sheela ◽  
G Bharamappa ◽  
...  
Keyword(s):  
Oryza Sativa ◽  
Grain Yield ◽  
Combining Ability ◽  
Gene Action ◽  
Oryza Sativa L ◽  
Breeding Strategy ◽  
Rice Breeding ◽  
Additive Gene Action ◽  
Combining Ability Analysis ◽  
Additive Gene

Combining ability on grain yield and its components from line × tester analysis of thirty rice hybrids (Oryza sativa L.) produced by crossing three newly developed CMS lines and ten testers of local origin were studied. The analysis revealed higher SCA variance than GCA variance for all the characters except plant height indicating the prevalence of non-additive gene action. The line KCMS 45A and testers MSN 36 and KMR 3 were the good general combiners for yield and its major contributing characters. MSN 99 was the only good general combiner among the male parents for earliness and dwarfness. The hybrids KCMS 46A × MSN 75, KCMS 44A × KMR 4 and KCMS 45A × KMR 3 were identified as potential hybrids for yield contributing characters based on SCA effects which could be exploited in future rice breeding programme by adopting heterosis breeding strategy. The contribution of testers towards the total variance was found higher than lines and line x tester interaction suggesting predominant of testers influence for these characters. DOI: http://dx.doi.org/10.3329/sja.v12i1.21107 SAARC J. Agri., 12(1): 1-8 (2014)

scholarly journals Behavior of genetic (co)variance components in populations simulated from non-additive genetic models of dominance and overdominance

2010 ◽  
Vol 39 (9) ◽  
pp. 1952-1960
Author(s):  
Elizângela Emídio Cunha ◽  
Ricardo Frederico Euclydes ◽  
Paulo Sávio Lopes ◽  
Robledo de Almeida Torres ◽  
Paulo Luiz Souza Carneiro
Keyword(s):  
Genetic Variability ◽  
Variance Components ◽  
Gene Action ◽  
Phenotypic Selection ◽  
Genetic Models ◽  
Additive Gene Action ◽  
Small Magnitude ◽  
Gene Effects ◽  
Genetic Variances ◽  
Additive Gene

The aim of this work was to investigate the short-term behavior of the genetic variability of quantitative traits simulated from models with additive and non-additive gene action in control and phenotypic selection populations. Both traits, one with low (h² = 0.10) and the other with high (h² = 0.60) heritability, were controlled by 600 biallelic loci. From a standard genome, it was obtained six genetic models which included the following: only the additive gene effects; complete and positive dominance for 25, 50, 75 and 100% of the loci; and positive overdominance for 50% of the loci. In the models with dominance deviation, the additive allelic effects were also included for 100% of the loci. Genetic variability was quantified from generation to generation using the genetic variance components. In the absence of selection, genotypic and additive genetic variances were higher. In the models with non-additive gene action, a small magnitude covariance component raised between the additive and dominance genetic effects whose correlation tended to be positive on the control population and negative under selection. Dominance variance increased as the number of loci with dominance deviation or the value of the deviation increased, implying on the increase in genotypic and additive genetic variances among the successive models.

scholarly journals Gene action and combining ability estimates of newly developed CMS based heterotic rice hybrids (Oryza sativa L.)

2017 ◽  
Vol 9 (3) ◽  
pp. 1557-1565
Author(s):  
R. Madhuri ◽  
N. Shivakumar ◽  
K. G. Bindhu ◽  
H. C. Lohithaswa ◽  
R. Pavan
Keyword(s):  
Grain Yield ◽  
Combining Ability ◽  
Hybrid Rice ◽  
Gene Action ◽  
Oryza Sativa L ◽  
Relative Magnitude ◽  
Additive Gene Action ◽  
Ability Estimates ◽  
Additive Gene ◽  
Level Of Significance

An insight knowledge nature and relative magnitude of gene actions involved and combining ability is useful for a breeder to assess nicking ability in self-pollinated crops. In this connection, an attempt was made to esti- mate the gene action and combining ability of 70 newly developed CMS based heterotic rice hybrids developed from ten newly developed CMS lines and seven testers were evaluated for grain yield and its components at Hybrid rice scheme, ZARS, V. C. Farm, Mandya. Among the lines, CMS 2 had significant gca effects at 1% level of significance in desired direction for four traits viz., panicle weight, pollen fertility, spikelet fertility and number of spikelets per pan- icle. Out of seven testers, KMR 3 found to be good general combiner for five traits viz., days to 50 per cent flower- ing, plant height, number of tillers per plant, number of panicles per plant and grain L/B ratio. Among the 70 hybrids, CMS1 × KMR3 was good specific combiner for grain yield per plant and grain L/B ratio. It further revealed that SCA variances were higher than the GCA variances for all the characters which indicated preponderance of non-additive gene action. Hence, CMS 2 and KMR 3 are identified as promising lines which can be used in further breeding pro- gramme.

scholarly journals Estimates of combining ability and standard heterosis for grain yield and various agromorphological traits in rice (Oryza sativa L.)

2017 ◽  
Vol 9 (1) ◽  
pp. 526-532
Author(s):  
Gaurav Kamboj ◽  
Pradeep Kumar ◽  
Devi Singh
Keyword(s):  
Grain Yield ◽  
Combining Ability ◽  
Gene Action ◽  
Oryza Sativa L ◽  
Breeding Method ◽  
Additive Gene Action ◽  
Component Traits ◽  
Additive Gene ◽  
Standard Heterosis ◽  
Half Diallel

A study was conducted for estimating combining ability and standard heterosis for grain yield and various agromorphological traits involving 10 parents and their 45 F1s (half diallel) during 2012-13 and 2013-14. The results of present investigation revealed that additive gene action played a predominant role in the inheritance of most of the traits under study. On the basis of general combining ability (GCA) effects and specific combining ability (SCA) effects, three parents (Vallabh Basmati 21, Pusa Basmati 1, CSR 13) and three crosses (Vallabh Basmati 21 x Pusa 1121, Pusa 1121 x CSR 13 and Pusa Basmati 1 x CSR 13) were found good general and specific combiners. The best combinations mostly involved good x good and good x poor parental GCA effects suggesting that there is addi-tive x additive and additive x dominance type of gene action for yield and other component traits. The cross showing additive gene action can be improved by pedigree breeding and selection can be postponed to later generations. The most appropriate breeding method for the exploitation of non additive gene action will be heterosis breeding. The six best cross combinations (Vallabh Basmati 21 x CSR 30, CSR 30 x CSR 13, Vallabh Basmati 21 x CSR 13, CSR 30 x Pusa basmati 1, Pusa basmati 1 x CSR 13 and Vallabh Basmati 21 x Pusa basmati 1) had significant standard heterosis for grain yield and other component traits. The crosses which showed significant standard heter-osis is highly suitable for commercial exploitation of heterosis in rice crop.

Combining ability analysis in mungbean [Vigna radiata(L.) Wilczek]

2017 ◽  
Author(s):  
Anamika Nath ◽  
S. R. Maloo ◽  
Baudh Bharti ◽  
R. B. Dubey ◽  
Rajani Verma
Keyword(s):  
Seed Yield ◽  
Combining Ability ◽  
Gene Action ◽  
General Combining Ability ◽  
Specific Combining Ability ◽  
Mean Square ◽  
Additive Gene Action ◽  
Gene Effects ◽  
Combining Ability Analysis ◽  
Additive Gene

A diallel method was employed in which eight genotypically diverse lines of mungbean were crossed among themselves in all possible combinations excluding reciprocals. The mean square due to general combining ability (GCA) and specific combining ability (SCA) were significant for all the characters except mean square due to (SCA) for clusters per plant and seed yield per plant indicating importance of both additive as well as non-additive gene action. The estimates of variances due to specific combining ability were higher than general combining ability for all the traits except days to 50 % flowering, primary branches per plant, clusters per plant and seed yield per plant pointed out to be the preponderance of non-additive gene effects in the expression of these characters. Whereas predictability ratios were greater than the value of 0.5 for days to 50 % flowering, primary branches per plant, clusters per plant and seed yield per plant indicating the predominance of additive gene action for these characters. However, predictability ratio exhibited less than 0.5 values for rest of the characters indicating the predominance of non- additive gene action. The good general combiners for seed yield per plant were BM-4, PDM-139, ML-131, and IPM 99-125. The best specific cross combinations wereRMG-344 x RMG-1045, RMG-1035 x RMG-1045 and BM-4 x PDM-139. showed the highest positive significant SCA effect for seed yield per plant. These cross combinations could be utilized for further use in breeding programme for improvement in yield of mungbean.

scholarly journals Genetic analysis of physiological indicators of drought tolerance in bread wheat using diallel technique

Genetika ◽  
2015 ◽  
Vol 47 (1) ◽  
pp. 107-118 ◽  
Author(s):  
Ezatollah Farshadfar ◽  
Reza Amiri
Keyword(s):  
Drought Tolerance ◽  
Bread Wheat ◽  
Analysis Of Variance ◽  
Combining Ability ◽  
Gene Action ◽  
Block Design ◽  
Additive Gene Action ◽  
Gene Effects ◽  
Chl A ◽  
Additive Gene

In order to study genetic architecture of physiological criteria of drought tolerance in wheat using different diallel techniques, an experiment was conducted on six bread wheat genotypes as parents and their 15 hybrids in a randomized complete block design with three replicates under rainfed conditions at the Research Farm of the Campus of Agriculture and Natural Resources, Razi University, Kermanshah, Iran during 2010- 2011 cropping season. The results of analysis of variance showed significant differences between the genotypes for relative water content (RWC), relative chlorophyll content (RCC), chlorophyll a (Chl a), chlorophyll b (Chl b), total chlorophyll (Chl T) and proline concentration (PC). RWC, Chl T and PC exhibited significant differences for general combining ability, indicating the involvement of additive gene action in their inheritance. Moreover, as specific combining ability was not significant for all studied traits, hence these traits are predominantly controlled by additive gene action. Parent number one was the best general combiner for improvement of RWC, RCC and Chl b, while the best general combiner for improvement of Chl a, Chl T and PC was parent number five. Also, the best specific combination for improvement of RWC, RCC, Chl a, Chl b, Chl T and PC were the crosses 2?4, 1?2, 3?6, 1?6, 1?6 and 1?4, respectively indicating that parents of these crosses are genetically varied. Hayman and Morley-Jones analysis of variance revealed that the inheritance of RWC, Chl a, Chl b, and Chl T was mainly controlled by additive gene effects, while PC was controlled by both additive as well as dominance type of gene action.

Sign in / Sign up

Export Citation Format

Share Document