Grouping patterns of rainfed winter wheat test locations and the role of climatic variables

Roostaei, Mozaffar; Jafarzadeh, Jafar; Roohi, Ebrahim; Nazary, Hossein; Rajabi, Rahman; Haghparast, Reza; Mohammadi, Reza; Abediasl, Gholam Reza; Khalilzadeh, Gholamreza; Seif, Fereshteh; Mirfatah, Seyyed Mohammad Mehdi

doi:10.1007/s10681-021-02915-8

Cited by 6 publications

(2 citation statements)

References 32 publications

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“…This result is in agreement with the result reported by [ 41 ] where two winter wheat MEs in Ontario were suggested after examining the ME analysis and test site for winter wheat in Canada. Similar conclusions were made by [ 42 ] in relation to winter wheat tested at eight locations who found between three and four MEs for grain yield. However, for protein content, the targeted region was not better presented as MEs but rather as a single environment, indicating that the evaluation of genotypes for this specific trait must be performed over years and locations.…”

Section: Discussionsupporting

confidence: 89%

Dissection of the Genetic Basis of Genotype by Environment Interactions for Morphological Traits and Protein Content in Winter Wheat Panel Grown in Morocco and Spain

El Baouchi,

Ibriz,

Dreisigacker

et al. 2024

Plants

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To fulfill the growing demand for wheat consumption, it is important to focus on enhancement breeding strategies targeting key parameters such as yield, thousand kernel weight (TKW), quality characteristics including morphological traits, and protein content. These elements are key to the ongoing and future objectives of wheat breeding programs. Prioritizing these factors will effectively help meet the rising demand for wheat, especially given the challenges posed by unpredictable weather patterns. This study evaluated the morphological traits and protein content of 249 winter wheat varieties and advanced lines grown in eleven different environments in Morocco and Spain incorporating three varied sowing dates. The results showed considerable variability in morphological traits and protein content. Significant correlations were observed among various grain traits, with most grain morphological parameters exhibiting negative correlations with protein content. Differences across environments (p ≤ 0.01) in all traits, genotypes, and genotype by environment interaction were significant. A factorial regression analysis revealed significant impacts of environmental conditions on all grain morphological parameters, protein content, and TKW during the three growth stages. The study identified several high-performing and stable genotypes across diverse environments, providing valuable insights for wheat breeding programs such as genotypes 129, 234, 241, and 243. Genome-Wide Association Studies pinpointed 603 significant markers across 11 environments, spread across chromosomes. Among these, 400 markers were linked with at least two traits or observed in at least two different environments. Moreover, twelve marker-trait associations were detected that surpassed the Bonferroni correction threshold. These findings highlight the importance of targeted breeding efforts to enhance wheat quality and adaptability to different environmental conditions.

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Section: Discussionsupporting

confidence: 89%

Dissection of the Genetic Basis of Genotype by Environment Interactions for Morphological Traits and Protein Content in Winter Wheat Panel Grown in Morocco and Spain

El Baouchi,

Ibriz,

Dreisigacker

et al. 2024

Plants

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“…That is, to analyze each year's genotype‐by‐location data separately and to look for consistent genotype‐by‐location patterns across years. Indeed, many earlier mega‐environment analyses adopted this approach (Dalló et al., 2019; Dia et al., 2016; George & Lundy, 2019; Krishnamurthy et al., 2017; Luo et al., 2015; Mohammadi et al., 2007; Putto et al., 2008; Ramburan et al., 2012; Roostaei et al., 2021; Roozeboom et al., 2008; Stojaković et al., 2015; Xu et al., 2014; Yan et al., 2000, 2011a, 2011b).…”

Section: Methods To Reveal Repeatable Ge and Delineate Mega‐environmentsmentioning

confidence: 99%

Mega‐environment analysis and breeding for specific adaptation

2023

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Mega-environment (ME) analysis is analysis of multi-year, multi-location crop variety trial data conducted in a target region of a crop to understand the magnitude and nature of genotype-by-environment interaction (GE) of the crop in the region.If repeatable GE patterns are identified, then the target region must be divided into subregions or MEs. Breeding and utilizing ME-specific cultivars will convert the repeatable GE into genotypic main effect (G) within ME, thereby improving heritability (selection reliability) and selection gain and maximize regional and overall productivity. If no repeatable GE is found, then the target region must be treated as a single ME and the GE must be accommodated by testing adequately, that is, at a sufficient number of locations in a sufficient number of years. This paper presents a theoretical framework of ME analysis, describes graphical tools to reveal the whichwon-where patterns in a genotype-by-environment dataset, and demonstrates LG (location-grouping) biplot analysis for revealing repeatable GE patterns and delineating MEs. The concept of G + GE or GGE, that is, GE relative to G, is emphasized. It is the relative GE that is the basis for ME analysis and breeding for specific adaptation; absolute magnitude of GE has little relevance for these purposes. Breeding ME-specific oat cultivars in Canada is demonstrated with a real-world example. INTRODUCTIONA mega-environment (ME) is a subregion within a crop's growing areas with similar genotypic responses and best performing cultivars. Mega-environment analysis is analysis of Abbreviations: AEZ, agro-ecological zone; BRDC, Brandon Research and

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Clustering stability methods towards selecting best performing and stable durum wheat genotypes

Mohammadi,

Jafarzadeh,

Armion

et al. 2023

Euphytica

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Grouping patterns of rainfed winter wheat test locations and the role of climatic variables

Cited by 6 publications

References 32 publications

Dissection of the Genetic Basis of Genotype by Environment Interactions for Morphological Traits and Protein Content in Winter Wheat Panel Grown in Morocco and Spain

Dissection of the Genetic Basis of Genotype by Environment Interactions for Morphological Traits and Protein Content in Winter Wheat Panel Grown in Morocco and Spain

Mega‐environment analysis and breeding for specific adaptation

Clustering stability methods towards selecting best performing and stable durum wheat genotypes

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