Focus: Building resilient, integrated, mixed, multi- enterprise land use systems adapted to key non-tropical dry area agro-ecologies (rainfed, agro-pastoral, and irrigated) and markets. Sustainable intensification of non-tropical dry area crop and livestock production systems, with a strong market orientation, is a key driver of increasing agricultural productivity and is crucial to addressing livelihoods, food security, and the sustainable use of natural resources under changing climate conditions. This intensification requires addressing significant water-limited yield gaps in rainfed areas through improved agronomic practices and the scaling up of conservation-based farming practices. To support adoption of conservation agriculture, SRP3 will develop solutions to optimize the use of plant biomass for restoring soil health and livestock feed. We will develop integrated crop–legume–livestock systems that move towards carbon neutrality and increased resilience to cope with climates of the future.
ICARDA Strategic Plan 2017 - 2026: https://dx.doi.org/20.500.11766/8237
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41 to 50 of 211 Results
Pixel-based cross-sectional data set of socio-ecological contextual and land productivity variables covering Ethiopia and Kenya
Pixel-based cross-sectional data set of socio-ecological contextual and land productivity variables covering Ethiopia and Kenya
Feb 11, 2023
Le, Quang Bao, 2019, "Pixel-based cross-sectional data set of socio-ecological contextual and land productivity variables covering Ethiopia and Kenya", https://hdl.handle.net/20.500.11766.1/FK2/9VYLH4, MELDATA, V4
The dataset contains pixel-based data of variables for Ethiopia and Kenya. Each data record (i.e. each row) is corresponding to one pixel of approximately 1 km2. The longitude and latitude coordinates of the pixel center (in decimal degree, GCS WGS 1984 datum) are the X and Y var...
Comparison between maize, millet and guar improved and local varieties for green fodder and dry matter yield - Pakistan 2015
Comparison between maize, millet and guar improved and local varieties for green fodder and dry matter yield - Pakistan 2015
Feb 11, 2023
Majid, Abdul, 2019, "Comparison between maize, millet and guar improved and local varieties for green fodder and dry matter yield - Pakistan 2015", https://hdl.handle.net/20.500.11766.1/FK2/R0KNBQ, MELDATA, V3
The dataset contanins a data comparison between improved maize, millet and guar variety vs. local varieties for green fodder yield (GFY) and dry matter yield (DMY). The data are from 2 farmers fields at Latifal and Saghar village at Chakwal site (Pakistan).
Spineless cactus biometric data
Feb 10, 2023
Keshari Sahoo, Padma; Swain, Nigamananda; Sarker, Ashutosh, 2021, "Spineless cactus biometric data", https://hdl.handle.net/20.500.11766.1/FK2/8NUADP, MELDATA, V4
The present dataset belong to project “Spineless Cactus in Hilly/Degraded Lands and Grass pea in Winter Fallows for Fodder, Food & Nutrition Security in Tribal Areas in Odisha”, implemented in Odisha state in India in the period 2018-2021. The dataset presents biometric data abou...
Biomass_2019.csv
Jan 19, 2023 - Impact of rest duration and land tenure on biomass (productivity) of degraded rangelands in Tunisia
Comma Separated Values - 6.4 KB - MD5: 98aeab970161f796d03d533de87db0d5
DataDictionary_ElementsDescriptions.csv
Jan 19, 2023 - Impact of rest duration and land tenure on biomass (productivity) of degraded rangelands in Tunisia
Comma Separated Values - 6.2 KB - MD5: b77ccfa15cd6151b6dd9306fb648a15a
DataDictionary_Introduction.csv
Jan 19, 2023 - Impact of rest duration and land tenure on biomass (productivity) of degraded rangelands in Tunisia
Comma Separated Values - 2.0 KB - MD5: 495ee31749da1e096ba31a6152a49cf2
SimulationSitesSummary.csv
Jan 19, 2023 - Impact of rest duration and land tenure on biomass (productivity) of degraded rangelands in Tunisia
Comma Separated Values - 2.2 KB - MD5: 87360e07c2d49a67b44b2f86d0699e8c
DataDictionary_ElementDescription.csv
Jan 19, 2023 - Pixel-based cross-sectional data set of socio-ecological contextual and land productivity variables covering Ethiopia and Kenya
Comma Separated Values - 7.8 KB - MD5: 721664b66a49358069cd41b3a2d6e7b8
EK_Full_Vars_References.pdf
EK_Full_Vars_References.pdf
Jan 19, 2023 - Pixel-based cross-sectional data set of socio-ecological contextual and land productivity variables covering Ethiopia and Kenya
Adobe PDF - 91.3 KB - MD5: 1e4b8770138b3abc2cc0d99b2915e0b9
DataDictionary_ElementDescription.csv
Jan 19, 2023 - Pixel-based cross-sectional data set of socio-ecological contextual and land productivity variables covering Tunisia, Algeria and Morocco
Comma Separated Values - 6.8 KB - MD5: 262f7349b339b9a63cac726cb95e831c
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