| 000 | 03055namaa2200553uu 4500 | ||
|---|---|---|---|
| 001 | oapen61524 | ||
| 003 | oapen | ||
| 005 | 20231221121330.0 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 230227s2022 xx |||||o ||| 0|eng d | ||
| 020 | _a9781801463126 | ||
| 020 | _aAS.2022.0102.12 | ||
| 024 | 7 |
_a10.19103/AS.2022.0102.12 _2doi |
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| 040 |
_aoapen _coapen |
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| 041 | 0 | _aeng | |
| 042 | _adc | ||
| 072 | 7 |
_aPSTD _2bicssc |
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| 072 | 7 |
_aTVF _2bicssc |
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| 072 | 7 |
_aTVK _2bicssc |
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| 100 | 1 |
_aVirlet, Nicolas _4auth _91652311 |
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| 245 | 1 | 0 | _aDigital phenotyping and genotype-to-phenotype (G2P) models to predict complex traits in cereal crops |
| 260 |
_aCambridge _bBurleigh Dodds Science Publishing _c2022 |
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| 300 | _a1 electronic resource (40 p.) | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 1 | _aBurleigh Dodds Series in Agricultural Science | |
| 506 | 0 |
_aOpen Access _fUnrestricted online access _2star |
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| 520 | _aThe revolution in digital phenotyping combined with the new layers of omics and envirotyping tools offers great promise to improve selection and accelerate genetic gains for crop improvement. This chapter examines the latest methods involving digital phenotyping tools to predict complex traits in cereals crops. The chapter has two parts. In the first part, entitled "Digital phenotyping as a tool to support breeding programs", the secondary phenotypes measured by high-throughput plant phenotyping that are potentially useful for breeding are reviewed. In the second part, "Implementing complex G2P models in breeding programs", the integration of data from digital phenotyping into genotype to phenotype (G2P) models to improve the prediction of complex traits using genomic information is discussed. The current status of statistical models to incorporate secondary traits in univariate and multivariate models, as well as how to better handle longitudinal (for example light interception, biomass accumulation, canopy height) traits, is reviewed. | ||
| 536 | _aRothamsted Research | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc _uhttps://creativecommons.org/licenses/by/4.0/ |
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| 546 | _aEnglish | ||
| 650 | 7 |
_aAgronomy & crop production _2bicssc _91560720 |
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| 650 | 7 |
_aPlant physiology _2bicssc |
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| 650 | 7 |
_aSustainable agriculture _2bicssc _943189 |
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| 653 | _abreeding | ||
| 653 | _aenvirotyping | ||
| 653 | _afield phenotyping | ||
| 653 | _aG2P | ||
| 653 | _amodelling | ||
| 653 | _aPhenomics | ||
| 700 | 1 |
_aHawkesford, Malcolm J. _4auth _91652312 |
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| 700 | 1 |
_aLyra, Danilo H. _4auth _91652313 |
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| 773 | 1 | _7nnaa | |
| 793 | 0 | _aOAPEN Library. | |
| 856 | 4 | 0 |
_uhttps://library.oapen.org/bitstream/id/f3729744-103a-4f4d-83b0-095906e9cb44/9781801463126_web.pdf _70 _zOpen Access: OAPEN Library, download the publication |
| 856 | 4 | 0 |
_uhttps://library.oapen.org/handle/20.500.12657/61524 _70 _zOpen Access: OAPEN Library: description of the publication |
| 999 |
_c3084118 _d3084118 |
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