| A | |
| ABA | 7.08 |
| ABA/drought | 6.25 |
| abiotic stress | 2.03, 2.07, 2.42, 6.03 |
| abiotic stress response | 1.30, 2.46 |
| abiotic stresses | 2.49 |
| abiotic tolerance | 4.13 |
| abiotic/biotic stress | 6.26 |
| abscisic acid | 2.05 |
| abscisic acid-stress-ripening | 2.13 |
| accessions | 2.14 |
| adaptation | 2.01, 6.02, 6.13 |
| agri-photovoltaic | 2.02 |
| Agrobacterium-mediated transformation | 6.24 |
| agrobiodiversity | 1.22 |
| agrofood systems | 1.21 |
| agroforestry | 4.23 |
| alfalfa | 3.11 |
| Algeria | 2.31 |
| alien species | 1.27 |
| allele mining | 6.19 |
| allele variation | 1.34 |
| allergens | 1.71 |
| almond | 6.19, 6.20 |
| anther | 6.27, 7.29 |
| Anthesis | 1.34 |
| anthesis control | 1.37 |
| anthocyanins | 1.59, 1.61, 1.62, 1.66, 2.41 |
| antifungal compounds | 2.39 |
| antinutritional molecules | 1.67 |
| antioxidant compounds | 4.10 |
| AP2/ERF | 6.10 |
| apple | 1.73, 6.06 |
| apple scab | 6.15 |
| Apulia | 6.32 |
| Arabidopsis | 1.34 |
| Arabidopsis thaliana | 5.05 |
| ascorbic acid | 7.25 |
| ASR | 2.13 |
| AT4G08850 | 1.36 |
| autopolyploidy | 2.40 |
| B | |
| B-glucan content | 1.54 |
| backcross inbred lines | 1.45 |
| bacterial community | 4.23 |
| barley | 1.41, 2.02, 2.19, 2.20, 3.01, 3.20, 4.02 |
| barley cultivars | 4.18 |
| barley mutants | 2.21 |
| base editing | 7.06 |
| bean | 2.08 |
| belowground traits | 4.02 |
| beneficial fungi | 4.09 |
| berry ripening | 1.11 |
| berry texture | 6.28 |
| bioactive compounds | 1.55, 1.66 |
| bioactive molecules | 1.70 |
| biochar | 4.10 |
| bioclimatic evaluation | 2.31 |
| biodiversity | 1.19, 2.14, 2.31, 2.36, 4.24, 6.33 |
| biodiversity conservation | 2.34 |
| biofortification | 7.21, 7.22 |
| bioinformatics | 4.22, 6.14 |
| biostimulant | 4.16 |
| biostimulants | 4.08 |
| biotic stress | 2.03, 2.42, 6.24 |
| biotic stress resistance | 7.30 |
| black scurf | 2.39 |
| Blumeria graminis | 1.45 |
| Brachypodium | 1.56 |
| Brassica napus | 3.08 |
| Brassica oleracea | 1.23 |
| bread wheat | 2.11, 2.12, 3.21 |
| breeding | 1.09, 2.22, 2.32, 3.07, 6.19, 7.29 |
| breeding for resilience | 2.10 |
| breeding strategy | 3.11 |
| broccoli-raab | 1.37 |
| broomrape | 1.09 |
| BSA-seq | 2.48 |
| Budbreak | 5.07 |
| C | |
| calli | 7.27 |
| callus culture | 1.64 |
| Camelina sativa | 2.32 |
| candidate genes | 1.05, 1.56 |
| candidate genes association analysis | 6.03 |
| cannabinoids | 1.63, 1.68 |
| Cannabis sativa L. | 1.60 |
| CAPS markers | 3.14 |
| Capsicum annum L. | 1.52 |
| Capsicum annuum | 1.65, 3.14 |
| carboxylesterase | 2.43 |
| carotenoid genetics | 1.01 |
| carpel development | 7.09 |
| cauliflower | 3.07 |
| CBCA | 1.68 |
| cell suspension culture | 3.21 |
| cell wall | 1.16, 6.28 |
| cellular agriculture | 1.70 |
| cellulose | 1.16 |
| centromeres | 5.03 |
| cereal | 3.23 |
| chemical characterization | 1.53 |
| chemical treatment | 3.25 |
| chicory | 1.36 |
| ChIP-Seq | 1.15, 5.09, 5.10 |
| Chromatin Immunoprecipitation | 3.10 |
| chromosome engineering | 3.15 |
| Cichorium endivia | 1.35 |
| Cime di Rapa | 1.34 |
| Circadian clock | 4.03 |
| cis-regulatory elements | 2.27 |
| cisgenesis | 7.02, 7.30 |
| cisgenesis and genome editing | 7.31 |
| Citrus | 5.06 |
| Citrus rootstock | 2.30 |
| citrus varieties | 7.31 |
| Cleaved Amplified Polymorphic Sequences (CAPS) | 3.13 |
| climate adaptation | 6.03 |
| climate change | 2.06, 2.18, 2.35, 5.07, 6.18 |
| climate resilience | 2.23 |
| climate services | 2.24 |
| cold | 5.06 |
| combined assembly | 3.31 |
| commmon bean (Phaseolues vulgaris L.) | 1.51 |
| common bean | 1.21 |
| comparative transcriptomics | 1.50 |
| conservation | 6.33 |
| cosmetics | 1.70 |
| cotton | 2.51 |
| cover crop | 2.32 |
| cowpea | 2.23 |
| CPVO | 2.08 |
| CRE | 6.23 |
| CRE-LOX system | 3.18 |
| CRISPR | 7.02, 7.09 |
| CRISPR-Cas9 | 1.61, 7.10 |
| CRISPR-dCas9 | 3.10 |
| CRISPR/Cas | 5.02 |
| CRISPR/Cas9 | 2.22, 3.03, 6.10, 6.25, 6.28, 7.16, 7.17, 7.20, 7.21, 7.22, 7.23, 7.24, 7.25 |
| crocins | 7.15 |
| crop genetics | 2.24 |
| crop yield | 2.21 |
| crossing over | 3.15 |
| Crossing over | 1.04 |
| cryptochromes | 4.03 |
| Cucumis melo L. | 3.27 |
| culm morphology | 2.20 |
| cultivar evaluation | 2.06 |
| cutin | 6.15 |
| Cynara cardunculus L. var. scolymus | 2.38 |
| D | |
| D27 | 2.45 |
| D27-like genes | 2.45 |
| DAP-seq | 1.11, 1.15, 6.27 |
| DAPC | 1.17 |
| DAPseq | 6.23 |
| ddRAD | 1.20 |
| ddRAD seq | 1.27 |
| ddRAD-seq | 1.19 |
| ddRADseq | 1.25 |
| defatted seed meals | 2.11 |
| defoliation | 6.04 |
| Denaturing gradient gel electrophoresis | 3.27 |
| differential allelic expression | 6.21 |
| digital canopy model | 3.06 |
| digitalization | 3.17 |
| Disease Evaluation | 1.42 |
| disease resistance | 1.45 |
| Distinctiness-Uniformity-Stability (DUS) | 2.04 |
| divergent loci | 1.20 |
| DMR6 | 7.23 |
| DNA fingerprinting | 6.34 |
| DNA methylation | 5.03, 5.05, 5.07 |
| DNA-free genome editing | 7.27, 7.28 |
| DND1 gene | 3.03 |
| domestication | 2.51 |
| dormancy | 6.18 |
| dosage | 7.12 |
| doubled haploids | 3.07 |
| downy mildew | 7.07 |
| DOWNY MILDEW RESISTANCE 6 | 7.05 |
| drought | 1.30, 2.13, 2.37, 2.40, 3.23, 4.13, 4.20, 5.08, 5.09, 7.08 |
| drought stress | 1.03, 1.47, 2.17, 2.30, 2.43, 2.45, 2.47, 4.16, 5.10, 7.05 |
| drought tolerance | 2.05, 2.49 |
| duckweed | 3.26 |
| durum wheat | 1.02, 1.08, 1.17, 1.29, 1.47, 1.54, 1.58, 2.14, 2.15, 2.16, 2.17, 3.17, 3.18, 3.20, 7.11 |
| durum wheat breeding line | 1.55 |
| durum wheat landraces | 1.18 |
| E | |
| ecophysiological measurements | 7.05 |
| ecotypes | 1.24 |
| editing | 3.08 |
| eggplant | 1.61, 7.24 |
| electromagnetic waves | 5.05 |
| elicitation | 1.63, 1.65 |
| embriogenic calli | 7.26 |
| embryogenic calli | 6.24, 7.29 |
| enviroment adaptation | 2.10 |
| enzymatic-browning | 1.72 |
| EPFL9 | 6.25 |
| epicuticular waxes | 2.17 |
| epigenetic | 5.06 |
| epigenetic memory | 5.10 |
| epigenetics | 5.05 |
| epigenome | 5.02, 5.04 |
| eQTL | 1.13 |
| essential oils | 1.37 |
| EST-SSR | 1.25 |
| ethylene | 6.16 |
| ethylene responsive factors | 7.20 |
| evolution | 3.12 |
| F | |
| Fagus sylvatica | 6.03 |
| Fagus sylvatica L. | 6.14 |
| fertilization strategies | 2.12 |
| fig tree | 6.21 |
| fingerprinting | 1.22 |
| firmness | 7.18 |
| fitness costs | 3.03 |
| flooding | 2.40 |
| florigens | 7.09 |
| flower | 6.27 |
| flower development | 3.01 |
| flowering | 1.10, 1.35, 7.10 |
| flowering time | 1.33, 3.16 |
| food security | 4.01 |
| food traceability | 3.13 |
| forage quality | 2.06 |
| forest genetic resources | 6.13 |
| forest trees | 6.01 |
| forward genetic | 2.02 |
| forward reverse genetic approaches | 3.25 |
| free asparagine | 1.08 |
| fruit and plant morphological traits | 6.05 |
| fruit antioxidants | 7.20 |
| fruit morphology | 3.13 |
| fruit nutritional analyses | 6.05 |
| fruit quality | 5.04, 6.06 |
| fruit softening | 7.18 |
| fruit traits and diseases | 7.31 |
| FTIR | 2.52 |
| functional food | 1.62 |
| functional genomics | 1.32, 1.50, 3.20 |
| Furovirus | 2.15 |
| Fusarium | 1.44 |
| Fusarium foot rot | 2.14 |
| Fusarium verticilliodes | 2.36 |
| G | |
| GA signalling | 7.10 |
| gas exchange | 7.08 |
| Gbs | 1.53 |
| GBS | 1.20 |
| Gene Coexpression Networks | 3.16 |
| gene duplication | 7.12 |
| gene editing | 2.43, 7.07 |
| gene expression | 1.34, 1.64, 1.72, 2.26, 3.22 |
| gene network | 2.44 |
| gene regulation | 1.15, 3.10 |
| gene-expression-profile | 1.48 |
| genetic analyses | 2.08 |
| genetic and phenotypic characterizations | 6.17 |
| genetic characterization | 2.35 |
| genetic diversity | 1.18, 2.10, 2.38, 3.16, 6.05, 6.13, 6.22 |
| genetic evaluation | 6.33 |
| genetic fingerprinting | 1.27 |
| genetic maps | 6.16 |
| genetic markers | 1.35, 6.22 |
| genetic offset | 6.01 |
| genetic resources | 1.25, 1.43, 1.57, 2.04, 2.37 |
| genetic transformatio | 3.26 |
| genetic variability | 1.24, 1.53, 2.34, 3.09, 6.20 |
| genome assembly | 1.02 |
| genome editing | 1.49, 2.17, 7.02, 7.04, 7.11, 7.17, 7.18, 7.20, 7.21, 7.22, 7.23, 7.24, 7.25, 7.26, 7.29 |
| genome evolution | 6.07 |
| Genome Wide Association Studies | 6.09 |
| Genome Wide Association Studies (GWAS) | 1.51 |
| Genome Wide Association Study | 1.03 |
| genome-wide | 1.16 |
| Genome-Wide Association Studies | 4.02 |
| Genome-Wide Association Study | 1.08, 4.12 |
| genomic diversity | 1.05 |
| genomic library preparation | 1.12 |
| genomic prediction | 4.02 |
| genomic selection | 3.11 |
| genomics | 1.07, 2.23, 3.05, 6.01, 6.02 |
| genotype diversity | 1.67 |
| genotype x environment | 2.28 |
| genotypes | 2.09 |
| genotyping | 1.26, 2.48 |
| genotyping arrays | 3.05 |
| Genotyping by Sequencing | 3.28 |
| Genotyping-by-Sequencing | 3.11 |
| Genotyping-by-sequencing (GBS) | 1.23 |
| germplasm bank | 2.35 |
| germplasm resources | 4.14 |
| Global genomic prediction | 6.09 |
| Glutamate 1-semialdehyde aminotransferase | 7.13 |
| Glutathione S-transferases | 2.47 |
| glycaemic index | 1.55 |
| glycaemic load | 1.55 |
| Goldenbraid | 7.16 |
| Gossypium | 2.51 |
| GPAT6 | 6.15 |
| grain colors | 1.59 |
| Grain number increase | 1.39 |
| Grain protein content | 1.58 |
| grain quality | 1.56, 1.57 |
| grain yield | 1.32, 3.19 |
| Grain yield potential | 1.39 |
| grapevine | 1.11, 1.15, 2.25, 2.26, 3.10, 4.21, 5.03, 6.24, 6.25, 6.26, 7.07, 7.08 |
| grapevine drought stress | 2.29 |
| grapevine rootstocks | 2.29 |
| gravitropism | 4.19 |
| GRF gene family | 3.20 |
| GST | 2.49 |
| Guignardia bidwellii | 3.02 |
| GWAS | 1.05, 1.06, 1.40, 1.42, 1.43, 2.04, 2.10, 2.15, 2.18, 2.20, 3.05, 4.18, 6.12, 6.22 |
| GxE interaction | 6.11 |
| H | |
| haplotype | 4.14 |
| haplotype blocks | 1.28 |
| haplotypes | 3.05 |
| hazelnut (Corylus avellana L.) | 6.22 |
| health-promoting effects | 1.59 |
| healthy diet | 1.69 |
| heat and water-deficit | 2.16 |
| Heat Stress | 2.37 |
| Heat Stress (HS) | 4.04 |
| Helianthus annuus L. | 5.09 |
| hemicellulose | 1.16 |
| hemp | 1.63, 1.68 |
| hereditability | 5.04 |
| heritability | 1.40 |
| heterozygosity | 6.21 |
| Hierarchical intra-family network | 1.11 |
| high intensity light | 7.19 |
| high pigment tomato mutant | 7.19 |
| high resolution melting | 1.26 |
| high temperature | 2.50 |
| high temperatures | 2.44 |
| high throughput phenotyping | 3.04 |
| high throughput sequencing | 1.12 |
| high throughput SNP genotyping | 3.17 |
| high-throughput genotyping | 1.05 |
| high-throughput phenotyping | 4.09 |
| histone modifications | 5.09, 5.10, 6.08 |
| histone variant | 5.02 |
| holobiont | 4.08 |
| hologenome | 4.24 |
| homologous recombination | 7.13 |
| Hordeum vulgare | 1.42, 4.17 |
| hormones | 6.08 |
| hormones signalling | 2.26 |
| HPLC-MS/MS | 1.60 |
| HTP | 3.06 |
| hus1 | 2.19 |
| HvPDIL5-1 gene | 7.11 |
| hydroponic cultivation | 1.51 |
| I | |
| improving photosynthesis | 2.19 |
| in vitro culture | 1.66 |
| in vitro digestibility | 1.67 |
| in vitro propagation | 1.22 |
| InDel | 2.44 |
| inflorescence architecture | 1.32 |
| Infra-Red Gas Analyser | 2.29 |
| INNOVAR | 2.04 |
| integrated omics | 4.08 |
| Intelligent Collection | 1.21 |
| interaction | 6.29 |
| internode elongation | 1.10 |
| interspecific hybrids | 3.31 |
| Introgression Lines | 1.07 |
| inversion | 3.15 |
| Ion Torrent | 6.14 |
| Iron oxide magnetic nanoparticles | 3.30 |
| isolated microspore culture | 3.07 |
| ITS | 3.27 |
| J | |
| juvenile stage | 1.68 |
| K | |
| K-seq protocol | 1.22 |
| KASP | 2.18, 6.34 |
| Keracyanin | 1.60 |
| kernel development | 3.01 |
| kernel taste | 6.19 |
| kiwifruit | 6.10 |
| L | |
| laccase | 2.52 |
| landrace | 1.19, 2.33 |
| landraces | 1.25, 2.34 |
| landscape genomics | 2.33, 6.13 |
| late/post-ripening | 6.26 |
| legumes | 2.09 |
| lentil | 2.09 |
| lettuce | 1.05, 4.10, 7.25 |
| light | 4.03 |
| linkage map | 2.25 |
| local biodiversity | 6.17 |
| local varieties | 1.23, 1.52 |
| lodging | 2.20 |
| long reads | 5.03 |
| long-read sequencing | 1.03 |
| low oxygen | 1.73 |
| Lycopersicon esculentum | 1.49 |
| lysin motif receptor-like kinase | 6.29 |
| M | |
| MAGIC | 3.24 |
| MAGIC population | 1.04, 1.14, 3.04 |
| maize | 1.33, 1.56, 2.33, 2.37 |
| maize germplasm | 2.36, 4.20 |
| maize landraces | 1.53 |
| Maize traditional varieties | 2.35 |
| male fertility | 7.06 |
| male sterility | 3.29, 7.17 |
| Malus | 7.30 |
| Malus domestica | 1.72 |
| Manihot esculenta | 1.48 |
| mapping | 1.09 |
| Marker-Assisted Breeding | 3.02 |
| Marker-Assisted Selection | 1.39, 2.22, 3.14, 6.19, 6.30 |
| marker-free | 7.31 |
| MAS | 7.29 |
| MATE | 1.60 |
| MCSeEd | 5.06 |
| MDIS1 INTERACTING RECEPTOR LIKE KINASE 2 | 1.36 |
| MdPPO | 1.72 |
| Medicago sativa | 2.07, 3.11, 7.13 |
| Medicago truncatula | 4.03 |
| Mediterranean Basin | 1.69, 6.33 |
| medium | 7.14 |
| meristem manipulation | 3.26 |
| metabarcoding | 4.23 |
| metabolic engineering | 1.65 |
| metabolomics | 1.08, 1.69 |
| metagenomics | 4.21 |
| methyl-jasmonate | 1.64 |
| methylome | 6.08 |
| microbial breeding | 4.24 |
| microbiome | 2.36 |
| microbiomes | 4.09 |
| microplastics | 2.52 |
| micropropagation | 7.14 |
| microsatellite markers | 6.20 |
| microsatellite transferability | 6.17 |
| microvine | 7.26 |
| mineral nutrition | 2.12 |
| miPEPs | 5.08 |
| miRNAs | 2.28 |
| MitoTALECD | 7.06 |
| MitoTALEN | 7.06 |
| molecular breeding | 3.28, 6.06 |
| molecular markers | 2.32, 2.38 |
| mono- and di-terpene synthase genes | 6.04 |
| mono- and di-terpenoids | 6.04 |
| morphological characterization | 2.35 |
| morphological descriptors | 1.17, 1.21 |
| morphological traits | 2.38 |
| mountain environment | 2.08 |
| mozambique | 2.24 |
| multi-locus GWAS | 1.28 |
| multiomics | 4.22 |
| multiple stress | 1.49 |
| multivariate data analysis | 1.52 |
| mutants | 4.17 |
| MYB108A | 6.27 |
| MYB90 | 2.41 |
| mycorrhizal root colonization | 4.10 |
| N | |
| NAC | 1.15 |
| NAC transcription factors | 1.11 |
| NAC61 | 6.26 |
| nanopriming | 3.30 |
| Near Infrared Spectroscopy | 2.06 |
| New breeding technology | 7.30 |
| New Plant Breeding Techniques (NPBTs) | 7.15 |
| NGS | 6.27 |
| NGS (next generation sequencing) | 1.22 |
| NGS analysis | 6.07 |
| Nicotiana benthamiana | 7.15 |
| Nicotiana tabacum | 2.47 |
| Nitrate Uptake | 3.22 |
| nitrogen absorption | 7.04 |
| Nitrogen Use Efficiency (NUE) | 3.22 |
| NMR | 1.52 |
| Non Photochemical Quencing (NPQ) | 2.21 |
| novel food | 1.71 |
| NPBTs | 7.02 |
| nutraceuticals | 1.52 |
| nutrient accumulation | 2.12 |
| nutritional values | 2.38 |
| O | |
| oilseed crop | 2.32 |
| Olea europaea | 1.64 |
| Olea evolution | 6.07 |
| oleaster | 2.31, 6.33 |
| olive | 6.32 |
| omic analysis | 1.35 |
| omics | 1.37 |
| omics approach | 1.46 |
| omics data integration | 1.50 |
| orange carrot | 1.01 |
| ornamental plants | 3.28 |
| Orobanchaceae | 4.07 |
| Oryza sativa | 1.03, 7.04 |
| Oxford Nanopore Techonology sequencing | 1.14 |
| P | |
| P-spline | 3.06 |
| pale mutants | 2.19 |
| pale-green | 2.02 |
| PAMPs | 6.29 |
| Pan-genome | 1.14 |
| pangenome | 1.02 |
| panicle development | 1.10 |
| paralog compensation | 7.12 |
| parasitic weeds | 2.45 |
| participatory methods | 2.24 |
| pasta supply chain | 3.17 |
| Pea | 1.09 |
| peach | 6.18 |
| pear | 6.16 |
| Pectate Lyase | 6.28 |
| PEG | 2.30 |
| pepper | 3.24 |
| PGPM | 4.10, 4.16 |
| PGPR | 4.06 |
| PGRFA | 2.08 |
| phased genome | 6.21 |
| phasiRNAs | 2.28 |
| Phelipanche ramosa | 4.07 |
| phenological traits | 2.09 |
| phenology | 6.12 |
| phenomics | 2.03, 3.05 |
| phenotype | 6.22 |
| phenotypic characterization | 7.28 |
| phenotypic plasticity | 2.51 |
| phenotypic prediction | 6.01 |
| phenotyping | 1.26, 2.25, 2.50, 3.23 |
| photoperiod | 2.01, 6.08 |
| photoprotection | 2.21 |
| photosynthesis | 1.41, 2.02, 2.21, 3.04, 7.15 |
| Photosynthesis-related traits | 1.14 |
| phycoremediation | 2.52 |
| Phyllosticta ampelicida | 3.02 |
| phyllotaxis | 3.08 |
| phylogenesis and evolution | 3.22 |
| Phylogenetic analysis | 6.29 |
| phylogeny | 3.29 |
| phytic acid | 2.34 |
| phytohormone | 4.04 |
| phytohormones | 1.30 |
| Phytophthora capsici | 3.14 |
| pigmented maize | 1.66 |
| pigmented mandarin-like hybrids | 3.31 |
| Pinus nigra subsp. laricio (Poiret) Maire | 6.04 |
| plant | 2.09 |
| plant breeding | 1.41 |
| plant cell cultures | 1.70 |
| plant development | 1.30 |
| plant genetic resources | 1.40, 6.34 |
| plant genomics | 6.14 |
| plant genotyping | 1.12 |
| plant growth regulators | 7.14 |
| plant growth-promoting rhizobacteria | 2.42 |
| plant metabolism | 3.21 |
| plant metabolites | 4.11 |
| plant phenotyping | 2.03, 2.29 |
| plant protection | 2.39 |
| plant regeneration | 7.27 |
| plant variety protection | 1.28 |
| plant-microbe interactions | 2.42 |
| plant-microbiome interaction | 4.22 |
| ploidy analysis | 3.28 |
| pollen development | 2.41 |
| pollen‒stigma recognition | 1.36 |
| polygalacturonase 2a (PG2a) | 7.16 |
| polymorphism | 1.19 |
| polyphenols | 1.46, 1.65, 1.72 |
| polyploid | 1.24 |
| polyploidy | 2.07, 2.51 |
| population analysis | 2.33 |
| population genetics | 3.12, 6.01 |
| population genomics | 1.01 |
| population studies | 1.12, 1.13 |
| postharvest | 1.73, 6.06 |
| postzygotic barrier | 1.31 |
| potato | 1.46 |
| potato chondriome | 7.06 |
| powdery mildew | 3.03 |
| powdery mildew candidate genes | 1.45 |
| PREMATURE INTERNODE ELONGATION 1 (PINE1) | 7.03 |
| Programmed Cell Death (PCD) | 4.04 |
| protein content | 1.67 |
| protoplast | 7.07, 7.27, 7.28 |
| protoplasts | 3.10, 7.26 |
| Prunus | 6.02 |
| Prunus persica | 6.09 |
| Prunus species | 6.17 |
| Pseudomonas syringae pv. actinidiae | 6.10 |
| purple durum wheat | 1.59 |
| PVDC | 2.52 |
| Q | |
| QTL | 1.33, 1.40, 1.44, 6.16 |
| QTL mapping | 1.58, 3.04, 3.19 |
| QTLs | 2.25 |
| quality | 1.29 |
| Quantitative Trait Nucleotide | 1.28 |
| R | |
| rDNA | 3.27 |
| ready-to-eat | 3.31 |
| recombination | 1.04 |
| redundancy | 7.12 |
| regeneration | 7.14, 7.31 |
| regulation of gene expression | 1.30 |
| remote sensing | 1.26 |
| resequencing | 1.06, 3.24 |
| resiliance | 6.32 |
| resilience | 2.33, 2.37 |
| resilience traits | 4.14 |
| resistance | 1.09, 1.44, 2.14, 2.15, 6.30 |
| resistance genes | 3.12 |
| resistant source | 2.11 |
| resistant starch | 1.55 |
| responsive backup circuits | 7.12 |
| RGA | 4.19 |
| rhizosphere microbiome | 4.22 |
| rice | 1.10, 1.32, 1.56, 2.23, 7.10 |
| rice blast | 2.22 |
| rice flowering | 7.03 |
| rice genetics | 7.09 |
| ripening | 2.26 |
| RNA sequencing | 1.13 |
| RNA-seq | 1.47, 2.30, 3.30, 5.07, 6.31 |
| RNAseq | 1.61, 6.11 |
| RNP complex | 7.17 |
| Rocket salad | 1.27 |
| Rogosija | 1.18 |
| root | 4.04, 4.12, 4.19, 7.04 |
| root anatomy | 4.01 |
| root and epicotyl development | 4.11 |
| root architecture | 4.01, 4.01, 4.13, 4.19 |
| root system architecture | 4.02, 4.14, 4.15 |
| root system architecture RSA | 4.20 |
| root system traits | 4.18 |
| root transcriptomic | 4.22 |
| roots | 1.66 |
| RT-qPCR | 1.68 |
| rucola | 3.25 |
| rust diseases | 2.11 |
| S | |
| Saccharum spontaneum | 1.24 |
| saffron hydroponics | 1.69 |
| salinity | 2.13, 2.40, 4.13 |
| salinity stress | 2.07 |
| salt stress | 1.07, 2.47, 4.06 |
| salt stress mitigation | 2.46 |
| salt stress tolerance | 1.51 |
| salt tolerance | 2.06 |
| San Marzano landrace | 7.19 |
| SBCMV | 2.15 |
| SCOT markers | 1.27 |
| seasonal-transition | 1.48 |
| secondary metabolites | 1.64 |
| seed development | 1.31 |
| seed-nanoparticle interactions | 3.30 |
| seedlessness | 6.30 |
| seedling | 2.50 |
| selection | 1.01 |
| selection criteria | 4.20 |
| selective sweeps | 1.06 |
| self-incompatibility | 1.36, 3.29 |
| sexual polyploidization | 2.07 |
| shelf-life | 7.18 |
| shoort and long read sequencing | 1.02 |
| Sicilian landraces | 1.29 |
| Single Nucleotide Polymorphism (SNP) | 3.13 |
| Single Nucleotide Polymorphism (SNPs) | 6.03 |
| Single Nucleotide Polymorphisms | 6.12 |
| Single Nucleotide Polymorphisms (SNPs) | 6.14 |
| SiO2 nanoparticles | 2.46 |
| site-directed mutagenesis | 7.13 |
| Small RNA-seq | 2.28 |
| smallholders | 2.24 |
| SNP | 1.25, 1.26, 1.53, 2.18, 2.44, 6.34 |
| SNP array | 1.18 |
| SNP genotyping | 1.29, 3.02 |
| SNP markers | 1.20 |
| SNPs | 1.23, 3.27 |
| soil compaction | 4.18 |
| soil health | 4.15 |
| Soil-borne pathogens | 3.14 |
| Soil-borne viruses | 7.11 |
| Solanaceae | 7.17, 7.21 |
| Solanum lycopersicum | 1.04, 2.03, 2.05, 2.42, 2.47, 2.49, 3.16, 4.09, 5.10, 7.20 |
| Solanum lycopersicum L. | 3.13, 7.05 |
| Solanum melongena | 1.06, 7.23 |
| Solanum pennellii | 4.07 |
| Solanum tuberosum | 2.39 |
| somaclone regeneration | 3.09 |
| somatic embryogenesis | 3.09, 7.28 |
| source-sink | 3.01 |
| spike development | 3.19 |
| Spike fertility | 1.38 |
| spike-related traits | 3.19 |
| sRNAs | 5.08 |
| SSR | 2.31 |
| SSR genotyping | 3.28 |
| SSR markers | 1.24 |
| starch mutants | 3.21 |
| stem elongation | 7.03, 7.10 |
| stem gibberellin sensitivity | 7.03 |
| stem rust | 1.43 |
| stigma position | 2.48 |
| stilbenoid metabolism | 6.26 |
| Stomata formation | 6.25 |
| stomatal closure | 2.05 |
| stone fruit tree | 6.02 |
| straw biomass | 2.19 |
| straw quality | 1.41 |
| stress combination | 2.16 |
| stress memory | 5.09 |
| stress resilience | 1.50, 5.02 |
| stress resistance | 2.36 |
| stress tolerance | 2.16, 7.23 |
| stress-response | 1.48 |
| Strigolactones | 2.43, 2.45, 4.07, 4.17 |
| Structural Variants | 1.14 |
| structural variation | 1.03 |
| style exertion | 2.48 |
| Sun Black genotype | 1.62 |
| superficial scald | 1.73, 6.16 |
| susceptibility genes | 7.05 |
| sustainability | 4.11, 4.18, 7.04 |
| sustainable agriculture | 2.34, 4.12, 4.15, 4.16 |
| sustainable biotechnology | 3.09 |
| Sustainable Forest Management | 6.13 |
| sweet chestnut | 6.05 |
| SWEET genes | 3.01 |
| system genetics | 6.06 |
| T | |
| T. molitor | 1.71 |
| T2T assembly | 5.03 |
| Tarocco orange | 3.31 |
| TEA | 2.22, 7.14 |
| temperature | 2.01 |
| terpenoids | 1.65 |
| Tetraploid Wheat collection | 1.54 |
| TFBS | 6.23 |
| thaumatin-like proteins (TLPs) | 7.16 |
| Thaumetopoea pityocampa (Denis & Schiffermüller 1775) | 6.04 |
| thermotolerance | 2.25 |
| tiller angle | 1.10 |
| tilling | 4.19 |
| TILLING | 2.20 |
| titratable acidity | 6.09 |
| tomato | 1.07, 2.43, 2.46, 2.48, 2.50, 3.12, 3.15, 4.06, 4.08, 5.04, 7.02, 7.22 |
| tomato allergens | 7.16 |
| tomato landraces | 7.18 |
| tomato peels | 1.62 |
| tomato resistance | 3.03 |
| tomato waste | 1.62 |
| tomato wild relatives | 2.49 |
| Ton1 | 3.18 |
| traceability | 1.29, 3.17 |
| trade-off | 4.24 |
| traditional variety | 7.19 |
| transcription factors | 1.59, 1.60, 2.26, 3.16 |
| transcriptome | 1.02, 1.49, 2.30, 6.08, 6.11, 6.31 |
| transcriptome analysis | 1.63 |
| transcriptomics | 1.07, 1.73, 2.46, 4.21, 6.18 |
| translational science | 1.41 |
| transpiration efficiency | 4.01 |
| transposable elements | 1.33 |
| triploid block | 1.31 |
| Triticum aestivum | 1.40, 1.42 |
| Triticum dicoccum | 1.38 |
| Triticum durum | 1.42 |
| Triticum turgidum | 1.38, 4.14 |
| Triticum turgidum ssp. dicoccoides | 1.45 |
| Triticum turgidum subsp. durum | 3.22 |
| Tropomyosin | 1.71 |
| TRV | 7.24 |
| U | |
| UAV | 3.06 |
| UPOV protocol | 1.28 |
| UPOV traits | 1.17 |
| useful alleles | 1.57 |
| UV stress | 2.40 |
| V | |
| Venturia inaequalis | 6.15 |
| VIGE | 7.24 |
| Vitamin D | 7.21 |
| Vitis spp | 3.02 |
| Vitis vinifera | 2.27, 2.28, 5.07, 6.12, 6.28, 6.29, 7.28 |
| Vitis vinifera clones | 1.20 |
| Vitis vinifera L. | 6.11, 7.27 |
| VviAGL11 | 7.26 |
| W | |
| water deprivation | 1.46 |
| water scarcity | 4.09 |
| water stress | 2.27 |
| water use efficiency | 4.11 |
| WCGNA | 6.11 |
| wheat | 1.43, 1.44, 2.01, 2.13, 3.06, 4.12, 4.15 |
| wheat improvement | 1.39 |
| whole grain content | 1.08 |
| wild emmer | 1.43 |
| wild emmer wheat | 2.10 |
| wild introgressions | 2.16 |
| wild relatives | 3.12 |
| wild species | 2.44 |
| Wolffia globosa | 3.26 |
| X | |
| Xylella fastidiosa | 6.31 |
| xyloglucan endotransglucosylase/hydrolase | 1.16 |
| Y | |
| YFP | 6.15 |
| yield | 3.08, 3.18, 3.20 |
| yield-related traits | 1.58 |
| Z | |
| Zea mays L. | 1.19 |
| zeaxanthin | 7.15 |
| 5 | |
| 5-azacytidine | 5.06 |
