Sweet potato (Ipomoea batatas L.) genotype selection using advanced indices and statistical models: A multi-year approach

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cg.authorship.typesCGIAR and developing country instituteen
cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationBangladesh Agricultural Research Instituteen
cg.contributor.affiliationBangladesh Rice Research Instituteen
cg.contributor.affiliationInternational Potato Centeren
cg.contributor.affiliationBangladesh Institute of Nuclear Agricultureen
cg.contributor.donorBangladesh Agricultural Research Instituteen
cg.coverage.countryBangladesh
cg.coverage.iso3166-alpha2BD
cg.coverage.regionAsia
cg.creator.identifierEBNA HABIB MD SHOFIUR RAHAMAN: 0000-0002-9292-5371
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1016/j.heliyon.2024.e31569en
cg.isijournalISI Journalen
cg.issn2405-8440en
cg.issue10en
cg.journalHeliyonen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaGenetic Innovation
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.cipGENETIC RESOURCESen
cg.subject.cipGENETICS, GENOMICS AND CROP IMPROVEMENT SCIENCES GGCIen
cg.subject.cipSWEETPOTATOESen
cg.subject.cipSWEETPOTATO AGRI-FOOD SYSTEMSen
cg.subject.cipBREEDINGen
cg.subject.impactAreaNutrition, health and food security
cg.subject.sdgSDG 2 - Zero Hungeren
cg.subject.sdgSDG 3 - Good Health and Well-beingen
cg.subject.sdgSDG 12 - Responsible Consumption and Productionen
cg.volume10en
dc.contributor.authorAlam, Z.en
dc.contributor.authorAkter, S.en
dc.contributor.authorKhan, M.a.H.en
dc.contributor.authorHossain, M.I.en
dc.contributor.authorAmin, M.N.en
dc.contributor.authorBiswas, A.en
dc.contributor.authorRahaman, E.H.M.S.en
dc.contributor.authorAli, M.A.en
dc.contributor.authorChanda, D.en
dc.contributor.authorRahman, M.H.S.en
dc.contributor.authorKawochar, M.A.en
dc.contributor.authorAlam, M.S.en
dc.contributor.authorMolla, M.M.en
dc.contributor.authorIslam, M.M.en
dc.contributor.authorJahan, M.en
dc.contributor.authorProdhan, M.Z.H.en
dc.contributor.authorKadir, M.M.en
dc.contributor.authorSarker, D.en
dc.date.accessioned2024-06-18T16:09:58Zen
dc.date.available2024-06-18T16:09:58Zen
dc.identifier.urihttps://hdl.handle.net/10568/145323
dc.titleSweet potato (Ipomoea batatas L.) genotype selection using advanced indices and statistical models: A multi-year approachen
dcterms.abstractIn Bangladesh, sweet potato holds the fourth position as a crucial carbohydrate source, trailing rice, wheat, and potato. However, locally grown sweet potato varieties often display limited stability and yield. To tackle this challenge, diverse selection methods and statistical models were utilized to pinpoint sweet potato genotypes showcasing both stability and superior yield and quality traits. In the initial two years, multiple selection methods were employed to narrow down the collections based on preferences for yield and its contributing traits. Subsequently, a multi-environment trial (MET) was conducted in the following year to pinpoint superior and stable genotypes with desirable yield and quality characteristics. An integrated approach involving the Multi-Trait Genotype Ideotype Distance Index (MGIDI), Factor Analysis and Ideotype-Design (FAI-BLUP), and Smith-Hazel Index (SH) led to the identification of 71 superior sweet potato genotypes out of a total of 351 in the initial growing season. In the subsequent season, the MGIDI selection index was applied to the 71 genotypes, resulting in the selection of 11 top-performing genotypes. This selection process was complemented by a detailed analysis of the strengths and weaknesses of the selected genotypes. In the MET, the mixed effect model, specifically the linear mixed model (LMM), identified significant genotypic and genotype-environment interaction (GEI) variances. This points to elevated heritability and selection accuracy, ultimately boosting the model's reliability. By combining the strengths of LMM and additive main effects and multiplicative interaction (AMMI), the best linear unbiased prediction (BLUP) index identified H20 as the top-performing genotype for marketable root yield (MRY), H37 for dry weight of root (DW), H8 for beta carotene (BC) and H41 for vitamin c (VC). These genotypes surpassed the overall average in the WAAS index. For simultaneous stability and high performance, the WAASBY index selected H37 for MRY, H6 for DW, H61 for BC, and H3 for VC. Finally, genotypes H3 and H20 were selected using multi-trait stability index (MTSI), as they possessed high performance and stability. Based on the selection sense, the objective has been achieved with regards to the trait MRW, which serves as a major criterion for a superior variety of sweet potato.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.bibliographicCitationAlam, Z.; Akter, S.; Khan, M.a.H.; Hossain, M.I.; Amin, M.N., Biswas, A.; Rahaman, E.H.M.S., Ali, M.A.; Chanda, D.; Rahman, M.H.S.; Kawochar, M.A.; Alam, M.S.; Molla, M.M.; Islam, M.M.; Jahan, M.; Prodhan, M.Z.H.; Kadir, M.M.; Sarker, D. 2024. Sweet potato (Ipomoea batatas L.) genotype selection using advanced indices and statistical models: a multi-year approach. Heliyon. ISSN 2405-8440. 10(10). 2405-8440. https://doi.org/10.1016/j.heliyon.2024.e31569en
dcterms.extent15 p.en
dcterms.issued2024-06-30
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherElsevieren
dcterms.subjectsweet potatoesen
dcterms.subjectstabilityen
dcterms.subjectgenotypesen
dcterms.subjectyield stabilityen
dcterms.typeJournal Article

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