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Machine learning-assisted approaches in modernized plant breeding programs
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 …
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
The adverse effects of mounting environmental challenges, including extreme temperatures,
threaten the global food supply due to their impact on plant growth and productivity …
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 …
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
chapter, we provide an overview of single-and multilocus statistical models, Bayesian, and …