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59 results for “intercrop”
Long-term effects of intercropping on multi-trophic structure and bio-thermodynamic health of mixed Eucalyptus-native tree plantations
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Data from: Sorghum and groundnut sole and intercrop nutrient response in semi-arid West Africa
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Data from: Can intercropping with the world’s three major beverage plants help improve the water use of rubber trees?
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Third and fourth trophic level composition shift in an aphid-parasitoid-hyperparasitoid food web limits aphid control in an intercropping system
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Data from: Intercropping of marine finfish in shrimp ponds: a maiden feasibility study
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Nitrogen fixation and crop productivity enhancements codriven by intercrop root exudates and key rhizosphere bacteria
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Soil microbial legacy drives crop diversity advantage: linking ecological plant-soil feedback with agricultural intercropping
<ol> <li>Although the importance of the soil microbiome in mediating plant community structures and functions has been increasingly emphasized in ecological studies, the biological processes driving crop diversity overyielding remain unexplained in agriculture. Based on the plant-soil feedback (PSF) theory and method, we quantified how much soil microbes contributed to intercropping overyielding and detected which microbial groups mediated this effect.</li> <li>Soils were collected as inocula and sequenced from a unique 10-year field experiment, consisting of monoculture, intercropping and rotation planted with wheat (<i>Triticum aestivum</i>), maize (<i>Zea mays</i>) or faba bean (<i>Vicia faba</i>). A PSF study was conducted to test microbial effects on three crops' growth in monoculture or intercropping.</li> <li>In wheat & faba bean (W&F) and maize & faba bean (M&F) systems, soil microbes drove intercropping overyielding compared to monoculture, with 28-51% of the overyielding contributed by microbial legacies. The overyielding effects resulted from negative PSFs in both systems, as crops, in particular faba bean grew better in soils conditioned by other crops than itself. Moreover, faba bean grew better in soils from intercropping or rotation than from the average of monocultures, indicating a strong positive legacy effect of multispecies cropping systems. However, with positive PSF and negative legacy benefit effect of intercropping/rotation, we did not observe significant overyielding in the W&M system.</li> <li>With more bacterial and fungal dissimilarities by metabarcoding in heterospecific than its own soil, the better it improved faba bean growth. More detailed analysis showed faba bean monoculture soil accumulated more putative pathogens with higher <i>Fusarium</i> relative abundance and more <i>Fusarium oxysporum</i> gene copies by qPCR, while in heterspecific soils, there was less pathogenetic effects when cereals were engaged. Further analysis in maize/faba bean intercropping also showed an increase of rhizobia relative abundance.</li> <li> <i>Synthesis and applications</i>. Our results demonstrate a soil microbiome-mediated advantage in intercropping through suppression of the negative PSF of pathogens and increasing beneficial microbes. As microbial mediation of overyielding is context-dependent, we conclude that the dynamics of both beneficial and pathogenic microbes should be considered in designing cropping systems for sustainable agriculture, particularly including combinations of legumes and cereals.</li> </ol>
Data from: Temporal dynamics of nutrient uptake by neighboring plant species: evidence from intercropping
The productivity of species-diverse plant assemblages strongly depends on the temporal dynamics of nutrient uptake by competing neighbouring plants. Our understanding, however, of how rates of nitrogen (N), phosphorous (P) and potassium (K) uptake might change through time between neighbouring plant species under field conditions is still very limited. Here, we specifically measure the temporal trajectories of N, P and K uptake by staple food plants such as wheat (Triticum aestivum L.), barley (Hordeum vulgare L.) and maize (Zea mays L.) when growing either in monocultures or in intercropping systems. We ask how (i) plant species combinations, (ii) N fertilization and (iii) film mulching might affect key indexes of N, P and K uptake over time. We fit logistic models to characterize the nutrient uptake trajectories. Maximum cumulative N, P and K uptake (kg ha−1) by wheat and barley were significantly greater in wheat–maize or barley–maize intercropping systems than in wheat or barley monocultures. Cumulative nutrient uptake by intercropped maize (either with wheat or with barley) was reduced by interspecific competition at early growth stages, but it increased rapidly after wheat and barley were harvested. Maximum cumulative N and P (but not K) uptake by intercropped maize were significantly higher than the uptake by monoculture maize, particularly when N fertilizer or film mulching was applied. Intercropping induced a significant temporal niche differentiation in maximum daily nutrient uptake rates (kg ha−1 day−1) between intercropped species. Fertilization had much stronger effects on maximum cumulative nutrient uptake of maize than that of wheat and barley. Mulching significantly increased the maximum cumulative nutrient uptake of maize and advanced the time to reach its maximum daily P and K uptake rates. Our study provides evidence of an important temporal niche differentiation mechanism ('temporal complementarity') in nutrient uptake rates between neighbouring plant species. A better understanding of temporal trajectories of interspecific nutrient uptake rates remains crucial if we want to maximize the nutrient-use efficiency and sustain overyielding (i.e. high food production) in plant species-diverse systems such as intercropping.
Intercropping indices evaluation on grain legume-small grain cereals mixture: a critical meta-analysis review
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Role of sustainable agricultural intensification in food and nutrition security of smallholder subsistence farmers: Evidence from cereal legume intercropping in Eastern Ethiopia
<p>This data set is a biological data generated through field experimentation on cereal legume intercropping. In general, the contents of the data set are type of treatment (experimental materials), site of experiment, biomass and grain yields, etc. There is no legal and ethical issues related to this data set and its process of generation. The data can be re-used with proper acknowledgement of the authors. </p>
Cereal legume intercropping studies in Malawi
<p>Innovations in Technology, Institutional and Extension Approaches towards Sustainable Agriculture and enhanced Food and Nutritional Security in Africa (InnovAfrica), a European Commission funded project validated and upscaled cereal legume intercropping technology in Dedza and Mzimba districts of Malawi involving farmers in between year 2017 and 2020. The results from the intercropping experiment of three cereals (maize, sorghum, and finger millet) and various legume species (pigeonpea, soyabeans, Bambara nut, groundnut, cowpea, and common beans) are presented in this data set.</p>
Soil microbial legacy drives crop diversity advantage: linking ecological plant-soil feedback with agricultural intercropping
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Cereal legume intercropping studies in Malawi
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Role of sustainable agricultural intensification in food and nutrition security of smallholder subsistence farmers: Evidence from cereal legume intercropping in Eastern Ethiopia
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Data from: Temporal dynamics of nutrient uptake by neighboring plant species: evidence from intercropping
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Rapid adaptation in Intercropped Systems
<p>R code and dataset for the study <strong>Rapid transgenerational adaptation in response to intercropping increases facilitation and reduces competition. </strong></p>
Comparative transcriptomic analysis of the roots of intercropped maize by microarray
GEO Series GSE93771. Zea mays. 6 samples. Type: Expression profiling by array.
Intercropping stabilizes annual food production across a geographic and climate gradient
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Impact of green manure and intercropping in organic greenhouse tomato
<p>Test the impact of green manure and intercropping with legumes inoculated or non-inoculated with rhizobia and endophytic bacteria on nitrogen, phosphorus and potassium nutrition in organic greenhouse tomato.<br> The first experiment (GE1E1) started on May 23rd 2017 and was terminated on January 19th 2018; the second experiment (GE1E2) started on February 8th and was terminated on June 11th 2018; the third experiment (GE1E3) started on June 12th 2018 and was terminated on January 30th 2019. In 1st experiment (GE1E1), self-rooted plants of the commercial tomato hybrid ‘Elpida F1’ were cultivated, while in 2nd and 3nd experiment (GE1E2 and GE1E3, respectively), the commercial tomato hybrids ‘Ekstasis F1’ and ‘Elpida F1’, respectively, grafted onto the commercial rootstock ‘Maxifort F1’ were cultivated. The plant density was 2.13 plants/m2 in all experiments of GE1.<br> In GE1E1 and GE1E3 (tomato crops established in August and terminated in January), summer-grown cowpea was applied as green manure before establishment of the tomato crop, in order to be tested as a source of nitrogen in addition to farmyard manure (FYM). The treatments were identical in both GE1E1 and GE1E3. More specifically, in treatment 1 (CON), which was considered as control, no other source of N was applied except for FYM. In treatments 2 (GM-C), 3 (GM-C+BV) and 4 (GM-C+BV+EB), additional N was provided through green manure, by sowing cowpea (<em>Vigna unguiculata </em>(L) Walp.) and incorporating the plants at anthesis into the soil, shortly before planting the tomato crop. However, in GM-C the seeds of cowpea were not inoculated with any rhizobia, while in GM-C+BV the cowpea seeds were inoculated with<em> Bradyrhizobium sp</em>. VULI11 (BV) (Tampakaki et al. 2017), and in GM-C+BV+EB the seeds of cowpea were inoculated with a mix of BV and endophytic bacteria.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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