Author:
Sampaio Filho Juraci Souza,Olivoto Tiago,Campos Marcos de Souza,Oliveira Eder Jorge de
Abstract
Genotype-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 (hmɡ2) consistently exceeding 0.90 for all traits. The high extent of GEI variance (σɡxe2) 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 (Sdi2, R2, and RMSE) 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.
Funder
Fundação de Amparo à Pesquisa do Estado da Bahia
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Foreign, Commonwealth and Development Office
Bill and Melinda Gates Foundation
Reference57 articles.
1. Ammi stability analysis and estimation of genetic parameters for growth and yield components in cassava in the forest and Guinea Savannah ecologies of Ghana;Adjebeng-Danquah;Int. J. Agron.,2017
2. G × E interaction effects on yield and yield components of cassava (landraces and improved) genotypes in the savanna regions of Nigeria;Aina;Afr. J. Biotechnol.,2009
3. Reinventing quantitative genetics for plant breeding: Something old, something new, something borrowed, something blue;Bernardo;Heredity,2020
4. Adapting maize production to climate change in sub-Saharan Africa;Cairns;Food Secur.,2013
5. Fifty years of a public cassava breeding program: Evolution of breeding objectives, methods, and decision-making processes;Ceballos;Theor. Appl. Genet.,2021