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 Correlation and path analysis of yield and yield components in winter rapeseed

Genetika ◽  
2021 ◽  
Vol 53 (1) ◽  
pp. 157-166
Author(s):  
Velimir Radic ◽  
Igor Balalic ◽  
Milos Krstic ◽  
Ana Marjanovic-Jeromela
Keyword(s):  
Seed Germination ◽  
Path Analysis ◽  
Protein Content ◽  
Seed Yield ◽  
Seed Weight ◽  
Oil Content ◽  
Seed Oil ◽  
Seed Oil Content ◽  
Correlation And Path Analysis ◽  
Positive Direct

Five different rapeseed genotypes were tested. The following traits were considered: seed yield, seed germination, seed oil content, 1000 seed weight and seed protein content and they were used to determine whether there is significant or nonsignificant correlation. Highest average results were determined in genotype G-3 (yield 2.544 kg; germination 90%; 1000 seed weight 4,30 g; oil content 45,31% and protein content 19,83%) while G-5 (1.838 kg; 87%; 3,50 g; 44,77% and 17,28%) had the lowest average result of observed parameters. Highly significant positive correlations were found while comparing seed yield with 1000 seed weight (0.753**) and protein content (0.726**). High significant positive correlation were also determined comparing seed germination with 1000 seed weight (0.832**) and protein content (0.892**). Also high significant correlation was determined comparing 1000 seed weight and protein content (0.812**). Positive significant correlations were found by comparing seed yield and seed germination (0.644*). Path analysis indicated highest significant positive direct effect of 1000 seed weight (0.716**) and protein content (0.666**) on seed yield. High but negative significant value had seed germination (-0.645**). In the study of indirect effects on seed yield, none of significant effects were determined. The study of direct effects on oil content showed that the seed germination had high significant positive effect (-1.296**) on oil content. Significant but hot high effect has seed yield (0.556*). In other two traits it was determined negative high significant effects (1000 seed weight - 0.797** and protein content - 0.717**) on seed oil content. The existence of indirect significant effects on oil content in four cases was determined.

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.

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 Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean

2021 ◽  
Vol 22 (3) ◽  
Author(s):  
Anna Satyana Karyawati ◽  
ENO SINTHIA VINKY PUSPITANINGRUM
Keyword(s):  
Path Analysis ◽  
Agronomic Traits ◽  
Block Design ◽  
Dry Weight ◽  
High Yield ◽  
Plant Weight ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Number Of Seeds ◽  
Number Of Branches

Abstract. Karyawati AS, Puspitaningrum ESV. 2021. Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean. Biodiversitas 22: 1146-1151. To obtain more productive soybean genotypes, it is essential to know the contribution of each agronomic trait to the productivity of soybeans. The purpose of this study was to analyze the correlation and path analysis in thirty genotypes of soybeans (Glycine max (L.) Merrill) for eleven traits. The study was conducted in March-June 2019, in an experimental area located at Agro Techno Park, which belongs to Universitas Brawijaya, Malang, East Java Province, Indonesia. The experimental design was a randomized complete block design with three replications. Analysis of correlation showed that the number of branches, number of filled pods, number of seeds per plant, weight of 100 seeds, and weight of seeds per plant had a positive correlation value to the yield. Path analysis showed that the number of seeds per plant had a high positive, direct effect on the yield. The plant height, number of branches, fresh weight and dry weight had an indirect effect on the yield. Based on the result, the number of seeds per plant can be selected as one of the selection criteria in a soybean breeding program to obtain a high-yield soybean variety.

Correlation and Path Analysis Studies for Various Yield and Component Traits in the Segregating Generations of Blackgram [Vigna mungo (L). Hepper]

2021 ◽  
Author(s):  
Rhitisha Sood ◽  
R.K. Mittal ◽  
V.K. Sood ◽  
Shailja Sharma
Keyword(s):  
Path Analysis ◽  
Indirect Effects ◽  
Block Design ◽  
Positive Association ◽  
Direct And Indirect Effects ◽  
Legume Crop ◽  
Component Traits ◽  
Biological Yield ◽  
Correlation And Path Analysis ◽  
Positive Direct

Background: Blackgram despite of being a highly nutritious and short duration legume crop, it is not cultivated on large scales due to many constraints. Considering this, the research was aimed to develop blackgram genotypes with wider adaptability, genetic variability and high yielding potential by studying nature and magnitude of association among yield and related traits for effective production. Methods: The present investigation was carried out at Experimental Farm of the Department of Genetics and Plant Breeding, College of Agriculture, CSK HPKV, Palampur (H.P.) to assess the character association and direct and indirect effects among yield and related traits in 14 crosses and ten parents for 11 quantitative characters during Kharif 2018 and 2019 in randomized complete block design with three replications. Result: Correlation studies highlighted that seed yield per plant had significant and positive association with pods per plant, biological yield per plant, pod length, plant height and 100 seed-weight at genotypic and phenotypic levels in both generations. Study of path analysis revealed that biological yield per plant and pods per plant exhibited maximum positive direct and indirect effects to the total association between yield and other component traits in both the generations. These traits could be suggested as best selection indices on priority basis which would be commendable to improve the performance of genotypes during breeding programme.

scholarly journals Evaluation of bunch quality components in Dura x Dura progenies of Zambia and Camaroon sources of oil palm germplasm

2021 ◽  
Vol 42 (6) ◽  
pp. 1567-1677
Author(s):  
A. Pedapati ◽  
◽  
R.K. Mathur ◽  
G. Ravichandran ◽  
B.K. Babu ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Path Analysis ◽  
Oil Palm ◽  
Principal Component ◽  
Analysis Data ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Positive Significant Correlation ◽  
Selection Of

Aim: The present study was conducted to evaluate oil palm dura progenies developed from Zambia and Cameroon germplasm sources for bunch components for the selecting of high oil yielding mother palms. Methodology: Total 77 dura genotypes were evaluated by considering 15 different bunch components. Bunch analysis data were collected from tenth year onwards after planting. The genetic diversity, Principal component analysis, correlation and path analysis of the genotypes were estimated. Results: Study revealed that oil-to bunch ratio depends on fruit-to-bunch ratio and mesocarp-fruit ratio. The ANOVA value showed a significant variability among the genotypes for most of the bunch traits and the identified genotype P35 (24.53 %) was highest oil yielder. Positive significant correlation (p≤ 0.01) of mesocarp-to-fruit ratio and oil-to-dry mesocarp with oil-to-bunch ratio were noted in this study. Based on path analysis, the information obtained from this study is the oil-to-wet mesocarp ratio (0.697) showed the highest significant positive direct effect on oil-to-bunch ratio followed by mesocarp-to-fruit ratio (0.570). Interpretation: This study may support for the future selection of mother palms to utilize in oil palm improvement programmes. Introgression into existing breeding materials and breeding for seed production utilising selected palms.

scholarly journals Genetic study of terminal heat stress in indigenous collections of Indian mustard (Brassica juncea L.) germplasm

2022 ◽  
Vol 43 (1) ◽  
pp. 161-169
Author(s):  
H.K. Sharma ◽  
◽  
V.V. Singh ◽  
A. Kumar ◽  
H.S. Meena ◽  
...  
Keyword(s):  
Heat Stress ◽  
Seed Yield ◽  
Seed Weight ◽  
Block Design ◽  
Geometric Mean ◽  
Indian Mustard ◽  
Zone Length ◽  
Terminal Heat Stress ◽  
Heat Tolerant ◽  
Selection Of

Aim: The present study was carried out to evaluate 145 genotypes of Indian mustard for terminal heat stress under late sown irrigated conditions. Methodology: One hundred and forty five genotypes of Indian mustard were evaluated for terminal heat tolerance, along with six checks in augmented block design. The effect of heat stress was assessed on different agro-morphological traits. Data were recorded on five randomly selected plants for 12 different quantitative traits for each genotype. Results: Terminal heat stress caused significant reduction in performance of all traits, except oil content and fruiting zone length. Seed yield per plant showed highest reduction (33.92%) followed by 1000-seed weight (21.28%). Thousand-seed weight and secondary branches per plant were found associated with seed yield under late sown conditions. Based on yield under stress, yield index, geometric mean productivity and stress tolerance indices, five lines viz., DRMR-59, DRMR-2094, DRMR-2129, DRMR-2071, DRMR-2136 were identified as high yielding and terminal heat stress tolerant. Whereas, based on heat stress susceptibility index, DRMR-1347, DRMR-1154, DRMR-1190 were top performing lines tolerant to terminal heat stress. Interpretation: Selection of high yielding lines under stress condition can be done using correlated traits. Yield under stress was found significantly correlated with YSI, YI, MP, STI and GMP suggesting to use these indices for selection of high yielding and heat tolerant lines. However, further re-validation is very much needed for effective use of these indices for selection of heat tolerant lines in Indian mustard.

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

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