Maximizing genetic gains while maintaining an efficient sweetpotato breeding cycle in SSA: Lessons from NARO-NaCRRI

cg.authorship.typesCGIAR single centreen
cg.coverage.countryUganda
cg.coverage.iso3166-alpha2UG
cg.coverage.regionSub-Saharan Africa
cg.creator.identifierGodwill Makunde: 0000-0002-9003-7266en
cg.subject.actionAreaGenetic Innovation
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.cipBREEDINGen
cg.subject.cipSWEETPOTATOESen
cg.subject.cipGENETICS, GENOMICS AND CROP IMPROVEMENT SCIENCES GGCIen
cg.subject.cipCROP AND SYSTEMS SCIENCES CSSen
cg.subject.cipBIGDATAen
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactAreaClimate adaptation and mitigation
cg.subject.sdgSDG 2 - Zero hungeren
cg.subject.sdgSDG 13 - Climate actionen
cg.subject.sdgSDG 9 - Industry, innovation and infrastructureen
dc.contributor.authorSerenje, G.en
dc.contributor.authorNjobvu, J.en
dc.contributor.authorMakunde, G.S.en
dc.contributor.authorMusundire, L.en
dc.contributor.authorSneller, C.en
dc.date.accessioned2025-03-25T16:46:47Zen
dc.date.available2025-03-25T16:46:47Zen
dc.identifier.urihttps://hdl.handle.net/10568/173861
dc.titleMaximizing genetic gains while maintaining an efficient sweetpotato breeding cycle in SSA: Lessons from NARO-NaCRRIen
dcterms.abstractThe optimization of sweetpotato breeding pipelines in Sub-Saharan Africa (SSA) is crucial for improving genetic gains while ensuring efficiency in resource allocation. Using the deterministic model, the outcomes to modifications to the national sweetpotato breeding program at NaCRRI-NARO were simulated. Heritability assessments revealed that genotype-by -environment interactions account for just 16% of total phenotypic variation, with moderate heritability observed in stage-1 (0.26) and stage-2 (0.56) trials. The simulations revealed that selection efficiency will be greatly improved by making changes breeding pipeline including 1) reducing plot sizes and replicates in stage-3 trials, 2)reallocating resources from National Performance Trials (NPT) to earlier-stage trials, 3) conducting stage-2 and stage-3 trials in a single season instead of two and 4 expanding the total number of clones tested per year from 3,561 to 6,682 (+87.6%). This translates to doubling the number of clones at stage-1 from 3,000 to 6,000 (+100%) and increasing the number of clones at stage-2 clones from 500 to 650 (+30%). This larger breeding population enhances the probability of identifying superior lines across multiple trait targets. However, early-stage phenotypic selection, due to lower heritability, limits overall genetic gains. To counteract this, genomic selection (GS) is proposed as a complementary strategy, improving early-stage selection accuracy and efficiency. Growing the stage-2 and 3 trials for just one season has the potential to increase the genetic gain per year (Gy) by 9%. By integrating optimized resource allocation, expanded selection populations, and genomic selection approaches, NaCRRI-NARO’s sweetpotato breeding program demonstrates a model for maximizing genetic gains while maintaining an efficient and scalable breeding framework in SSA.en
dcterms.accessRightsOpen Access
dcterms.audienceAcademicsen
dcterms.audienceCGIARen
dcterms.audienceDevelopment Practitionersen
dcterms.audienceDonorsen
dcterms.audienceExtensionen
dcterms.audienceFarmersen
dcterms.audienceGeneral Publicen
dcterms.audienceNGOsen
dcterms.audiencePolicy Makersen
dcterms.audienceScientistsen
dcterms.bibliographicCitationSerenje, G.; Njobvu, J.; Makunde, G.; Musundire, L.; Sneller, C. 2025. Maximizing genetic gains while maintaining an efficient sweetpotato breeding cycle in SSA: Lessons from NARO-NaCRRI. International Potato Center. 5 p.en
dcterms.extent5 p.en
dcterms.issued2025-03-25en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.subjectsweet potatoesen
dcterms.subjectgenetic gainen
dcterms.subjectbreedingen
dcterms.subjectheritabilityen
dcterms.subjectmarker-assisted selectionen
dcterms.typeBrief

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