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Tools and application of phenotyping 1 in wheat

By: Contributor(s): Material type: TextTextLanguage: English Publication details: United Kingdom : Burleigh Dodds Science Publishing, 2018.Subject(s): Online resources: Summary: Phenotyping serves both research and breeding purposes. For research, precise and often costly procedures are employed to phenotype strategic traits in order to gain a better understanding of how genotypes adapt to different environments. For breeding, both strategic and screening traits are considered, the latter typically being measured at high throughput. Strategic traits -of which there are dozens of candidates - are considered when selecting among potential parents to identify lines that when crossed combine potentially complementary characteristics. In contrast, given the large numbers of lines involved in progeny selection (thousands/cross), high throughput phenotyping of screening traits is more commonly employed. Relatively few high throughput screening traits have been validated, typically those amenable to remote sensing or visual scoring. Among them, the most successful to date have been canopy temperature and a few spectral indices related to green area such as the normalized vegetative difference index.
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Phenotyping serves both research and breeding purposes. For research, precise and often costly procedures are employed to phenotype strategic traits in order to gain a better understanding of how genotypes adapt to different environments. For breeding, both strategic and screening traits are considered, the latter typically being measured at high throughput. Strategic traits -of which there are dozens of candidates - are considered when selecting among potential parents to identify lines that when crossed combine potentially complementary characteristics. In contrast, given the large numbers of lines involved in progeny selection (thousands/cross), high throughput phenotyping of screening traits is more commonly employed. Relatively few high throughput screening traits have been validated, typically those amenable to remote sensing or visual scoring. Among them, the most successful to date have been canopy temperature and a few spectral indices related to green area such as the normalized vegetative difference index.

Wheat CRP FP2 - Novel diversity and tools adapt to climate change and resource constraints

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