Sampaio Filho Juraci Souza, de Souza Campos Marcos, de Oliveira Eder Jorge
Centro de Ciências Agrárias, Ambientais e Biológicas, Universidade Federal do Recôncavo da Bahia, Cruz das Almas, BA 44380-000 Brazil.
Embrapa Mandioca e Fruticultura, Nugene, Cruz das Almas, BA 44380-000 Brazil.
Euphytica. 2024;220(8):127. doi: 10.1007/s10681-024-03384-5. Epub 2024 Jul 19.
The performance differences in cassava genotypes arising from genotype vs. environment interactions (G × E) often lead to responses that are significantly lower than expected for selection. The objective of this study was to evaluate different stability methods, both parametric and non-parametric, such as additive main-effects and multiplicative interaction (AMMI), main effect of genotypes plus G × E (GGE), and weighted average of absolute scores (WAASB), in order to quantify the G × E in multi-environmental trials. A total of 12 genotypes were assessed across 12 environments using a completely randomized block design, with three replicates for traits such as fresh root yield (FRY) and dry matter content in the roots (DMC). The data were subjected to analysis of variance and the Scott Knott test ( < 0.05). The sum of squares (SQ) of genotypes, environment, and G × E effects were equally distributed for FRY, whereas for DMC, these effects accounted for 64.1%, 21.9%, and 13.8% of the SQ, respectively, indicating a lower environmental effect on this characteristic. Using the AMMI, GGE, and WAASB methods, genotypes with high agronomic performance and stability for FRY (BR11-34-41 and BR11-34-69) (> 32 t ha) and DMC (BRS Novo Horizonte, BR12-107-002, and BR11-24-156) (> 37%) were identified. The broad-sense heritability ( ) for FRY and DMC was estimated to be 0.45 and 0.75, respectively. Approximately 72% of the methods identified BRS Novo Horizonte as the genotype with the highest stability and performance for DMC, while 47% identified genotypes BR11-34-41 and BR11-34-69 for FRY and intermediate DMC. Genotype BR11-24-156 exhibited high static stability according to 50% of the methods. Significant correlations were observed between stability and agronomic performance across the different methods, enabling the formation of groups based on stability concepts. Additionally, it was found that two mega-environments existed for FRY, whereas DMC displayed a single mega-environment with similar patterns, indicating an absence of G × E. We identified superior genotypes that could be promoted to national performance trials to develop stable cultivars with better yield attributes in cassava.
The online version contains supplementary material available at 10.1007/s10681-024-03384-5.
由于基因型与环境互作（G×E）导致木薯基因型的表现差异，常常使得选择反应显著低于预期。本研究的目的是评估不同的稳定性方法，包括参数法和非参数法，如加性主效应和乘积互作（AMMI）、基因型主效应加G×E（GGE）以及绝对得分加权平均数（WAASB），以便在多环境试验中量化G×E。采用完全随机区组设计，在12个环境中对12个基因型进行了评估，对鲜根产量（FRY）和根中干物质含量（DMC）等性状设置了3次重复。对数据进行方差分析和斯科特·诺特检验（P<0.05）。对于FRY，基因型、环境和G×E效应的平方和（SQ）分布均匀，而对于DMC，这些效应分别占SQ的64.1%、21.9%和13.8%，表明环境对该性状的影响较小。使用AMMI、GGE和WAASB方法，鉴定出了FRY（BR11 - 34 - 41和BR11 - 34 - 69）（>32 t/ha）和DMC（BRS Novo Horizonte、BR12 - 107 - 002和BR11 - 24 - 156）（>37%）具有高农艺性能和稳定性的基因型。FRY和DMC的广义遗传力（h²）估计分别为0.
