Harnessing Multi-Omics Strategies and Bioinformatics Innovations for Advancing Soybean Improvement: A Comprehensive Review DOI Creative Commons
Siwar Haidar,

Julia Hooker,

Simon Lackey

и другие.

Plants, Год журнала: 2024, Номер 13(19), С. 2714 - 2714

Опубликована: Сен. 28, 2024

Soybean improvement has entered a new era with the advent of multi-omics strategies and bioinformatics innovations, enabling more precise efficient breeding practices. This comprehensive review examines application approaches in soybean-encompassing genomics, transcriptomics, proteomics, metabolomics, epigenomics, phenomics. We first explore pre-breeding genomic selection as tools that have laid groundwork for advanced trait improvement. Subsequently, we dig into specific contributions each -omics field, highlighting how resources facilitated generation integration multifaceted data. The emphasizes power integrating datasets to elucidate complex traits drive development superior soybean cultivars. Emerging trends, including novel computational techniques high-throughput technologies, are discussed context their potential revolutionize breeding. Finally, address challenges associated propose future directions overcome these hurdles, aiming accelerate pace serves crucial resource researchers breeders seeking leverage enhanced productivity resilience.

Язык: Английский

Feasibility of using silica (Na2SiO3 and SiO2NPs) to mitigate mercury in transgenic soybeans grown in contaminated soils and respective effects on nutrient homeostasis DOI
Vinnícius Henrique Cerqueira da Silva,

Rodrigo Faleiro de Lima,

Juliana Lischka Sampaio Mayer

и другие.

Environmental Science and Pollution Research, Год журнала: 2025, Номер 32(12), С. 7600 - 7619

Опубликована: Март 5, 2025

Язык: Английский

Процитировано

0
Significance determination of individual metabolic abundance changes owing to environmental impacts: Factorial design t-distribution spectral representations DOI
Gustavo Galo Marcheafave, Leonardo J. Duarte, Elis Daiane Pauli

и другие.

Chemometrics and Intelligent Laboratory Systems, Год журнала: 2025, Номер unknown, С. 105413 - 105413

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Assessment of the impact of biodegradable lignin nanoparticles encapsulating IAA on tomato development: from seed to fruit DOI Creative Commons
Rodrigo Faleiro, Magda Andréia Tessmer, Anderson do Espírito Santo Pereira

и другие.

BMC Plant Biology, Год журнала: 2025, Номер 25(1)

Опубликована: Июнь 5, 2025

Язык: Английский

Процитировано

0
Harnessing Multi-Omics Strategies and Bioinformatics Innovations for Advancing Soybean Improvement: A Comprehensive Review DOI Creative Commons
Siwar Haidar,

Julia Hooker,

Simon Lackey

и другие.

Plants, Год журнала: 2024, Номер 13(19), С. 2714 - 2714

Опубликована: Сен. 28, 2024

Soybean improvement has entered a new era with the advent of multi-omics strategies and bioinformatics innovations, enabling more precise efficient breeding practices. This comprehensive review examines application approaches in soybean-encompassing genomics, transcriptomics, proteomics, metabolomics, epigenomics, phenomics. We first explore pre-breeding genomic selection as tools that have laid groundwork for advanced trait improvement. Subsequently, we dig into specific contributions each -omics field, highlighting how resources facilitated generation integration multifaceted data. The emphasizes power integrating datasets to elucidate complex traits drive development superior soybean cultivars. Emerging trends, including novel computational techniques high-throughput technologies, are discussed context their potential revolutionize breeding. Finally, address challenges associated propose future directions overcome these hurdles, aiming accelerate pace serves crucial resource researchers breeders seeking leverage enhanced productivity resilience.

Язык: Английский

Процитировано

2