The QTL Analysis of RuBisCO in Flag Leaves and Non-Structural Carbohydrates in Leaf Sheaths of Rice Using Chromosome Segment Substitution Lines and Backcross Progeny F₂ Populations

Identification and characterization of genomic regions on chromosomes 4 and 8 that control the rate of photosynthesis in rice leaves

“…Kanbe et al (2009) detected several QTLs for Rubisco content on chromosome 10 using CSSLs and backcross progeny populations derived from a cross between Koshihikari and Kasalath. Talukder et al (2005) identified QTLs for the nitrogen concentration in individual plants on chromosomes 1, 2, 3, 7, 10, 11, and 12 using recombinant inbred lines derived from a cross between Bala and Azucena.…”

Effects of temperature on growth and photosynthesis in the seedling stage of the sheath blight-resistant rice genotype 32R

“…Frozen leaves (0.2 g) were ground with a chilled mortar and pestle with 0.2 g quartz sand and 2 mL of extraction buffer described by Kanbe et al (2009) with a slight modification. The buffer contained 50 mM Tris-HCl (pH 7.9), 10 mM MgCl 2 , 0.5 mM ethylenediaminetetraacetatic acid (EDTA)-NaOH, 5 mM dithiothreitol, 0.2% (w/v) polyvinylpolypyrrolindone and 0.1% (w/v) Triton X-100.…”

Robust phenotyping strategies for evaluation of stem non-structural carbohydrates (NSC) in rice

“…Despite general acceptance of the temporal and spatial patterns of rice stem NSC, estimates for the overall contribution of these stored carbohydrates to final grain yield vary widely across studies. While some document a significant contribution of stem reserves to final yield (up to 40%) (Van Dat and Peterson, 1983; Samonte et al , 2001; Kanbe et al , 2009), others report no such association, pointing to sink limitation (unpublished data cited in Setter et al , 1994). Several studies show evidence of enhanced contribution to grain-filling during suboptimum conditions (e.g.…”

“…vascular bundle formation) that likely confer nuances to stem NSC, only very large quantitative trait loci (QTLs) that span many megabases of the rice genome have been discovered so far using bi-parental mapping populations. (Nagata et al , 2002; Kashiwagi and Ishimaru, 2004; Kashiwagi et al , 2006, 2008; Kanbe et al , 2009). No QTLs have been reported in the literature using genome-wide association studies (GWAS) for rice stem NSC.…”