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59 results for “Intercropping”
Effects of intercropping on the herbage production of a binary grass-legume mixture (Hedisarum coronarium L. and Lolium multiflorum Lam.) under artificial shade in Mediterranean rainfed conditions
<p>This dataset refers to the experimental raw data (csv version) collected within the trial reported in the concerned article on the following parameters:</p> <p>1. crop aboveground biomass, splitted per field, mowing, crop, treatment and replicate (crop aboveground biomass.csv)</p> <p>2. cumulated crop aboveground biomass, splitted per field, year, crop, treatment and replicate (cumulated crop aboveground biomass_year.csv)</p> <p>3. cumulated crop aboveground biomass for the two years of the growing cycle, splitted per field, crop, treatment and replicate (cumulated crop aboveground biomass_2years.csv)</p> <p>4. partial and total RYT splitted per year, field and treatment (RYT_year)</p> <p>5. partial and total RYT for the two years of the growing cycle, splitted per field and treatment (RYT_2years)</p> <p> </p> <p><br> </p>
A global dataset gathering 37 field experiments involving cereal-legume intercrops and their corresponding sole crops.
<p>The overall description of the dataset is reported in the <strong>data_report.pdf</strong> file. The methodology for data curation and tidying is published in Peer Community Journal (<a href="https://doi.org/10.24072/pcjournal.389">Mahmoud2024</a>).</p> <p>This dataset gathers the results of 37 field experiments, which involved cereal-legume intercrops and their corresponding sole crops. The field experiments were carried in 5 European countries (France, Denmark, Italy, Germany and England) from 2001 to 2017. The dataset includes:</p> <ul> <li>5 legume species , <em>i.e.</em> chickpea (<em>Cicer arietinum</em> L.), faba bean (<em>Vicia faba</em> L.), lentil (<em>Lens culinaris</em> Med.), lupin (<em>Lupinus albus</em> L.) and pea (<em>Pisum sativum</em> L.),</li> <li>3 cereal species, <em>i.e.</em> barley (<em>Hordeum vulgare</em> L.), durum wheat (<em>Triticum turgidum</em> L.) and soft wheat (<em>Triticum aestivum</em> L.), </li> <li>8 resulting intercrops, <em>i.e.</em> i) barley associated with faba bean, lupin or pea, ii) durum wheat associated with chickpea, faba bean or pea, and iii) soft wheat associated with lentil or pea. </li> </ul> <p>In total, the dataset contains 299 sole crop and 308 intercrop experimental units, one given experimental unit being defined as the unique combination of {site, year, crop management}, with the crop management including species and cultivar choice as well as agricultural interventions (sowing conditions, inputs).</p> <p>The global dataset includes four tables, all sharing a common identifier (experiment_id):</p> <ul> <li>data_trials.csv: the global features describing the experimental sites,</li> <li>data_management.csv: the agricultural management actions carried out on each of the experimental sites,</li> <li>data_traits.csv: measured plant and crop characteristics,</li> <li>data_climate.csv: climate for the experimental sites, retrieved from NASA POWER API.</li> </ul> <p>Additionally, a metadata file is provided (<strong>metadata.xlsx</strong>), describing the table to which the variables belong (variable_type, i.e. trials, management, traits or climate), their name (variable_name), their significance (description) and their unit (unit). Finally, a table including the original references related to experimental files gathered (<strong>references.xlsx</strong>) is also provided.</p> <p>Data providers and field experiments: Laurent Bedoussac, Eric Justes, Etienne-Pascal Jour- net, Christophe Naudin, Henrik Hauggaard-Nielsen, Erik Steen Jensen, Elise Pelzer, Guénaëlle Corre-Hellou, Bochra Kammoun, Loic Viguier, Romain Barillot, Antoine Couëdel, Philippe Hinsinger</p> <p>Database and management: Noémie Gaudio, Rémi Mahmoud, Pierre Casadebaig</p>
Data for "Crop Diversification in Viticulture with Aromatic Plants: Effects of Intercropping on Grapevine Productivity in a Steep-Slope Vineyard in the Mosel Area, Germany"
<p>This dataset is corresponding to an open-access article named "Crop Diversification in Viticulture with Aromatic Plants: Effects of Intercropping on Grapevine Productivity in a Steep-Slope Vineyard in the Mosel Area, Germany" published in Agriculture (https://www.mdpi.com/2077-0472/11/2/95; <a href="https://doi.org/10.3390/agriculture11020095">https://doi.org/10.3390/agriculture11020095</a>), funded by the European Commission Horizon 2020 project Diverfarming [grant agreement 728003]. </p>
Farmers' fields network of oilseed rape intercropped with service plant in Western Switzerland.
<p>These data are associated with the publication of Bousselin et al. (2024) in which the experiment and the protocols are explained into details.</p> <p><span>Bousselin, X., Lorin, M., Valantin-Morison, M. </span><em>et al.</em><span> Determinants of oilseed rape-service plant intercropping performance variability across a farmers’ fields network in Western Switzerland. </span><em>Agron. Sustain. Dev.</em><span> </span><strong>44</strong><span>, 40 (2024). https://doi.org/10.1007/s13593-024-00972-6</span></p>
Data, code and software to reproduce the article entitled "Modeling soil-plant functioning of intercrops using comprehensive and generic formalisms implemented in the STICS model"
<p>This is the data, code and software to reproduce the article entitled " Modeling soil-plant functioning of intercrops using comprehensive and generic formalisms implemented in the STICS model". Here is a summary of the paper:</p> <p>The growing demand for sustainable agriculture is raising interest in intercropping for its multiple potential benefits to avoid or limit the use of chemical inputs or increase the production per surface unit. Predicting the existence and magnitude of those benefits remains a challenge given the numerous interactions between interspecific plant-plant relationships, their environment and the agricultural practices. Soil-crop models are critical in understanding these interactions in dynamics during the whole growing season, but few models are capable of accurately simulating intercropping systems.</p> <p>In this study, we propose a set of simple and generic formalisms for simulating key interactions in intercropping systems that can be readily included into existing dynamic crop models. This requires simulating important processes such as development, light interception, plant growth, N and water balance, and yield formation in response to management practices, soil conditions, and climate. These formalisms were integrated into the STICS soil-crop model and evaluated using observed data of intercropping systems of cereal and legumes mixtures, including Faba bean-Wheat, Pea-Barley, Sunflower-Soybean, and Wheat-Pea mixtures. We demonstrate that the proposed formalisms provide a comprehensive simulation of soil-plant interactions in various types of bispecific intercrops. The model was found consistent and generic under a range of spring and winter intercrops (nRMSE = 25% for maximum leaf area index, 23% for shoot biomass at harvest, and 18% for yield).</p> <p>This is the first time a complete set of formalisms has been developed and published for simulating intercropping systems and integrated into a soil-crop model. With its emphasis on being generic, sufficiently accurate, simple, and easy to parameterize, STICS is well-suited to help researchers designing <em>in silico</em> the agroecological transition by virtually pre-screening sustainable, manageable intercrop systems adapted to local conditions.</p> <p> </p> <p> </p> <p> </p>
Dataset paper "N2 use in perennial swards intercropped with young poplars, clone I-214 (Populus × euramericana (Dode) Guinier) in the Mediterranean area under rainfed conditions"
<p>These files contain the data produced within a 2-yr field experiment conducted in Pisa, Central Italy, to assess N dynamics in a young silvopastoral system (i.e., where two forage crops, sulla and ryegrass, were grown in intercropping with an alley row of poplar trees) compared to a pure pastoral system (i.e., where teh afore-mentioned forage crops were grown without trees).</p> <p>Specifically:</p> <p>- "15N_poplars_Ntransfer.csv" contains the data on N2-transfer from sulla to poplar trees</p> <p>- "Averaged cumulate values.csv" contains the data on aboveground biomass, N yield and N fixed of the forage crops, cumulated over the two years of experimentation;</p> <p>- "Poplars growth.csv" contains the data on plant height and trunk diameters ( at the foot and at 130 cm) collected on poplar plants at different dates (at plantation time and at the end of each experimental year);</p> <p>- "Root_N_Nfix.csv" contains the data on delta 15N, %N derived from fixation and N concentration in poplar tree roots sampled at the end of each experimental year;</p> <p>- "Seasonal Data_AGB_N_Nfix.csv" contains the data on aboveground biomass, N yield, delta 15N, %N derived from fixation and N concentration and N fixed of forage species observed at each sampling time (mowing date) within the two experimental years;</p> <p>- "Soil_N_only SIPAST.csv" contains the data of soil total Nitrogen and nitric Nitrogen observed only in the silvopastoral system at different positions on the field;</p> <p>-"Soil_N.csv" contains the data of soil total Nitrogen and nitric Nitrogen observed in the two cropping systems at different positions on the field.</p>
Valuing diversification benefits through intercropping in Mediterranean agroecosystems: A choice experiment approach.
<p>This data set contains information from a choice experiment survey developed to value the socio-economic benefits of intercropping practices in Mediterranean agroecosystems.</p> <p>These data correspond to the open-access article "Valuing diversification benefits through intercropping in Mediterranean agroecosystems: A choice experiment approach" published in Ecological Economics. (<a href="https://doi.org/10.1016/j.ecolecon.2020.106593">https://doi.org/10.1016/j.ecolecon.2020.106593</a>), funded by he European Commission Horizon 2020 project Diverfarming [grant agreement 728003]. </p>
Temporal dynamics of biodiversity effects and light-use related traits in two intercropping systems
<p>Dataset for "Temporal dynamics of biodiversity effects and light-use related traits in two intercropping systems"</p>
Metadata related to Optimized Intercropping System (NCBI PRJNA928765)
<p><strong>The Sahel of W Africa is a climate change hotspot, where soil degradation and recurring drought significantly reduce agricultural productivity. Erratic rainfall, exacerbated by climate change, t contributes to ongoing and future food insecurity in this region. The staple crop, pearl millet (Pennisetum glaucum), is grown by subsistence farmers during the rainy season without fertilizer or irrigation (conditions also desired for US domestic biofuel cultivation). Indigenous farming practices demonstrate one solution: where farmers intercrop with an native woody shrub (Guiera senegalensis), millet drought resilience - and crop yields - are dramatically increased. One mechanism of this beneficial interaction: shrubs perform hydraulic redistribution of water to surface soil, assisting crops through growing-season drought periods. Additionally, the moister and more nutrient rich soils under the shrub canopy harbor a distinct and active microbial community; this work examines the role of these microbes in aiding the millet. We have characterized this potential in partnership with the Joint Genome Institute (JGI, project number 505730) to metagenomically sequence the millet rhizo- and endo-sphere communities, with and without shrub intercropping, in long-term experimental plots in Senegal. Using the framework of known plant-microbe beneficial interactions we are analyzing metagenomes for genes and genomes related to plant growth promotion, and metagenomic data is publicly available via NCBI under PRJNA928765. Here, we publish soil chemical, plant biomass, and PLFA data obtained from the OSS during the 2019 sampling season and corresponding 2020 dry season. </strong></p>
Responses of agricultural weed community in a corn-soybean intercrop
This dataset was created as a part of an experiment which used a soybean-corn intercrop system for examining how the community structure of agricultural weeds changes with fertilization and with the identity of the crop species. The composition of the weed flora in intercrops was compared with the weed flora of the respective sole crops, with and without fertilization. The experiment was conducted at Kellogg Biological Station (KBS) in southwestern Michigan, USA, in 1993.
Weed dataset - Crop diversity Experiment - Crop-weed relationships are context-dependent and cannot fully explain the positive effects of intercropping on yield
<p>This shows the weed mass per species and crop yield per species of each plot described in the experiment. </p>
Data for A first-year melon/cowpea intercropping system improves soil nutrients and changes the soil microbial community
<p>A first-year melon/cowpea intercropping system improves soil nutrients and changes the soil microbial community data</p>
Overyielding is accounted for partly by plasticity and dissimilarity of crop root traits in maize/legume intercropping systems
<p><span>Positive biodiversity-productivity relationships have been found in biodiversity field experiments of grassland, forestry, and other natural terrestrial ecosystems, where diversity effects were separated by complementarity (CE) and selection effects (SE). However, we know little about how CE and SE are related to root traits and root dissimilarity.</span></p> <p><span>A four-year field experiment was carried out with a split-plot design, where main plot was four nitrogen (N) applications (N0, N1, N2, N3) and five cropping systems (maize (</span><span><em>Zea mays</em> </span><span>L.</span><span>)/soybean (</span><span><em>Glycine max</em> </span><span>L. Merrill.</span><span>), maize/peanut (</span><em><span>Arachis hypogaea</span></em> <span>L.</span><span>) intercropped and the corresponding monocultures) with three replicates. Roots were sampled in the N0 and N2 treatments in two years. Intercropping effects were analyzed based on grain yield for four years and roots were sampled down to 60 cm depth, and analyzed with morphological parameters at different crop growth stages in two years.</span></p> <p><span>Intercropping significantly increased grain yield and aboveground biomass in both intercropping systems under all N treatments. The partitioning of the net intercropping effects showed that yield advantage in intercropping was due to a positive CE under the N0 treatment, and to a positive SE with N application.</span></p> <p><span>Maize showed greater root morphological plasticity than the legumes did, with greater changes in root length density (RLD), root weight density (RWD) and total root surface (TS) in intercropping than in monoculture. Intercropped maize occupied a larger soil space, while lateral RLD distribution of legumes was decreased by maize. The RLD, RWD, and TS of intercropped maize were constant or increased in later growth stages. SE showed a significantly positive relationship with root dissimilarity. Principal component analysis showed mean root depth and specific root length of legumes drove the positive CE in the absence of N fertilization. </span></p> <p><span>Root dissimilarity determined by maize explained the selection effects in overyielding. Complementarity effects under N0 were closely associated with specific root traits such as mean root depth and specific root length. Linking changes of root traits with intercropping effects aboveground helps understand yield advantages in diverse agroecosystem.</span><span> In general, a cereal species with strong phenotypic plasticity intercropped with a legume species with strong physiological plasticity can maximize the yield advantage of intercropping.</span></p>
Temporal stability of productivity is associated with complementarity and competitive intensities in intercropping
Year to year stability in crop production is a crucial aspect of feeding a growing global population. Evidence from natural ecosystems shows that increasing plant diversity generally increases the temporal stability of productivity; however, we have little knowledge of the mechanisms by which diversity affects stability. In fact, understanding the drivers of stability is a major knowledge gap in our understanding of biodiversity and ecosystem function in general. We varied resource inputs into crop monocultures and intercropping of maize/pea and maize/rapeseed for three years in field experiments to create a wide range of values for temporal stability, complementarity effects, selection effects, competition, and facilitation. We correlated whole-system temporal stability in productivity with these values and the stability of competitively subordinate species and competitively dominant species in the intercrops. We then used structural equation modeling (SEM), which combines complex path models with latent variables, to estimate how interspecific interactions for water, nitrogen, and phosphorus affected the relationships between stability and these values. Intercropping treatments did not increase stability, but the wide range of stability created by our experiments allowed us to explore the relationship of many factors with stability. Complementarity correlated positively with the temporal stability of grain yield and aboveground biomass, suggesting that either facilitative interactions or niche partitioning shifted over time in ways that promoted stability. Furthermore, the temporal stability of total productivity of intercropping relied most on the stability of more productive species. However, facilitation tested by relative interaction index (RII) independently did not correlate with stability, but the temporal stability of the whole system increased as the competitive effects of competitively dominant species (pea and rapeseed) on competitively subordinate species (maize) decreased, and was highest when these competitive effects were virtually zero. SEM indicated that as competition for soil nitrogen from competitively dominant species on competitively subordinate species decreased, the overall temporal stability of whole-system aboveground biomass increased. This stability then led to greater stability in grain production. Our findings indicate that complex shifts in complementarity and competitive intensities are likely to be key mechanisms that maintain temporal stability in species-diverse agriculture, and potentially in natural systems.
Data from: The interplay of intercropping, wildflower strips and weeds in conservation biological control and productivity
<p>Diversifying agroecosystems is instrumental to reduce pesticide use in agriculture. While different diversification practices have the potential to reduce pests, their integration at the agroecosystem level and the evaluation of their multifunctional effects remain limited. Through a two-year field experiment conducted in Germany, we tested whether associating intercropping (faba bean-wheat, followed by breadseed poppy-barley) with pluriannual wildflower strips strengthens the biological regulation of aphid pests and weeds, and enhances cropping system productivity. The contribution of flowering weeds to conservation biological control was also analysed. Aphid colonization rates, but also predator colonization and predation rates, on bean and poppy were consistently lower in intercropping compared to sole cropping. Associating wildflower strips to intercropping enhanced aphid predation in bean-wheat intercropping, and further reduced aphid colonization at 10 m distance from the flower strip but not at 20 m in poppy-barley intercropping. Weed biomass was strongly reduced in intercropping compared to sole crop bean and poppy, and did not significantly affect bean and poppy yields in intercropping. The cover of one flowering weed species, <em>Matricaria recutita</em>, was negatively correlated to aphid colonization rate and positively correlated to predation rate in bean-wheat intercropping. In poppy-barley intercropping, <em>M. recutita</em> flowers were visited more often by predatory hoverflies in plots adjacent to wildflower strips. Finally, land equivalent ratio, measuring land-use efficiency, was consistently higher than 1, and the highest in bean-wheat intercropping associated to wildflower strips. The study shows that intercropping is key to control multiple pests and enhance land-use efficiency, and demonstrates that associating wildflower strips to intercropping can strengthen biological control and cropping system productivity. Flowering weeds, maintained at an acceptable level through intercropping, turn out to be relevant functional biodiversity in interacting with wildflower strips to support natural enemies for conservation biological control.</p>
Soil properties and crop yield in fruit orchards under Mediterranean conditions in terms of intercropping, tillage and fertilizer type
<p>This data set contains a data-mining performed to assess the impact of intercropping, tillage and fertilizer type on soil and crop yield in fruit orchards under Mediterranean conditions by a further meta-analysis of the data. </p> <p>These data correspond to the open-access article "The impact of intercropping, tillage and fertilizer type on soil and crop yield in fruit orchards under Mediterranean conditions: A meta-analysis of field studies" published in Agricultural Systems. (<a href="https://doi.org/10.1016/j.agsy.2019.102736">https://doi.org/10.1016/j.agsy.2019.102736</a>), funded by he European Commission Horizon 2020 project Diverfarming [grant agreement 728003]. Raúl Zornoza acknowledges the financial support from the Spanish Ministry of Science, Innovation and Universities through the “Ramón y Cajal” Program [RYC-2015-18758].. </p> <p> </p>
Interspecific interactions regulate plant reproductive allometry in cereal-legume intercropping systems
<p>1. Calls for the application of ecological principles in agriculture have gained momentum. Intercropping systems are designed by growing two, or more, annual crop species in the same field, aiming for a better resource use efficiency. However, assembly rules for their design are lacking. Notably, it is unknown whether species performances are maximized during both the vegetative and reproductive phases given the sensitivity of reproductive allocation rules to resource limitation. Interestingly, ecological theory provides expectations regarding putative invariance of plant reproductive allometry (PRA) under non-limiting conditions for plant growth. Here we examined whether and how PRA changes in response to plant-plant interactions in intercropping systems, which can inform both ecological theory and the understanding of the functioning of intercropping systems.</p> <p>2. We analyzed a dataset of 28 field cereal-legume intercropping trials from various climatic and management conditions across Western Europe. PRA was quantified in both mixing and single-species situations.</p> <p>3. PRA was positively impacted in specific management conditions, leading to a greater increase in yield for a given increase in plant size. Variations in PRA were more beneficial for legumes grown in unfertilized mixtures, which explains their use as a key component in actual intercropping systems. The response for cereals was similar but less pronounced in magnitude, and was greater under resource limiting conditions. Focusing on intercropping conditions, hierarchical competition (indicated by biomass difference between intercropped species) appears as a strong driver of the reproductive output of a given species.</p> <p>4. Synthesis and applications. PRA behaves in crop species in the same way as it does in wild species. However, contrary to theoretical expectations about an overall invariance of PRA, we highlighted taxon-specific and context-dependent effects of plant-plant interactions on PRA. This systematic deviation to PRA expectations could be leveraged to cultivate each species up to its reproductive optimum while accounting for the performance of the other, whether farmer's objective is to favor one species or to reach an equilibrium in seed production. Sowing density and cultivar choice could regulate the biomass of each component, with specific targets derived from allometric relationships, aiming for an optimal reproductive allocation in mixtures.21-Jul-2021</p>
Database of intercrop configurations and agroecosystems for cabbages
<p>This database was created for the Sureveg project. It collects existing data on cabbage intercropping regarding the configuration of the system and the productivity and product quality provisioning services.<br> It was used in a meta-analyses to study the effect of intercropping on the provisioning services of cabbage.</p>
Pan trap and plant-flower visitor observation data for: Multi-species crop mixtures increase insect biodiversity in an intercropping experiment
<ol> <li><span>Recent biodiversity declines require action across sectors such as agriculture. The situation is particularly acute for arthropods, a species-rich taxon providing important ecosystem services. To counteract negative consequences of agricultural intensification, creating a less hostile agricultural "matrix" through growing crop mixtures can reduce harm for arthropods without yield losses. </span></li> <li><span>While grassland biodiversity experiments showed positive plant biodiversity effects on arthropods, experiments manipulating crop diversity and agrochemical input use to study arthropods are lacking. </span></li> <li><span>Here, we experimentally manipulated crop diversity (1–3 species, fallows), crop species (wheat, faba bean, linseed, oilseed rape) and agrochemical input (high vs. low) and studied responses of arthropod biodiversity. We tested if arthropod responses were affected by crop diversity, mixtures and management. Additionally, we measured crop biomass.</span></li> <li><span>Crop biomass increased with crop diversity under high-input mangement, while under low management intensity, biomass was highest in two-species mixtures.</span></li> <li><span>Increasing crop diversity positively affected arthropod abundance and diversity, both under low- and high-input management. Crop mixtures containing faba bean, linseed or oilseed rape had particularly high arthropod diversity.</span></li> <li><span>Mass-flowering crops attracted more arthropods than legumes or cereals. Integrating intercropping into agricultural systems could increase flower visits by insects up to 15 million per hectare, thus likely also supporting pollination and pest-control ecosystem services.</span></li> <li><span>Flower-visitor network complexity increased in mixtures containing linseed and faba bean, and under low-input management.</span></li> <li><span>Intercropping can counteract insect declines in farmland by creating beneficial matrix habitat without compromising crop yield.</span></li> </ol>
Original data for for intercropped maize experiments, root barrier experiments in intercropped maize, and unilateral shading experiments
<p><span>Intercropping improves resource utilization and yield; however, shading causes a decline in yield. Under wide-narrow-row maize-soybean intercropping, maize plants are subjected to weak unilateral illumination and exhibit high photosynthetic performance. However, the mechanism regulating photosynthesis under unilateral weak light remains unknown. Therefore, we conducted an experiment with different planting configurations and two controlled environments to investigate photosynthesis, sugar metabolism, and photosynthate allocation in unshaded and shaded leaves under weak light. All three experiments detected an increase in the net photosynthetic rate (<em>Pn</em>) of unshaded leaves on one side with an increase in the level of shade on the other side leaves. On the contrary, the concentration of sucrose and starch and the number of starch granules in the unshaded leaves decreased with increased shading due to the transfer of abundant <sup>13</sup>C into the grains. However, sink loss with ear removal reduced the <em>Pn</em> of unshaded leaves, limiting their ability to transport sugar. Detailed analysis showed that intense unilateral shade (40% to 20% normal light) reduced grain yield (37.6% to 54.4%) but not mild unilateral shade (60% normal light). We further found that in unshaded leaves, <em>Agpsl, Bmy, </em>and<em> Mexl</em>-like significantly influenced sucrose and starch metabolism, while <em>Sweet13a</em> and <em>Sut1</em> were crucial for sugar export. <em>Sps1, Agpsl, </em>and<em> Sweet13c</em> were crucial for sugar metabolism and export in shaded leaves. Thus, our study confirmed that under unilateral illumination, unshaded leaves, which transported photosynthates to the ear, contributed significantly to the grain filling and reduced sugar concentration, resulting in a higher photosynthetic performance, while the shaded leaves synthesized fewer photosynthates, primarily for their growth and development. We, therefore, propose a narrow-row spacing (40 cm) that provides appropriate unilateral shade (60% normal light) and limits yield reduction in a wide-narrow-row intercropping system. </span></p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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