AIMC Topic: Plant Breeding

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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...
Plant Breeding Deep Learning Oryza Poaceae Genes, Plant
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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...
Deep Learning Polymorphism, Single Nucleotide Animals Horses Plant Breeding Genotype Alleles
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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...
Crops, Agricultural Plant Breeding Artificial Intelligence Machine Learning
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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 Deep Learning Plant Weeds Dicamba Glycine max Unmanned Aerial Devices Plant Breeding
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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...
Seeds Germination Oryza Plant Breeding Humans 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...
Plant Breeding Software Hot Temperature Deep Learning Pollen
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The estimation and interpretation of ordered logit models for assessing the factors connected with the productivity of Holstein-Friesian dairy cows in Egypt.

Tropical animal health and production Oct 15, 2022
The incorporation of novel technologies such as artificial intelligence, data mining, and advanced statistical methodologies have received wide responses from researchers. This study was designed to model the factors impacting the actual milk yield o...
Cattle Artificial Intelligence Logistic Models Milk Female Egypt Plant Breeding Animals Lactation
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Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction.

Molecular plant Sep 7, 2022
The first paradigm of plant breeding involves direct selection-based phenotypic observation, followed by predictive breeding using statistical models for quantitative traits constructed based on genetic experimental design and, more recently, by inco...
Artificial Intelligence Genomics Genotype Phenotype Big Data Plant Breeding Selection, Genetic Genome
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High-throughput image-based plant stand count estimation using convolutional neural networks.

PloS one Jul 28, 2022
The landscape of farming and plant breeding is rapidly transforming due to the complex requirements of our world. The explosion of collectible data has started a revolution in agriculture to the point where innovation must occur. To a commercial orga...
Zea mays Algorithms Neural Networks, Computer Plant Breeding Phenotype
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The Classification of Rice Blast Resistant Seed Based on Ranman Spectroscopy and SVM.

Molecules (Basel, Switzerland) Jun 25, 2022
Rice blast is a serious threat to rice yield. Breeding disease-resistant varieties is one of the most economical and effective ways to prevent damage from rice blast. The traditional identification of resistant rice seeds has some shortcoming, such a...
Algorithms Plant Breeding Spectroscopy, Near-Infrared Support Vector Machine Seeds
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