scholarly journals Character Interrelationships and Path Analysis for Yield Components in MPOB-Senegal Oil Palm Germplasm

2021 ◽  
Vol 50 (3) ◽  
pp. 699-709
Author(s):  
AYE MYINT KHIN ◽  
MOHD DIN AMIRUDDIN ◽  
MOHD Y. RAFII ◽  
MOHD YUSOFF ABD SAMAD ◽  
SHAIRUL IZAN RAMLEE ◽  
...  
Keyword(s):  
Palm Oil ◽  
Indirect Effect ◽  
Oil Palm ◽  
Indirect Effects ◽  
Yield Components ◽  
Oil Yield ◽  
Path Coefficient ◽  
Direct And Indirect Effects ◽  
Path Coefficient Analysis ◽  
Positive Direct

Phenotypic associations among yield-related traits and the pattern of influence in crops are useful in evaluating, planning and selection criteria for the desirable traits. This research aimed to evaluate linear correlations and estimate the direct and indirect effects among morphological traits on oil yield of MPOB-Senegal germplasm. Data were collected annually for successive eight years (2000 to 2007) and was estimated for the phenotypic correlations, and decomposition into direct and indirect effects using path coefficient analysis. The result of the correlation and path coefficient analysis showed significant highly positive relations between some yield components and oil yield. Oil to wet mesocarp (OTWM) and bunch number (BNO) had high positive direct effect on oil yield while fresh fruit bunch (FFB), oil to fiber (OTF), fruit to bunch (FTB), and average bunch weight (ABWT) showed indirect effect on oil yield. In improvement of palm oil yield, traits that show high direct and/or indirect effect on oil yield should be considered. Hence, FFB, OTF, FTB, OTWM, and ABWT have maximum direct and indirect effect can be used effectively for the improvement of the palm oil yield of the MPOB-Senegal oil palm germplasm.

scholarly journals Path Coefficient Analysis of Some Prominent Agronomic Traits in Castor (Ricinus communis L.) Germplasm

2019 ◽  
pp. 1-12
Author(s):  
Destaw Mullualem Atinafu ◽  
Shiferaw Alemu Alayachew ◽  
Zerihun Jida
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Indirect Effects ◽  
Ricinus Communis ◽  
Path Coefficient ◽  
Direct And Indirect Effects ◽  
Path Coefficient Analysis ◽  
Ricinus Communis L ◽  
Positive Direct ◽  
Plant Length

Background and Objective: Castor (Ricinus communis L.) is a diploid plant with chromosome number of 2n=20 which belongs to family of Euphorbiaceous and genus Ricinus.  Correlation alone is not efficient for variability studies. So, it should be in conjugation with Path co- efficient analysis to know the direct and indirect effects. This study was conducted to assess the role of evaluating path coefficient analysis in castor. Materials and Methods: A Field experiment was carried out to determine direct and indirect effects of yield and its components in castor accessions at Melkassa, central rift valley of Ethiopia under irrigation in 2014. The experiment was conducted using a randomized complete block design with 3 replications and a total of 48 castor accessions were evaluated. Results: Number of capsules per plant, number of primary branches per plant, length of inter node and hundred seed weight had exerted positive direct effect for both at phenotypic and genotypic path analysis.Phenotypic and genotypic path analysis showed that the number of capsules per plant, number of secondary branches per plant, length of inter node, days to 50% second flowering and seed yield exhibited positive direct effect on oil content.  Conclusion: Thus, traits like number of capsules per plant, number of secondary branches per plant, length of inter nod and days to 50% second flowering should be given emphasis in improving seed yield.

scholarly journals A Research on determining the factors affecting on seed yield in different lentil lines and cultivars (Lens culinaris Medik.) in adiyaman conditions by correlation and path coefficient analysis

2021 ◽  
Vol 6 (1) ◽  
pp. 17
Author(s):  
Umit Girgel ◽  
Hatice Cokkizgin ◽  
Alihan Cokkizgin
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Indirect Effect ◽  
Lens Culinaris ◽  
Correlation Coefficients ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Factors Affecting ◽  
Positive Direct ◽  
Pod Number

This research was conducted in 2015 year in Kahramanmaras province (37°32'09.5"N 36°55'01.2"E) with 3 lentil genotypes (CAGIL, FIRAT-87, and FLIP 2005-20 L).  In the research, direct and indirect effects of yield components on seed yield were examined by correlation and path coefficient analysis. The correlation coefficients between the investigated features were found to be insignificant. According to the path coefficients, the highest positive direct effect on seed yield was determined as pod number per plant (p=4.015). On the other hand, the highest negative direct effect on seed yield was obtained from plant height (p=-3.606). The indirect effect of the seed number per plant over number of days until maturity on the seed yield was determined as the highest positive indirect effect (p=55.546%). The indirect negative highest effect on seed yield was determined in the pod number per plant over thousand seed weight (p=51.488%). As a result, the number of pods per plant should be taken into consideration by the breeders due to direct effect of it was positive and high

scholarly journals Path analysis for grain yield in barnyard millet (Echinochloa frumentacea (Roxb.) link )

2015 ◽  
Vol 44 (1) ◽  
pp. 147-150
Author(s):  
R Prakash ◽  
C Vanniarajan
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Association Studies ◽  
Path Coefficient ◽  
Direct And Indirect Effects ◽  
Direct Effects ◽  
Path Coefficient Analysis ◽  
Barnyard Millet ◽  
Straw Yield ◽  
Echinochloa Frumentacea

Path coefficient analysis was studied in 65 genotypes of barnyard millet to find out the association studies of characters and their direct and indirect effects on grain yield/plant. Results exhibited that single earhead weight had maximum direct effects on grain yield/plant followed by straw yield/plant, earhead length and plant height. DOI: http://dx.doi.org/10.3329/bjb.v44i1.22739 Bangladesh J. Bot. 44(1): 147-150, 2015 (March)

scholarly journals Correlation coefficients, path analysis and disease reaction between yield and yield components in Potato (Solanum tuberosum L.) genotypes in Bale, South Eastern Ethiopia

2016 ◽  
Vol 3 (3) ◽  
pp. 293
Author(s):  
Getachew Workalemahu ◽  
Wassu Mohammed
Keyword(s):  
Path Analysis ◽  
Indirect Effects ◽  
Yield Components ◽  
Tuber Yield ◽  
Phenotypic Correlation ◽  
Tuber Weight ◽  
Direct And Indirect Effects ◽  
Marketable Tuber ◽  
Positive Direct ◽  
Average Tuber Weight

Study on the relationships between yield and its components will improve the efficiency of breeding programmes by determining appropriate selection criteria. An investigation was carried out on 24 potato genotypes to find out the association among yield, yield components and their direct and indirect effects on tuber yield of potato. The experiment was laid out in randomized complete block design with three replications at Sinana Agricultural Research Center. The association was analyzed by correlation coefficient, and further subjected to path analysis to estimate direct and indirect effects of each character on tuber yield. Positive and significant genotypic and phenotypic correlation were found between total tuber yield and marketable tuber yield (rg=0.99), leaf area index (rg=0.82), plant height(rg=0.56), stem number per plant(rg=0.56), average tuber weight (rg=0.74)  and biomass yield (rg=0.69). Path analysis of tuber yield and its components shows that marketable tuber yield and average tuber weight had maximum positive direct genotypic and phenotypic effect on total tuber yield indicating their importance in selection for tuber yield improvement.

scholarly journals Correlation and path coefficient analysis in determining the characteristics that affect seed yield in different lentil (Lens culinaris Medik.) genotypes in Kahramanmaras conditions

2021 ◽  
Vol 6 (1) ◽  
pp. 7
Author(s):  
Alihan Cokkizgin ◽  
Umit Girgel ◽  
Hatice Cokkizgin
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Indirect Effect ◽  
Lens Culinaris ◽  
Correlation Coefficients ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Path Coefficients ◽  
Positive Direct ◽  
Pod Number

This research was conducted in 2015 year in Kahramanmaras province (37°32'09.5"N 36°55'01.2"E) with 3 lentil genotypes (CAGIL, FIRAT-87, and FLIP 2005-20 L).  In the research, direct and indirect effects of yield components on seed yield were examined by correlation and path coefficient analysis. The correlation coefficients between the investigated features were found to be insignificant. According to the path coefficients, the highest positive direct effect on seed yield was determined as pod number per plant (p=4.015). On the other hand, the highest negative direct effect on seed yield was obtained from plant height (p=-3.606). The indirect effect of the seed number per plant over number of days until maturity on the seed yield was determined as the highest positive indirect effect (p=55.546%). The indirect negative highest effect on seed yield was determined in the pod number per plant over thousand seed weight (p=51.488%). As a result, the number of pods per plant should be taken into consideration by the breeders due to direct effect of it was positive and high

scholarly journals Genotypic correlation and path coefficient analysis for yield and yield contributing traits in released varieties of barley (Hordeum vulgare L.) under partially reclaimed saline sodic soil

2017 ◽  
Vol 9 (1) ◽  
pp. 192-195
Author(s):  
Arun Kumar ◽  
Jaydev Kumar ◽  
Baudh Bharti ◽  
P. N. Verma ◽  
J. P. Jaiswal ◽  
...  
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Path Coefficient ◽  
Genotypic Correlation ◽  
Direct And Indirect Effects ◽  
Path Coefficient Analysis ◽  
Hordeum Vulgare L ◽  
Sodic Soil ◽  
Relationship Of ◽  
1000 Grain Weight

This research sought to determine the correlations between grain yield and its contributing traits and to measure the direct and indirect effects on grain yield in barley. Sixty four released varieties were grown under par-tially reclaimed saline- sodic soil, under irrigated conditions during rabi 2010-11. The grain yield per plant showed highly significant and positive correlation with 1000 grain weight (0.517), plant height (0.460), length of main spike (0.459), fertile tillers per plant (0.385), and grains per main spike (0.366). On the basis of relationship of grain yield with yield contributing traits, we can select the best genotype and can be utilised in breeding program.

scholarly journals Genetic relationship between yield and yield components of maize

Genetika ◽  
2010 ◽  
Vol 42 (3) ◽  
pp. 529-534 ◽  
Author(s):  
Aleksandra Nastasic ◽  
Djordje Jockovic ◽  
Mile Ivanovic ◽  
Milisav Stojakovic ◽  
Jan Bocanski ◽  
...  
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Strong Association ◽  
Kernel Weight ◽  
Path Coefficient ◽  
Direct And Indirect Effects ◽  
Path Coefficient Analysis ◽  
Maize Population ◽  
Yield And Yield Components ◽  
Kernel Row Number

One of the objectives of this paper was to determine relationship between grain yield and yield components, in S1 and HS progenies of one early synthetic maize population. Grain yield was in high significant, medium strong and strong association with all studied yield components, in both populations. The strongest correlation was recorded between grain yield and 1000-kernel weight (S1 progenies rg = 0.684; HS progenies rg = 0.633). Between other studied traits, the highest values of genotypic coefficient of correlations were found between 1000-kernel weight and kernel depth in S1 population, and 1000-kernel weight and ear length in HS population. Also, objective of this research was founding the direct and indirect effects of yield components on grain yield. Desirable, high significant influence on grain yield, in path coefficient analysis, was found for 1000-kernel weight and kernel row number, and in S1 and HS progenies, and for ear length in population of S1 progenies. Kernel depth has undesirable direct effect on grain yield, in both populations.

scholarly journals Correlation and Path Coefficient Analysis of Yield and Yield Components in Toria [Brassica rapa (L)] Genotypes

2021 ◽  
Vol 10 (11) ◽  
pp. 104-115
Author(s):  
Mahendra J. L. Salam ◽  
Nety Shraddha D. P. Singh ◽  
Rakesh Singh Rohit
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Harvest Index ◽  
Significant Positive Correlation ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Quantitative Characters ◽  
Yield And Yield Components ◽  
Days To Maturity ◽  
Positive Direct

This experiment was conducted at SGCARS Jagdalpur (C.G.), to assess correlation and path coefficient for 11 quantitative characters on 60 toria genotypes including one check Indira toria. The Analysis of variance revealed highly significant differences among the genotypes for all the characters considered under study. Correlation coefficient analysis revealed significant positive correlation for the traits silique per plant and seed per siliqua both at phenotypic and genotypic level with seed yield per plant. Path analysis revealed that silique per plant had highest positive direct effect towards seed yield per plant followed by siliqua length, days to maturity, harvest index, primary branches per plant, plant height, seed per siliqua and days to 50% flowering.

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