Genetic variation for nitrogen use efficiency in a set of recombinant inbred lines II-QTL detection and coincidences

By P. Bertin, A. Gallais. 2001

119 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/acd67942e81024e9df1ac452a58da85f39c0758a

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Citations in the corpus

Mapping QTLs for root traits under different nitrate levels at the seedling stage in maize (Zea mays L.) (2008, background): “Bertin and Gallais (2001) showed that QTLs detected under HN were more than under LN for grain yield and N uptake efficiency, but there were more QTLs under LN for N utilization efficiency, suggesting there are specific QTLs for N uptake and utilization under both N conditions.”
The challenge of improving nitrogen use efficiency in crop plants: towards a more central role for genetic variability and quantitative genetics within integrated approaches. (2007, background): “Bertin and Gallais (2001) found that most of the chromosomal regions for yield, grain composition, and traits related to NUE detected at low N input corresponded to quantitative trait loci (QTLs) detected at high N input, whereas Agrama et al. (1999) detected more QTLs at low N input.”
Mapping quantitative trait loci for flag leaf senescence as a yield determinant in winter wheat under optimal and drought-stressed environments (2004, background): “Interestingly, chromosomes of homoeologous group 2 of wheat are orthologous to chromosome F of sorghum and chromosome 10 of maize (Gale & Devos, 1998), where similar QTL have been reported by Tuinstra et al. (1997) and Bertin & Gallais, 2001), respectively.”
Modeling and mapping QTL for senescence-related traits in winter wheat under high temperature (2010, background): “Bertin and Gallais (2001) reported stay-green QTL on chromosome 10 of maize.”