scholarly journals Character association and genetic gain of nine agronomic traits of F1 populations in onion (Allium cepa L.)

2021 ◽  
Vol 27 ◽  
Author(s):  
A. C. Deb ◽  
R. Ara
Keyword(s):  
Genetic Gain ◽  
Agronomic Traits ◽  
Selection Index ◽  
Diallel Cross ◽  
Direct Selection ◽  
Path Coefficient ◽  
Primary Yield ◽  
Selection For ◽  
Positive Direct ◽  
Bulb Yield

F1 populations of half diallel cross were considered for this investigation. Phenotypic component of variation (s2P) was higher than genotypic (s2G), interaction ((s2I) and within error (s2w) components of variation. Trait bulb weight showed the highest values for s2P, s2G, s2I and s2w. The noticeable amount of phenotypic, genotypic, interaction and within error covariation was found in the combination of BW×BY, possibly indicating wide scope of selection for this pair of characters. Genotypic correlations were higher than the respective phenotypic correlations. This situation was also marked in the path coefficient analysis. Bulb yield/plot showed highly significant and positive correlation coefficient with other characters both at phenotypic and genotypic levels. When all the nine characters were included in an index, it exhibited the highest genetic gain as percentage. When a combination of two or more characters was studied in a function, the efficacy was higher than that of direct selection for bulb yield. The combination of five, six, seven or eight characters showed higher percentage of expected gain. Due to significantly correlated with BY and having high positive direct effect at phenotypic level characters viz., LL, BW, PH and NLs is considered as primary yield components. Again combinations of these four characters gave the commendable expected genetic gain of 330.7290% may be considered as important selection index for this material.

scholarly journals Character Association and Path Analysis for Yield Components and Biochemical Traits in Maize (Zea mays L.) Genotypes

2021 ◽  
Author(s):  
Prabhat Kumar Singh ◽  
B. Sushma ◽  
Nidhi Kumari
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Standard Procedure ◽  
Grain Weight ◽  
Direct Selection ◽  
Path Coefficient ◽  
Biochemical Traits ◽  
Internodal Length ◽  
Selection For ◽  
Positive Direct

Background: Grain yield is a complex character so direct selection for yield as such can be misleading. Keeping in view, the present study aimed to assess the path coefficient analysis with correlation coefficient technique to establish the direct and indirect relationship between the yield and its component. Methods: The present investigation carried out during kharif 2019 at Centurion University of Technology and Management, Odisha in randomized complete block design with 3 replication involving 20 maize genotypes. Data were collected from five randomly selected plnts on 20 agromorphic and biochemical traits. All the biochemical analysis estimated from leaf sample following standard procedure. Result: The traits shelled grain weight, cob diameter, number of grains per cob and anthesis silking interval were found to possess significant association in disirable direction with five ear weight at both genotypic and phenotypic levels. None of the biochemical trairts establishing significant positive association with yield. Highest positive direct effect on 5 ear weight was noticed by shelled grain weight (1.108) followed by phenols (0.115), internodal length (0.106) and days to 50 percent anthesis (0.102) indicating that the selection for these characters were likely to bring about an overall improvement in grain yield directly.

scholarly journals Character association and path coefficient analysis for identification of yield enhancing characters in snake gourd (Trichosanthes anguina L.)

2016 ◽  
Vol 3 (2) ◽  
pp. 57-65
Author(s):  
S Islam ◽  
R Hasan ◽  
A Bashar ◽  
MK Hossain ◽  
AKM M Huque ◽  
...  
Keyword(s):  
Correlation Coefficients ◽  
Direct Selection ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Fresh Weight ◽  
Fruit Length ◽  
Selection For ◽  
Effect On Yield ◽  
Positive Direct ◽  
Positive Effect

Correlations and path coefficient were studied in seven snake gourd genotypes namely Turag, Surma, Vorosa, Manghosito, Jhumlong, Green nitch and Monosha for yield and eleven yield contributing characters. The correlation coefficients were determined to find out the interrelationship among the characters studied. The correlation studies revealed that, yield/plant had positive and highly significant correlation both in phenotypic and genotypic level with fresh weight/fruit, fruit girth, fruits/plant, plant height and fruit length which indicated that yield could be increased by selecting these characters. Direct and indirect effects were measured using path coefficient analysis in order to obtain mechanisms of interrelationship between yield/plant and its components. The highest positive direct effect (0.9763) on yield/plant was found in fresh weight/fruit followed by fruits/plant (0.4179) and fruit length (0.2665). The characters showed direct positive effect on yield/plant indicated that direct selection for these traits might be effective for improving yield through selection in snake gourd.Jahangirnagar University J. Biol. Sci. 3(2): 57-65, 2014 (December)

scholarly journals Genotypic potentiality and selection index of ridge gourd (Luffa acutangula L.)

2020 ◽  
Vol 49 (4) ◽  
pp. 1169-1175
Author(s):  
Ayasha Ahmed ◽  
Jahangir Alam Tarafder ◽  
Mohammad Kamal Hoassain ◽  
Nazmul Alam
Keyword(s):  
Genetic Gain ◽  
Relative Efficiency ◽  
Significant Variation ◽  
Selection Index ◽  
Male Flower ◽  
Direct Selection ◽  
Flower Plant ◽  
Superior Genotypes ◽  
Selection For ◽  
Luffa Acutangula

Fifteen ridge gourd genotypes were investigated to select the superior genotypes. The overall analysis reveals that PCV was higher than GCV for all the traits. Significant variation was found among genotypes for the qualitative traits under divergence analysis. The selection index reveals that maximum genetic gain and relative efficiency over selection for yield was obtained for the index I123 based on yield/plant (g), No. of secondary branch, No. of male flower/plant characters. In the presented functions, selection index I1234 and I12345 showed highest relative efficiency over direct selection and genetic gain when all the characters were included to construct the selection index. On the basis of performance, the genotype-3023 was found to be most promising parent in order to develop a commercial ridge gourd variety.

Opportunities for genetic improvement of lamb survival

2010 ◽  
Vol 50 (12) ◽  
pp. 1017 ◽  
Author(s):  
F. D. Brien ◽  
M. L. Hebart ◽  
D. H. Smith ◽  
J. E. Hocking Edwards ◽  
J. C. Greeff ◽  
...  
Keyword(s):  
Rectal Temperature ◽  
Selection Index ◽  
Genetic Correlations ◽  
Direct Selection ◽  
Reproduction Rate ◽  
Crown Rump Length ◽  
Selection For ◽  
Lamb Survival ◽  
Net Reproduction ◽  
Birth Time

Data on lamb survival and associated traits involving records from 15 192 lambs, 6308 dams and 284 sires from the Sheep CRC’s Information Nucleus were studied. Lamb survival to 3 days of age and to weaning was 85 and 80%, respectively, and heritability (±s.e.) was 0.014 ± 0.010 and 0.010 ± 0.010, respectively. Of the 14 traits recorded at birth, time taken for the lamb to bleat, rectal temperature and crown–rump length had the highest genetic correlations with lamb survival to weaning (–0.43 ± 0.32, 0.56 ± 0.33 and –0.38 ± 0.36, respectively). Under selection for a multi-trait objective including net reproduction rate (but not lamb survival), survival was predicted to decline genetically by 0.25 lambs weaned per 100 lambs born.year, although this was reversed to a gain of 0.20 lambs weaned per 100 lambs born.year by including the trait in the breeding objective and using 50 half-sib and 50 progeny records per selection candidate. Accuracy of selection for lamb survival was improved to 0.735 with a selection index of lamb survival to weaning, lamb ease, birth coat score, time taken to bleat, rectal temperature and crown–rump length, with the addition of 50 half-sibs and 50 progeny records per candidate. Our results suggest that unless actively incorporated into breeding objectives, lamb survival may genetically decline; however, gains are possible with direct selection using half-sib and progeny records. The addition of indirect selection criteria for lamb survival can further improve accuracy, up to 93.4%, but requires further investigation.

Correlation and path analysis of morpho-physiological and yield traits in boro rice (Oryza sativa L.)

2015 ◽  
Vol 35 (4) ◽  
Author(s):  
Shantanu Das ◽  
Debojit Sarma
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Direct Selection ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Yield Traits ◽  
Biological Yield ◽  
Rice Genotypes ◽  
Correlation And Path Analysis ◽  
Positive Direct

Thirty rice genotypes of local and exotic origin were analyzed to ascertain the genotypic and phenotypic correlation among 21 morpho-physiological and yield traits and their direct/ indirect contribution to grain yield under <italic>boro</italic> season. The result revealed that grain yield per plant had significant positive correlation with biological yield (0.927**, 0.766**), harvest index (0.748**, 0.658**), days to first flowering (0.459*, 0.377*), panicle length (0.501**, 0.445*), grains per panicle (0.576**, 0.484**) and 1000 grain weight (0.573**, 0.460*) at both genotypic and phenotypic levels. Path coefficient analyses at both genotypic and phenotypic levels revealed high positive direct effect of biological yield (0.7181) and harvest index (0.6382) on grain yield per plant. Thus direct selection for grain yield per plant and indirect selection through these characters would be effective to improve yield in <italic>boro</italic> rice.

Identification of agronomic traits to enhance biomass and grain yield of chickpea under rainfed short-duration environment

2015 ◽  
Vol 38 (5) ◽  
Author(s):  
V. S. Hegde ◽  
J. Kumar
Keyword(s):  
Grain Yield ◽  
Short Duration ◽  
Agronomic Traits ◽  
Limiting Factor ◽  
Path Coefficient ◽  
Residual Soil ◽  
Peninsular India ◽  
Moisture Condition ◽  
Soil Moisture Condition ◽  
Positive Direct

Low biomass yield is considered to be a major limiting factor of chickpea productivity in semi-arid short duration environments of Peninsular India. Correlation and path coefficient analyses performed on grain yield and 14 other agronomic traits of 25 diverse chickpea genotypes to assess direct and indirect contribution of each trait to grain yield and formulate an effective selection criteria to improve biomass and grain yield of chickpea under residual soil moisture condition. Results have shown that biomass had the largest positive direct effect on grain yield and selection of tall types with more number of secondary branches/plant and seeds/plant and seeds of large size would be highly rewarding in simultaneously increasing biomass and grain yield of chickpea. JG 11, BGD 103, BGD 121 and BGD 72 are some of the high biomass and grain yield producing genotypes adapted to rainfed conditions of short duration environments.

scholarly journals Interrelationship and Cause - Effect Analysis for Yield and Yield Attributing Traits in Rice (Oryza sativa L.) Genotypes

2020 ◽  
pp. 511-518
Author(s):  
B. Soundharya ◽  
Ramya Rathod ◽  
Firdoz Shahana ◽  
Y. Swathi ◽  
P. Jalender Naik ◽  
...  
Keyword(s):  
Oryza Sativa L ◽  
Positive Association ◽  
Test Weight ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Effect Analysis ◽  
Rice Genotypes ◽  
Selection For ◽  
High Yielding Varieties ◽  
Positive Direct

The basic aim of plant breeders is to improve the yielding potential of existing varieties along with creation of new high yielding varieties. This experiment was carried out to study the association of yield and yield attributing traits along with path coefficient analysis among twenty rice genotypes. Analysis of variance revealed the existence of significant differences in genotypes for all the characters studied. Grain yield had positive significant association with ear bearing tillers/m2 (0.5395**/0.6264**), number of filled grains per panicle (0.5236**/0.5774**) and test weight (0.2575*/0.2560*) and days to 50 percent flowering (0.3294**/0.3648**), It indicates that these characters are important for yield improvement. Path coefficient analysis revealed maximum positive direct effect of number of filled grains per panicle (1.4128/1.8979), test weight(1.1812/1.5927), days to fifty percent flowering (0.2404/0.1669), ear bearing tillers (0.0159/0.1224) and panicle length(0.0710/0.0813). Selection for the traits with positive association and direct effects will be useful for the improvement in yield of rice through breeding programme.

scholarly journals Genetic Variability, Correlation and Path Coefficient Analysis in F2 Segregating Population in Tomato (Solanum lycopersicum L.)

2017 ◽  
Vol 104 (.1-.4) ◽  
Author(s):  
Gopinath P ◽  
◽  
Irene Vethamoni P
Keyword(s):  
Genetic Variability ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Direct Selection ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Solanum Lycopersicum L ◽  
F2 Population ◽  
Positive Direct ◽  
Pericarp Thickness

Genetic variability, heritability and genetic advance for fifteen yield contributing traits were studied in F2 population obtained from the cross of Arka Vikas × EC 519809. The study indicated that existence of considerable amount of genetic variability for all the characters studied. The characters viz., fruit yield per plant, number of fruits per plant, number of primary branches, total phenol and pericarp thickness exhibited higher values of genotypic and phenotypic coefficient of variation. Whereas, fruit yield per plant, individual fruit weight, pericarp thickness and number of primary branches per plant exhibited high estimates of heritability and genetic advance for yield per plant and average fruit weight. These characters can be effectively improved through selection. Correlation indicated that yield was significantly and positively associated with plant height, number of flowers per cluster, percent fruit set, fruit length, fruit diameter, individual fruit weight and number of fruits per plant. Number of fruits per cluster and number of fruits per plant showed the highest positive direct effect on fruit yield per plant. Direct selection may be executed considering these traits as the main selection criteria to reduce indirect effect of other characters during development of high yielding tomato variety.

scholarly journals Correlation and path-coefficient analysis in Ramnad Mundu chilli (Capsicum annuum L.) for yield and quality traits

2021 ◽  
Vol 16 (1) ◽  
pp. 1-6
Author(s):  
J. Phani Kumar ◽  
P. Paramaguru ◽  
T. Arumugam ◽  
N. Manikanda Boopathi ◽  
K. Venkatesan
Keyword(s):  
Capsicum Annuum ◽  
Seed Weight ◽  
Block Design ◽  
Crop Improvement ◽  
Fruit Yield ◽  
Direct Selection ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Capsicum Annuum L ◽  
Positive Direct

The present investigation was conducted to find the correlation and path-coefficient analysis for yield and yield contributing characters in Ramnad Mundu chilli (Capsicum annuum L.) during Kharif 2018-19. The experiment was conducted on Forty-seven Mundu chilli genotypes for 15 characters, which was laid out in Randomized Complete Block Design with two replications. From correlation study dry fruit yield per plant showed highly positive correlation with number of fruits per plant (0.971 G, 0.894 P), ripened fruit yield per plant (0.991 G, 0.949 P), number of seeds per fruits (0.383 G, 0.32 P), 1000 seed weight (0.369 G, 0.332 P), capsaicin % (0.302 G, 0.256 P) and number of primary branches per plant (0.267 G, 0.251 P) at both genotypic and phenotypic level. Path-coefficient analysis of different characters contributing towards the highest positive direct effect via number of fruits per plant (0.973), ripened fruit yield per plant (0.991), no. of seeds per fruit (0.383), 1000 seed weight (0.364), capsaicin % (0.302) and number of primary branches per plant (0.267). Hence, direct selection based on these characters would be effective in crop improvement through plant breeding in Mundu chilli.

scholarly journals Eight cycles of recurrent selection for resistance to angular leaf spot in common bean

2010 ◽  
Vol 10 (3) ◽  
pp. 232-237 ◽  
Author(s):  
Lúcio de Oliveira Arantes ◽  
Ângela de Fátima Barbosa Abreu ◽  
Magno Antonio Patto Ramalho
Keyword(s):  
Common Bean ◽  
Leaf Spot ◽  
Recurrent Selection ◽  
Diallel Cross ◽  
Angular Leaf Spot ◽  
Population Cycle ◽  
Direct Selection ◽  
Genetic Progress ◽  
Yield Gain ◽  
Selection For

The genetic progress (GP) was evaluated after eight cycles of recurrent selection for resistance to angular leaf spot in common bean and indirect gain for yield and grain type. The base population (Cycle-0) was obtained from the diallel cross of seven lines with carioca grain and ten resistance sources. To obtain Cycle I, the most resistant S0 plants of Cycle 0 were intercrossed. The same procedure was adopted in the subsequent cycles. GP for resistance to the pathogen was estimated by the overall average of the progenies of each cycle in comparison with control Carioca MG and for productivity in comparison to the controls Carioca MG and Pérola. Lines of the first six cycles were used for grain type. No GP was detected for resistance to angular leaf spot. However, the indirect yield gain was 2.3% and 2.5% in the selection for grain type, with values similar to those obtained by direct selection for these traits.

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