Now showing items 1-10 of 29
Factors affecting the accuracy of genotype imputation in populations from several maize breeding programs
Genomic selection and association mapping offer great potential to increase rates of genetic progress in plants. The prediction of genomic breeding values usually requires that missing genotypes be imputed because a ...
Effectiveness of Genomic Prediction of Maize Hybrid Performance in Different Breeding Populations and Environments
(Genetics Society of America, 2012)
Genomic prediction is expected to considerably increase genetic gains by increasing selection intensity and accelerating the breeding cycle. In this study, marker effects estimated in 255 diverse maize (Zea mays L.) hybrids ...
Large-scale screening for maize drought resistance using multiple selection criteria evaluated under water-stressed and well-watered environments
A total of 550 maize inbred lines collected from global breeding programs were evaluated for drought resistance under both well-watered and water-stressed environments. The evaluation was based on multiple measurements of ...
Cluster analysis, an approach to sampling variability in maize accessions
Cluster analysis is frequently used to classify maize (Zen mays L.) accessions and can be used by breeders and geneticists to identify subsets of accessions which have potential utility for specific breeding or genetic ...
A method for combining molecular markers and phenotypic attributes for classifying plant genotypes
Abstract Classifying genotypes into clusters based on DNA fingerprinting, and/or agronomic attributes, for studying genetic and phenotypic diversity is a common practice. Researchers are interested in knowing the minimum ...
A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize ( Zea mays L.)
Despite QTL mapping being a routine procedure in plant breeding, approaches that fully exploit data from multi-trait multi-environment (MTME) trials are limited. Mixed models have been proposed both for multi-trait QTL ...
Biplots of linear-bilinear models for studying crossover genotype X environment interaction
Linear-bilinear models, such as the Shifted Multiplicative Model (SHMM) and Sites Regression Model (SREG), have been used to develop clustering procedures for finding subsets of sites ( or cultivars) without cultivar ...