A new test for family-based association mapping with inbred lines from plant breeding programs

2006 ◽  
Vol 113 (6) ◽  
pp. 1121-1130 ◽  
Author(s):  
Benjamin Stich ◽  
Albrecht E. Melchinger ◽  
Hans-Peter Piepho ◽  
Martin Heckenberger ◽  
Hans P. Maurer ◽  
...  
Keyword(s):  
Association Mapping ◽  
Plant Breeding ◽  
Inbred Lines ◽  
Breeding Programs ◽  
Family Based

scholarly journals Making waves in Breedbase: An integrated spectral data storage and analysis pipeline for plant breeding programs

tppj ◽  
2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Jenna Hershberger ◽  
Nicolas Morales ◽  
Christiano C. Simoes ◽  
Bryan Ellerbrock ◽  
Guillaume Bauchet ◽  
...  
Keyword(s):  
Plant Breeding ◽  
Spectral Data ◽  
Data Storage ◽  
Analysis Pipeline ◽  
Breeding Programs

scholarly journals Marker-Assisted Introgression in Backcross Breeding Programs

Genetics ◽  
1996 ◽  
Vol 144 (4) ◽  
pp. 1923-1932 ◽  
Author(s):  
Peter M Visscher ◽  
Chris S Haley ◽  
Robin Thompson
Keyword(s):  
Quantitative Trait ◽  
Genetic Model ◽  
Phenotypic Selection ◽  
Inbred Lines ◽  
Breeding Programs ◽  
Coupling Phase ◽  
Breed Difference ◽  
Backcross Populations ◽  
Backcross Breeding ◽  
Marker Spacing

The efficiency of marker-assisted introgression in backcross populations derived from inbred lines was investigated by simulation. Background genotypes were simulated assuming that a genetic model of many genes of small effects in coupling phase explains the observed breed difference and variance in backcross populations. Markers were efficient in introgression backcross programs for simultaneously introgressing an allele and selecting for the desired genomic background. Using a marker spacing of 10–20 cM gave an advantage of one to two backcross generations selection relative to random or phenotypic selection. When the position of the gene to be introgressed is uncertain, for example because its position was estimated from a trait gene mapping experiment, a chromosome segment should be introgressed that is likely to include the allele of interest. Even for relatively precisely mapped quantitative trait loci, flanking markers or marker haplotypes should cover ∼10–20 cM around the estimated position of the gene, to ensure that the allele frequency does not decline in later backcross generations.

scholarly journals Association mapping for chilling tolerance in elite flint and dent maize inbred lines evaluated in growth chamber and field experiments

2013 ◽  
Vol 36 (10) ◽  
pp. 1871-1887 ◽  
Author(s):  
ALEXANDER STRIGENS ◽  
NICLAS M. FREITAG ◽  
XAVIER GILBERT ◽  
CHRISTOPH GRIEDER ◽  
CHRISTIAN RIEDELSHEIMER ◽  
...  
Keyword(s):  
Association Mapping ◽  
Field Experiments ◽  
Chilling Tolerance ◽  
Inbred Lines ◽  
Growth Chamber ◽  
Maize Inbred Lines

Integrating Biotechnology into Woody Plant Breeding Programs

1988 ◽  
pp. 433-449 ◽  
Author(s):  
D. E. Riemenschneider ◽  
B. E. Haissig ◽  
E. T. Bingham
Keyword(s):  
Plant Breeding ◽  
Woody Plant ◽  
Breeding Programs

scholarly journals Association Mapping for Improvement of Quantitative Traits in Plant Breeding Populations

1970 ◽  
Vol 2 (1) ◽  
pp. 72-89
Author(s):  
Umesh R Rosyara ◽  
Bal K Joshi
Keyword(s):  
Association Mapping ◽  
Plant Breeding ◽  
Fine Mapping ◽  
Quantitative Trait ◽  
Human Genetics ◽  
Crop Improvement ◽  
Nucleotide Polymorphisms ◽  
Breeding Populations ◽  
Validation Of Results ◽  
Mapping Populations

DNA-based molecular markers have been extensively utilized for mapping of genes and quantitative trait loci (QTL) of interest based on linkage analysis in mapping populations. This is in contrast to human genetics that use of linkage disequilibrium (LD)-based mapping for fine mapping of QTLs using single nucleotide polymorphisms. LD based association mapping (AM) has promise to be used in plants. Possible use of such approach may be for fine mapping of genes / QTLs, identifying favorable alleles for marker aided selection and cross validation of results from linkage mapping for precise location of genes / QTLs of interest. In the present review, we discuss different mapping populations, approaches, prospects and limitations of using association mapping in plant breeding populations. This is expected to create awareness in plant breeders in use of AM in crop improvement activities.Key words: Association mapping; plant breeding; DNA marker; quantitative trait lociDOI: http://dx.doi.org/10.3126/njb.v2i1.5686  Nepal Journal of Biotechnology Jan.2012, Vol.2(1): 72-89

scholarly journals Phenotypic and molecular characterization of a set of tropical maize inbred lines from a public breeding program in Brazil

BMC Genomics ◽  
2022 ◽  
Vol 23 (1) ◽  
Author(s):  
Sirlene Viana de Faria ◽  
Leandro Tonello Zuffo ◽  
Wemerson Mendonça Rezende ◽  
Diego Gonçalves Caixeta ◽  
Hélcio Duarte Pereira ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Inbred Lines ◽  
Breeding Program ◽  
Tropical Maize ◽  
Maize Breeding ◽  
Breeding Programs ◽  
The Public ◽  
Maize Inbred Lines

Abstract Background The characterization of genetic diversity and population differentiation for maize inbred lines from breeding programs is of great value in assisting breeders in maintaining and potentially increasing the rate of genetic gain. In our study, we characterized a set of 187 tropical maize inbred lines from the public breeding program of the Universidade Federal de Viçosa (UFV) in Brazil based on 18 agronomic traits and 3,083 single nucleotide polymorphisms (SNP) markers to evaluate whether this set of inbred lines represents a panel of tropical maize inbred lines for association mapping analysis and investigate the population structure and patterns of relationships among the inbred lines from UFV for better exploitation in our maize breeding program. Results Our results showed that there was large phenotypic and genotypic variation in the set of tropical maize inbred lines from the UFV maize breeding program. We also found high genetic diversity (GD = 0.34) and low pairwise kinship coefficients among the maize inbred lines (only approximately 4.00 % of the pairwise relative kinship was above 0.50) in the set of inbred lines. The LD decay distance over all ten chromosomes in the entire set of maize lines with r2 = 0.1 was 276,237 kb. Concerning the population structure, our results from the model-based STRUCTURE and principal component analysis methods distinguished the inbred lines into three subpopulations, with high consistency maintained between both results. Additionally, the clustering analysis based on phenotypic and molecular data grouped the inbred lines into 14 and 22 genetic divergence clusters, respectively. Conclusions Our results indicate that the set of tropical maize inbred lines from UFV maize breeding programs can comprise a panel of tropical maize inbred lines suitable for a genome-wide association study to dissect the variation of complex quantitative traits in maize, mainly in tropical environments. In addition, our results will be very useful for assisting us in the assignment of heterotic groups and the selection of the best parental combinations for new breeding crosses, mapping populations, mapping synthetic populations, guiding crosses that target highly heterotic and yielding hybrids, and predicting untested hybrids in the public breeding program UFV.

scholarly journals GENOTYPIC DIVERSITY IN 291 MAIZE LINES FROM CIMMYT AND PHENOTYPIC CHARACTERIZATION IN SOUTHERN CORDOBA, ARGENTINA

2019 ◽  
Vol 30 (1) ◽  
pp. 25-33
Author(s):  
E.A. Rossi ◽  
M. Ruiz ◽  
M. Di Renzo ◽  
N.C. Bonamico
Keyword(s):  
Population Structure ◽  
Morphological Traits ◽  
Phenotypic Diversity ◽  
Genotypic Diversity ◽  
Inbred Lines ◽  
Environmental Adaptation ◽  
Procrustes Analysis ◽  
Phenotypic Characterization ◽  
Breeding Programs ◽  
Maize Inbred Lines

CIMMYT maize inbred lines (CMLs) are freely distributed to breeding programs around the world. Better information on phenotypic and genotypic diversity may provide guidance to breeders on how to use more efficiently the CMLs in their breeding programs. In this study a group of 291 CIMMYT maize inbred lines, was phenotyped by nine agro-morphological traits in south Córdoba, Argentina and genotyped using 18,082 SNPs. Based on the geographic information and the environmental adaptation, 291 CMLs were classified into eight subgroups. Anthesis-silking interval (IAE) was the trait with higher phenotypic diversity. A 40% of maize inbred lines, with IAE less than five days, show a good adaptation to growing conditions in south Córdoba, Argentina. The low phenotypic variation explained by environmental adaptation subgroups indicates that population structure is only a minor factor contributing to phenotypic diversity in this panel. Principal component analysis (ACP) allowed us to obtain phenotypic and genotypic orderings. Generalized procrustes analysis (APG) indicated a 60% consensus between both data type from the total panel of maize lines. In each environmental adaptation subgroup, the APG consensus was higher. This result, which might indicate linkage disequilibrium between SNPs markers and the genes controlling these agro-morphological traits, is promising and could be used as an initial tool in the identification of Quantitative Trait Loci (QTL). Information on genetic diversity, population structure and phenotypic diversity in local environments will help maize breeders to better understand how to use the current CIMMYT maize inbred lines group. Key words: broad-sense heritability, multivariate analysis, SNPs, agro-morphological traits.

The genetic framework of plant breeding

1981 ◽  
Vol 292 (1062) ◽  
pp. 407-419 ◽  
Keyword(s):  
Plant Breeding ◽  
Recombinant Inbred ◽  
Recombinant Inbred Lines ◽  
Inbred Lines ◽  
Single Seed Descent ◽  
Crop Species ◽  
Biometrical Genetics ◽  
Mendelian Genetics ◽  
Linkage Disequilibria ◽  
Random Samples

The phenotypic variation that the breeder must manipulate to produce improved genotypes typically contains contributions from both heritable and non-heritable sources as well as from interactions between them. The totality of this variation can be understood only in terms of a methodology such as that of biometrical genetics - an extension of classical Mendelian genetics that retains all of its analytical, interpretative and predictive powers but only in respect of the net or summed effects of all contributing gene loci. In biometrical genetics the statistics that describe the phenotypic distributions are themselves completely described by heritable components based on the known types of gene action and interaction in combination with nonheritable components defined by the statistical properties of the experimental design. Biometrical genetics provides a framework for investigating the genetical basis and justification for current plant breeding strategies that are typified by the production of F 1 hybrids at one extreme and recombinant inbred lines at the other. From the early generations of a cross it can extract estimates of the heritable components of the phenotypic distributions that provide all the information required to interpret the cause of F 1 heterosis and predict the properties of any generation that can subsequently be derived from the cross. Applications to crosses in experimental and crop species show that true overdominance is not a cause of F 1 heterosis, although spurious overdominance arising from linkage disequilibria and non-allelic interactions can be. Predictions of the phenotypic distributions and ranges of recombinant inbred lines that should be extractable from these crosses are confirmed by observations made on random samples of inbred families produced from them by single seed descent. Within these samples, recombinant inbred lines superior to existing inbred lines and their F 1 hybrids are observed with the predicted frequencies.

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