| Title |
Prioritisation of native legume species for further evaluation as potential forage crops in water-limited agricultural systems in South Africa
|
|---|---|
| Published in |
Environmental Monitoring and Assessment, September 2017
|
| DOI | 10.1007/s10661-017-6230-x |
| Pubmed ID | |
| Authors |
Francuois L. Müller, Lincoln M. Raitt, Samson B. M. Chimphango, M. Igshaan Samuels, Clement F. Cupido, J. Stephen Boatwright, Richard Knight, Marike Trytsman |
| Abstract |
In the face of climate change, identification of forage species suitable for dryland farming under low rainfall conditions in South Africa is needed. Currently, there are only a limited number of forage species suitable for dryland farming under such conditions. The objective of this study was to identify and prioritise native legume species that could potentially be used in dryland farming systems in water-limited agro-ecosystems in South Africa. Using a combination of ecological niche modelling techniques, plant functional traits, and indigenous knowledge, 18 perennial herbaceous or stem-woody legume species were prioritised for further evaluation as potential fodder species within water-limited agricultural areas. These species will be evaluated further for their forage quality and their ability to survive and produce enough biomass under water limitation and poor edaphic conditions. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 18% |
| Researcher | 8 | 13% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Doctoral Student | 4 | 7% |
| Other | 4 | 7% |
| Other | 9 | 15% |
| Unknown | 16 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 27% |
| Environmental Science | 8 | 13% |
| Social Sciences | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Nursing and Health Professions | 2 | 3% |
| Other | 9 | 15% |
| Unknown | 20 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 November 2017.
All research outputs
#19,382,126
of 23,854,458 outputs
Outputs from Environmental Monitoring and Assessment
#1,865
of 2,748 outputs
Outputs of similar age
#248,452
of 320,825 outputs
Outputs of similar age from Environmental Monitoring and Assessment
#26
of 46 outputs
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