scholarly journals Estimation of Gene Action and Interaction for Some Quantitative Characters in Rice (Oryza sativa L.) by Generation Mean Analysis

2021 ◽  
Vol 12 (6) ◽  
pp. 737-744
Author(s):  
Amrita Kumari ◽  
◽  
B. K. Senapati ◽  
Anita Roy Aich ◽  
Aditya Pratap Singh ◽  
...  
Keyword(s):  
Gene Action ◽  
Oryza Sativa L ◽  
Basic Mechanism ◽  
Generation Mean Analysis ◽  
Dominance Model ◽  
Rice Varieties ◽  
Gene Effects ◽  
Quantitative Characters ◽  
Days To Maturity ◽  
Main Gene

The present investigation was conducted to understand the genetic action for controlling the inheritance of some quantitative characters. The experimental materials consisted of three rice varieties, i.e., Mahsuri, Bhutmuri, IR36 and F1, F2, and F3 populations of Mahsuri×Bhutmuri (Cross I) and IR36×Bhutmuri (Cross II). To conduct the generation mean analysis, the parents and their F1, F2, and F3 populations were evaluated during June to October month of Kharif 2016 and Kharif 2017. Generation mean analysis was done for eighteen quantitative characters following the five parameter model. The Analysis of Variance revealed significant differences among the five generations for all the characters studied. The results of the scaling tests and joint scaling test revealed that the Simple additive-dominance model was inadequate for days to 50% flowering, days to maturity, number of panicles plant-1, number of primary branches panicle-1, number of secondary branches panicle-1 in Cross I, while it was for plant height, number of tillers plant-1, number of panicles plant-1, number of grains panicle-1, number of filled grains panicle–1 and fertility % in Cross II. Hence, the present studies have revealed that epistasis as a basic mechanism that cannot be ignored. Thus, formulating breeding policies on only main gene effects i.e. additive and dominance could be misleading.

Genetic analysis of yield and quality traits through generation mean analysis in rice

2019 ◽  
Vol 56 (3) ◽  
pp. 256-262
Author(s):  
Ch Sreelakshmi ◽  
P Ramesh Babu
Keyword(s):  
Gene Action ◽  
Oryza Sativa L ◽  
Quality Traits ◽  
Generation Mean Analysis ◽  
Dominance Model ◽  
Gene Effects ◽  
Mean Values ◽  
Yield And Quality ◽  
Kernel Length ◽  
Almost All

The present investigation in rice (Oryza sativa L.) was undertaken to study the magnitude of gene action in two cross combinations for eleven yield and twelve quality traits deploying generation mean analysis following six parameter model for parents (P1 and P2), F1, F2, BC1 and BC2 generations during three crop seasons. The results of the scaling tests revealed that the additive-dominance model was inadequate for all of the characters evaluated in both the crosses suggested the existence of epistasis in the inheritance of these characters. Mean values of both the crosses revealed significant for most of the traits except effective bearing tillers per plant, SCMR, harvest index, kernel length and kernel L/B ratio in the cross BPT 5204 x IR 64. Major contribution of duplicate epistasis was revealed by the two crosses, for most of the characters. Few traits revealed complementary epistasis in both the crosses. The present study demonstrates the importance of additive, dominance and epistatic gene effects for the inheritance of almost all the yield as well as quality characters studied.

scholarly journals Assessment of Gene Action for Grain Micronutrient Content, Yield and Yield Contributing Traits in Rice (Oryza sativa L.)

2020 ◽  
pp. 56-63
Author(s):  
Ashutosh Kumar ◽  
Avinash Kumar ◽  
N. K. Singh ◽  
Rajesh Kumar ◽  
. Nilanjaya ◽  
...  
Keyword(s):  
Gene Action ◽  
Oryza Sativa L ◽  
Zinc Content ◽  
Dominance Model ◽  
Gene Effects ◽  
Gene Effect ◽  
Biotechnological Approach ◽  
Zn Content ◽  
H Gene ◽  
Iron And Zinc

Biofortification of food crops using conventional breeding or biotechnological approach is gaining momentum to alleviate micronutrient malnutrition.  Rice is a nice choice for biofortification of grain iron and zinc content as this is a cheap and chief staple food for millions of peoples world-wide particularly the poor. In present study, generation mean analysis was done to estimate the nature and magnitude of gene effects for grain iron and zinc content in rice cross Khusisoi-RI-Sareku × IR 91175-27-1-3-1-3.  Scaling test and Joint scaling test indicated the influence of epistasis on the expression of yield, its component traits and grain Fe and Zn content and inadequacy of additive-dominance model to explain the variation in different generations. Dominance [h] gene effect was of higher magnitude as compared to additive [d] gene effect for both grain iron and grain zinc content.  Additive × additive, additive × dominance and dominance × dominance component was significant for both grain Fe and Zn content, whereas dominance × dominance component was predominant for both grain Fe and Zn content. Dominance [h] gene effect and dominance × dominance interaction acted in opposite directions, indicating duplicate type of gene action controlling the expression of both grain Fe and grain Zn content which could be a bottleneck to exploit heterosis. Heterosis breeding and recombination breeding with postponement of selection till later generations, could be effective in improving both grain Fe and grain Zn content in rice.

scholarly journals GENE ACTION AND HERITABILITY ESTIMATES OF QUANTITATIVE CHARACTERS AMONG LINES DERIVED FROM VARIETAL CROSSES OF SOYBEAN

2017 ◽  
Vol 18 (1) ◽  
pp. 25 ◽  
Author(s):  
Lukman Hakim ◽  
Suyamto Suyamto
Keyword(s):  
Genetic Variability ◽  
Seed Size ◽  
Harvest Index ◽  
Gene Action ◽  
Gene Effects ◽  
Quantitative Characters ◽  
Days To Maturity ◽  
Additive Gene ◽  
Pod Number ◽  
Selection Of

<p>The knowledge of genetic action, heritability and genetic variability is useful and permits plant breeder to design efficient breeding strategies in soybean.  The objectives of this study were to determine gene action, genetic variability, heritability and genetic advance of quantitative characters that could be realized through selection of segregation progenies. The F1 population and F2 progenies of six crosses among five soybean varieties were evaluated at Muneng Experimental Station, East Java during the dry season of 2014.  The lines were planted in a randomized block design with four replications.  The seeds of each F1 and F2 progenies and parents were planted in four rows of 3 m long, 40 cm x 20 cm plant spacing, one plant per hill. The result showed that pod number per plant, seed yield, plant yield and harvest index were found to be predominantly controlled by additive gene effects.  Seed size was also controlled by additive gene effects, with small seed dominant to large seed size.  Plant height was found to be controlled by both additive and nonadditive gene effects.  Similarly, days to maturity was due mainly to additive and nonadditive gene effects, with earliness dominant to lateness.  Days to maturity had the highest heritability estimates of 49.3%, followed by seed size (47.0%), harvest index (45.8%), and pod number per plant (45.5%).  Therefore, they could be used in the selection of a high yielding soybean genotype in the F3 generation. </p>

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 GENE ACTION OF AGRONOMIC TRAITS IN RICE (Oryza sativa L.)

2007 ◽  
Vol 20 (2) ◽  
pp. 31-36
Author(s):  
P. S. Biswas ◽  
M. Enamul Haque
Keyword(s):  
Gene Action ◽  
Agronomic Traits ◽  
Oryza Sativa L ◽  
Dominant Gene ◽  
Recessive Gene ◽  
Diallel Cross ◽  
Thousand Grain Weight ◽  
Dominance Model ◽  
Partial Dominance ◽  
Days To Heading

Six parent diallel cross without reciprocal was studied to investigate the genetic behavior of different agronomic traits in rice. The analysis of Wr-Vr graph showed that panicle length, thousand grain weight and grain yield per plant did not follow the additive-dominance model indicating epistatic gene action responsible for the expression of these traits. All other traits under the study were conditioned by overdominance gene action except grains per panicle, which was controlled by partial dominance. The Yr? – (Vr + Wr)? graph revealed random distribution of dominant and recessive gene in expressing different traits in different parent, while correlation between parental mean and parental order of dominance indicated increasing effect of dominant gene for all the traits except days to heading and % spikelet sterility.DOI: http://dx.doi.org/10.3329/bjpbg.v20i2.17033

Genetic analysis of various quantitative traits ininter-varietal crosses of Vigna mungo

2016 ◽  
Author(s):  
Shayla Bindra ◽  
R. K. Mittal ◽  
V. K. Sood ◽  
H. K. Chaudhary
Keyword(s):  
Yield Components ◽  
Quantitative Traits ◽  
Gene Action ◽  
Duplicate Gene ◽  
Vigna Mungo ◽  
Dominance Model ◽  
Early Generation ◽  
Gene Effects ◽  
Complementary Gene ◽  
Complementary Gene Action

Gene effects for 13 characters in four crosses of Vigna mungo were studied by six parameter generation mean model to determine the potential for the improvement of yield components. Scaling tests revealed inadequacy of the additive-dominance model for all the traits indicating the presence of non-allelic interactions. Duplicate gene action was observed for six characters in KUG-216 x HPBU-111, five in KUG-216 x Palampur-93, two in IPU-05-13 x Palampur-93 and one in IPU-05-13 x HPBU-111 and complementary gene action for one character each in KUG-216 x Palampur-93 and IPU-05-13 x HPBU-111 cross. Selection in later generations for duplicate gene action and early generation selection involving intermatings in F2 f or complementary gene action should be adopted for harnessing desirable recombinants.

Genetic analysis for yield and yield attributes in greengram (Vigna radiata L. Wilczek)

2017 ◽  
Author(s):  
R. Narasimhulu ◽  
N. V. Naidu ◽  
K.H. P. Reddy
Keyword(s):  
Genetic Architecture ◽  
Gene Action ◽  
Additive Effects ◽  
Generation Mean Analysis ◽  
Gene Effects ◽  
Yield Attributes ◽  
Additive Type ◽  
Component Traits ◽  
Parental Mating ◽  
Duplicate Epistasis

Six basic generations viz., P1, P2, F1, F2, B1 and B2 of five selected crosses viz., LGG-460 × WGG-37, TM-96-2 × WGG-37, TM-96-2 × PM-112, MGG-295 × PM-110 and MGG-351 × PM-115 were studied to assess the nature and mode of gene action for yield and its component traits through generation mean analysis. In general, magnitude of dominance effects (h) has greater value than additive effects (d) for majority of the traits in all the crosses. All the traits are under the influence of duplicate epistasis besides additive type of gene effects for which bi-parental mating or inter-se mating may be adopted followed by pedigree method of selection to modify the genetic architecture of greengram for attaining higher yields with desirable properties.

scholarly journals Development of a Five-Parameter Model to Facilitate the Estimation of Additive, Dominance, and Epistatic Effects with a Mediating Using Bootstrapping in Advanced Generations of Wheat (Triticum aestivum L.)

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1325
Author(s):  
Ahmed E. A. Khalaf ◽  
Mohamed A. M. Eid ◽  
Kamal H. Ghallab ◽  
Sherif R. M. El-Areed ◽  
Ahmed A. M. Yassein ◽  
...  
Keyword(s):  
Gene Action ◽  
Mathematical Proof ◽  
Triticum Aestivum L ◽  
Algebraic Solution ◽  
Analysis Method ◽  
Dominance Model ◽  
Gene Effects ◽  
Local Varieties ◽  
Variable Generation ◽  
1000 Grain Weight

As a result of two crosses among three local varieties of wheat, five populations (P1, P2, F5, F6 and F7) were used as parents and grown during two successive seasons; 2016/2017 and 2017/2018. To estimate five types of gene action (e.g., mean effects, additive, dominance, additive × additive, and dominance × dominance), five formulas were developed from with algebraic solution, algebraic proof, and mathematical proof. Besides, to test adequate of a simple additive-dominance model, three formulas A, B, and C scaling test were developed. The path analysis method by PROCESS Macro, AMOS, and Bootstrapping was employed to assess the relationships between grain yield/plant (GYP) as the dependent variable and each one of the number of spikes (NS) and 1000-grain weight (TW) as the independent variables. The results show that there are eight validated equations used to estimate the scaling test (A, B and C) and five types of gene effects (m, a, D, I and L), respectively. Confidence interval using Bootstrapping results indicate that TW was played as the partial mediator between NS as an exogenous variable and GYP as an endogenous variable. Generation means analysis is a relatively simple and statistically reliable tool suitable for the fundamental estimation of different genetic influences.

scholarly journals Genetic analysis for anthocyanin and chlorophyll contents in rapeseed

2016 ◽  
Vol 46 (5) ◽  
pp. 790-795 ◽  
Author(s):  
Wendong Dai ◽  
Teerayoot Girdthai ◽  
Zesu Huang ◽  
Mariena Ketudat-Cairns ◽  
Rong Tang ◽  
...  
Keyword(s):  
Gene Action ◽  
Genetic Effect ◽  
Anthocyanin Content ◽  
Plant Breeder ◽  
Brassica Napus L ◽  
Morphological Marker ◽  
Gene Effects ◽  
Chlorophyll Contents ◽  
Main Gene ◽  
Positive Correlations

ABSTRACT: Rapeseed ( Brassica napus L.) with purple-red leaf is a valuable resource for plant breeder. It was utilized in breeding program as a morphological marker, and the source of resistance gene to biotic or abiotic stress due to its anthocyanin content (AC). However, the inheritance of AC and the correlation with chlorophyll content (CC) in rapeseed leaf are still unknown. This study aimed to investigate the gene action and heritability of AC and CC in a 10-Zi006 × 10-4438 rapeseed cross using generation mean analysis. The results indicated that AC and CC were controlled by main gene effect and non-allelic interactions. The AC was mainly controlled by genetic effect. However, the genetic effect and non-genetic effect were both important for CC. In addition, the total fixable gene effects was higher than unfixable gene effects for AC, but opposite results was found for CC. Both negative and positive correlations between AC and CC were obtained in different generations.

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