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Peer-reviewedCC BYPloS one

Efficient phenotyping of banana (Musa spp.) germplasm for resistance to five biotic constraints using Partially replicated (P-rep) design.

  • Reagan Kanaabi1
  • Gerald Mwanje1
  • Charles Serebe1
  • Happyness Mpanda2
  • Kennedy Jomanga2
  • Brigitte Uwimana1
  • Marnik Vuylsteke3
  • Allan Brown2
  • Rony Swennen1,4
  • Gloria Valentine Nakato1,2
4 affiliations
  1. 1International Institute of Tropical Agriculture (IITA), Namulonge-Sendusu, Uganda.
  2. 2International Institute of Tropical Agriculture (IITA), c/o Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania.
  3. 3Gnomixx B.V., Merelbeke-Melle, Belgium.
  4. 4KU Leuven, Department of Biosystems, Willem De Croylaan 42, Heverlee, Belgium.
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Abstract

Banana breeding programs prioritize improving yield with resistance to biotic stresses while maintaining fruit quality. This study focused on identifying genotypes with resistance to five major biotic constraints including Cosmopolites sordidus, Radopholus similis, banana Xanthomonas wilt, Fusarium oxysporum f. sp. cubense - Race 1 and Pseudocercospora fijiensis. A diverse set of diploid and tetraploid genotypes was phenotyped under controlled screenhouse and field conditions to identify potential sources of. A partially replicated (P-rep) design, was used to accommodate unequal plant availability arising from asynchronous multiplication. P-rep design enabled robust phenotypic comparisons and identification of genotypes expressing resistance to multiple biotic stresses. Several diploid genotypes exhibited resistance to multiple constraints, highlighting their potential as parental lines for resistance introgression and broadening the genetic base for banana improvement. Leveraging on the efficiency and precision of the P-rep experimental design, these findings accelerate the phenotyping of genotypes.

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Cite

BibTeXRIS
BibTeX
@article{kanaabi2026efficient,
  title = {{Efficient phenotyping of banana (Musa spp.) germplasm for resistance to five biotic constraints using Partially replicated (P-rep) design.}},
  author = {Reagan Kanaabi and Gerald Mwanje and Charles Serebe and Happyness Mpanda and Kennedy Jomanga and Brigitte Uwimana and Marnik Vuylsteke and Allan Brown and Rony Swennen and Gloria Valentine Nakato},
  journal = {PloS one},
  year = {2026},
  month = oct,
  doi = {10.1371/journal.pone.0361182},
  url = {https://europepmc.org/article/MED/42912773},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Efficient phenotyping of banana (Musa spp.) germplasm for resistance to five biotic constraints using Partially replicated (P-rep) design.
AU  - Reagan Kanaabi
AU  - Gerald Mwanje
AU  - Charles Serebe
AU  - Happyness Mpanda
AU  - Kennedy Jomanga
AU  - Brigitte Uwimana
AU  - Marnik Vuylsteke
AU  - Allan Brown
AU  - Rony Swennen
AU  - Gloria Valentine Nakato
PY  - 2026
DA  - 2026/10/23
JO  - PloS one
DO  - 10.1371/journal.pone.0361182
UR  - https://europepmc.org/article/MED/42912773
AB  - Banana breeding programs prioritize improving yield with resistance to biotic stresses while maintaining fruit quality. This study focused on identifying genotypes with resistance to five major biotic constraints including Cosmopolites sordidus, Radopholus similis, banana Xanthomonas wilt, Fusarium oxysporum f. sp. cubense - Race 1 and Pseudocercospora fijiensis. A diverse set of diploid and tetraploid genotypes was phenotyped under controlled screenhouse and field conditions to identify potential sources of. A partially replicated (P-rep) design, was used to accommodate unequal plant availability arising from asynchronous multiplication. P-rep design enabled robust phenotypic comparisons and identification of genotypes expressing resistance to multiple biotic stresses. Several diploid genotypes exhibited resistance to multiple constraints, highlighting their potential as parental lines for resistance introgression and broadening the genetic base for banana improvement. Leveraging on the efficiency and precision of the P-rep experimental design, these findings accelerate the phenotyping of genotypes.
SN  - 1932-6203
ER  -