Correlation and Path Analysis of Kernel Yield and its Components in Groundnut (Arachis hypogaea L.)

Reddy, A. Ramachandra; Sekhar, M. Reddi; Vijayabharathi, A.; Pathy, T. Lakshmi; Reddy, G. Lakshmikantha; Jayalakshmi, V.

doi:10.20546/ijcmas.2017.612.002

Cited by 8 publications

(7 citation statements)

References 4 publications

(4 reference statements)

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“…Negative high direct effect was caused by number of pods and 100 pod weight. Reddy et al (2017) reported that days to flowering had high indirect negative effect on yield through number of pods, which was observed in the present study.…”

Section: Resultssupporting

confidence: 80%

Variability, correlation and path analyse in segregating population of groundnut (Arachis hypogaeae L.)

2022

EJPB

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Two crosses in F 3 generation were studied for their variability, correlation and path analysis. The cross VRI 8 × K6 had better mean performance in all traits with very good pod and kernel yield per plant with mean of 36.59 g and 22.56 g, respectively compared to that of BSR 2 × K 6 with mean pod and kernel yield per plant of 24.95 g and 15.59 g, respectively. The cross also had high heritability of pod yield (79.45 %) and kernel yield (82.83 %) with low and moderate GAM for pod (8.87 %) and kernel yield (10.19 %), respectively. Though the crosses were in early generations, the PCV and GCV values were low to moderate for both crosses expect for the kernel yield (27.70 % & 26.71 %) in BSR 2 × K 6 and pod yield in both the crosses (23.67 % & 21.24 % in BSR 2 × K 6 and 23.73 % & 21.16 % in VRI 8 × K 6, respectively) with higher PCV, GCV values. In correlation analysis, there was a highly significant positive correlation between kernel yield and number of matured pods, number of pods, 100 pod weight, 100 kernel weight, pod yield and shelling percentage in both the crosses. Highly significant correlation was observed between shelling percentage and days to flowering in VRI 8 × K 6. Similarly, in BSR 2 × K 6, shelling percentage and 100 kernel weight were highly significantly correlated. Path analysis revealed that, there was a high positive direct effect on kernel yield by 100 kernel weight and pod yield in both the crosses. Shelling percentage in VRI 8 × K 6 had a negligible positive direct effect on the yield. Thus, on the basis of correlation and path analysis, 100 kernel weight, number of matured pods, shelling percentage, pod yield per plant were proved to be the outstanding characters influencing kernel yield in groundnut and need to be given importance in selection to achieve higher kernel yield.

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Section: Resultssupporting

confidence: 80%

Variability, correlation and path analyse in segregating population of groundnut (Arachis hypogaeae L.)

2022

EJPB

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“…Shelling percentage exhibited a positive direct effect on pod yield per plant (4.22) while the correlation with pod yield per plant was also positive and significant (0.819). Similar findings are seen with Korat et al (2010), Zaman et al (2011), Shoba et al (2012 and Reddy et al (2017a and2017b). Hundred kernel weight had direct negative phenotypic effect (-1.825) on pod yield per plant.…”

Section: Path Coefficient Analysissupporting

confidence: 87%

Principal Component Analysis and Path Coefficient Analysis for Groundnut Yield and Seed Quality Attributes (Arachis hypogaea L.)

Sukrutha¹,

Reddy²,

Madhuri³

et al. 2023

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Background: A complex quantitative characteristic yield is heavily impacted by the environment. The productivity of groundnut can be increased less effectively through direct selection for grain yield. The current study aimed to study the variation among diverse groundnut genotypes. Methods: Phenotypic data was collected on seven quantitative and six qualitative characters for 24 genotypes under study carried out in randomised block design (RBD). GRAPES software has been used for analysis. Result: Analysis of variance revealed significant differences among the genotypes for all the characters indicating the prevalence of ample genetic variability within the genotypes. Significant positive associations were observed for primary branches, secondary branches, 100-pod weight, shelling per cent, protein and zinc content. Path analysis revealed that plant height, primary branches per plant, hundred pod weight, shelling percent, protein content and zinc content are the most important characters which could be used as selection criteria for effective improvement of pod yield. Using GRAPES software, Fourteen Principal components are extracted based on mean values of which the first five PCs showed 73.24% variation with eigen values more than 1. Biplot constructed by Principal component analysis revealed Hundred pod weight and hundred kernel weight as important traits for study.

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“…These results indicated that gamma rays doses effect on this trait by additive gene action and this genetic variation transmit from the parents to progeny, also this trait at this treatments can easy be fixed in the genotypes by the selection in early generation. These results are confirmed with Kyaw et al (2017), Reddy et al (2017), andShankar et al (2018), refer to insure that selection for high yield is more effective if based on these characters in pea and the importance of additive genetic action.…”

Section: -100-seed Weightsupporting

confidence: 69%

“…Finally, in general the genotypic correlation coefficients were mostly higher than the phenotypic correlation coefficients indicating strong inherent association among the studied characters. Many researchers obtained similar results (Babariya and Dobariya, 2012;Ashutosh et al, 2016;Thirumala Rao, 2016;Rajarathinam et al, 2017;Reddy et al, 2017;Shankar et al, 2018).…”

Section: Iii-phenotypic (Rp) Correlation Coefficient Among Eight Characters In M1 and M2 Generations Of Peanut Varieties Treated By Gammamentioning

confidence: 73%

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Genetic Improvement for Yield and Its Components through Induced Chemical and Physical Mutagenesis in Peanut (Arachis Hypogaea L.)

Aly

Salama²

2021

Journal of Plant Production Sciences

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Four cultivars of peanut were used in this work namely NC9, Gregory, Bold, and Runner. This work aimed to study the induction of genetic variation in peanut using Sodium azide (NaN 3 ; Mw=65.01) with two doses (1×10 -3 ) and (3×10 -3 ) and three doses of Gamma rays (10, 30 and 50kr) to induce mutagenesis. M1 and M2 seeds per dose for each genotype including the control were sown in a randomized complete block design (RCBD) with three replications in 2017 and 2018 summer seasons. Analysis of variance showed that there were significant differences between genotypes under sodium azide and gamma rays for most studied traits in M1 and M2 generations. Number of primary branches was significantly affected by sodium azide concentrations, however all genotypes gave low number of primary branches under 0.003M than other treatments in both generations. Gregory and NC9 cultivars under Gamma rays had the high number of branches/plant in M1 and M2 generation when treated with 0.001M compared with 0.003M. The average of plant height was affected by radiation mutagen and higher the effect of sodium azide mutagen in both generations. 100-seed weight was affected significantly by sodium azide mutagen more than those by radiation mutagen in both generations. Maximum values of seed yield/plant were recorded for the NC9 followed by Gregory in both generations. NC9 and Gregory had the maximum values of seed yield/plant, when they treated by 0.001m in both generations. Mean values of oil content were increased significantly with increasing concentration of gamma rays doses in M1 and M2 at 10kr, 30kr and 50kr, respectively compared with control. The Bold cultivar had the highest values 51.34% and 50.39% and runner cultivar with values 49.02 and 49.66, when they treated with 50 kr and 30kr in M1 generation. The Runner and NC9 gave the high values for yield and its components and oil content of most genetic parameters under different mutagens in M1 and M2 generations for the most studied traits. The results of heritability, showed moderate to high values for most characters under studied in different mutagens in M1 and M2 generations. Pod yield/plant under the effect of sodium azide appears high positive correlation coefficients with each of seed yield/plant (0.869 and 0.928) during two the generations and 100-seed weight (0.643) in M1 generation.

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Correlation and Path Analysis of Kernel Yield and its Components in Groundnut (Arachis hypogaea L.)

Cited by 8 publications

References 4 publications

Variability, correlation and path analyse in segregating population of groundnut (Arachis hypogaeae L.)

Variability, correlation and path analyse in segregating population of groundnut (Arachis hypogaeae L.)

Principal Component Analysis and Path Coefficient Analysis for Groundnut Yield and Seed Quality Attributes (Arachis hypogaea L.)

Genetic Improvement for Yield and Its Components through Induced Chemical and Physical Mutagenesis in Peanut (Arachis Hypogaea L.)

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