RICE GENETICS III: Proceedings of the Third International by Gurdev S Khush, Gene Hettel, Tess Rola (editors)

By Gurdev S Khush, Gene Hettel, Tess Rola (editors)

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Additional info for RICE GENETICS III: Proceedings of the Third International Rice Genetics Symposium (Manila, Philippines, 16–20 October 1995)

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DNA probes The probes used for hybridization consisted mainly of cDNA clones, genomic clones, and RAPD markers all derived from japonica cultivar, Nipponbare. The cDNA clones consisted of randomly selected clones from callus and root cDNA libraries. The nucleotide sequence from the 5' end for 300–400 bp was determined and translated into an amino acid sequence. Then a similarity search at the protein level was performed in the NBRF-PIR data base using the FASTA algorithm. Clones showing an optimized matching score of more than 150 with amino acid sequences in other organisms were considered as functionally identical clones.

The seven research problem areas ranked as most important using the earlier data are all among the top 11 RPAs in the second set of results and are identical with the top seven when China is excluded (right columns). Fifteen of the top 25 RPAs appear on all three lists. Implications and conclusions The methodology first applied by Evenson (1996) and used here is an advance over earlier methods for setting priorities among alternative rice research possibilities (Herdt 1991). The new methodology generates an optimal portfolio of research investments while earlier methodology generated a rank ordering of problem areas based on losses/ gains.

Rice production constraints in China. In: Evenson RE, Herdt RW, Hossain M, editors. Rice research in Asia: progress and priorities. Wallingford (UK): CAB International. p 161–178. Norton GW, Pardey PG. 1995. Priority setting for agricultural research. Department of Agricultural Economics, Virginia Polytechnic Institute and State University and Department of Agricultural and Applied Economics, University of Minnesota, and ISNAR. ) Ramasamy C. 1996. Constraints to higher rice yields in different rice production environments and prioritization of rice research in southern India.

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