Machine learning-assisted approaches in modernized plant breeding programs

M Yoosefzadeh Najafabadi, M Hesami, M Eskandari - Genes, 2023 - mdpi.com
In the face of a growing global population, plant breeding is being used as a sustainable tool
for increasing food security. A wide range of high-throughput omics technologies have been …

Temperature‐smart plants: A new horizon with omics‐driven plant breeding

A Raza, S Bashir, T Khare, B Karikari… - Physiologia …, 2024 - Wiley Online Library
The adverse effects of mounting environmental challenges, including extreme temperatures,
threaten the global food supply due to their impact on plant growth and productivity …

Recent advances in artificial intelligence, mechanistic models, and speed breeding offer exciting opportunities for precise and accelerated genomics‐assisted …

JA Bhat, X Feng, ZA Mir, A Raina… - Physiologia …, 2023 - Wiley Online Library
Given the challenges of population growth and climate change, there is an urgent need to
expedite the development of high‐yielding stress‐tolerant crop cultivars. While traditional …

Genome-wide association studies of soybean yield-related hyperspectral reflectance bands using machine learning-mediated data integration methods

M Yoosefzadeh-Najafabadi, S Torabi… - Frontiers in plant …, 2021 - frontiersin.org
In conjunction with big data analysis methods, plant omics technologies have provided
scientists with cost-effective and promising tools for discovering genetic architectures of …

Deep learning-based phenoty** for genome wide association studies of sudden death syndrome in soybean

A Rairdin, F Fotouhi, J Zhang, DS Mueller… - Frontiers in plant …, 2022 - frontiersin.org
Using a reliable and accurate method to phenotype disease incidence and severity is
essential to unravel the complex genetic architecture of disease resistance in plants, and to …

[PDF][PDF] Applications of Artificial Intelligence (AI) in Cannabis Industries: In Vitro Plant Tissue Culture

RB Malabadi, T Nethravathi, KP Kolkar… - … Journal of Research …, 2023 - researchgate.net
This review paper highlights the application of artificial intelligence (AI) in Cannabis
industries. Growing Cannabis especially on a large scale can come with several complex …

[HTML][HTML] Machine Learning-Assisted In Vitro Rooting Optimization in Passiflora caerulea

M Jafari, MH Daneshvar, S Jafari, M Hesami - Forests, 2022 - mdpi.com
In vitro rooting as one of the most critical steps of micropropagation is affected by various
extrinsic (eg, medium composition, auxins) and intrinsic factors (eg, species, explant). In …

[HTML][HTML] Optimizing genomic selection in soybean: An important improvement in agricultural genomics

M Yoosefzadeh-Najafabadi, I Rajcan, M Eskandari - Heliyon, 2022 - cell.com
Fast-paced yield improvement in strategic crops such as soybean is pivotal for achieving
sustainable global food security. Precise genomic selection (GS), as one of the most …

[HTML][HTML] Application of SVR-mediated GWAS for identification of durable genetic regions associated with soybean seed quality traits

M Yoosefzadeh-Najafabadi, S Torabi, D Tulpan… - Plants, 2023 - mdpi.com
Soybean (Glycine max L.) is an important food-grade strategic crop worldwide because of its
high seed protein and oil contents. Due to the negative correlation between seed protein …

Genome-wide association study statistical models: A review

M Yoosefzadeh-Najafabadi, M Eskandari… - Genome-Wide …, 2022 - Springer
Statistical models are at the core of the genome-wide association study (GWAS). In this
chapter, we provide an overview of single-and multilocus statistical models, Bayesian, and …