scholarly journals Revisiting multi‐stage models for upstream technology adoption: Evidence from rapid generation advance in rice breeding

2021 ◽  
Author(s):  
Bert Lenaerts ◽  
Yann de Mey ◽  
Matty Demont
Keyword(s):  
Technology Adoption ◽  
Rice Breeding ◽  
Stage Models ◽  
Multi Stage ◽  
Rapid Generation Advance ◽  
Rapid Generation

scholarly journals Revisiting rice breeding methods – evaluating the use of rapid generation advance (RGA) for routine rice breeding

2017 ◽  
Vol 20 (4) ◽  
pp. 337-352 ◽  
Author(s):  
Bertrand C. Y. Collard ◽  
Joseph C. Beredo ◽  
Bert Lenaerts ◽  
Rhulyx Mendoza ◽  
Ronald Santelices ◽  
...  
Keyword(s):  
Rice Breeding ◽  
Breeding Methods ◽  
Rapid Generation Advance ◽  
Rapid Generation

A Bayesian approach for parameter estimation in multi-stage models

2018 ◽  
Vol 48 (10) ◽  
pp. 2459-2482 ◽  
Author(s):  
Hoa Pham ◽  
Darfiana Nur ◽  
Huong T. T. Pham ◽  
Alan Branford
Keyword(s):  
Parameter Estimation ◽  
Bayesian Approach ◽  
Stage Models ◽  
Multi Stage

Tools for transforming wheat breeding: genomic selection, rapid generation advance and database-based decision support.

2021 ◽  
pp. 213-224
Author(s):  
Umesh R. Rosyara ◽  
Kate Dreher ◽  
Bhoja R. Basnet ◽  
Susanne Dreisigacker
Keyword(s):  
Machine Learning ◽  
Decision Support ◽  
Genomic Selection ◽  
Rapid Evolution ◽  
Wheat Breeding ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Breeding Methodology ◽  
Rapid Generation Advance ◽  
Rapid Generation

Abstract This chapter discusses the increased implications in the current breeding methodology of wheat, such as rapid evolution of new sequencing and genotyping technologies, automation of phenotyping, sequencing and genotyping methods and increased use of prediction and machine learning methods. Some of the strategies that will further transform wheat breeding in the next few years are also presented.

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