Assessment of genotype × environment interactions for yield and fiber quality in cotton performance trials

Campbell, B. Todd; Jones, Michael A.

doi:10.1007/s10681-005-4336-7

Cited by 102 publications

(100 citation statements)

References 10 publications

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“…Thus, the other major components were excluded from the analysis because they were mainly composed of "noise" (SILVA; YOKOMIZO et al, 2013.). The sum of the first two components is consistent with the findings of other studies on soybean with the AMMI biplot, where the first two components explained 61 to 88% of the SQ G×E and were significant (CAMPBELL; JONES, 2005;KAYA et al, 2006;TARAKANOVAS;SPRAINAITIS, 2005).…”

Section: Resultssupporting

confidence: 76%

Determination of the adaptability and stability of soybean cultivars in different locations and at different sowing times in Paraná state using the AMMI and Eberhart and Russel methods

Silveira

Pricinotto

Nardino

et al. 2016

SCA

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This study aimed to evaluate the adaptability and phenotypic stability of 10 soybean genotypes in 12 environments in Paraná state by using the additive main effects and multiplicative interaction analysis (AMMI) and Eberhart and Russell models. The assays were conducted in a randomized complete block design with three replicates, in the 2010/2011 season in four locations in Paraná state (Assaí, São Pedro do Ivaí, Cornélio Procópio, and Marilândia do Sul), and with three sowing dates (15/-20/10/10; 29/10-03/11/10; 15/-20/11/10). The cultivars tested with Roundup Ready® technology included SYN 1049, SYN 1152, SYN 1059, SYN 3358, SYN 1163, SYN 1157, V-MAX, FT Campo Mourão, BMX Potência, and SYN 9070. The yield character was analyzed. Data were submitted to analysis of variance and the adaptability and stability were then analyzed. The results of the AMMI and Eberhart and Russell models were somewhat consistent for the stability parameter only. The AMMI analysis was able to capture 66% of the variance associated with residue no additives, of which 43.18% was retained in the first principal component of interaction and 23.58%, in the second component. This is sufficient to explain the genotype × environment interaction. The SYN 1059, SYN 1163, and VMAX genotypes are distinguished by their considerably higher yield and productive adaptation. In the AMMI analysis, the cultivar SYN 1163 showed commercial promise among the other cultivars for high grain yield performance, adaptation, and response predictability. Key words: Biometric models. Predictability. Grain yield. Different environments. -20/10/10; 29/10/10 -03/11/10; 15/11/10 -20/11/10). Resumo

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Section: Resultssupporting

confidence: 76%

Determination of the adaptability and stability of soybean cultivars in different locations and at different sowing times in Paraná state using the AMMI and Eberhart and Russel methods

Silveira

Pricinotto

Nardino

et al. 2016

SCA

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“…(Borges et al, 2000;Yan & Hunt, 2002;Freire Filho et al, 2003;Campbell & Jones (2005); Tarakanovas & Sprainaitis, 2005;Kaya et al, 2006). No presente trabalho, apesar de esta percentagem ter sido menor (57,2%), a significância apenas dos dois primeiros eixos mostra que eles são suficientes para capturar o "padrão" associado à interação GxE de interesse.…”

Section: Tabela 4 Autovalores (L Kunclassified

Análise AMMI da produtividade de grãos em linhagens de soja selecionadas para resistência à ferrugem asiática

Yokomizo¹,

Duarte

Vello

et al. 2013

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi quantificar os efeitos da interação genótipo x ambiente (GxE) sobre a produtividade de grãos em progênies de soja pré-selecionadas para resistência à ferrugem asiática (Phakopsora pachyrhizi). Doze ensaios de avaliação de progênies (linhagens F 6 e F 7 ) foram conduzidos em diferentes ambientes (combinação de locais, anos e tratamentos fungicidas para controle de doenças de final de ciclo, incluindo ou não a ferrugem). A análise "additive main effects and multiplicative interaction" (AMMI) capturou, como padrão da interação GxE, 57% da variação associada aos resíduos de não aditividade, dos quais 44% foram retidos no primeiro componente principal de interação e o restante, no segundo. O primeiro componente associou-se a diferenças entre os anos de avaliação, o que denota imprevisibilidade na predição. O segundo componente, no entanto, associou-se ao manejo diferenciado do cultivo, no que se refere ao controle ou não das doenças. Entre os genótipos de ampla adaptabilidade produtiva, as linhagens USP 02-16.045 e USP 10-10 apresentaram desempenho destacado.Termos para indexação: Glycine max, Phakopsora pachyrhizi, biplot, interação genótipo x ambiente. AMMI analysis of grain yield in soybean lines selected for resistance to Asian rustAbstract -The objective of this work was to quantify the effects of genotype x environment (GxE) interaction on grain yield in soybean progenies pre-selected for resistance to Asian soybean rust (Phakopsora pachyrhizi). Twelve trials evaluating progenies (lines F 6 and F 7 ) were carried out in different environments (combination of locations, years, and fungicide treatments to control late season diseases, including or not rust). Additive main effects and multiplicative interaction (AMMI) analysis captured, as GxE interaction pattern, 57% of the variance associated with the residues of non-additivity, of which 44% were retained in the first principal component of interaction, and the remainder in the second. The first component was associated with the differences between the years of evaluation, which denotes unpredictability. The second component, however, was associated with different crop managements, related to the control or not of the diseases. Among genotypes with wide yield adaptability, the USP 02-16.045 and USP 10-10 lineages stood out.

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“…Stability is the ability to show a minimum interaction with the environment (Eberhart and Russell, 1966). Hence, the stability of genotype performance is directly related to the effect of G × E (Campbell and Jones, 2005). The adaptability of a variety over diverse environments is usually tested by the degree of its interaction with different environments under which it is tested (Finlay and Wilkinson, 1963).…”

Section: Resultsmentioning

confidence: 99%

Genotype and environment interaction and stability analysis for seed yield in yellow mung bean (Vigna radiata L.)

Arunkumar

Konda

2014

JANS

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Nine yellow seeded mung (Vigna radiata L.) genotypes were evaluated along with three checks for their yield performance during three years (2007, 2010 and 2011). Pooled analysis of variance and stability analysis were performed. The genotypic (G) × environment (E) interaction and both variance due to genotypes and environment were significant. The portioning of G × E interaction into linear and non-linear components indicated that both predictable and unpredictable components shared the interaction. On the basis of stability parameters, the top yielding genotypes such as BGS-9 (605.444 Kg/Ha), Sel-4 (519.778 Kg/Ha) and China mung (567.000 Kg/Ha) exhibited high mean yield. Based on stability parameters the genotypes YM-5 (459.889 Kg/Ha), YM-8 (451.333 Kg/Ha) exhibited low mean performance along with regression value nearer to unity (bi=1) and non significant deviation from regression (S 2 di=0) indicating the high stability and wider adaptability across the three environments. The genotypes BGS-9 (605.444 Kg/Ha) and Sel-4 (519.778 Kg/Ha) exhibited high mean value and bi values (bi>1) and non significant deviation (S 2 di < 0) value indicating adapted for high performance environments (These genotypes are sensitive to environments and give maximum yield when inputs are not limited).

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Assessment of genotype × environment interactions for yield and fiber quality in cotton performance trials

Cited by 102 publications

References 10 publications

Determination of the adaptability and stability of soybean cultivars in different locations and at different sowing times in Paraná state using the AMMI and Eberhart and Russel methods

Determination of the adaptability and stability of soybean cultivars in different locations and at different sowing times in Paraná state using the AMMI and Eberhart and Russel methods

Análise AMMI da produtividade de grãos em linhagens de soja selecionadas para resistência à ferrugem asiática

Genotype and environment interaction and stability analysis for seed yield in yellow mung bean (Vigna radiata L.)

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