Understanding the genetics underlying heading date and yield-related traits is essential in wheat breeding for maximizing productivity under different environments. Using doubled haploid lines derived from two Korean wheat cultivars, we identified seven stable quantitative trait loci (QTLs) for yield-related traits, i.e., days to heading date (QDhd.jbnu-3B, QDhd.jbnu-6B, and QDhd.jbnu-7D), culm length (QCl.jbnu-6A), thousand kernel weight (QTkw.jbnu-6A), kernels per spike (QKps.jbnu-3B) and test weight (QTw.jbnu-1A). Compared to the lines carrying the allele for late heading, those carrying the allele for early heading at QDhd.jbnu-3B, QDhd.jbnu-6B, and QDhd.jbnu-7D headed 3.1, 2.0, and 1.7 days earlier, respectively. Interestingly, when the alleles for early heading at the three QTLs were accumulated, heading date was accelerated by approximately one week, indicating that these QTLs provide useful genetic resources to fine-tune heading date. However, as the alleles for early heading at all three QTLs were associated with decreased kernels per spike, caution is required when deploying them to minimize the negative impacts on yield. Our study provides useful information for developing wheat cultivars with optimal heading date and enhanced productivity.

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• Variations in Major Agronomic Traits of Durum Wheat Germplasm Under Different Nitrogen Fertilization Levels
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Rice culm is an important trait for determining rice lodging yield, and stem diameter has been suggested as a yield-related trait; however, studies for the genetic basis of its phenotypic variation are still required. In this study, we used 160 recombination inbred lines derived from a cross of two different rice varieties [‘Milyang23’ (Tongil rice) and ‘Giho’ (japonica)] for quantitative trait locus (QTL) mapping with nine stem traits. The analysis showed that QTLs for the diameters of the first, second, third and fourth internode traits were independently separated in the top of chromosome 1, whereas four lengths of internodes were estimated as being related to the semidwarf1 (sd1) gene. A major-effect QTL (q2ID1) was identified that the overlapped region of our previous mapping with a large genomic region. Therefore, we performed high-resolution genetic mapping for fine-mapping of q2ID1 to a ~140 kb region between Ind1_1 and Ind1_2 of genetic markers, with candidate genes predicted using a reference genome. We ultimately identified nine of the 15 candidate genes with specific gene functions and analyzed the sequence variations between two parents. These results offer valuable gene and/or genetic information on stem diameter to improve lodging resistance and yield.

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• Genome-Wide Association Analysis Unravels New Quantitative Trait Loci (QTLs) for Eight Lodging Resistance Constituent Traits in Rice (Oryza sativa L.)
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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 F_2:6 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.

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  Theoretical and Applied Genetics.2024;[Epub]     CrossRef
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  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
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  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
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  Acta Agriculturae Scandinavica, Section B — Soil & Plant Science.2019; 69(6): 528.     CrossRef
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  Yuya Liang, Michael R. Baring, Endang M. Septiningsih
  Plant Breeding and Biotechnology.2018; 6(4): 454.     CrossRef
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  Suoyi Han, Mei Yuan, Josh P. Clevenger, Chun Li, Austin Hagan, Xinyou Zhang, Charles Chen, Guohao He
  Frontiers in Plant Science.2018;[Epub]     CrossRef