Applying the generalized additive main effects and multiplicative interaction model to analysis of maize genotypes resistant to grey leaf spot

Abstract

SUMMARYAnalysing the stability and adaptation of cultivars to different environments is always necessary before recommending them for planting on large areas. Additive main effects and multiplicative interaction (AMMI) models have been used to analyse genotype-by-environment interactions (G × E). AMMI models require data with homogeneous variance, normal errors and additive effects. However, agronomic data do not always conform to these statistical assumptions. The objective of the present study was to analyse G × E interactions for severity and incidence of grey leaf spot, a foliar disease in maize caused by Cercospora zeae-maydis, using a generalized AMMI model. Data were collected and evaluated for 36 maize cultivars from experiments carried out in nine Brazilian regions in 2010/11 by the Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA – Milho e Sorgo). Only two of three stable genotypes defined by a quasi-likelihood model with a logistic link function could be recommended for their desirable agronomic characteristics. Four growing locations in which the genotypes were stable were identified, but in only one of these was stability associated with very severe grey leaf spot disease. Cultivars adapted to specific locations with low percentage disease severity were also identified.

Genotype × environment interaction on the yield of spring oilseed rape (Brassica napus) under rainfed conditions in Argentine Pampas

“…For example, G × E interaction analyses have been performed in contrasting oilseed rape growing regions in Canada, Finland, Poland, Turkey, Iran, Pakistan, China and Australia (Brandle and McVetty, 1988; Peltonen-Sainio and Jauhiainen, 2008; Moghaddam and Pourdad, 2011; Pilarczyk, 2013; Tahira et al ., 2013; Zhang et al ., 2013, 2017; Mortazavian and Azizi-Nia, 2014; Nowosad et al ., 2016; He et al ., 2017). In South America, G × E analyses have been conducted previously for sunflower, soybean and maize yields (de la Vega et al ., 2001; Dardanelli et al ., 2006; Acorsi et al ., 2017), but for oilseed rape, G × E analysis has been limited to the Southeast of the Pampas Region (Takashima et al ., 2013).…”

Assessment of the reactions of pure lines selected from Turkish bread wheat landraces against bunt disease (Tilletia foetida) with the GGE-biplot method

“…Rapid growth allowed plants to abstain from the systemic disease to some extent. Recently, GGE biplot has been used to characterize and determine stability of germplasm, breeding lines and cultivars resistance to diseases such as anthracnose in water yam (Egesi et al ., 2009), chocolate spot disease in faba bean (Villegas et al ., 2009), white rust in brassica (Sandhu et al ., 2015), dry root rot and stunt disease in chickpea (Kumar et al ., 2017), yellow mosaic disease in mungbean (Parihar et al ., 2017), grey leaf spot in maize (Acorsi et al ., 2017). When the first section of the biplot was assessed separately from the entire graph, it was observed that 19 pure lines were placed in this section (Fig.…”

Biplot Analysis of Leaf Rust Reaction in Pure Lines Selected From Eastern Anatolian Bread Wheat Landraces of Turkey

“…In addition, GGE biplot usually used to (i) evaluate whichwon-where pattern, (ii) investigate mega environment, (iii) determine mean performance and stability of genotypes in multi environment yield trials (Yan and Falk, 2002). Lately, GGE biplot has been used to characterize and determine stability of germplasm, breeding lines and cultivars resistance to diseases such as anthracnose in water yam (Egesi et al, 2009), chocolate spot disease in faba bean (Villegas-Fernandez et al, 2009), white rust in Brassica (Sandhu et al, 2015), Fusarium udum in pigeonpea (Sharma et al, 2016), dry root rot an stunt disease in chickpea (Kumar et al, 2017), yellow mosaic disease in mungbean (Parihar et al, 2017), grey leaf spot in maize (Acorsi et al, 2017) grain yields of maize hybrids (Ilker et al, 2009;Mitrović et al, 2012). Leaf rust, (caused by Puccinia triticina) is encountered in wheat cultivation growing areas in coastal regions, Southeastern Anatolia, Çukurova, Middle Black Sea, Southern Marmara and Thrace regions of Turkey.…”