International network for natural sciences – research journal
  • mendeley icon
  • linkedin icon
  • google plus icon
  • twitter icon
  • google scholar icon
  • facebook icon

The potential role of quantitative traits for understanding the genetic diversity in Sorghum (Sorghum bicolor L.)

By: Muhammad Ihsan Ullah, Zaib-un-Nisa, Barkat Ali, Guljana Nazir, Muhammad Zeeshan Munir, Muhammad Amir Siddique, Arif Hussain, Dilawar Khan, Muhammad Atif Muneer

Key Words: Cluster analysis, Dendrogram, PCA, Genetic diversity, Morphological traits, Sorghum.

Int. J. Biosci. 16(6), 185-195, June 2020.


Certification: ijb 2020 0039 [Generate Certificate]


Sorghum is a popular cereal crop worldwide, and therefore, the understanding and utilization of sorghum accessions play role crucial for improving crop productivity.  The in-depth knowledge of genetic variation between the sorghum accessions will allow the plant breeder for precise breeding.  Thus, exploration of sorghum crop genetic diversity is inevitable. In this study, we investigated the genetic diversity among the thirty sorghum accessions by using the quantitative morphological traits. The findings were concluded on the basis of ten quantitative traits, among which 07 diverse quantitative traits which maximized the variation, chosen carefully for genetic diversity analysis. We found a significant positive correlation of stalk yield with days to flowering and no. of leaves per plant. Similarly, for grain yield with no. of leaves per plant and panicle width. The PCA revealed that days to flowering, plant height, panicle width, and leaf area contributed maximum towards the divergence. Sorghum accessions were grouped under 4 clusters by using hierarchical analysis. Cluster-2 contained minimum while cluster-4 had maximum number of sorghum accessions. The maximum inter-cluster distance was recorded between cluster-2 and cluster-4. The cluster-4 had the highest mean values for no. of leaves per plant, stalk yield, and days to maturity. Therefore, parent selection must be dependent on best yield related components and wider inter-cluster distance. Therefore, in current study, the quantitative morphological traits showed the broader genetic diversity range among the thirty sorghum accessions, and can be utilized effectively for the improvement of genetic architecture.

| Views 7 |

| Views 7 |

The potential role of quantitative traits for understanding the genetic diversity in Sorghum (Sorghum bicolor L.)

Adugna A. 2014. Analysis of in situ diversity and population structure in Ethiopian cultivated Sorghum bicolor (L.) landraces using phenotypic traits and SSR markers. Springer Plus 3(1), 212.

Assar AHA, Uptmoor R, Abdelmula AA, Wagner C, Salih M, Ali AM, Ordon F, Friedt W. 2020. Assessment of sorghum genetic resources for genetic diversity and drought tolerance using molecular markers and agro-morphological traits. University of Khartoum Journal of Agricultural Sciences 17(1).

Ayana A, Bekele E. 1998. Geographical patterns of morphological variation in sorghum (Sorghum bicolor (L.) Moench) germplasm from Ethiopia and Eritrea: qualitative characters. Hereditas 129, 195-205.

Bibi A, Sadaqat HA, Akram HM, Mohammed MI. 2010. Physiological markers for screening sorghum (Sorghum bicolor) germplasm under water stress condition. International Journal of Agriculture and Biology 12, 451-455.

Dahlberg J, Zhang X, Hart G, Mullet J. 2002. Comparative assessment of variation among sorghum germplasm accessions using seed morphology and RAPD measurements. Crop Science 42, 291-296.

Hariprasanna K, Patil J. 2015. Sorghum: origin, classification, biology and improvement, Sorghum molecular breeding. Springer, p 3-20.

Hart G, Schertz K, Peng Y, Syed N. 2001. Genetic mapping of Sorghum bicolor (L.) Moench QTLs that control variation in tillering and other morphological characters. Theoretical and Applied Genetics 103, 1232-1242.

Iqbal A, Sadia B, Khan A, Awan F, Kainth R, Sadaqat H. 2010. Biodiversity in the sorghum (Sorghum bicolor L. Moench) germplasm of Pakistan. Genetics and Molecular Research 9, 756-764.

Jayaramachandran M, Kumaravadivel N, Kandasamy G, Eapen S. 2011. Comparison of genetic variability induced by γ radiation and tissue culture in sorghum. International journal of Bio-resource and Stress Management 2, 329-333.

Khan A, Nawab K, Khan A, Islam B. 2007. Growth characters and fodder production potential of sorghum varieties under irrigated conditions. Sarhad Journal of Agriculture (Pakistan).

Kisua J, Mwikamba K, Makobe M, Muigai A. 2015. Genetic diversity of sweet and grain sorghum populations using phenotypic markers. International Journal of Biosciences 6, 34-46.

Kong L, Dong J, Hart G. 2000. Characteristics, linkage-map positions, and allelic differentiation of Sorghum bicolor (L.) Moench DNA simple-sequence repeats (SSRs). Theoretical and Applied Genetics 101, 438-448.

Li R, Zhang H, Zhou X, Guan Y, Yao F, Song G, Wang J, Zhang C. 2010. Genetic diversity in Chinese sorghum landraces revealed by chloroplast simple sequence repeats. Genetic Resources and Crop Evolution 57, 1-15.

Makanda I, Derera J, Tongoona P, Sibiya J. 2012. Genetic and GGE biplot analyses of sorghum

germplasm for stem sugar traits in Southern Africa. African Journal of Agricultural Research 7, 212-223.

Mumtaz A, Hussain D, Saeed M, Arshad M. Yousaf MI. 2018. Estimation of genetic diversity in sorghum genotypes of Pakistan. Journal of the National Science Foundation of Sri Lanka 46.

Rao SA, Rao KP, Mengesha M, Reddy VG. 1996. Morphological diversity in sorghum germplasm from India. Genetic Resources and Crop Evolution 43, 559-567.

Raza A, Mehmood SS, Ashraf F, Khan RSA. 2019. Genetic diversity analysis of Brassica species using PCR-based SSR markers. Gesunde Pflanzen 71, 1-7.

Reddy BV, Ashok Kumar A, Sanjana Reddy P. 2008. Genetic improvement of sorghum in the semi-arid tropics. Genetic improvement of sorghum in the semi-arid tropics, 105-123.

Rohman M, Hakim M, Sultana N, Kabir M, Hasanuzzan M, Ali M. 2004. Genetic divergence analysis in sorghum (Sorghum bicolor L.). Asian Journal of Plant Sciences 3, 211-214.

Shegro A, Labuschagne MT, van Biljon A, Shargie NG. 2013. Assessment of genetic diversity in sorghum accessions using amplified fragment length polymorphism (AFLP) analysis. African Journal of Biotechnology 12, 1178-1188.

Shehzad T, Okuizumi H, Kawase M, Okuno K. 2009. Development of SSR-based sorghum (Sorghum bicolor (L.) Moench) diversity research set of germplasm and its evaluation by morphological traits. Genetic Resources and Crop Evolution 56, 809-827.

Sinha S, Kumaravadivel N. 2016. Understanding genetic diversity of sorghum using quantitative traits. Scientifica 2016.

Ullah M, Ali B, Muneer M, Munir M, Imran M, Adil S. 2016. Investigation of different Sorghum (Sorghum bicolor L. Moench) hybrids for yield and other associated traits under climatic conditions of Dera Ghazi Khan. Science Letters 4, 190-192.

Wing EAS. 2016. Finance division. Government of Pakistan,“Pakistan Economic Survey”, Varios números.

Zongo JD, Gouyon PH, Sandmeier M. 1993. Genetic variability among sorghum accessions from the Sahelian agroecological region of Burkina Faso. Biodiversity & Conservation 2, 627-636.

Muhammad Ihsan Ullah, Zaib-un-Nisa, Barkat Ali, Guljana Nazir, Muhammad Zeeshan Munir, Muhammad Amir Siddique, Arif Hussain, Dilawar Khan, Muhammad Atif Muneer.
The potential role of quantitative traits for understanding the genetic diversity in Sorghum (Sorghum bicolor L.).
Int. J. Biosci. 16(6), 185-195, June 2020.
Copyright © 2020
By Authors and International Network for
Natural Sciences (INNSPUB)
innspub logo
english language editing
    Publish Your Article
    Submit Your Article
Email Update