Estimation of Genetic Divergence among Sorghum Germplasm of Pakistan through Multivariate Tools

被引:0
作者
Arshad, Sarmad Frogh [1 ]
Sadia, Bushra [1 ,2 ]
Awan, Faisal Saeed [1 ]
Jaskani, Muhammad Jafar [3 ]
机构
[1] Univ Agr Faisalabad, CABB, Faisalabad 38040, Pakistan
[2] Univ Agr Faisalabad, USPCAS AFS, Chair Biotechnol, Faisalabad 38040, Pakistan
[3] Univ Agr Faisalabad, Inst Hort Sci, Faisalabad 38040, Pakistan
关键词
Sorghum; Diversity analysis; Multivariate analysis; Principal components analysis; UPGMA clusters analysis; VARIABILITY; DIVERSITY; POPULATION; LANDRACES;
D O I
10.17957/IJAB/15.0390
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Sorghum is an important fodder crop with high biomass production potential all around the world including Pakistan. Genetic divergence was estimated among 208 sorghum genotypes of Pakistan by evaluating fourteen different quantitative traits for one year. High variability was reported in fresh biomass (35.60-629.12 g), dry biomass (23.41-367.72 g), flag leaf area index (37.61-407.39 cm(2)), leaf area index (94.71-1061.74 cm(2)) and plant height (106.14-298.27 cm). All the quantitative traits showed high broad sense heritability. The first three principal components (PCs) with Eigen value >1 shared 75.39% variability of traits among sorghum genotypes. Positive correlation was observed between plant height and days to maturity, whereas fresh and dry biomass had significant positive correlation with leaf area index, number of leaves per plant, flag leaf area index, days to maturity and 50% days to flowering. Un-weighted Pair-Group Method of Analysis (UPGMA) revealed 141 morphotypes. The germplasm was grouped in to seven classes based on homology. The genotype P-13-2013 gave the highest values for number of leaves/plant, stem thickness, leaf length, fresh biomass, dry biomass and flag leaf area index. The explored genetic potential of sorghum germplasm of Pakistan can be helpful for varietal improvement program. Moreover, the diverse set of genotypes can be screened through principal component analysis for structure and association mapping by using molecular markers. (C) 2017 Friends Science Publishers
引用
收藏
页码:1099 / 1106
页数:8
相关论文
共 32 条
[1]  
Abubakar L., 2013, African Journal of Agricultural Research, V8, P3750
[2]   Analysis of in situ diversity and population structure in Ethiopian cultivated Sorghum bicolor (L.) landraces using phenotypic traits and SSR markers [J].
Adugna, Asfaw .
SPRINGERPLUS, 2014, 3 :1-14
[3]  
[Anonymous], 2001, Applied Multivariate Data Analysis
[4]   Evaluation of genetic diversity of soybean introductions and North American ancestors using RAPD and SSR markers [J].
Brown-Guedira, GL ;
Thompson, JA ;
Nelson, RL ;
Warburton, ML .
CROP SCIENCE, 2000, 40 (03) :815-823
[5]  
Dossou-Aminon I., 2014, International Journal of Current Microbiology and Applied Sciences, V3, P531
[6]  
Dossou-Aminon I., 2015, SCI WORLD J, V1, P10
[7]  
Durrishahwar Durrishahwar, 2012, African Journal of Biotechnology, V11, P11952, DOI 10.5897/AJB11.4000
[8]  
GARBER EDWARD D., 1950, UNIV CALIFORNIA PUBL BOT, V23, P283
[9]  
Hair J. F., 1995, Multivariate Data Analysis with readings, V3rd
[10]  
Ijaz U., 2013, INT J MOD AGR, V2, P58