VI. computer software (ver. 1.44) (Yeh et al.,

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VI. Material and Methods The planned research study willbe carried out in Somatic Cell Genetics Laboratory, Centre of AgriculturalBiochemistry and Biotechnology (CABB), University of Agriculture, Faisalabad.Plant Material and Cultivation:The sorghum germplasm used in thestudy are provided by Agriculture Research Service, United Sates Department ofAgriculture (ARS-USDA), USA. These varieties will be screened based on theirbiomass related traits. Then diversity analysis of these varieties will be doneby using molecular markers.

 Lay out and Phenotyping:The Sorghum germplasm trial willbe sown at the research field area of University of Agriculture, Faisalabad, byusing Randomized Complete Block Design (RCBD) with three replications usingdibbler method. The row × row and plant × plant distances will be 30 cm and 10cm respectively. Fifteen plants will be planted in a line. Identified best performingplants from each genotype per replication will be selected on biomass relatedtraits. Biomass related traits: 1.                 Germination Percentage (%)2.

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                 No. of Leaves per Plant (n)3.                 No. of Nodes (n)4.                 Days to 50% Flowering5.

                 Brix Value6.                 Fresh Biomass (g)7.                 Dry Biomass (g)8.                 Days to Maturity (n) 9.                 Plant Height (cm) Molecular Analysis: 1.                 The fresh leaf samples will beused for DNA extraction following the method reported by Khan et al.(2004).2.

                 The DNA quantification will be optimized 3.                 The genetic divergence of sorghum germplasm will beassessed by SSR.      Statistical Analysis: The data will be analyzed using POPGENE 32 computersoftware (ver. 1.44) (Yeh et al., 1999) and the efficiency of SSR markers regarding no. of loci, no.

of bandsand degree of polymorphism will be estimated.      References  Adugna, A. 2014. Analysis of in situ diversity andpopulation structure in Ethiopian cultivated Sorghum bicolor (L.) landraces using phenotypic traits and SSRmarkers. Springerplus. 3:212.

Aminon I, L.Y. Loko, A.

Adjatin, E. E.Ewédjè, A. Dansi, S. Rakshit, N.

Cissé, J. V. Patil, C. Agbangla and A. Sanni.2015.

Scientific World J. Brown, P. J., S. Myles and S. Kresovich.

2011. Geneticsupport for phenotype-based racial classification in sorghum. Crop Sci. 51(1):224-230.

Burow, G., C. D. Franks, Z. Xin and J. J. Burke.

2012.Genetic diversity in a collection of Chinese sorghum landraces assessed bymicrosatellites. Amer. Plant Sci. 3(12): 1722-1729.

Ejeta, G. and J. E. Knoll. 2007. Marker-assisted selectionin sorghum. Genomics-assisted crop improvement. Springer Netherlands, USA.

2: 187-205.Geleta, N., M. T. Labuschagne and C. D. Viljoen.

2006.Genetic diversity analysis in sorghum germplasm as estimated by AFLP, SSR andmorpho-agronomical markers. Biodivers. Conserv. 15(10): 3251-3265.Hariprasanna, K.

and J. Patil. 2015.Sorghum: origin, classification, biology and improvement sorghum molecularbreeding. Springer India, India. 1: 3-20.Iqbal, A., B.

Sadia, A. Khan, F.Awan, R. Kainth and H. Sadaqat. 2010.

Biodiversity in the sorghum (Sorghum bicolor L. Moench) germplasm ofPakistan. Genet. Mol.

Res. 9(2): 756-764.Khan, I.

, F. Awan, A. Ahmad and A.

Khan. 2004. A modifiedmini-prep method for economical and rapid extraction of genomic DNA in plants.Plant Mol.

Bio. 22(1): 89-89.Mofokeng, A., H. Shimelis, P. Tongoona and M.

Laing. 2014. Agenetic diversity analysis of South African sorghum genotypes using SSRmarkers.

S. Afri. J. Plant Soil. 31(3): 145-152.Muui, C. W.

, R. M. Muasya, D. T. Kirubi, S. M. Runo and A.Karugu.

2016. Genetic variability of sorghum landraces from lower Eastern Kenyabased on simple sequence repeats (SSRs) markers. Afri. J. Biotech.

15(8):264-271.Olweny, C., J.

Jamoza, M. Dida, W. Kimani, J. Njuguna, D.Githae, B. Kiawa, N.

Yao, L. Kosambo and C. Sally. 2014. High genetic diversityfor improvement of sweet sorghum (Sorghumbicolor (L.) Moench) genotypes for sugar and allied products.

Mol. PlantBreed. 5(6): 29-35.Rao, S., S.

Rao, N. Seetharama, A. Umakath, P. S. Reddy, B.Reddy and C. Gowda.

2009. Sweet sorghum for biofuel and strategies for itsimprovement. Manual. Int. Crops Res. Inst.

Semi-Arid Tropic.Ryu, J., S. Im, S. Kwon, J. Ahn, S.

Jeong and S. Kang. 2016.Chemical and genetic diversity of high-seed-yield sorghum (Sorghum bicolor M.

) germplasms. Genet. Mol. Res. 15(3).Shehzad, T., H.

Okuizumi, M. Kawase and K. Okuno. 2009.Development of SSR-based sorghum (Sorghumbicolor (L.) Moench) diversity research set of germplasm and its evaluationby morphological traits.

Genet. Resour. Crop Evol. 56(6): 809-827.Sher, A., F. U. Hassan, H.

Ali and W. Hassan. 2016. Seedrate and nitrogen application effects on production and brix value of foragesorghum cultivars.

Grassland Sci. 62(2): 119-127. Silva, M.J., M.

M. Pastina. R. E. Schaffert, P. C.

S.Carneiro, R. W. Noda, J. E.

S. Carneiro, C. M. B. Damasceno and Parrella, R. A.D. C.

2017. Phenotypic and molecular characterization of sweet sorghumaccessions for bioenergy production. PloS one. 12(8).Sweta, S and N.

Kumaravadivel. 2016. Understanding Genetic Diversity of Sorghum UsingQuantitative Traits. Scientifica.Yeh, F., R. Yang and T.

Boyle. 1999. Microsoft Windows-basedfreeware for population genetic analysis. Release 1.31.

University of Alberta,Edmonton. 

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