Skip to main content
Erschienen in: Biodiversity and Conservation 8/2016

Open Access 13.05.2016 | Original Paper

Twenty-five years of international exchanges of plant genetic resources facilitated by the CGIAR genebanks: a case study on global interdependence

verfasst von: Gea Galluzzi, Michael Halewood, Isabel López Noriega, Ronnie Vernooy

Erschienen in: Biodiversity and Conservation | Ausgabe 8/2016

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This article analyses 25 years of data about international movements of plant genetic resources for food and agriculture (PGRFA), facilitated by the gene banks hosted by seven centres of the Consultative Group on International Agricultural Research. It identifies trends in the movements of PGRFA for use in research and development, and describes the diversity of those resources transferred over time. The paper also presents data on the number of countries involved in the global exchanges, analyses their development status and describes their role as providers and/or recipients, providing a picture of the breadth of these global exchanges. We highlight that it is primarily developing and transition economies that have participated in the flows, and that the transferred germplasm has been largely used within their public agricultural research and development programmes. We conclude that, when provided the opportunity of facilitated access, countries will use a wide diversity of germplasm from many other countries, sub-regions and continents as inputs into their agricultural research and development programmes. We highlight the importance of enabling the continuation of the non-monetary benefits from international access to germplasm. We discuss the implications for the process of development and reform of the multilateral system of access and benefit sharing under International Treaty on Plant Genetic Resources for Food and Agriculture.
Hinweise
Communicated by Anurag chaurasia.

Introduction

Plant genetic resources for food and agriculture (PGRFA) are the basic building blocks of crop improvement and adaptation and, by extension, of food security. As a result of the history of crop domestication and global dispersal and adaptation, all countries are now highly dependent upon plant genetic resources located (or originally collected from) beyond their borders. Global interdependence on plant genetic resources has been previously discussed (Crosby 1972, 1986; Diamond 1997; Fowler et al. 2001; Halewood et al. 2014; Mann 2011; SGRP 2011), and predictions have been made of increased future interdependence as a result of challenges such as climate change (Lane and Jarvis 2007; Burke et al. 2009; Jarvis et al. 2010; Fujisaka et al. 2011; Ramirez-Villegas et al. 2013) and the evolution of food systems and diets (Khoury et al. 2014). Global recognition of the policy significance of interdependence on PGRFA arguably reached its zenith in 2001 when ‘interdependence’ was explicitly included in Article 11 of the International Treaty on Plant Genetic Resources for Food and Agriculture (ITPGRFA) as one of two criteria—the other being relevance for food security—for including crops or forages in the multilateral system of access and benefit sharing (MLS).1
Through the MLS, ITPGRFA parties agree to create a global, virtual pool of genetic resources for 64 crops and forages (these are listed in the Treaty’s Annex 1). In addition to conservation, this germplasm is intended to be utilized for the purposes of training, breeding and research for food and agriculture. Member states agree to provide facilitated access to one another (including natural and legal persons within their borders) on the understanding that monetary benefits will be shared if the recipients incorporate materials in new, commercialized PGRFA products that are not available to others for research, training or breeding. The multilateral architecture of access and benefit sharing under the ITPGRFA was designed to reflect countries’ current and future interdependence on PGRFA. The system was meant to minimize transaction costs that could otherwise multiply beyond acceptable limits, given the magnitude of international exchanges of genetic resources that accompany agricultural research, development and plant breeding.
In recent years, ITPGRFA member states have expressed concerns that the MLS has not been functioning at the anticipated levels, either in terms of generating financial benefits by users to be shared through the international Benefit-Sharing Fund (BSF) or in terms of materials being made available to, and accessed through, the MLS. Based on this concern, the ITPGRFA’s Governing Body created the Ad Hoc Open Ended Working Group to Enhance the Functioning of the MLS. Its mandate is to develop a range of optional measures to both increase user-based payments and contributions to the BSF in a sustainable and predictable long-term manner and enhance the functioning of the Multilateral System by additional measures.
This article focuses on an issue at the heart of the MLS—the state of global interdependence on PGRFA. We hope that the data presented here will be useful within any process aimed at revising or reforming the terms and conditions of the MLS. It is critically important to keep interdependence in mind when developing policies concerning the conditions under which genetic resources can be accessed and used as well as the ways in which benefits derived from their use should be shared. Illustrating the volume, diversity and geographical spread of global flows of plant genetic resources mediated by Consultative Group on International Agricultural Research (CGIAR) centres, the findings highlight the benefits accrued by virtually all countries in the world—namely, being granted access to a rich variety of materials (and associated technology and information) otherwise unavailable within their own borders and difficult to access under bilateral conditions. The resulting conclusions highlight the importance of the system’s non-monetary modalities for sharing benefits, most of which have involved users in developing countries. We hope that such evidence will encourage efforts to maintain and enhance these mechanisms, in addition to improving the mechanisms associated with monetary payments to the BSF.

Data sources and methods

Data on the holdings, acquisitions and distributions of nine CGIAR genebanks was retrieved from the CGIAR’s System-wide Information Network on Genetic Resources (SINGER).2 A system-wide database such as SINGER has never been established for the distribution of germplasm from the CGIAR’s breeding programmes, and, therefore, our study focuses on genebank distributions only. We asked each of the genebank curators to validate the accuracy of the data stored in SINGER and/or to provide updates or integrations. In the end, we obtained validated or updated data for seven genebanks, which are those included in this study (Table 1). Given the magnitude of the distributions from the other centres whose data is not included in this research, i.e., CIMMYT, CIAT, IITA, the final conclusions regarding the extent of international interdependence would likely have been even stronger had their data been included.
Table 1
Total number of samples sent to national recipients from the seven CGIAR genebanks (1985–2009)
 
AfricaRice
Bioversity
CIP
ICARDA
ICRISAT
ILRI
IRRI
Samples distributed
38,963
13,436
84,380
246,026
418,934
30,830
166,681
Distribution data followed a standard format gathering information according to the fields shown in Table 2.
Table 2
Fields of information included in the distribution data from CGIAR genebanks
CGIAR centre
Transfer year
Accession number
Recipient country code
Genus
Recipient country name
Species
Recipient institute
Country of origin
Recipient last name
Biological status
Recipient first name
Recipient code
Recipient user type
Recipient region
Transfer date
Distribution records were available beginning in 1973 for some of the genebanks included in the study, but there were large gaps in the records until 1985 (due to data storage and reporting systems not being fully in place in all centres). Thereafter, the data were more uniform, which led to the decision to consider only the data from 1985 onwards. Since our focus was the germplasm sent to countries and within-country recipients, intra- and inter-CGIAR centre distributions were removed as well as those from CGIAR genebanks to the Svalbard Global Seed Vault. The total number of distributed samples shown in Table 1 was the basis for our analysis. These centres’ mandate crops (and their wild relatives) include key staples for worldwide food security, such as rice, tropical and dryland legumes and cereals, potatoes and other roots and tubers, bananas and plantains and tropical forages (see Appendix, Tables 6, 7 for details on the collections hosted at all CGIAR centres).
Various ways of measuring international PGRFA movements were explored. We considered the total number of samples distributed [a single sample consisting ideally of between 50 and 100 viable seeds or less vegetative propagules (CGKB 2014)], the number of accessions distributed (excluding the repeated distributions of the same accession) and the number of species distributed. The latter two statistics provide a picture of the diversity, rather than the sheer volume, of the flows.
Further analyses qualified the international germplasm flows facilitated by the genebanks using the number of countries from which the materials distributed were originally collected or improved, the number of recipient countries and types of recipient institutions, the number of genera and species distributed, and the type of materials exchanged. Countries were classified based on their development status according to the United Nations classification system (UN 2012), which helped to analyse the germplasm contributions according to the economy of the donor or recipient country. All data handling and analyses were performed in R (R Development Core Team 2011).

Results and discussion

Global flows of PGRFA, 1985–2009: volumes and diversity

Between 1985 and 2009, germplasm conserved in the selected CGIAR genebanks was distributed to a broad range of users. According to the available data, 999,250 samples of 262,872 accessions belonging to 1470 different plant species were distributed during that period. The average number of samples distributed per year (39,970) is below that of the U.S. National Plant Germplasm System (NPGS), where total annual distributions have increased from around 120,000 (Bretting 2007) to more than 200,000 (Heisey and Day Rubenstein 2015) over the past few years. About 30 % of NPGS yearly distributions are typically to requestors from outside the U.S. However, in making this comparison, our lack of data from three important CGIAR genebanks should be kept in mind. Notwithstanding the missing data, the yearly volumes described are much higher than the average number of distributions of other important germplasm systems, such as the Russian Vavilov Institute (6400) (FAO 2009), the German Institute of Plant Genetics and Crop Plant Resources (4400 of barley only) (Ullrich 2011), the Centre for Genetic Resources in the Netherlands (2500) (Centre for Genetic Resources 2008), the Brazilian Empresa Brasileira de Pesquisa Agropecuária (1800) (Da Silva Mariante et al. 2009), the Institute of Crop Germpasm Resources in China (1550) (ICGR 2015), the Plant Genetic Resources Institute of Canada (1500) (Fowler and Hodgkin 2004). These numbers are useful for providing a general idea of the CGIAR’s relative contribution on the international scene, but they should be considered with caution because of the differences in the reporting periods and the limitations of our data.
Virtually all countries in the world have been involved in the exchange of germplasm. The materials listed in Table 1 were originally collected in, or provided by, at least 189 countries and distributed to at least 191 countries. In addition to distributions from the various genebanks, large amounts of germplasm in different stages of improvement have been sent out by the centres’ breeding programmes, although no system-wide mechanism has ever been set up to document these distributions over time. However, data provided by the centres3 for the fourth session of the ITPGRFA’s Governing Body indicate that from August 2008 to December 2009 these breeding programmes sent out over 500,000 samples (SGRP 2011). This amount points to the outstanding contribution that the CGIAR breeders make to international flows of germplasm, in addition to the centres’ genebanks.
According to data available through the GENESYS portal, which gathers information on numerous national and international genebanks, the international ex situ collections hosted by the CGIAR centres currently include 712,834 accessions of their mandate crops and related gene pools, originally collected from a vast number of countries (Appendix, Tables 6, 7, 8). The genebanks that were analysed in this study, currently host 445,785 accessions of 2848 species.4 Our data suggest that samples of roughly half the diversity held have been distributed at least once by these genebanks.
During the period analysed, there appears to be have been a slight downward trend in the overall number of samples distributed, as already highlighted elsewhere (Halewood et al. 2013). A similar decline was observed in the diversity of the materials distributed, which was measured according to the number of accessions distributed and the number of species represented (Table 3). This trend may be attributed to the fact that the requests became more targeted as more characterization and evaluation data became available, which led to breeders and researchers making requests for smaller sets of materials (Halewood et al. 2013; López Noriega et al. 2013a). For those CGIAR genebanks actively distributing sets of materials for international adaptation trials, the decline could also be due to decreases in the funding made available for these multi-location field operations. It could be that some of the requests that were traditionally made to the CGIAR are now being directed to other genebanks. In addition to institutions that have always been at the forefront of international distributions, alongside the CGIAR, such as the US Department of Agriculture (USDA), a number of national institutions in other countries have been increasing their collections and may be receiving more germplasm requests (FAO 2010). In addition, some private sector users—those most likely to apply some form of intellectual property rights to the final PGRFA products—may have refrained in recent years from requesting germplasm from the CGIAR because of their reluctance to accept the benefit-sharing clauses of the MLS (Halewood and Nnadozie 2008). It is important to note that traditionally these companies have been an extremely small portion of the users of CGIAR materials, as described later.
Table 3
Results of the models used for analysing trends in the overall flows over time (1979–2009)
Parameter/year
Estimate
P value
Method
Samples
−0.031
<2e−16
Generalized linear model with Poisson error distribution
Accessions
−0.065
<2e−16
Generalized linear model with Poisson error distribution
Species
−0.013
<2e−16
Generalized linear model with Poisson error distribution

Types of materials and frequency of distribution

According to GENESYS, over 50 % of the total germplasm distributed by the CGIAR genebanks over the 25 years analysed are landraces or traditional cultivars, which are predominant within these collections (Fowler et al. 2001; Genesys 2014). Breeding and research lines constitute less than 20 % of the materials distributed, while advanced or improved cultivars comprise only 7 % of the distributions. Wild and weedy relatives amount to 12 % of the samples sent out by the analysed genebanks, not only suggesting their importance as sources of useful traits but also reflecting the greater difficulty of using them in breeding compared to other materials (Fig. 1). The decision about which materials to conserve in the long term is made by each centre independently, often following the outcomes of economic analyses on the costs and benefits of conserving materials in genebanks or breeding programmes (Koo et al. 2004). The data in this study reveal that most centres give priority for long-term storage in their genebanks to materials that belong to the primary genepools – that is, the landraces and wild relatives of their mandate crops. This strategy also reflects the fact that all centres with genebanks also have breeding programmes that actively exchange research, breeding and improved lines with partners worldwide, making the conservation of these sets by the genebank neither necessary nor efficient. However, research, breeding and advanced lines are sometimes included in long-term collections, when the properties, or the use of the material, justify it. For instance, this may be the case with materials that have accumulated unique genetic properties (for example, allele combinations), those that are laborious to reproduce (for example, inter-specific hybrids) or those that are commonly used as benchmark varieties in evaluation trials.
Based on the number of samples per accession sent to recipients, there appears to be enormous variation in the popularity of any single accession. Almost 60 % of the accessions in the dataset have been distributed between two and ten times, while only 5.7 % (150 accessions) have been distributed more than 100 times. Most of the latter come from ILRI, CIP and ICRISAT and have been distributed to an average of over 38 countries (SD 20.5) (see Appendix, Table 9 for details on the top 50 most ‘popular’ accessions of our dataset). More than half of these frequently distributed materials are improved lines, whereas landraces, wild relatives and, to a lesser extent, breeding materials constitute the bulk of the accessions transferred less frequently. Among the possible reasons for the ‘popular’ materials to be more frequently requested (that is, by many institutions worldwide) is the fact that the characterization and/or evaluation data already accumulated on them increases their value for breeding and research. This information, in turn, facilitates their use including in institutions and countries with limited capacity or infrastructure for conducting lengthy and costly pre-breeding research using non-adapted populations and wild relatives (FAO 2010).

Providers and recipients

Of the total 189 countries from which material distributed by the seven CGIAR genebanks was obtained, 112 are developing countries, 54 are developed countries and 23 have economies in transition. Of the total 191 recipients, 116 are developing countries, 19 are economies in transition and 56 are developed countries. Data for developing countries and countries with economies in transition has been combined in our analyses. Both developed and developing countries are net recipients—that is, they receive more diversity than they contribute to international gene banks. While this ‘sink’ behaviour is more evident for developed countries, which tend to harbour comparatively less indigenous genetic diversity in their territories, the majority of global exchanges of germplasm mediated by the CGIAR genebanks is distributed South to South—that is, between developing countries (Fig. 2).
In their analysis of the flows from six of the CGIAR genebanks and from the USDA’s National Plant Germplasm System (NPGS) between 1990 and 1999, Smale and Kelly Day Rubenstein (2002) also observed that a predominance of developing countries and transition economies were providers and recipients. So too did the CGIAR’s System-wide Genetic Resources Programme (2011) in its biannual reports to the Governing Body of the ITPGRFA. Tables 4a, b provide more detail on the amount, diversity and geographical coverage of the distributions facilitated by the international genebanks for the top 25 provider countries and the top 25 recipient countries.
Table 4
Top 25 provider countries (including total number of samples, genera and accessions originally sourced in these countries and circulated by the CGIAR genebanks analysed in this study as well as the number of recipient countries) and top 25 recipient countries (total number of samples, genera and accessions received as well as the number of countries where these materials were originally sourced) (1985–2009)
Provider country
Total samples provided
Accessions provided
Genera provided
Recipient countries
Recipient country
Total samples received
Accessions received
Genera received
Provider countries
India
188,911
48,635
35
144
India
284,454
115,849
70
181
Peru
67,899
16,216
23
158
United States
45,992
39,963
97
178
Ethiopia
40,143
13,683
94
120
China
33,690
18,664
48
151
United States
36,652
6294
30
156
Ethiopia
28,863
17,572
175
150
Iran
29,829
9779
26
87
Australia
20,218
17,566
63
150
Turkey
29,579
9634
29
83
Japan
17,628
12,022
32
141
Syrian Arab Republic
26,029
7487
27
78
United Kingdom
17,231
14,283
89
144
Sudan
24,262
3457
17
61
Morocco
16,362
14,618
38
97
The Philippines
21,626
4016
7
109
The Philippines
16,332
8798
50
107
Côte d’Ivoire
20,494
3037
4
78
Tunisia
13,399
9706
18
70
China
18,559
7225
21
125
Iran
13,083
12,301
18
135
Nigeria
16,060
3462
27
126
Austria
12,703
12,657
24
92
Zimbabwe
15,477
4500
19
62
Italy
12,345
10,003
36
116
Cameroon
15,216
2942
13
67
Syrian Arab Republic
10,598
8610
19
92
Jordan
12,328
3319
20
66
South Korea
10,195
8423
26
137
Morocco
12,257
4106
34
69
Russia
9614
8636
12
92
Bangladesh
12,092
3839
14
94
Pakistan
9512
7901
64
139
Indonesia
11,696
3774
12
93
Turkey
9295
7221
25
96
Uganda
11,172
2565
13
103
Canada
9160
7709
38
121
Tunisia
10,799
3523
22
74
Indonesia
8965
8395
32
110
Pakistan
10,587
2950
23
99
Peru
7953
4053
33
75
Kenya
10,509
2205
38
104
Egypt
7921
6685
54
126
Algeria
9743
3522
24
65
Germany
7276
6253
63
130
Tanzania
8438
2132
37
96
Brazil
6903
6030
34
129
Nepal
7725
2745
19
73
Thailand
6821
4899
27
103
Almost all of the top providers listed in Table 4 are developing countries. Many of them are important centres of origin, domestication or diversification of the crops curated by the genebanks considered in this study, including India (rice, millet), Peru (potatoes), Syria and Turkey (wheat and barley), China (rice) and a number of African countries (particularly for tropical forages). Many of the top recipients are also developing countries, and, again, many of them are centres of origin or diversity of crops or forages that they have requested, underscoring the fact that even diversity-rich countries are not self-sufficient in terms of their PGRFA needs. As an example, the difference in the amount of germplasm flowing in and out of India, compared to other countries, stands out as very significant. India has provided and received massive quantities of germplasm. Interestingly, a significant percentage of the materials originally collected in, or obtained from, India ends up going back to Indian recipients (59 % of the samples and over 70 % of the accessions), which makes it the largest recipient of CGIAR-hosted materials originally obtained from within its own borders. A high percentage of ‘reabsorption’ of their own materials through CGIAR-mediated flows are also recorded for Tunisia and Morocco (48 and 42 % respectively), the Philippines (37 %), Iran and Jordan (30 and 25 %) and others to lesser extents. These observations highlight the additional benefit of germplasm deposited in international collections since it provides long-term secure conservation and availability of quality material (and often value-added characterization and evaluation data) originating from one’s own territory, in addition to access to diversity from hundreds of other countries. The latter benefit is particularly relevant for those countries with limited capacity to establish and maintain national conservation programmes for their own local materials.
Differences exist not only in the amount, but also in the type of materials provided by developed and developing countries. While developed countries provide an overall lower quantity of materials compared to developing countries, they contribute a proportionally higher share of materials for which some formal research, pre-breeding or other form of improvement has been conducted. In total, 27 % of the samples ‘distributed’ by our seven CGIAR genebanks from developed countries were research materials and improved/elite lines (with the United States supplying as much as 80 % of this category); only 14 % of the samples distributed from developing and transition countries belonged to these categories. On the recipient side, the share of germplasm that carried some degree of research and improvement flowing into developing countries and transition economies is 30 % of the overall incoming samples, while it is 14 % for developed countries.
In both developed and developing nations, public institutions (including the National Agricultural Research System (NARS), universities and genebanks) are by far the predominant recipients of CGIAR materials (Table 5; Fig. 3). These public sector recipients are located in developing countries in over 75 % of the cases. The share of samples sent to commercial companies is only around 3 % of the total, and the recipients are primarily (77 %) in developing countries.
Table 5
Type of recipients, samples and accessions and percentages over the total
Recipient type
Samples received
Percentage
Accessions received
Percentage
NARS
573,456
57.39
374,714
61.87
University
297,034
29.73
161,845
26.72
Genebank
53,198
5.32
33,967
5.61
Commercial company
32,020
3.20
10,985
1.81
Other
24,739
2.48
13,650
2.25
Non-governmental organization
14,821
1.48
7905
1.31
Regional organization
2727
0.27
2054
0.34
Farmer
1255
0.13
528
0.09
These findings are also consistent with those of Smale and Day Rubenstein (2002) who found that most recipients of germplasm from the US NPGS, another important worldwide facilitator of PGRFA for research and breeding, were in the public sector. The volume and diversity of the PGRFA flows described in this study, albeit only a small sample of worldwide exchanges, demonstrate the extent of countries’ interdependence on PGRFA for crop improvement and, ultimately, food security. While acknowledging the limits of our dataset, we believe that the conclusions regarding the extent of international interdependence would likely have been even stronger had the data from important genebanks such as those at CIMMYT, CIAT and IITA been included. The emerging picture confirms an established description of modern agriculture as an interdependent network of seed and germplasm sources, in which very few countries or farming systems in the world do not rely to some degree on the international system that moves crop germplasm, breeding lines and improved varieties across international borders (Duvick 1984).
Analyses by other authors confirm these patterns, describing how crop improvement has benefited from access to a wide range of materials with different origins. Fowler, Smale and Gaiji (2001) undertook an analysis of CGIAR data focusing on a different time frame and different measures than those presented here. Smale et al. (2002) used the case of spring bread wheat released by national programmes in developing countries. Warburton et al. (2006) and Dreisigacker et al. (2005) looked at synthetic hexaploids to illustrate the significance of access to wild relatives from centres of diversity in wheat improvement. Voysest et al. (2003) took the case of beans in Latin America (Fowler et al. 2001; Smale et al. 2002; Voysest et al. 2003; Dreisigacker et al. 2005; Warburton et al. 2006). Additional studies have focused on those countries that are the centres of crop diversity. Rejesus et al. (1996) reported that 45.6 % of the germplasm used by wheat breeders in Western Asia, the Vavilov centre for the species, comes from international sources. Evenson and Gollin (1997) documented the dependence of Asian countries, including the Vavilov-centre countries such as India, Burma, Bangladesh, Nepal and Vietnam, on IRRI for rice germplasm of different provenance (65.0 % in India and 98.1 % in Vietnam) (Rejesus et al. 1996; Evenson and Gollin 1997). All of this evidence points to the ‘international public good’ nature of the materials held and made available by the CGIAR as well as by other actors who make such materials available. It highlights the importance of supporting the continuation and enhancement of conservation as well as the internationally facilitated sharing of germplasm within the framework of the ITPGRFA.

Conclusions

It is clear that access to globally pooled genetic resources is a fundamentally important benefit that all countries have historically exploited when systems were set up to facilitate such access. Any effort to improve the MLS must be guided by the necessity of supporting and improving countries’ ability to further capitalize on this benefit. This is particularly true considering the contemporary challenges associated with climate change (Fujisaka et al. 2011), population growth and the harmonization of diets across the world (Khoury et al. 2014). While acknowledging the importance of improving the monetary benefit-sharing mechanisms, we believe that one should not lose sight of the need to maintain the non-monetary benefit-sharing mechanisms when evaluating the effectiveness of the MLS and considering options for its reform. Significant knowledge and opportunities for crop improvement accompany the materials distributed by the CGIAR genebanks, so focusing exclusively on the monetary benefits that can potentially result from germplasm flows represent too narrow a view of its overall impact. Indeed, it has been argued that non-monetary benefits from the MLS (as outlined in Articles 13.1 and 13.2(a)–(c) of the ITPGRFA) can generate much greater economic return than developing countries would ever gain through the BSF.
With respect to monetary benefit sharing, it is important to underscore the fact that the primary users of germplasm from the CGIAR and the MLS have been public sector organizations (in developing countries) rather than private sector entities. Indeed, it has been pointed out that a crucial factor that determines the demand for genetic resources in the seed and crop protection industries is the effort required to turn them into usable materials. Genetic resources that widen a company’s gene pool, but without the identified properties of interest, are typically considered to have little commercial value since they require considerable investment and the return on investment is often risky (Smolders 2005). Although new technology can assist in the search for a specific trait, the expense of doing so is generally prohibitive, particularly for smaller companies (Laird and Wynberg 2006). Larger companies that would most likely trigger the mandatory financial benefit-sharing provisions associated with the MLS tend to opt out of receiving materials from the system (Halewood and Nnadozie 2008). These kinds of reasons likely underlie the failure of efforts to ‘privatize’ monetary benefit sharing through the adoption of mechanisms for mandatory payments from companies based on sales of products that incorporate materials from the MLS.
We believe that some other approach to monetary benefit sharing, linked to the operation of the MLS, is necessary. Such an approach should more closely reflect the public goods nature of PGRFA as well as the historical development of the international and national collections that host most of the materials that do, and will, constitute the MLS. It should also be as simple as possible, and less administratively burdensome on both the providers and users of PGRFA, to encourage, rather than discourage, participation. In particular, it could be useful not to link the collection of financial benefits to the privatization of products incorporating materials from the MLS. Rather, it could be governments or public authorities which devise means to assume the costs of the MLS’ proper functioning, in a more familiar form of state assumed responsibility on publically valuable assets. Governments could then decide if and how they would need to recoup some of those costs; one option, which was actually discussed in early Treaty days, could be some sort of contribution from the commercial sector based on their annual seed sales. This approach would also be in line with the way public organizations have historically supported the collections.
Of course, there are other ways to improve and enhance the functioning of the MLS and to acknowledge countries’ increasing interdependence on PGRFA, beyond adopting a new approach to monetary benefit sharing. No matter how well the system is designed or reformulated, there are practical, institutional and capacity limitations for all countries and all potential beneficiaries (from farmers to breeders and researchers) to take advantage of the MLS, even once their legal ability to do so has been established. This may be particularly true in some developing countries. Capacities and strong partnerships need to be established among the broadest possible range of stakeholders, enabling them to recognize specific trait-based needs, identify where the potentially useful materials could be within the MLS, and request, receive and use the materials concerned. A more proactive and widespread participation would contribute to a greater willingness to voluntarily introduce materials into the MLS, increasing the diversity available to agricultural research and development and giving rise to additional monetary and non-monetary benefits to be shared.
It has been argued that capacity building, technology transfer and information exchange in the context of the MLS should take place in close relation to other ITPGRFA objectives, particularly the recognition and protection of farmers’ rights (Article 9). Indeed, a number of countries have flagged their concern about the MLS having too narrow a focus to the detriment of issues that are more closely related to farmers and their role in on-farm conservation (López Noriega et al. 2013b). After all, most of the ex situ materials that are being, or will be, circulated globally thanks to the MLS are landraces or naturally adapted resources developed and conserved by small farmers, often from developing countries. Their role today is ever more crucial for allowing the continued conservation, evolution and development of genetic resources with the potential to adapt to changing climates. Greater synergy between the architecture of the MLS and the implementation of farmers’ rights would also contribute to moving the ITPGRFA forward as a package of integrated measures, building confidence among a wider range of key stakeholders and truly reflecting global interdependence.

Acknowledgments

The authors are grateful to Ruaraidh Sackville Hamilton (IRRI), Daniel Debouck (CIAT), Evert Thomas (Bioversity International), Colin Khoury (CIAT) and Anne Bjorkman (Wageningen University), for their valuable suggestions and analytical inputs. They also wish to thank those CGIAR genebank curators, David Ellis (CIP), Ruaraidh Sackville Hamilton (IRRI), Jean Hansen (ILRI), Marie-Noelle Ndjiondjop (Africa Rice), and Ines Van Denhouwe (Bioversity International), who validated the data presented in the paper or corrected it by sharing internal data.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Anhänge

Appendix

See Tables 6, 7, 8 and 9.
Table 6
Current numbers of accessions of plant germplasm held by the genebanks of the CGIAR system
Data from Genesys, http://​www.​genesys-pgr.​org (accessed on 20 November 2014)
Centre
Number of accessions held
Africa Rice
26,098
Bioversity International
1516
CIAT
64,721
CIMMYT
164,320
CIP
16,061
ICARDA
147,076
ICRAF
2005
ICRISAT
119,524
IITA
27,232
ILRI
20,229
IRRI
124,052
Table 7
Plant genera represented in the genebank collections of all CGIAR centres (genera represented by less than 50 accessions are grouped as “other”; numbers of accessions refer to those received and reported by centres over time and may overestimate the current living material available for distribution in each genebank)
Data from Genesys, http://​www.​genesys-pgr.​org (accessed on 20 November 2014)
Collection
Genus
Number of accessions
Africa Rice
Oryza
131,840
Other
22
Bioversity
Musa
1525
Ensete
4
CIAT
Phaseolus
36,124
Manihot
5458
Stylosanthes
4276
Desmodium
3561
Centrosema
2874
Aeschynomene
1209
Macroptilium
1052
Vigna
1050
Zornia
967
Brachiaria
601
Panicum
563
Galactia
561
Calopogonium
553
Rhynchosia
389
Teramnus
372
Chamaecrista
339
Desmanthus
325
Crotalaria
274
Alysicarpus
259
Pueraria
255
Canavalia
215
Dioclea
199
Leucaena
198
Indigofera
184
Flemingia
179
Uraria
176
Arachis
171
Clitoria
157
Lablab
155
Paspalum
155
Tephrosia
153
Phyllodium
139
Cajanus
135
Tadehagi
108
Andropogon
93
Pseudarthria
72
Neonotonia
68
Dendrolobium
62
Sesbania
62
Cratylia
52
Other
926
CIMMYT
Triticum
103,780
Zea
27,279
Triticosecale
16,004
Hordeum
14,221
Aegilops
1316
X Triticoaegilops
991
Secale
438
Tripsacum
156
X Aegilotriticum
128
Other
7
CIP
Ipomoea
7783
Solanum
7112
Oxalis
520
Ullucus
435
Tropaeolum
54
Other
157
ICARDA
Triticum
37,214
Hordeum
31,619
Vicia
16,151
Cicer
14,906
Lens
12,463
Medicago
9418
Pisum
6110
Trifolium
5010
Aegilops
4257
Lathyrus
4184
Astragalus
956
Onobrychis
733
Avena
593
Scorpiurus
500
Hippocrepis
319
Trigonella
280
Coronilla
251
Lotus
246
Hymenocarpos
223
Melilotus
219
Lupinus
134
Elymus
81
Hedysarum
81
Brachypodium
78
Secale
73
Other
977
ICRAF
Prosopis
929
Calycophyllum
390
Guazuma
390
Leucaena
80
Gliricidia
55
Desmodium
52
Other
109
ICRISAT
Sorghum
37,901
Pennisetum
22,200
Cicer
20,140
Arachis
15,440
Cajanus
13,289
Eleusine
5957
Setaria
1542
Panicum
1306
Echinochloa
749
Paspalum
665
Rhynchosia
290
Other
45
IITA
Vigna
18,237
Dioscorea
3169
Manihot
2984
Glycine
1749
Zea
798
Musa
150
Sphenostylis
145
Other
0
ILRI
Trifolium
1649
Vigna
1161
Stylosanthes
1160
Leucaena
801
Sesbania
674
Indigofera
669
Brachiaria
663
Alysicarpus
516
Neonotonia
508
Rhynchosia
501
X Triticale
459
Macroptilium
431
Panicum
423
Tephrosia
395
Lablab
374
Centrosema
323
Teramnus
322
Cenchrus
294
Zornia
283
Phaseolus
282
Vicia
258
Digitaria
255
Medicago
252
Acacia
248
Pennisetum
245
Crotalaria
237
Paspalum
223
Cytisus
220
Chloris
194
Glycine
192
Galactia
188
Desmodium
177
Lathyrus
166
Cajanus
164
Urochloa
162
Chamaecrista
160
Aeschynomene
158
Calopogonium
152
Avena
147
Gliricidia
141
Eragrostis
136
Cynodon
130
Lotononis
130
Setaria
130
Pisum
126
Clitoria
122
Andropogon
109
Desmanthus
107
Echinochloa
93
Pseudarthria
93
Bothriochloa
89
Senna
89
Uraria
89
Pueraria
76
Lolium
75
Sorghum
72
Cassia
71
Hordeum
71
Festuca
64
Argyrolobium
57
Erythrina
57
Lupinus
53
Amaranthus
51
Cymbopogon
51
Hyparrhenia
51
Dolichos
50
Other
2160
IRRI
Oryza
124,052
Other
22
Table 8
Countries from which accessions held by CGIAR genebanks were originally collected or improved
Data from Genesys, http://​www.​genesys-pgr.​org (accessed on 20 November 2014)
Country code in Genesys
Country
Number of accessions in the CGIAR genebanks
AFG
Afghanistan
4962
ALB
Albania
75
DZA
Algeria
3828
AGO
Angola
110
ATG
Antigua and Barbuda
116
ANT
Antilles
9
ARG
Argentina
3991
ARM
Armenia
1304
AUT
Austria
564
AZE
Azerbaijan
1723
BHS
Bahamas
4
BHR
Bahrain
2
BRN
Baker Island
215
BGD
Bangladesh
8009
BRB
Barbados
57
BLR
Belarus
324
BEL
Belgium
347
BLZ
Belize
376
BEN
Benin
1455
BTN
Bhutan
507
BOL
Bolivia
3289
BIH
Bosnia and Herzegovina
59
BWA
Botswana
1078
BRA
Brazil
14,765
IOT
British Indian Ocean Territory
1
VGB
British Virgin Islands
55
BGR
Bulgaria
1570
BFA
Burkina Faso
2995
MMR
Burma
3550
BDI
Burundi
867
KHM
Cambodia
4885
CMR
Cameroon
5320
CAN
Canada
914
CPV
Cape Verde
22
CAF
Central African Republic
849
TCD
Chad
909
CHL
Chile
2431
CHN
China
15,294
COL
Colombia
12,829
COM
Comoros
8
COG
Congo
334
COD
Congo (Democratic Republic of)
687
COK
Cook Islands
7
AUS
Coral Sea Islands
2172
CRI
Costa Rica
1543
CIV
Cote d’Ivoire
10,018
HRV
Croatia
63
CUB
Cuba
980
CYP
Cyprus
1103
CZE
Czech Republic
556
DNK
Denmark
206
DJI
Djibouti
6
DOM
Dominican Republic
497
ECU
Ecuador
3934
EGY
Egypt
1831
SLV
El Salvador
562
GNQ
Equatorial Guinea
28
ERI
Eritrea
97
EST
Estonia
10
ETH
Ethiopia
22,113
FLK
Falkland Islands (Islas Malvinas)
2
FSM
Federated States of Micronesia
7
FJI
Fiji
53
FIN
Finland
91
YUG
Former Yugoslavia
222
FRA
France
1136
GUF
French Guiana
20
PYF
French Polynesia
2
GAB
Gabon
100
GMB
Gambia
695
PSE
Gaza Strip
129
GEO
Georgia
1230
DEU
Germany
2357
GHA
Ghana
2006
GRC
Greece
3921
GRD
Grenada
50
GLP
Guadeloupe
62
GUM
Guam
9
GTM
Guatemala
4447
GIN
Guinea
1678
GNB
Guinea-Bissau
151
GUY
Guyana
156
HTI
Haiti
233
HND
Honduras
1476
HKG
Hong Kong
21
HUN
Hungary
1625
IND
India
44,216
IDN
Indonesia
12,087
IRN
Iran
21,347
IRQ
Iraq
1652
IRL
Ireland
3
ISR
Israel
1663
ITA
Italy
2720
JAM
Jamaica
189
JPN
Japan
2555
JOR
Jordan
5023
KAZ
Kazakhstan
613
KEN
Kenya
4048
KIR
Kiribati
1
KGZ
Kyrgyzstan
226
LAO
Laos
15,642
LVA
Latvia
32
LBN
Lebanon
2208
LSO
Lesotho
587
LBR
Liberia
3616
LBY
Libya
762
LTU
Lithuania
38
MAC
Macau
1
MKD
Macedonia
766
MDG
Madagascar
4296
MWI
Malawi
3214
MYS
Malaysia
4832
MDV
Maldives
23
MLI
Mali
4850
MLT
Malta
35
MTQ
Martinique
17
MRT
Mauritania
162
MUS
Mauritius
31
MEX
Mexico
77,448
MDA
Moldova
94
MNG
Mongolia
232
MNE
Montenegro
43
MSR
Montserrat
11
MAR
Morocco
4989
MOZ
Mozambique
413
BUR
Myanmar
323
NAM
Namibia
1546
NPL
Nepal
5858
NLD
Netherlands
780
NCL
New Caledonia
11
NZL
New Zealand
117
NIC
Nicaragua
646
NER
Niger
4983
NGA
Nigeria
14,636
NIU
Niue
4
PRK
North Korea
2592
NOR
Norway
29
OMN
Oman
324
PAK
Pakistan
5604
PLW
Palau
2
VUT
Palestine
3
PAN
Panama
1000
PNG
Papua New Guinea
991
PRY
Paraguay
1375
PER
Peru
14,412
PHL
Philippines
9224
POL
Poland
426
PRT
Portugal
2381
PRI
Puerto Rico
364
REU
Reunion
1
ROU
Romania
572
RUS
Russia
3529
SUN
Russia
1259
RWA
Rwanda
874
KNA
Saint Kitts and Nevis
33
LCA
Saint Lucia
37
VCT
Saint Vincent and the Grenadines
54
WSM
Samoa
2
SMR
San Marino
3
SAU
Saudi Arabia
84
SEN
Senegal
3540
SRB
Serbia
99
SYC
Seychelles
3
SLE
Sierra Leone
1997
SGP
Singapore
6
SVK
Slovakia
105
SVN
Slovenia
8
SLB
Solomon Islands
56
SOM
Somalia
562
ZAF
South Africa
2138
KOR
South Korea
2153
ESP
Spain
3567
LKA
Sri Lanka
2740
SDN
Sudan
3528
SUR
Suriname
188
SWZ
Swaziland
276
SWE
Sweden
554
CHE
Switzerland
1102
SYR
Syria
10,776
TWN
Taiwan
3075
TJK
Tajikistan
2275
TZA
Tanzania
4094
THA
Thailand
7870
TGO
Togo
2817
TON
Tonga
15
TTO
Trinidad and Tobago
201
TUN
Tunisia
4382
TUR
Turkey
16,775
TKM
Turkmenistan
587
TUV
Tuvalu
1
UGA
Uganda
3532
UKR
Ukraine
1610
ARE
United Arab Emirates
4
GBR
United Kingdom
801
USA
United States
12,969
UNK
Unknown
6870
URY
Uruguay
1229
UZB
Uzbekistan
987
VEN
Venezuela
4075
VNM
Vietnam
3787
VIR
Virgin Islands
17
YEM
Yemen
2816
ZMB
Zambia
2733
ZWE
Zimbabwe
5717
Table 9
Top 50 most popular accessions of our distribution dataset (based on how many samples of each accession have been distributed), with information on the distributing centre, genus, frequency of distribution, number of recipient countries, biological status and country of origin. Data elaborated from SINGER
Accession number
Centre
Genus
Frequency of distribution
Number of recipients
Biological status
Country of origin
328
IRRI
Oryza
321
42
Landrace
Philippines
CIP 985003
CIP
Solanum
312
76
Improved
Peru
10865
ILRI
Sesbania
268
66
Weedy/wild
Unknown
104
ILRI
Desmodium
253
51
Improved
Australia
CIP 720088
CIP
Solanum
252
101
Improved
Argentina
4
ILRI
Stylosanthes
247
53
Improved
Colombia
69
ILRI
Macroptilium
247
59
Improved
Unknown
4918
ICRISAT
Cicer
246
13
Improved
India
5159
IRRI
Oryza
246
21
Landrace
Philippines
30333
IRRI
Oryza
245
23
Landrace
Philippines
6765
ILRI
Desmodium
240
50
Improved
Unknown
140
ILRI
Stylosanthes
232
49
Improved
Brazil
CIP 379706.27
CIP
Solanum
220
88
Improved
Peru
70
ILRI
Leucaena
219
55
Improved
Unknown
30416
IRRI
Oryza
213
41
Improved
Philippines
ITC0249
Bioversity
Musa
213
50
Weedy/wild
Unknown
75
ILRI
Stylosanthes
212
50
Improved
Venezuela
ITC0504
Bioversity
Musa
212
77
Improved
Unknown
ITC1123
Bioversity
Musa
212
67
Landrace
Unknown
599
IRRI
Oryza
210
18
Breeding/research
Philippines
CIP 378017.2
CIP
Solanum
210
88
Breeding/research
Peru
CIP 720087
CIP
Solanum
209
91
Improved
Argentina
6756
ILRI
Macrotyloma
208
51
Improved
Unknown
7035
ICRISAT
Cajanus
207
16
Improved
India
CIP 374080.5
CIP
Solanum
203
67
Improved
Peru
CIP 800827
CIP
Solanum
199
70
Improved
United States
CIP 978001
CIP
Solanum
195
54
Breeding/research
Peru
4973
ICRISAT
Cicer
194
14
Improved
India
6984
ILRI
Medicago
179
37
Improved
Unknown
10320
IRRI
Oryza
178
30
Improved
Philippines
12048
IRRI
Oryza
178
38
Other
Guinea
ITC0506
Bioversity
Musa
178
74
Improved
Unknown
27748
IRRI
Oryza
177
29
Landrace
Thailand
71
ILRI
Leucaena
176
43
Improved
Unknown
CIP 978004
CIP
Solanum
176
64
Breeding/research
Peru
66970
IRRI
Oryza
175
38
Improved
Philippines
CIP 984001
CIP
Solanum
174
60
Breeding/research
Peru
167
ILRI
Stylosanthes
173
51
Weedy/wild
Venezuela
147
ILRI
Lablab
169
42
Improved
Unknown
17159
ICRISAT
Cicer
169
7
Weedy/wild
Turkey
5003
ICRISAT
Cicer
169
12
Improved
India
15036
ILRI
Sesbania
167
54
Improved
Uganda
6633
ILRI
Chloris
167
40
Improved
Unknown
11575
ILRI
Cajanus
163
50
Weedy/wild
Unknown
15019
ILRI
Sesbania
163
53
Weedy/wild
DR Congo
23364
IRRI
Oryza
163
29
Landrace
Philippines
ITC0505
Bioversity
Musa
163
68
Improved
Unknown
CIP 980003
CIP
Solanum
159
54
Breeding/research
Peru
15632
ICRISAT
Cajanus
158
5
Weedy/wild
India
312
ILRI
Desmanthus
157
42
Weedy/wild
Belize
Fußnoten
1
International Treaty on Plant Genetic Resources for Food and Agriculture, 29 June 2004, http://​www.​planttreaty.​org/​content/​texts-treaty-official-versions (accessed 15 December 2015).
 
2
SINGER has been discontinued, with much of its data and functionality—minus distribution data—incorporated into GENESYS, http://​www.​genesys-pgr.​org (accessed 20 November 2014).
 
3
Except IITA, which did not provide information for this report.
 
4
GENESYS, http://​www.​genesys-pgr.​org (accessed 20 November 2014).
 
Literatur
Zurück zum Zitat Bretting PK (2007) The U.S. National Plant Germplasm System in an Era of Shifting International Norms for Germplasm Exchange. In: Acta horticulturae. International Society for Horticultural Science (ISHS), Leuven, Belgium, pp 55–60 Bretting PK (2007) The U.S. National Plant Germplasm System in an Era of Shifting International Norms for Germplasm Exchange. In: Acta horticulturae. International Society for Horticultural Science (ISHS), Leuven, Belgium, pp 55–60
Zurück zum Zitat Burke MB, Lobell DB, Guarino L (2009) Shifts in African crop climates by 2050 and the implications for crop improvement and genetic resources conservation. Glob Environ Chang 19:317–325CrossRef Burke MB, Lobell DB, Guarino L (2009) Shifts in African crop climates by 2050 and the implications for crop improvement and genetic resources conservation. Glob Environ Chang 19:317–325CrossRef
Zurück zum Zitat CGKB (2014) Procedures for in-country seed plant material distribution CGKB (2014) Procedures for in-country seed plant material distribution
Zurück zum Zitat Crosby A (1972) The Columbian exchange: biological and cultural consequences of 1492. Greenwood Publishing, Westport Crosby A (1972) The Columbian exchange: biological and cultural consequences of 1492. Greenwood Publishing, Westport
Zurück zum Zitat Crosby A (1986) Ecological imperialism: the biological expansion of Europe, 900–1900. Cambridge University Press, Cambridge Crosby A (1986) Ecological imperialism: the biological expansion of Europe, 900–1900. Cambridge University Press, Cambridge
Zurück zum Zitat Da Silva Mariante A, Amstalden Sampaio MJ, Valadares Inglis MC (2009) State of the Brazil’s plant genetic resources. Second rep, Brazilia, DF Da Silva Mariante A, Amstalden Sampaio MJ, Valadares Inglis MC (2009) State of the Brazil’s plant genetic resources. Second rep, Brazilia, DF
Zurück zum Zitat Diamond J (1997) Guns, germs and steel: the fate of human societies. Norton & Co., New York Diamond J (1997) Guns, germs and steel: the fate of human societies. Norton & Co., New York
Zurück zum Zitat Dreisigacker S, Zhang P, Warburton ML et al (2005) Genetic diversity among and within CIMMYT wheat landrace accessions investigated with SSRs and implications for plant genetic resources management. Crop Sci 45:653–661CrossRef Dreisigacker S, Zhang P, Warburton ML et al (2005) Genetic diversity among and within CIMMYT wheat landrace accessions investigated with SSRs and implications for plant genetic resources management. Crop Sci 45:653–661CrossRef
Zurück zum Zitat Duvick DN (1984) Genetic diversity in major farm crops on the farm and in reserve. Econ Bot 38:161–178CrossRef Duvick DN (1984) Genetic diversity in major farm crops on the farm and in reserve. Econ Bot 38:161–178CrossRef
Zurück zum Zitat Evenson RE, Gollin D (1997) Genetic resources, international organisations, and improvement in rice varieties. Econ Dev Cult Change 45:471–500CrossRef Evenson RE, Gollin D (1997) Genetic resources, international organisations, and improvement in rice varieties. Econ Dev Cult Change 45:471–500CrossRef
Zurück zum Zitat FAO (2009) Russia: country report to the FAO International Technical Conference on Plant Genetic Resources. Moscow, Russian Federation FAO (2009) Russia: country report to the FAO International Technical Conference on Plant Genetic Resources. Moscow, Russian Federation
Zurück zum Zitat FAO (2010) Report on the state of the world’s plant genetic resources for food and agriculture. Food and Agriculture Organization of the United Nations, Rome FAO (2010) Report on the state of the world’s plant genetic resources for food and agriculture. Food and Agriculture Organization of the United Nations, Rome
Zurück zum Zitat Fowler C, Hodgkin T (2004) Plant genetic resources for food and agriculture: assessing global availability. Annu Rev Environ Resour 29:10.1–10.37CrossRef Fowler C, Hodgkin T (2004) Plant genetic resources for food and agriculture: assessing global availability. Annu Rev Environ Resour 29:10.1–10.37CrossRef
Zurück zum Zitat Fowler C, Smale M, Gaiji S (2001) Unequal exchange? Recent transfers of agricultural resources and their implications for developing countries. Dev Policy Rev 19:181–204CrossRef Fowler C, Smale M, Gaiji S (2001) Unequal exchange? Recent transfers of agricultural resources and their implications for developing countries. Dev Policy Rev 19:181–204CrossRef
Zurück zum Zitat Fujisaka S, Halewood M, Williams D (2011) Background study paper no. 48 Fujisaka S, Halewood M, Williams D (2011) Background study paper no. 48
Zurück zum Zitat Halewood M, Nnadozie K (2008) Giving priority to the commons: the international treaty on plant genetic resources for food and agriculture. In: Tansey G, Rojotte T (eds) The future control of food: a guide to international negotiations and rules on intellectual property, biodiversity and food security. Earthscan, London Halewood M, Nnadozie K (2008) Giving priority to the commons: the international treaty on plant genetic resources for food and agriculture. In: Tansey G, Rojotte T (eds) The future control of food: a guide to international negotiations and rules on intellectual property, biodiversity and food security. Earthscan, London
Zurück zum Zitat Halewood M, López Noriega I, Louafi S (2013) Crop genetic resources as a global commons: challenges in international governance and law. Routledge, Abingdon Halewood M, López Noriega I, Louafi S (2013) Crop genetic resources as a global commons: challenges in international governance and law. Routledge, Abingdon
Zurück zum Zitat Halewood M, Baidu-Forson JJ, Clancy E, Vodouhe RS (2014) Cooperating to make the best use of plant genetic resources in West and Central Africa: a regional imperative. Rome, Italy and Dakar, Senegal Halewood M, Baidu-Forson JJ, Clancy E, Vodouhe RS (2014) Cooperating to make the best use of plant genetic resources in West and Central Africa: a regional imperative. Rome, Italy and Dakar, Senegal
Zurück zum Zitat Heisey P, Day Rubenstein K (2015) Using crop genetic resources to help agriculture adapt to climate change: economics and policy. U.S. Department of Agriculture, Economic Research Service, Washington Heisey P, Day Rubenstein K (2015) Using crop genetic resources to help agriculture adapt to climate change: economics and policy. U.S. Department of Agriculture, Economic Research Service, Washington
Zurück zum Zitat Jarvis A, Upadhyaya H, Gowda CLL, et al (2010) Climate change and its effect on conservation and use of plant genetic resources for food and agriculture and associated biodiversity for food security. In: Second state of the world plant genetic resources for food and agriculture. Food and Agriculture Organization of the United Nations, Rome, Italy, p 26 Jarvis A, Upadhyaya H, Gowda CLL, et al (2010) Climate change and its effect on conservation and use of plant genetic resources for food and agriculture and associated biodiversity for food security. In: Second state of the world plant genetic resources for food and agriculture. Food and Agriculture Organization of the United Nations, Rome, Italy, p 26
Zurück zum Zitat Koo DB, Pardey PG, Wrigh B (2004) Saving seeds: the economics of conserving crop genetic resources ex situ. Wallingford, UK and Cambridge, MA, USA Koo DB, Pardey PG, Wrigh B (2004) Saving seeds: the economics of conserving crop genetic resources ex situ. Wallingford, UK and Cambridge, MA, USA
Zurück zum Zitat Laird SA, Wynberg R (2006) The commercial use of biodiversity: an update on current trends in demand for access to genetic resources and benefit-sharing, and industry perspectives on ABS policy and implementation. Montreal, Canada Laird SA, Wynberg R (2006) The commercial use of biodiversity: an update on current trends in demand for access to genetic resources and benefit-sharing, and industry perspectives on ABS policy and implementation. Montreal, Canada
Zurück zum Zitat Lane A, Jarvis A (2007) Changes in climate will modify the geography of crop suitability: agricultural biodiversity can help with adaptation Lane A, Jarvis A (2007) Changes in climate will modify the geography of crop suitability: agricultural biodiversity can help with adaptation
Zurück zum Zitat López Noriega I, Halewood M, Galluzzi G et al (2013a) How policies affect the use of plant genetic resources: the experience of the CGIAR. Resources 2:231–269CrossRef López Noriega I, Halewood M, Galluzzi G et al (2013a) How policies affect the use of plant genetic resources: the experience of the CGIAR. Resources 2:231–269CrossRef
Zurück zum Zitat López Noriega I, Wambugu P, Mejías A (2013b) Assessment of progress to make the multilateral system functional: incentives and challenges at the country level. Crop genetic resources as a global commons: challenges in international governance and law. Routledge, Abingdon, pp 199–225 López Noriega I, Wambugu P, Mejías A (2013b) Assessment of progress to make the multilateral system functional: incentives and challenges at the country level. Crop genetic resources as a global commons: challenges in international governance and law. Routledge, Abingdon, pp 199–225
Zurück zum Zitat Mann CC (2011) 1493: uncovering the new world Columbus created. Knopf, New York Mann CC (2011) 1493: uncovering the new world Columbus created. Knopf, New York
Zurück zum Zitat R Development Core Team (2011) R: A language and environment for statistical computing R Development Core Team (2011) R: A language and environment for statistical computing
Zurück zum Zitat Ramirez-Villegas J, Jarvis A, Fujisaka S et al (2013) Crop and forage genetic resources: international interdependence in the face of climate change. In: Halewood M, López Noriega I, Louafi S (eds) Crop genetic resources as a global commons: challenges in international law and governance. Earthscan, London, pp 78–98 Ramirez-Villegas J, Jarvis A, Fujisaka S et al (2013) Crop and forage genetic resources: international interdependence in the face of climate change. In: Halewood M, López Noriega I, Louafi S (eds) Crop genetic resources as a global commons: challenges in international law and governance. Earthscan, London, pp 78–98
Zurück zum Zitat Rejesus RM, Smale M, Van Ginkel M (1996) Wheat breeders’ perspectives on genetic diversity and germplasm use: findings from an international survey. Plant Var Seeds 9:129–147 Rejesus RM, Smale M, Van Ginkel M (1996) Wheat breeders’ perspectives on genetic diversity and germplasm use: findings from an international survey. Plant Var Seeds 9:129–147
Zurück zum Zitat SGRP (2011) CGIAR Centers’ Experience with the Implementation of Their Agreements with the Treaty’s Governing Body, with Particular Reference to the Use of the SMTA for Annex 1 and Non-Annex 1 Materials SGRP (2011) CGIAR Centers’ Experience with the Implementation of Their Agreements with the Treaty’s Governing Body, with Particular Reference to the Use of the SMTA for Annex 1 and Non-Annex 1 Materials
Zurück zum Zitat Smale M, Day Rubenstein K (2002) The demand for crop genetic resources: international use of the US national plant germplasm system. World Dev 30:1639–1655CrossRef Smale M, Day Rubenstein K (2002) The demand for crop genetic resources: international use of the US national plant germplasm system. World Dev 30:1639–1655CrossRef
Zurück zum Zitat Smale M, Reynolds MP, Wharburton M et al (2002) Dimensions of diversity in modern spring bread wheat in developing countries from 1965. Crop Sci 42:1766–1779CrossRef Smale M, Reynolds MP, Wharburton M et al (2002) Dimensions of diversity in modern spring bread wheat in developing countries from 1965. Crop Sci 42:1766–1779CrossRef
Zurück zum Zitat Smolders W (2005) Commercial practice in the use of plant genetic resources for food and agriculture. Background study paper prepared for the Commission on Genetic Resources for Food and Agriculture, Food and Agriculture Organisation of the United Nations, Rome, Italy, 18 pp Smolders W (2005) Commercial practice in the use of plant genetic resources for food and agriculture. Background study paper prepared for the Commission on Genetic Resources for Food and Agriculture, Food and Agriculture Organisation of the United Nations, Rome, Italy, 18 pp
Zurück zum Zitat Ullrich SE (2011) Barley: Production, improvement, and uses. Wiley-Blackwell, Chichester Ullrich SE (2011) Barley: Production, improvement, and uses. Wiley-Blackwell, Chichester
Zurück zum Zitat UN (2012) Statistical annex - Data sources, country classifications and aggregation methodology. In: World Economic Situation and Prospects. United Nations, p 9 UN (2012) Statistical annex - Data sources, country classifications and aggregation methodology. In: World Economic Situation and Prospects. United Nations, p 9
Zurück zum Zitat Voysest O, Johnson N, Pachico D (2003) The distribution of benefits from public international germplasm banks: the case of beans in Latin America. Agric Econ 29:277–286CrossRef Voysest O, Johnson N, Pachico D (2003) The distribution of benefits from public international germplasm banks: the case of beans in Latin America. Agric Econ 29:277–286CrossRef
Zurück zum Zitat Warburton ML, Crossa J, Franco J et al (2006) Bringing wild relatives back into the family: recovering genetic diversity in CIMMYT improved wheat germplasm. Euphytica 149:289–301CrossRef Warburton ML, Crossa J, Franco J et al (2006) Bringing wild relatives back into the family: recovering genetic diversity in CIMMYT improved wheat germplasm. Euphytica 149:289–301CrossRef
Metadaten
Titel
Twenty-five years of international exchanges of plant genetic resources facilitated by the CGIAR genebanks: a case study on global interdependence
verfasst von
Gea Galluzzi
Michael Halewood
Isabel López Noriega
Ronnie Vernooy
Publikationsdatum
13.05.2016
Verlag
Springer Netherlands
Erschienen in
Biodiversity and Conservation / Ausgabe 8/2016
Print ISSN: 0960-3115
Elektronische ISSN: 1572-9710
DOI
https://doi.org/10.1007/s10531-016-1109-7

Weitere Artikel der Ausgabe 8/2016

Biodiversity and Conservation 8/2016 Zur Ausgabe