High priority taxa

Following taxa (47 out of 55) were found to be high priority taxa to collect:

  • P. alopecuroides
  • P. annuum
  • P. bambusiforme
  • P. basedowii
  • P. chilense
  • P. clandestinum
  • P. complanatum
  • P. crinitum
  • P. domingense
  • P. durum
  • P. frutescens
  • P. hohenackeri
  • P. hordeoides
  • P. intectum
  • P. karwinskyi
  • P. lanatum
  • P. latifolium
  • P. longissimum
  • P. longistylum
  • P. macrostachyum
  • P. macrourum
  • P. monostigma
  • P. montanum
  • P. nervosum
  • P. occidentale
  • P. pauperum
  • P. pennisetiforme
  • P. peruvianum
  • P. polystachion
  • P. polystachion subsp. atrichum
  • P. polystachion subsp. polystachion
  • P. prolificum
  • P. purpureum
  • P. riparium
  • P. sagittatum
  • P. schweinfurthii
  • P. setaceum
  • P. setigerum
  • P. sieberianum
  • P. squamulatum
  • P. tempisquense
  • P. thunbergii
  • P. trachyphyllum
  • P. tristachyum
  • P. unisetum
  • P. villosum
  • P. weberbaueri

See the priorities list here

Identified gaps for Pennisetum genepool

(see downloads)

We found data for 53 wild species and 2 infraspecific taxa, accounting to a total of 55 taxa. These different taxa are classified as follows, according to their closeness to the cropped species P. glaucum using Maxted and Kell (2009) as follows:

Primary wild relatives
Secondary wild relatives
Tertiary wild relatives
P. glaucum cultivars and landraces
P. purpureum
All other species in the genus
P. glaucum subsp. monodii
P. squamulatum
P. glaucum subsp. stenostachyum

The analysis dataset (download) contained 4,326 observations, with 3,364 (78%) being herbarium specimens and 962 (74%) being genebank accessions. The average number of total samples per taxon was 79 (standard deviation of 163), indicating that available data is not particularly limited, although it is concentrated in certain taxa (i.e. P. ciliare, P. polystachion, P. purpureum, P. violaceum, P. clandestinum, P. villosum). Other taxa such as P. domingense (1), and P. lanatum (1) and P. sieberianum present a very limited sampling and/or data availability and thus need further characterization and sampling for assessing a reliable ecogeographic evaluation on them.

The gap analysis of the Pennisetum genepool showed that there are 47 taxa that are either underrepresented or not represented in any way in genebanks out of the 55 taxa under analysis and these taxa was therefore flagged as high priority species. 26 of these taxa presented only 10 data points (sum of herbarium and germplasm), which indicates that these species in particular need to be further collected. Only species P. violaceum was found to be adequately represented in genebanks, while P. ciliare, P. flaccidum, P. orientale and P. pedicellatum were found to be relatively underrepresented and thus flagged as medium priority species, and P. divisum, P. mezianum and P. sphacelatum were found to be relatively well represented ex-situ.

Potential sampling zones

GE View in Google Earth

Pennisetum high priority taxa were found to be distributed in Central and South America, Africa, the Arabic Peninsula, Australia and southeastern Asia. Zones in the map above are those in which the species is likely to exist and no genebank accessions have been collected

Potential sampling richness

GE View in Google Earth

Several great sampling-richness were found (i.e. Andean region in South America, subsaharian Africa, Argentina’s northeastern region).

Brief description of data used in the analysis

P. glaucum was originated in western Africa, its closest wild relatives are found in arid regions of west and east Africa (Maxted and Kell, 2009). Following table shows the number of records (herbarium, germplasm, total) used per species for the Hordeum genepool gap analysis.

Species
Genebank accessions
Herbarium samples
Total
Pennisetum alopecuroides
0
197
197
Pennisetum annuum
0
2
2
Pennisetum bambusiforme
0
124
124
Pennisetum basedowii
0
41
41
Pennisetum chilense
0
26
26
Pennisetum clandestinum
2
283
285
Pennisetum complanatum
0
31
31
Pennisetum crinitum
0
24
24
Pennisetum domingense
0
1
1
Pennisetum durum
0
7
7
Pennisetum frutescens
0
3
3
Pennisetum hohenackeri
2
0
2
Pennisetum hordeoides
0
13
13
Pennisetum intectum
0
2
2
Pennisetum karwinskyi
0
3
3
Pennisetum lanatum
0
1
1
Pennisetum latifolium
0
38
38
Pennisetum longissimum
0
1
1
Pennisetum longistylum
0
1
1
Pennisetum macrostachyum
0
79
79
Pennisetum macrourum
0
33
33
Pennisetum monostigma
0
4
4
Pennisetum montanum
0
5
5
Pennisetum nervosum
0
34
34
Pennisetum occidentale
0
38
38
Pennisetum pauperum
0
4
4
Pennisetum pennisetiforme
0
1
1
Pennisetum peruvianum
0
42
42
Pennisetum polystachion
92
364
456
Pennisetum polystachion subsp. atrichum
0
1
1
Pennisetum polystachion subsp. polystachion
0
1
1
Pennisetum prolificum
0
13
13
Pennisetum purpureum
36
481
517
Pennisetum riparium
1
0
1
Pennisetum sagittatum
0
2
2
Pennisetum schweinfurthii
3
0
3
Pennisetum setaceum 7 282 289
Pennisetum setigerum
3
0
3
Pennisetum sieberianum
1
0
1
Pennisetum squamulatum
2
1
3
Pennisetum tempisquense
0
2
2
Pennisetum thunbergii
2
4
6
Pennisetum trachyphyllum
7
2
9
Pennisetum tristachyum
0
61
61
Pennisetum unisetum
0
13
13
Pennisetum villosum
0
228
228
Pennisetum weberbaueri
0
4
4
Pennisetum divisum
31
61
92
Pennisetum mezianum
5
6
11
Pennisetum sphacelatum
9
5
14
Pennisetum ciliare
224
661
885
Pennisetum flaccidum
5
10
15
Pennisetum orientale
28
7
35
Pennisetum pedicellatum
117
88
205
Pennisetum violaceum
385
29
414

Species’ taxonomy was reviewed using Maxted and Kell (2009) as a first stage, the GRIN taxonomical review in second place, and the Royal Botanic Gardens, Kew taxonomy database. After cross-checking and correcting both synonyms and orthography of the species’ names, a thorough georeferencing process is carried out to obtain a spatially explicit database containing as many records as possible for each species. After this, records outside continental boundaries were deleted and a final dataset was produced for analyses.

These are the 66 different collections from which data were readily available:

  1. Árboles de la Península de Yucatán, Flora del Distrito de Tehuantepec, Oaxaca y Familia Asteraceae en México (IBUNAM)
  2. Arizona State University Vascular Plant Herbarium
  3. Australian National Herbarium (CANB)
  4. Banco Nacional de Germoplasma Vegetal, México (BANGEV, UACH)
  5. BDBCV - III Semana de la Biodiversidad (Alicante, Spain), 2008
  6. Biodiversidad de Costa Rica
  7. Biologiezentrum Linz
  8. Bishop Museum Natural History Specimen Data
  9. Bizzenbach-Aue im Bizzenbachtal (Wehrheim/Taunus)
  10. Bundesamt fuer Naturschutz / Netzwerk Phytodiversitaet Deutschland
  11. Database Schema for UC Davis [Herbarium Labels]
  12. EMBRAPA Recursos Geneticos e Biotecnologia - CENARGEN
  13. EURISCO, The European Genetic Resources Search Catalogue
  14. Galapagos grasses and sedges
  15. Haus der Natur Salzburg
  16. Herbario de la Escuela Nacional de Ciencias Biológicas, México (ENCB, IPN)
  17. Herbario de la Universidad de Arizona, EUA
  18. Herbario de la Universidad de Salamanca: SALA
  19. Herbario del Instituto de Ecología, A.C., México (IE-BAJIO)
  20. Herbario del Instituto de Ecología, A.C., México (IE-XAL)
  21. Herbarium de Geo. B. Hinton, México
  22. Herbarium of Kitakyushu Museum of Natural History and Human History
  23. Herbarium Specimens of Museum of Nature and Human Activities, Hyogo Pref., Japan
  24. Herbarium Universitat Ulm
  25. Herbarium W
  26. Herbier de la Guyane
  27. herbier de nouvelle-caledonie
  28. Hortus Botanicus Sollerensis Herbarium (FBonafè)
  29. Impetus - Herbarium Hamburgense
  30. Institut Botanic de Barcelona, BC
  31. Instituto de Ciencias Naturales
  32. Internation Botanical Collections (S)
  33. Inventaire national du Patrimoine naturel (INPN)
  34. Israel Nature and Parks Authority
  35. Jardín Botánico de Córdoba: Herbarium COA
  36. Kurashiki Museum of Natural History
  37. Lund Botanical Museum (LD)
  38. Magnoliophyta- Taiwan Biodiversity Data for GBIF
  39. Missouri Botanical Garden
  40. New Zealand Biodiversity Recording Network
  41. New Zealand National Plant Herbarium (CHR)
  42. NMNH Botany Collections
  43. NSW herbarium collection
  44. Observations du Conservatoire botanique national du Bassin parisien.
  45. Phanerogamie
  46. Plants of Papua New Guinea
  47. privater Garten
  48. Real Jardin Botanico (Madrid), Vascular Plant Herbarium (MA)
  49. Repatriación de datos del Herbario de Arizona (ARIZ)
  50. Royal Botanic Gardens, Kew
  51. SysTax
  52. The AAU Herbarium Database
  53. The Deaver Herbarium, Northern Arizona University
  54. The System-wide Information Network for Genetic Resources (SINGER)
  55. UA Herbarium
  56. United States National Plant Germplasm System Collection
  57. Universidad de Almería, HUAL
  58. Universidad de Extremadura, UNEX
  59. Universidad de Málaga: MGC-Cormof
  60. Universidade Federal de Mato Grosso
  61. University and Jepson Herbaria DiGIR provider
  62. USDA PLANTS Database
  63. USU-UTC Specimen Database
  64. Vascular Plant Collection
  65. Vascular Plant Collection - University of Washington Herbarium (WTU)
  66. Vascular plants of south-central China

Downloads

Climatic niche model for P. alopecuroide
Climatic niche model for P. bambusiforme
Climatic niche model for P. basedowii
Climatic niche model for P. chilense
Climatic niche model for P. ciliare
Climatic niche model for P. clandestinum
Climatic niche model for P. complanatum
Climatic niche model for P. crinitum
Climatic niche model for P. divisum
Climatic niche model for P. flaccidum
Climatic niche model for P. hordeoides
Climatic niche model for P. latifolium
Climatic niche model for P. macrostachyum
Climatic niche model for P. macrourum
Climatic niche model for P. mezianum
Climatic niche model for P. nervosum
Climatic niche model for P. occidentale
Climatic niche model for P. orientale
Climatic niche model for P. pedicellatum
Climatic niche model for P. peruvianum
Climatic niche model for P. polystachion
Climatic niche model for P. purpureum
Climatic niche model for P. setaceum
Climatic niche model for P. sphacelatum
Climatic niche model for P. tristachyum
Climatic niche model for P. unisetum
Climatic niche model for P. villosum
Climatic niche model for P. violaceum
Pennisetum potential collecting zones
Pennisetum potential collecting richness
Predicted species richness under current climatic conditions
Predicted species richness under future climatic conditions
Changes on predicted species richness due to climate change
Sampling density (200km cell size) for germplasm accessions
Sampling density (200km cell size) for herbarium samples
Conservation priorities list for Pennisetum genepool
Dataset used for this analysis

back to top

 

Leave your Comment

| Log in