Multi-trait selection in multi-environments for performance and stability in cassava genotypes.

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dc.contributorJURACI SOUZA SAMPAIO FILHO, FEDERAL UNIVERSITY OF THE RECÔNCAVO DA BAHIA; TIAGO OLIVOTO, FEDERAL UNIVERSITY OF SANTA CATARINA; MARCOS DE SOUZA CAMPOS; EDER JORGE DE OLIVEIRA, CNPCA.
dc.creatorSAMPAIO FILHO, J. S.
dc.creatorOLIVOTO, T.
dc.creatorCAMPOS, M. de S.
dc.creatorOLIVEIRA, E. J. de
dc.date2024-12-28T17:31:30Z
dc.date2024-12-28T17:31:30Z
dc.date2024-12-06
dc.date2023
dc.date.accessioned2026-07-07T04:51:49Z
dc.descriptionGenotype-environment interaction (GEI) presents challenges when aiming to select optimal cassava genotypes, often due to biased genetic estimates. Various strategies have been proposed to address the need for simultaneous improvements in multiple traits, while accounting for performance and yield stability. Among these methods are mean performance and stability (MPS) and the multi-trait mean performance and stability index (MTMPS), both utilizing linear mixed models. This study’s objective was to assess genetic variation and GEI effects on fresh root yield (FRY), along with three primary and three secondary traits. A comprehensive evaluation of 22 genotypes was conducted using a randomized complete block design with three replicates across 47 distinct environments (year x location) in Brazil. The broad-sense heritability (H2) averaged 0.37 for primary traits and 0.44 for secondary traits, with plot based heritability (h2mɡ) consistently exceeding 0.90 for all traits. The high extent of GEI variance (s2 ɡxe) demonstrates the GEI effect on the expression of these traits. The dominant analytic factor (FA3) accounted for over 85% of the total variance, and the communality (ɧ) surpassed 87% for all traits. These values collectively suggest a substantial capacity for genetic variance explanation. In Cluster 1, composed of remarkably productive and stable genotypes for primary traits, genotypes BRS Novo Horizonte and BR11-34-69 emerged as prime candidates for FRY enhancement, while BRS Novo Horizonte and BR12-107 002 were indicated for optimizing dry matter content. Moreover, MTMPS, employing a selection intensity of 30%, identified seven genotypes distinguished by heightened stability. This selection encompassed innovative genotypes chosen based on regression variance index (S2 di, R2, andRMSE) considerations for multiple traits. In essence, incorporating methodologies that account for stability and productive performance can significantly bolster the credibility of recommendations for novel cassava cultivars.
dc.identifierFrontiers in Plant Science Frontiers, Media SA, v.14, n., p., 2023 1664-462X,2023.
dc.identifier1664-462X
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1170108
dc.identifier10.3389/fpls.2023.1282221
dc.identifier.urihttp://hdl.handle.net/123456789/473687
dc.languageeng
dc.rightsopenAccess
dc.subjectMandioca
dc.subjectMelhoramento Vegetal
dc.subjectGenótipo
dc.subjectInteração Genética
dc.subjectManihot
dc.subjectGenotype
dc.subjectGenotype-environment interaction
dc.subjectMixed stands
dc.subjectBreeding
dc.subjectGenetic stability
dc.titleMulti-trait selection in multi-environments for performance and stability in cassava genotypes.
dc.typeArtigo de periódico

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