Assessment of genetic diversity among cultivated Pearl millet (Pennisetum glaucum, Poaceae) accessions from Benin, West Africa

Adéoti, Kifouli; Djèdatin, Gustave; Ewedje, Eben-Ezer; Beulé, Thierry; Santoni, Sylvain; Rival, Alain; Jaligot, Estelle

doi:10.5897/ajb2017.15898

Cited by 7 publications

(5 citation statements)

References 26 publications

(34 reference statements)

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“…Similarly, populations in Cluster I (As-As and Af-As) belonged to Group 3. Overall, the results showed poor differentiation of populations (As-As and Af-Af) from different geographical (Asian and African) regions which are supported by results of previous studies reporting the absence of any specific structuration among pearl millet accessions from different regions of West Africa (Adeoti et al, 2017) and among landraces of different regions of Sudan and West Africa (Bashir et al, 2015). Based on the clustering pattern, it can be inferred that the molecular GD between the 45 African and Asian populations did not show their clear grouping by geographical origin.…”

Section: Genetic Distance Cluster Analysis and Population Structure Analysissupporting

confidence: 84%

“…The relatively high gene diversity (H e = 0.75), observed heterozygosity (H o = 0.31), and mean number of alleles per locus (15 alleles), obtained in the current study, indicated the presence of considerable genetic variability among the 45 pearl millet populations under investigation. The present study detected a higher number of alleles and gene diversity than found in previous studies using SSRs in African pearl millet accessions (Adeoti et al, 2017;Diack et al, 2017). This might be due to use of more markers in our study and sampling of a larger number of individuals per population.…”

Section: Marker-based Genetic Variation In Pearl Millet Populationscontrasting

confidence: 65%

“…Recent characterization studies based on various agromorphological traits in pearl millet have reported significant variability among both African germplasm (Bashir, Ali, Ali, Melchinger, et al, 2014;Pucher et al, 2015;Sattler et al, 2018) and Asian germplasm (Kumari et al, 2016;Upadhyaya, Reddy, Ramachandran, Kumar, & Ahmed, 2016). Molecular marker-based studies conducted to date have also reported significant diversity among African populations and landraces (Adeoti et al, 2017;…”

Section: Introductionmentioning

confidence: 99%

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African and Asian origin pearl millet populations: Genetic diversity pattern and its association with yield heterosis

et al. 2020

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Pearl millet [Pennisetum glaucum (L.) R. Br.] is a staple food crop of arid and semi‐arid regions of Asia and Africa. Forty‐five pearl millet populations of Asian and African origin were assessed for genetic diversity using 29 simple sequence repeat (SSR) markers. The SSR‐based clustering and structure analyses showed that Asian origin–Asian bred (As‐As) and African origin–African bred (Af‐Af) populations were distributed across seven clusters, indicating no strong relationship among populations with their geographical origin. Most of the African origin–Asian bred (Af‐As) populations had a higher average number of alleles per locus than As‐As or Af‐Af populations, and the majority of them clustered separately from As‐As or Af‐Af populations, indicating that introgression of African origin breeding materials led to the development of new gene pools adapted to the Asian region. Fourteen populations representing seven clusters were crossed according to a diallel mating design to generate 91 population hybrids (seeds of direct and reciprocal crosses were mixed) and evaluated at three locations in 2016. All the 91 hybrids when partitioned into three groups based on genetic distance (GD) between parental combinations (low, moderate, and high), revealed no correlation between GD and panmictic midparent heterosis in any of the groups, indicating that grain yield heterosis cannot be predicted based on GD. Two population hybrids (GB 8735 × ICMP 87307 and Sudan I × Ugandi) exhibited high levels of yield heterosis over standard checks and can be further utilized using different breeding schemes to develop high‐yielding pearl millet cultivars.

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Section: Genetic Distance Cluster Analysis and Population Structure Analysissupporting

confidence: 84%

Section: Marker-based Genetic Variation In Pearl Millet Populationscontrasting

confidence: 65%

Section: Introductionmentioning

confidence: 99%

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African and Asian origin pearl millet populations: Genetic diversity pattern and its association with yield heterosis

et al. 2020

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“…Pearl millet is one of the most important crops in the whole Sahelian region from Senegal to Sudan (Mariac et al 2006). This crop ranks second in Senegal (Bastos et al 2022) and fourth in Benin (Adeoti et al 2017). In Niger, pearl millet covers more than 65% of the total cultivated area (Mariac et al 2006).…”

Section: Food and Forage Interestmentioning

confidence: 99%

Industrial interests and requirements for improvement of pearl millet, a gluten-free and climate-smart underutilized cereal

Riahi,

Ben-Romdhane,

Masmoudi

2024

J Plant Biotechnol

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Pearl millet is a small-seeded staple crop in arid and semi-arid regions of Africa and Asia. It is the crop of choice in the hottest and driest climates where other cereals do not grow well and is considered a future climate-smart cereal. This underutilized cereal provides nutritional and food security to millions of people. It is also used as animal feed, fuel, and fodder as well as in brewing. The gluten-free grains of this cereal are rich sources of fats, proteins, carbohydrates, minerals, especially iron and zinc, and phenolics with health-promoting properties. Pearl millet also has industrial uses in the production of bioenergy, biodegradable products, bio-coagulants, and construction materials, and in tissue engineering. Pearl millet hybrids have gained considerable popularity among Indian farmers, resulting in a significant increase in production yields. However, pearl millet production in Africa is primarily dependent on traditional landraces with limited acceptance of improved open-pollinated varieties and hybrids. Consequently, no significant increase in pearl millet production has been achieved over the past few decades. Despite its inherent resilience against poor climates, this staple crop faces a complex array of abiotic and biotic stresses in its production areas, which is exacerbated by ongoing climate change. Furthermore, certain anti-nutritional traits impede its overall nutritional value and effective utilization. Hence, improving pearl millet is a continuous and significant challenge for plant breeders and biotechnologists.

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“…Pearl millet assumes a basic part in food security" [3]. It has amazing properties like high photosynthetic proficiency, high dry matter creation limit, early development, dry season resilience, the necessity of insignificant buy inputs, and general liberation from biotic and abiotic stresses [2,4]. "It can endure the most unfavorable agro-climatic circumstances where different harvests like sorghum and maize neglect to create monetary yields" [2].…”

Section: Introductionmentioning

confidence: 99%

Molecular Analysis of Genetic Variability and Relationship among Pearl Millet (Pennisetum glaucum) Genotypes by Using SSR Markers

Kasar,

Surbhaiyya,

Nikam

et al. 2023

IJECC

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Pearl millet has a place with sort Pennisetum, and family Poaceae. Pearl millet is the most broadly developed grain crop in Asia and Africa representing close to half of the worldwide millet creation. In India, pearl millet is the fourth most broadly developed food crop after rice, wheat, and maize. We used molecular techniques to investigate the genetic diversity and relatedness of six genotypes viz:ICMV155, Dhanshakti, PC-612, Sampada, HHB-67, and HHB-197.the six genotypes was collected from National agriculture research project Aurangabad. The present study was conducted at the Department of Plant Biotechnology at K. K. Wagh College of Agricultural Biotechnology, Nashik. DNA was isolated by fixing a sample in alcohol without using liquid nitrogen; six genotypes were analyzed through SSR primers to determine the extent of molecular characterization. PCR amplification using 10 SSR primers generated a total of 111 no. of bands were scored corresponding an average of 11 bands per primer with 77 bands showing polymorphism (67%) and 34 bands showing monomorphism (30%). The PIC value ranged from 0.35 to 0.68 with an average of 0.4. Jaccard’s coefficient based on SSR analysis 0.38 to 0.90. The dendrogram wasconstructed using the UPGMA method. It has two main clusters Cluster-1 consisting of C1- HHB 67, V6-ICMV-155, C2- HHB 197 and C4- Sampada. Cluster-2 comprised C3-Dhanshakti and V5-PC 612 as an out group. C2- HHB 197 and C4- Sampada genotypes have the highest similarity coefficient 0.76. Among all the genotypes, C1- HHB 67 and V5- PC 612 was found most diverse as it separated from all other genotypes at a very low similarity coefficient of 0.6. The identified markers can prove useful for identification of diverse germplasm and future DNA fingerprinting studies.

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Assessment of genetic diversity among cultivated Pearl millet (Pennisetum glaucum, Poaceae) accessions from Benin, West Africa

Cited by 7 publications

References 26 publications

African and Asian origin pearl millet populations: Genetic diversity pattern and its association with yield heterosis

African and Asian origin pearl millet populations: Genetic diversity pattern and its association with yield heterosis

Industrial interests and requirements for improvement of pearl millet, a gluten-free and climate-smart underutilized cereal

Molecular Analysis of Genetic Variability and Relationship among Pearl Millet (Pennisetum glaucum) Genotypes by Using SSR Markers

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