Strategies to Assure Optimal Trade-Offs Among Competing Objectives for the Genetic Improvement of Soybean
Plant breeding is a decision-making discipline based on understanding project objectives. Genetic improvement projects can have two competing objectives: maximize the rate of genetic improvement and minimize the loss of useful genetic variance. For commercial plant breeders, competition in the marke...
Main Authors: | Vishnu Ramasubramanian, William D. Beavis |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-09-01
|
Series: | Frontiers in Genetics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2021.675500/full |
Similar Items
-
Genomic introgression through interspecific hybridization counteracts genetic bottleneck during soybean domestication
by: Xutong Wang, et al.
Published: (2019-01-01) -
Multi-objective time-cost optimization using Cobb-Douglas production function and hybrid genetic algorithm
by: Zhigang Shen, et al.
Published: (2016-03-01) -
Bias in the prediction of genetic gain due to mass and half-sib selection in random mating populations
by: José Marcelo Soriano Viana, et al.
Published: (2009-01-01) -
Genetic gain of ‘Valenciana’ onion populations developed in the Brazilian Semi-Arid region
by: Antonio Esmael Silva de Oliveira, et al.
Published: (2017-04-01) -
Modelling of a Roulette Wheel Selection Operator in Genetic Algorithms Using Generalized Nets
by: Pencheva T., et al.
Published: (2009-12-01)