Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods

Shojaei, Seyed Habib; Mostafavi, Khodadad; Omrani, Ali; Omrani, Saeed; Mousavi, Seyed Mohammad Nasir; Illés, Árpád; Bojtor, Csaba; Nagy, János

doi:10.1155/2021/5576691

Cited by 15 publications

(3 citation statements)

References 29 publications

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“…Some authors have even used the Pearson coefficient for a two-valued variable and a distance/relative variable. Interpreting Pearson correlation can also be logical when one variable is bi-value (containing only two levels) (Ilker, 2011;Shojaei et al, 2021;Mousavi et al, 2022;Bodnár et al, 2018). Cluster analysis is a statistical method for grouping data or observations according to their similarity or degree of proximity.…”

Section: Discussionmentioning

confidence: 99%

Stability yield indices on different sweet corn hybrids based on AMMI analysis

et al. 2024

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Currently, sweet corn is considered an important crop due to its high sugar content and low starch content. Important sugars in sweet corn include sucrose, fructose, glucose, and maltose. The purpose of the present study was to use the yield indices of the eight examined sweet corn hybrids and the correlation of the yield indices together. Concentration is important for consumers in terms of yield indices. The research site was located at the Látókép Experimental Station of the University of Debrecen. The small plot experiment had a strip plot design with four replications. The previous crop was sweet corn; the plant density was 64 thousand/ha. The obtained result indicates that Biplot AMMI based on IPCA1 showed that the DB, NO, GS, and GB hybrids had stability and high performance in terms of yield indices. At the same time, fructose and glucose had stable parameters for the hybrids involved in the study. IPCA1 AMMI biplot showed that the ME hybrid had stability and high performance in terms of iron and zinc as well. IPCA2 AMMI biplot showed that DE, GB, and GS hybrids had stability and the highest performance on yield parameters in the scope of the research. Fructose, glucose, and sucrose had stable parameters on hybrids based on IPCA2. The DB and SE hybrids had desirable performance in Lutein and Zeaxanthin based on the biplot. The DE hybrid had a maximum performance on iron and zinc parameters.

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Section: Discussionmentioning

confidence: 99%

Stability yield indices on different sweet corn hybrids based on AMMI analysis

et al. 2024

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“…The AMMI, Additive Main effects and Multiplicative Interaction, is one of the many statistical tools commonly used to detect crop phenotypic stability over multiple locations [29,30]. This approach provides an estimate of the crop adaptability, especially for quantitative traits such as agronomic yields, which often present G x E interaction [25,31]. The common analysis of variance is known to highlight differentiation in fixed and random effects such as genotype, replication and environment [32].…”

Section: Introductionmentioning

confidence: 99%

“…By combining ANOVA with principal components analysis (PCA), the AMMI model extirpates, first, the main effects of varieties and environments, and then, presents the GxE interaction through a PCA [29,34]. From there, performance of genotypes as well as the extent of divergence between varieties and optimum environments can be appreciated [25,30,31]. In practice, it appeared that the GGE biplot and the AMMI graphs can be complementary in explaining the stability of genotypes and describing mega-environments [33,35].…”

Section: Introductionmentioning

confidence: 99%

Bulb Yield Stability Study of Onion Lines over Locations and Seasons in Ghana and Mali

Tignegre¹,

Traore²,

Konaté³

et al. 2022

Preprint

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Onion is one of the most economically and nutritionally important vegetable crops in West Africa. However, high-yielding varieties that are accessible to farmers remain scarce. Onion lines from the World Vegetable Center’s Allium program were evaluated during the cool and dry season from September to March for three years to identify adapted onion lines suitable for sustainable intensi-fication of production systems in Northern Ghana and Southern Mali. Trials were implemented in the Upper East and Northern Regions of Ghana and in two districts in the Sudan savanna zones of Mali (Bougouni and Koutiala). Nine onion lines, including a check variety were assessed for yield stability using a randomized complete block design. The trials were carried out in “technology parks” under the joint management of farmers and researchers. Onion bulb weight was recorded for each plot after harvest. Separate analyses of variances were performed for each location and season. Analysis of variance of combined locations, seasons and lines was made to determine the most stable varieties using the line-superiority measure and ecovalence stability coefficients. Results indicated that lines AVON1310 and AVON1325 were most stable for yield performance over lo-cations and seasons. From the genotype main effects and genotype-by-environment interaction (GGE) biplot, the best performing lines were AVON1310 (33.32 t.h-1), AVON1308 (28.81 t.h-1) and AVON1325 (31.68 t.h-1). These lines are potential candidates for sustainable intensification of onion production in Ghana and Mali.

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The AMMI model application to analyze the genotype–environmental interaction of spring wheat grain yield for the breeding program purposes

Jędzura¹,

Bocianowski

Matysik³

2022

CEREAL RESEARCH COMMUNICATIONS

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Changing climatic conditions and the emphasis on the cultivation of genetically stable and resilient varieties as well as efficiently managing water and mineral resources require the commencement of appropriate research already at the stage of plant breeding. For this purpose, breeders must have the necessary tools not only in the form of an experimental network, but also statistical tools that enable the correct interpretation of the obtained results. In the presented research, the additive main effects and multiplicative interaction (AMMI) model, supplemented with cluster analysis, was used to assess the stability and yielding level of 26 spring wheat genotypes, in six locations. The main reason for the yield variability in studied genotypes was environmental factor (89%). In spite of differential conditions in the experimental network locations, the studied environments, which had a similar effect on the genotypes, in the growing season of 2021, were grouped. The AMMI stability value (ASV), yield stability index (YSI) and genotype selection index (GSI) coefficients were used to evaluate the studied genotypes. Based on the analyses, the following genotypes were selected for further breeding work: STH 21-03, STH 21-09 and KOH 18279, as stable and widely adapted.

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Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods

Cited by 15 publications

References 29 publications

Stability yield indices on different sweet corn hybrids based on AMMI analysis

Stability yield indices on different sweet corn hybrids based on AMMI analysis

Bulb Yield Stability Study of Onion Lines over Locations and Seasons in Ghana and Mali

The AMMI model application to analyze the genotype–environmental interaction of spring wheat grain yield for the breeding program purposes

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