Literature DB >> 31235329

Accelerating Climate Resilient Plant Breeding by Applying Next-Generation Artificial Intelligence.

Antoine L Harfouche1, Daniel A Jacobson2, David Kainer3, Jonathon C Romero3, Antoine H Harfouche4, Giuseppe Scarascia Mugnozza5, Menachem Moshelion6, Gerald A Tuskan3, Joost J B Keurentjes7, Arie Altman8.   

Abstract

Breeding crops for high yield and superior adaptability to new and variable climates is imperative to ensure continued food security, biomass production, and ecosystem services. Advances in genomics and phenomics are delivering insights into the complex biological mechanisms that underlie plant functions in response to environmental perturbations. However, linking genotype to phenotype remains a huge challenge and is hampering the optimal application of high-throughput genomics and phenomics to advanced breeding. Critical to success is the need to assimilate large amounts of data into biologically meaningful interpretations. Here, we present the current state of genomics and field phenomics, explore emerging approaches and challenges for multiomics big data integration by means of next-generation (Next-Gen) artificial intelligence (AI), and propose a workable path to improvement.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Keywords:  augmented breeding; explainable AI; field phenomics; genomics; next-generation artificial intelligence; smart farming

Mesh:

Year:  2019        PMID: 31235329     DOI: 10.1016/j.tibtech.2019.05.007

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  22 in total

1.  Deep Kernel and Deep Learning for Genome-Based Prediction of Single Traits in Multienvironment Breeding Trials.

Authors:  José Crossa; Johannes W R Martini; Daniel Gianola; Paulino Pérez-Rodríguez; Diego Jarquin; Philomin Juliana; Osval Montesinos-López; Jaime Cuevas
Journal:  Front Genet       Date:  2019-12-09       Impact factor: 4.599

Review 2.  Jasmonic acid: a key frontier in conferring abiotic stress tolerance in plants.

Authors:  Ali Raza; Sidra Charagh; Zainab Zahid; Muhammad Salman Mubarik; Rida Javed; Manzer H Siddiqui; Mirza Hasanuzzaman
Journal:  Plant Cell Rep       Date:  2020-10-09       Impact factor: 4.570

3.  From the archives: A rice grain size regulatory module, GWAS of primary plant metabolism, and promoter trapping of polarity markers.

Authors:  Michela Osnato
Journal:  Plant Cell       Date:  2022-09-27       Impact factor: 12.085

Review 4.  Crop breeding for a changing climate: integrating phenomics and genomics with bioinformatics.

Authors:  Jacob I Marsh; Haifei Hu; Mitchell Gill; Jacqueline Batley; David Edwards
Journal:  Theor Appl Genet       Date:  2021-04-14       Impact factor: 5.699

Review 5.  Scaling up high-throughput phenotyping for abiotic stress selection in the field.

Authors:  Daniel T Smith; Andries B Potgieter; Scott C Chapman
Journal:  Theor Appl Genet       Date:  2021-06-02       Impact factor: 5.699

6.  Landscape analyses using eDNA metabarcoding and Earth observation predict community biodiversity in California.

Authors:  Meixi Lin; Ariel Levi Simons; Ryan J Harrigan; Emily E Curd; Fabian D Schneider; Dannise V Ruiz-Ramos; Zack Gold; Melisa G Osborne; Sabrina Shirazi; Teia M Schweizer; Tiara N Moore; Emma A Fox; Rachel Turba; Ana E Garcia-Vedrenne; Sarah K Helman; Kelsi Rutledge; Maura Palacios Mejia; Onny Marwayana; Miroslava N Munguia Ramos; Regina Wetzer; N Dean Pentcheff; Emily Jane McTavish; Michael N Dawson; Beth Shapiro; Robert K Wayne; Rachel S Meyer
Journal:  Ecol Appl       Date:  2021-07-08       Impact factor: 6.105

Review 7.  Integrating High-Throughput Phenotyping and Statistical Genomic Methods to Genetically Improve Longitudinal Traits in Crops.

Authors:  Fabiana F Moreira; Hinayah R Oliveira; Jeffrey J Volenec; Katy M Rainey; Luiz F Brito
Journal:  Front Plant Sci       Date:  2020-05-26       Impact factor: 5.753

8.  A High-Performance Computing Implementation of Iterative Random Forest for the Creation of Predictive Expression Networks.

Authors:  Ashley Cliff; Jonathon Romero; David Kainer; Angelica Walker; Anna Furches; Daniel Jacobson
Journal:  Genes (Basel)       Date:  2019-12-02       Impact factor: 4.096

9.  Night Temperature Determines the Interannual Yield Variation in Hybrid and Inbred Rice Widely Used in Central China Through Different Effects on Reproductive Growth.

Authors:  Liying Huang; Fei Wang; Yi Liu; Yunbo Zhang
Journal:  Front Plant Sci       Date:  2021-06-04       Impact factor: 5.753

10.  Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications.

Authors:  Luis G Riera; Matthew E Carroll; Zhisheng Zhang; Johnathon M Shook; Sambuddha Ghosal; Tianshuang Gao; Arti Singh; Sourabh Bhattacharya; Baskar Ganapathysubramanian; Asheesh K Singh; Soumik Sarkar
Journal:  Plant Phenomics       Date:  2021-06-23
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