Implementation of molecular markers for quantitative traits in breeding programs - challenges and opportunities

By Jim Holland. 2004

132 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fbf38d5087fd0cd884f1b3fb2cc6d4d4dac6ff35

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. M. Sorrells
2. Jean-Luc Jannink
3. E. Heffner
4. J. Rutkoski
5. F. Işık
6. Yunbi Xu
7. Pankaj Kumar Gupta
8. R. Bernardo

Citations in the corpus

• Gene pyramiding-a broad spectrum technique for developing durable stress resistance in crops. (2010, background): “So, it is better that marker-QTL linkage estimates will have to be updated regularly to account for recombination occurring between many linked QTLs as well as between QTL and markers (Holland, 2004).”
• Marker-assisted selection: an approach for precision plant breeding in the twenty-first century (2008, background): “Three general levels of marker-assisted backcrossing (MAB) can be described (Holland 2004; figure 3).”
• Genomic Selection for Crop Improvement (2017, unknown): “Also, mapping within breeding populations will allow for QTL identifi cation and allelic value estimates that can be directly utilized by MAS without the need for extensive validation (Breseghello and Sorrells , 2006; Holland, 2004).”
• Genomic Selection Accuracy for Grain Quality Traits in Biparental Wheat Populations (2011, background): “Eff ective marker-assisted selection (MAS) has largely been based on predictions derived from a few markers that are linked to large eff ect quantitative trait loci (QTL) (Holland, 2004).”
• Marker-assisted wheat breeding: present status and future possibilities (2010, methodology): “rarely followed in forward-selection and the selection is mainly restricted to marker loci linked to major and consistent QTL ( Holland 2004 ).”
• Genomic selection in forest tree breeding: the concept and an outlook to the future (2014, background): “Positioning of QTL in the genome has been far from precise (Holland 2004).”
• Marker-Assisted Selection in Plant Breeding: From Publications to Practice (2008, background): “CONCLUSIONS AND FUTURE PROSPECTS Marker-assisted selection has been successful for introgressing and pyramiding major-eff ect genes, however many challenges remain to be resolved before MAS can routinely provide added value for breeding very complex traits (Holland, 2004).”
• QTL Mapping for Fusarium Ear Rot and Fumonisin Contamination Resistance in Two Maize Populations (2006, methodology): “…of phenotypically evaluating Fusarium ear rot and mycotoxin contamination, the availability of PCR-based DNA markers linked to genes with at least moderate effects on resistance could permit more efficient selection strategies based on marker genotyping (Holland, 2004; Robertson et al., 2005).”
• Molecular Markers and Selection for Complex Traits in Plants: Learning from the Last 20 Years (2008, background): “The MARS scheme satisfi es this “catch-22” situation (Holland, 2004): when marker-trait associations are identifi ed in Year 1, a suffi cient number of environments should be used so that phenotypic measurements are reliable.”
• Genomic selection for durable stem rust resistance in wheat (2011, background): “MAS has been mostly limited to improving traits with MABC of major genes ( Holland 2004 ), as introgression of many genes required to improve traits that are quantitatively inherited is not logistically feasible for most breeding programs (Wang et al. 2007; Xu and Crouch 2008).”
• Genetic Improvement of Sorghum as a Biofuel Feedstock: II. QTL for Stem and Leaf Structural Carbohydrates (2008, unknown): “Because height and fl owering time aff ect so many traits, development of molecular markers at these QTL would be highly advantageous for rapid selection of desirable phenotypes (Holland, 2004).”
• Genomic Selection Accuracy using Multifamily Prediction Models in a Wheat Breeding Program (2011, background): “However, when heritability is high and PS is relatively inexpensive, there will be little room for marker-based selection to improve on PS (Holland, 2004; Hospital et al., 1997; Lande and " ompson, 1990).”