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| 001 | 280507 | ||
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| 100 | 1 | _ | |a Pieruschka, Roland |0 P:(DE-Juel1)129379 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Preface to a Special Issue on Plant Phenotyping |
| 260 | _ | _ | |a Oxford |c 2015 |b Oxford Univ. Press |
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| 520 | _ | _ | |a One of the current challenges in plant biology is the development of quantitative phenotyping approaches to link the genotype and the environment to plant structural, functional, and yield characteristics in order to meet the growing demands for sustainable food, feed, and fuel. The genotype of a plant consists of all of the hereditary information within the individual, whilst the phenotype, which represents the morphological, physiological, anatomical, and developmental characteristics, is the result of the interaction between the genotype and the environment. Understanding this interaction is one of the major challenges in plant sciences. In plant breeding, the ultimate goal is the improvement of traits of agricultural importance related to disease resistance, high yields, and the plant’s ability to grow in unfavourable environmental conditions. Currently, breeding approaches produce an annual yield increase of approximately 1% for major crops, which is below the over 2% increase needed to meet the global demands for food by 2050 (Ray et al., 2013).Rapid developments in plant molecular biology and in molecular-based breeding techniques have resulted in an increasing number of species being sequenced and large collections of mutants, accessions, and recombinant lines allowing detailed analysis of gene functions. High-definition genotyping can now be carried out on thousands of plants in an automated way at continuously decreasing costs, thereby facilitating association genetics and the determination of multi-parental quantitative trait loci (QTLs) (Poland and Rife, 2012). For transcriptomic, proteomic, and metabolomic analyses large, often robotized, platforms are available allowing detailed characterization of the biochemical status of plants at a reasonable cost (Ehrhardt and Frommer, 2012). By contrast, an understanding of the link between genotype and phenotype has progressed more slowly and is the major limiting step in |
| 536 | _ | _ | |a 582 - Plant Science (POF3-582) |0 G:(DE-HGF)POF3-582 |c POF3-582 |f POF III |x 0 |
| 536 | _ | _ | |a EPPN - European Plant Phenotyping Network (284443) |0 G:(EU-Grant)284443 |c 284443 |f FP7-INFRASTRUCTURES-2011-1 |x 1 |
| 536 | _ | _ | |a DPPN - Deutsches Pflanzen Phänotypisierungsnetzwerk (BMBF-031A053A) |0 G:(DE-Juel1)BMBF-031A053A |c BMBF-031A053A |f Deutsches Pflanzen Phänotypisierungsnetzwerk |x 2 |
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| 700 | 1 | _ | |a Lawson, Tracy |0 P:(DE-HGF)0 |b 1 |
| 773 | _ | _ | |a 10.1093/jxb/erv395 |g Vol. 66, no. 18, p. 5385 - 5387 |0 PERI:(DE-600)1466717-4 |n 18 |p 5385 - 5387 |t The journal of experimental botany |v 66 |y 2015 |x 1460-2431 |
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