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 …
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 …
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 …
Machine learning-mediated Passiflora caerulea callogenesis optimization
M Jafari, MH Daneshvar - PLoS One, 2024 - journals.plos.org
Callogenesis is one of the most powerful biotechnological approaches for in vitro secondary
metabolite production and indirect organogenesis in Passiflora caerulea. Comprehensive …
metabolite production and indirect organogenesis in Passiflora caerulea. Comprehensive …
Prediction and optimization of indirect shoot regeneration of Passiflora caerulea using machine learning and optimization algorithms
M Jafari, MH Daneshvar - BMC biotechnology, 2023 - Springer
Background Optimization of indirect shoot regeneration protocols is one of the key
prerequisites for the development of Agrobacterium-mediated genetic transformation and/or …
prerequisites for the development of Agrobacterium-mediated genetic transformation and/or …
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 …
Deep learning-based phenotyping 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 …
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 …
[HTML][HTML] AllInOne Pre-processing: A comprehensive preprocessing framework in plant field phenotyping
AllInOne Pre-processing is an innovative open-source, R-Shiny user interface package
designed to facilitate the swift and effective preprocessing of plant phenotypic data. AllInOne …
designed to facilitate the swift and effective preprocessing of plant phenotypic data. AllInOne …