Screening and genotyping of groundnut (Arachis hypogea L.) inbred lines and landraces in the North Central Nigeria
Article ID: 2557
Vol 8, Issue 2, 2025
Vol 8, Issue 2, 2025
VIEWS - 63 (Abstract)
Abstract
The study evaluated 33 accessions of groundnut in the field, consisting of 23 landraces from Nasarawa communities in Nigeria and 10 inbred lines. Assessment entailed the determination of plant survivorship, yield related parameters and pathological indices while genetic diversity study was undertaken using SSR and RAPD molecular markers. Data analysis was done on the Minitab 17.0 software. Significant variability was noted in all traits except in pod sizes, seed sizes and % infected seeds. About 33.3% of the accessions had a survival rate of ≥ 70.0% where 9/10 Inbred lines were found with overall yield (kg/ha) ranging from 4.0 ± 1.6 in Akwashiki-Doma to 516.8 ± 46.9 kg/ha in Samnut 24 × ICGV–91328. Five accessions (15.5%) had pathological indices of zero indicating no traces of any disease of any type and they included one landrace called Agric-Dazhogwa and four Inbred lines: Samnut 25 × ICGV–91317, Samnut 26 × ICGV–19324, Samnut 26 × ICGV–91328 and Samnut 26 × ICGV–91319. Coefficients of yield determination R2 by survivorship and pathological index were 50.6% and 15%, respectively. A fit model was established (Yield in kg/ha = –146 − 7.94 × Pi + 5.88 × S). Susceptibility to diseases depends on the type of variety (χ2(32) = 127.67, P = 0.00). Yield was significantly affected by BNR@30 (F = 5.47, P = 0.025, P < 0.05) and DSV@60*RUST@60 interaction effect (F = 4.39, P = 0.044, P < 0.05). The similarity coefficient ranged from 28.57 to 100 in plant morphology. Four varieties had no amplified bands with SSR primers whereas amplified bands were present only in four landraces accessions using the RAPD primer. The dendrogram generated by molecular data gave three groups where genetic similarity ranged from 41.4 to 100.0. The Inbred lines were noted for their high survivorship, good yield and disease resistance. Samnut 24 × ICGV–91328, an inbred line, had the highest yield but was susceptible to diseases. Among the landraces, Agric-Musha, Bomboyi-Dugu and Agric-Dazhogwa were selected for high survivorship and disease resistance. The selected inbred lines and landraces are valuable genetic resources that may harbour useful traits for breeding and they should be presented to the growers based on their unique agronomic values. The highest yielding inbred lines should be improved for resistance to late leaf spot diseases while the outstanding landraces should be improved for yield.
Keywords
Groundnut; Inbred Lines; Landraces; Genetic Resources; Improvement
Full Text:
PDFReferences
- Upadhyaya HD, Reddy LJ, Gowda CLL, Singh S. Identification of diverse groundnut germplasm. Sources of early maturity in a core collection. Field Crop Research 2006; 97(3): 261–271. doi: 10.1016/j.fcr.2005.10.010.
- Gulluoglu L, Basal H, Onat B, et al. The effect of harvesting on some agronomic and quality characteristics of peanut grown in the Mediterranean region of Turkey. Turkish Journal of Field Crops 2016; 21: 224–232. doi: 10.17557/tjfc.20186.
- Pandey MK, Monyo E, Akins PO, et al. Advances in Arachis genomics for peanut improvement. Biotechnology Advances 2012; 30(3): 639–651. doi: 10.1016/j.biotechadv.2011.11.001.
- FAO. FAO statistical database [Internet]. Rome: Food and Agriculture Organization of the United Nations; 2017 [accessed 2023 Aug 31]. Available from: http://www.fao.org/faostat.
- ICRISAT. Annual report 2015—Building climate smart farming communities [Internet]. Telangana: International Crops Research Institute for the Semi-Arid Tropics; 2015 [accessed 2023 Aug 31]. Available from: http://www.icrisat.org.
- Frimpong A, Nyarko G, Bayor H, Apeliga JA. Effects of different seed treatment methods on the seedling vigor and biomass production of groundnuts in Ghana. Pakistan Journal of Biological Sciences 2004; 7(6): 1024–1028. doi: 10.3923/pjbs.2004.1024.1028.
- Subrahmanyam P, Naidu RA, Reddy LJ, et al. Resistance to groundnut rosette disease in wild Arachis species. Annals of Applied Biology 2001; 139: 45–50. doi: 10.1111/j.1744-7348.2001.tb00129.x.
- Khedikar PK. Molecular tagging and mapping of resistance to late leaf spot and rust in groundnut (Arachis hypogaea L.) [PhD thesis]. Dharwad: University of Agricultural; 2008. p. 154.
- Abah RC. An application of geographic information system in mapping flood risk zones in a north central city in Nigeria. African Journal of Environmental Science and Technology 2013; 7(6): 365–371. doi: 10.5897/AJEST12.182.
- Nigerian Population Commission (NPC)—Information on Nigerian population [Internet]. Abuja: NPC; 2016. Available from: https://nationalpopulation.gov.ng/.
- Jambunathan R. Groundnut quality characteristics. In: Hall SD, Sudhir P, Rajan V, et al. (editors). Uses of tropical grain legumes. Proceedings of a Consultants’ Meeting; 1989 Mar 27–30; Patancheru, India. Patancheru: ICRISAT Center; 1991. p. 267–275.
- ICRISAT (International Crops Research Institute for the Semi-Arid Tropics). ICRISAT annual report 2015: Building climate-smart farming communities [Report]. Patancheru: ICRISAT; 2016.
- Olasan JO, Aguoru CU, Omoigui LO, et al. Molecular genetic studies and QTL mapping for aflatoxin resistance in selected groundnut (Arachis hypogaea L.) breeding lines. Agricultural and Biological Sciences Journal 2020; 6(4): 202–210.
- IBPGR/ICRISAT. Descriptors for groundnut (Revised). Rome: IBPGR Secretariat; 2021. p. 7–15.
- Omoigui LO, Ishyaku MF, Gwoda BS, et al. Suitability and use of two molecular markers to track race-specific resistance Striga gesnerioides in Cowpea (Vigna unguiculata (L.) Walp.). Africa Journal of Biotechnology 2015; 14(27): 2179–2190. doi: 10.5897/AJB2015.14627.
- Husain F, Mallikarjuna N. Genetic diversity in Bolivian landrace lines of groundnut (Arachis hypogaea L.). Indian Journal of Genetics and Plant Breeding 2012; 72: 384–389.
- Kanyika BTN, Lungu D, Mweetwa AM, et al. Identification of groundnut (Arachis hypogaea L.) SSR markers suitable for multiple resistance traits for QTL mapping in African germplasm. Electronic Journal of Biotechnology 2015; 18: 61–67. doi: 10.1016/j.ejbt.2014.10.004.
- Corrado G, Rao R. Towards the genomic basis of local adaptation in landraces. Diversity 2017; 9(4): 51. doi: 10.3390/d9040051.
- Chandra K, Pandya SM. Morphological characterization of Arachis species section Arachis. Plant Genetic Resources Newsletter 2000; 121: 38–41.
- Christenhusz MJM, Byng JW. The number of known plants species in the world and its annual increase. Phytotaxa 2016; 261(3): 201–217. doi: 10.11646/PHYTOTAXA.261.3.1.
- Malti RK, Wesche-Ebeling P. The peanut (Arachis hypogea) crop. Enfield: Science Publishers Inc.; 2002.
- Janila P, Nigam SN, Manish KP, et al. Groundnut improvement: Use of genetic and genomic tools. Frontiers in Plant Science 2013; 4(23): 1–33. doi: 10.3389/fpls.2013.00023.
- Balota MT, Isleib G, Tallury S. Variability for drought related traits of Virginia-type peanut cultivars and advanced breeding lines. Crop Science 2012; 52(6): 2702–2713. doi: 10.2135/cropsci2012.03.0207.
- Wang H, Lei Y, Yan L, et al. Development and validation of simple sequence repeat markers from Arachis hypogaea transcript sequences. The Crop Journal 2018; 6: 172–180. doi: 10.1016/j.cj.2017.09.007.
- Afolabi CG, Ezekiel CN, Kehinde IA, et al. Contamination of groundnut in Southwest Nigeria by aflatoxin in relation to processing. Journal of Phytopathology 2014; 163(4): 279–286. doi: 10.1111/jph.12317.
- Ahmed O, Olayinka BU, Garuba T, et al. Germination of several groundnut cultivars in relation to incidence of fungi. Science World Journal 2017; 12(1): 38–41.
- Monfort WS, Culbreath AK, Stevenson KL, et al. Effects of reduced tillage, resistant cultivars, and reduced fungicide inputs on progress of early leaf spot of peanut (Arachis hypogaea). Plant Disease 2004; 88: 858–864. doi: 10.1094/PDIS.2004.88.8.858.
- Waliyar F, Kumar PL, Ntare BR, et al. A century of research on groundnut rosette disease and its management. Information bulletin no. 75 [Report]. Telangana: International Crops Research Institute for the Semi-Arid Tropics; 2007.
- Okello DK, Akello LB, Tukamuhabwa P, et al. Groundnut rosette disease symptoms types distribution and management of the disease in Uganda. Africa Journal of Plant Science 2014; 8(3): 153–163.
- Kayondo SI, Rubaihayo PR, Ntare BR, et al. Genetics of resistance to groundnut rosette virus disease. African Crop Science Journal 2014; 22(1): 21–29.
- Teklu DH, Kebede SA, Gebremichael DE. Assessment of genetic variability, genetic advance, correlation and path analysis for morphological traits in Sesame genotypes. Asian Journal of Agricultural Research 2014; 8(4): 181–194.
- Bayat M, Amirnia R, Rahimi M. Phenotypic and genotypic relationships between traits in saffron (Crocus sativus L.) as revealed by path analysis. Journal of Applied Research on Medicinal and Aromatic Plants 2017; 5: 33–40. doi: 10.1016/j.jarmap.2016.10.001.
- Andargie M, Pasquet RS, Muluvi GM, et al. Quantitative trait loci of flowering time related traits identified in recombinant inbred lines of cowpea (Vigna unguiculata). Genome 2013; 56(5): 289–294. doi: 10.1139/gen-2013-0028.
- Huang L, He H, Chen W, et al. Quantitative trait locus analysis of agronomic and quality-related traits in cultivated peanut (Arachis hypogaea L.). Theoretical and Applied Genetics 2015; 128: 1103–1115. doi: 10.1007/s00122-015-2493-1.
- Zhang X, Zhang J, He X, et al. Genome-wide association study of major agronomic traits related to domestication in peanut. Frontiers in Plant Science 2017; 8: 1611. doi: 10.3389/fpls.2017.01611.
- Hymowitz T, Newell CA. Taxonomy of the genus Glycine, domestication and uses of soybeans. Economic Botany 1981; 35(3): 272–288. doi: 10.1007/BF02859119.
- Singh S, Prakash A, Chakraborty NR, et al. Genetic variability, character association and divergence studies in Jatropha curcas for improvement in oil yield. Trees 2016; 30(4): 1163–1180. doi: 10.1007/s00468-016-1354-0.
- Varshney RK, Kudupa H, Roorkiwal M. et al. Advances in genomics and molecular breeding of three legume crops of semi-arid tropics using next-generation sequencing and high-throughput genotyping technologies. Journal of Biosciences 2013; 37(5): 811–820. doi: 10.1007/s12038-012-9228-0.
- Lopes MS, El-Basyoni I, Baenziger PS. et al. Exploiting genetic diversity from landraces in wheat breeding for adaptation to climate change. Journal of Experimental Botany 2015; 66: 3477–3486. doi: 10.1093/jxb/erv122.
DOI: https://doi.org/10.24294/th.v6i1.2557
Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This site is licensed under a Creative Commons Attribution 4.0 International License.

