| 000 | 03297nab|a22005177a|4500 | ||
|---|---|---|---|
| 001 | 69629 | ||
| 003 | MX-TxCIM | ||
| 005 | 20251128150338.0 | ||
| 008 | 2511272025|||||ne ||p|op||||00||0|eng|dd | ||
| 022 | _a0167-8809 | ||
| 022 | _a1873-2305 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.1016/j.agee.2025.109918 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_aAgbohessou, Y. _932777 |
|
| 245 | 1 | 0 |
_aProxydetection of the impact distance of trees on crops : _bAn indicator of the Land Equivalent Ratio |
| 260 |
_aAmsterdam (Netherlands) : _bElsevier B.V., _c2025. |
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| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aFaidherbia albida is known to affect the yield of various crops, typically in a pattern where the impact decreases with increasing distance from the tree. While several studies have investigated the spatial extent of this effect, limited research has explored how this distance varies across different crops or its relationship with crop yield and the Land Equivalent Ratio. In this study, we used a geostatistical approach combined with multispectral UAV (Unmanned Aerial Vehicle) imagery to address these gaps in understanding. The results showed that, in contrast to its tripling effect on millet yield, F. albida does not have a significant impact on groundnut pod yield, it only improves its haulm yield under its crown by about 50 %. The geostatistical analysis showed that F. albida affects the groundnut crop up to 9.8-m, compared to 18-m for millet. Yield upscaling from subplots to the whole plot was achieved with an error of 8 % for groundnut pod yield and 13 % for haulm yield. Groundnut’s partial Land Equivalent Ratio (LERcp) was 1.02 for pod yield and 1.05 for haulm yield, which was lower than the LERcp for millet. We concluded that the distance at which agroforestry trees influence crops is a reliable predictor of their effect on yield and Land Equivalent Ratio. This approach offers a promising tool for future agroforestry studies, potentially guiding crop management strategies in agroforestry systems. | ||
| 546 | _aText in English | ||
| 597 |
_dEuropean Union (EU) _dRAMSES II _dEC2CO – ENCAS Projects _dLaboratoire des Moyens Analytiques (LAMA) |
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| 650 | 7 |
_aFaidherbia albida _2AGROVOC _97674 |
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| 650 | 7 |
_aCrops _2AGROVOC _91069 |
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| 650 | 7 |
_aLand equivalent ratio _2AGROVOC _910878 |
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| 650 | 7 |
_aGeostatistics _2AGROVOC _99905 |
|
| 700 | 1 |
_aAudebert, A. _940733 |
|
| 700 | 1 |
_8001713635 _aNdour, A. _gSustainable Agrifood Systems _929881 |
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| 700 | 1 |
_aLeroux, L. _917288 |
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| 700 | 1 |
_aJourdan, C. _932780 |
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| 700 | 1 |
_aClermont-Dauphin, C. _932773 |
|
| 700 | 1 |
_aSow, S. _932768 |
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| 700 | 1 |
_aPierre, C. _940734 |
|
| 700 | 1 |
_aTaugourdeau, S. _92606 |
|
| 700 | 0 |
_aMame Sokhna Sarr _940735 |
|
| 700 | 0 |
_aSekouna Diatta _940736 |
|
| 700 | 1 |
_aDiaite, D.S. _932781 |
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| 700 | 1 |
_aSeghieri, J. _932778 |
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| 700 | 1 |
_aLe Maire, G. _914024 |
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| 700 | 1 |
_aVezy, R. _932771 |
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| 700 | 1 |
_aFoncéka, D. _926805 |
|
| 700 | 1 |
_aRoupsard, O. _92603 |
|
| 773 | 0 |
_tAgriculture, Ecosystems and Environment _dAmsterdam (Netherlands) : Elsevier B.V., 2025. _gv. 394, art. 109918 _x0167-8809 _wG444470 |
|
| 856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/36240 |
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| 942 |
_cJA _n0 _2ddc |
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| 999 |
_c69629 _d69621 |
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