On biometrical genetics

Mather, Kenneth

doi:10.1038/hdy.1971.47

Cited by 107 publications

(154 citation statements)

References 15 publications

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“…In human quantitative genetic studies, genetic and environmental sources of variance are separated using a design that includes subjects of different degrees of genetic and environmental relationship (Fisher, 1918;Mather & Jinks, 1982). A widely used design compares phenotypic resemblance of monozygotic (MZ) and dizygotic (DZ) twins.…”

Section: Quantifying Genetic and Environmental Influences: The Quick mentioning

confidence: 99%

Theory and Practice in Quantitative Genetics

Posthuma¹,

et al. 2003

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Section: Quantifying Genetic and Environmental Influences: The Quick mentioning

confidence: 99%

Theory and Practice in Quantitative Genetics

Posthuma¹,

et al. 2003

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“…Many breeders have successfully applied regression to their material as an empirical measure of genotypic sensitivity. But as Mather (1971) has pointed out, this work lacks a theoretical foundation.…”

Section: Discussionmentioning

confidence: 99%

“…An identical technique has been used by Mandel (1959) and Mandel and Lashof (1959) to compare the result of tests at several laboratories on a number of materials, and the theoretical aspects of the statistical analysis have been discussed in a series of papers by Mandel (1961Mandel ( , 1969Mandel ( , 1970Mandel ( , 1971) and Mandel and McCrackin (1963). There has not, to our knowledge, been any reference to this work by biologists, nor as Mather (1971) has pointed out, any discussion of the underlying reasons why the regression technique works for plant material, although various authors have either denied that any such a priori reason exists (Wright, 1971), or have attributed the success of the method to the linearising nature of the transformation (Knight, 1970).…”

Section: Introductionmentioning

confidence: 99%

Regression methods for studying genotype-environment interactions

Hardwick

Wood

1972

Heredity

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“…Genetic studies on the resistance inheritance of northern leaf blight, based on population means and variances, were performed as described by Mather and Jinks (1982). Estimates of genetic and environmental parameters, based on the analysis of the variances of the segregating and nonsegregating generations, were performed according to Cruz et al (2012).…”

Section: Study Of the Genetic Controlmentioning

confidence: 99%

“…Estimates of genetic and environmental parameters, based on the analysis of the variances of the segregating and nonsegregating generations, were performed according to Cruz et al (2012). The means of the segregating and non-segregating generations were used to estimate the effects involved in the determination of the genetic resistance to northern leaf blight using the weighted least squares method (Mather and Jinks, 1982;Cruz et al, 2012). The statistical procedures were performed using the GENES software application (Cruz, 2006).…”

Section: Study Of the Genetic Controlmentioning

confidence: 99%

Association mapping and genetic control for northern leaf blight (Exserohilum turcicum) resistance in maize lines

Kaefer¹,

Schuelter²,

Schuster³

et al. 2017

Aust J Crop Sci

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The aim of this work was to identify genomic regions associated with northern leaf blight resistance (Exserohilum turcicum) in common maize lines and to study the control involved in the resistance. For association mapping, 72 maize lines were previously genotyped for SNP markers on the 650K platform (Affymetrix®), and their respective genotypic values were predicted by mixed models for northern leaf blight. In order to avoid spurious associations between SNP markers and the studied character, the analysis of population structure was initially performed. The analysis of association between the SNP and northern leaf blight markers was carried out using a linear mixed model. For the study of genetic control, the experiment was conducted in 2016 and it was composed of randomized blocks with three repetitions. Through the notes attributed to the lines and their respective generations, the genotypic data related to the inheritance of the studied disease were extracted. Analyzing the results, QTLs were found on chromosomes 1, 2, 3, 4, 6, 8, 9 and 10 for northern leaf blight in maize, which may increase, reduce or even override the effect of this attribute. Among the QTLs found, five genomic regions were detected for increased resistance to northern leaf blight with the use of SNP markers, found in chromosomes 3 (SNP210703), 8 (SNP507268 and SNP507269), 9 (SNP544616) and 10 (SNP610500). The genetic control of resistance to northern leaf blight is quantitative, with the additive effects being more important in the character determination. In addition, it presents high restricted heritability (88%), which allows good selection efficiency and selection gains.

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On biometrical genetics

Cited by 107 publications

References 15 publications

Theory and Practice in Quantitative Genetics

Theory and Practice in Quantitative Genetics

Regression methods for studying genotype-environment interactions

Association mapping and genetic control for northern leaf blight (Exserohilum turcicum) resistance in maize lines

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