Correlation and Path Coefficient Analysis for Grain Yield and Yield Components in Chickpea (Cicer arietinum L.) under Normal and  Late Sown Conditions of Bihar, India

Agrawal, Tejashwini; Kumar, Anand; Kumar, Sanjay; Kumar, Anil; Kumar, Ravi Ranjan; Kumar, Sanjeev; Singh, Prem

doi:10.20546/ijcmas.2018.702.197

Cited by 20 publications

(18 citation statements)

References 5 publications

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“…The lowest direct effect was estimated with the NSP and 0.15, followed by DF, HFP and NPP. The results partially agree with those reported by Bezerra et al (2001); Meena et al (2015) and Agrawal et al (2018) in regards to the low contribution of these characteristics to grain yield at the phenotypic level.…”

Section: Path Analysissupporting

confidence: 91%

“…Only four phenotypic correlations and 10 genotypic correlations were significant out of a total of 21 for each one. In general, the coefficients of genotypic correlations were of greater magnitude than the phenotypic ones, and, because of their greater genetic contribution (Silva and Neves, 2011;Ullah et al, 2011;Agrawal et al, 2018) they allowed better selection. In addition, not all characteristics were significantly correlated, which is consistent with the report by Bezerra et al (2001) and Meena et al (2015).…”

Section: Correlationsmentioning

confidence: 99%

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Correlations and path analysis for quantitative characteristics in semi-prostrate cowpea bean genotypes (Vigna unguiculata (L.) Walp)

Araméndiz-Tatis¹,

Camacho²,

Ayala³

2020

Rev. Colomb. Cienc. Hortic.

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The cowpea is the most important legume in the Colombian Caribbean, due to its positive impact on the food and nutritional security of low-income rural families. It is cultivated by small producers, but its yields per hectare do not exceed 600 kg, due to the use of obsolete cultivars. The objective of the research was to estimate the correlations between seven quantitative characters and the path analysis between grain yield and six quantitative characters, with the results of the evaluation of 10 genotypes of semi-prostrate growth habit, high grain yield, grown in eight environments of the humid and dry tropics of the Colombian Caribbean region, under the randomized complete blocks design, with four repetitions. Significant differences between environments, genotypes and genotype x environment interaction were detected. Genotypic correlations were of greater magnitude than phenotypic, highlighting the correlation between grain width (GW) and grain yield (GY), rP = 0.69 *, rG = 0.78 *, also between the weight of 100 seeds (100SW) and GW, rP = 0.97 **, rG = 0.99 **. The characters GW and number of pods per plant (NPP) had positive direct effects on the GY, with an indirect negative effect of NPP by way of GW, while the height of the first pod (HFP), the number of seeds per pod (NSP) and the 100SW directly and negatively influenced the GY of the 10 semi-prostrate cowpea cultivars.

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Section: Path Analysissupporting

confidence: 91%

Section: Correlationsmentioning

confidence: 99%

Correlations and path analysis for quantitative characteristics in semi-prostrate cowpea bean genotypes (Vigna unguiculata (L.) Walp)

Araméndiz-Tatis¹,

Camacho²,

Ayala³

2020

Rev. Colomb. Cienc. Hortic.

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“…Yield and yield contributing parameters are the most widely targeted traits for chickpea improvement programme worldwide. Yield is a complex trait which is affected by several factors and environment, hence, a wellknown technique known as principal component analysis was used to identify and minimize the number of traits for effective selection [2]. PCA is a standard tool in modern data analysis because it is a simple, non-parametric method for extracting relevant information from confusing data sets.…”

Section: Introductionmentioning

confidence: 99%

Principal Component Analysis in Desi Chickpea (Cicer arietinum L.) under Normal Sown Condition of Bihar

Rajani

Kumar

et al. 2020

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Chickpea (Cicer arietinum L.) is the second most important food legume crop after common bean (Phaseolus vulgaris L.). It is one of the most important rabi pulse crop in India and contributes to 20% of the total pulse production in the world. India ranks first in chickpea production in the world followed by Australia, Myanmar and Pakistan. It is one of the major pulse crops in Bihar. The present investigation was undertaken using forty genotypes of desi chickpea sown in a randomized block design with three replications at the Pulse research model Bhitti farm of Bihar Agricultural University, Sabour (Bhagalpur) during Rabi, 2016-17 to determine the contribution of six morphological traits to the total variability in desi chickpea using Principal component analysis. In the present investigation PCA was performed for six quantitative traits of chickpea. Out of six, only 2PCs exhibited more than 1.0 Eigen value and showed about 79.86% variability. Therefore, these 2 PCs were given due important for the further explanation. The PC1 showed 28.96% variability among traits, while PC II, PC III and PC IV exhibited 21.93%, 16.35% and 13.87% variability respectively.PC1 contributed 28.96% of the total variation and correlated with days to 50% flowering, days to maturity and 100-seed weight while PC2 explained an additional 21.93% of the total variation and dominated by plant height, grain yield per plot, days to maturity, days to 50% flowering and number of pods per plant. Since, a total of 50.91% of the total variation was contributed by PC1 and PC2, therefore, these two principal components can be allowed for simultaneous selection of yield contributing traits in desi chickpea. Genotype commonly found in more PC, were KWR108, JG2016-44, Sabour chana-1, IPC 2013-21, HI12-63, AKG1303, PG214J and RKG13-380. Similar type of genotypes on a common principal component permitting to designate them as seed yield factors. These genotypes may further be utilized in breeding programmes for improving seed yield and these genotypes can be considered an ideotype breeding material for selection of traits viz. more total number of seed per plant and 100-seed weight further utilization in precise breeding programme.

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“…4), which indicated that the relationship between the variables was based on additive genetic effects. Preliminary results have been reported by Andrade et al (2010) and Silva et al (2014) in cowpea beans and by Agrawal et al (2018) in chickpeas, who argued that phenotypic selection can be efficient.…”

Section: Correlationsmentioning

confidence: 84%

“…The study of the interrelation between several characters in the form of correlation is one of the very important aspects in the genetic improvement of plants, so that the breeder is very efficient in selections based on correlation and uncorrelated responses (Agrawal et al, 2018).…”

Section: Correlationsmentioning

confidence: 99%

Heritability, genetic gain, and correlations in cowpea bean (Vigna unguiculata [L.] (Walp.)

Araméndiz-Tatis

Ayala

Camacho

2021

Rev. Colomb. Cienc. Hortic.

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Cowpea beans are the most important legume in the Caribbean region of Colombia. This grain is produced mainly by small farmers in rural agriculture but is becoming more important every year for commercial agriculture. The objective of this study was to estimate heritability, genetic gain and correlations between agronomic characteristics and the nutritional content of 30 cowpea bean cultivars. The number of days to flowering (NDF), number of pods per plant (NPP), number of pods per peduncle (NPPE), peduncle length (PEL), number of nodes on main stem (NNMS), grain length (GL), grain width (GW), weight of 100 seeds (W100S), iron content (FeC), zinc content (ZnC), protein content in percentage (PROT) and YIELD were evaluated. Likewise, the genetic parameters: phenotypic coefficient of variation (PCV), genotypic coefficient of variation (GCV), variability index (b), heritability [(h2 (%)], genetic gain (GG) and genetic progress (%), together with phenotypic correlations and genetic correlations, were determined. Genetic variability was evidenced in the population (P<0.05), except for PEL. The highest heritability was in W100S, ZnC and FeC (h2A> 96%). The greatest advance was achieved in ZnC, FeC, W100S and YIELD, with values higher than 30%, indicating the potential use of the evaluated genotypes for improving this species and positive and significant phenotypic and genotypic correlations between YIELD and PROT. Therefore, cultivars with higher yields and protein contents can be obtained.

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Correlation and Path Coefficient Analysis for Grain Yield and Yield Components in Chickpea (Cicer arietinum L.) under Normal and Late Sown Conditions of Bihar, India

Cited by 20 publications

References 5 publications

Correlations and path analysis for quantitative characteristics in semi-prostrate cowpea bean genotypes (Vigna unguiculata (L.) Walp)

Correlations and path analysis for quantitative characteristics in semi-prostrate cowpea bean genotypes (Vigna unguiculata (L.) Walp)

Principal Component Analysis in Desi Chickpea (Cicer arietinum L.) under Normal Sown Condition of Bihar

Heritability, genetic gain, and correlations in cowpea bean (Vigna unguiculata [L.] (Walp.)

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