Advances in Cereal Crops Breeding

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 ass...

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Other Authors: Loskutov, Igor G. (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
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Online Access:Get Fullteks
DOAB: description of the publication
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041 0 |a English 
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072 7 |a GP  |2 bicssc 
100 1 |a Loskutov, Igor G.  |4 edt 
700 1 |a Loskutov, Igor G.  |4 oth 
245 1 0 |a Advances in Cereal Crops Breeding 
260 |a Basel, Switzerland  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2021 
300 |a 1 electronic resource (196 p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |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. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a Research & information: general  |2 bicssc 
653 |a maize 
653 |a density tolerance 
653 |a combining ability 
653 |a gene effects 
653 |a genetic diversity 
653 |a rice 
653 |a salinity 
653 |a submergence tolerance 
653 |a blast 
653 |a SSR markers 
653 |a PCR analysis 
653 |a long non-coding RNAs 
653 |a seed development 
653 |a Nanopore sequencing 
653 |a retrotransposons 
653 |a triticale 
653 |a prediction accuracy 
653 |a mixed linear and Bayesian models 
653 |a machine learning algorithms 
653 |a training set size and composition 
653 |a parametric and nonparametric models 
653 |a drought stress 
653 |a dendrogram 
653 |a barley 
653 |a breeding 
653 |a marker-assisted selection 
653 |a genes 
653 |a genetic resources 
653 |a genome editing 
653 |a health benefits 
653 |a metabolomics 
653 |a oat 
653 |a QTL 
653 |a wheat 
653 |a Triticum aestivum L. 
653 |a QMrl-7B 
653 |a root traits 
653 |a grain yield 
653 |a nitrogen use efficiency 
653 |a GWAS 
653 |a salinity tolerance 
653 |a Vietnamese landraces 
653 |a abiotic stress 
653 |a root 
653 |a auxin 
653 |a YUCCA 
653 |a PIN 
653 |a proteomics 
653 |a mass spectrometry 
653 |a n/a 
856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/4737  |7 0  |z Get Fullteks 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/77118  |7 0  |z DOAB: description of the publication