Comparative study between phenotypic and genomic analyses aimed at choosing parents for hybridization purposes

Author:

Chagas Francyse Edite de OliveiraORCID,Silva Michele Jorge daORCID,Silva Júnior Antônio Carlos daORCID,Rosado Renato Domiciano SilvaORCID,Cruz Cosme DamiãoORCID

Abstract

The development of superior cultivars involves parents with superiority for the traits of interest and wide genetic variability. Efficient plant breeding and selection strategies that allow for the identification of superior genotypes are essential in breeding programs. This work aims to carry out a comparative study between several strategies for choosing parents, for hybridization purposes, based on phenotypic analysis and molecular information. To obtain the phenotypic and genotypic information of the parents, data simulation was used. For genotyping, 2000 single nucleotide polymorphism markers were used, and from all possible gametes to be formed (22000), 5000 were randomly sampled to form each of the 100 individuals of the population of recombinant inbred strains. To obtain the phenotypic information, five characteristics with different levels of complexity were simulated. The comparative study was carried out using data referring to simulated genotypic values of hybrids and parents. Then, aiming to choose the parents destined for hybridization, different traditional selection strategies based on phenotypic analysis and the genome-wide selection methodology were approached. The genomic information resulted in the choice of the best lines and in obtaining superior hybrids when compared with traditional methodologies. The inclusion of the genomic genetic values of the parents in determining the crosses to be carried out increases the probability of generating phenotypically superior hybrids. Thus, the traditional methods of choosing parents for hybridization purposes are effective, but when incorporating the information from genome-wide selection, the choice of parents provides superior and promising results.

Publisher

Universidade Estadual de Maringa

Subject

Agronomy and Crop Science

Reference41 articles.

1. Ahmar, S., Gill, R. A., Jung, K. H., Faheem, A., Qasim, M. U., Mubeen, M., & Zhou, W. (2020). Conventional and molecular techniques from simple breeding to speed breeding in crop plants: recent advances and future outlook. International Journal of Molecular Sciences, 21(7), 1-24. DOI: https://doi.org/10.3390/ijms21072590

2. Alkimim, E.R., Caixeta, E.T., Sousa, T.V., Resende, M. D. V., Silva, F. L., Sakiyama, N. S., & Zambolin, L. (2020). Selective efficiency of genome-wide selection in Coffea canephora breeding. Tree Genetics & Genomes, 16(3), 1-11. DOI: https://doi.org/10.1007/s11295-020-01433-3

3. Almeida, C. P., Carvalho Paulino, J. F., Carbonell, S. A. M., Chiorato, A. F., Song, Q., Di Vittori, V., ... Benchimol-Reis, L. L. (2020). Genetic diversity, population structure, and Andean introgression in Brazilian common bean cultivars after half a century of genetic breeding. Genes, 11(11), 1-22. DOI: https://doi.org/10.3390/genes11111298

4. Barbosa, I. D. P., Silva, M. J., Costa, W. G., Castro Sant'Anna, I., Nascimento, M., & Cruz, C. D. (2021). Genome-enabled prediction through machine learning methods considering different levels of trait complexity. Crop Science, 61(3),1890-1902. DOI: https://doi.org/10.1002/csc2.20488

5. Barros, L. M., Prochnow, D., Oliveira, V. F., Silva, Oliveira, A. C., & Maia, A. C. (2019). Characterization of open-pollinated maize varieties from Rio Grande do Sul State. Journal of Crop Science and Biotechnology, 22(1), 31-36. DOI: https://doi.org/10.1007/s12892-018-0051-0

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3