Hoffmann, Munir P.

[["dc.bibliographiccitation.firstpage","14"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of Agronomy and Crop Science"],["dc.bibliographiccitation.lastpage","28"],["dc.bibliographiccitation.volume","203"],["dc.contributor.author","Hoffmann, M. P."],["dc.contributor.author","Llewellyn, R. S."],["dc.contributor.author","Davoren, C. W."],["dc.contributor.author","Whitbread, A. M."],["dc.date.accessioned","2020-12-10T18:28:53Z"],["dc.date.available","2020-12-10T18:28:53Z"],["dc.date.issued","2016"],["dc.identifier.doi","10.1111/jac.12159"],["dc.identifier.issn","0931-2250"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/76446"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Assessing the Potential for Zone-Specific Management of Cereals in Low-Rainfall South-Eastern Australia: Combining On-Farm Results and Simulation Analysis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","273"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Global Change Biology"],["dc.bibliographiccitation.lastpage","286"],["dc.bibliographiccitation.volume","24"],["dc.contributor.author","Abdulai, Issaka"],["dc.contributor.author","Vaast, Philippe"],["dc.contributor.author","Hoffmann, Munir P."],["dc.contributor.author","Asare, Richard"],["dc.contributor.author","Jassogne, Laurence"],["dc.contributor.author","Van Asten, Piet"],["dc.contributor.author","Rötter, Reimund P."],["dc.contributor.author","Graefe, Sophie"],["dc.date.accessioned","2020-12-10T18:28:41Z"],["dc.date.available","2020-12-10T18:28:41Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1111/gcb.13885"],["dc.identifier.issn","1354-1013"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/76381"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Cocoa agroforestry is less resilient to sub-optimal and extreme climate than cocoa in full sun"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","106887"],["dc.bibliographiccitation.journal","Agriculture, Ecosystems & Environment"],["dc.bibliographiccitation.volume","295"],["dc.contributor.author","Sarmiento-Soler, Alejandra"],["dc.contributor.author","Vaast, Philippe"],["dc.contributor.author","Hoffmann, Munir P."],["dc.contributor.author","Jassogne, Laurence"],["dc.contributor.author","van Asten, Piet"],["dc.contributor.author","Graefe, Sophie"],["dc.contributor.author","Rötter, Reimund P."],["dc.date.accessioned","2021-04-14T08:26:04Z"],["dc.date.available","2021-04-14T08:26:04Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1016/j.agee.2020.106887"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81821"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.issn","0167-8809"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.title","Effect of cropping system, shade cover and altitudinal gradient on coffee yield components at Mt. Elgon, Uganda"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","150"],["dc.bibliographiccitation.journal","Field Crops Research"],["dc.bibliographiccitation.lastpage","166"],["dc.bibliographiccitation.volume","217"],["dc.contributor.author","Nelson, W. C. D."],["dc.contributor.author","Hoffmann, M. P."],["dc.contributor.author","Vadez, V."],["dc.contributor.author","Roetter, R. P."],["dc.contributor.author","Whitbread, A. M."],["dc.date.accessioned","2018-02-12T10:40:41Z"],["dc.date.available","2018-02-12T10:40:41Z"],["dc.date.issued","2018"],["dc.description.abstract","With the potential threat of more frequent climate extremes putting semi-arid crop production in jeopardy, there is a need to establish more climate resilient cropping practices. Intercropping is often practiced by farmers in semi-arid regions and is perceived as a risk reducing practice. However, there is little knowledge of how and to what extent it can be a viable option under future conditions. As testing a complex adaptation strategy in controlled environments is difficult, conducting field experiments in the dry season offers opportunities to test cropping systems under extreme but real-world conditions. Consequently, a field trial was run in semi-arid India over a two-year period (2015 and 2016) in the dry and hot (summer) season. These trials were set up as a split-split-plot experiment with four replicates to assess the performance of simultaneously sown sole versus intercropped stands of pearl millet and cowpea, with two densities (30 cm and 60 cm spacing between rows - both with 10 cm spacing within rows), and three water treatments (severe stress, partial stress, and well-watered) applied with drip irrigation. Results showed that intercropping pearl millet led to a significantly lower total grain yield in comparison to the sole equivalent. Pearl millet’s highest yields were 1350 kg ha−1 when intercropped and 2970 kg ha−1 when grown as a sole crop; for cowpea, 990 kg ha−1 when intercropped, and 1150 kg ha−1 as a sole crop. Interestingly, even when maximum daily temperatures reached up to 42.2 °C (on Julian day 112 in 2016), well-watered, pearl millet produced reasonable yields. Cowpea yields were often lower than 1000 kg ha−1. Only under the highest irrigation treatment (well-watered) sole cropped, low density were yields of 1150 and 1110 kg ha−1 achieved in 2015 and 2016, respectively. We conclude that successful intercropping systems must be highly specific to conditions and demands. More research would be needed to identify suitable cowpea genotypes and planting densities that could allow for higher intercropped pearl millet yields."],["dc.identifier.doi","10.1016/j.fcr.2017.12.014"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/12146"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.title","Testing pearl millet and cowpea intercropping systems under high temperatures"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","3935"],["dc.bibliographiccitation.issue","16"],["dc.bibliographiccitation.journal","Biogeosciences"],["dc.bibliographiccitation.lastpage","3958"],["dc.bibliographiccitation.volume","19"],["dc.contributor.author","Pfeiffer, Mirjam"],["dc.contributor.author","Hoffmann, Munir P."],["dc.contributor.author","Scheiter, Simon"],["dc.contributor.author","Nelson, William"],["dc.contributor.author","Isselstein, Johannes"],["dc.contributor.author","Ayisi, Kingsley"],["dc.contributor.author","Odhiambo, Jude J."],["dc.contributor.author","Rötter, Reimund"],["dc.date.accessioned","2022-10-04T10:21:31Z"],["dc.date.available","2022-10-04T10:21:31Z"],["dc.date.issued","2022"],["dc.description.abstract","Abstract. Smallholder farming systems in southern Africa are characterized by low-input management and integrated livestock and crop production. Low yields and dry-season feed shortages are common. To meet growing food demands, sustainable intensification (SI) of these systems is an important policy goal. While mixed crop–livestock farming may offer greater productivity, it implies trade-offs between feed supply, soil nutrient replenishment, soil carbon accumulation, and other ecosystem functions (ESFs) and ecosystem services (ESSs). Such settings require a detailed system understanding to assess the performance of prevalent management practices and identify potential SI strategies. Models can evaluate different management scenarios on extensive spatiotemporal scales and help identify suitable management strategies. Here, we linked the process-based models APSIM (Agricultural Production Systems sIMulator) for cropland and aDGVM2 (Adaptive Dynamic Global Vegetation Model) for rangeland to investigate the effects of (i) current management practices (minimum input crop–livestock agriculture), (ii) an SI scenario for crop production (with dry-season cropland grazing), and (iii) a scenario with separated rangeland and cropland management (livestock exclusion from cropland) in two representative villages of the Limpopo Province, South Africa, for the period from 2000 to 2010. We focused on the following ESFs and ESSs provided by cropland and rangeland: yield and feed provision, soil carbon storage, cropland leaf area index (LAI), and soil water. Village surveys informed the models of farming practices, livelihood conditions, and environmental circumstances. We found that modest SI measures (small fertilizer quantities, weeding, and crop rotation) led to moderate yield increases of between a factor of 1.2 and 1.6 and reduced soil carbon loss, but they sometimes caused increased growing-season water limitation effects. Thus, SI effects strongly varied between years. Dry-season crop residue grazing reduced feed deficits by approximately a factor of 2 compared with the rangeland-only scenario, but it could not fully compensate for the deficits during the dry-to-wet season transition. We expect that targeted deficit irrigation or measures to improve water retention and the soil water holding capacity may enhance SI efforts. Off-field residue feeding during the dry-to-wet season transition could further reduce feed deficits and decrease rangeland grazing pressure during the early growing season. We argue that integrative modeling frameworks are needed to evaluate landscape-level interactions between ecosystem components, evaluate the climate resilience of landscape-level ecosystem services, and identify effective mitigation and adaptation strategies."],["dc.identifier.doi","10.5194/bg-19-3935-2022"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/114433"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-600"],["dc.relation.eissn","1726-4189"],["dc.title","Modeling the effects of alternative crop–livestock management scenarios on important ecosystem services for smallholder farming from a landscape perspective"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","28"],["dc.bibliographiccitation.journal","Agriculture, Ecosystems & Environment"],["dc.bibliographiccitation.lastpage","44"],["dc.bibliographiccitation.volume","259"],["dc.contributor.author","Hoffmann, Munir P."],["dc.contributor.author","Isselstein, Johannes"],["dc.contributor.author","Rötter, Reimund P."],["dc.contributor.author","Kayser, Manfred"],["dc.date.accessioned","2018-03-13T13:48:53Z"],["dc.date.available","2018-03-13T13:48:53Z"],["dc.date.issued","2018"],["dc.description.abstract","Currently there is a shift from grassland based forage production towards maize systems in the Low Countries of north-west Europe. Breaking-up grassland and turning it into arable fields is associated with high nitrate leaching. Crop models can help to identify cropping strategies to reduce nitrate leaching by performing long-term simulation experiments. This study aimed: (i) to evaluate the crop model APSIM against field trial data, in particular nitrogen (N) balance components N-uptake, leaching and soil mineral N, and (ii) conduct a simulation experiment for assessing suitable management practices over a long period using historical records (1980–2015). Evaluation data consisted of two rotation types over two years (maize-maize and barley-mustard-maize) with two nitrogen (N) fertilizer schemes (zero and standard fertilizer: 160 for maize and 120 kg N/ha for barley) after the break-up of grassland. Experiments were carried out at three different sites with contrasting soils in north-west Germany. Results showed that APSIM was capable of simulating the crop rotations and fertilizer applications satisfactorily: Total biomass (n = 21) was reproduced with a root mean square error (RMSE) of 1139 kg/ha against an observed mean of 9915 kg/ha across crops. Total N uptake (n = 21) was simulated well with a RMSE of 22 kg/ha (against observed mean 144 kg/ha). Simulated soil mineral N in the top 0–30 cm (n = 253) and 0–90 cm (n = 33) showed a high index of agreement (IA) of 0.90 and 0.86, respectively. Comparisons observed vs simulated over time confirmed that APSIM was able to capture the N dynamics in the soil. Extractable soil water was also modelled well. Leached nitrate (n = 16) was simulated with a RMSE of 50 kg N/ha, whereby APSIM captured the high nitrate losses of up to 240 kg N/ha/winter period caused by the high mineralization and the fertilization. In the long-term the simulation experiment showed that fertilization of maize did not result in additional biomass, but in higher leaching losses. Mustard was effective in reducing nitrate leaching but is difficult to implement in practice. Finally, the study demonstrated that crop modelling complements conventional analysis very well in identifying environmentally sound and profitable management practices for complex situations in soil-crop systems such as grassland break-up."],["dc.identifier.doi","10.1016/j.agee.2018.02.009"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/12996"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.title","Nitrogen management in crop rotations after the break-up of grassland: Insights from modelling"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","231"],["dc.bibliographiccitation.journal","Agricultural and Forest Meteorology"],["dc.bibliographiccitation.lastpage","242"],["dc.bibliographiccitation.volume","266-267"],["dc.contributor.author","Sarmiento-Soler, Alejandra"],["dc.contributor.author","Vaast, Philippe"],["dc.contributor.author","Hoffmann, Munir P."],["dc.contributor.author","Rötter, Reimund P."],["dc.contributor.author","Jassogne, Laurence"],["dc.contributor.author","van Asten, Piet J.A."],["dc.contributor.author","Graefe, Sophie"],["dc.date.accessioned","2020-12-10T14:22:16Z"],["dc.date.available","2020-12-10T14:22:16Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1016/j.agrformet.2018.12.006"],["dc.identifier.issn","0168-1923"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71563"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.title","Water use of Coffea arabica in open versus shaded systems under smallholder’s farm conditions in Eastern Uganda"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","98"],["dc.bibliographiccitation.journal","European Journal of Agronomy"],["dc.bibliographiccitation.lastpage","111"],["dc.bibliographiccitation.volume","70"],["dc.contributor.author","Kollas, Chris"],["dc.contributor.author","Kersebaum, Kurt Christian"],["dc.contributor.author","Nendel, Claas"],["dc.contributor.author","Manevski, Kiril"],["dc.contributor.author","Müller, Christoph"],["dc.contributor.author","Palosuo, Taru"],["dc.contributor.author","Armas-Herrera, Cecilia M."],["dc.contributor.author","Beaudoin, Nicolas"],["dc.contributor.author","Bindi, Marco"],["dc.contributor.author","Charfeddine, Monia"],["dc.contributor.author","Conradt, Tobias"],["dc.contributor.author","Constantin, Julie"],["dc.contributor.author","Eitzinger, Josef"],["dc.contributor.author","Ewert, Frank"],["dc.contributor.author","Ferrise, Roberto"],["dc.contributor.author","Gaiser, Thomas"],["dc.contributor.author","Cortazar-Atauri, Iñaki Garcia de"],["dc.contributor.author","Giglio, Luisa"],["dc.contributor.author","Hlavinka, Petr"],["dc.contributor.author","Hoffmann, Holger"],["dc.contributor.author","Hoffmann, Munir P."],["dc.contributor.author","Launay, Marie"],["dc.contributor.author","Manderscheid, Remy"],["dc.contributor.author","Mary, Bruno"],["dc.contributor.author","Mirschel, Wilfried"],["dc.contributor.author","Moriondo, Marco"],["dc.contributor.author","Olesen, Jørgen E."],["dc.contributor.author","Öztürk, Isik"],["dc.contributor.author","Pacholski, Andreas"],["dc.contributor.author","Ripoche-Wachter, Dominique"],["dc.contributor.author","Roggero, Pier Paolo"],["dc.contributor.author","Roncossek, Svenja"],["dc.contributor.author","Rötter, Reimund Paul"],["dc.contributor.author","Ruget, Françoise"],["dc.contributor.author","Sharif, Behzad"],["dc.contributor.author","Trnka, Mirek"],["dc.contributor.author","Ventrella, Domenico"],["dc.contributor.author","Waha, Katharina"],["dc.contributor.author","Wegehenkel, Martin"],["dc.contributor.author","Weigel, Hans-Joachim"],["dc.contributor.author","Wu, Lianhai"],["dc.date.accessioned","2017-09-07T11:47:52Z"],["dc.date.available","2017-09-07T11:47:52Z"],["dc.date.issued","2015"],["dc.description.abstract","Diversification of crop rotations is considered an option to increase the resilience of European crop production under climate change. So far, however, many crop simulation studies have focused on predicting single crops in separate one-year simulations. Here, we compared the capability of fifteen crop growth simulation models to predict yields in crop rotations at five sites across Europe under minimal calibration. Crop rotations encompassed 301 seasons of ten crop types common to European agriculture and a diverse set of treatments (irrigation, fertilisation, CO2 concentration, soil types, tillage, residues, intermediate or catch crops). We found that the continuous simulation of multi-year crop rotations yielded results of slightly higher quality compared to the simulation of single years and single crops. Intermediate crops (oilseed radish and grass vegetation) were simulated less accurately than main crops (cereals). The majority of models performed better for the treatments of increased CO2 and nitrogen fertilisation than for irrigation and soil-related treatments. The yield simulation of the multi-model ensemble reduced the error compared to single-model simulations. The low degree of superiority of continuous simulations over single year simulation was caused by (a) insufficiently parameterised crops, which affect the performance of the following crop, and (b) the lack of growth-limiting water and/or nitrogen in the crop rotations under investigation. In order to achieve a sound representation of crop rotations, further research is required to synthesise existing knowledge of the physiology of intermediate crops and of carry-over effects from the preceding to the following crop, and to implement/improve the modelling of processes that condition these effects."],["dc.identifier.doi","10.1016/j.eja.2015.06.007"],["dc.identifier.gro","3149396"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/6068"],["dc.language.iso","en"],["dc.notes.intern","Roetter Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1161-0301"],["dc.title","Crop rotation modelling - A European model intercomparison"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","571"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Water"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Kersebaum, Kurt"],["dc.contributor.author","Kroes, Joop"],["dc.contributor.author","Gobin, Anne"],["dc.contributor.author","Takáč, Jozef"],["dc.contributor.author","Hlavinka, Petr"],["dc.contributor.author","Trnka, Miroslav"],["dc.contributor.author","Ventrella, Domenico"],["dc.contributor.author","Giglio, Luisa"],["dc.contributor.author","Ferrise, Roberto"],["dc.contributor.author","Moriondo, Marco"],["dc.contributor.author","Dalla Marta, Anna"],["dc.contributor.author","Luo, Qunying"],["dc.contributor.author","Eitzinger, Josef"],["dc.contributor.author","Mirschel, Wilfried"],["dc.contributor.author","Weigel, Hans-Joachim"],["dc.contributor.author","Manderscheid, Remy"],["dc.contributor.author","Hoffmann, Munir"],["dc.contributor.author","Nejedlik, Pavol"],["dc.contributor.author","Iqbal, Muhammad"],["dc.contributor.author","Hösch, Johannes"],["dc.date.accessioned","2019-07-09T11:43:12Z"],["dc.date.available","2019-07-09T11:43:12Z"],["dc.date.issued","2016"],["dc.description.abstract","Crop productivity and water consumption form the basis to calculate the water footprint (WF) of a specific crop. Under current climate conditions, calculated evapotranspiration is related to observed crop yields to calculate WF. The assessment of WF under future climate conditions requires the simulation of crop yields adding further uncertainty. To assess the uncertainty of model based assessments of WF, an ensemble of crop models was applied to data from five field experiments across Europe. Only limited data were provided for a rough calibration, which corresponds to a typical situation for regional assessments, where data availability is limited. Up to eight models were applied for wheat. The coefficient of variation for the simulated actual evapotranspiration between models was in the range of 13%–19%, which was higher than the inter-annual variability. Simulated yields showed a higher variability between models in the range of 17%–39%. Models responded differently to elevated CO2 in a FACE (Free-Air Carbon Dioxide Enrichment) experiment, especially regarding the reduction of water consumption. The variability of calculated WF between models was in the range of 15%–49%. Yield predictions contributed more to this variance than the estimation of water consumption. Transpiration accounts on average for 51%–68% of the total actual evapotranspiration."],["dc.identifier.doi","10.3390/w8120571"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14345"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58841"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","2073-4441"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Assessing Uncertainties of Water Footprints Using an Ensemble of Crop Growth Models on Winter Wheat"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e733"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Global Change Biology"],["dc.bibliographiccitation.lastpage","e740"],["dc.bibliographiccitation.volume","24"],["dc.contributor.author","Abdulai, Issaka"],["dc.contributor.author","Vaast, Philippe"],["dc.contributor.author","Hoffmann, Munir P."],["dc.contributor.author","Asare, Richard"],["dc.contributor.author","Jassogne, Laurence"],["dc.contributor.author","Van Asten, Piet"],["dc.contributor.author","Rötter, Reimund P."],["dc.contributor.author","Graefe, Sophie"],["dc.date.accessioned","2018-02-12T10:41:33Z"],["dc.date.available","2018-02-12T10:41:33Z"],["dc.date.issued","2018"],["dc.description.abstract","Resilience of cocoa agroforestry vs. full sun under extreme climatic conditions. In the specific case of our study, the two shade tree species associated with cocoa resulted in strong competition for water and became a disadvantage to the cocoa plants contrary to expected positive effects."],["dc.identifier.doi","10.1111/gcb.14044"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/12147"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.title","Cocoa agroforestry is less resilient to sub-optimal and extreme climate than cocoa in full sun: Reply to Norgrove (2017)"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]