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220822 ||| eng |
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|a 9783036526515
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|a 9783036526508
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|a books978-3-0365-2651-5
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1 |
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|a Loskutov, Igor G.
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| 245 |
0 |
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|a Advances in Cereal Crops Breeding
|h Elektronische Ressource
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| 260 |
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2021
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| 300 |
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|a 1 electronic resource (196 p.)
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| 653 |
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|a genetic diversity
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|a root traits
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|a salinity tolerance
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|a genes
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|a retrotransposons
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|a blast
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| 653 |
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|a n/a
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|a nitrogen use efficiency
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| 653 |
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|a PCR analysis
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| 653 |
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|a YUCCA
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| 653 |
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|a genetic resources
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|a health benefits
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| 653 |
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|a QTL
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|a mass spectrometry
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|a training set size and composition
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|a gene effects
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|a parametric and nonparametric models
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|a submergence tolerance
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|a long non-coding RNAs
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|a mixed linear and Bayesian models
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|a Triticum aestivum L.
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|a oat
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|a marker-assisted selection
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|a prediction accuracy
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| 653 |
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|a auxin
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| 653 |
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|a SSR markers
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| 653 |
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|a seed development
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| 653 |
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|a Vietnamese landraces
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| 653 |
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|a Research & information: general / bicssc
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|a root
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| 653 |
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|a combining ability
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| 653 |
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|a abiotic stress
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| 653 |
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|a machine learning algorithms
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| 653 |
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|a GWAS
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| 653 |
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|a proteomics
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| 653 |
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|a salinity
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| 653 |
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|a PIN
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| 653 |
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|a rice
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| 653 |
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|a QMrl-7B
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| 653 |
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|a breeding
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| 653 |
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|a maize
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| 653 |
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|a wheat
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| 653 |
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|a dendrogram
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|a drought stress
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| 653 |
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|a barley
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| 653 |
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|a grain yield
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| 653 |
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|a Nanopore sequencing
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|a triticale
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|a metabolomics
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|a genome editing
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|a density tolerance
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1 |
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|a Loskutov, Igor G.
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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|a 10.3390/books978-3-0365-2651-5
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4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/77118
|z DOAB: description of the publication
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| 856 |
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|u https://www.mdpi.com/books/pdfview/book/4737
|7 0
|x Verlag
|3 Volltext
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|a 000
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|a 610
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|a 333
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|a This Special Issue on 'Advances in Cereal Crops Breeding' comprises 10 papers covering a wide range of subjects, including the expression-level investigation of genes in terms of salinity stress adaptations and their relationships with proteomics in rice, the use of genetic analysis to assess the general combining ability (GCA) and specific combining ability (SCA) in promising hybrids of maize, the use of DNA markers based on PCR in rice, the identification of quantitative trait loci (QTLs) in wheat and simple sequence repeats (SSR) in rice, the use of single-nucleotide polymorphisms (SNP) in a genome-wide association study (GWAS) in cereals, and Nanopore direct RNA sequencing of related with LTR RNA retrotransposon in triticale prior to the genomic selection of heterotic maize hybrids.
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