Transform rice breeding through integration of genomic selection with regional testing network

Genomic prediction can be a powerful tool to achieve greater rates of genetic gain for quantitative traits if thoroughly integrated into a breeding strategy. In rice as in other crops, the interest in genomic prediction is very strong with a number of studies addressing multiple aspects of its use, ranging from the more conceptual to the more practical. There are important considerations for the integration of genomic prediction in public breeding programs especially while integrating rice regional testing network partners for phenotyping the training sets in the partner locations. The irrigated breeding program at the International Rice Research Institute is used as a concrete example on which we provide data and R scripts to reproduce the analysis but also to highlight practical challenges regarding the use of predictions. The adage: "To someone with a hammer, everything looks like a nail" describes a common psychological pitfall that sometimes plagues the integration and application of new technologies to a discipline. In here we try to outline the benefits and bottlenecks of applying genomic prediction in an active breeding program.

Bibliographic Details

Main Authors:	Prakash, Parthiban Thathapalli, Arbelaez Velez, Juan David, Bartholome, Jérôme, Imee Zhella, Rose, Verdeprado, Holden, Lopena, Vitaliano, Rutkoski, Jessica, Rafiqul, Mohammad, Murori, Rosemary, Ndayiragije, Alexis, Singh, V.P., Kumar Katiyar, Sanjay, Cobb, Joshua N., Kadaru, Suresh, Bhosale, Sankalp
Format:	conference_item biblioteca
Language:	eng
Published:	PAG
Online Access:	http://agritrop.cirad.fr/600265/ http://agritrop.cirad.fr/600265/1/ID600265.pdf
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