Deep learning meets metabolomics: A methodological perspective

P Sen, S Lamichhane, VB Mathema… - Briefings in …, 2021 - academic.oup.com
Deep learning (DL), an emerging area of investigation in the fields of machine learning and
artificial intelligence, has markedly advanced over the past years. DL techniques are being …

[HTML][HTML] Multi-omics revolution to promote plant breeding efficiency

U Mahmood, X Li, Y Fan, W Chang, Y Niu, J Li… - Frontiers in Plant …, 2022 - frontiersin.org
Crop production is the primary goal of agricultural activities, which is always taken into
consideration. However, global agricultural systems are coming under increasing pressure …

[HTML][HTML] The application of multi-locus GWAS for the detection of salt-tolerance loci in rice

Y Cui, F Zhang, Y Zhou - Frontiers in plant science, 2018 - frontiersin.org
Improving the salt-tolerance of direct-seeding rice at the seed germination stage is a major
goal of breeders. Efficiently identifying salt tolerance loci will help researchers develop …

Metabolite database for root, tuber, and banana crops to facilitate modern breeding in understudied crops

EJ Price, M Drapal, L Perez‐Fons, D Amah… - The Plant …, 2020 - Wiley Online Library
Roots, tubers, and bananas (RTB) are vital staples for food security in the world's poorest
nations. A major constraint to current RTB breeding programmes is limited knowledge on the …

[HTML][HTML] Toward integrated multi-omics intervention: rice trait improvement and stress management

Z Iqbal, MS Iqbal, MIR Khan, MI Ansari - Frontiers in Plant Science, 2021 - frontiersin.org
Rice (Oryza sativa) is an imperative staple crop for nearly half of the world's population.
Challenging environmental conditions encompassing abiotic and biotic stresses negatively …

[HTML][HTML] Status and prospects of association mapping in grapevine

J Tello, J Ibáñez - Plant Science, 2023 - Elsevier
Thanks to current advances in sequencing technologies, novel bioinformatics tools, and
efficient modeling solutions, association mapping has become a widely accepted approach …

Identification of optimal prediction models using multi-omic data for selecting hybrid rice

S Wang, J Wei, R Li, H Qu, JM Chater, R Ma, Y Li… - Heredity, 2019 - nature.com
Genomic prediction benefits hybrid rice breeding by increasing selection intensity and
accelerating breeding cycles. With the rapid advancement of technology, other omic data …

[HTML][HTML] Analysis of chemotypes and their markers in leaves of core collections of Eucommia ulmoides using metabolomics

Y Meng, Q Du, H Du, Q Wang, L Wang, L Du… - Frontiers in Plant …, 2023 - frontiersin.org
The leaves of Eucommia ulmoides contain various active compunds and nutritional
components, and have successively been included as raw materials in the Chinese …

[HTML][HTML] Large-scale transcriptome sequencing in broiler chickens to identify candidate genes for breast muscle weight and intramuscular fat content

H Kang, D Zhao, H Xiang, J Li, G Zhao, H Li - Genetics Selection Evolution, 2021 - Springer
Background In broiler production, breast muscle weight and intramuscular fat (IMF) content
are important economic traits. Understanding the genetic mechanisms that underlie these …

Integrating transcriptome and metabolome reveals molecular networks involved in genetic and environmental variation in tobacco

P Liu, J Luo, Q Zheng, Q Chen, N Zhai, S Xu… - DNA …, 2020 - academic.oup.com
Tobacco (Nicotiana tabacum) is one of the most widely cultivated commercial non-food
crops with significant social and economic impacts. Here we profiled transcriptome and …