Assessing the Geographic Representativeness of Genebank Collections: the Case of Bolivian Wild Potatoes

Hijmans, Robert J.; Garrett, Karen A.; Huamán, Z.; Zhang, D. P.; Schreuder, M.E.L.; Bonierbale, M.

doi:10.1111/j.1523-1739.2000.98543.x

Cited by 118 publications

(121 citation statements)

References 16 publications

Supporting

Mentioning

111

Contrasting

Unclassified

Order By: Relevance

“…GIS mapping has been successfully used in assessing biodiversity and in identifying areas of high diversity in Phaseolus beans (Jones et al, 1997); wild potatoes (Hijmans et al, 2001); horsegram (Sunil et al, 2008); Jatropha curcas (Sunil et al, 2009); linseed (Sivaraj et al, 2012); blackgram and Canavalia fatty acids .…”

Section: Diva-gis Analysismentioning

confidence: 99%

“…The DIVA-GIS is a Geographic Information System designed to assist in plant genetic resources (PGR) and biodiversity research communities to map the range of distribution of species of interest. It is particularly useful in elucidating the genetic, ecological and geographic patterns of the distribution of crops and wild species using locality (points) data available with gene banks, herbarium and natural history museum databases (Hijmans et al, 2001). The mapping could be extended to other related information on the material of interest, for example with respect to agronomic-traits in the present study.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of agro-morphological diversity and oil content in Indian linseed germplasm

Dikshit

2015

Grasas y Aceites

View full text Add to dashboard Cite

SUMMARY:One hundred and eleven accessions of linseed germplasm belonging to 32 districts of six states (Bihar, Chhattisgarh, Himachal Pradesh, Jharkhand, Madhya Pradesh and Maharashtra) in India were characterized for five qualitative and six quantitative traits. Significant variability was observed in the agro-morphological and qualitative traits. The Shannon diversity index varied from 0.23-0.70 and the phenotypic coefficient of variation ranged from 6.0% to 37.1%. IC 345425, an accession from Surgaon, Chandrapur, Maharashtra, was identified as promising for its high oil content (41.5%). The Pearson correlation matrix generated for the quantitative traits indicated that positive and high correlation was observed among days to 50% flowering and days to 80% maturity (0.9; P value <0.0001), plant height and seed weight (0.7; P value <0.0001), seed weight and oil% (0.6; P value <0.0001), seed weight and number of capsules per plant (0.5; P value <0.0001). Two major clusters were formed when the characterization data was subjected to Ward's minimum variance method. DIVA-GIS approaches for the analysis of the diversity in linseed germplasm were mapped for quantitative traits such as plant height, number of capsules per plant and seed oil content.KEYWORDS: DIVA-GIS; Diversity; Flax; Germplasm; India-Linseed RESUMEN: Análisis de la diversidad morfológica y contenido de aceite del germoplasma de linaza india. Ciento once accesiones de germoplasma de semillas de lino pertenecientes a 32 distritos de seis estados de la India (Bihar, Chhattisgarh, Himachal Pradesh, Jharkhand, Madhya Pradesh y Maharashtra) se caracterizaron mediante cinco determinaciones cualitativas y seis cuantitativas. Se observó una variabilidad significativa tanto en los rasgos cualitativos como cuantitativos. El índice de diversidad de Shannon varió entre 0,23-0,70 y el coeficiente de variación fenotípica varió entre 6,0 y 37,1 %. IC-345425, una accesión a partir Surgaon, Chandrapur, Maharashtra fue identificado como prometedora, por su alto contenido de aceite (41,5 %). La matriz de correlación de Pearson generado para los rasgos cuantitativos indicaron una correlación alta y positiva entre días a 50 % de floración y días a 80 % de maduración (0,9; valor p<0,0001), altura de planta y peso de la semilla (0,7; valor p<0,0001), peso de la semilla y porcentage de aceite (0,6; valor p<0,0001), peso de la semilla y número de cápsulas por planta (0,5; P valor <0,0001). Cuando los datos de caracterización se sometieron al método de la varianza se formaron principalmente dos grupos Se intentaron planteamientos DIVA-GIS para el análisis de la diversidad de germoplasma de linaza que fueron mapeados y fueron asignados a rasgos cuantitativos como la altura de planta, el número de cápsulas por planta y contenido de aceite de las semillas.

show abstract

Section: Diva-gis Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of agro-morphological diversity and oil content in Indian linseed germplasm

Dikshit

2015

Grasas y Aceites

View full text Add to dashboard Cite

show abstract

“…These data, commonly compiled from natural-history collections in museums, herbaria, and national biological-data record centers, are often recorded without a sampling strategy, and thus contain sampling bias Peterson 2002a, Kadmon et al 2004). Depending on the species, date of collection, and geographic location, the amount of data and its spatial accuracy can also be highly variable (Hijmans et al 2000, Loiselle et al 2003, Graham et al 2004. Bias and small sample sizes, in particular, have been shown to weaken model performance (Stockwell and Peterson 2002a, b, Kadmon et al 2003.…”

Section: Introductionmentioning

confidence: 99%

What Matters for Predicting the Occurrences of Trees: Techniques, Data, or Species' Characteristics?

Guisan¹,

Zimmermann²,

Elith³

et al. 2007

Ecological Monographs

327

252

View full text Add to dashboard Cite

Abstract. Data characteristics and species traits are expected to influence the accuracy with which species' distributions can be modeled and predicted. We compare 10 modeling techniques in terms of predictive power and sensitivity to location error, change in map resolution, and sample size, and assess whether some species traits can explain variation in model performance. We focused on 30 native tree species in Switzerland and used presenceonly data to model current distribution, which we evaluated against independent presenceabsence data. While there are important differences between the predictive performance of modeling methods, the variance in model performance is greater among species than among techniques. Within the range of data perturbations in this study, some extrinsic parameters of data affect model performance more than others: location error and sample size reduced performance of many techniques, whereas grain had little effect on most techniques. No technique can rescue species that are difficult to predict. The predictive power of speciesdistribution models can partly be predicted from a series of species characteristics and traits based on growth rate, elevational distribution range, and maximum elevation. Slow-growing species or species with narrow and specialized niches tend to be better modeled. The Swiss presence-only tree data produce models that are reliable enough to be useful in planning and management applications.

show abstract

“…Representation of plant taxa in gene banks is also subjected to species, species-area, hotspot and infrastructure biases that result in over-or under-representing certain taxa (Hijmans et al 2000). Under representation of threatened taxa may be linked to geographic rarity or recalcitrant seeds.…”

Section: Discussionmentioning

confidence: 99%

The conservation value of germplasm stored at the Millennium Seed Bank, Royal Botanic Gardens, Kew, UK

et al. 2018

View full text Add to dashboard Cite

The Millennium Seed Bank (MSB) Partnership, developed and managed by the Royal Botanic Gardens, Kew (RBG Kew), conserves propagules primarily from orthodox seed-bearing wild vascular plants. It is the largest ex situ conservation programme in the world, currently involving 96 countries and territories. Where possible, seeds are collected and conserved in the country of origin with duplicates being sent to RBG Kew's MSB for storage. In this paper we assess the conservation value of the germplasm stored at the MSB using both quantitative and qualitative methods. The MSB holdings represent a high quality, rich biological resource. Substantial and unique taxonomic diversity exists amongst the collections, representing 365 families, 5813 genera, 36,975 species and 39,669 taxa conserved. The collections cover a wide geographic range, originating from 189 countries and territories, representing all nine bio-geographic regions and all 35 biodiversity hotspots. The collections possess significant natural capital and population value: 32% of taxa, representing 49% of collections, have at least one identified use to humans; and 74% of taxa, representing 78% of collections, are either endemic, endangered (nationally or globally) and/or have an economic, ecological, social, cultural or scientific value. While 10% of taxa, representing > 8% of collections, are either extinct, rare or vulnerable to extinction at the global and/or national level, 20% of taxa, representing 13% collections, are endemic at the country or territory scale. Over the 17-year period since 2000 at least 11,182 seed Communicated by Daniel Sanchez Mata.This article belongs to the Topical Collection: Ex-situ conservation. Electronic supplementary materialThe online version of this article (http s://doi.org/10.1007 /s105 31-018-1497 -y) contains supplementary material, which is available to authorized users.

show abstract

Assessing the Geographic Representativeness of Genebank Collections: the Case of Bolivian Wild Potatoes

Cited by 118 publications

References 16 publications

Analysis of agro-morphological diversity and oil content in Indian linseed germplasm

Analysis of agro-morphological diversity and oil content in Indian linseed germplasm

What Matters for Predicting the Occurrences of Trees: Techniques, Data, or Species' Characteristics?

The conservation value of germplasm stored at the Millennium Seed Bank, Royal Botanic Gardens, Kew, UK

Contact Info

Product

Resources

About