Genome-wide association mapping and genomic prediction analyses reveal the genetic architecture of grain yield and agronomic traits under drought and optimum conditions in maize

Genome-wide association mapping and genomic prediction analyses reveal the genetic architecture of grain yield and agronomic traits under drought and optimum conditions in maize

Abstract Background Drought is a major abiotic stress in sub-Saharan Africa, impacting maize growth and development leading to severe yield loss. Drought tolerance is a complex trait regulated by multiple genes, making direct grain yield selection ineffective. To dissect the genetic architecture of...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Manigben Kulai Amadu, Yoseph Beyene, Vijay Chaikam, Pangirayi B. Tongoona, Eric Y. Danquah, Beatrice E. Ifie, Juan Burgueno, Boddupalli M. Prasanna, Manje Gowda
Μορφή: Άρθρο
Γλώσσα:English
Έκδοση: BMC 2025-02-01
Σειρά:BMC Plant Biology
Θέματα:
Maize
Yield
Drought
Genome-wide association study
Haplotype
Genomic prediction
Διαθέσιμο Online:https://doi.org/10.1186/s12870-025-06135-3

Διαδίκτυο

https://doi.org/10.1186/s12870-025-06135-3

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