Crop Systems Biology 2016
DOI: 10.1007/978-3-319-20562-5_9
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Modelling QTL-Trait-Crop Relationships: Past Experiences and Future Prospects

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Cited by 15 publications
(14 citation statements)
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“…Reymond et al , 2003; Nakagawa et al , 2005) and rice grain yield under water deficit conditions (Gu et al , 2014). Such QTL-based crop modelling also supports marker-assisted selection to accelerate traditional breeding (Gu et al , 2014; Hammer et al , 2016; Xu and Buck-Sorlin, 2016; Yin et al , 2016).…”
Section: Introductionmentioning
confidence: 83%
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“…Reymond et al , 2003; Nakagawa et al , 2005) and rice grain yield under water deficit conditions (Gu et al , 2014). Such QTL-based crop modelling also supports marker-assisted selection to accelerate traditional breeding (Gu et al , 2014; Hammer et al , 2016; Xu and Buck-Sorlin, 2016; Yin et al , 2016).…”
Section: Introductionmentioning
confidence: 83%
“…However, parameters of eco-physiological models are commonly measured or estimated from phenotyping experiments, and their genetic basis is largely unknown (Kromdijk et al , 2014). Several studies have therefore tried to link crop modelling with QTL analysis (see review by Yin et al , 2016). Using such an approach, grain yield was first predicted in barley (Yin et al , 2000), later followed by studies for simpler traits (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, correlation coefficients should be carefully derived via multi‐environmental trials to avoid including any G × E effect in the relationships, and this is currently unavailable (Jahn et al., ). For these reasons, despite explicitly considering correlations between traits would likely increase the in vivo feasibility of ideotypes (Yin, Struik, Gu, & Wang, ), they are not included in current model‐based ideotyping studies (e.g. Casadebaig et al., ; Quilot‐Turion, Genard, Valsesia, & Memmah, ).…”
Section: Discussionmentioning
confidence: 99%
“…This kind of analysis was built on the assumptions of a close relationship between model parameters and plant traits (Martre, He, et al, 2015) and of a proper formalization in models of the knowl- (Jahn et al, 2011). For these reasons, despite explicitly considering correlations between traits would likely increase the in vivo feasibility of ideotypes (Yin, Struik, Gu, & Wang, 2016), they are not included in current model-based ideotyping studies (e.g. Casadebaig et al, 2016;Quilot-Turion, Genard, Valsesia, & Memmah, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…The general aim for developing sets of ILs is to represent the whole genome of a donor parent, almost always an exotic or wild genotype, in the genetic background of a recipient cultivated parent through a set of lines carrying overlapping homozygous chromosome fragments of the former in the latter (Eshed and Zamir, 1994 ; Zamir, 2001 ; Eduardo et al, 2005 ). Several studies have demonstrated the higher efficiency of ILs and near isogenic lines (NILs) in QTL estimation than other segregating populations, such as F2, double haploid lines and RILs (Wehrhahn and Allard, 1965 ; Eshed and Zamir, 1995 ; Kearsey and Farquhar, 1998 ; Lebreton et al, 1998 ; Alonso-Blanco et al, 2006 ; Yin et al, 2016 ).…”
Section: Introductionmentioning
confidence: 99%