| 000 | 03351nab|a22004697a|4500 | ||
|---|---|---|---|
| 001 | 64491 | ||
| 003 | MX-TxCIM | ||
| 005 | 20240919020918.0 | ||
| 008 | 202112s2021||||xxk|||p|op||||00||0|eng|d | ||
| 022 | _a2045-2322 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.1038/s41598-021-00372-w | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_aKaur, J. _924824 |
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| 245 | 1 | 0 | _aFarm typology for planning targeted farming systems interventions for smallholders in Indo-Gangetic Plains of India |
| 260 |
_aLondon (United Kingdom) : _bNature Publishing Group, _c2021. |
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| 500 | _aPeer review | ||
| 520 | _aDue to complexity of smallholder farms, many times technologies with great potential fail to achieve the desired impact in leveraging productivity and profitability of the farming community. In the Indo-Gangetic Plains there is an urgent need to understand the diversity of farm households, identifying the main drivers deciding their system thus, classifying them into homogenous groups. In the present study, the diversity of smallholder farms was assessed using crop, livestock and income related characteristics and associated farm mechanization. Using principal component analysis and cluster analysis for 252 farm households, 4 farm types were identified i.e. Type 1. Small Farm households with cereal-based cropping system and subsistence livestock (39%), Type 2. Small Farm households with diversified cropping system dominated by cereal and fodder crops with only cattle herd (9%), Type 3. Marginal Farm household with diversified cropping system dominated by cash crop and herd comprising of only cattle (39%), Type 4. Marginal Farm household with diversified cropping system dominated by cereal crops and herd dominated by small ruminants (12%). Based on the constraints identified for different components of farming systems, low-cost interventions were planned for each farm type. These interventions have resulted in 84.8–103.2 per cent increase in the income of the farm HH under study suggesting usefulness of typology-based intervention planning in increasing income of small farm holders. | ||
| 546 | _aText in English | ||
| 650 | 7 |
_aFarm typology _920013 _2AGROVOC |
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| 650 | 7 |
_aSmallholders _91763 _2AGROVOC |
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| 650 | 7 |
_aFarming systems _91109 _2AGROVOC |
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| 651 | 7 |
_2AGROVOC _93726 _aIndia |
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| 700 | 1 |
_aPrusty, A.K. _911303 |
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| 700 | 1 |
_aRavisankar, N. _911304 |
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| 700 | 1 |
_aPanwar, A.S. _911305 |
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| 700 | 1 |
_aShamim, M. _94052 |
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| 700 | 1 |
_aWalia, S.S. _924825 |
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| 700 | 1 |
_aChatterjee, S. _924826 |
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| 700 | 1 |
_aPasha, M.L. _924827 |
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| 700 | 1 |
_aBabu, S. _921450 |
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| 700 | 1 |
_aJat, M.L. _gFormerly Sustainable Intensification Program _gFormerly Sustainable Agrifood Systems _8INT3072 _9889 |
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| 700 | 1 |
_aLopez-Ridaura, S. _gSustainable Intensification Program _gSustainable Agrifood Systems _8INT3360 _9939 |
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| 700 | 1 |
_aGroot, J.C.J. _96378 |
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| 700 | 1 |
_aAdelhart Toorop, R. _915951 |
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| 700 | 1 |
_aBarba‐Escoto, L. _8N1707303 _98604 _gSustainable Intensification Program |
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| 700 | 1 |
_aNoopur, K. _924828 |
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| 700 | 1 |
_aKashyap, P. _924829 |
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| 773 | 0 |
_tNature Scientific Reports _gv. 11, no. 1, art. 20978 _dLondon (United Kingdom) : Nature Publishing Group, 2021. _w58025 _x2045-2322 |
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| 856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/21726 |
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| 942 |
_cJA _n0 _2ddc |
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| 999 |
_c64491 _d64483 |
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