An investigation of genotype-environment interactions for rate of ear emergence in spring barley

Paroda, R. S.; Hayes, J. D.

doi:10.1038/hdy.1971.23

Cited by 52 publications

(27 citation statements)

References 24 publications

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“…In as much as under the conditions of the subset 1 environments mean expression and linear sensitivity were not correlated, this investigation has shown that there is no immutable physiological reason why high mean expression and high linear sensitivity should be associated, despite the fact that such an association has frequently been found (Eberhart and Russell, 1966;Perkins and Jinks, 1968a;Westerman and Lawrence, 1970;Westerman, l97la). The conclusion that mean, expression and linear sensitivity may be determined by separate gene systems is in agreement with the findings of Perkins and Jinks (1968b), Westerman and Lawrence (1970) and Paroda and Hayes (1971). At the same time the persistence of the correlation when other groups of environments were considered suggest that this is not always the case, and in these instances joint selection for high performance and low sensitivity may be limited by an association between high expression of these two characters.…”

Section: Discussionsupporting

confidence: 87%

“…From their observations these authors suggested that the correlations may be due to parallel selection and linkage in the past history of the inbreds. A similar conclusion may be drawn from the observation of Paroda and Hayes (1971) that the weak but significant correlation between l + d, and b for rate of ear emergence shown by 10 varieties of spring barley did not persist into the F1 progenies of a diallel cross between these 10 varieties.…”

Section: Introductionsupporting

confidence: 72%

“…The importance of the genotype in determining mean expression has long been recognised. More recently a number of studies (Bucio Alanis, Perkins and Jinks, 1969;Jinks and Perkins, 1970;Paroda and Hayes, 1971;Westerman, 1971 a, b, c;Fripp, unpublished) have shown that the determination of the sensitivity aspects of phenotype also involves a genetical component. An individual's mean performance in any one environment thus depends on three characters each of which is under genetical control and hence subject to manipulation by the plant or animal breeder.…”

Section: Introductionmentioning

confidence: 99%

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Genotype-environmental interactions in Schizophyllum commune III. The relationship between mean expression and sensitivity to change in environment

Fripp

Caten

1973

Heredity

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SUMMARYThe relationship between the genetical systems determining mean expression and sensitivity to change in environment has been examined for dikaryotic growth rate in Schizophyllum commune by examining the correlation between these aspects of phenotype in a population in which both are segregating simultaneously. For a collection of environments of diverse composition a positive association was found between mean expression and linear sensitivity.The correlation was low, however, and approximately 50 per Cent, of the variation in those two aspects was independent. In a more uniform set of environments the association disappeared, demonstrating firstly that different genetical systems act in different environments, and secondly that at least in certain circumstances mean expression and linear sensitivity are determined by separate gene systems. The association between mean expression and non-linear sensitivity also depended on the particular set of environments considered. It is concluded that the relationship between mean expression and sensitivity is markedly influenced by the environments involved, and that each combination of genotypes, environments and character should be treated as a separate case.

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Section: Discussionsupporting

confidence: 87%

Section: Introductionsupporting

confidence: 72%

Section: Introductionmentioning

confidence: 99%

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Genotype-environmental interactions in Schizophyllum commune III. The relationship between mean expression and sensitivity to change in environment

Fripp

Caten

1973

Heredity

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“…Trabalhos prévios para produtividade de grãos e resistência a doenças mostraram que CGC e CEC podem interagir com o ambiente (Rojas & Sprague, 1952;Matzinger et al, 1959;Parodas & Hayes, 1971;Pixley & Bjarnason, 1993;Nelson & Scott, 1973). Em regiões tropicais, esta interação é de particular interesse pois há uma expressiva variação entre locais, mesmo entre locais próximos.…”

Section: Local LI Nhagemunclassified

Capacidade de combinação e heterose para resistência a Puccinia polysora Underw. em milho

Silva¹,

Barbosa

Nass

et al. 2001

Sci. agric. (Piracicaba, Braz.)

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RESUMO: A resistência genética é o método mais eficiente de controle das doenças foliares da cultura do milho. Para avaliar a capacidade específica e geral de combinação (CEC e CGC, respectivamente) e heterose para resistência a Puccinia polysora, nove linhagens e seus 36 híbridos F1 foram utilizados em experimentos conduzidos em três ambientes. A severidade da doença foi avaliada na planta inteira (PI) e na folha posicionada no ponto de inserção da espiga principal (AFA). O delineamento experimental utilizado foi em blocos casualizados com três repetições e a parcela experimental foi representada por uma fileira de 5 m de comprimento. A análise da variância para as reações a ferrugem polissora foram feitas usando a análise II do método de Gardner & Eberhart, associado ao método 4, modelo I de Griffing. A análise dialélica em diferentes ambientes mostrou efeitos altamente significativos (P<0,01) entre ambientes (E), CGC e CGC x E, para os dois métodos de avaliação. O efeito de CEC foi significativo para PI mas não significativo para AFA. A interação CEC x E não foi significativa para os dois métodos de avaliação. A CGC foi mais importante que CEC nas nove linhagens avaliadas, sugerindo que efeitos genéticos aditivos são mais importantes como fonte de variação para resistência a P. polysora. Foram encontrados efeitos heteróticos para resistência tanto em cruzamentos entre linhagens resistentes como entre suscetíveis, embora nestes últimos os efeitos tenham sido maiores. Identificaram-se combinações híbridas específicas entre linhagens com alto potencial para o controle genético deste patógeno. Palavras-chave: análise dialélica, ferrugem polissora, resistência a doença, melhoramento vegetal COMBINING CAPACITY AND HETEROSIS FOR RESISTANCE TO Puccinia polysora UNDERW. IN MAIZEABSTRACT: Genetic resistance is the most efficient way of controlling maize leaf diseases. To evaluate the specific and general combining ability (CGE and CGC, respectively) as well as heterosis for resistance to Puccinia polysora, nine inbred lines and a partial diallel set of their 36 F1 hybrids were used in experiments conducted in three environments. Disease severity was evaluated in the whole plant (PI) and in the leaf positioned at the point of insertion of the main ear (AFA). Trials were conducted in a randomized block design 5 m row plots. Analyses of variance for disease severity were performed by Gardner and Eberhart's Analysis II, in combination with Griffing's Method 4, Model I. The diallel analysis of environments indicated highly significant environment (E), CGC and CGC x E effects for both evaluation methods; CEC effects significant for PI but not for AFA; interactions CEC x E not significant for both disease severity variables. CGC effects were more important than CEC. This suggests that additive genetic effects are more important as sources of variation for disease resistance in this set of inbred lines. Heterotic effects were found in crossings between resistant lines and between susceptible ones, although in the first case th...

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“…They defined both these linear (fl) and non-linear (i2) components as stability parameters. Perkins and Jinks (1968a and b), Bucio-Alanis, Perkins and Jinks (1969) and Paroda and Hayes (1971) observed that both of these components are subject to genetical control and are at least in part subject to different genetic systems. Our knowledge of the inheritance of these components is as yet limited to investigations with Xicotiana rustica reported by Bucio Alanis, Perkins and Jinks (1969).…”

Section: Introductionmentioning

confidence: 99%

Parent dependent genotype × environment interaction in crosses of spring wheat

Bains

1976

Heredity

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SUMMARYGenotype x environment interactions have been analysed for grain yield in parental and successive generations derived from crosses between them in spring wheat (Triticum aestivum L.em Thell.). Six parental lines were chosen for these crosses on the basis of their known linear regression on the additive environmental means, deviations from linearity and mean performance. Six crosses, two low x low, two low x high and two high x high were set up on the basis of the linear sensitivity of the parental lines to the additive environmental variation and F2, F3 and F4 generations derived from each of them. Both the linear and non-linear components of the genotype x environment interaction of the advanced generation of each cross were clearly related to the corresponding components of their parents. There was also clear evidence for the segregation of genes controlling these two components of the interaction in the F3 and F4 generations of the crosses between parents contrasting for these properties but not in the F3 and F4 generations of the crosses between parents which were similar for these properties.All aspects of the phenotype, including linear and non-linear sensitivity to environment, are under genetical control and can, therefore, be selected for in crosses between appropriately chosen parents.

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An investigation of genotype-environment interactions for rate of ear emergence in spring barley

Cited by 52 publications

References 24 publications

Genotype-environmental interactions in Schizophyllum commune III. The relationship between mean expression and sensitivity to change in environment

Genotype-environmental interactions in Schizophyllum commune III. The relationship between mean expression and sensitivity to change in environment

Capacidade de combinação e heterose para resistência a Puccinia polysora Underw. em milho

Parent dependent genotype × environment interaction in crosses of spring wheat

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