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008 20237s2023||||mx |||p|op||||00||0|eng|d
022 _a2073-4425
024 8 _ahttps://doi.org/10.3390/genes14071480
040 _aMX-TxCIM
041 _aeng
100 1 _aAhmad Yahaya, M.
_930038
245 1 0 _aGenetic diversity and population structure of African sorghum (sorghum bicolor L. moench) accessions assessed through single nucleotide polymorphisms markers
260 _bMDPI,
_c2023.
_aBasel (Switzerland) :
500 _aPeer review
500 _aOpen Access
520 _aAssessing the genetic diversity and population structure of cultivated sorghum is important for heterotic grouping, breeding population development, marker-assisted cultivar development, and release. The objectives of the present study were to assess the genetic diversity and deduce the population structure of 200 sorghum accessions using diversity arrays technology (DArT)-derived single nucleotide polymorphism (SNP) markers. The expected heterozygosity values ranged from 0.10 to 0.50 with an average of 0.32, while the average observed heterozygosity (0.15) was relatively low, which is a typical value for autogamous crops species like sorghum. Moderate polymorphic information content (PIC) values were identified with a mean of 0.26, which indicates the informativeness of the chosen SNP markers. The population structure and cluster analyses revealed four main clusters with a high level of genetic diversity among the accessions studied. The variation within populations (41.5%) was significantly higher than that among populations (30.8%) and between samples within the structure (27.7%). The study identified distantly related sorghum accessions such as SAMSORG 48, KAURA RED GLUME; Gadam, AS 152; CSRO1, ICNSL2014-062; and YALAI, KAFI MORI. The accessions exhibited wide genetic diversity that will be useful in developing new gene pools and novel genotypes for West Africa sorghum breeding programs.
546 _aText in English
650 7 _aPopulation Structure
_2AGROVOC
_98720
650 7 _aGene flow
_2AGROVOC
_919444
650 7 _aSingle nucleotide polymorphisms
_2AGROVOC
_910805
650 7 _aSorghum bicolor
_2AGROVOC
_92911
650 7 _aBreeding programmes
_2AGROVOC
_921704
651 7 _2AGROVOC
_91316
_aAfrica
700 1 _aShimelis, H.
_92255
700 1 _aNebie, B.
_8001712983
_gGenetic Resources Program
_930039
700 1 _aOjiewo, C.O.
_8001712848
_929311
_gGenetics Resource Program
700 1 _aRathore, A.
_8001712937
_97897
_gExcellence in Breeding
700 1 _aDas, R.R.
_916137
_gExcellence in Breeding
_8001713367
773 0 _tGenes
_gv. 14, no. 7, art. 1480
_dBasel (Switzerland) : MDPI, 2023
_x2073-4425
856 4 _yOpen Access through DSpace
_uhttps://hdl.handle.net/10883/22709
942 _cJA
_n0
_2ddc
999 _c66463
_d66455