Mega-environment analysis to assess adaptability, stability, and genomic predictions in grain sorghum hybrids
Author:
Publisher
Springer Science and Business Media LLC
Subject
Horticulture,Plant Science,Genetics,Agronomy and Crop Science
Link
https://link.springer.com/content/pdf/10.1007/s10681-022-03075-z.pdf
Reference83 articles.
1. Acosta-Pech R, Crossade los Campos G, J et al (2017) Genomic models with genotype × environment interaction for predicting hybrid performance: an application in maize hybrids. Theor Appl Genet 130:1431–1440. https://doi.org/10.1007/s00122-017-2898-0
2. Alves FC, Granato ÍSC, Galli G et al (2019) Bayesian analysis and prediction of hybrid performance. Plant Methods 15:14. https://doi.org/10.1186/s13007-019-0388-x
3. Alves FC, Galli G, Matias FI et al (2021) Impact of the complexity of genotype by environment and dominance modeling on the predictive accuracy of maize hybrids in multi-environment prediction models. Euphytica. https://doi.org/10.1007/s10681-021-02779-y
4. Ansarifard I, Mostafavi K, Khosroshahli M et al (2020) A study on genotype–environment interaction based on GGE biplot graphical method in sunflower genotypes (Helianthus annuus L.). Food Sci Nutr 8:3327–3334. https://doi.org/10.1002/fsn3.1610
5. Balestre M, dos Santos VB, Soares AA, Reis MS (2010) Stability and adaptability of upland rice genotypes. Crop Breed Appl Biotechnol 10:357–363. https://doi.org/10.1590/S1984-70332010000400011
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