Applications and Trends of Machine Learning in Genomics and Phenomics for Next-Generation Breeding
Crops are the major source of food supply and raw materials for the processing industry. A balance between crop production and food consumption is continually threatened by plant diseases and adverse environmental conditions. This leads to serious losses every year and results in food shortages, par...
Main Authors: | Salvatore Esposito, Domenico Carputo, Teodoro Cardi, Pasquale Tripodi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-12-01
|
Series: | Plants |
Subjects: | |
Online Access: | https://www.mdpi.com/2223-7747/9/1/34 |
Similar Items
-
Integrating Genomic and Phenomic Breeding Selection Tools with Field Practices to Improve Seed Composition Quality Traits in Soybean
by: Singer, William Monte
Published: (2021) -
The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics Data
by: Jose Crossa, et al.
Published: (2021-04-01) -
An integrative functional genomics framework for effective identification of novel regulatory variants in genome–phenome studies
by: Junfei Zhao, et al.
Published: (2018-01-01) -
Plant Phenotyping and Phenomics for Plant Breeding
Published: (2018) -
Phenomics, Genomics and Genetics in Plasmodium vinckei
by: Ramaprasad, Abhinay
Published: (2017)