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"Groundnut"

Research Articles
Estimates of Genetic Parameters in Bambara Groundnut {Vigna subterranea (L.) VERDC.}
Nwakuche Chinenye Onwubiko, Michael Ifeanyi Uguru, Grace Ovute Chimdi
Plant Breed. Biotech. 2019;7(4):295-301.   Published online December 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.4.295

Field evaluation of 33 Bambara groundnut lines were carried out to estimate genetic variability, heritability and genetic advance. One-way analysis of variance (ANOVA) result showed significant differences for 14 of the 17 agronomic traits studied. The results on the variance components revealed that phenotypic variance had values (vigour index 2.30, pod length 10.09, seed length 1.64) that were slightly higher than the respective genotypic variance (vigour index 1.68, pod length 9.88, seed length 0.26). Similarly, the values (number of branches 41.91, number of nodes 68.72, internode length 59.02) of phenotypic coefficient of variation (PCV) were slightly higher than the corresponding genotypic coefficient of variation (GCV) (number of branches 40.11, number of nodes 66.98, internode length 57.31), suggesting a substantial genetic variability that can serve as a base for Bambara groundnut improvement. High estimates of heritability were observed for most characters like number of branches (95.70%), number of nodes (97.46%), internode length (97.10%), pod length (97.91%), and seed length (93.79%). Likewise, genetic advance values for most traits were high, pod length (201), number of nodes (200), internode length (200), number of branches (197) and seed yield (195), implying that improvement of seed yield in Bambara groundnut can be achieved through direct selection.

Citations

Citations to this article as recorded by  
  • Combining ability and gene action in Bambara groundnut (Vigna subterranea (L.) Verdc.) genotypes for agronomic traits
    Nomathemba Gloria Majola, Hussein Shimelis, Abe Shegro Gerrano, Jacob Mashilo
    Euphytica.2025;[Epub]     CrossRef
  • Genetic Analysis and Variability Assessment of Bambara Groundnut (Vigna subterranea L.) Lines Based on Vegetative Traits
    Atiqullah Khaliqi, Ahmad Jawid Pouyesh, Mohd Y Rafii, Md Mahmudul Hasan Khan
    Journal of Natural Science Review .2025; 3(1): 141.     CrossRef
  • Unveiling Genetic Diversity, Characterization, and Selection of Bambara Groundnut (Vigna subterranea L. Verdc) Genotypes Reflecting Yield and Yield Components in Tropical Malaysia
    Md Mahmudul Hasan Khan, Mohd Y. Rafii, Shairul Izan Ramlee, Mashitah Jusoh, Yusuff Oladosu, Md Al Mamun, Atiqullah Khaliqi, Fengjie Sun
    BioMed Research International.2022;[Epub]     CrossRef
  • Hereditary analysis and genotype × environment interaction effects on growth and yield components of Bambara groundnut (Vigna subterranea (L.) Verdc.) over multi-environments
    Md Mahmudul Hasan Khan, Mohd Y. Rafii, Shairul Izan Ramlee, Mashitah Jusoh, Md Al Mamun
    Scientific Reports.2022;[Epub]     CrossRef
  • Genetic parameters and selection strategies for soybean progenies aiming at precocity and grain productivity
    Josef Gastl Filho, Osvaldo Toshiyuki Hamawaki, Ana Paula Oliveira Nogueira, Carolina Oliveira da Silva, Raphael Lemes Hamawaki, Cristiane Divina Lemes Hamawaki
    Ciência e Agrotecnologia.2022;[Epub]     CrossRef
  • Genetic Analysis and Selection Criteria in Bambara Groundnut Accessions Based Yield Performance
    Atiqullah Khaliqi, Mohd Y. Rafii, Norida Mazlan, Mashitah Jusoh, Yusuff Oladosu
    Agronomy.2021; 11(8): 1634.     CrossRef
  • Genetic analysis and selection of Bambara groundnut (Vigna subterranea [L.] Verdc.) landraces for high yield revealed by qualitative and quantitative traits
    Md Mahmudul Hasan Khan, Mohd Y. Rafii, Shairul Izan Ramlee, Mashitah Jusoh, Md Al Mamun
    Scientific Reports.2021;[Epub]     CrossRef
  • Genetic Diversity and Environmental Influence on Growth and Yield Parameters of Bambara Groundnut
    Oluwaseyi Samuel Olanrewaju, Olaniyi Oyatomi, Olubukola Oluranti Babalola, Michael Abberton
    Frontiers in Plant Science.2021;[Epub]     CrossRef
  • Development of Selection Indices for Improvement of Seed Yield and Lipid Composition in Bambara Groundnut (Vigna subterranea (L.) Verdc.)
    Razlin Azman Halimi, Carolyn A. Raymond, Bronwyn J. Barkla, Sean Mayes, Graham J. King
    Foods.2021; 11(1): 86.     CrossRef
  • Genetic diversity in Bambara groundnut {Vigna subterranea (L.) Verdc.}
    Nwakuche Chinenye Onwubiko
    Agricultura Tropica et Subtropica.2021; 54(1): 89.     CrossRef
  • Genetic Variability, Heritability, and Clustering Pattern Exploration of Bambara Groundnut (Vigna subterranea L. Verdc) Accessions for the Perfection of Yield and Yield‐Related Traits
    Md Mahmudul Hasan Khan, Mohd Y. Rafii, Shairul Izan Ramlee, Mashitah Jusoh, Al Mamun, Yue Sheng
    BioMed Research International.2020;[Epub]     CrossRef
  • Enhancing the Nutritional Profile of Noodles With Bambara Groundnut (Vigna subterranea) and Moringa (Moringa oleifera): A Food System Approach
    Hilda Hussin, Peter J. Gregory, Advina L. Julkifle, Gomathy Sethuraman, Xin Lin Tan, Fadhil Razi, Sayed N. Azam-Ali
    Frontiers in Sustainable Food Systems.2020;[Epub]     CrossRef
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Mapping QTLs for Leafspot Resistance in Peanut Using SNP-Based Next-Generation Sequencing Markers
Yuya Liang, Michael Baring, Shichen Wang, Endang M. Septiningsih
Plant Breed. Biotech. 2017;5(2):115-122.   Published online June 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.2.115

Leafspot is one of the major diseases of peanut (Arachis hypogaea L.) that can cause more than 50% yield loss. The
objective
of this study was to identify and map quantitative trait loci (QTLs) for resistance to leafspot disease. An F2:6 recombinant inbred line (RIL) population, derived from a released cultivar Tamrun OL07 and a highly tolerant breeding line Tx964117, were used as a mapping population. A total of 90 RILs were planted for disease phenotyping in Yoakum, Texas in 2010 and 2012. A genetic map spanning the 20 linkage groups was developed using 1,211 SNP markers based on double digest restriction-site associated DNA sequencing (ddRAD-seq). A total of six quantitative trait loci (QTLs) were identified, with LOD score values of 3.2–5.0 and phenotypic variance explained ranging from 11%–24%. Major QTLs identified in this study may be used as potential targets for peanut improvement to leafspot disease through molecular breeding.

Citations

Citations to this article as recorded by  
  • Discovery of the genomic region and candidate gene for qELSB02.1, a novel and stable major QTL associated with peanut early leaf spot resistance
    Zhijun Xu, Sheng Zhao, Xuejiao Zhang, Qibiao Li, Lei Xu, Qian Yang, Li Huang, Huifang Jiang
    Journal of Integrative Agriculture.2026;[Epub]     CrossRef
  • Genome-Wide Dissection of Early and Late Leaf Spot Resistance in Advanced Peanut Backcross Lines Carrying Introgressions from Arachis stenosperma and Arachis batizocoi
    Namrata Maharjan, Mounirou H. Alyr, David J. Bertioli, Soraya C. M. Leal-Bertioli
    Agronomy.2026; 16(12): 1129.     CrossRef
  • Next-Generation Sequencing in the Development of Climate-Resilient and Stress-Responsive Crops – A Review
    Amitava Roy, Suman Dutta, Sumanta Das, Malini Roy Choudhury
    The Open Biotechnology Journal.2024;[Epub]     CrossRef
  • High-Density Genetic Map Construction and Quantitative Trait Locus Analysis of Fruit- and Oil-Related Traits in Camellia oleifera Based on Double Digest Restriction Site-Associated DNA Sequencing
    Ping Lin, Jingyu Chai, Anni Wang, Huiqi Zhong, Kailiang Wang
    International Journal of Molecular Sciences.2024; 25(16): 8840.     CrossRef
  • High-density bin-based genetic map reveals a 530-kb chromosome segment derived from wild peanut contributing to late leaf spot resistance
    Jiaowen Pan, Xiaojie Li, Chun Fu, Jianxin Bian, Zhenyu Wang, Conghui Yu, Xiaoqin Liu, Guanghao Wang, Ruizheng Tian, Xiaofeng Song, Changsheng Li, Han Xia, Shuzhen Zhao, Lei Hou, Meng Gao, Hailing Zi, David Bertioli, Soraya Leal-Bertioli, Manish K. Pandey,
    Theoretical and Applied Genetics.2024;[Epub]     CrossRef
  • Validation of SNP markers associated with late leaf spot resistance in groundnut
    Benjamin Aboagye Danso, Daniel Kwadjo Dzidzienyo, John Saviour Yaw Eleblu, Sylvester Addy, William Manilal, Kwadwo Ofori, James Yaw Asibuo
    Cogent Food & Agriculture.2024;[Epub]     CrossRef
  • Advances in omics research on peanut response to biotic stresses
    Ruihua Huang, Hongqing Li, Caiji Gao, Weichang Yu, Shengchun Zhang
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • An Overview of Mapping Quantitative Trait Loci in Peanut (Arachis hypogaea L.)
    Fentanesh C. Kassie, Joël R. Nguepjop, Hermine B. Ngalle, Dekoum V. M. Assaha, Mesfin K. Gessese, Wosene G. Abtew, Hodo-Abalo Tossim, Aissatou Sambou, Maguette Seye, Jean-François Rami, Daniel Fonceka, Joseph M. Bell
    Genes.2023; 14(6): 1176.     CrossRef
  • Quantitative Trait Analysis Shows the Potential for Alleles from the Wild Species Arachis batizocoi and A. duranensis to Improve Groundnut Disease Resistance and Yield in East Africa
    Danielle A. Essandoh, Thomas Odong, David K. Okello, Daniel Fonceka, Joël Nguepjop, Aissatou Sambou, Carolina Ballén-Taborda, Carolina Chavarro, David J. Bertioli, Soraya C. M. Leal-Bertioli
    Agronomy.2022; 12(9): 2202.     CrossRef
  • Optimization of Protoplast Isolation and Transformation for a Pilot Study of Genome Editing in Peanut by Targeting the Allergen Gene Ara h 2
    Sudip Biswas, Nancy J. Wahl, Michael J. Thomson, John M. Cason, Bill F. McCutchen, Endang M. Septiningsih
    International Journal of Molecular Sciences.2022; 23(2): 837.     CrossRef
  • Genetic diversity analysis among late leaf spot and rust resistant and susceptible germplasm in groundnut (Arachis hypogea L.)
    Sushmita Mandloi, M.K. Tripathi, Sushma Tiwari, Niraj Tripathi
    Israel Journal of Plant Sciences.2022; 69(3-4): 163.     CrossRef
  • Functional Allele Validation by Gene Editing to Leverage the Wealth of Genetic Resources for Crop Improvement
    Michael J. Thomson, Sudip Biswas, Nikolaos Tsakirpaloglou, Endang M. Septiningsih
    International Journal of Molecular Sciences.2022; 23(12): 6565.     CrossRef
  • Peanut leaf spot caused by Nothopassalora personata
    D. F. Giordano, N. Pastor, S. Palacios, C. M. Oddino, A. M. Torres
    Tropical Plant Pathology.2021; 46(2): 139.     CrossRef
  • Genetic Mapping by Sequencing More Precisely Detects Loci Responsible for Anaerobic Germination Tolerance in Rice
    John Carlos I. Ignacio, Maricris Zaidem, Carlos Casal, Shalabh Dixit, Tobias Kretzschmar, Jaime M. Samaniego, Merlyn S. Mendioro, Detlef Weigel, Endang M. Septiningsih
    Plants.2021; 10(4): 705.     CrossRef
  • Identification of QTLs associated with Sclerotinia blight resistance in peanut (Arachis hypogaea L.)
    Yuya Liang, John M. Cason, Michael R. Baring, Endang M. Septiningsih
    Genetic Resources and Crop Evolution.2021; 68(2): 629.     CrossRef
  • Improved Transformation and Regeneration of Indica Rice: Disruption of SUB1A as a Test Case via CRISPR-Cas9
    Yuya Liang, Sudip Biswas, Backki Kim, Julia Bailey-Serres, Endang M. Septiningsih
    International Journal of Molecular Sciences.2021; 22(13): 6989.     CrossRef
  • Omics-Facilitated Crop Improvement for Climate Resilience and Superior Nutritive Value
    Tinashe Zenda, Songtao Liu, Anyi Dong, Jiao Li, Yafei Wang, Xinyue Liu, Nan Wang, Huijun Duan
    Frontiers in Plant Science.2021;[Epub]     CrossRef
  • Pod and Seed Trait QTL Identification To Assist Breeding for Peanut Market Preferences
    Carolina Chavarro, Ye Chu, Corley Holbrook, Thomas Isleib, David Bertioli, Ran Hovav, Christopher Butts, Marshall Lamb, Ronald Sorensen, Scott A. Jackson, Peggy Ozias-Akins
    G3 Genes|Genomes|Genetics.2020; 10(7): 2297.     CrossRef
  • Major QTLs for Resistance to Early and Late Leaf Spot Diseases Are Identified on Chromosomes 3 and 5 in Peanut (Arachis hypogaea)
    Ye Chu, Peng Chee, Albert Culbreath, Thomas G. Isleib, C. Corley Holbrook, Peggy Ozias-Akins
    Frontiers in Plant Science.2019;[Epub]     CrossRef
  • Groundnut (Arachis hypogaeaL.) improvement in sub-Saharan Africa: a review
    Seltene Abady, Hussein Shimelis, Pasupuleti Janila, Jacob Mashilo
    Acta Agriculturae Scandinavica, Section B — Soil & Plant Science.2019; 69(6): 528.     CrossRef
  • Mapping of Quantitative Trait Loci for Yield and Grade Related Traits in Peanut (Arachis hypogaeaL.) Using High-Resolution SNP Markers
    Yuya Liang, Michael R. Baring, Endang M. Septiningsih
    Plant Breeding and Biotechnology.2018; 6(4): 454.     CrossRef
  • A SNP-Based Linkage Map Revealed QTLs for Resistance to Early and Late Leaf Spot Diseases in Peanut (Arachis hypogaea L.)
    Suoyi Han, Mei Yuan, Josh P. Clevenger, Chun Li, Austin Hagan, Xinyou Zhang, Charles Chen, Guohao He
    Frontiers in Plant Science.2018;[Epub]     CrossRef
  • 13 View
  • 0 Download
  • 22 Crossref