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Phenomics

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Lange, Matthias; Laporte, Marie-AngĂ©lique; Michotey, CĂ©lia; Oppermann, Markus; Ostler, Richard; Poorter, Hendrik; Ramı́rez-Gonzalez, Ricardo; RamĆĄak, Ćœiva; Reif, Jochen C.; Rocca-Serra, Philippe; Sansone, Susanna-Assunta; Scholz, Uwe; Tardieu, François; Uauy, Cristobal; Usadel, Björn; Visser, Richard G. F.; Weise, Stephan; Kersey, Paul J.; Miguel, CĂ©lia M.; Adam-Blondon, Anne-Françoise; Pommier, Cyril (2020).
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community in various implementations, ranging from end-user ready cyber-platforms in the cloud such as DIRT and PlantIt to programming frameworks for software developers such as PlantCV. Many research groups are focused on developing systems using the Breeding API, a Standardized RESTful Web Service API Specification for communicating Plant Breeding Data.
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O'Leary, M. A.; Bloch, J. I.; Flynn, J. J.; Gaudin, T. J.; Giallombardo, A.; Giannini, N. P.; Goldberg, S. L.; Kraatz, B. P.; Luo, Z.-X.; Meng, J.; Ni, X.; Novacek, M. J.; Perini, F. A.; Randall, Z.; Rougier, G. W.; Sargis, E. J.; Silcox, M. T.; Simmons, N. B.; Spaulding, M.; Velazco, P. M.; Weksler,
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Papoutsoglou, Evangelia A.; Faria, Daniel; Arend, Daniel; Arnaud, Elizabeth; Athanasiadis, Ioannis N.; Chaves, InĂȘs; Coppens, Frederik; Cornut, Guillaume; Costa, Bruno V.; Ćwiek-KupczyƄska, Hanna; Droesbeke, Bert; Finkers, Richard; Gruden, Kristina; Junker, Astrid; King, Graham J.; Krajewski, PaweƂ;
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The European research infrastructure for plant phenotyping, EMPHASIS, enables researchers to use facilities, services and resources for multi-scale plant phenotyping across Europe. EMPHASIS aims to promote future food security and agricultural business in a changing climate by enabling scientists to
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In plant sciences, phenomics research occurs in both field and controlled environments. Field phenomics encompasses the measurement of phenotypes that occur in both cultivated and natural conditions, whereas controlled environment phenomics research involves the use of glass houses, growth chambers,
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The International Plant Phenotyping Network (IPPN) is an organization that seeks to enable exchange of knowledge, information, and expertise across many disciplines involved in plant phenomics by providing a network linking members, platform operators, users, research groups, developers, and policy
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A Minimal Information About a Plant Phenotyping Experiment (MIAPPE) standard is available and in use among many researchers collecting and organizing plant phenomics data. A diverse set of computer vision methods exist to analyze 2D and 3D imaging data of plants. These methods are available to the
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The Australian Plant Phenomics Facility (APPF), an initiative of the Australian government, has developed a number of new instruments for comprehensive and fast measurements of phenotypes in both the lab and the field.
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Bao, Yin; Zarecor, Scott; Shah, Dylan; Tuel, Taylor; Campbell, Darwin A.; Chapman, Antony V. E.; Imberti, David; Kiekhaefer, Daniel; Imberti, Henry; LĂŒbberstedt, Thomas; Yin, Yanhai;
107:(physical and biochemical traits) that can be produced by a given organism over the course of development and in response to genetic mutation and environmental influences. 45:
References need to be checked whether they actually support the statements made. I checked a few and neither even mentioned "phenome" or "phenomics".
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makers. Regional partners include, the European Plant Phenotyping Network (EPPN), the North American Plant Phenotyping Network (NAPPN), and others.
159:'s Field Scanner in Maricopa, Arizona is a platform developed to measure field phenotypes. Controlled environment systems include the Enviratron at 705:
Schilling, C.H.; Edwards, J.S.; Palsson, B.O. (1999). "Toward metabolic phenomics: analysis of genomic data using flux balances".
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M.; Wible, J. R.; Cirranello, A. L. (2013). "The placental mammal ancestor and the post-K-Pg radiation of placentals".
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Bilder, R.M.; Sabb, F.W.; Cannon, TD; London, ED; Jentsch, JD; Parker, DS; Poldrack, RA; Evans, C; Freimer, NB (2009).
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Technical challenges involve improving, both qualitatively and quantitatively, the capacity to measure phenomes.
168: 797: 49: 397:– via The Food and Agriculture Organization (FAO) is a specialized agency of the United Nations. 516:
The TerraRef Gantry System of the University of Arizona on the fields of the Maricopa Research Center
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Houle, David; Govindaraju, Diddahally R.; Omholt, Stig (2010). "Phenomics: the next challenge".
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Houle, David; Govindaraju, Diddahally R.; Omholt, Stig (2010). "Phenomics: the next challenge".
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and other fields. Phenomics is concerned with the measurement of the phenotype where a
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better understand plant performance and translate this knowledge into application.
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An organism's phenotype changes with time. The relationship between phenotype and
802: 340: 549: 786: 742: 528: 394: 349: 163:, the Plant Cultivation Hall under construction at IPK, and platforms at the 135: 476: 766: 726: 620: 568: 494: 432: 367: 308: 273: 92: 688: 96: 209:, a database combining phenotypic and genetic data from several species 206: 115: 718: 655: 601: 485: 240:"Phenomics: The systematic study of phenotypes on a genome-wide scale" 666: 84: 677: 645:
PlantIt: free image-based plant phenotyping automation in the cloud
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and other systems where growth conditions can be manipulated.
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is the systematic study of traits that make up an organisms
633: 453: 383:"Concept of phenomics and its development in plant science" 515: 187: 704: 410: 406: 404: 286: 237: 401: 231: 526: 784: 678:NAPPN - North American Plant Phenotyping Network 533:"Assessing plant performance in the Enviratron" 380: 667:IPPN - International Plant Phenotyping Network 175:Standards, methods, tools, and instrumentation 745:(2002). "Phenomics: fiction or the future?". 114:enables researchers to understand and study 610: 600: 558: 548: 484: 357: 339: 263: 68:Learn how and when to remove this message 682: 220:, a formal ontology of human phenotypes 649: 638: 509: 785: 741: 671: 634:Digital Imaging of Root Traits (DIRT) 188:Research coordination and communities 660: 627: 381:Guanghui, Yu; Xuanjun, Fang (2009). 165:Donald Danforth Plant Science Center 18: 321: 13: 697: 324:"Welcome to the Phenomics Journal" 256:10.1016/j.neuroscience.2009.01.027 14: 814: 149: 118:. Phenomics concepts are used in 23: 144: 575: 520: 447: 374: 315: 280: 169:University of Nebraska-Lincoln 16:Systematic study of phenotypes 1: 759:10.1016/S0166-2236(02)02250-6 224: 7: 200: 43:. The specific problem is: 10: 819: 341:10.1007/s43657-020-00009-4 550:10.1186/s13007-019-0504-y 157:The University of Arizona 387:Molecular Plant Breeding 218:Human Phenotype Ontology 747:Trends in Neurosciences 477:10.1126/science.1229237 413:Nature Reviews Genetics 289:Nature Reviews Genetics 124:pharmaceutical research 707:Biotechnology Progress 322:Jin, Li (2021-02-01). 134:, and increasingly in 161:Iowa State University 132:agricultural research 128:metabolic engineering 213:Phenotype microarray 50:improve this article 39:to meet Knowledge's 798:Branches of biology 469:2013Sci...339..662O 120:functional genomics 719:10.1021/bp9900357 602:10.1111/nph.16544 463:(6120): 662–667. 171:, and elsewhere. 78: 77: 70: 41:quality standards 32:This article may 810: 778: 738: 691: 686: 680: 675: 669: 664: 658: 653: 647: 642: 636: 631: 625: 624: 614: 604: 579: 573: 572: 562: 552: 524: 518: 513: 507: 506: 488: 451: 445: 444: 408: 399: 398: 378: 372: 371: 361: 343: 319: 313: 312: 284: 278: 277: 267: 235: 73: 66: 62: 59: 53: 27: 26: 19: 818: 817: 813: 812: 811: 809: 808: 807: 783: 782: 781: 753:(10): 506–509. 700: 698:Further reading 695: 694: 687: 683: 676: 672: 665: 661: 654: 650: 643: 639: 632: 628: 589:New Phytologist 580: 576: 525: 521: 514: 510: 452: 448: 425:10.1038/nrg2897 419:(12): 855–866. 409: 402: 379: 375: 320: 316: 301:10.1038/nrg2897 295:(12): 855–866. 285: 281: 236: 232: 227: 203: 190: 177: 152: 147: 74: 63: 57: 54: 47: 28: 24: 17: 12: 11: 5: 816: 806: 805: 800: 795: 780: 779: 739: 713:(3): 288–295. 701: 699: 696: 693: 692: 681: 670: 659: 648: 637: 626: 595:(1): 260–273. 574: 529:Nettleton, Dan 519: 508: 446: 400: 373: 314: 279: 229: 228: 226: 223: 222: 221: 215: 210: 202: 199: 189: 186: 176: 173: 151: 150:Plant sciences 148: 146: 143: 76: 75: 31: 29: 22: 15: 9: 6: 4: 3: 2: 815: 804: 801: 799: 796: 794: 791: 790: 788: 776: 772: 768: 764: 760: 756: 752: 748: 744: 740: 736: 732: 728: 724: 720: 716: 712: 708: 703: 702: 690: 685: 679: 674: 668: 663: 657: 652: 646: 641: 635: 630: 622: 618: 613: 608: 603: 598: 594: 590: 586: 578: 570: 566: 561: 556: 551: 546: 542: 538: 537:Plant Methods 534: 530: 523: 517: 512: 504: 500: 496: 492: 487: 482: 478: 474: 470: 466: 462: 458: 450: 442: 438: 434: 430: 426: 422: 418: 414: 407: 405: 396: 392: 388: 384: 377: 369: 365: 360: 355: 351: 347: 342: 337: 333: 329: 325: 318: 310: 306: 302: 298: 294: 290: 283: 275: 271: 266: 261: 257: 253: 249: 245: 241: 234: 230: 219: 216: 214: 211: 208: 205: 204: 198: 194: 185: 181: 172: 170: 166: 162: 158: 142: 139: 137: 136:phylogenetics 133: 129: 125: 121: 117: 113: 108: 106: 102: 98: 94: 93:data sciences 90: 86: 82: 72: 69: 61: 51: 46: 42: 38: 37: 30: 21: 20: 750: 746: 710: 706: 684: 673: 662: 651: 640: 629: 592: 588: 577: 540: 536: 522: 511: 460: 456: 449: 416: 412: 386: 376: 331: 327: 317: 292: 288: 282: 250:(1): 30–42. 247: 244:Neuroscience 243: 233: 195: 191: 182: 178: 153: 145:Applications 140: 109: 103:is a set of 80: 79: 64: 55: 48:Please help 44: 33: 97:engineering 58:August 2023 52:if you can. 787:Categories 743:Gerlai, R. 543:(1): 117. 486:11336/7302 334:(1): 1–2. 225:References 207:PhenomicDB 116:pleiotropy 793:Phenomics 503:206544776 395:1672-416X 350:2730-5848 328:Phenomics 85:phenotype 81:Phenomics 775:23587977 767:12220878 727:10356245 689:EMPHASIS 621:32171029 569:31660060 495:23393258 441:14752610 433:21085204 368:36939790 309:21085204 274:19344640 201:See also 112:genotype 34:require 735:9677662 656:PlantCV 612:7317793 560:6806530 465:Bibcode 457:Science 359:9584128 265:2760679 101:phenome 89:biology 36:cleanup 773:  765:  733:  725:  619:  609:  567:  557:  501:  493:  439:  431:  393:  366:  356:  348:  307:  272:  262:  167:, the 105:traits 803:Omics 771:S2CID 731:S2CID 499:S2CID 437:S2CID 763:PMID 723:PMID 617:PMID 565:PMID 491:PMID 429:PMID 391:ISSN 364:PMID 346:ISSN 305:PMID 270:PMID 755:doi 715:doi 607:PMC 597:doi 593:227 555:PMC 545:doi 481:hdl 473:doi 461:332 421:doi 354:PMC 336:doi 297:doi 260:PMC 252:doi 248:164 138:. 789:: 769:. 761:. 751:25 749:. 729:. 721:. 711:15 709:. 615:. 605:. 591:. 587:. 563:. 553:. 541:15 539:. 535:. 497:. 489:. 479:. 471:. 459:. 435:. 427:. 417:11 415:. 403:^ 389:. 385:. 362:. 352:. 344:. 330:. 326:. 303:. 293:11 291:. 268:. 258:. 246:. 242:. 130:, 126:, 122:, 95:, 91:, 777:. 757:: 737:. 717:: 623:. 599:: 571:. 547:: 505:. 483:: 475:: 467:: 443:. 423:: 370:. 338:: 332:1 311:. 299:: 276:. 254:: 71:) 65:( 60:) 56:(

Index

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phenotype
biology
data sciences
engineering
phenome
traits
genotype
pleiotropy
functional genomics
pharmaceutical research
metabolic engineering
agricultural research
phylogenetics
The University of Arizona
Iowa State University
Donald Danforth Plant Science Center
University of Nebraska-Lincoln
PhenomicDB
Phenotype microarray
Human Phenotype Ontology
"Phenomics: The systematic study of phenotypes on a genome-wide scale"
doi
10.1016/j.neuroscience.2009.01.027
PMC
2760679
PMID

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