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[null,"1.","Record Nr.",null,"UNISALENTO991000822659707536"]
[null,null,"Autore",null,"Brandeis University"]
[null,null,"Titolo",null,"Astrophysics and general relativity / edited by M. Chrétien, S. Deser and J. Goldstein"]
[null,null,"Pubbl/distr/stampa",null,"New York : Gordon and Breach Science Publishers, 1969-1971"]
[null,null,"Descrizione fisica",null,"2 v. (300, 337 p.) : ill. ; 24 cm"]
[null,null,"Collana",null,"Brandeis University Summer Institute in theoretical physics ; 1-2 (1968)"]
[null,null,"Classificazione",null,"52.9.53"]
[{"$nulls":4},"53(082.2)"]
[{"$nulls":4},"53.1.52"]
[null,null,"Soggetti",null,"General relativity (Physics)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910346752203321"]
[null,null,"Autore",null,"Marcos Egea-Cortines"]
[null,null,"Titolo",null,"Phenomics"]
[null,null,"Pubbl/distr/stampa",null,"Frontiers Media SA, 2018"]
[null,null,"Descrizione fisica",null,"1 online resource (222 p.)"]
[null,null,"Collana",null,"Frontiers Research Topics"]
[null,null,"Soggetti",null,"Botany & plant sciences"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","\"Phenomics\" is an emerging area of research whose aspiration is the systematic measurement of the physical, physiological and biochemical traits (the phenome) belonging to a given individual or collection of individuals. Non-destructive or minimally invasive techniques allow repeated measurements across time to follow phenotypes as a function of developmental time. These longitudinal traits promise new insights into the ways in which crops respond to their environment including how they are managed. To maximize the benefit, these approaches should ideally be scalable so that large populations in multiple environments can be sampled repeatedly at reasonable cost. Thus, the development and validation of non-contact sensing technologies remains an area of intensive activity that ranges from Remote Sensing of crops within the landscape to high resolution at the subcellular level. Integration of this potentially highly dimensional data and linking it with variation at the genetic level is an ongoing challenge that promises to release the potential of both established and under-exploited crops."]