Developing a Selection Criterion Using Correlation and Path Coefficient Analysis in Sunflower (Helianthus Annuus L.)

Helia ◽  
2019 ◽  
Vol 42 (70) ◽  
pp. 85-99
Author(s):  
Adeel Riaz ◽  
Muhammad Hammad Nadeem Tahir ◽  
Muhammad Rizwan ◽  
Sajid Fiaz ◽  
Sadaruddin Chachar ◽  
...  
Keyword(s):  
Plant Height ◽  
Coefficient Of Variation ◽  
Plant Traits ◽  
Genetic Correlations ◽  
Selection Criterion ◽  
Stem Diameter ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Head Diameter ◽  
Number Of Leaves

AbstractIn breeding programs, it is imperative to recognize the genetic variations and levels of association between traits that directly or indirectly affect the yield. Achene yield and related traits in forty-nine sunflower genotypes were studied for genetic variability, correlations and path coefficient analysis. The phenotypic coefficient of variation (PCV) were higher than the genotypic coefficient of variation (GCV) for the all the studied traits in sunflower. The most active association of achene yield was found with achene/head, 100-achene weight and plant height. However, oil contents had a negative association with achene filling percentage, 100-achene weight, number of leaves and stem diameter. The maximum direct influence on achene yield were exerted by head diameter followed by achene filling percentage, 100 achene weight, achene/head and number of leaves. In contrast, plant height, days to maturity and stem diameter had the negative direct impact on yield. The genetic correlations were higher than phenotypic correlations which suggest that environmental influences were very low. Our results showed that achene/head, 100 achene weight, plant height and head diameter are important plant traits which should be considered while planning any breeding program for higher achene yield in sunflower.

scholarly journals Heritability, Correlation and Path Coefficient Analysis in Fifty Seven Okra Genotypes

2015 ◽  
Vol 3 (1) ◽  
pp. 127-133 ◽  
Author(s):  
K.U. Ahamed ◽  
B. Akter ◽  
N. Ara ◽  
M.F. Hossain ◽  
M. Moniruzzaman
Keyword(s):  
Plant Height ◽  
Seed Weight ◽  
Fruit Yield ◽  
Path Coefficient ◽  
Moderate Degree ◽  
Path Coefficient Analysis ◽  
Positive Correlation ◽  
Number Of Leaves ◽  
100 Seed Weight ◽  
Number Of Seeds

A study was undertaken to analyses the heritability, correlation and path co-efficient for growth and fruit characteristics in fifty seven okra(Abelmoschus esculentus Lam) genotypes grown at Plant Genetic Resources Centre, Regional Agricultural Research Station, BangladeshAgricultural Research Institute during kharif season of 2013. The highest range of variation was recorded in average fruit weight (18.25-25.41g), followed by yield per plant (98.90 – 1650.00g). The highest GCV (46.70 %) and PCV (47.72 %) were recorded for fruit yield perplant while both were lowest for days to maturity (8.07 % and 8.25 %). High heritability coupled with high or moderate degree of geneticadvance was estimated in plant height (99.82 % and 205.06), number of fruits per plant (99.53% and 203.63%), number of leaves per plant(99.57% and 204.49%), number of seeds per fruit (99.73% and 205.44%), leaf length (98.22% and 198.52%), leaf diameter (98.91% and203.76%), 100-seed weight (98.12% and 202.13%) and yield per plant (95.76 % and 197.26%). The highest positive correlation were observedbetween number of fruits per plant and yield per plant (r = 0.99**) and between number of fruits per plant and 100-seed weight (r = 0.44**).Also results showed that significantly positive correlation were between 100-seed weight and yield per plant (r = 0.44**), 100-seed weight andleaf length (r =0.42**), 100-seed weight and leaf diameter (0.38**), number of leaves per plant and 100-seed weight (r = 0.28*), 100-seedweight and plant height(r =0.40**), 100-seed weight and fruit length (r =0.28*). Significantly positive correlations were also observed for plantheight and number of fruits per plant, number of leaves per plant and yield per plant. The path coefficient analysis was done to determine directand indirect effects of traits on fruit yield. Direct significant positive and negative effect of number of fruits per plant (-0.091), 100-seed weight(0.174), number of seeds per plant (-0.213), average fruit yield (-0.310) towards yield.DOI: http://dx.doi.org/10.3126/ijasbt.v3i1.12142      Int J Appl Sci Biotechnol, Vol. 3(1): 127-133 

scholarly journals Correlation and Path Coefficient Analysis in Tuberose Cultivars Single

2020 ◽  
Author(s):  
D. Priyanka Gandhi ◽  
T. Usha Bharathi
Keyword(s):  
Plant Height ◽  
Direct Effect ◽  
Spike Length ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Quantitative Characters ◽  
Number Of Leaves ◽  
Positive Direct ◽  
Very High

A study was carried out to determine the association between different quantitative characters of eighteen genotypes of tuberose cultivars single. The highest positive and significant association was recorded for spike yield with plant height (0.33), rachis length (0.30), number of florets per spike (0.34), weight of single floret (0.63), matured bud weight (0.66), duration of flowering (0.52). The results of path coefficient analysis indicated that the weight of the floret (1.48) had very high positive direct effect on spike yield per plant followed by length of the floret (0.84) number of florets per spike (0.45) and duration of flowering (0.41). Spike length (0.27) had moderate positive direct effect. Plant height (0.16) and number of leaves (0.17) showed low positive direct effect and rest of the characters had negligible positive direct effect on spike yield per plant. The results of the study indicates that the above mentioned characters can be used for the improvement of tuberose.

scholarly journals Genetic Variability, Correlation and Path Coefficient Analysis in Advanced Generation of Brassica napus L.

2019 ◽  
pp. 1-12
Author(s):  
Md. Nur-E-Nabi ◽  
Md. Ehsanul Haq ◽  
Montasir Ahmed ◽  
Md. Monir Hossain ◽  
Md. Shefat-al-Maruf ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Yield Potential ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Brassica Napus L ◽  
Positive Direct

The present study was conducted involving 62 F3 genotypes of Brassica napus L. at the experimental farm of Sher-e-Bangla Agricultural University, Dhaka, Bangladesh to ponder the genetic variability, phenotypic, genotypic and environmental coefficient of variation, heritability and genetic advance, correlation, path coefficient and genetic diversity analysis in a randomized complete block design (RCBD) with sixty-two genotypes (treatments) with three replications during November 2014 to February 2015. The investigations aimed to select the best segregating genotypes for the yield improvement of Brussica napus (rapeseed). Analysis of variance indicated that the genotypes were found significantly different for all the characters considered. The relative phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the traits investigated. The high GCV value was observed for the number of siliqua per plant (NSP), plant height (PH), silique length (SL), number of seed per silique (NSS) and seed yield per plant (SYP) indicated high broad sense heritability. The significant positive correlation with seed yield per plant (SYP) was found in plant height (PH) (0.368**), the number of primary branches per plant (NPB) (0.332**), number of secondary branches per plant (NSB) (0.382**), number of silique per plant (NSP) (0.549**), and siliqua length (SL) (0.037**). The results of path coefficient analysis uncovered that plant height (PH) (0.582), days to 50% flowering (50F) (0.390), days to maturity (DM) (0.575), number of primary branches per plant (NPB) (0.678), number of secondary branches per plant (NSB) (0.182),and thousand seed weight (TSW) (0.289) had a positive direct impact on seed yield per plant (SYP) and thus it was concluded that these traits could be exploited for the enhancement of yield potential of rapeseed. This study showed that based on the agronomic performance execution, genotypes G8, G14, G19, G21, G47, and G55 might be proposed for future hybridization program in Bangladesh and this could help rapeseed breeders to upgrade their breeding activities.

Combining Ability Analysis for Achene Yield and Related Components in Sunflower (Helianthus annuus L.)

Helia ◽  
2017 ◽  
Vol 40 (67) ◽  
Author(s):  
Adeel Riaz ◽  
Muhammad Hammad Nadeem Tahir ◽  
Muhammad Rizwan ◽  
Mian Faisal Nazir ◽  
Bisma Riaz
Keyword(s):  
Plant Height ◽  
Combining Ability ◽  
Stem Diameter ◽  
Cross Combination ◽  
Head Diameter ◽  
Combining Ability Analysis ◽  
Days To Maturity ◽  
Number Of Leaves ◽  
Breeding And Genetics

AbstractFor determination of best general and specific combiners for achene yield and related components, a study on a 7×7 diallel fashion in sunflower was conducted at experimental field of Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad, Pakistan. The data were recorded on quantitative traits; days to maturity, plant height, stem diameter, head diameter, number of leaves, Achene per head, achene yield per plant, 100-achene weight, filled achene percentage and oil contents and subjected to Analysis of variance and combining abilities. The accessions were significant for studied traits except oil contents. The accessions A-544, A-554 and A-552 showed significant general combining ability effects days to maturity, plant height, stem diameter, head diameter, number of leaves and filled achene, achene per head and achene yield per plant. The best cross combination A-546×A-560 showed significant specific combining ability effects for number of leaves and filled achene percentage. Among reciprocal crosses, the cross A-560×A-534 proved best for plant height and stem diameter while A-548×A-546 for number of leaves and achene per head.

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 Plant traits to complement selection based on yield components in wheat

2005 ◽  
Vol 35 (5) ◽  
pp. 1010-1018 ◽  
Author(s):  
Lauro Akio Okuyama ◽  
Luiz Carlos Federizzi ◽  
José Fernandes Barbosa Neto
Keyword(s):  
Plant Height ◽  
Direct Effect ◽  
Plant Traits ◽  
Flag Leaf ◽  
Spike Length ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Positive Correlation ◽  
Water Stress Condition ◽  
Positive Direct

The aim of the present study was to investigate the relationship between plant traits and yield per spike in wheat genotypes. The measured plant traits were: length of flag leaf blade, peduncle extrusion, peduncle, spike and sheath, culm diameter and plant height. Data were analyzed with correlation and path coefficient analysis. Yield per spike correlated positively with spike length and culm diameter. Path coefficient analysis indicated that, under irrigated condition, yield per spike had a positive direct effect and a positive correlation with spike length and culm diameter and, under non-irrigated condition, yield per spike showed a positive direct effect and a positive correlation with culm diameter, spike length and plant height. Culm diameter and spike length, under irrigated condition, and also plant height, under late season water stress condition, were the plant traits most related to higher grain yield per spike in wheat.

scholarly journals Growth and production of irrigated vitória pineapple grown in semi-arid conditions

2014 ◽  
Vol 36 (3) ◽  
pp. 693-703 ◽  
Author(s):  
Rodinei Facco Pegoraro ◽  
Bruna Aparecida Madureira de Souza ◽  
Victor Martins Maia ◽  
Uirá do Amaral ◽  
Marlon Cristian Toledo Pereira
Keyword(s):  
Plant Height ◽  
Biomass Production ◽  
Plant Traits ◽  
Block Design ◽  
Leaf Length ◽  
Stem Diameter ◽  
Plant Residue ◽  
Arid Conditions ◽  
Vegetative Biomass ◽  
Semi Arid

This study aimed to evaluate the growth characteristics of irrigated Vitória pineapple plants grown in semi-arid conditions and determine its developmental stages based on those characteristics. It was used a randomized block design with four replicates. The experimental treatments were: plant harvest at 270, 330, 390, 450, 510, 570, 690, 750, and 810 days after planting (DAP). The following variables were determined: plant height, stem diameter, D-leaf length, D-leaf fresh and dry mass, biomass production of plants and plant parts (organs), and vegetative biomass. Five phenological stages are proposed based on vegetative biomass production: < 20% biomass production (V1); 21-40% (V2); 41-60% (V3); 61-80% (V4); and > 80% (V5). The maximum growth rate for plant height, D-leaf length, and stem diameter was observed at the end of the phenological stage V1 (390-411 DAP), and at the end of stage V5 these plant traits had average values of 106, 82, and 7 cm, respectively. The maximum biomass accumulation rates were observed at stages V4 and V5, resulting in a final fruit yield and total fresh biomass of 72 t ha-1 and 326 t ha-1, respectively. Finally, we estimated that 80% of the accumulated biomass may remain in the field after fruit and slip harvest, and could be incorporated as plant residue into the soil.

scholarly journals Çeşitli Biyoaktivatör Uygulamalarının Çarkıfelek ve Guava Bitkilerinin Fidan Gelişimi Üzerine Etkileri

2020 ◽  
Vol 8 (2) ◽  
pp. 421
Author(s):  
Canan Nilay Duran ◽  
Gizem Demirkaplan ◽  
Sevinç Şener
Keyword(s):  
Plant Height ◽  
Growth And Development ◽  
Ornamental Plants ◽  
Nutrient Content ◽  
Psidium Guajava ◽  
Stem Diameter ◽  
Sapling Growth ◽  
Number Of Leaves ◽  
Average Plant ◽  
Average Plant Height

Passionflower is a member of Passifloraceae family, it can be used as medicinal and ornamental plants in addition to its consumption as fruit in the world. Guava (Psidium guajava L.) fruits, which has a rich nutrient content, are consumed both fresh and processed. Passionfruit and guava plants, which can only be cultivated in temperate southern coasts in our country, have gained commercial importance because of the fruits' export potential, high medical importance and nutrient. This study was carried out to determine the effects of some bioactivator applications on the criteria of sapling growth and development of passionflower and guava plants. The experiment was conducted between 2018-2019 under greenhouse conditions. Saplings obtained from seed germination in Akdeniz University Faculty of Agriculture Research and Experiment Area were used as plant material. 3 different commercial preparations called Messenger, Crop-set and ISR-2000 were used as bioactivators. Plant height (cm), stem diameter (mm) and number of leaves (number / plant) were measured weekly, in order to determine the effect of the applications on the growth and development of saplings. At the end of the study, it was determined that the highest average plant height (10.17 cm), stem diameter (13.53 mm) were obtained in ISR-2000 application. The highest average plant height (11.93 cm), stem diameter (16.44 mm) and number of leaves (9.07 units / plant) were obtained from Messenger application in guava plant. When the results obtained are evaluated, it is recommended that ISR-2000 bioactivator can be applied in passionflower sapling cultivation and Messenger bioactivator can be applied for guava sapling cultivation.

scholarly journals Genetic correlations and path-coefficient analysis of yield and quality components in wheat, Triticum aestivum L.

Genetika ◽  
2004 ◽  
Vol 36 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Veselinka Zecevic ◽  
Desimir Knezevic ◽  
Danica Micanovic
Keyword(s):  
Genetic Correlation ◽  
Harvest Index ◽  
Genetic Correlations ◽  
Grain Weight ◽  
Spike Length ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Thousand Grain Weight ◽  
Path Coefficient Analysis ◽  
Bread Making

The genetic and phenotypic correlations between yield components (productive tillering, plant height, spike length, number of spikelets per spike, number of grains per spike, grain weight per spike, grain weight per plant, harvest index, thousand grain weight) and quality components (grain protein content and sedimentation value) were investigated. The plant material was comprised of 50 genotypes of winter wheat grown during two years. Path- coefficient analysis of genetic correlation coefficients for grain mass/plant and other traits determined interrelationships among grain mass per plant and other yield and bread making quality components. The strongest positive genetic correlation was found between grain weight per spike and thousand grain weight and between spike length and number of spikelets per spike. Phenotypic correlation analysis indicated that grain weight per spike correlated positively and significantly with harvest index and thousand kernel weight. The strongest direct effect on grain weight per plant had harvest index and number of spikelets per spike. The spike length through number of spikelets per spike had the strongest indirect effect on grain weight per plant.

Sign in / Sign up

Export Citation Format

Share Document