Agriculture Reference
In-Depth Information
Conclusions
In light of scarce resources, increasing fertiliser production costs and the
demand for greater crop production, the development of nutrient-efficient
varieties is increasingly important. Both nutrient uptake and metabolic path-
ways are under the control of a complex regulatory network involving many
genes. The identification of large-effect QTL/genes is therefore a challenge
(Vinod and Heuer 2012 ). With the experiences gained in QTL mapping and
the rapid development of genome-sequencing and molecular-marker technol-
ogies, more high-impact, large-effect QTL will surely be identified in the
future. These efforts require expertise in different disciplines and, therefore,
modern breeding is being implemented more and more in multidisciplinary
teams involving breeders, physiologists and molecular biologists/geneticists.
With the advances in molecular breeding technologies, breeders now have
access to genes from wild species and unadapted genotypes that are difficult
to use in breeding programmes due to crossing barriers and their poor
agronomic performance. Molecular breeding therefore provides an exciting
opportunity to use these gene pools effectively for the development of
well-adapted and nutrient-efficient plants.
References
Arabidopsis Genome Initiative (2000) Analysis of the genome sequence of the flowering plant
Arabidopsis thaliana . Nature 408:796-815
Arikita FN, Azevedo MS, Scotton DC, Pinto MDS, Figueira A, Peres LEP (2013) Novel natural
genetic variation controlling the competence to form adventitious roots and shoots from the
tomato wild relative Solanum pennellii . Plant Sci 199/200:121-130
Armengaud P, Zambaux K, Hills A, Sulpice R, Pattison RJ, Blatt MR, Amtmann A (2009)
EZ-Rhizo: integrated software for the fast and accurate measurement of root system architec-
ture. Plant J 57:945-956
BelĀ“ A, Zheng P, Luck S, Shen B, Meyer DJ, Li B, Tingey S, Rafalski A (2008) Whole genome
scan detects an allelic variant of fad2 associated with increased oleic acid levels in maize. Mol
Genet Genomics 279:1-10
Bergelson J, Roux F (2010) Towards identifying genes underlying ecologically relevant traits in
Arabidopsis thaliana . Nat Rev Genet 11:867-879
Blair MW, Knewtson SJ, Astudillo C, Li CM, Fernandez AC, Grusak MA (2010) Variation and
inheritance of iron reductase activity in the roots of common bean ( Phaseolus vulgaris L.) and
association with seed iron accumulation QTL. BMC Plant Biol 10:215
Borevitz JO, Nordborg M (2003) Update on genomics and natural variation in Arabidopsis. The
impact of genomics on the study of natural variation in Arabidopsis . Plant Physiol 132:718-
725
Calenge F, Saliba-Colombani V, Mahieu S, Loudet O, Daniel-Vedele F, Krapp A (2006) Natural
variation for carbohydrate content in Arabidopsis. Interaction with complex traits dissected by
quantitative genetics. Plant Physiol 141(4):1630-1643
Chardon F (2012) Exploring NUE in crops and in Arabidopsis ideotypes to improve yield and seed
quality. J Exp Bot 63:3401-3412
 
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