Sparse testing designs for optimizing predictive ability in sugarcane populations

Sparse testing designs for optimizing predictive ability in sugarcane populations

Sugarcane is a crucial crop for sugar and bioenergy production. Saccharose content and total weight are the two main key commercial traits that compose sugarcane’s yield. These traits are under complex genetic control and their response patterns are influenced by the genotype-by-environment (G×E) in...

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Bibliographic Details
Main Authors: Julian Garcia-Abadillo, Paul Adunola, Fernando Silva Aguilar, Jhon Henry Trujillo-Montenegro, John Jaime Riascos, Reyna Persa, Julio Isidro y Sanchez, Diego Jarquín
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-07-01
Series:Frontiers in Plant Science
Subjects:
genomic selection GS
genomic prediction GP
sparse testing designs
optimization
sugarcane breeding
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1400000/full
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https://www.frontiersin.org/articles/10.3389/fpls.2024.1400000/full

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