scholarly journals Trait Association and Path Coefficient Analysis for Yield Traits in Myanmar Sesame (Sesamum indicum L.) Germplasm

2019 ◽  
pp. 1-10
Author(s):  
Myint Aye ◽  
Nyo Mar Htwe
Keyword(s):  
Path Analysis ◽  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Block Design ◽  
Flowering Plant ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Yield Attributes ◽  
Positive Direct

The experiment was conducted in randomized complete block design with three replications during the dry season, 2014 at Yezin Agricultural University, Myanmar to determine the extent of genetic variability for important yield attributes and to determine interrelationship among the traits and their direct and indirect effects on yield of forty Myanmar sesame germplasm. All genotypes were phenotyped for ten agronomic traits. All basic statistical parameters and phenotypic correlation were generated using STAR v2.0.1 and PBTools v1.4. Genotypic correlation and path analysis between yield and yield components were evaluated by SPAR 2.0 and R software package. Wide variations were observed for all traits studied in all germplasm. Primary branches, capsules and seed yield per plant showed high genotypic and phenotypic variances, PCV and GCV estimates that are enough scope for selection. Progeny selection will be effective to improve plant height and number of capsules per plant indicating high heritability with high genetic advance. In both genotypic and phenotypic correlation analysis, main seed yield contributing traits in sesame production were days to first and 50% flowering, plant height, primary branches, capsules per plant and capsule length. According to path analysis, positive direct effect on seed yield was contributed by days to first flowering followed by 1000 seed weight, capsules per plant, no. of primary branches per plant and capsule length. Therefore, days to first flowering, 1000 seed weight, capsules per plant, primary branches and capsule length may be good selection criteria for further sesame breeding programs related to high yielding varieties.

Studies on Variability Parameter and Character Association of Lentil Germplasms in West Bengal Condition

2020 ◽  
Author(s):  
P. Bhattacharjee ◽  
S. Kundagrami ◽  
A. Bhattacharjee
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
West Bengal ◽  
Block Design ◽  
Crop Improvement ◽  
Flowering Plant ◽  
Positive Direct ◽  
100 Seed Weight

Background: Lentil is the major cultivated pulse crop in the state of West Bengal in terms of total area coverage under cultivation. Selection of high yielding and better quality genotype is the prime vital matter to increase productivity. Investigation and a better understanding of the variability existing in a population base of the crop are pivotal to crop improvement so that the plant breeders can exploit it. Methods: The current study has been carried out at the experimental farm of the University of Calcutta during 2016-2017 in a plot designed with the randomized block design. It was carried out to estimate the magnitude of genetic variability, heritability and genetic advance of fifty-four lentil germplasms. Result: Moderate to high heritability, GCV, PCV, GA and GA % of mean was obtained by days to1st flowering, days to 50% flowering, pods per plant and harvest index. The genotypic and phenotypic association of seed yield was significantly positive with traits like plant height, pods/plant, 100 seed weight and harvest index. Characters like days to 50% flowering, plant height, primary branches per plant, pods/plant, pod length, 100 seed weight and harvest index shows a positive direct effect on seed yield in path analysis suggesting select for such traits while exercising selection for seed yield per plant in lentil.

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 Inheritance of Some Quantitative Characters in Pigeonpeas (Cajanus cajan (L.) Mill sp.)

1969 ◽  
Vol 55 (1) ◽  
pp. 23-43
Author(s):  
Abad Morales Muñoz ◽  
Raúl Abrams
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Block Design ◽  
Flowering Plant ◽  
Frequency Distributions ◽  
Flowering Date ◽  
Randomized Block Design ◽  
Genotypic And Phenotypic Correlations ◽  
High Heritability

Three varieties and an irradiation-derived line of pigeonpeas were used as parents in five crosses as follows: P.I. 5690 X Kaki, P.I. 5690 X Saragateado, P.I. 5690 X 526, Kald X 526, and Saragateado X 526. The F2, F3 and parents of each cross were planted in the field at the Isabela Substation during 1966-67 in a randomized block design with three replicates. Genotypic variability was studied and genotypic and phenotypic correlations were calculated for all the crosses in the F2 and F3 generations. Genetic coefficients of variation and heritability estimates were computed for four traits in five crosses and for six traits in one particular cross. Frequency distributions are shown for date of flowering, plant height, and seed weight. There was much greater variation for all crosses, in general, in seed weight, plant height, and flowering date than in number of seeds per pod. With the exception of number of pods per plant the correlations between seed yield and other traits were not great enough to provide reliable indications for yield. The phenotypic and genotypic correlations between seed yield and number of pods per plant were high, above 0.90. However, their low heritability, 45.3 and 52.1 percent in F2 and F3 generations, tends to indicate that not too much progress could be expected for seed yield improvement by selecting for large number of pods per plant. Good progress by selection could be made by breeders in traits such as flowering date, plant height, and seed weight which showed high heritability values.

Correlations and path analysis of yield components in synthetic varieties of sunflower ( Helianthus annuus L.)

2007 ◽  
Vol 55 (3) ◽  
pp. 339-345 ◽  
Author(s):  
A. Göksoy ◽  
Z. Turan
Keyword(s):  
Path Analysis ◽  
Plant Height ◽  
Seed Yield ◽  
Yield Components ◽  
Seed Weight ◽  
Field Trials ◽  
Path Coefficient ◽  
Head Diameter ◽  
Synthetic Varieties ◽  
Number Of Seeds

This study was made in order to determine the correlations between seed yield and some yield components, and the direct and indirect effects of these characters on seed yield in sunflower. Four experimental synthetic varieties (Syn 1s), their parental mixtures (Syn Os) and two standard varieties (open pollinated: Vniimk 8931, and commercial hybrid: Sunbred-281) were evaluated in replicated field trials under Turkish conditions in 1995, 1996 and 1997. Agronomic characteristics such as plant height, head diameter, number of seeds per head, 1000-seed weight and seed yield were observed for correlations and path coefficient analysis.According to the results, seed yield gave significant positive correlations with plant height, head diameter, number of seeds per head and 1000-seed weight. The highest positive correlation was observed between seed yield and number of seeds per head (r=0.890**). Path analysis indicated that the number of seeds per head gave the greatest direct effect (+0.7269) on seed yield, followed by 1000-seed weight (+0.3215) and head diameter (+0.1689). The percentage of direct effects on seed yield was 80.8%, 50.6% and 24.0% for number of seeds per head, 1000-seed weight and head diameter, respectively.

scholarly journals Genetic Diversity, Correlations and Path Coefficient Analysis among the F5 Populations of Brassica Species

2021 ◽  
pp. 20-31
Author(s):  
Sujon Kumar ◽  
Barkat Ali ◽  
A. B. M. Khaldun ◽  
Shams Shaila Islam ◽  
M. Shalim Uddin ◽  
...  
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Brassica Species ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Estimate Heritability ◽  
Positive Direct ◽  
Pod Length

The present study was carried out to estimate heritability, genetic variability, correlation and genetic advance among F5 populations of ten genotypes in Brassica species. This study was executed following randomized complete block design (RCBD) with three replications during November 2017 to February 2018 at the experimental field of College of Agricultural Sciences, International University of Business Agriculture and Technology, Dhaka, Bangladesh. Aim of the research was to evaluate and select the best segregating genotypes for the yield and yield contributing traits towards variety development programs. Analysis of variance revealed that the genotypes were significantly different for all the characters studied. The relative phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the traits studied. The high GCV value was observed for the days to 50% flowering (FF), plant height (PH), primary branches per plant (PBP), pod per plant (PP) and seed yield per plant (SYP) that indicated a high broad-sense heritability. A significant positive correlation with seed yield per plant was found in days to 50% flowering (0.578**), the plant height, (0.787**), pod length (PL) (0.406*), seeds per plant (SP) (0.369*), pod per plant (0.697**) and hundred seeds weight (HSW) (0.500**), but significantly negative correlation found in primary branches per plant (-0.046*). The results of path coefficient analysis revealed that days to 50% flowering (0.287), plant height (0.407), pod length  (0.919), seeds per plant (0.033), pod per plant (0.035) and hundred seeds weight (0.795) had a positive direct impact on seed yield per plant and thus it was indicated that these traits could be exploited for the enhancement of yield performance of Brassica species. This study showed that based on the agronomic performance execution, genotypes G2, G5, G6 and G8 might be proposed for future hybridization programs in Bangladesh followed by variety development activities.

scholarly journals Correlation and Path Analysis in Sunflower (Helianthus annuus L.)

Helia ◽  
2015 ◽  
Vol 38 (63) ◽  
pp. 201-210 ◽  
Author(s):  
Biljana Gjorgjieva ◽  
Ilija Karov ◽  
Sasa Mitrev ◽  
Natalija Markova Ruzdik ◽  
Emilija Kostadinovska ◽  
...  
Keyword(s):  
Path Analysis ◽  
Seed Yield ◽  
Seed Weight ◽  
Oil Content ◽  
Block Design ◽  
Oleic Acid Content ◽  
Seed Length ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Selection Of

AbstractThis study was carried out to determine the correlation between agronomic traits and seed yield of sunflower hybrids and also to determine the direct and indirect effects of analyzed traits on seed yield. The primary task in sunflower breeding programs is to increase the seed yield, as well as create new hybrids with high potential for seed and oil yield. The experiment was set up according to randomized block design during two growing seasons (2013 and 2014), on research area of the Faculty of Agriculture, “Goce Delchev” University – Shtip, in Ovche Pole locality, Republic of Macedonia. As an experimental material 20 sunflower hybrids were used. 1,000 seed weight, seed length and width, oil content, oleic acid content and seed yield were analyzed. 1,000 seed weight showed positive and significant correlation with seed width, seed length and seed yield. On the other hand, negative and significant correlation was obtained between 1,000 seed weight and oil content. 1,000 seed weight expressed the highest positive direct effect on seed yield. The results obtained from correlation and path analysis showed that the efficiency in the selection of seed yield in sunflower hybrids should increased through the selection of 1,000 seed weight.

scholarly journals To assess the Character Association and Path Analysis in Chickpea (Cicer arietinum L.) Germplasm Lines Grown under Late Sown Condition

2021 ◽  
pp. 108-114
Author(s):  
Subhadra Pattanayak ◽  
Gabrial M. Lal ◽  
Velugoti Priyanka ◽  
Avneeshmani Tripathi
Keyword(s):  
Path Analysis ◽  
Plant Height ◽  
Correlation Coefficient ◽  
Seed Yield ◽  
Seed Weight ◽  
Quantitative Traits ◽  
Cicer Arietinum L ◽  
Biological Yield ◽  
Positive Direct ◽  
Number Of Seeds

A set of twenty one chickpea genotypes were grown and asses to know the amount of genetic variability, genetic association seed yield and thirteen quantitative traits, direct and indirect effect of yield contributing characters on seed yield. Correlation coefficient analysis revealed that seed yield per plant exhibited positive and significant association with 50% pod setting and plant height at genotypic and phenotypic levels. Correlation coefficient analysis revealed that seed yield per plant exhibited positive and significant association with 50% pod setting and plant height at genotypic and phenotypic levels. Path analysis revealed that characters such as plant height, number of primary branches, number of seeds per pod, hundred seed weight, biological yield and harvest index have positive direct effect on seed yield per plant at genotypic level.

Character associations between seed yield and its components traits in cowpea [Vigna unguiculata (L.) Walp.]

2015 ◽  
Vol 49 (6) ◽  
Author(s):  
H. K. Meena ◽  
K. Ram Krishna ◽  
Bhuri Singh
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Flowering Plant ◽  
Direct Selection ◽  
Path Coefficient ◽  
Days To Maturity ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Pod Length ◽  
100 Seed Weight

A field experiment was conducted during <italic>kharif</italic> season 2013 to estimate the correlations and path coefficients for ten quantitative characters among 72 cowpea germplasm. Seed yield per plant had positive significant correlation with days to 50% flowering, plant height, primary branches per plant, pods per plant, pod length, seeds per pod and 100-seed weight at both genotypic and phenotypic levels. Path coefficient analysis revealed that primary branches per plant and 100-seed weight had high direct positive effect on seed yield per plant at both genotypic and phenotypic levels. Pod length, days to maturity, 100 seed weight and pod wall proportion had high positive direct effects on seed yield per plant at only genotypic level. Correlation and path analysis indicated that for increasing seed yield in cowpea direct selection should be carried out for higher values of primary branches per plant, pods length, days to maturity and 100 seed weight.

scholarly journals Genetic Variability and Path Analysis Studies in Barley (Hordeum vulgare L.)

2019 ◽  
Vol 7 (2) ◽  
pp. 243-247
Author(s):  
Mohammad Quamrul Islam Matin ◽  
Mohammad Amiruzzaman ◽  
Md. Motasim Billah ◽  
Most. Bilkis Banu ◽  
Nazmun Naher ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Path Analysis ◽  
Plant Height ◽  
Seed Weight ◽  
Block Design ◽  
Spike Length ◽  
Direct Selection ◽  
Hordeum Vulgare L ◽  
Days To Heading ◽  
Positive Direct

The present study was carried out to investigate the correlation coefficient, path analysis and genetic variability among some barley varieties for nine characters in a Randomize Block Design (RBD) with three replications in three environments of Bangladesh. High genotypic coefficient of variation (GCV) was obtained from grain/ spike (29.89 %), yield/ plant (28.72%) and effective tiller/plant (21.86 %) and spike length (13.56 %). The characters with high GCV indicated high potential for selection. The highest heritability (Hb) was observed for 1000 seed weight (95.09) followed by yield/ plant (93.98), grain/ spike (92.09) and spike length (69.93), days to heading (72.65) but the lowest Hb was identified for effective tiller/plant (22.41) followed by the plant height (34.21). Those traits with higher heritability may be considered for selection. Grain/ spike had the highest positive direct effect (5.65) on yield followed by 1000 seed weight (4.65), spike length (1.26), yield/ plant (0.66), days to heading (0.55) and days to maturity (0.34). These parameters were identified as direct selection. Direct negative effect on yield was shown by plant height (-0.32) and effective tiller/plant (-0.74). This was an indication of indirect selection. Int. J. Appl. Sci. Biotechnol. Vol 7(2): 243-247

scholarly journals Assessment of Genetic Variability and Correlation of Yield Related Traits in Chickpea (Cicer arietinum L.)

2021 ◽  
pp. 181-188
Author(s):  
Veeramalla Rohith Guptha ◽  
Gabrial M. Lal ◽  
Jakkam Mahipal Reddy ◽  
P. Venkata Bala Bramhanjaneyulu ◽  
C. Kalyan Sagar ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Path Analysis ◽  
Plant Height ◽  
Seed Yield ◽  
Block Design ◽  
Heritability Estimate ◽  
Selection Strategy ◽  
Plant Seed ◽  
Positive Direct ◽  
Number Of Seeds

The present investigation was undertaken with 21 genotypes of Chickpea, (including one check) during Rabi 2020-21 in a randomized block design with three replications at field experimentation centre of Department of Genetics and Plant Breeding. Sam Higginbottom University of Agriculture, Technology and Sciences. The data were recorded for 13 characters to study genetic variability, correlation and path analysis. Analysis of variance among 21 genotypes showed highly significant differences for all the characters indicated the presence of substantial amount of genetic variability. On the basis of mean performance, the highest seed yield was observed in genotype NBEG-1121 and RVS-5949. The estimates of GCV and PCV were moderate for plant height, number of primary branches. Low GCV and PCV was recorded for days to 50% flowering. The difference between PCV and GCV was very low for all 13 yield contributing characters. This indicates that the influence of environment factor was low on these characters. High heritability estimate was recorded for number of seeds per plant, number of secondary branches per plant. A high magnitude of genetic advance expressed as a percent of mean was observed in respect of number of seeds per plant, number of secondary branches per plant. Seed yield per plant exhibited positive and highly significant correlations with days to 50% Flowering, no of secondary branches at both genotypic and phenotypic level. The positive non-significant correlations of seed yield per plant were found with number of secondary branches and days to maturity. Negative non- significant correlation was being observed with the plant height, number of primary branches per plant and number of pods per plant. Path analysis at both genotypic and phenotypic level showed positive direct effects by days to 50% flowering, number of secondary branches per plant. The characters identified above as important components merit due to consideration in the formulation of effective selection strategy in chickpea for developing high yielding varieties.

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