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- 12Yang, Rong-Cai
- 3Hu, Zhiqiu
- 3Álvarez-Castro, José M.
- 2McKenzie, Ross H.
- 1Barnhardt, L. K.
- 1Beres, Brian L.
Construction of confidence intervals or regions is an important part of statistical inference. The usual approach to constructing a confidence interval for a single parameter or confidence region for two or more parameters requires that the distribution of estimated parameters is known or can be...
Analysis of genotype-environment interactions from a genome-wide survey of quantitative trait loci in a barley populationDownload
The presence of genotype-environment interactions (GE) leads to the imperfect genetic correlation between the measurements of the same trait in different environments, thereby limiting the ability of plant breeders to identify superior breeding lines or best cultivars across the environments. We...
Analysis of linear and nonlinear genotype × environment interaction
The usual analysis of genotype × environment interaction (G × E) is based on the linear regression of genotypic performance on environmental changes (e.g., classic stability analysis). This linear model may often lead to lumping together of the non-linear responses to the whole range of...
Fisher’s concepts of average effects and average excesses are at the core of the quantitative genetics theory. Their meaning and relationship have regularly been discussed and clarified. Here we develop a generalized set of one locus two-allele orthogonal contrasts for average excesses and...
Mapping quantitative trait loci (QTL) is often based on a functional or statistical model of gene action involving two alleles per locus. Such model is adequate for mapping populations derived from a cross between two inbred lines as in many plants and some laboratory animals and for di-allelic...
To counteract loss of genetic diversity crucial for current and future tree improvement, tree breeders have conserved forest genetic resources in situ in their natural ecosystems in protected areas or ex situ in plantations, seed orchards, and breeding arboreta. This article reviews the genetic...
Because climate has the greatest effect in determining the genetic structure of forest tree species, climatic variables with large effects on growth and survival need to be identified. This would enable proper matching of tree populations to planting sites in the present and future climates. We...
Early flowering is an important trait influencing grain yield and quality in wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.) in short-season cropping regions. However, due to large and complex genomes of these species, direct identification of flowering genes and their molecular...
Integrating the building blocks of agronomy and biocontrol into an IPM strategy for wheat stem sawflyDownload
The wheat stem sawfly(Cephus cinctus Norton [Hymenoptera: Cephidae]) is a serious threat to wheat (Triticum aestivum L.) and other cereal grains in the northern Great Plains. Insecticides have proven ineffective for sawfly control and can be detrimental to beneficial insects. The management of...
Linear mixed model (LMM) analysis has been recently used extensively for estimating additive genetic variances and narrow-sense heritability in many genomic studies. While the LMM analysis is computationally less intensive than the Bayesian algorithms, it remains infeasible for large-scale...