LXV SIGA Annual Congress
From genes to fork – On Mendel’s footsteps
Piacenza, 6-9 September 2022
Session 1 – One health – Plant genes for human health
Session 2 – Breeding for resilience: addressing climate change in plant genetics
Session 3 – Innovative methods and tools in plant genetics and breeding
Session 4 – Underground genetics: roots and their interactions
Session 5 – Exploring the plant epigenomes
Session 6 – Fruit and forest trees genomics, genetics and breeding
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 Dipartimento di Scienze delle Produzioni Vegetali Sostenibili |
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 Centro Ricerca Genomica e Bioinformatica, Fiorenzuola d'Arda |
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Under the patronage of: |
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With the support of: |
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Programme
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TUESDAY, SEPTEMBER 6th
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| 13:00 – 14:30 | Registration | |
| 14:30 – 15:00 | Opening ceremony Chairpersons: Filippone E., Marocco A., Cattivelli L.Welcome addresses by Institutional and Local Authorities |
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| 15:00 – 16:45 | Session 1 – One health – Plant genes for human health Chairpersons: Ambrosone A., Comino C. |
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| 15:00 – 15:30 | Invited Lecture Bosch D. Plant terpene biosynthesis genes for human health. Application via genome editing in chicory; the EU-CHIC project |
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| 15:30 – 15:45 | Diretto G., Frusciante S., Ahrazem O., Gomez-Gomez L., Rambla J.L., Granell A., Argandona J., Moraga A., Lobato-Gomez M., Presa S. Engineering high levels of saffron apocarotenoids in tomato |
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| 15:45 – 16:00 | Ciacciulli A., Salonia F., Pindo M., Stefani E., Amenta M., Caruso M., Licciardello C. Colourimetric, genetic, transcriptomic and metabolomic approaches on four lycopene-rich citrus varieties for broad applications in biotechnology |
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| 16:00 – 16:15 | Colombo F., Bertagnon G., Sangiorgio S., Singh S., Pilu R. Chasing the main pleiotropic effects in low phytic acid1-1 mutant: a sustainable solution to non-renewable phosphorus |
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| 16:15 – 16:30 | Botticella E., Testone G., Buffagni V., Palombieri S., Lucini L., Giannino D., Lafiandra D., Sestili F. Tailoring starch biosynthesis in wheat hits crucial kernel metabolic pathways as disclosed by multiple omics approaches |
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| 16:30 – 16:45 | Simoni S., Vangelisti A., Clemente C., Tavarini S., Usai G., Mascagni F., Natali L., Angelini L.G., Cavallini A., Giordani T. Transcriptomic analysis of Stevia rebaudiana (Bertoni) provides novel insights into steviol glycosides and phenolic compounds biosynthesis and accumulation |
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| 16:45 – 17:10 | Coffee Break and Online Poster Viewing | |
| 17:10 – 19:00 | Session 2 – One health – Developing the holobiont concept Chairpersons: Mastrangelo A.M., Salsi S. |
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| 17:10 – 17:40 | Invited Lecture Hochholdinger F. Genetic control of maize root formation and its interaction with the rhizosphere |
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| 17:40 – 17:55 | Bertola M., Righetti L., Gazza L., Ferrarini A., Fornasier F., Cirlini M., Lolli V., Galaverna G., Visioli G. Evolution of rhizosphere microbial communities’ composition and activity during perennial wheat crops cultivation |
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| 17:55 – 18:10 | Vangelisti A., Cela F., Simoni S., Avio L., Turrini A., Sbrana C., Incrocci L., Pardossi A., Natali L., Cavallini A., Giordani T. Arbuscular symbiosis in soilless culture: transcriptomic and biochemical analyses in Lactuca sativa plants |
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| 18:10 – 18:25 | Cuccurullo A., Yoneyama K., Bouwmeester H., D’Agostino N., Festa G., Camerlengo F., Contaldi F., Cardi T., Nicolia A. Phenotypic comparison of CRISPR/Cas9 tomato mutants targeting genes responsible for the biosynthesis of strigolactones |
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| 18:25 – 18:40 | Martinelli F., Vergata C., Ferrini F., Moura B., Buti M., Baccelli I., Mengoni A., Vaccaro F. Hidden plant responses to urban particulate matter |
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| 18:40 – 19:00 | General discussion | |
| 19:00 | Welcome Cocktail offered by Terra Srl and Apsovsementi SpA |
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WEDNESDAY, SEPTEMBER 7th
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| 09:00 – 10:45 | Session 3 – Phytohormones, sensing and signaling Chairpersons: Beretta M., Leone A. |
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| 09:00 – 09:30 | Invited Lecture Cano-Delgado A.I. Deciphering the role of brassinosteroids in plant adaption to climate change |
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| 09:30 – 09:45 | Vicentini G., Bignardi A., Moore S., Cazzaniga F., Pirota M., Giaume F., Gomez-Ariza J., Pierce S., Fornara F., Brambilla V. PREMATURE INTERNODE ELONGATION 1 (PINE1) represses GIBBERELLIN sensitivity in the rice stem |
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| 09:45 – 10:00 | Busatto N., Moretto M., Farneti B., Populin F., Vrhovsek U., Commisso M., Sonego P., Biasioli F., Guzzo F., Fontana P., Costa F. The ripening initiation of apple fruit is regulated by a hormonal circuit sustained by auxin |
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| 10:00 – 10:15 | Simoni L., Simeoni F., Conti L., Tonelli C., Castorina G., Skirycz A., Galbiati M. The AtMYB60 transcription factor integrates ABA and oxylipin signalling in guard cells |
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| 10:15 – 10:30 | Giulietti S., De Lorenzo G., Savatin D. Insights into the Arabidopsis NPK1-related Protein kinases (ANPs) role in danger signaling |
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| 10:30 – 10:45 | General Discussion | |
| 10:45 – 11:15 | Coffee Break and Online Poster Viewing offered by Corteva Agriscience |
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| 11:15 – 13:00 | Session 4 – Comparative genomics and pangenomics Chairpersons: Maccaferri M., Mazzucotelli E. |
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| 11:15 – 11:45 | Invited Lecture Wulff B. Sustainable control of disease resistance – the case for GM wheat |
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| 11:45 – 12:00 | Bozzoli M., Bruschi M., Nefzaoui M., Prestera M., Thomelin P., Ober E., Quiroz Chávez J., Ramirez Gonzalez R., Gaurav K., Arora S., Uauy C., Brande W., Tuberosa R., Maccaferri M. Exploiting the full potential of a low-linkage disequilibrium, fully re-sequenced Agilops tauschii collection for GWAS targeting root system architecture |
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| 12:00 – 12:15 | Guerra D., Viottini G., Li C., Naz A., Mascher M., Stein N., Cattivelli L., Tondelli A. A gene duplication at the Blp1 locus is associated with the black grain phenotype in barley |
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| 12:15 – 12:30 | Toppino L., Sirangelo T.M., Tassone M.R., Bagnaresi P., Lopatriello G., Delledonne M., Rotino G.L. Genomic and transcriptomic investigation about Fusarium oxysporum f. sp. melongenae resistance in ‘305E40’ eggplant line |
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| 12:30 – 12:45 | Rossato M., Marcolungo L., De Antoni L., Lopatriello G., Bellucci E., Cortinovis G., Frascarelli G., Nanni L., Bitocchi E., Bett K., Ramsay L., Konkin D.J., Delledonne M., Papa R. CRISPR-Cas9-based repeat depletion for high-throughput genotyping of complex plant genomes |
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| 12:45 – 13:00 | General Discussion | |
| 13:00 – 14:30 | Lunch Break | |
| 14:30 – 16:30 | Session 5 – New routes to plant adaptation and sustainable agriculture Chairpersons: Dell’Acqua M., Lanubile A. |
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| 14:30 – 15:00 | Invited Lecture Dubcovsky J. Reverse genetic tools and their utilization to dissect grain yield components in wheat |
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| 15:00 – 15:15 | Forestan C., Rosignoli S., Sciara G., Bruschi M., Sangiorgi G., Ormanbekova D., Tuberosa R., Maccaferri M., Salvi S. Exploring the molecular bases of Root Growth Angle and its regulation in barley and wheat |
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| 15:15 – 15:30 | Gomez-Alvarez E.M., Tondelli A., Nghi K.N., Viktoriia V., Valè G., Perata P., Pucciariello C. Barley germination after flooding events depends on hypoxia-induced secondary dormancy |
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| 15:30 – 15:45 | Guche M.D., Pilati S., Dalla Costa L., Moser C., Guella G., Trenti F., Lanubile A., Marocco A. Functional study of lipoxygenase-mediated resistance against Aspergillus flavus and Fusarium verticillioides infection in maize |
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| 15:45 – 16:00 | D’Incà R., Mattioli R., Tomasella M., Tavazza M., Macone A., Tavazza R., Martignago D., Incocciati A., Fraudentali I., Cona A., Angelini R., Nardini A., Tavladoraki P. CRISPR/Cas9-mediated mutagenesis of a polyamine oxidase gene increases tomato plant tolerance to drought stress |
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| 16:00 – 16:15 | Licciardello C., Scalabrin S., D’Amante G., Russo M.P., Caruso P., Vidotto M., Alves M.N., Wulff N.A., Vendramin V., Ollitrault P., Pena L. Eremocitrus glauca, a genetic source to fight against Huanglongbing, a highly destructive citrus disease |
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| 16:15 – 16:30 | General Discussion | |
| 16:30 – 17:00 | SIGA Young Research Award 2022 Chairpersons: Filippone E., Rosellini D. |
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| Puglisi D. Genomic prediction of grain yield in a barley MAGIC population modeling genotype per environment interaction |
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| Magris G. The genomes of 204 Vitis vinifera accessions reveal the origin of European wine grapes |
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| Award ceremony | ||
| 17:00 – 17:30 | Coffee Break and Online Poster Viewing | |
| 17:30 – 19:30 | SIGA General Assembly | |
| THURSDAY, SEPTEMBER 8th | ||
| 09:00 – 11:00 | Session 6 – Genetics and beyond: from Mendel to epigenomics Organized by Next Generation SIGA Chairpersons: Cassibba V., Mascagni F. |
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| 09:00 – 09:30 | Invited Lecture Benoit M. Impact of structural and epigenetic variation on quantitative traits during tomato domestication |
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| 09:30 – 09:45 | Usai G., Ventimiglia M., Marturano G., Vangelisti A., Simoni S., Cavallini A., Giordani T., Natali L., Zuccolo A., Mascagni F. Exploring a model for the formation of novel genes from transposons in plants |
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| 09:45 – 10:00 | de Sario F., Bozzoli M., Forestan C., Sakuma S., Gabay G., Milner S.G., Snowdon R., Salvi S., Tuberosa R., Schnurbusch T., Maccaferri M. Fine mapping and characterization of Grain Number Increase-2 locus (GNI-A2) in durum wheat |
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| 10:00 – 10:15 | Novi J.B., Mazzucotelli E., Desiderio F., Pourkhorshid Z., Viola P., Invernizzi C., Oliveri F., Randazzo B., Mastrangelo A.M., Marone D., Roncallo P., Campana M., Bozzoli M., Meriggi D., Omar I., Baidani A., Ozkan H., Bashour I., Sharif Ragab Mohamed E., Gadaleta A., El Amil R., Nazari K., Bassi F., Cattivelli L., Tuberosa R., Maccaferri M. Multienvironment assessment and GWAS of the global durum genomic resource for resistance to yellow rust |
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| 10:15 – 10:30 | Mineri L., Cerise M., Giaume F., Vicentini G., Martignago D., Chiara M., Galbiati F., Sergi E., Spada A., Horner D., Fornara F., Brambilla V. A common set of genes responding to florigenic and photoperiodic induction at the shoot apical meristem of rice |
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| 10:30 – 10:45 | Puglisi D., Lopatriello G., Grosso V., Caruso M., Bazzano M., Scuderi G., Catara A., Caruso P., Rossato M., Licciardello G., Licciardello C. The transcriptome of Citrus aurantium sequenced and assembled by using a hybrid approach: a novel basis to investigate the cross-protection mechanism of Citrus tristeza virus |
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| 10:45 – 11:00 | Paolo D., Rossato M., Testone G., Frugis G., Di Vittori V., Liberatore C., Galbiati M., Cominelli E., Locatelli F., Delledonne M., Cortinovis G., Bellucci E., Bitocchi E., Rodriguez M., Attene G., Aragao F., Porch T.G., Papa R., Sparvoli F. Genetics of domestication in common bean (Phaseolus vulgaris L.): an approach for the analysis of candidate genes via TILLING-by-sequencing |
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| 11:00 – 11:30 | Coffee Break and Online Poster Viewing | |
| 11:30 – 12:30 | Session 6 – (cont) | |
| 11:30 – 11:45 | Zhu W., Yang L., Wu D., Meng Q., Deng X., Huang G., Chen X., Ferrándiz C., Liang W., Dreni L., Zhang D. Rice SEPALLATA genes OsMADS5 and OsMADS34 cooperate to limit inflorescence branching by repressing the TERMINAL FLOWER1-like gene RCN4 |
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| 11:45 – 12:00 | Macharia M.W., Tamang A., Caproni L., Miculan M., Pe’ M.E., Dell’Acqua M. Genetic structure of maize landraces from the Himalayan region |
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| 12:00 – 12:15 | Joseph J., Canton M., Aiese Cigliano R., Bonghi C., Varotto S. A transcriptomic study on peach floral and vegetative buds during winter dormancy |
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| 12:15 – 12:30 | General Discussion | |
| 12:30 – 14:30 | Lunch Break | |
| 14:30 – 16:45 | Workshop – Coordinamento delle politiche di conservazione e utilizzo delle risorse genetiche vegetali per attività di ricerca e di miglioramento genetico Discussants: Ercolano M.R., Giannino D. |
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| 14:30 – 16:30 | Mazzucato A. Agro-biodiversità: l’impatto delle visioni generali e particolari |
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| Tucci M. La tutela, gestione e valorizzazione delle RGVAA nel groviglio dei regolamenti internazionali, nazionali e regionali. La concertazione del progetto ABC |
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| Laghetti G. I progetti, i programmi e le visioni del Consiglio Nazionale delle Ricerche |
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| Verde I. Il programma RGV FAO: visioni e problematiche sul reperimento, conservazione, utilizzo e condivisione delle risorse genetiche vegetali del CREA |
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| Giuliano G. Una proposta di infrastruttura Europea dedicata alle RGVAA |
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| Papa R. Il progetto “INCREASE”: collezioni intelligenti di risorse genetiche di leguminose alimentari per i sistemi agroalimentari europei |
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| Maccaferri M. Il coordinamento italiano delle “Global Durum Resources”, un progetto collaborativo mondiale: dalle risorse agli utilizzatori finali |
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| Goritschnig S. Progetto EVA: caratterizzazione e valutazione delle RGVAA delle banche europee mediante partenariati internazionali pubblico-privati |
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| Lipparini A. La posizione di Assosementi sull’impiego delle RGVAA |
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| Manzella D. La normativa internazionale in evoluzione: risorse genetiche, dati e nuove prospettive per la condivisione dei benefici |
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| 16:30 – 16:45 | Conclusioni Cardi T. |
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| 16:45 – 17:30 | Coffee Break and Online Poster Viewing | |
| 17:30 – 19:00 | Parallel poster Sessions in presence | |
| 20:30 | Social Event | |
| FRIDAY, SEPTEMBER 9th | ||
| 09:30 – 12:00 | Session 7 – SIGA on Mendel’s footsteps Chairpersons: Cattivelli L., Masci S. |
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| 09:30 – 09:45 | Nicolia A., Festa G., D’Agostino N., Scotti N., Arimura S., Cardi T. Mitochondrial DNA editing in potato |
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| 09:45 – 10:00 | Dal Corso G., Galati S., Giannelli G., Fragni R., Buschini A., Furini A., Visioli G. The involvement of DNA methylation in enhancing heavy metal hypertolerance |
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| 10:00 – 10:15 | Populin F., Vittani L., Stuerz S., Buehlmann A., Khomenko I., Biasioli F., Vrhovsek U., Masuero D., Zanella A., Busatto N., Costa F. Comparative analysis of ‘Granny Smith’ and ‘Ladina’ apple cultivars in relation to the onset of the postharvest disorder superficial scald |
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| 10:15 – 10:30 | Vannozzi A., Perin C., Palumbo F., Sandri M., Zuccolotto P., Zenoni S., Barcaccia G., Pindo M., Cestaro A., Sonego P., Lucchin M. Dissecting the effect of soil on berry transcriptional plasticity in two Italian grapevine varieties (V. vinifera L.) |
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| 10:30 – 10:45 | Casarin S., Bertazzon N., Sirangelo T.M., Filippin L., Cattivelli L., Angelini E., Bagnaresi P. The study of three grapevine clones to uncover the genetic traits responsible for the low susceptibility to Flavescence dorée |
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| 10:45 – 11:00 | Bonarrigo M., Palombieri S., Potestio S., Sestili F., Lafiandra D., Miceli C., Messina B., Russo G., Masci S. Evaluation of genetic diversity of Sicilian autochthonous tetraploid wheat varieties by gluten protein analysis |
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| 11:00 – 11:15 | Vitale P., Laidò G., Dono G., Pecorella I., Ramasubramanian V., Lorenz A., De Vita P., Pecchioni N. Multivariate genomic prediction for agronomic traits in durum wheat under two field managements |
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| 11:15 – 11:45 | Invited Lecture Morgante M. The evolving definition of a gene in the context of modern plant breeding |
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| 11:45 – 12:00 | General Discussion | |
| 12:00 – 12:15 | Closing Ceremony Chairpersons: Filippone E., Salvi S. |
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Keywords index
| 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 |
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