AIMC Topic: Plant Breeding

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Genomic prediction using machine learning: a comparison of the performance of regularized regression, ensemble, instance-based and deep learning methods on synthetic and empirical data.

BMC genomics Feb 7, 2024
BACKGROUND: The accurate prediction of genomic breeding values is central to genomic selection in both plant and animal breeding studies. Genomic prediction involves the use of thousands of molecular markers spanning the entire genome and therefore r...
Machine Learning Animals Genome Plant Breeding Deep Learning Genomics
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Ridge regression and deep learning models for genome-wide selection of complex traits in New Mexican Chile peppers.

BMC genomic data Dec 18, 2023
BACKGROUND: Genomewide prediction estimates the genomic breeding values of selection candidates which can be utilized for population improvement and cultivar development. Ridge regression and deep learning-based selection models were implemented for ...
Plant Breeding Selection, Genetic Capsicum Quantitative Trait Loci Multifactorial Inheritance Deep Learning Bayes Theorem
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Cyber-agricultural systems for crop breeding and sustainable production.

Trends in plant science Aug 28, 2023
The cyber-agricultural system (CAS) represents an overarching framework of agriculture that leverages recent advances in ubiquitous sensing, artificial intelligence, smart actuators, and scalable cyberinfrastructure (CI) in both breeding and producti...
Artificial Intelligence Agriculture Plant Breeding
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Machine learning applications to improve flavor and nutritional content of horticultural crops through breeding and genetics.

Current opinion in biotechnology Jul 27, 2023
Over the last decades, significant strides were made in understanding the biochemical factors influencing the nutritional content and flavor profile of fruits and vegetables. Product differentiation in the produce aisle is the natural consequence of ...
Machine Learning Phenotype Crops, Agricultural Plant Breeding Artificial Intelligence
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Deep learning-enabled discovery and characterization of HKT genes in Spartina alterniflora.

The Plant journal : for cell and molecular biology Jul 26, 2023
Spartina alterniflora is a halophyte that can survive in high-salinity environments, and it is phylogenetically close to important cereal crops, such as maize and rice. It is of scientific interest to understand why S. alterniflora can live under suc...
Genes, Plant Plant Breeding Deep Learning Oryza Poaceae
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Detecting SNP markers discriminating horse breeds by deep learning.

Scientific reports Jul 18, 2023
The assignment of an individual to the true population of origin using a low-panel of discriminant SNP markers is one of the most important applications of genomic data for practical use. The aim of this study was to evaluate the potential of differe...
Genotype Alleles Polymorphism, Single Nucleotide Horses Plant Breeding Animals Deep Learning
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Machine Learning-Assisted Approaches in Modernized Plant Breeding Programs.

Genes Mar 23, 2023
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 developed and used in plant breeding to accelerate crop improvem...
Machine Learning Crops, Agricultural Plant Breeding Artificial Intelligence
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Estimation of Off-Target Dicamba Damage on Soybean Using UAV Imagery and Deep Learning.

Sensors (Basel, Switzerland) Mar 19, 2023
Weeds can cause significant yield losses and will continue to be a problem for agricultural production due to climate change. Dicamba is widely used to control weeds in monocot crops, especially genetically engineered dicamba-tolerant (DT) dicot crop...
Crops, Agricultural Herbicides Glycine max Plant Breeding Deep Learning Plant Weeds Unmanned Aerial Devices Dicamba
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Deep-learning-based automatic evaluation of rice seed germination rate.

Journal of the science of food and agriculture Nov 24, 2022
BACKGROUND: Rice is an important food crop plant in the world and is also a model plant for genetics and breeding research. The germination rate is an important indicator that measures the performance of rice seeds. Currently, solutions involving ima...
Germination Oryza Plant Breeding Humans Seeds Deep Learning
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PollenDetect: An Open-Source Pollen Viability Status Recognition System Based on Deep Learning Neural Networks.

International journal of molecular sciences Nov 3, 2022
Pollen grains, the male gametophytes for reproduction in higher plants, are vulnerable to various stresses that lead to loss of viability and eventually crop yield. A conventional method for assessing pollen viability is manual counting after stainin...
Pollen Deep Learning Plant Breeding Hot Temperature Software
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