5 results on '"Liebig, M.A."'
Search Results
2. Integrated crop-livestock system effects on soil N, P, and pH in a semiarid region.
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Liebig, M.A., Ryschawy, J., Kronberg, S.L., Archer, D.W., Scholljegerdes, E.J., Hendrickson, J.R., and Tanaka, D.L.
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CROPPING systems , *ARID regions , *AGRICULTURE , *PLANT nutrients , *CROP management , *CROP residues - Abstract
Integrated crop-livestock systems (ICLS) represent a potential means to sustainably intensify agriculture. Developing ICLS that concurrently achieve production and environmental goals is contingent upon efficiently managing plant nutrients in time and space. In this study, we sought to quantify residue management and field-zone effects on soil NO 3 -N, available P, and soil pH over a 12 year period for an ICLS experiment near Mandan, ND USA. From 1999 to 2011, soil NO 3 -N and available P were measured in three residue management treatments (grazed, mechanically harvested, and no residue removal) every third year across a 122 cm soil depth, while soil pH was measured prior to deploying ICLS treatments in 1999 and again in 2011. Residue management did not affect soil NO 3 -N or available P at any depth for any year (P > 0.1), implying no accumulation of available N and P under grazing compared to cropping. Similarly, no differences in available N and P were observed across grazed sampling zones. Soil nutrients, however, increased or fluctuated greatly over the 12 year period, suggesting a need for adaptive nutrient management. Soils became more acidic between 1999 and 2011, with the greatest decreases in soil pH at 0–8 cm under grazing (0.74 pH unit decline; P = 0.0581) and mechanical harvest (0.86 pH unit decline; P = 0.0138). Management interventions targeting nutrient conservation may serve to mitigate N and P loss and soil acidification in ICLS. [ABSTRACT FROM AUTHOR]
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- 2017
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3. Tillage and cropping effects on soil quality indicators in the northern Great Plains
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Liebig, M.A., Tanaka, D.L., and Wienhold, B.J.
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SOIL science , *AGRICULTURE , *TILLAGE , *WATER supply - Abstract
The extreme climate of the northern Great Plains of North America requires cropping systems to possess a resilient soil resource in order to be sustainable. This paper summarizes the interactive effects of tillage, crop sequence, and cropping intensity on soil quality indicators for two long-term cropping system experiments in the northern Great Plains. The experiments, located in central North Dakota, were established in 1984 and 1993 on a Wilton silt loam (FAO: Calcic Siltic Chernozem; USDA: fine-silty, mixed, superactive frigid Pachic Haplustoll). Soil physical, chemical, and biological properties considered as indicators of soil quality were evaluated in spring 2001 in both experiments at depths of 0–7.5, 7.5–15, and 15–30 cm. Management effects on soil properties were largely limited to the surface 7.5 cm in both experiments. For the experiment established in 1984, differences in soil condition between a continuous crop, no-till system and a crop–fallow, conventional tillage system were substantial. Within the surface 7.5 cm, the continuous crop, no-till system possessed significantly more soil organic C (by 7.28 Mg ha-1), particulate organic matter C (POM-C) (by 4.98 Mg ha-1), potentially mineralizable N (PMN) (by 32.4 kg ha-1), and microbial biomass C (by 586 kg ha-1), as well as greater aggregate stability (by 33.4%) and faster infiltration rates (by 55.6 cm h-1) relative to the crop–fallow, conventional tillage system. Thus, soil from the continuous crop, no-till system was improved with respect to its ability to provide a source for plant nutrients, withstand erosion, and facilitate water transfer. Soil properties were affected less by management practices in the experiment established in 1993, although organic matter related properties tended to be greater under continuous cropping or minimum tillage than crop sequences with fallow or no-till. In particular, PMN and microbial biomass C were greatest in continuous spring wheat (with residue removed) (22.5 kg ha-1 for PMN; 792 kg ha-1 for microbial biomass C) as compared with sequences with fallow (SW–S–F and SW–F) (
Average=15.9 kg ha-1 for PMN; 577 kg ha-1 for microbial biomass C). Results from both experiments confirm that farmers in the northern Great Plains of North America can improve soil quality and agricultural sustainability by adopting production systems that employ intensive cropping practices with reduced tillage management. [Copyright &y& Elsevier]- Published
- 2004
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4. Crop sequence effects of 10 crops in the northern Great Plains
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Krupinsky, J.M., Tanaka, D.L., Merrill, S.D., Liebig, M.A., and Hanson, J.D.
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CROPPING systems , *CROPS , *AGRICULTURE - Abstract
Abstract: Dynamic cropping systems, which involve a long-term strategy of annual crop sequencing, require detailed information on management components known to influence crop performance. Considering that proper sequencing of crops is an important component for successful dynamic cropping systems, a research project was undertaken to determine the advantages and/or disadvantages of previous crop and crop residues for numerous crop sequences. A multi-disciplinary team of scientists evaluated crop sequence effects of 10 crops (barley, canola, crambe, dry bean, dry pea, flax, safflower, soybean, spring wheat, and sunflower) on seed yield, soil coverage by residue, soil water use, surface soil properties, and plant diseases in central North Dakota. Two years were required to establish a crop by crop residue matrix (crop matrix). During the second year (site 1, 1999; site 2, 2000) 10 crops were evaluated with a crop matrix. During the third and fourth year spring wheat (site 1, 2000; site 2, 2001) and sunflower (site 1, 2001; site 2, 2002), respectively, were seeded over the crop matrix. The seed yield of four crops (crambe, flax, safflower, and soybean) of the 10 crops evaluated in the crop matrix was influenced by the preceding crop at site 1 in 1999 an above average moisture year. The seed yield of eight crops (canola, crambe, dry bean, flax, safflower, soybean, spring wheat, and barley) was influenced by the preceding crop at site 2 in 2000 a more average precipitation year. Some of the lowest seed yields were obtained when a crop was seeded on its own residue. A synthesis of seed yield data from a given year provided overall values for positive and negative effects of crops and crop residue on subsequent crops. In general, the three legume crops had positive effects in contrast to non-leguminous crops, which usually had negative effects. However, sunflower was an exception among the non-leguminous crops; at site 2 in 2000, sunflower was positive for subsequent crops compared with canola or crambe, which had negative effects. Crop sequences composed of small cereal grains had the highest soil coverage by residue while sequences of two dicotyledonous species had considerably lower coverage. Soil water use among crops varied, ranging from sunflower with the numerically highest soil water use to dry pea with the least. Significant changes in surface soil properties due to crops were generally not detected in this short-term project. Given the variation in Sclerotinia disease incidence for canola, crambe, safflower, and sunflower within the crop matrix, it was difficult to detect significant differences based on the previous crop. Differences were evident two years later when the highest incidence of Sclerotinia basal stalk rot for sunflower was detected in plots where crambe was grown two years earlier. During the third year, when spring wheat was seeded over a crop matrix, spring wheat yields increased following 23 and 19 crop sequence treatments out of a possible 100 at site 1 and site 2, respectively, compared to the continuous wheat treatment. All crop sequence treatments that yielded better than the continuous wheat treatment were comprised of mostly non-cereal crops, demonstrating the positive impact of crop diversity on cereal crop production. The severity of leaf spot diseases on spring wheat were affected by crop sequence and fungal spore production was greatest on the continuous wheat treatment. Even though decreases in leaf spot disease severity and modest yield increases were obtained with some crop sequence treatments, significant yield increases due to reduced leaf spot disease severity were not obtained under our conditions. [Copyright &y& Elsevier]
- Published
- 2006
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5. MAGGnet : an international network to foster mitigation of agricultural greenhouse gases
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Tomas Della Chiesa, Brian D. Amiro, Giovanna Seddaiu, G. Vitali, Francesco Tei, Jagadeesh Yeluripati, Antonio Berti, Louis A. Schipper, Yasuhito Shirato, Marco Mazzoncini, Lars J. Munkholm, Pierre Cellier, N. Lewczuk, Denis A. Angers, J. Spink, M. Tenuta, X. Hao, F. Agus, Mark A. Liebig, Charles W. Rice, Carlo Grignani, L. Martin-Neto, Rene Dechow, Shigeto Sudo, Jens Leifeld, Domenico Ventrella, Pier Paolo Roggero, J. Shin, Carolina Alvarez, S. J. Del Grosso, L. Spadavecchia, Peter Grace, A. Kishimoto-Mo, Maren Oelbermann, R. de Aragão Ribeiro Rodrigues, Laura Yahdjian, Alan J. Franzluebbers, Guy Richard, Fiona Ehrhardt, Gervasio Piñeiro, O. Machado Rodrigues Cabral, Roberto Orsini, Gabriela Posse, N. Widiarta, Kristiina Regina, R. Savé, J. Sawchik, Producció Vegetal, Fructicultura, Liebig, M.A., USDA-ARS : Agricultural Research Service, Instituto Nacional de Tecnología Agropecuaria (INTA), Facultad de Agronomia, Queensland University of Technology, Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Ministério da Agricultura, Pecuária e Abastecimento [Brasil] (MAPA), Governo do Brasil-Governo do Brasil, Parque Estaçao Biologica, University of Manitoba [Winnipeg], Agriculture and Agri-Food [Ottawa] (AAFC), University of Waterloo [Waterloo], Aarhus University [Aarhus], Natural Resources Institute Finland (LUKE), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Université Paris Saclay (COmUE), Collège de Direction (CODIR), Institut National de la Recherche Agronomique (INRA), and Département Environnement et Agronomie (DEPT EA)
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Carbon sequestration ,Leverage (finance) ,010504 meteorology & atmospheric sciences ,Carbon sequestration, Global Research Alliance, Managing Agricultural Greenhouse Gases Network, Nitrous oxide ,NITROUS OXIDE ,[SDV]Life Sciences [q-bio] ,631/635 ,Managing Agricultural Greenhouse Gases Network ,Global Research Alliance ,Nitrous oxide ,01 natural sciences ,Agricultural economics ,Ciencias de la Tierra y relacionadas con el Medio Ambiente ,purl.org/becyt/ford/1 [https] ,Greenhouse Gases ,purl.org/becyt/ford/1.5 [https] ,CARBON SEQUESTRATION ,Redes ,MANAGING AGRICULTURAL GREENHOUSE GASES NETWORK ,0105 earth and related environmental sciences ,General Environmental Science ,2. Zero hunger ,International network ,Óxido Nitroso ,business.industry ,Environmental resource management ,04 agricultural and veterinary sciences ,Soil carbon ,GLOBAL RESEARCH ALLIANCE ,Metadata ,Alliance ,Secuestro de Carbono ,13. Climate action ,Agriculture ,Greenhouse gas ,[SDE]Environmental Sciences ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,2300 ,Gases de Efecto Invernadero ,Networks ,business ,Meteorología y Ciencias Atmosféricas ,CIENCIAS NATURALES Y EXACTAS - Abstract
Research networks provide a framework for review, synthesis and systematic testing of theories by multiple scientists across international borders critical for addressing global-scale issues. In 2012, a GHG research network referred to as MAGGnet (Managing Agricultural Greenhouse Gases Network) was established within the Croplands Research Group of the Global Research Alliance on Agricultural Greenhouse Gases (GRA). With involvement from 46 alliance member countries, MAGGnet seeks to provide a platform for the inventory and analysis of agricultural GHG mitigation research throughout the world. To date, metadata from 315 experimental studies in 20 countries have been compiled using a standardized spreadsheet. Most studies were completed (74%) and conducted within a 1–3-year duration (68%). Soil carbon and nitrous oxide emissions were measured in over 80% of the studies. Among plant variables, grain yield was assessed across studies most frequently (56%), followed by stover (35%) and root (9%) biomass. MAGGnet has contributed to modeling efforts and has spurred other research groups in the GRA to collect experimental site metadata using an adapted spreadsheet. With continued growth and investment, MAGGnet will leverage limited-resource investments by any one country to produce an inclusive, globally shared meta-database focused on the science of GHG mitigation. Inst. de Clima y Agua Fil: Liebig, M.A. United States Department of Agriculture. Agricultural Research Service; Estados Unidos Fil: Posse Beaulieu, Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Lewczuk, Nuria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Franzluebbers, A.J. United States Department of Agriculture. Agricultural Research Service; Estados Unidos. NC State University. Campus; Estados Unidos Fil: Alvarez, Carolina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina Fil: Chiesa, Tomás Della. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina Fil: Piñeiro, Gervasio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina Fil: Yahdjian, María Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina Fil: Grace, P. Queensland University of Technology; Australia Fil: Cabral, Osvaldo Machado Rodrigues. Embrapa Environment; Brasil Fil: Martin-Neto, Ladislau. Embrapa. Departamento de Administração do Parque Estação Biológica; Brasil Fil: Rodrigues, Renato de Aragao Ribeiro. Embrapa Solos; Brasil Fil: Angers, D. Agriculture and Agri-Food Canada; Canadá Fil: Hao, X. Agriculture and Agri-Food Canada, Lethbridge; Canadá Fil: Oelbermann, M. University of Waterloo; Canadá Fil: Tenuta, M. University of Manitoba. Department of Soil Science; Canadá Fil: Munkholm, L.J. Aarhus University. Department. of Agroecology; Dinamarca Fil: Regina, K. Natural Resources Institute; Finlandia Fil: Cellier, Pierre. Institut National de la Recherche Agronomique; Francia Fil: Ehrhardt, Fiona. Institut National de la Recherche Agronomique; Francia Fil: Richard, G. Institut National de la Recherche Agronomique; Francia Fil: Dechow, R. Thünen Institute of Climate Smart Agriculture; Alemania Fil: Agus, F. Indonesian Soil Research Institute; Indonesia Fil: Widiarta, N. Indonesian Center for Food Crop Research and Development; Indonesia Fil: Spink, J. Oak Park Crops Research Centre; Irlanda Fil: Berti, Antonio. Università di Padova. Dipartimento di Agronomia Animali Alimenti Risorse Naturali e Ambiente; Italia Fil: Grignani, Carlo. Università degli Studi di Torino. Dipartimento di Scienze Agrarie, Forestali e Alimentari; Italia Fil: Mazzoncini, Marco. Università di Pisa. Dipartimento di Agronomia e Gestione dell'Agroecosistema; Italia Fil: Orsini, Roberto. Universita Politecnica delle Marche. Dipartimento di Scienze Agrarie Alimentari e Ambientali; Italia Fil: Roggero, Pier Paolo. Universita di Sassari. Dipartimento di Agraria. Nucleo di Ricerca sulla Desertificazione; Italia Fil: Seddaiu, Giovanna. Universita di Sassari. Dipartimento di Agraria. Nucleo di Ricerca sulla Desertificazione; Italia Fil: Tei, Francesco. Università di Perugia. Dipartimento di Scienze Agrarie, Alimentari ed Ambientali; Italia Fil: Ventrella, Domenico. Research Unit for Cropping Systems in Dry Environments; Italia Fil: Vitali, Giuliano. Universita di Bologna. Dipartimento di Scienze Agrarie, Alma Mater Studiorum; Italia Fil: Kishimoto-Mo, A. National Institute for Agro-Environmental Sciences; Japón Fil: Shirato, Y. National Institute for Agro-Environmental Sciences; Japón Fil: Sudo, S. National Institute for Agro-Environmental Sciences; Japón Fil: Shin, J. National Academy of Agricultural Science; Corea del Sur Fil: Schipper, L. University of Waikato. Environmental Research Institute; Nueva Zelanda Fil: Leifeld, J. Agroscope; Suiza Fil: Spadavecchia, L. Department for Environment, Food & Rural Affairs; Reino Unido Fil: Yeluripati, J. The James Hutton Institute; Escosia Fil: Del Grosso, Stephen J. United States Department of Agriculture. Agricultural Research Service; Estados Unidos Fil: Rice, Charles W. Kansas State University; Estados Unidos Fil: Sawchik, Jorge. Instituto Nacional de Investigación Agropecuaria; Uruguay
- Published
- 2016
- Full Text
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