Frontiers and perspectives on research strategies in grassland technology
J. Schellberg A D and E. Verbruggen B C
+ Author Affiliations
- Author Affiliations
A Institute of Crop Science and Resource Conservation, Crop Science Group, University of Bonn, Katzenburgweg 5, D 53115 Bonn, Germany.
B Institut für Biologie, Freie Universität Berlin, Altensteinstraße 6, 14195 Berlin, Germany.
C Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), 14195 Berlin, Germany.
D Corresponding author. Email: j.schellberg@uni-bonn.de
Crop and Pasture Science 65(6) 508-523 https://doi.org/10.1071/CP13429
Submitted: 9 December 2013 Accepted: 2 April 2014 Published: 17 June 2014
Abstract
Grassland scientists and farmers are increasingly faced with emerging new technologies and information systems that have been primarily developed in engineering sciences, in particular, precision agriculture, remote sensing, geographic information and biotechnology. Judgment upon whether the implementation of any of these technologies may be beneficial in economic and ecological respects is challenging, especially to those who have to make on-farm decisions. New technologies have been applied on grassland only partially and with some delay compared with arable land. However, as we will show here, there is scope for successful implementation of new technologies in various climatic regions and for a wide range of applications. The paper presents the most important recent developments of new technologies in agriculture that have scope for application in grasslands. It defines the relevant terms and processes, provides examples of successful implementation, and discusses future directions and research needs.
Additional keywords: biotechnology, grassland, new technologies, precision agriculture, remote sensing.
References
Adam E, Mutanga O, Rugege D (2010) Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation, a review. Wetlands Ecology and Management 18, 281–296.| Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation, a review.Crossref | GoogleScholarGoogle Scholar |
Adams JB, Adams JD (1984) Geologic mapping using LANDSAT MSS and TM images, removing vegetation by modeling spectral mixtures. In ‘Remote sensing for exploration geology. International Symposium on Remote Sensing of Environment, 3rd Thematic Conference: Proceedings’. pp. 615–622. (Environmental Research Institute of Michigan: Ann Arbor, MI, USA)
Asrar G, Fuchs M, Kanemasu ET, Hatfield JL (1984) Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agronomy Journal 76, 300–306.
| Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat.Crossref | GoogleScholarGoogle Scholar |
Ayanu YZ, Conrad C, Nauss T, Wegmann M, Koellner T (2012) Quantifying and mapping ecosystem services supplies and demands, a review of remote sensing applications. Environmental Science & Technology 46, 8529–8541.
| Quantifying and mapping ecosystem services supplies and demands, a review of remote sensing applications.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XhtVGmt77M&md5=0d2861109df5d304b1d8fdb6cf3747a5CAS |
Bailey JS, Wang K, Jordan C, Higgins A (2001) Use of precision agriculture technology to investigate spatial variability in nitrogen yields in cut grassland. Chemosphere 42, 131–140.
| Use of precision agriculture technology to investigate spatial variability in nitrogen yields in cut grassland.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXmvFymt7w%3D&md5=561e11c8a42a23223f3a8684758d3a5cCAS | 11237291PubMed |
Bakker MG, Manter DK, Sheflin AM, Weir TL, Vivanco JM (2012) Harnessing the rhizosphere microbiome through plant breeding and agricultural management. Plant and Soil 360, 1–13.
| Harnessing the rhizosphere microbiome through plant breeding and agricultural management.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XhsFWisbzI&md5=dd84881fd2b8d889373a6dce78592b58CAS |
Barrett PD, Laidlaw AS, Mayne CS (2005) GrazeGro, a European herbage growth model to predict pasture production in perennial ryegrass swards for decision support. European Journal of Agronomy 23, 37–56.
| GrazeGro, a European herbage growth model to predict pasture production in perennial ryegrass swards for decision support.Crossref | GoogleScholarGoogle Scholar |
Bingham MA, Biondini M (2009) Mycorrhizal hyphal length as a function of plant community richness and composition in restored northern tallgrass prairies (USA). Rangeland Ecology and Management 62, 60–67.
| Mycorrhizal hyphal length as a function of plant community richness and composition in restored northern tallgrass prairies (USA).Crossref | GoogleScholarGoogle Scholar |
Bishop-Hurley GJ, Swain DL, Anderson DM, Sikka P, Crossman C, Corke P (2007) Virtual fencing applications, implementing and testing an automated cattle control system. Computers and Electronics in Agriculture 56, 14–22.
| Virtual fencing applications, implementing and testing an automated cattle control system.Crossref | GoogleScholarGoogle Scholar |
Brown L, Scholefield D, Jewkes EC, Lockyer DR, del Prado A (2005) NGAUGE, A decision support system to optimise N fertilisation of British grassland for economic and environmental goals. Agriculture, Ecosystems & Environment 109, 20–39.
| NGAUGE, A decision support system to optimise N fertilisation of British grassland for economic and environmental goals.Crossref | GoogleScholarGoogle Scholar |
Cheng L, Booker FL, Tu C, Burkey KO, Zhou L, Shew HD, Rufty TW, Hu S (2012) Arbuscular mycorrhizal fungi increase organic carbon decomposition under elevated CO2. Science 337, 1084–1087.
| Arbuscular mycorrhizal fungi increase organic carbon decomposition under elevated CO2.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38Xht1GrsbfL&md5=97ea08511623d04b6e4c52e2202db436CAS | 22936776PubMed |
Chopping MJ, Rango A, Havstad KM, Schiebe FR, Ritchie JC, Schmugge TJ, French AN, Su L, McKee L, Davis MR (2003) Canopy attributes of desert grassland and transition communities derived from multiangular airborne imagery. Remote Sensing of Environment 85, 339–354.
| Canopy attributes of desert grassland and transition communities derived from multiangular airborne imagery.Crossref | GoogleScholarGoogle Scholar |
Clevers JGPW, Van der Heijden GWAM, Verzakov S, Schaepman ME (2007) Estimating grassland biomass using SVM band shaving of hyperspectral data. Photogrammetric Engineering and Remote Sensing 73, 1141–1148.
| Estimating grassland biomass using SVM band shaving of hyperspectral data.Crossref | GoogleScholarGoogle Scholar |
Clevers JGPW, Kooistra L, Schaepman ME (2008) Using spectral information from the NIR water absorption features for the retrieval of canopy water content. International Journal of Applied Earth Observation and Geoinformation 10, 388–397.
| Using spectral information from the NIR water absorption features for the retrieval of canopy water content.Crossref | GoogleScholarGoogle Scholar |
Colard A, Angelard C, Sanders IR (2011) Genetic exchange in an arbuscular mycorrhizal fungus results in increased rice growth and altered mycorrhiza-specific gene transcription. Applied and Environmental Microbiology 77, 6510–6515.
| Genetic exchange in an arbuscular mycorrhizal fungus results in increased rice growth and altered mycorrhiza-specific gene transcription.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhtl2isLjL&md5=3adb01d0df6f6cfdfec6cd4ccf80cfd3CAS | 21784911PubMed |
Cornelissen JHC, Lavorel S, Garnier E, Diaz S, Buchmann N, Gurvich DE, Reich PB, ter Steege H, Morgan HD, Van der Heijden MGA, Pausas JG, Poorter H (2003) A handbook of protocols for standardised and easy measurement of plant functional traits worldwide. Australian Journal of Botany 51, 335–380.
| A handbook of protocols for standardised and easy measurement of plant functional traits worldwide.Crossref | GoogleScholarGoogle Scholar |
Cox S (2002) Information technology, the global key to precision agriculture and sustainability. Computers and Electronics in Agriculture 36, 93–111.
| Information technology, the global key to precision agriculture and sustainability.Crossref | GoogleScholarGoogle Scholar |
De Deyn GB, Shiel RS, Ostle NJ, Mcnamara NP, Oakley S, Young I, Freeman C, Fenner N, Quirk H, Bardgett RD (2011) Additional carbon sequestration benefits of grassland diversity restoration. Journal of Applied Ecology 48, 600–608.
| Additional carbon sequestration benefits of grassland diversity restoration.Crossref | GoogleScholarGoogle Scholar |
Díaz S, Cabido M (2001) Vive la difference, plant functional diversity matters to ecosystem processes. Trends in Ecology & Evolution 16, 646–655.
| Vive la difference, plant functional diversity matters to ecosystem processes.Crossref | GoogleScholarGoogle Scholar |
Dieleman WIJ, Vicca S, Dijkstra F, Hagedorn F, Hovenden MJ, Larsen KS, Morgan J, Volder A, Beier C, Dukes JS, King J, Leuzinger S, Linder S, Luo Y, Oren R, De Angelis P, Tingey D, Hoosbeek MR, Janssens IA (2012) Simple additive effects are rare, a quantitative review of plant biomass and soil process responses to combined manipulations of CO2 and temperature. Global Change Biology 18, 2681–2693.
| Simple additive effects are rare, a quantitative review of plant biomass and soil process responses to combined manipulations of CO2 and temperature.Crossref | GoogleScholarGoogle Scholar |
Duru M, Adam M, Cruz P, Martin G, Ansquer P, Ducouytieux C, Jouany C, Theau JP, Viegas J (2009) Modelling above-ground herbage mass for a wide range of grassland community types. Ecological Modelling 220, 209–225.
| Modelling above-ground herbage mass for a wide range of grassland community types.Crossref | GoogleScholarGoogle Scholar |
Eisenhauer N, Milcu A, Sabais ACW, Bessler H, Brenner J, Engels C, Klarner B, Maraun M, Partsch S, Roscher C, Schonert F, Temperton VM, Thomisch K, Weigelt A, Weisser WW, Scheu S (2011) Plant diversity surpasses plant functional groups and plant productivity as driver of soil biota in the long term. PLoS ONE 6, e16055.
| Plant diversity surpasses plant functional groups and plant productivity as driver of soil biota in the long term.Crossref | GoogleScholarGoogle Scholar | 21249208PubMed |
Ellenberg H, Weber HE, Düll R, Wirth V, Werner W, Paulissen D (1991) Zeigerwerte von Pflanzen in Mitteleuropa. In ‘Scripta Geobotanica. Vol 18’.
Ellis EC, Ramankutty N (2008) Putting people in the map, anthropogenic biomes of the world. Frontiers in Ecology and the Environment 6, 439–447.
| Putting people in the map, anthropogenic biomes of the world.Crossref | GoogleScholarGoogle Scholar |
Ellouze W, Hamel C, Cruz AFA, Ishii T, Gan Y, Bouzid S, St-Arnaud M (2012) Phytochemicals and spore germination, at the root of AMF host preference? Applied Soil Ecology 60, 98–104.
| Phytochemicals and spore germination, at the root of AMF host preference?Crossref | GoogleScholarGoogle Scholar |
Feilhauer H, Thonfeld F, Faude U, He KS, Rocchini D, Schmidtlein S (2013) Assessing floristic composition with multispectral sensors—A comparison based on monotemporal and multiseasonal field spectra. International Journal of Applied Earth Observation and Geoinformation 21, 218–229.
| Assessing floristic composition with multispectral sensors—A comparison based on monotemporal and multiseasonal field spectra.Crossref | GoogleScholarGoogle Scholar |
Frame J, Baker RD, Henderson AR (1995) Advances in grassland technology over the past fifty years. Revista Pastos 25, 155–192.
Franzluebbers AJ (2002) Water infiltration and soil structure related to organic matter and its stratification with depth. Soil & Tillage Research 66, 197–205.
| Water infiltration and soil structure related to organic matter and its stratification with depth.Crossref | GoogleScholarGoogle Scholar |
Fricke T, Wachendorf M (2013) Combining ultrasonic sward height and spectral signatures to assess the biomass of legume-grass swards. Computers and Electronics in Agriculture 99, 236–247.
| Combining ultrasonic sward height and spectral signatures to assess the biomass of legume-grass swards.Crossref | GoogleScholarGoogle Scholar |
Fricke T, Richter F, Wachendorf M (2011) Assessment of forage mass from grassland swards by height measurement using an ultrasonic sensor. Computers and Electronics in Agriculture 79, 142–152.
| Assessment of forage mass from grassland swards by height measurement using an ultrasonic sensor.Crossref | GoogleScholarGoogle Scholar |
Gao F, Masek J, Schwaller M, Hall F (2006) On the blending of the Landsat and MODIS surface reflectance, predicting daily Landsat surface reflectance. IEEE Transactions on Geoscience and Remote Sensing 44, 2207–2218.
| On the blending of the Landsat and MODIS surface reflectance, predicting daily Landsat surface reflectance.Crossref | GoogleScholarGoogle Scholar |
Garnier E, Navas ML (2012) A trait-based approach to comparative functional plant ecology, concepts, methods and applications for agroecology. A review. Agronomy for Sustainable Development 32, 365–399.
| A trait-based approach to comparative functional plant ecology, concepts, methods and applications for agroecology. A review.Crossref | GoogleScholarGoogle Scholar |
Gebhardt S, Schellberg J, Lock R, Kuhbauch W (2006) Identification of broad-leaved dock (Rumex obtusifolius L.) on grassland by means of digital image processing. Precision Agriculture 7, 165–178.
| Identification of broad-leaved dock (Rumex obtusifolius L.) on grassland by means of digital image processing.Crossref | GoogleScholarGoogle Scholar |
Gerhards R, Gutjahr C, Weis M, Keller M, Sökefeld M, Möhring J, Piepho HP (2012) Using precision farming technology to quantify yield effects attributed to weed competition and herbicide application. Weed Research 52, 6–15.
| Using precision farming technology to quantify yield effects attributed to weed competition and herbicide application.Crossref | GoogleScholarGoogle Scholar |
Geurts R, Lillo A, Bisseling T (2012) Exploiting an ancient signalling machinery to enjoy a nitrogen fixing symbiosis. Current Opinion in Plant Biology 15, 438–443.
| Exploiting an ancient signalling machinery to enjoy a nitrogen fixing symbiosis.Crossref | GoogleScholarGoogle Scholar | 22633856PubMed |
Gough C, Cullimore J (2011) Lipo-chitooligosaccharide signaling in endosymbiotic plant-microbe interactions. Molecular Plant-Microbe Interactions 24, 867–878.
| Lipo-chitooligosaccharide signaling in endosymbiotic plant-microbe interactions.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXptlegt70%3D&md5=45c4054e62c002bd1fb2dfd680daad58CAS | 21469937PubMed |
Grigera G, Oesterheld M (2004) Mycorrhizal colonization patterns under contrasting and topographic conditions in the grazing flooding Pampa (Argentina). Journal of Range Management 57, 601–605.
| Mycorrhizal colonization patterns under contrasting and topographic conditions in the grazing flooding Pampa (Argentina).Crossref | GoogleScholarGoogle Scholar |
Groffman P, Butterbach-Bahl K, Fulweiler R, Gold A, Morse J, Stander E, Tague C, Tonitto C, Vidon P (2009) Challenges to incorporating spatially and temporally explicit phenomena (hotspots and hot moments) in denitrification models. Biogeochemistry 93, 49–77.
| Challenges to incorporating spatially and temporally explicit phenomena (hotspots and hot moments) in denitrification models.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXivVSjs70%3D&md5=56ee93bd8be45df9ba2e7265c6c52976CAS |
Groot JCJ, Rossing WAH, Lantinga EA, Van Keulen H (2003) Exploring the potential for improved internal nutrient cycling in dairy farming systems, using an eco-mathematical model NJAS. Wageningen Journal of Life Sciences 51, 165–194.
| Exploring the potential for improved internal nutrient cycling in dairy farming systems, using an eco-mathematical model NJAS.Crossref | GoogleScholarGoogle Scholar |
Habekost M, Eisenhauer N, Scheu S, Steinbeiss S, Weigelt A, Gleixner G (2008) Seasonal changes in the soil microbial community in a grassland plant diversity gradient four years after establishment. Soil Biology & Biochemistry 40, 2588–2595.
| Seasonal changes in the soil microbial community in a grassland plant diversity gradient four years after establishment.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhtFCktLnN&md5=1eeb7ce5b0fe5a2b8270dff03414003fCAS |
Hajjar R, Jarvis DI, Gemmill-Herren B (2008) The utility of crop genetic diversity in maintaining ecosystem services. Agriculture, Ecosystems & Environment 123, 261–270.
| The utility of crop genetic diversity in maintaining ecosystem services.Crossref | GoogleScholarGoogle Scholar |
Hejcman M, Kunzova E (2010) Sustainability of winter wheat production on sandy-loamy Cambisol in the Czech Republic—Results from a long-term fertilizer and crop rotation experiment. Field Crops Research 115, 191–199.
| Sustainability of winter wheat production on sandy-loamy Cambisol in the Czech Republic—Results from a long-term fertilizer and crop rotation experiment.Crossref | GoogleScholarGoogle Scholar |
Herridge DF, Peoples MB, Boddey RM (2008) Global inputs of biological nitrogen fixation in agricultural systems. Plant and Soil 311, 1–18.
| Global inputs of biological nitrogen fixation in agricultural systems.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhtVyju73M&md5=85777ba3c60a7c86c48fa3da1ffc9221CAS |
Hilker T, Wulder MA, Coops NC, Linke J, McDermid G, Masek JG, Gao F, White JC (2009) A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS. Remote Sensing of Environment 113, 1613–1627.
| A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS.Crossref | GoogleScholarGoogle Scholar |
Hill JM, Donald GE (2003) Estimating spatio-temporal patterns of agricultural productivity in fragmented landscapes using AVHRR NDVI time series. Remote Sensing of Environment 84, 367–384.
Hill MJ, Donald GE, Hyder MW, Smith RCG (2004) Estimation of pasture growth rate in the south west of Western Australia from AVHRR NDVI and climate data. Remote Sensing of Environment 93, 528–545.
| Estimation of pasture growth rate in the south west of Western Australia from AVHRR NDVI and climate data.Crossref | GoogleScholarGoogle Scholar |
Himstedt M, Fricke T, Wachendorf M (2012) The benefit of color information in digital image analysis for the estimation of legume contribution in legume–grass mixtures. Crop Science 52, 943–950.
| The benefit of color information in digital image analysis for the estimation of legume contribution in legume–grass mixtures.Crossref | GoogleScholarGoogle Scholar |
Hutchings NJ, Olesen JE, Petersen BM, Berntsen J (2007) Modelling spatial heterogeneity in grazed grassland and its effects on nitrogen cycling and greenhouse gas emissions. Agriculture, Ecosystems & Environment 121, 153–163.
| Modelling spatial heterogeneity in grazed grassland and its effects on nitrogen cycling and greenhouse gas emissions.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXisVSqtr4%3D&md5=33d943688f10bf8ef16a2037528e9051CAS |
Javot H, Penmetsa RV, Breuillin F, Bhattarai KK, Noar RD, Gomez SK, Zhang Q, Cook DR, Harrison MJ (2011) Medicago truncatula mtpt4 mutants reveal a role for nitrogen in the regulation of arbuscule degeneration in arbuscular mycorrhizal symbiosis. The Plant Journal 68, 954–965.
| Medicago truncatula mtpt4 mutants reveal a role for nitrogen in the regulation of arbuscule degeneration in arbuscular mycorrhizal symbiosis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38Xmtlehuw%3D%3D&md5=9dfe70eeec2d013568ce40d6564656b2CAS | 21848683PubMed |
Jensen JR (2007) ‘Remote sensing of the environment, an earth resource perspective.’ (Pearson (Prentice Hall): Upper Saddle River, NJ, USA)
Johnson NC (2010) Resource stoichiometry elucidates the structure and function of arbuscular mycorrhizas across scales. New Phytologist 185, 631–647.
| Resource stoichiometry elucidates the structure and function of arbuscular mycorrhizas across scales.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXitFKnsrs%3D&md5=09ef657b5fd20875b06a938a7b90bf67CAS | 19968797PubMed |
Kiers ET, Hutton MG, Denison RF (2007) Human selection and the relaxation of legume defences against ineffective rhizobia. Proceedings. Biological Sciences 274, 3119–3126.
| Human selection and the relaxation of legume defences against ineffective rhizobia.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXkvVWksA%3D%3D&md5=c3289e95cb04230459f33495db96b179CAS |
Kurtz DB, Schellberg J, Braun M (2010) Ground and satellite based assessment of rangeland management in sub-tropical Argentina. Applied Geography 30, 210–220.
| Ground and satellite based assessment of rangeland management in sub-tropical Argentina.Crossref | GoogleScholarGoogle Scholar |
Lanfranco L, Young JPW (2012) Genetic and genomic glimpses of the elusive arbuscular mycorrhizal fungi. Current Opinion in Plant Biology 15, 454–461.
| Genetic and genomic glimpses of the elusive arbuscular mycorrhizal fungi.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XotVOqsL4%3D&md5=8f59bb7684a955db859a29c31c78050fCAS | 22673109PubMed |
Lavorel S, Garnier E (2002) Predicting changes in community composition and ecosystem functioning from plant traits, revisiting the Holy Grail. Functional Ecology 16, 545–556.
| Predicting changes in community composition and ecosystem functioning from plant traits, revisiting the Holy Grail.Crossref | GoogleScholarGoogle Scholar |
Lehmann A, Barto EK, Powell JR, Rillig MC (2012) Mycorrhizal responsiveness trends in annual crop plants and their wild relatives—a meta-analysis on studies from 1981 to 2010. Plant and Soil 355, 231–250.
| Mycorrhizal responsiveness trends in annual crop plants and their wild relatives—a meta-analysis on studies from 1981 to 2010.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38Xns1eksb0%3D&md5=99b42eb03e95e1bad786d6ad010fab35CAS |
Lekberg Y, Koide RT (2005) Is plant performance limited by abundance of arbuscular mycorrhizal fungi? A meta-analysis of studies published between 1988 and 2003. New Phytologist 168, 189–204.
| Is plant performance limited by abundance of arbuscular mycorrhizal fungi? A meta-analysis of studies published between 1988 and 2003.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD2MvovFyiug%3D%3D&md5=f893315a1ba5a865fc426c40f6f3ceceCAS | 16159333PubMed |
Malmstrom CM, Butterfield HS, Barber C, Dieter B, Harrison R, Qi J, Riaño D, Schrotenboer A, Stone S, Stoner CJ, Wirka J (2009) Using remote sensing to evaluate the influence of grassland restoration activities on ecosystem forage provisioning services. Restoration Ecology 17, 526–538.
| Using remote sensing to evaluate the influence of grassland restoration activities on ecosystem forage provisioning services.Crossref | GoogleScholarGoogle Scholar |
Markmann K, Parniske M (2009) Evolution of root endosymbiosis with bacteria, how novel are nodules? Trends in Plant Science 14, 77–86.
| Evolution of root endosymbiosis with bacteria, how novel are nodules?Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhsFOis74%3D&md5=55726f3f59e738bbb0e5667e89a00086CAS | 19167260PubMed |
Martin G, Duru M, Schellberg J, Ewert F (2012) Simulations of plant productivity are affected by modelling approaches of farm management. Agricultural Systems 109, 25–34.
| Simulations of plant productivity are affected by modelling approaches of farm management.Crossref | GoogleScholarGoogle Scholar |
Maselli F, Argenti G, Chiesi M, Angeli L, Papale D (2013) Simulation of grassland productivity by the combination of ground and satellite data. Agriculture, Ecosystems & Environment 165, 163–172.
| Simulation of grassland productivity by the combination of ground and satellite data.Crossref | GoogleScholarGoogle Scholar |
McCall DG, Bishop-Hurley GJ (2003) A pasture growth model for us in a whole-farm dairy production model. Agricultural Systems 76, 1183–1205.
| A pasture growth model for us in a whole-farm dairy production model.Crossref | GoogleScholarGoogle Scholar |
Mendes R, Kruijt M, de Bruijn I, Dekkers E, van der Voort M, Schneider JHM, Piceno YM, DeSantis TZ, Andersen GL, Bakker P, Raaijmakers JM (2011) Deciphering the rhizosphere microbiome for disease-suppressive bacteria. Science 332, 1097–1100.
| Deciphering the rhizosphere microbiome for disease-suppressive bacteria.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXmsVansL8%3D&md5=4b1deb7ff20b646cec4e4fe91577452bCAS | 21551032PubMed |
Menneer JC, Ledgard S, Mclay C, Silvester W (2003) The effect of a single application of cow urine on annual N2 fixation under varying simulated grazing intensity, as measured by four 15N isotope techniques. Plant and Soil 254, 469–480.
| The effect of a single application of cow urine on annual N2 fixation under varying simulated grazing intensity, as measured by four 15N isotope techniques.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3sXmvVaiurY%3D&md5=2efe4ff940a62153f0e70049a05d39deCAS |
Mertens FM, Paetzold S, Welp G (2008) Spatial heterogeneity of soil properties and its mapping with apparent electrical conductivity. Journal of Plant Nutrition and Soil Science - Zeitschrift Fur Pflanzenernahrung Und Bodenkunde 171, 146–154.
| Spatial heterogeneity of soil properties and its mapping with apparent electrical conductivity.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXlvVKjsro%3D&md5=55893cb73337f2bd3e2f5d0e448a8d4cCAS |
Nadian H, Smith SE, Alston AM, Murray RS (1997) Effects of soil compaction on plant growth, phosphorus uptake and morphological characteristics of vesicular-arbuscular mycorrhizal colonization of Trifolium subterraneum. New Phytologist 135, 303–311.
| Effects of soil compaction on plant growth, phosphorus uptake and morphological characteristics of vesicular-arbuscular mycorrhizal colonization of Trifolium subterraneum.Crossref | GoogleScholarGoogle Scholar |
Oldroyd GED, Harrison MJ, Paszkowski U (2009) Reprogramming plant cells for endosymbiosis. Science 324, 753–754.
| Reprogramming plant cells for endosymbiosis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXlsVelu7s%3D&md5=c5de8fc6c07cdf22cb13bd7e69683355CAS |
Op den Camp R, Streng A, De Mita S, Cao Q, Polone E, Liu W, Ammiraju JSS, Kudrna D, Wing R, Untergasser A, Bisseling T, Geurts R (2011) LysM-type mycorrhizal receptor recruited for rhizobium symbiosis in nonlegume Parasponia. Science 331, 909–912.
| LysM-type mycorrhizal receptor recruited for rhizobium symbiosis in nonlegume Parasponia.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhvFSjt7c%3D&md5=753b6d72059f9fafef8dc824f8986cbfCAS | 21205637PubMed |
Pachauri RK, Reisinger A (2007) ‘Climate Change 2007, Synthesis Report. Contribution of working groups I, II and III to the fourth assessment report of the Intergovernmental Panel on Climate Change, IPCC.’ (IPCC: Geneva)
Peeters A (2009) Importance, evolution, environmental impact and future challenges of grasslands and grassland-based systems in Europe. Grassland Science 55, 113–125.
| Importance, evolution, environmental impact and future challenges of grasslands and grassland-based systems in Europe.Crossref | GoogleScholarGoogle Scholar |
Peoples MB, Herridge DF, Alves BR, Urquiaga S, Boddey RM, Dakora FD, Bhattarai S, Maskey SL, Sampet C, Rerkasem B, Khans DF, Jensen BS (2009) The contributions of nitrogen-fixing crop legumes to the productivity of agricultural systems. Symbiosis 48, 1–17.
| The contributions of nitrogen-fixing crop legumes to the productivity of agricultural systems.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXpsFenur4%3D&md5=daa6ad36c7e6ff9b3c36e1b17df1416bCAS |
Prochnow A, Heiermann M, Plöchl M, Linke B, Idler C, Amon T, Hobbs PJ (2009) Bioenergy from permanent grassland—A review: 1. Biogas. Bioresource Technology 100, 4931–4944.
| Bioenergy from permanent grassland—A review: 1. Biogas.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXoslGht74%3D&md5=7a9e4515ef2a942e338a8f72de134302CAS | 19546001PubMed |
Propastin P, Kappas M (2009) Modeling Net ecosystem exchange for grassland in Central Kazakhstan by combining remote sensing and field data. Remote Sensing I, 159–183.
Radtke PJ, Boland HT, Scaglia G (2010) An evaluation of overhead laser scanning to estimate herbage removals in pasture quadrats. Agricultural and Forest Meteorology 150, 1523–1528.
| An evaluation of overhead laser scanning to estimate herbage removals in pasture quadrats.Crossref | GoogleScholarGoogle Scholar |
Rains GC, Olson DM, Lewis WJ (2011) Redirecting technology to support sustainable farm management practices. Agricultural Systems 104, 365–370.
| Redirecting technology to support sustainable farm management practices.Crossref | GoogleScholarGoogle Scholar |
Ramoelo A, Skidmore AK, Cho MA, Schlerf M, Mathieu R, Heitkönig IMA (2012) Regional estimation of savanna grass nitrogen using the red-edge band of the spaceborne RapidEye sensor. International Journal of Applied Earth Observation and Geoinformation 19, 151–162.
| Regional estimation of savanna grass nitrogen using the red-edge band of the spaceborne RapidEye sensor.Crossref | GoogleScholarGoogle Scholar |
Rango A, Laliberte A, Steele C, Herrick JE, Bestelmeyer B, Schmugge T, Roanhorse A, Jenkins V (2006) Using unmanned aerial vehicles for rangelands, current applications and future potentials. Environmental Practice 8, 159–168.
| Using unmanned aerial vehicles for rangelands, current applications and future potentials.Crossref | GoogleScholarGoogle Scholar |
Rillig MC, Mummey DL (2006) Mycorrhizas and soil structure. New Phytologist 171, 41–53.
| Mycorrhizas and soil structure.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28Xnt1Clsrk%3D&md5=e2dc510deab63c929740b3e32d268468CAS | 16771981PubMed |
Rindfuss RR, Walsh SJ, Turner BL, Moran EF, Entwisle B (2004) Linking pxiles with people. In ‘Land change science. Observing, monitoring and understanding trajectories on the Earth’s surface’. (Ed. G Gutman, et al.). Remote Sensing and Image Processing 6, 379–396.
Sanders IR (2010) ‘Designer’ mycorrhizas? Using natural genetic variation in AM fungi to increase plant growth. The ISME Journal 4, 1081–1083.
| ‘Designer’ mycorrhizas? Using natural genetic variation in AM fungi to increase plant growth.Crossref | GoogleScholarGoogle Scholar | 20613789PubMed |
Sawers RJH, Gutjahr C, Paszkowski U (2008) Cereal mycorrhiza, an ancient symbiosis in modern agriculture. Trends in Plant Science 13, 93–97.
| Cereal mycorrhiza, an ancient symbiosis in modern agriculture.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXivVOnur0%3D&md5=bd7c69a0531691d1ddd89fe18efe8bc7CAS |
Schellberg J, Hill MJ, Gerhards R, Rothmund M, Braun M (2008) Precision agriculture on grassland, applications, perspectives and constraints. European Journal of Agronomy 29, 59–71.
| Precision agriculture on grassland, applications, perspectives and constraints.Crossref | GoogleScholarGoogle Scholar |
Schmidt H, Karnieli A (2000) Remote sensing of the seasonal variability of vegetation in a semi-arid environment. Journal of Arid Environments 45, 43–59.
| Remote sensing of the seasonal variability of vegetation in a semi-arid environment.Crossref | GoogleScholarGoogle Scholar |
Schmidtlein S, Zimmermann P, Schupferling R, Weiss C (2007) Mapping the floristic continuum, ordination space position estimated from imaging spectroscopy. Journal of Vegetation Science 18, 131–140.
| Mapping the floristic continuum, ordination space position estimated from imaging spectroscopy.Crossref | GoogleScholarGoogle Scholar |
Schnoor TK, Martensson L-M, Olsson PA (2011) Soil disturbance alters plant community composition and decreases mycorrhizal carbon allocation in a sandy grassland. Oecologia 167, 809–819.
| Soil disturbance alters plant community composition and decreases mycorrhizal carbon allocation in a sandy grassland.Crossref | GoogleScholarGoogle Scholar | 21614616PubMed |
Seelan SK, Laguette S, Casady GM, Seielstad GA (2003) Remote sensing applications for precision agriculture, a learning community approach. Remote Sensing of Environment 88, 157–169.
| Remote sensing applications for precision agriculture, a learning community approach.Crossref | GoogleScholarGoogle Scholar |
Sigua G, Coleman S (2009) Long-term effect of cow congregation zone on soil penetrometer resistance, implications for soils and forage quality. Agronomy for Sustainable Development 29, 517–523.
| Long-term effect of cow congregation zone on soil penetrometer resistance, implications for soils and forage quality.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhsVyhsLbF&md5=f08f0e2423bac66b0f10a4afacf43bcbCAS |
Smith SE, Read DJ (2008) ‘Mycorrhizal symbiosis.’ 3rd edn (Academic Press: London)
Sun Y, Cheng Q, Lin J, Schellberg J, Schulze Lammers P (2013) Investigating soil physical properties and yield response in a grassland field using a dual-sensor penetrometer and EM38. Journal of Plant Nutrition and Soil Science 176, 209–216.
| Investigating soil physical properties and yield response in a grassland field using a dual-sensor penetrometer and EM38.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXks1GltLw%3D&md5=8946cb579619f3b4b632e6f049068e0bCAS |
Thackway R, Lymburner L, Guerschman JP (2013) Dynamic land cover information, bridging the gap between remote sensing and natural resource management. Ecology and Society 18, 2
| Dynamic land cover information, bridging the gap between remote sensing and natural resource management.Crossref | GoogleScholarGoogle Scholar |
Thomet P, Cutullic E, Bisig W, Wuest C, Elsaesser M, Steinberger S, Steinwidder A (2011) Merits of full grazing systems as a sustainable and efficient milk production strategy. Grassland Science in Europe 16, 273–285.
Tian H, Chen G, Zhang C, Liu M, Sun G, Chappelka A, Ren W, Xu X, Lu C, Pan S, Chen H, Hui D, McNulty S, Lockaby G, Vance E (2012) Century-scale responses of ecosystem carbon storage and flux to multiple environmental changes in the southern United States. Ecosystems 15, 674–694.
| Century-scale responses of ecosystem carbon storage and flux to multiple environmental changes in the southern United States.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XmvFGrsb0%3D&md5=a75a3c755b1259f868025539267ce259CAS |
Trnka M, Eitzinger J, Gruszczynski G, Buchgraber K, Resch R, Schaumberger A (2006) A simple statistical model for predicting herbage production from permanent grassland. Grass and Forage Science 61, 253–271.
| A simple statistical model for predicting herbage production from permanent grassland.Crossref | GoogleScholarGoogle Scholar |
Ullah S, Si Y, Schlerf M, Skidmore AK, Shafique M, Iqbal IA (2012) Estimation of grassland biomass and nitrogen using MERIS data. International Journal of Applied Earth Observation and Geoinformation 19, 196–204.
| Estimation of grassland biomass and nitrogen using MERIS data.Crossref | GoogleScholarGoogle Scholar |
Ustin SL, Gamon JA (2010) Remote sensing of plant functional types. New Phytologist 186, 795–816.
| Remote sensing of plant functional types.Crossref | GoogleScholarGoogle Scholar | 20569415PubMed |
Van Evert FK, Polder G, Van Der Heijden GWAM, Kempenaar C, Lotz LAP (2009) Real-time vision-based detection of Rumex obtusifolius in grassland. Weed Research 49, 164–174.
| Real-time vision-based detection of Rumex obtusifolius in grassland.Crossref | GoogleScholarGoogle Scholar |
van Ittersum MK, Ewert F, Heckelei T, Wery J, Olsson JA, Andersen E, Bezlepkina I, Brouwer F, Donatelli M, Flichman G, Olsson L, Rizzoli AE, van der Wal T, Wien JE, Wolf J (2008) Integrated assessment of agricultural systems—A component-based framework for the European Union (SEAMLESS). Agricultural Systems 96, 150–165.
| Integrated assessment of agricultural systems—A component-based framework for the European Union (SEAMLESS).Crossref | GoogleScholarGoogle Scholar |
Verbruggen E, Kiers ET (2010) Evolutionary ecology of mycorrhizal functional diversity in agricultural systems. Evolutionary Applications 3, 547–560.
| Evolutionary ecology of mycorrhizal functional diversity in agricultural systems.Crossref | GoogleScholarGoogle Scholar |
Verbruggen E, Van Der Heijden MGA, Weedon JT, Kowalchuk GA, Röling WFM (2012) Community assembly, species richness and nestedness of arbuscular mycorrhizal fungi in agricultural soils. Molecular Ecology 21, 2341–2353.
| Community assembly, species richness and nestedness of arbuscular mycorrhizal fungi in agricultural soils.Crossref | GoogleScholarGoogle Scholar | 22439851PubMed |
Verbruggen E, Veresoglou SD, Anderson IC, Caruso T, Hammer EC, Kohler J, Rillig MC (2013) Arbuscular mycorrhizal fungi—short-term liability but long-term benefits for soil carbon storage? New Phytologist 197, 366–368.
| Arbuscular mycorrhizal fungi—short-term liability but long-term benefits for soil carbon storage?Crossref | GoogleScholarGoogle Scholar | 23176114PubMed |
Walker JJ, De Beurs KM, Wynne RH, Gao F (2012) Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology. Remote Sensing of Environment 117, 381–393.
| Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology.Crossref | GoogleScholarGoogle Scholar |
Wathes CM, Kristensen HH, Aerts JM, Berckmans D (2008) Is precision livestock farming an engineer’s daydream or nightmare, an animal’s friend or foe, and a farmer’s panacea or pitfall? Computers and Electronics in Agriculture 64, 2–10.
| Is precision livestock farming an engineer’s daydream or nightmare, an animal’s friend or foe, and a farmer’s panacea or pitfall?Crossref | GoogleScholarGoogle Scholar |
Wearn JA, Gange AC (2007) Above-ground herbivory causes rapid and sustained changes in mycorrhizal colonization of grasses. Oecologia 153, 959–971.
| Above-ground herbivory causes rapid and sustained changes in mycorrhizal colonization of grasses.Crossref | GoogleScholarGoogle Scholar | 17594116PubMed |
Xing X, Koch AM, Jones MP, Ragone D, Murch S, Hart MM (2012) Mutualism breakdown in breadfruit domestication. Proceedings of the Royal Society B - Biological Sciences 279, 1122–1130.
Yu L, Zhou L, Liu W, Zhou H-K (2010) Using remote sensing and GIS technologies to estimate grass yield and livestock carrying capacity of alpine grasslands in Golog Prefecture, China. Pedosphere 20, 342–351.
| Using remote sensing and GIS technologies to estimate grass yield and livestock carrying capacity of alpine grasslands in Golog Prefecture, China.Crossref | GoogleScholarGoogle Scholar |
Yue J, Han S, Zheng X (2012) Designing a regional nitrogen cycle module of grassland for the IAP-N model. Advances in Atmospheric Sciences 29, 320–332.
| Designing a regional nitrogen cycle module of grassland for the IAP-N model.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XisFars7g%3D&md5=3598498e120ded0d0040c2dbaa9dad87CAS |
Zak DR, Holmes WE, White DC, Peacock AD, Tilman D (2003) Plant diversity, soil microbial communities, and ecosystem function, are there any links? Ecology 84, 2042–2050.
| Plant diversity, soil microbial communities, and ecosystem function, are there any links?Crossref | GoogleScholarGoogle Scholar |
Zha Y, Gao J, Ni S, Liu Y, Jiang J, Wei Y (2003) A spectral reflectance-based approach to quantification of grassland cover from Landsat TM imagery. Remote Sensing of Environment 87, 371–375.
| A spectral reflectance-based approach to quantification of grassland cover from Landsat TM imagery.Crossref | GoogleScholarGoogle Scholar |
Zhu Y, Chen H, Fan J, Wang Y, Li Y, Chen J, Yang S, Hu L, Leung H, Mew TW, Teng PS, Wang Z, Mundt CC (2000) Genetic diversity and disease control in rice. Nature 406, 718–722.
| Genetic diversity and disease control in rice.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXmt1Cgt7o%3D&md5=c44622a322d87bcbecaf4e89008fd8c6CAS | 10963595PubMed |
