Genetic Variability, Correlation and Path Co-Efficient Analysis for Agronomic Traits in Chickpea (&lt;i&gt;Cicer arietinum&lt;/i&gt; L.)

Saki, AI; Zaman, M. A.; Tuhina-Khatun, M; Kamal, MM; Begum, Hasna Hena

doi:10.3329/agric.v7i1.5248

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…This variation was not only genetic but also was influenced by the growing environment. Malik et al (1988) ; Arshad et al (2004) , Barshile and Apparao (2009) , and Saki et al (2009) have reported similar results in chickpea. Similar results in the M 2 generation of mung bean ( Vigna radiata L.) and black gram ( Vigna mungo L. Hepper) have been reported ( Roychowdhury et al, 2012 ; Usharani and Ananda Kumar, 2016 ).…”

Section: Discussionmentioning

confidence: 73%

Genetic Variability Induced by Gamma Rays and Preliminary Results of Low-Cost TILLING on M2 Generation of Chickpea (Cicer arietinum L.)

et al. 2018

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In order to increase genetic variability for chickpea improvement, the Kabuli genotype, variety Ghab4, was treated with 280 Grays of gamma rays (Cobalt 60). Field characterization began with the M2 generation. A total of 135 M2 families were sown in the field resulting in approximately 4,000 plants. Traits related to phenology (days to flowering, days to maturity), plant morphology of vegetative parts (plant height, height of first pod, number of primary branches per plant) and yield (number of seeds per pod, total number of pods per plant, total number of seeds per plant, seed yield and hundred seed weight) were recorded and analyzed to evaluate genetic variability. An evaluation of the efficacy of low-cost TILLING (Targeting Induced Local Lesions IN Genomes) to discover mutations in the M2 generation was undertaken. Mutation screening focused on genes involved in resistance to two important diseases of chickpea; Ascochyta blight (AB) and Fusarium wilt (FW), as well as genes responsible for early flowering. Analysis of variance showed a highly significant difference among mutant families for all studied traits. The higher estimates of genetic parameters (genotypic and phenotypic coefficient of variation, broad sense heritability and genetic advance) were recorded for number of seeds per plant and yield. Total yield was highly significant and positively correlated with number of pods and seeds per plant. Path analysis revealed that the total number of seeds per plant had the highest positive direct effect followed by hundred seed weight parameter. One cluster from nine exhibited the highest mean values for total number of pods and seeds per plant as well as yield per plant. According to Dunnett’s test, 37 M2 families superior to the control were determined for five agronomical traits. Pilot experiments with low-cost TILLING show that the seed stock used for mutagenesis is homogeneous and that small mutations do not predominate at the dosage used.

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Section: Discussionmentioning

confidence: 73%

Genetic Variability Induced by Gamma Rays and Preliminary Results of Low-Cost TILLING on M2 Generation of Chickpea (Cicer arietinum L.)

et al. 2018

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“…The remaining characters showed low (<10%) GCV and PCV values. Saki et al (2009) also investigate the highest genotypic and phenotypic coefficient values from grain yield (52.53% and 57.40%), and number of branch per plant (39.43% and 46.17%), respectively.…”

Section: Variance Components and Coefficients Of Variationmentioning

confidence: 99%

“…The lowest GAM was obtained for harvest index and number of seed per pod (Table 4). Saki et al (2009) investigate the highest genetic advance as percent of mean from grain yield (97.83), number of pod per plant (88.97) and number of branch per plant (69.39). Chauhan (2011) reported high expected genetic advance for observed characters of grain yield, above ground biomass, hundred seed weight and total pod per plant that coincide with the present investigation.…”

Section: Estimates Of Expected Genetic Advancementioning

confidence: 99%

Genetic variability and association analysis of Desi-type chickpea (Cicer arietinum L.) advanced lines under potential environment in North Gondar, Ethiopia

Tsehaye

Fikre

Bantayhu

2020

Cogent Food & Agriculture

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The success of good breeding program usually depends upon the genetic variability present in the breeding materials, however, spatial and temporal studying on the amount, kind and magnitude of variability as well as genetic relationship of traits are not efficiently exploited yet. The present investigation was designed to assess the extent of variability, genetic advance, heritability and interrelation of different traits of 100 chickpea genotypes using triple lattice design in Takusa district, North Gondar, Ethiopia, during 2018/19 main cropping season. The examined genotypes were highly significant for all studied traits. The magnitude of genotypic and phenotypic coefficient of variation indicated the presence of variability among advanced lines. The trait above ground biomass exhibited the highest range of variability followed by grain yield, number of pods per plant, hundred seed weight, days to flowering and days to maturity. The highest estimates of genotypic and phenotypic coefficient of variation were exhibited grain yield followed by number of pods per plant, number of secondary branches per plant, above ground biomass, and harvest index. The highest broad sense heritability coupled with high Amare Tsehaye ABOUT THE AUTHORThe Author was born on 03, October 1988 in North Gondar of Amhara Regional State, Ethiopia. As soon as he reached the age for schooling, he attend his education and joined Debre Birehan University and graduate with B.Sc. degree in plant science. Soon after, the Author was employed at Amhara Agricultural Research Institute (AARI), Gondar agricultural research center, North Gondar, Ethiopia, as sorghum and chickpea breeder. Now he completed his master of science in plant breeding at Bahir Dar University and working as chickpea breeder at Amhara Agricultural Research Institute, Ethiopia. During his stay he had generated more than 10 research proposals and published more than 3 research activities in Known journals.

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“…However, the low magnitude of GCV and PCV was observed for days to physiological maturity (6.52%, 6.70%), SCMR (6.03%, 8.18%), the number of primary branches per plant (4.84%, 8.56%), seed diameter (4.61%, 5.56%), Water absorption after soaking (4.84%, 6.57%), volume expansion after soaking (7.02%, 7.84%) and cooking time for raw seeds (8.11%, 8.41%) which indicated that the breeders should go for source of high variability for these traits to make improvement. Low GCV and PCV for days to physiological maturity was supported by Jeena et al (2005), Saki et al (2009), Akhtar et al (2011) and for number of primary branches per plant was repoted by Ali et al (2010), Hagos et al (2018).…”

Section: Phenotypic Variance ( ) = Genotypic Variance Genetic Advancementioning

confidence: 87%

Genetic variability studies in extra large and large seeded kabuli chickpea (Cicer arietinum)

Manasa

Priya²,

Jayalakshmi³

et al. 2020

EJPB

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Thirty kabuli chickpea genotypes were evaluated in a randomized block design with three replications. Analysis of variance revealed significant genotypic differences for all the nineteen characters with wide range of variability. Estimates of genotypic and phenotypic co-efficients of variation were high for number of pods per plant and number of seeds per plant. High heritability accompanied with high genetic advance was shown by days to 50% flowering, plant height, the number of pods per plant, the number of seeds per plant, 100 grain volume, cooking time for soaked seeds, 100 seed weight, shoot biomass per plant, harvest index and seed yield per plant which indicated that the heritability is due to additive gene effects and selection of plants can be done directly on the basis of phenotypic expression of these characters.

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Genetic Variability, Correlation and Path Co-Efficient Analysis for Agronomic Traits in Chickpea (<i>Cicer arietinum</i> L.)

Cited by 4 publications

References 3 publications

Genetic Variability Induced by Gamma Rays and Preliminary Results of Low-Cost TILLING on M2 Generation of Chickpea (Cicer arietinum L.)

Genetic Variability Induced by Gamma Rays and Preliminary Results of Low-Cost TILLING on M2 Generation of Chickpea (Cicer arietinum L.)

Genetic variability and association analysis of Desi-type chickpea (Cicer arietinum L.) advanced lines under potential environment in North Gondar, Ethiopia

Genetic variability studies in extra large and large seeded kabuli chickpea (Cicer arietinum)

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