AIMC Topic: Plant Breeding

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TrG2P: A transfer-learning-based tool integrating multi-trait data for accurate prediction of crop yield.

Plant communications May 15, 2024
Yield prediction is the primary goal of genomic selection (GS)-assisted crop breeding. Because yield is a complex quantitative trait, making predictions from genotypic data is challenging. Transfer learning can produce an effective model for a target...
Neural Networks, Computer Triticum Oryza Crops, Agricultural Plant Breeding Genotype Zea mays Machine Learning Phenotype
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Enhancing genome-wide populus trait prediction through deep convolutional neural networks.

The Plant journal : for cell and molecular biology May 13, 2024
As a promising model, genome-based plant breeding has greatly promoted the improvement of agronomic traits. Traditional methods typically adopt linear regression models with clear assumptions, neither obtaining the linkage between phenotype and genot...
Deep Learning Genotype Neural Networks, Computer Phenotype Plant Breeding Bayes Theorem Populus Genome, Plant
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PlantMine: A Machine-Learning Framework to Detect Core SNPs in Rice Genomics.

Genes May 9, 2024
As a fundamental global staple crop, rice plays a pivotal role in human nutrition and agricultural production systems. However, its complex genetic architecture and extensive trait variability pose challenges for breeders and researchers in optimizin...
Plant Breeding Oryza Genome, Plant Genomics Polymorphism, Single Nucleotide Machine Learning
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Machine learning methods in near infrared spectroscopy for predicting sensory traits in sweetpotatoes.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 4, 2024
It has been established that near infrared (NIR) spectroscopy has the potential of estimating sensory traits given the direct spectral responses that these properties have in the NIR region. In sweetpotato, sensory and texture traits are key for impr...
Models, Statistical Sensation Spectroscopy, Near-Infrared Food Analysis Plant Breeding Ipomoea batatas Food Quality Humans Machine Learning Algorithms
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BreedingAIDB: A database integrating crop genome-to-phenotype paired data with machine learning tools applicable to breeding.

Plant communications Apr 3, 2024
Crops, Agricultural Genome, Plant Plant Breeding Phenotype Databases, Genetic Machine Learning
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A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction.

Scientific reports Mar 11, 2024
To explore a robust tool for advancing digital breeding practices through an artificial intelligence-driven phenotype prediction expert system, we undertook a thorough analysis of 11 non-linear regression models. Our investigation specifically emphas...
Artificial Intelligence Algorithms Glycine max 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 Plant Breeding Genomics Animals Genome Deep Learning
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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 ...
Selection, Genetic Capsicum Deep Learning Bayes Theorem Quantitative Trait Loci Plant Breeding Multifactorial Inheritance
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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 ...
Plant Breeding Phenotype Artificial Intelligence Crops, Agricultural Machine Learning
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