Research Article
Genetic Variability and Path Analysis of Chickpea (Cicer arientinum L.) Landraces and Lines

M. Farshadfar and E. Farshadfar

Journal of Applied Sciences, 2008, 8(21), 3951-3956.

Abstract

Identifying suitable parental materials is an important phase in the development of hybrid seeds. Thus, a study was conducted to determine the genetic variability among 360 chickpea land races and lines. Appropriate parents selected from a pool of genes of 360 chickpeas which was carried out during the year 2000-2001 in DARI, Sararoud of Iran. The experiment included 12 blocks, each contains 20 plots of 2 m rows. The traits studied were growth type, number of leaflet per leaf, leaflet size, plant height, days taken for 50% flowering, flower color, flowering period, days to maturity, pod size, pod per plant, seed numbers per pod, seed color, seed shape and 100 seed weight. Data based on morphological and phonological traits were analyzed using SPSS software and the statistical procedures: correlation coefficient, cluster analysis, principal component analysis and path analysis. Among the morphological characters, numbers of branches, pod numbers with CV: 41.77 and 37.25% had higher variation, respectively while leaflet with CV: 10.49% had minimum variation. Among the phonological traits the flowering period with CV: 22.02% had highest and flowering time had the least variability. The seed yield per plant ranged from 4.27 to 0.41 g and CV: 51.43% reflected highest variation. The highest correlation coefficient (r = 0.78) was between seed yield per plant and pod numbers. Chickpeas genotypes could be classified into four clusters and 63% of the variance were explained by five PCAs. Path analysis revealed that the pod numbers with 0.745, seed numbers with 0.386, 100 seed weight with 0.268 and single seed with 0.267 had highest direct effect on seed yield.

ASCI-ID: 35-2640

Cited References Fulltext

Similar Articles


Inheritance of Drought Tolerance in Chickpea (Cicer arietinum L.) Using Joint Scaling Test

Journal of Applied Sciences, 2008, 8(21), 3931-3937.

Preliminary Assessment of Rare Earth Element Contents of Niger Delta Oils

Journal of Applied Sciences, 2006, 6(1), 11-14.

Multivariate Classification of China’s Regional Energy Consumption Pattern

Journal of Applied Sciences, 2009, 9(14), 2576-2583.

Genetic Variability among Lucerne Cultivars Based on Biochemical (SDS-PAGE) and Morphological Markers

Journal of Applied Sciences, 2008, 8(10), 1867-1874.

Recognition of Tehran Weather Types

Journal of Applied Sciences, 2009, 9(18), 3326-3334.

Comprehensive Evaluation on Profitability of the Listed Airlines in China

Journal of Applied Sciences, 2013, 13(9), 1443-1448.

Evaluation on Regional Agri-food Cold Chain Logistics Competitiveness

Journal of Applied Sciences, 2013, 13(14), 2670-2675.

Analysis on Differences of Public Medical Institutions' Medical Expenses in Qingdao

Journal of Applied Sciences, 2014, 14(10), 1088-1092.

Comparison of Different Methods of Evaluating Genotypes in National Uniformity Wheat Yield Trials in Pakistan

Journal of Applied Sciences, 2003, 3(6), 385-390.

Evaluating the Performance of 16 Egyptian Wheat Varieties Using Self-Organizing Map (SOM) and Cluster Analysis

Journal of Applied Sciences, 2016, 16(2), 47-53.

A New Accident Investigation Approach Based on Data Mining Techniques

Journal of Applied Sciences, 2009, 9(4), 731-737. DOI:

Distributed Data Clustering Using Expectation Maximization Algorithm

Journal of Applied Sciences, 2009, 9(5), 854-864. DOI:

Assessment of Genetic Variability and Identification of Fertility Restoration Genes Rf3, Rf4 of WA-CMS in RILs Population of Rice

Journal of Applied Sciences, 2019, 19(3), 199-209.

Multivariate Analysis of Mash Data

Journal of Applied Sciences, 2005, 5(1), 113-117.

Cited By


Comparative study on growth and development of some accessions of local Germplasm of Bambara groundnut (Vigna subterrenea L. Verdc.) of Nigeria in two cropping seasons

Journal of Crop Science and Biotechnology, 2010, 13(1), 21. DOI: 10.1007/s12892-009-0126-4

Inter Simple Sequence Repeats Reveal Significant Genetic Diversity Among Chickpea (Cicer arietinum L.) Genotypes

Journal of Plant Sciences, 2011, 6(5), 202. DOI: 10.3923/jps.2011.202.212

Assessment of phenotypic diversity in bitter vetch (Vicia ervilia (L.) Willd.) populations

Genetic Resources and Crop Evolution, 2018, 65(1), 355. DOI: 10.1007/s10722-017-0539-8

Phenotypic variability, path analysis and molecular diversity analysis in chickpea (Cicer arietinum L.)

Vegetos, 2019, 32(2), 167. DOI: 10.1007/s42535-019-00020-9

Morphological, biochemical and molecular characterization for genetic variability analysis of Capsicum annuum

Vegetos, 2019, 32(2), 131. DOI: 10.1007/s42535-019-00016-5

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

Cogent Food & Agriculture, 2020, 6(1), 1806668. DOI: 10.1080/23311932.2020.1806668

Grain Legumes

Handbook of Plant Breeding, 2015, 10(), 85. DOI: 10.1007/978-1-4939-2797-5_3

Genetic diversity of Sesame (Sesamum indicum L) using high throughput diversity array technology

Journal of Crop Science and Biotechnology, 2022, 25(4), 359. DOI: 10.1007/s12892-021-00137-x

Molecular Assessment of Wild and Cultivated Cicer Species Using Issr Markers

SSRN Electronic Journal, 2022, (), . DOI: 10.2139/ssrn.4109422

Multivariate analysis and selection indices to identify superior cultivars and influential yield components in chickpea (Cicer arietinum L.)

Plant Genetic Resources: Characterization and Utilization, 2022, 20(5), 348. DOI: 10.1017/S1479262123000242

Evaluation and identification of advanced inter-specific derivatives from crosses of Cicer arietinum with C. reticulatum and C. echinospermum for agro-morphological, quality traits and disease resistance

Frontiers in Plant Science, 2024, 15(), 1461280. DOI: 10.3389/fpls.2024.1461280

Genetic architecture of yield and yield contributing traits in chickpea (Cicer arietinum L.)

Discover Agriculture, 2024, 2(1), 65. DOI: 10.1007/s44279-024-00063-w

Clustering based on morphological marker through linear discriminant analysis targeting potent yield enhancers in mini-core collections of chickpea (Cicer arietinum L.)

Vegetos, 2023, 37(6), 2330. DOI: 10.1007/s42535-023-00716-z

Studies on Genetic Parameters, Heritability, and Path Analysis Under Irrigated and Rainfed Conditions in Chickpea

Plant Molecular Biology Reporter, 2025, 43(3), 1193. DOI: 10.1007/s11105-025-01534-0

A Study on Nitrogen, Oil, and Fatty Acid Efficiency and Path Analysis in Paper-Skinned Pumpkin

Journal of Crop Breeding, 2025, 17(3), 124. DOI: 10.61882/jcb.2024.1593

Molecular assessment of wild and cultivated Cicer species using ISSR markers

Ecological Genetics and Genomics, 2022, 25(), 100137. DOI: 10.1016/j.egg.2022.100137