Oil palm (Elaeis guineensis Jacq.) germplasm genome-wide association analysis for the oil yield traits utilizing microsatellite markers

被引:1
|
作者
Bhagya, H. P. [1 ]
Babu, B. Kalyana [2 ]
Mathur, R. K. [3 ]
Ramajayam, D. [4 ]
Ravichandran, G. [2 ]
Anitha, P. [2 ]
机构
[1] ICAR Directorate Cashew Res, Puttur 574202, Karnataka, India
[2] ICAR Indian Inst Oil Palm Res, Pedavegi 534450, Andhra Pradesh, India
[3] ICAR Indian Inst oil seed Res, Hyderabad 500030, India
[4] ICAR Indian Inst Soil & Water Conservat, Sunabeda 763002, Odisha, India
关键词
Correlation; Mapping; Oil to bunch ratio; Principal component analysis; Quantitative trait locus; GENETIC DIVERSITY; LOCI; PERFORMANCE; ACCESSIONS;
D O I
10.1016/j.indcrop.2024.118934
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The genome-wide association study used 115 oil palm genotypes and assessed seven oil properties using fifty-four SSR markers. The diversity analysis study classified these genotypes into two major groupings. The mixed linear model (MLM) method revealed a significant correlation between mEgCIR0037 and mEgCIR0782 and the kernel-to-fruit (KF) ratio (p<0.01). The shell-to-fruit ratio trait was associated with mEgCIR0425, whereas the oil-to-dry mesocarp (ODM) trait was linked to mEgCIR0782. QTLs discovered during validation can be utilized to revalidate in different populations. Among these genotypes, 21 tenera (>24 %) and 30 dura (>20 %) had a high oil-to-bunch ratio. The genotypes IC0610002-79, IC0610005-103, IC0610011-181, ICO610013-224, and IC0610018-23 had oil-to-bunch ratios greater than 30 %. The genotypes that have been found are appropriate for use in breeding programs to generate parental material for the creation of hybrids.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Genome-wide association analysis of milk yield traits in Nordic Red Cattle using imputed whole genome sequence variants
    Iso-Touru, T.
    Sahana, G.
    Guldbrandtsen, B.
    Lund, M. S.
    Vilkki, J.
    BMC GENETICS, 2016, 17
  • [42] A Genome-Wide Association Study for Agronomic Traits in Soybean Using SNP Markers and SNP-Based Haplotype Analysis
    Contreras-Soto, Rodrigo Ivan
    Mora, Freddy
    Rott de Oliveira, Marco Antonio
    Higashi, Wilson
    Scapim, Carlos Alberto
    Schuster, Ivan
    PLOS ONE, 2017, 12 (02):
  • [43] Genetic control of plasticity of oil yield for combined abiotic stresses using a joint approach of crop modelling and genome-wide association
    Mangin, Brigitte
    Casadebaig, Pierre
    Cadic, Elena
    Blanchet, Nicolas
    Boniface, Marie-Claude
    Carrere, Sebastien
    Gouzy, Jerome
    Legrand, Ludovic
    Mayjonade, Baptiste
    Pouilly, Nicolas
    Andre, Thierry
    Coque, Marie
    Piquemal, Joel
    Laporte, Marion
    Vincourt, Patrick
    Munos, Stephane
    Langlade, Nicolas B.
    PLANT CELL AND ENVIRONMENT, 2017, 40 (10) : 2276 - 2291
  • [44] Genome-wide association analysis using multi model approach identified novel associations for plant architectural traits in chickpea germplasm collection
    Raiya, Rahul
    Yadav, Hemant Kumar
    Kumar, Kuldeep
    Prakash, Nitish Ranjan
    Parida, Swarup Kumar
    Bharadwaj, Chellapilla
    Hegde, Venkatraman
    Tripathi, Shailesh
    NUCLEUS-INDIA, 2025,
  • [45] Integrated multi-locus genome-wide association studies and transcriptome analysis for seed yield and yield-related traits in Brassica napus
    Zhang, Cuiping
    Gong, Ruolin
    Zhong, Hua
    Dai, Chunyan
    Zhang, Ru
    Dong, Jungang
    Li, Yangsheng
    Liu, Shuai
    Hu, Jihong
    FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [46] Diversity analysis and genome-wide association studies of grain shape and eating quality traits in rice (Oryza sativa L.) using DArT markers
    Mogga, Maurice
    Sibiya, Julia
    Shimelis, Hussein
    Lamo, Jimmy
    Yao, Nasser
    PLOS ONE, 2018, 13 (06):
  • [47] Genome-Wide Association Study of Soybean Germplasm Derived From Canadian x Chinese Crosses to Mine for Novel Alleles to Improve Seed Yield and Seed Quality Traits
    Priyanatha, Chanditha
    Torkamaneh, Davoud
    Rajcan, Istvan
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [48] Genome-wide association analysis for yield-related traits at the R6 stage in a Chinese soybean mini core collection
    Li, Xiangnan
    Zhou, Yang
    Bu, Yuanpeng
    Wang, Xinfang
    Zhang, Yumei
    Guo, Na
    Zhao, Jinming
    Xing, Han
    GENES & GENOMICS, 2021, 43 (08) : 897 - 912
  • [49] Genome-wide association analysis revealed genetic variation and candidate genes associated with the yield traits of upland cotton under drought conditions
    Sun, Fenglei
    Ma, Jun
    Shi, Weijun
    Yang, Yanlong
    FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [50] Allelic Diversity, Structural Analysis, and Genome-Wide Association Study (GWAS) for Yield and Related Traits Using Unexplored Common Bean (Phaseolus vulgaris L.) Germplasm From Western Himalayas
    Mir, Reyazul Rouf
    Choudhary, Neeraj
    Bawa, Vanya
    Jan, Sofora
    Singh, Bikram
    Bhat, Mohd Ashraf
    Paliwal, Rajneesh
    Kumar, Ajay
    Chitikineni, Annapurna
    Thudi, Mahendar
    Varshney, Rajeev Kumar
    FRONTIERS IN GENETICS, 2021, 11