| A | |
| ABA | 3.04 |
| ABA signaling | 5.43 |
| abiotic stress | 5.25, 5.38, 5.47, 5.59, 5.60, 5.65 |
| acetolactate synthase | 5.36 |
| acrylamide | 1.19 |
| adaptation | 5.55 |
| adaptation genomics | 5.22 |
| adaption | 6.09 |
| agro-diversity | 5.18 |
| agrobiodiversity | 6.18 |
| agronomic traits | 5.33, 7.08 |
| Albedo | 5.16 |
| alfalfa | 5.45 |
| allele identification | 5.60 |
| allele mining | 5.39, 5.60 |
| Amaranthus hybridus | 5.36 |
| ancient subspecies | 5.07 |
| anthocyanin | 6.34 |
| anthocyanin maintenance | 1.26 |
| anthocyanin pathway | 1.13 |
| anticancer activity | 1.24 |
| antinutritional molecules | 7.27 |
| antioxidant capacity | 7.33 |
| antioxidant effects | 1.13 |
| antioxidants | 1.03, 5.53, 7.19 |
| apocarotenoids | 1.02 |
| Apocynaceae | 6.25 |
| apple | 7.10 |
| apple pathogen | 7.12 |
| apple storage | 7.12 |
| apricot | 5.54 |
| Apulian grapevines | 1.13 |
| Arabidopsis | 6.31 |
| Arabidopsis thaliana | 5.13, 6.15 |
| arbuscular mycorrhizal fungi | 2.06 |
| aroma | 5.63 |
| artichoke | 7.23 |
| Arundo donax L. | 5.08 |
| ascorbic acid | 1.14, 1.18 |
| Aspergillus flavus | 5.04 |
| Asteraceae | 4.07, 5.27 |
| autochthonous wheat | 7.07 |
| auxin | 3.03, 3.08 |
| Avena sativa | 1.12 |
| avenanthramides | 1.12 |
| B | |
| background selection | 7.11 |
| barley | 4.03, 5.02, 5.03, 5.16, 5.31, 5.32, 5.50, 6.17 |
| bean | 1.17 |
| beta-carotene | 1.20 |
| beta-glucans | 1.12 |
| big genomes | 6.24 |
| bigdata | 7.13 |
| bio-fortification | 1.20 |
| bioactive phytochemicals | 7.20 |
| biochar | 5.53, 5.61 |
| biochemical markers | 5.20 |
| biodiversity | 5.17, 5.56, 6.32, 7.18 |
| biofertilisier | 2.03 |
| biofertilizers | 5.61 |
| biofortification | 1.27 |
| bioinformatic tools | 6.02 |
| bioinformatics | 6.16, 7.13 |
| bioprospecting | 1.22 |
| bioristor | 5.19 |
| biosensors | 5.19 |
| biostimulants | 5.10 |
| biotic stress | 5.09, 5.30, 5.65, 6.28 |
| blast resistance | 7.11 |
| Botrytis cinerea | 5.14, 5.41 |
| bread wheat | 5.07, 5.21 |
| breeding | 1.07, 5.65, 6.23 |
| broccoli-raab | 1.09 |
| bromatological analyses | 1.16 |
| broomrapes | 2.04, 5.09 |
| BSAseq | 4.04 |
| buds | 6.11 |
| buttercup | 6.23 |
| C | |
| C/N/S partitioning | 1.05 |
| cadmium | 5.08 |
| cadmium toxicity | 7.03 |
| Camelina sativa | 1.16 |
| candidate genes | 4.08 |
| cannabinoids | 7.33 |
| Cannabis sativa | 2.07, 7.17 |
| caprifig | 6.11 |
| Capsicum annuum | 7.35 |
| CBF genes | 6.17 |
| cervical cancer | 1.15 |
| chestnut | 7.18 |
| chickpea | 5.11 |
| Chlamydomonas reinhardtii | 7.29 |
| Chloride Channel (CLC) family members | 5.35 |
| chlorophyll content | 5.16 |
| chloroplast genome | 5.12 |
| chloroplasts | 6.15 |
| chondriome | 7.02 |
| chromosome engineering | 5.25 |
| chromosome number | 7.22 |
| Citrus sinensis | 6.34 |
| climacteric ripening | 3.03 |
| climate change | 4.14, 5.16, 5.26, 5.52 |
| climate-ready crops | 5.22 |
| clonal selection | 6.32 |
| cold stress | 6.34 |
| cold stress resistance | 1.10 |
| common bean | 6.07 |
| complex genomes | 4.05 |
| computational reproducibility | 7.13 |
| conservation varieties | 7.07 |
| conservative agriculture | 5.18 |
| conventional agriculture | 5.11 |
| copy number variation | 6.15 |
| cosmetic | 1.22 |
| CREs | 6.13 |
| CRISPR/Cas9 | 1.11, 1.14, 1.21, 2.04, 3.08, 3.09, 3.10, 4.05, 6.12, 7.35 |
| CRISPR/Cas9-mediated mutagenesis | 5.05 |
| crop improvement | 5.07 |
| crop protection | 3.06 |
| CTV | 6.06 |
| cuticle | 5.44 |
| CWR | 7.28 |
| cytotoxic activity | 1.15 |
| D | |
| danger signaling | 3.05 |
| database | 4.07 |
| de novo genome | 5.06 |
| DEGs | 4.04 |
| development | 7.34 |
| diagnostics | 6.22 |
| differentially expressed genes | 5.15 |
| disease resistance | 5.54, 7.14 |
| disease resistant genes | 5.37 |
| DNA and Protein Delivery | 7.26 |
| DNA content | 7.22 |
| DNA methylation | 6.19, 6.31, 6.34 |
| DNA traceability | 6.14 |
| domestication | 6.07, 7.31 |
| drought | 5.20, 5.40, 5.58, 5.59 |
| drought resistance | 5.44 |
| drought stress | 1.04, 5.19, 5.21 |
| drought tolerance | 5.60 |
| durum wheat | 1.19, 1.20, 1.27, 4.10, 4.16, 5.18, 5.37, 5.39, 5.49, 5.57, 5.58, 7.08 |
| E | |
| early disease detection | 5.41 |
| eco-friendly tools | 3.06, 5.10 |
| ecosystem services | 2.07 |
| eggplant | 3.08 |
| elicitation | 1.26 |
| elicitor | 7.33 |
| elicitors | 7.30 |
| embryo rescue | 7.09 |
| endive | 5.12 |
| environment | 5.27 |
| environmental sustainability | 1.04 |
| epigenetic | 6.28 |
| epigenetic variation | 6.01 |
| epigenomics | 6.31 |
| Eremocitrus glauca | 5.06 |
| Ethiopia | 5.22, 6.21 |
| ethylene | 3.03, 7.16 |
| Evolutionary Population (EPs) | 5.21 |
| ex situ conservation | 7.15 |
| exaptation | 6.02 |
| exome capture | 4.15 |
| expression analysis | 1.03 |
| extracellular vesicles | 1.24 |
| extraradical mycelium | 2.06 |
| F | |
| farmers | 5.55 |
| fatty acid profile | 7.27 |
| fig | 6.11 |
| fig genome | 4.09 |
| fig tree | 4.09 |
| fine mapping | 4.12 |
| Flavescence dorée | 7.06 |
| flavones | 2.01 |
| flavonoids | 1.26, 3.07 |
| flax | 7.19, 7.30 |
| floret | 6.26 |
| florigens | 6.05 |
| flow cytometry | 6.25, 7.22 |
| flower and vegetative buds | 6.10 |
| flower color | 6.23 |
| flowering time | 4.13, 5.27, 5.47 |
| food quality | 5.53 |
| FR-H1 locus | 6.17 |
| FR-H2 locus | 6.17 |
| free asparagine | 1.19 |
| frost resistance | 6.17 |
| fruit quality | 7.10, 7.12 |
| fruit ripening | 7.16 |
| fumonisins | 6.12 |
| Fusarium | 5.42 |
| Fusarium Ear Rot resistance | 5.33 |
| Fusarium seedling rot | 5.15 |
| Fusarium verticillioides | 5.04, 6.12 |
| G | |
| GABA | 1.09 |
| gamma-zeins | 1.25 |
| GAP analysis | 7.28 |
| GBS | 1.16, 4.06 |
| GC-MS | 5.63 |
| Gene Coexpression Networks | 5.46 |
| gene editing | 5.43, 6.01, 7.23, 7.35 |
| gene expression | 5.20, 5.26, 5.35, 5.62, 6.33, 7.05, 7.12, 7.25 |
| gene flow | 4.06 |
| gene silencing | 3.10, 5.36 |
| genetic analyses | 1.17 |
| genetic characterization | 6.18 |
| genetic diversity | 4.02, 4.06, 4.16, 5.42, 5.46, 5.47, 6.11, 7.07 |
| genetic improvement | 5.47 |
| genetic map | 6.23 |
| genetic resources | 6.18, 7.18 |
| genetic structure | 7.32 |
| genetic variability | 4.09, 5.11 |
| genome assembly | 4.09, 6.25 |
| genome editing | 1.21, 3.08, 3.10, 5.27, 5.31, 5.46, 5.49, 5.50, 5.65, 6.07, 6.13, 7.02, 7.26 |
| genome evolution | 6.02 |
| genome sequencing | 4.04, 7.06 |
| genome-wide association analysis | 4.02 |
| genomic data | 4.07 |
| genomic prediction | 7.08 |
| genomic selection | 6.21 |
| genomics | 6.09 |
| genotype diversity | 7.27 |
| genotype selection | 5.19 |
| genotyping | 6.24, 6.32 |
| Genotyping by sequencing | 4.05, 6.24, 7.31 |
| germination | 5.03 |
| germplasm | 1.07, 5.23 |
| germplasm bank | 7.15 |
| germplasm collection | 6.29 |
| germplasm resources | 4.15 |
| GFP marker gene | 7.21 |
| Giant Reed | 7.22 |
| gibberellin | 3.02 |
| GL15 | 5.44 |
| Global durum genomic resource | 6.04 |
| gluten proteins | 7.07 |
| Goldenbraid | 1.11 |
| grafting | 6.19 |
| grain colors | 1.23 |
| grain yield potential | 6.30 |
| grapefruit | 1.03 |
| grapevine | 5.14, 5.52 |
| grapevine clones | 7.06 |
| GreeNC2 | 6.16 |
| GRF | 5.50 |
| GST | 5.59 |
| GWAS | 1.12, 1.19, 4.03, 5.18, 5.28, 5.29, 5.34, 5.52, 5.57, 5.58, 6.04, 6.09, 6.21, 6.30 |
| GxE interactions | 7.05 |
| H | |
| hairy roots | 1.18, 1.24 |
| haplotype | 4.11 |
| heading | 3.02 |
| health-promoting effects | 1.23 |
| healthy diet | 1.08 |
| heat stress | 5.39 |
| heavy metals | 5.08 |
| Helianthus annuus | 6.02 |
| hemp | 7.33 |
| heterosis | 5.33 |
| HIF-derived near-isogenic lines | 6.03 |
| High throughput phenotyping | 5.62 |
| histone modification | 6.33 |
| HLB | 5.06 |
| Hordeum vulgare | 5.64 |
| hormonal crosstalk | 3.03 |
| hormone signaling | 3.05 |
| horti-floriculture | 7.24 |
| horticultural species | 5.46 |
| horticultural traits | 5.29 |
| Hsp26 | 5.39 |
| HvPDIL5-1 gene | 5.49 |
| hyperaccumulators | 7.03 |
| hypoxia | 5.03 |
| I | |
| imputation | 4.11 |
| in vitro assay | 1.26 |
| in vitro culture | 7.09 |
| in vitro production | 7.20 |
| in vitro regeneration | 7.35 |
| InDels | 4.08 |
| induced resistance | 6.28 |
| inflorescence architecture and branching | 6.08 |
| inflorescences | 7.17 |
| integrated defence | 5.14 |
| international cooperation | 5.23 |
| interspecific population | 7.31 |
| Introgression Lines | 5.38 |
| Inula | 7.20 |
| isomerase | 3.09 |
| J | |
| juvenile and adult phase | 5.44 |
| K | |
| KASP markers | 6.03 |
| kernel chloroplast | 1.05 |
| L | |
| laccase | 5.31, 7.29 |
| landraces | 4.16, 5.22, 6.09, 7.32 |
| LC-MS | 5.63 |
| LC/MS QTOF | 3.07 |
| leaf and root transcriptome | 5.08 |
| leaf rust restistance | 4.12 |
| Lebanon | 7.28 |
| lenttil | 5.11 |
| lettuce | 1.14, 2.03 |
| lignans | 7.19, 7.30 |
| lipid metabolism | 1.10 |
| lipoxygenase | 5.04 |
| lncRNAs | 6.16 |
| Lombardy | 7.18 |
| long-term conservation | 7.28 |
| loss-of-function mutants | 1.18 |
| Lotus corniculatus | 3.07 |
| low phytic acid mutants | 1.04 |
| low-coverage sequencing | 4.11 |
| Lycopersicon esculentum | 5.65 |
| M | |
| MADS-box transcription factors | 6.08 |
| MAGIC maize population | 5.15 |
| MAGIC population | 6.20 |
| magnetic nanoparticles | 7.26 |
| maize | 1.04, 2.01, 5.04, 5.17, 5.42, 5.44, 5.45, 5.56, 6.09, 6.20, 7.15 |
| maize allergens | 1.25 |
| maize germplasm | 5.40 |
| maize landraces | 6.18 |
| male infertility | 6.31 |
| Malus domestica | 3.03, 7.04 |
| mandarin | 6.35 |
| MAP kinases | 3.05 |
| marker-assisted breeding | 7.14, 7.24 |
| marker-assisted pyramiding | 7.11 |
| MAS | 5.54 |
| MCSeEd | 6.19 |
| Medicago sativa | 7.25 |
| medicinal plants | 1.24 |
| meristem | 6.08 |
| metabolic engeneering | 1.10 |
| metabolic profiling | 5.28 |
| metabolomics | 6.11 |
| metagenomics | 2.07 |
| methy-sens comet assay | 7.03 |
| microbial biodiversity | 2.02 |
| microbiome | 2.05, 2.08, 5.56 |
| microelements | 1.27 |
| mining | 7.23 |
| MinION | 6.22 |
| miR396 | 5.50 |
| miRNA | 5.31 |
| mitochondria | 6.15, 7.02 |
| molecular assay | 5.14 |
| molecular diversity | 6.29 |
| molecular fingerprinting | 7.32 |
| molecular marker analysis | 5.24 |
| molecular markers | 6.29, 7.31 |
| morpho-biometric parameters | 5.38 |
| mountain environment | 1.17 |
| multi environmental trial | 5.17, 6.04 |
| multiparental maize population | 5.33 |
| multivariate analysis | 7.08 |
| mutants | 5.64 |
| MYB | 1.23 |
| mycorrhizae | 5.20 |
| N | |
| n-3 | 7.27 |
| N-acetyl-5-methoxytryptamine | 3.07 |
| NAM populations | 5.07 |
| nanomaterials | 6.15 |
| nanopore sequencing | 6.22 |
| natural rubber | 6.33 |
| new plant breeding techniques | 1.18 |
| NGS | 5.39, 6.07, 6.13, 6.35 |
| Nitrogen Use Efficiency (NUE) | 5.35 |
| non conventional cropping system | 2.07 |
| non-chemical weed control | 5.36 |
| nutraceutical compounds | 3.07 |
| nutritional values | 7.18 |
| O | |
| Olea europaea | 4.06, 5.24 |
| Olea europea L. | 1.15 |
| olive | 5.20, 5.24 |
| omic approach | 1.05 |
| omics | 1.09 |
| onion | 7.32 |
| open science | 7.13 |
| orange tomato | 5.55 |
| organic farming | 5.34 |
| organic phosphorus | 5.45 |
| ornamentals | 6.24 |
| OsMADS34 | 6.08 |
| osmotic adjustment | 5.58 |
| osmotin | 1.15 |
| Oxalobacteraceae | 2.01 |
| P | |
| P uptake | 2.06 |
| PacBio long read sequencing | 4.14 |
| pan genome | 4.14 |
| pangenome | 4.03 |
| paralogs | 7.34 |
| parthenocarpy | 3.08 |
| participatory plant breeding | 5.34 |
| particulate matter | 2.05 |
| peach | 5.54, 6.10 |
| pear | 7.16 |
| PEG-mediated transfection | 7.21 |
| peptide | 6.28 |
| perennial grains | 2.02 |
| pest agents | 3.06 |
| pest management | 5.48 |
| PGPM | 5.53 |
| PGPR | 5.13 |
| PGRFA | 1.17 |
| Phaseolus vulgaris | 1.08, 4.11 |
| phenolic compounds | 1.06 |
| phenotypic comparison | 2.04 |
| phenotypic plasticity | 7.05 |
| phenotyping | 7.16 |
| phenylpropanoids | 7.17, 7.34 |
| phosphate transporters | 2.06 |
| phosphorus | 1.04 |
| photosynthesis efficiency | 5.16 |
| phycoremediation | 7.29 |
| phyic acid | 1.21 |
| phylogeny | 4.08 |
| physical mutagenesis | 7.22 |
| phytic acid | 1.27 |
| Pi genes | 7.11 |
| pigmented maize | 5.23 |
| pinktomato | 1.07 |
| Pistacia vera | 4.14 |
| plant architecture | 5.64 |
| plant biofactories | 5.48 |
| plant breeding | 1.16, 5.55, 7.24 |
| plant cultivation | 1.22 |
| plant development | 5.05 |
| plant genomics | 7.24 |
| plant immunity | 3.05 |
| plant pathogen | 6.22 |
| plant phenotyping | 7.14 |
| plant resistance | 5.10 |
| plant resistance to pathogens | 3.05 |
| plant secondary metabolites | 1.22 |
| plant sensing | 3.10 |
| plant tissue culture | 1.15, 7.30 |
| plant-pathogen interactions | 5.41 |
| plastic | 7.29 |
| ploidy | 6.29 |
| PM | 2.05 |
| pollen | 6.31, 7.26 |
| polyamine metabolism | 5.05 |
| polygalacturonase 2a (PG2a) | 1.11 |
| polyphenols | 7.19 |
| positional cloning | 4.13 |
| post harvest | 1.10, 7.12 |
| PPO activity | 4.10 |
| PPOs | 7.23 |
| protein content | 7.27 |
| protein fragments | 5.10 |
| protoplast | 7.21 |
| protoplast-derived calli | 7.21 |
| provitamin A | 1.20 |
| pulse thermography | 5.41 |
| pummelo | 1.03 |
| purple durum wheat | 1.23 |
| pyramid pangenome | 4.15 |
| Q | |
| qRT-PCR | 5.35 |
| QTL | 4.13, 5.02, 5.32, 5.52, 5.57, 5.58, 6.21, 6.26, 7.10 |
| QTL mapping | 5.33, 6.20, 7.16 |
| QTLs | 6.23 |
| quantitative traits | 6.01 |
| R | |
| real-time PCR | 6.35 |
| Recombinant Inbred Lines | 4.04 |
| reduced-representation sequencing techniques | 6.24 |
| repeats | 4.05 |
| reserve proteome | 5.61 |
| resilience | 5.25 |
| resilience traits | 4.15 |
| resistance | 4.16, 5.42 |
| resistance genes | 5.06, 5.30, 6.12 |
| resistance inducers | 3.06 |
| resistant starch | 1.05 |
| reverse genomics | 3.10 |
| rhizosphere | 2.01 |
| rice | 3.02, 7.11 |
| rice (Oryza sativa) | 6.08 |
| rice flowering | 6.05 |
| RILs | 6.26 |
| RNA-seq | 1.06, 4.04, 5.08, 5.15, 5.30, 5.63, 6.06, 7.04 |
| RNAi | 5.36 |
| Rolled Towel Assay | 5.15 |
| root | 2.01 |
| root growth angle | 5.02 |
| root phytase | 5.45 |
| root rot | 5.40 |
| root system architecture | 4.02, 5.40 |
| root traits | 5.57 |
| S | |
| S-RNase | 6.35 |
| S. pimpinellifolium | 7.31 |
| saffron | 1.02 |
| salt stress | 5.10, 5.59 |
| salt stress tolerance | 5.13 |
| SAM | 6.05 |
| San Marzano landrace | 6.27 |
| SBCMV | 5.51 |
| seed nutritional quality | 1.25 |
| seed production | 5.17 |
| seed quality | 1.08 |
| seed storage proteins | 1.25 |
| seed traits | 6.20 |
| seedlessness | 6.35, 7.09 |
| selection criterion | 5.40 |
| senescence | 7.34 |
| Septoria tritici blotch | 4.16 |
| sex pheromones | 5.48 |
| sexual polyploidization | 7.25 |
| SG29 and M39 isolates | 6.06 |
| short and long reads technologies | 6.06 |
| sink-source interplay. | 6.03 |
| SlMYB12 | 1.07 |
| small peptides | 3.06 |
| smallholder farming | 5.22 |
| SNP | 7.32 |
| SNP array | 6.30 |
| SNP genotyping | 7.14 |
| SNP markers | 4.06 |
| SNPs | 4.08 |
| soil biodiversity | 2.07 |
| soil environment | 2.02 |
| soil microbiome | 5.17 |
| soil-borne pathogens | 5.51 |
| soil-borne viruses | 5.49 |
| soil-omics | 2.02 |
| soilless culture | 2.03 |
| Solanaceae | 7.26 |
| Solanum | 7.02 |
| Solanum lycopersicum | 5.62 |
| Solanum melongena L. | 5.28, 5.29, 5.30, 5.35 |
| Solanum tuberosum | 1.26 |
| sour orange | 6.06 |
| soybean transformation | 1.21 |
| SPET genotyping | 6.20 |
| spike fertility | 6.03, 6.30 |
| Spike Morphology | 6.26 |
| sprout | 7.19 |
| SSR | 6.14, 6.25 |
| stem elongation | 3.02 |
| stenospermocarpy | 7.09 |
| Stevia rebaudiana | 1.06 |
| steviol glycosides | 1.06 |
| Stomata | 3.04 |
| stomata regulation | 5.26 |
| storage | 1.09 |
| storage condition | 6.14 |
| stress combination | 5.25 |
| stress resistance | 5.56 |
| stress tolerance | 5.05, 5.38 |
| strigolactones | 2.04, 3.09, 5.09 |
| structural variants | 4.13 |
| structural variation | 4.03, 6.01 |
| submergence | 5.03 |
| subspecies | 6.22 |
| superbarcoding | 6.25 |
| superficial scald | 7.04 |
| suspension cultures | 7.20 |
| sustainability | 5.18, 7.24 |
| sustainable agriculture | 5.48, 5.61 |
| sustainable agrochemicals | 7.20 |
| sustainable farming | 2.08 |
| sustainable viticulture | 5.14 |
| sweet orange | 1.03, 6.34 |
| symbiosis | 2.03 |
| synonymy | 6.29 |
| System Genetics | 7.10 |
| T | |
| T. dicoccum | 4.12 |
| table grape | 7.09 |
| TALE | 7.02 |
| tan spot | 5.37 |
| Taraxacum kok-saghyz | 6.33 |
| TEF sequencing | 5.42 |
| terroir | 7.05 |
| TFs | 6.13 |
| thaumatin-like proteins (TLPs) | 1.11 |
| third generation sequencing technologies | 5.60 |
| tiller angle | 6.05 |
| TILLING | 1.20, 1.27, 5.64 |
| TILLING-by-sequencing | 6.07 |
| tollerance | 5.24 |
| tomato | 1.02, 2.04, 3.09, 5.09, 5.34, 5.38, 5.43, 5.59, 6.01, 6.19 |
| tomato allergens | 1.11 |
| tomato mutations | 6.27 |
| tomato plants | 5.05 |
| tomato protection | 6.28 |
| traceability | 7.07 |
| traditional variety | 6.27, 7.15 |
| transcription | 5.12 |
| transcription factor | 1.23, 5.46, 5.47, 7.17, 7.34 |
| transcriptome reprogramming | 5.09 |
| transcriptomic | 2.03, 2.05 |
| transcriptomic profiles | 7.06 |
| transcriptomics | 1.13, 4.14, 5.02, 5.06, 6.10, 7.05, 7.10, 7.25 |
| transposable elements | 4.07, 6.02 |
| trascription factors | 5.27 |
| trees | 2.05 |
| tripartite interactions | 5.51 |
| Triticum durum | 6.21 |
| Triticum turgidum | 4.15, 6.04, 6.30 |
| U | |
| UHPLC-HRMS | 7.17 |
| V | |
| Vaccinium corymbosum L. | 7.21 |
| Valle d’Aosta | 6.18 |
| valorisation | 5.23 |
| variant calling | 4.11 |
| vertical farming | 1.22 |
| virus resistance | 5.51 |
| Vitis | 6.13 |
| Vitis spp. | 7.14 |
| Vitis vinifera | 5.26, 5.63 |
| W | |
| water deficit | 5.43, 5.62 |
| water stress | 1.08, 3.04 |
| water use efficiency | 5.32 |
| waterlog stress | 5.12 |
| Weighted Gene Co-Expression Network Analysis | 1.06 |
| WGCNA | 5.30 |
| wheat | 1.05, 2.08, 5.02, 5.11, 5.61 |
| wheat germplasm | 5.51 |
| wheat wild relatives | 4.02 |
| whole genome resequencing | 4.02 |
| wild species | 4.08 |
| wild wheat relatives | 5.25 |
| wine | 6.14 |
| wine composition | 1.13 |
| wine shelf life | 6.14 |
| winter dormancy | 6.10 |
| X | |
| Xylella fastidiosa | 5.24 |
| Y | |
| yellow rust | 6.04 |
| yellow tomato | 5.55 |
| yield | 1.16, 5.50 |
| Z | |
| Zea mays | 1.25, 2.06, 6.12 |
| 1 | |
| 1-MCP | 7.04 |
| 10-OPEA | 5.04 |
| 12-OPDA | 3.04 |
