title: Finlay-Wilkinson's regression coefficient as a pre-screening criterion for yield responsiveness to elevated atmospheric CO2concentration in crops.
abstract: The rising atmospheric CO2concentration ([CO2]) can increase crop productivity, but there are likely to be intraspecific variations in the response. To meet future world food demand, screening for genotypes with high [CO2] responsiveness will be a useful option, but there is no criterion for high [CO2] responsiveness. We hypothesized that the Finlay-Wilkinson regression coefficient (RC) (for the relationship between a genotype's yield versus the mean yield of all genotypes in a specific environment) could serve as a pre-screening criterion for identifying genotypes that respond strongly to elevated [CO2]. We collected datasets on the yield of 6 rice and 10 soybean genotypes along environmental gradients and compared their responsiveness to elevated [CO2] based on the regression coefficients (i.e. the increases of yield per 100 µmol mol-1[CO2]) identified in previous reports. We found significant positive correlations between the RCs and the responsiveness of yield to elevated [CO2] in both rice and soybean. This result raises the possibility that the coefficient of the Finlay-Wilkinson relationship could be used as a pre-screening criterion for [CO2] responsiveness.
authors.affiliation: Agro-Environmental Research Division, NARO Tohoku Agricultural Research Center, Morioka, 020-0198, Japan.
authors.forename: Etsushi
authors.initials: E
authors.lastname: Kumagai
authors.affiliation: Graduate School of Agriculture, Tohoku University, Sendai, 981-8555, Japan.
authors.forename: Koki
authors.initials: K
authors.lastname: Homma
authors.affiliation: Faculty of Agriculture, Iwate University, Morioka, 020-8850, Japan.
authors.forename: Eiki
authors.initials: E
authors.lastname: Kuroda
authors.affiliation: Faculty of Agriculture, Iwate University, Morioka, 020-8850, Japan. shimn@iwate-u.ac.jp.
authors.forename: Hiroyuki
authors.initials: H
authors.lastname: Shimono
mesh_terms: D001272:Atmosphere / Q000032:analysis; D002245:Carbon Dioxide / Q000032:analysis / Q000378:metabolism*; D018556:Crops, Agricultural / Q000235:genetics / Q000254:growth & development*; D005838:Genotype; D015233:Models, Statistical; D012275:Oryza / Q000235:genetics / Q000254:growth & development; D013025:Glycine max / Q000235:genetics / Q000254:growth & development
chemical_list: D002245:Carbon Dioxide