Recent Advances in Genetics and Breeding of Major Staple Food Crops
To meet the global food demand of an increasing population, food production has to be increased by 60% by 2050. The main production constraints, such as climate change, biotic stresses, abiotic stresses, soil nutrition deficiency problems, problematic soils, etc., have to be addressed on an urgent b...
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Format: | Electronic Book Chapter |
Language: | English |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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100 | 1 | |a Chin, Joong Hyoun |4 edt | |
700 | 1 | |a Swamy, Malikarjuna |4 edt | |
700 | 1 | |a Yu, Yeisoo |4 edt | |
700 | 1 | |a Chin, Joong Hyoun |4 oth | |
700 | 1 | |a Swamy, Malikarjuna |4 oth | |
700 | 1 | |a Yu, Yeisoo |4 oth | |
245 | 1 | 0 | |a Recent Advances in Genetics and Breeding of Major Staple Food Crops |
260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
300 | |a 1 electronic resource (314 p.) | ||
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520 | |a To meet the global food demand of an increasing population, food production has to be increased by 60% by 2050. The main production constraints, such as climate change, biotic stresses, abiotic stresses, soil nutrition deficiency problems, problematic soils, etc., have to be addressed on an urgent basis. More than 50% of human calories are from three major cereals: rice, wheat, and maize. The harnessing of genetic diversity by novel allele mining assisted by recent advances in biotechnological and bioinformatics tools will enhance the utilization of the hidden treasures in the gene bank. Technological advances in plant breeding will provide some solutions for the biofortification, stress resistance, yield potential, and quality improvement in staple crops. The elucidation of the genetic, physiological, and molecular basis of useful traits and the improvement of the improved donors containing multiple traits are key activities for variety development. High-throughput genotyping systems assisted by bioinformatics and data science provide efficient and easy tools for geneticists and breeders. Recently, new breeding techniques applied in some food crops have become game-changers in the global food crop market. With this background, we invited 18 eminent researchers working on food crops from across the world to contribute their high-quality original research manuscripts. The research studies covered modern food crop genetics and breeding. | ||
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 | |
650 | 7 | |a Biology, life sciences |2 bicssc | |
650 | 7 | |a Technology, engineering, agriculture |2 bicssc | |
653 | |a dry direct-seeded rice | ||
653 | |a early vigor | ||
653 | |a QTL | ||
653 | |a candidate gene | ||
653 | |a phenotyping | ||
653 | |a EMS | ||
653 | |a MutMap | ||
653 | |a mutagenesis | ||
653 | |a CLE7 | ||
653 | |a tropical maize | ||
653 | |a fasciation | ||
653 | |a mapping | ||
653 | |a radish | ||
653 | |a microspore culture | ||
653 | |a regeneration rate | ||
653 | |a outcrossing | ||
653 | |a two-way pseudo-testcross model | ||
653 | |a Oryza sativa L. | ||
653 | |a PPDK | ||
653 | |a flo4-5 | ||
653 | |a floury endosperm | ||
653 | |a rice | ||
653 | |a allelopathy | ||
653 | |a yield | ||
653 | |a HYV | ||
653 | |a Tongil | ||
653 | |a indica | ||
653 | |a japonica | ||
653 | |a SNP | ||
653 | |a molecular breeding | ||
653 | |a wheat quality | ||
653 | |a wheat milling | ||
653 | |a wheat hardness | ||
653 | |a puroindolines | ||
653 | |a water absorption capacity | ||
653 | |a crop genetics | ||
653 | |a Solanum tuberosum | ||
653 | |a abiotic stress | ||
653 | |a phenylpropanoids | ||
653 | |a essential amino acid | ||
653 | |a transcriptome | ||
653 | |a small RNA | ||
653 | |a comparative genomics | ||
653 | |a nutrition | ||
653 | |a days to heading | ||
653 | |a Hd1 | ||
653 | |a Ghd7 | ||
653 | |a Hd16 | ||
653 | |a chromosome segment substitution lines (CSSLs) | ||
653 | |a quantitative trait locus (QTL) | ||
653 | |a marker-assisted selection (MAS) | ||
653 | |a cold tolerance (CT) | ||
653 | |a gene editing | ||
653 | |a genetically modified | ||
653 | |a genetically modified organism (GMO) | ||
653 | |a crop breeding | ||
653 | |a ribonucleoprotein complex (RNP) | ||
653 | |a genetic screening | ||
653 | |a landraces | ||
653 | |a genetic diversity | ||
653 | |a population structure | ||
653 | |a West Africa | ||
653 | |a maize improvement | ||
653 | |a DArTseq markers | ||
653 | |a co-expression network | ||
653 | |a drought-tolerant-yield | ||
653 | |a reproductive-stage drought | ||
653 | |a qDTYs | ||
653 | |a transcriptomics | ||
653 | |a watermelon | ||
653 | |a pentatricopeptide-repeat (PPR) gene family | ||
653 | |a comprehensive analysis | ||
653 | |a expression profiling | ||
653 | |a flesh color | ||
653 | |a canola | ||
653 | |a Brassica napus | ||
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653 | |a 'KDML105' rice | ||
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653 | |a interspecific cross | ||
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653 | |a peanut | ||
653 | |a core collection | ||
653 | |a genome-wide association study | ||
653 | |a linkage disequilibrium | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/4034 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/76589 |7 0 |z DOAB: description of the publication |