2004
DOI: 10.2135/cropsci2004.0925
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QTL Analysis of Morphological, Developmental, and Winter Hardiness-Associated Traits in Perennial Ryegrass

Abstract: key variables: leaf appearance rate, leaf elongation rate, and leaf lifespan. The expression of each of these traits is Quantitative trait loci (QTLs) for a number of agronomically imunder both genetic and environmental control (Lemaire portant traits of perennial ryegrass (Lolium perenne L.) were identiand Chapman, 1996), and leaf development in Lolium fied by means of a reference molecular marker-based genetic map. Replicated phenotypic data was obtained for a number of field-assessed has been demonstrated t… Show more

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Cited by 76 publications
(115 citation statements)
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(3 reference statements)
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“…Recently, the vernalisation locus Vrn1 mapped onto wheat chromosome 5A (Galiba et al, 1995) was located on chromosome 4 in L. perenne (Jensen et al, 2005). Moreover, on the same chromosome in perennial ryegrass, close to a heading date locus, was identified a QTL for electrical conductivity corresponding to frost tolerance (Yamada et al, 2004). Principal genes for photoperiod response, which could also be involved in the regulation of freezing tolerance, have been mapped on wheat chromosome 2 (Law et al, 1978;Law, 1983, 1984;Sourdille et al, 2000).…”
Section: Discussionmentioning
confidence: 99%
“…Recently, the vernalisation locus Vrn1 mapped onto wheat chromosome 5A (Galiba et al, 1995) was located on chromosome 4 in L. perenne (Jensen et al, 2005). Moreover, on the same chromosome in perennial ryegrass, close to a heading date locus, was identified a QTL for electrical conductivity corresponding to frost tolerance (Yamada et al, 2004). Principal genes for photoperiod response, which could also be involved in the regulation of freezing tolerance, have been mapped on wheat chromosome 2 (Law et al, 1978;Law, 1983, 1984;Sourdille et al, 2000).…”
Section: Discussionmentioning
confidence: 99%
“…The development of near infra-red reflectance spectroscopy (NIRS) analysis for prediction of forage quality has facilitated rapid and non-destructive evaluation of samples from plant breeding programs. NIRS has been used to develop calibrations to predict a wide range of forage quality traits (Marten et al 1984; Smith and Flinn QTLs for a number of traits related to vegetative and reproductive morphogenesis, reproductive development and winter hardiness have already been identified (Yamada et al 2004). The framework marker set, that is dominated by anonymous and non-genic genetic markers, may be selectively enhanced with functionally-associated genetic markers based on expressed sequences (Kurata et al 1994;Chao et al 1994;Schneider et al 1999;Tanksley et al 1992).…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the major QTL in the F 2 /WSC and ILGI perennial ryegrass populations was identified on LG7, which is associated with the position of the genes Hd3a and Hd1, two heading date genes of rice on chromosome 6. However, analysis of the ILGI population grown in Japan identified a QTL on LG4, but not the QTL reported on LG7 [50,51]. This result emphasizes the importance of adaptation in plants to the broad range of agro-environmental conditions in which they grow.…”
Section: Qtls Analysismentioning
confidence: 68%