Genetic Studies for Detection of Most Diverse and High Yielding Genotypes among Chickpea (Cicer arientinum L.) Germplasm

Abstract

Recently chickpea is being grown in more than 50 countries of the world (Tsehaye et al., 2020). Pakistan ranks 3 rd in chickpea producing countries but far below than world's average chickpea productivity per Abstract | Genetic variation occurring naturally in germplasm is highly valuable resource of alleles that can be deployed for genetic improvement of a species. Screening of available genetic stock for detection of most diverse and high yielding genotypes is a pre requisite for a successful crop breeding program. For this purpose, a research experiment comprising of sixty-eight elite chickpea germplasm genotypes along with two commercial varieties were sown under tri-replicate randomized complete block design during the winter season of 2020-21. D 2 statistics, principle component analysis and cluster analysis were employed to detect the most genetically variable and high yielding chickpea genotypes. D 2 statistics extracted higher values for standard deviation and coefficient of variation indicating that the studied genotypes possess considerable amount of genetic variation in performance of studied different traits. Principle component analysis distinguished the traits into eight components. Results revealed that PC1 and 2 extracted >1 Eigen values explaining that these components have major contribution in genetic variability. Cluster analysis distributed the genotypes into four distinguished clusters. Agglomerative dendrogram of genotypes was constructed by Ward's method. On the basis of Euclidean distance it was observed that members of cluster 3 (G.

Evaluation of genetic diversity analysis in Cicer arietinum L. germplasm based on multivariate analysis

“…The secondary Branches/Plant, Days to Maturity and had highest negative weight on this component. Our ndings agree to the previous nding ofSingh et al, (2021) andMahmood et al, (2022).…”

Study of Genetic Variability in Chickpea Germplasm and Its Contribution Towards Genetic Advancement

“…Chickpea is a self-pollinated, diploid species that has paramount importance in pulses. It is the third most important grain in the world being rich in crude protein (15-22%), carbohydrates (50-58%), minerals (Calcium, Iron, and Magnesium), Vitamins (B1, B2, B3, B6, B9) and different important nutrients (Mahmood et al, 2021;Rashid et al, 2021). Based on seed morphology there are two main chickpea groups i.e.…”

“…J., 2024: 798. doi: https://doi.org/10.54112/bcsrj.v2024i1.798] 2 (Nadeem et al ., 2019). This huge gap in yield potential is because of some limiting factors like lack of germplasm of stable genotype, low genetic base of genotypes, biotic and abiotic factors (Mahmood et al, 2021). One of the most important factors for the low yield of chickpea is limited or lack of genetic variability (Johnson et al, 2015).…”

“…Therefore, this study was designed to assess genetic variability in chickpea genotypes. Principal component analysis (PCA) and cluster analysis have been used by many scientists (Mahmood et al, 2021;Farshadfar, 2018;Zubair et al, 2017) for the estimation of genetic variability and identification of most diverse genotypes and traits contributed towards genetic diversity. D 2 Statistics proposed by Mahalanobis in 1936 was used by scientists for the estimation of genetic divergence/variability (Mahmood et al, 2021;Rafiq et al, 2020).…”

“…Principal component analysis (PCA) and cluster analysis have been used by many scientists (Mahmood et al, 2021;Farshadfar, 2018;Zubair et al, 2017) for the estimation of genetic variability and identification of most diverse genotypes and traits contributed towards genetic diversity. D 2 Statistics proposed by Mahalanobis in 1936 was used by scientists for the estimation of genetic divergence/variability (Mahmood et al, 2021;Rafiq et al, 2020). The major purpose of this study was to identify the genotypes with desirable genetic makeup after generating information about the contribution of different yield-related traits towards genetic variability.…”