scholarly journals Genetic variability, correlation and path analysis of floral, yield and its component traits in CMS and restorer lines of rice (Oryza sativa L.)

2014 ◽  
Vol 43 (1) ◽  
pp. 45-52
Author(s):  
SS Bornare ◽  
SK Mittra ◽  
AK Mehta
Keyword(s):  
Path Analysis ◽  
Plant Height ◽  
Seed Weight ◽  
Oryza Sativa L ◽  
Anther Length ◽  
Component Traits ◽  
Additive Gene ◽  
High Heritability ◽  
Correlation And Path Analysis ◽  
Phenotypic And Genotypic Variability

The coefficients of phenotypic and genotypic variability were comparatively high for effective tillers/plant followed by grain yield/plant, plant height and angle of floret. High heritability accompanied with high genetic advance indicated predominance of additive gene action for the traits viz., 1,000 seed weight, plant height, anther breadth, anther length, effective tillers/plant and angle of floret opening. Selections can be effective on the basis of correlation and path analysis for characters like effective tillers/plant, spikelet density, angle of floret opening, duration of floret opening, panicle length, 1,000 seed weight and days to 50 per cent flowering. With respect to findings of the investigation, CMS lines viz., APMS 6A, IR 69622A, IR 62829A, IR 70369A and IR 68886A were identified as superior female lines with respect to floral, yield and its contributing traits whereas, among the restorer lines NPT-10, NPT-13-01, R-710 and Sugandh-3 were identified as putative lines. DOI: http://dx.doi.org/10.3329/bjb.v43i1.19745 Bangladesh J. Bot. 43(1): 45-52, 2014 (June)

scholarly journals Genetic Analysis of Some Genotypes of Indian Mustard (Brassica juncea L.) for Yield and Yield Attributing Traits

2021 ◽  
pp. 51-60
Author(s):  
A. M. Pradhan ◽  
M. Roy Choudhury ◽  
A. Sawarkar ◽  
S. Das
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Block Design ◽  
Indian Mustard ◽  
Correlation Study ◽  
Biotic And Abiotic Stress ◽  
Randomized Block Design ◽  
Additive Gene ◽  
Positive Direct

The current investigation was carried out to examine the selection criteria for yield improvement in selected genotypes of Indian mustard. Twenty-four genotypes of Indian mustard were evaluated for seed yield and yield attributing characters with randomized block design with three replications. The analysis of variance showed significant differences among all the 24 genotypes against all the characters. The phenotypic and genotypic coefficient of variation were higher for most of the traits like seed yield per plant, number of secondary branches per plant and number of siliquae per plant. High heritability coupled with high genetic advance in percent of mean was registered for number of siliquae per plant, number of primary and secondary branches per plant, plant height, 1000 seed weight, siliqua length per plant and seed yield per plant suggesting predominant role of additive gene action for expression of these traits. The correlation study revealed that seed yield per plant was positively and significantly correlated with number of primary and secondary branches per plant, number of siliquae per plant, siliqua length per plant and 1000 seed weight at both phenotypic and genotypic level. The traits namely, number of secondary branches per plant recorded as highest positive direct effect followed by number of seeds per siliqua, number of siliquae per plant and plant height. Therefore, they may be carried out further evaluation in multilocational trials, biotic and abiotic stress like environmental conditions to check their stability and adaptability.

scholarly journals GENETIC VARIATION AND SELECTION CRITERIA FOR SEED YIELD RELATED TRAITS IN RAPE SEED (Brassica napus L.)

2015 ◽  
Vol 26 (2) ◽  
pp. 15-22
Author(s):  
S. Parveen Parveen ◽  
M. H. Rashid Rashid ◽  
M. S. R. Bhuiyan
Keyword(s):  
Coefficient Of Variation ◽  
Seed Weight ◽  
Positive Association ◽  
Negative Association ◽  
Genetic Advance ◽  
Rape Seed ◽  
Significant Positive Association ◽  
Days To Maturity ◽  
Additive Gene ◽  
High Heritability

The field experiment was conducted to estimate the genetic variability and correlation between yield contributing traits using 15 rape seed genotypes. The results indicated that the phenotypic variance for all the characters was considerably higher than the genotypic variance denoting little influence of environmental factors on their expression. Characters like 1000-seed weight (12.39, 14.10), days to 50% flowering (18.36, 18.77) and days to maturity (4.63, 5.06) showed low genotypic and phenotypic coefficient of variation. Moderate genotypic and phenotypic coefficient of variation was observed in number of primary branches per plant (20.22, 22.16), length of siliqua (20.84, 20.97), number of seeds per siliqua (30.90, 33.06), number of siliquae per plant (49.34, 49.81) and yield per plant (34.36, 39.98) and high genotypic (67.00) and phenotypic coefficient of variation (68.57) was observed for number of secondary branches per plant. Plant height (85.98%, 30.89), 1000 seed weight (77.14%, 22.41), days to 50% flowering (95.66%, 20.35) and days to maturity (83.85%, 7.82) showed high heritability with low genetic advance which indicated the possibility of non-additive gene action. Number of primary branches per plant (83.22%, 37.99, 636.02), length of siliqua (98.83%, 42.68, 1084.42), number of seeds per siliqua (87.40%, 59.52, 424.22), number of siliqua per plant (98.15%, 100.71, 178.83) and yield per plant (73.87%, 60.84, 4539.97) showed high heritability with high genetic advance and high genetic advance in percentage of mean revealed the possibility of predominance of additive gene effects. Number of primary branches per plant had showed highly significant positive association with number of secondary branches per plant (rg=0.597, rp= 0.537) and yield per plant (rg=0.43). Days to 50% flowering showed significant positive association with seeds per siliqua (rg=0.492; rp=0.436), 1000 seed weight (rg=0.486; rp=0.472) and yield per plant (rg=0.438; rp=0.379). Length of siliqua manifested highly significant positive association with siliqua per plant (rg=0.571; rp=0.514) and significant negative association with yield per plant (-0.471) at genotypic level. Siliqua per plant had highly significant negative association at both genotypic and phenotypic level with yield per plant (-0.697; -0.525) but 1000 seed weight had highly significant positive association with yield per plant both genotypic and phenotypic level (0.893; 0.814). The results of the path analysis revealed that 1000 seed weight (0.766) had the maximum direct effect and the maximum negative direct effect was observed in seeds per siliqua (0.305). In summary, the results suggested that there were some yield related traits such as 1000 seed weight and days to 50% flowering could be selected and used in breeding program for increasing the grain yield of rapeseed.

scholarly journals Genetic Variability, Character Association and Path Analysis in Boro Rice (Oryza sativa L.) Germplasm from Bangladesh

2019 ◽  
Vol 22 (1) ◽  
pp. 35-43
Author(s):  
MZ Islam ◽  
T Chakrabarty ◽  
N Akter ◽  
ESMH Rashid ◽  
M Khalequzzaman ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Oryza Sativa L ◽  
Block Design ◽  
Crop Improvement ◽  
Leaf Length ◽  
Component Traits ◽  
High Heritability ◽  
Positive Significant Correlation ◽  
Boro Rice

The success of varietal development programmme largely depends on the nature and magnitude of genetic variability, heritability and characters association of the crop. The objective of the present study was to estimate the extent of genetic variability and relation between yield and related characters of rice. Forty Boro rice germplasm were evaluated in a randomised complete block design with three replications. Analysis of variance indicated significant differences among the genotypes for 14 quantitative characters. The presence of slightly higher phenotypic coefficient of variation than genotypic coefficient of variation indicated the negligible influence of environment on the expression of yield and its component traits. Leaf length, days to flowering, days to maturity and 1000 grain weight showed highly positive significant correlation present with yield hill-1. High heritability had been observed for yield contributing traits during the study, suggested that these traits would respond to selection owing to their high genetic variability and transmissibility. Therefore, a thorough understanding of the inheritance of traits, their heritability and relationship with other important characteristics is important for the choice of breeding and selection methods for crop improvement. Bangladesh Rice j. 2018, 22(1): 35-43

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 Heterosis and gene action in okra

2008 ◽  
Vol 32 (3) ◽  
pp. 421-432 ◽  
Author(s):  
Nandan Mehta ◽  
BS Asati ◽  
SR Mamidwar
Keyword(s):  
Plant Height ◽  
Seed Weight ◽  
Gene Action ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Additive Gene Action ◽  
Fruit Length ◽  
Additive Gene ◽  
100 Seed Weight ◽  
Number Of Seeds

Forty two hybrids generated by crossing three testers with fourteen lines were studied along with parents for studying heterosis and gene action for days to first flowering, days to 50 percent flowering, fruit weight, fruit length, plant height, number of seeds per fruit, 100-seed weight and fruit yield per plant during rainy season and summer season of 2002-03 at Department of Horticulture, Indira Gandhi Agricultural University, Raipur, Chhattisgarh, India. The most heterotic combinations were VRO-6 x Parbhani Kranti, VRO-4 x Parbhani Kranti, Daftari-1 x Arka Abhaya and Kaveri Selection x Ankur Abhaya for fruit yield per ptant. The sca variances for days to fruit flower, days to 50 percent flowering, fruit weight, fruit length, plant height, number of seeds per fruit and 100-seed weight were higher than so gca variance so there is a preponderance of non-additive gene action. The gca variances was greater than sca variances for fruit yield per plant indicating preponderance of additive gene action for this trait. Overall, the results discussed above are quite indicative of the fact that hybrid okra has great potentialities of maximizing fruit yield in Chhattisgarh plains.DOI: http://dx.doi.org/10.3329/bjar.v32i3.544Bangladesh J. Agril. Res. 32(3) : 421-432, September 2007

Genetic variability, correlation and path analysis of yield and its component traits in barley

2016 ◽  
Vol 1 (02) ◽  
pp. 194-200
Author(s):  
Pooran Chand ◽  
Akash Singh ◽  
S. K. Singh
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Wide Spectrum ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Hordeum Vulgare L ◽  
High Heritability ◽  
Correlation And Path Analysis ◽  
Number Of Seeds

Estimates of genetic parameters for ten genotypes of barley (Hordeum vulgare L.) revealed significant variability for all the traits under study, indicated wide spectrum of variability among the genotypes. The estimates of genotypic and phenotypic coefficient of variation were high for plant height, number of seeds per ear and seed yield per plant. High heritability coupled with high genetic advance was observed for plant height, number of seeds per ear and seed yield per plant. Improvement in yield can be made by selecting these yield contributed traits having high heritability coupled with high genetic advance. Genotypic correlations were of higher magnitude as compare to their corresponding phenotypic correlation in most of the character combination, indicating the existence of strong influenced of inherent association for the various characters. Seed yield per plant exhibited significant stable and positive correlation with number of tillers per plant and 100 weight at genotypic and phenotypic level. Thus, it can be inferred that selection based on any one of these characters either alone or in combination, will result in identifying high yielding strains. Path coefficient analysis of genotypic and phenotypic level exhibited high positive and direct effect of number of tillers per plant, number of ear per plant, number of spikelet per ear, length of ear and 100 seed weight on seed yield per plant. Thus any selection based on these characters will enhance performance and improvement seed yield in barley.

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