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"Maize inbred line"

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"Maize inbred line"

Research Articles
Drought Tolerance Screening of Maize Inbred Lines at an Early Growth Stage
Bishnu Adhikari†, Kyu Jin Sa†, Ju Kyong Lee
Plant Breed. Biotech. 2019;7(4):326-339.   Published online December 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.4.326

Drought is one of the major abiotic factors that have a serious effect on the production of cereals crops including maize, which is grown widely in the world. Screening based on drought facilitates selection of inbred lines and an understanding of drought-tolerant traits. The effect of drought stress and rescue after stress on maize inbred lines was investigated in this study. Different plant growth attributes namely plant height, leaf area and weight, stem weight, root length, shoot and root fresh and dry weight, and total leaf chlorophyll content were measured. Six flint inbred lines (FLD 12, FLD 23, FLD 24, FLD 33, FLD 35, and FLD 37) were screened as drought-tolerant lines, whereas another six flint inbred lines (FLD 01, FLD 13, FLD 16, FLD 18, FLD 29, and FLD 31) were screened as drought susceptible lines. Growth attributes under different drought conditions were subjected to a correlation test and analysis of variance and showed highly significant relationships with each other. The drought effect differed with different inbred lines, indicating a wide variability of drought response at the early growth stage of maize plants. The results obtained from this study will be useful for selecting maize inbred lines in future breeding programs for enhancing drought tolerance.

Citations

Citations to this article as recorded by  
  • Variability of Root and Shoot Traits Under PEG-Induced Drought Stress at an Early Vegetative Growth Stage of Maize
    Miroslav Bukan, Snježana Kereša, Ivan Pejić, Ana Lovrić, Hrvoje Šarčević
    Agronomy.2025; 15(11): 2624.     CrossRef
  • Review on Effects of Drought Stress on Maize Growth, Yield and Its Management Strategies
    Habtamu Deribe
    Communications in Soil Science and Plant Analysis.2025; 56(1): 123.     CrossRef
  • Drought tolerance screening of maize accessions at early growth stage in the mid-hills of Nepal
    Anubhav Tripathi, Rashmi Poudel, Reema Gurung, Unisha Ghimire, Mamata Pandey, Bishnu Prasad Kandel, Bal Krishna Joshi
    Cogent Food & Agriculture.2024;[Epub]     CrossRef
  • Breeding Drought-Tolerant Maize (Zea mays) Using Molecular Breeding Tools: Recent Advancements and Future Prospective
    Adnan Rasheed, Hongdong Jie, Basharat Ali, Pengliang He, Long Zhao, Yushen Ma, Hucheng Xing, Sameer H. Qari, Muhammad Umair Hassan, Muhammad Rizwan Hamid, Yucheng Jie
    Agronomy.2023; 13(6): 1459.     CrossRef
  • Evaluation of water deficit tolerance in maize genotypes using biochemical, physio-morphological changes and yield traits as multivariate cluster analysis
    Piyanan PIPATSITEE, Rujira TISARUM, Thapanee SAMPHUMPHUANG, Sumaid KONGPUGDEE, Kanyaratt TAOTA, Apisit EIUMNOH, Suriyan CHA-UM
    Notulae Botanicae Horti Agrobotanici Cluj-Napoca.2022; 50(1): 12572.     CrossRef
  • Overexpressing OsPYL/RCAR7 Improves Drought Tolerance of Maize Seedlings by Reducing Stomatal Conductance
    Joon Ki Hong, Yeon-Hee Lee, Beom-Gi Kim, Gang Seob Lee, Hee Jeung Jang, Giha Song, Eun Jung Suh, Sang Ryeol Park
    Agriculture.2022; 12(12): 2140.     CrossRef
  • Association Study for Drought Tolerance of Flint Maize Inbred Lines Using SSR Markers
    Kyu Jin Sa, Hyeon Park, Zhenyu Fu, So Jung Jang, Ju-Kyong Lee
    Plant Breeding and Biotechnology.2022; 10(4): 257.     CrossRef
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Genetic Diversity and Association Analyses of Chinese Maize Inbred Lines Using SSR Markers
Yin Vathana, Kyu Jin Sa, Su Eun Lim, Ju Kyong Lee
Plant Breed. Biotech. 2019;7(3):186-199.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.186

We selected 68 Chinese maize inbred lines to understand the genetic diversity, population structure, and marker-trait associations for eight agronomic traits and 50 simple sequence repeats (SSRs) markers. In this study, effective traits, such as days of anthesis (DA), days of silking (DS), ear height (EH), plant to ear height ratio (ER), plant height (PH), and leaf width (LW) were divided into PC1 and PC2 by PCA analysis for maize inbred lines. Genetic diversity analysis revealed a total of 506 alleles at 50 SSR loci. The mean number of alleles per locus was 10.12. The averages of genetic diversity (GD) and polymorphic information content (PIC) values were 0.771 and 0.743, respectively. Based on a membership probability threshold of 0.80, the population structure revealed that the total inbred lines were divided into three major groups with one admixed group. A marker-trait association using Q + K MLM showed that nine SSR markers (bnlg1017, umc2041, umc2400, bnlg105, umc1229, umc1250, umc1066, umc2092, and umc1426) were related with seven agronomic traits. Among these SSR markers, eight SSR markers were associated with only one agronomic trait (DA, DS, ER, LL, LW, PH, and ST), whereas one SSR marker (umc1229) was associated with two agronomic traits (DA and ST). These results will help in optimizing the choice of inbred lines for cross combinations, as well as in selecting markers for further maize breeding programs.

Citations

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  • Assessment of combining ability for grain yield and its attributing traits in maize (Zea mays L.)
    Jiban Shrestha, Surya Kant Ghimire, Krishna Hari Dhakal, Mahendra Prasad Tripathi
    Discover Agriculture.2026;[Epub]     CrossRef
  • Mapping of quantitative trait loci associated with fodder quality traits in forage maize (Zea mays L.)
    Palaniyappan Subramani, Ganesan Kalipatty Nalliappan, Manivannan Narayana, Senthil Natesan
    Euphytica.2025;[Epub]     CrossRef
  • Phylogenetic analysis of Perilla crop (Perilla frutescens L.) based on morphological characteristics and volatile substances
    Jungeun Cho, Hyeon Park, Tae Hyeon Heo, Kyu Jin Sa, Ju Kyong Lee
    Genetic Resources and Crop Evolution.2025; 72(3): 2959.     CrossRef
  • Molecular diversity, population structure analysis, and assessment of parent hybrid relationships in fodder maize
    Palaniyappan Subramani, Ganesan Kalipatty Nalliappan, Manivannan Narayana, Ravichandran Veerasamy, Senthil Natesan
    Crop Breeding and Applied Biotechnology.2024;[Epub]     CrossRef
  • Selection of superior and stable fodder maize hybrids using MGIDI and MTSI indices
    Palaniyappan Subramani, Ganesan Kalipatty Nalliappan, Manivannan Narayana, Ravichandran Veerasamy, Senthil Natesan
    Crop Breeding and Applied Biotechnology.2024;[Epub]     CrossRef
  • Association Mapping for Evaluation of Population Structure, Genetic Diversity, and Physiochemical Traits in Drought-Stressed Maize Germplasm Using SSR Markers
    Muhammad Zahaib Ilyas, Hyeon Park, So Jung Jang, Jungeun Cho, Kyu Jin Sa, Ju Kyong Lee
    Plants.2023; 12(24): 4092.     CrossRef
  • Uncovering microsatellite markers associated with agronomic traits of South Sudan landrace maize
    Emmanuel Andrea Mathiang, Hyeon Park, So Jung Jang, Jungeun Cho, Tae Hyeon Heo, Ju Kyong Lee
    Genes & Genomics.2023; 45(12): 1587.     CrossRef
  • Morphological Variation in Normal Maize Landrace Accessions Collected from South Sudan
    Emmanuel Andrea Mathiang, Kyu Jin Sa, Hyeon Park, So Jung Jang, Ju Kyong Lee
    Plant Breeding and Biotechnology.2023; 11(1): 15.     CrossRef
  • Genetic diversity and population structure analysis in early generations maize inbreds derived from local germplasm of Eastern Himalayan regions using microsatellite markers
    E. Lamalakshmi Devi, Umakanta Ngangkham, Sunil Kumar Chongtham, Bhuvaneswari S, Ingudam Bhupenchandra, Konsam Sarika, Harendra Verma, Akoijam Ratankumar Singh, Amit Kumar, Tensubam Basanta Singh, Amit Kumar, T. L. Bhutia, S. K. Dutta, Shaon Kumar Das, Ram
    Plant Genetic Resources: Characterization and Utilization.2023; 21(5): 418.     CrossRef
  • Identification of SSR Markers Associated with Yield-Related Traits and Heterosis Effect in Winter Oilseed Rape (Brassica Napus L.)
    Joanna Wolko, Agnieszka Łopatyńska, Łukasz Wolko, Jan Bocianowski, Katarzyna Mikołajczyk, Alina Liersch
    Agronomy.2022; 12(7): 1544.     CrossRef
  • Genetic Diversity and Population Structure of Normal Maize Germplasm Collected in South Sudan Revealed by SSR Markers
    Emmanuel Andrea Mathiang, Kyu Jin Sa, Hyeon Park, Yeon Joon Kim, Ju Kyong Lee
    Plants.2022; 11(20): 2787.     CrossRef
  • Using of Molecular Markers in Prediction of Wheat (Triticum aestivum L.) Hybrid Grain Yield Based on Artificial Intelligence Methods and Multivariate Statistics
    E. E. Shamsabadi, H. Sabouri, H. Soughi, S. J. Sajadi
    Russian Journal of Genetics.2022; 58(5): 603.     CrossRef
  • Genetic characterization and association mapping in near-isogenic lines of waxy maize using seed characteristics and SSR markers
    Hae Ri Kim, Kyu Jin Sa, Min Nam-Gung, Ki Jin Park, Si-Hwan Ryu, Chang Yeun Mo, Ju Kyong Lee
    Genes & Genomics.2021; 43(1): 79.     CrossRef
  • Genetic variation and association mapping in the F2 population of the Perilla crop (Perilla frutescens L.) using new developed Perilla SSR markers
    Ju Yeon Kim, Kyu Jin Sa, Ye Ju Ha, Ju Kyong Lee
    Euphytica.2021;[Epub]     CrossRef
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Genetic Diversity and Association Analyses of Canadian Maize Inbred Lines with Agronomic Traits and Simple Sequence Repeat Markers
Kyu Jin Sa, Tak Ki Hong, Ju Kyong Lee
Plant Breed. Biotech. 2018;6(2):159-169.   Published online June 1, 2018
DOI: https://doi.org/10.9787/PBB.2018.6.2.159

We evaluated genetic diversity and population structure in 32 Canadian maize inbred lines and performed association analysis for five agronomical traits and 50 simple sequence repeat (SSR) markers. Genetic diversity analysis revealed a total of 381 alleles at the 50 SSR loci. The average number of alleles per locus was 7.6. The average genetic diversity and polymorphic information content values were 0.709 and 0.676, respectively. The average major allele frequency was 0.414. Population structure analysis indicated that these maize inbred lines were comprised of four major groups and one admixed group based on a membership probability threshold of 0.80. A general linear model showed 20 marker-trait associations involving 12 SSR markers associated with the four agronomic traits except for leaf length. For these marker-trait associations, phi056, mmc0022, bnlg1621, bnlg1695, phi116, and bnlg1028 were associated with only one trait. The other nc005, bnlg1012, phi065, and umc1982 were associated with two traits. Two SSR markers, mmc0111 and umc1038, were associated with three traits. These results will help in optimizing the choice of parents for crossing combinations, as well as in selecting markers for marker-assisted selection for maize improvement.

Citations

Citations to this article as recorded by  
  • Harnessing teosinte for quality traits enhancement and genetic diversity in maize
    Pardeep Kumar, Mukesh Choudhary, Seema Sheoran, Bhupender Kumar, Sushil Kumar, Ankush Sharma, Bharat Bhushan, Bahadur Singh Jat, Dharam Paul, Sumit Kumar Aggarwal, Shyam Bir Singh
    Cereal Research Communications.2026; 54(1): 645.     CrossRef
  • Genetic diversity of Turkish colored maize landraces assessed by simple sequence repeat (SSR) markers
    Ezgi Alaca Yıldırım, Fatih Kahrıman, Ferhat Matur
    Genetic Resources and Crop Evolution.2025; 72(8): 9623.     CrossRef
  • DNA Profiling of Indonesian Maize Hybrids and their Parental Lines Using SSR Markers
    Slamet Bambang Priyanto, Lesty Ayu Bidhari, Roy Efendi, Bunyamin Zainuddin, Nining Nurini Andayani, Muhammad Azrai
    Agriculture (Pol'nohospodárstvo).2025; 71(2): 53.     CrossRef
  • Genetic Diversity and Population Structure of Maize (Zea mays L.) Inbred Lines in Association with Phenotypic and Grain Qualitative Traits Using SSR Genotyping
    Rumit Patel, Juned Memon, Sushil Kumar, Dipak A. Patel, Amar A. Sakure, Manish B. Patel, Arna Das, Chikkappa G. Karjagi, Swati Patel, Ujjaval Patel, Rajib Roychowdhury
    Plants.2024; 13(6): 823.     CrossRef
  • Association Mapping for Evaluation of Population Structure, Genetic Diversity, and Physiochemical Traits in Drought-Stressed Maize Germplasm Using SSR Markers
    Muhammad Zahaib Ilyas, Hyeon Park, So Jung Jang, Jungeun Cho, Kyu Jin Sa, Ju Kyong Lee
    Plants.2023; 12(24): 4092.     CrossRef
  • Application Marker-Assisted Selection (MAS) and Multiplex PCR Reactions in Resistance Breeding of Maize (Zea mays L.)
    Aleksandra Sobiech, Agnieszka Tomkowiak, Jan Bocianowski, Bartosz Nowak, Dorota Weigt, Danuta Kurasiak-Popowska, Michał Kwiatek, Sylwia Mikołajczyk, Janetta Niemann, Katarzyna Szewczyk
    Agriculture.2022; 12(9): 1412.     CrossRef
  • Fuzzy model for clustering open pollinated maize variety released in Indonesia
    Muhammad Aqil, N.N. Andayani, T Fahdiana, Suwardi
    IOP Conference Series: Earth and Environmental Science.2020; 484: 012046.     CrossRef
  • Characterization of Mimban maize landrace from North-Eastern Himalayan region using microsatellite markers
    Nenavath Krishna Kumar Rathod, Jyoti Kumari, Firoz Hossain, Rashmi Chhabra, Somnath Roy, Ganjalagatta Dasaiah Harish, Rakesh Bhardwaj, Raveendra N. Gadag, Anup Kumar Misra
    Journal of Plant Biochemistry and Biotechnology.2020; 29(2): 323.     CrossRef
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