Academic literature on the topic 'Crop research'

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Journal articles on the topic "Crop research"

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Zhao, Rong Ying, Rui Chen, Zhan Hai Dang, Zhao Dang, and Gui Zhang. "Visual Analysis on the Research of Oil Crop." Advanced Materials Research 343-344 (September 2011): 668–72. http://dx.doi.org/10.4028/www.scientific.net/amr.343-344.668.

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Oil crops occupy an important position in the world economy in the past twenty-five years. The production of oil crops has increased twice and oil products are mainly used for food, fodder, mechanical, smelt, soap, paint, rubber, plastic, medical and other areas. Information visualization provides new ways for scientometrics and knowmetrics in recent years. This paper does the visual analysis of international oil crop. Based on analytic techniques such as co-citation analysis, co-appearance analysis and information visualization, this paper maps the co-citation network, hot words of most cited
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Wang, Xin Hua, Mei Hua Guo, and Hui Mei Liu. "Research Dry Crop and Irrigation Water Requirement in Environment Engineering." Applied Mechanics and Materials 340 (July 2013): 961–65. http://dx.doi.org/10.4028/www.scientific.net/amm.340.961.

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According to Kunming 1980-2010 monthly weather data and CROPWAT software and the corresponding crop data, crop water requirements and irrigation water use are calculated. By frequency analysis, irrigation water requirement was get for different guaranteed rate. The results show that: corn, potatoes, tobacco, and soybeans average crop water requirements were 390.7mm, 447.9mm, 361.8mm and 328.4mm, crop water dispersion coefficient is small, period effective rainfall during crop growth in most of the year can meet the crop water requirements, so irrigation water demand is small. While the multi-y
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Neill, D. E., and G. B. Follas. "Use of crop sensing technology in crop protection research." New Zealand Plant Protection 64 (January 8, 2011): 287. http://dx.doi.org/10.30843/nzpp.2011.64.5993.

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Crop sensing technology is a new tool being rapidly adopted by farmers as a key component of precision agriculture This technology uses sensors to calculate normalized difference vegetative index (NDVI) by emitting red and near infrared light towards the crop and measuring the crops reflectance NDVI is used to evaluate canopy greenness plant biomass and as an indicator of plant health and vigour The methodology relevance and benefits of using this technology in crop protection trials are currently unclear A handheld Greenseeker (Ntech Industries USA) was used to record NDVI on a range of trial
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Baulcombe, D. "Reaping Benefits of Crop Research." Science 327, no. 5967 (2010): 761. http://dx.doi.org/10.1126/science.1186705.

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Robinson, D. W. "Crop productivity — Research imperatives revisited." Scientia Horticulturae 36, no. 1-2 (1988): 151–53. http://dx.doi.org/10.1016/0304-4238(88)90018-0.

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Tanaka, D. L., J. F. Karn, and E. J. Scholljegerdes. "Integrated crop/livestock systems research: Practical research considerations." Renewable Agriculture and Food Systems 23, no. 1 (2008): 80–86. http://dx.doi.org/10.1017/s1742170507002165.

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AbstractThere are many reasons for the paucity of integrated crop/livestock research and associated publications. Integrated/crop livestock experiments that involve adequate treatments and replications, as perceived by both crop and animal scientists, require large numbers of hectares, many animals, considerable labor to conduct the research, substantial financial resources, and a commitment by Federal and State Research Agencies to fund such long-term research projects. To be truly integrated, crop/livestock research must be multidisciplinary, involving scientists of diverse training and expe
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Soare, Elena, Irina-Adriana Chiurciu, Aurelia-Vasilica Bălan, and Livia David. "World Market Research on Maize." “Agriculture for Life, Life for Agriculture” Conference Proceedings 1, no. 1 (2018): 216–22. http://dx.doi.org/10.2478/alife-2018-0032.

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Abstract This research presents the evolution of the world corn market during 2010-2016. Worldwide, corn crops are a very important agricultural crop, both for the population and for animal feed. In order to accomplish this research, a series of indicators specific to the world maize market were studied. The most representative indicators analyzed in this research are: the area cultivated with corn worldwide; total maize production worldwide; the total amount of fertilizer used for corn crops; yield per hectare for corn crop; the amount of Nitrogen used per hectare for maize crops; the amount
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Liu, Yue, Mei Xia Yang, Zhao Zhen Wang, Meng Li, and Hui Chen. "Research of Water Shortage Information Detection System for Crop Growth." Applied Mechanics and Materials 373-375 (August 2013): 996–99. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.996.

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Precision irrigation is an important subsystem of precision agriculture, which is helpful to improve the water utilization of agricultural irrigation, so as to achieve the purpose of water conservation. For the issues of crop water shortage information timely and accurately, it designed and implemented a water shortage information detection system in the growth of crop based on canopy temperature and environmental factors. The system used the STM32 processor as the core, configured a variety of sensors, acquired and processed crop canopy temperature and various kinds of crops micro-environment
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Špokas, L., V. Adamčuk, V. Bulgakov, and L. Nozdrovický. "The experimental research of combine harvesters." Research in Agricultural Engineering 62, No. 3 (2016): 106–12. http://dx.doi.org/10.17221/16/2015-rae.

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The paper presents results of the experimental research of a middle-size combine harvester when used for harvest of winter wheat and spring barley in heavy harvest conditions. Based on the results obtained, it was possible to determine the effect of field conditions on the crop mass flow in combine harvester, grain losses, fuel consumption, and combine harvester field performance. It was found that grain moisture content and conditions of the crop stand have a significant effect on the work indicators of the combine harvester when compared with its technological parameters and crop mass flow.
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Dotlačil, L. "Fifty years of research on genetics and plant breeding in the Research Institute of Crop Production, Prague-Ruzyně." Czech Journal of Genetics and Plant Breeding 38, No. 1 (2012): 1–2. http://dx.doi.org/10.17221/6105-cjgpb.

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Dissertations / Theses on the topic "Crop research"

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Gelt, Joe. "Wanted: A Viable Biofuel Crop." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2007. http://hdl.handle.net/10150/622106.

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McGinley, Susan. "An Alternative Paper Crop from the Southwest." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 1992. http://hdl.handle.net/10150/622399.

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Aslam, M. "Competition studies of genotype interactions in crop mixtures." Thesis, Bangor University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381915.

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Littlefield, Joanne. "The Desert Vegetable Crop Production Program: Assistance for Arizona's Growers." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2000. http://hdl.handle.net/10150/622279.

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McGinley, Susan. "New Barley Variety:"Low- Input" Crop Uses Less Water, Fertilizer." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2007. http://hdl.handle.net/10150/622139.

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McGinley, Susan. "Analyzing Crop Insurance Rates: Research Offers New Ways to Set Premiums for Farmers." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2002. http://hdl.handle.net/10150/622241.

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Mazumdar, Deepayan Dutta. "Multiangular crop differentiation and LAI estimation using PROSAIL model inversion." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Geography, c2011, 2011. http://hdl.handle.net/10133/3103.

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Understanding variations in remote sensing data with illumination and sensor angle changes is important in agricultural crop monitoring. This research investigated field bidirectional reflectance factor (BRF) in crop differentiation and PROSAIL leaf area index (LAI) estimation. BRF and LAI data were collected for planophile and erectophile crops at three growth stages. In the solar principal plane, BRF differed optimally at 860 nm 60 days after planting (DAP) for canola and pea, at 860 nm 45 and 60 DAP for wheat and barley, and at 860 nm and 670 nm 45 and 60 DAP for planophiles versus erectoph
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McGinley, Susan. "Cotton and Field Crop Costs and Returns: Identifying Risks and Opportunities for the Central Arizona region." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 1999. http://hdl.handle.net/10150/622294.

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Collins, Shane. "Residue composition influences nutrient release from crop residues." University of Western Australia. School of Earth and Geographical Sciences, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0171.

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[Truncated abstract] A greater adoption of stubble retention, minimum-till and no-till farming practices for the purposes of conserving soil, water and fertility requires a greater understanding of the complexity of physical and chemical interactions between the soil and crop residues. There is currently insufficient knowledge to allow reliable predictions of the effects of different residue types in different environments on soil fertility and crop growth, owing to the many residue characteristics and environmental interactions that have been shown to affect decomposition or nutrient release.
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Amadi, Juliana N. "Crop level productivity, producer levies and returns to research in UK agriculture (1953-1995)." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269731.

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Books on the topic "Crop research"

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College, Scottish Agricultural. Crop science research report 1998. Scottish Agricultural College, 1997.

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Robinson, Robert G. Camelina: A useful research crop and a potential oilseed crop. Minnesota Agricultural Experiment Station, University of Minnesota, 1987.

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Robinson, R. G. Camelina: A useful research crop and a potential oilseed crop. Minnesota Agricultural Experiment Station, University of Minnesota, 1987.

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Jeschke, Peter, Wolfgang Krämer, Ulrich Schirmer, and Matthias Witschel, eds. Modern Methods in Crop Protection Research. Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527655908.

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Lakshmi, K. R. Statistical methods for tropical tuber crop research. Central Tuber Crops Research Institute, 2003.

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United States. Agricultural Research Service. ARS research for the 21st century: Proceedings from the Stakeholder and Customer Input Session : March 7-8, 2002 : University of Georgia, Tifton Campus Conference Center, Tifton, Georgia. Report edited and published by the Hill Group, 2002.

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Fowler, A. M. A review of food crop research in Zanzibar. s.n., 1997.

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Sharma, A. R. Resource conserving techniques in crop production. Scientific Publishers (India), 2011.

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Fowler, A. M. Research requirements for improved food crop production in Zanzibar. s.n., 1997.

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Institute of Arable Crops Research. Integrated approach to crop research: IACR report for 1999. Institute of Arable Crops Research, 1999.

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Book chapters on the topic "Crop research"

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Gullino, Maria Lodovica, Abraham Gamliel, Jacqueline Fletcher, and James Peter Stack. "Crop and Food Biosecurity Research: Luxury or Need?" In Crop Biosecurity. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8476-8_11.

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Mudege, Netsayi Noris, Silvia Sarapura Escobar, and Vivian Polar. "Gender Topics on Potato Research and Development." In The Potato Crop. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-28683-5_14.

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Porceddu, Enrico, and Ardeshir Damania. "Research on Crop Wild Relatives in Major Food Crops." In Crop Wild Relatives and Climate Change. John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118854396.ch8.

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Li, Man, Xinpeng Qi, Meng Ni, and Hon Lam. "Silicon Era of Carbon-Based Life: Application of Genomics and Bioinformatics in Crop Stress Research." In Crop Breeding. CRC Press, 2016. http://dx.doi.org/10.1201/9781315365084-6.

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Trumble, John T. "Integrating Pheromones into Vegetable Crop Production." In Insect Pheromone Research. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6371-6_35.

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Jain, Rohit, Swati Gupta, Sumita Kachhwaha, and S. L. Kothari. "Integrated Metabolome and Transcriptome Analysis: A New Platform/Technology for Functional Biology and Natural Products Research." In Crop Improvement. CRC Press, 2021. http://dx.doi.org/10.1201/9781003099079-3.

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Battisti, Rafael, Derblai Casaroli, Jéssica Sousa Paixão, José Alves Júnior, Adão Wagner Pêgo Evangelista, and Marcio Mesquita. "Assessment of Soybeans Crop Management Strategies Using Crop Growth Models for Central Brazil." In Innovations in Landscape Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37421-1_27.

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Blümme, Michael, Anandan Samireddypalle, Perez Haider Zaidi, Vincent Vadez, Ramana Reddy, and Pasupuleti Janila. "Multidimensional crop improvement by ILRI and partners: drivers, approaches, achievements and impact." In The impact of the International Livestock Research Institute. CABI, 2020. http://dx.doi.org/10.1079/9781789241853.0480.

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Abstract This chapter reviews the findings, outputs and outcomes of research on multidimensional crops in the tropics, focusing mainly on cereals and grain legumes. Specifically, the chapter addresses the: (i) establishment of crop residues (CRs) as traded commodities and their changing valuation as the impetus for multidimensional crop improvement; (ii) trait identification and development of infrastructure for quick and affordable phenotyping for CR fodder quality; (iii) exploitation of existing cultivar-dependent variations in CR fodder quality; (iv) targeted genetic enhancement for multitrait food-feed-fodder cultivars; (v) trade-offs between CR fodder traits and primary traits, notably grain and pod or straw yields; and (vi) outcomes of multidimensional crop improvement and future work.
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Axtell, John D., Usha Barwale-Zehr, and Paul J. Peters. "Interdisciplinary McKnight Research Project for Sorghum Improvement." In International Crop Science I. Crop Science Society of America, 2015. http://dx.doi.org/10.2135/1993.internationalcropscience.c82.

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Bastiaans, Lammert, and Jonathan Storkey. "Descriptive and Mechanistic Models of Crop-Weed Competition." In Weed Research. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119380702.ch2.

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Conference papers on the topic "Crop research"

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Pour, Majid Khak, Reza Fotouhi, and Pierre Hucl. "Development of a Mobile Platform for Wheat Phenotyping." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24329.

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Abstract Designing and implementing an affordable High-Throughput Phenotyping Platform (HTPP) for monitoring crops’ features in different stages of their growth can provide valuable information for crop-breeders to study possible correlation between genotypes and phenotypes. Conducting automatic field measurements can improve crop productions. In this research, we have focused on development of a mechatronic system, hardware and software, for a mobile field-based HTPP for autonomous crop monitoring for wheat field. The system can measure canopy’s height, temperature, vegetation indices and is
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Saranya, S., and T. Amudha. "Crop planning optimization research — A detailed investigation." In 2016 IEEE International Conference on Advances in Computer Applications (ICACA). IEEE, 2016. http://dx.doi.org/10.1109/icaca.2016.7887951.

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"A GENETIC ALGORITHM FOR CROP ROTATION." In 1st International Conference on Operations Research and Enterprise Systems. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003761904540457.

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Zhenchenko, K. G., E. N. Turin, A. A. Gongalo, V. Yu Ivanov, N. V. Karaeva, and V. V. Reent. "Weed infestation in the crop rotations depending on the cultivation technology in the Crimea." In CURRENT STATE, PROBLEMS AND PROSPECTS OF THE DEVELOPMENT OF AGRARIAN SCIENCE. Federal State Budget Scientific Institution “Research Institute of Agriculture of Crimea”, 2020. http://dx.doi.org/10.33952/2542-0720-2020-5-9-10-20.

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The stationary experiment on the comparative study of the direct sowing and traditional cultivation technology was laid in 2015–2016 at the trial field of the FSBSI “Research Institute of Agriculture of Crimea”. Two five-course crop rotations were taken as a base; all fields were included in the crop rotation. During the years of research, we observed mixed weed infestation. No matter what cultivation technology was applied, actual weed flora at the fields with winter crops was represented by overwintering and winter weeds; at the fields with spring crops – annual spring weeds. There were no r
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Glubokovskih, Aleksandr. "Modes of agricultural use, productivity and fertility of developed lowland peat soils." In Multifunctional adaptive fodder production23 (71). Federal Williams Research Center of Forage Production and Agroecology, 2020. http://dx.doi.org/10.33814/mak-2020-23-71-108-114.

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The results of many years of research on the cultivation of crops in fodder crop rotation on dried peat soil are presented. A productive and agroecological assessment of crop rotation with various saturation with perennial grasses is given. The data on the reduction of peat reserves and changes in the agrochemical properties of the soil are presented.
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Rice, Marlin E. "Field Crop Insects- Research Results and Management Recommendations." In Proceedings of the First Annual Crop Production and Protection Conference. Iowa State University, Digital Press, 1991. http://dx.doi.org/10.31274/icm-180809-365.

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Wang, Di, Qingbo Zhou, Yan Su, and Zhongxin Chen. "Advances in research on crop identification using SAR." In 2015 Fourth International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, 2015. http://dx.doi.org/10.1109/agro-geoinformatics.2015.7248111.

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E, Y., and Y. P. Zhu. "Research of Crop Breeding Information Intelligent Collaborative System." In The 2015 International Conference on Software Engineering and Information Technology (SEIT2015). WORLD SCIENTIFIC, 2015. http://dx.doi.org/10.1142/9789814740104_0021.

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Melvin, Stewart W., and Donald C. Erbach. "Soil Compaction Research Summary." In Proceedings of the First Annual Crop Production and Protection Conference. Iowa State University, Digital Press, 1991. http://dx.doi.org/10.31274/icm-180809-370.

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Mueller, Daren. "Research update on sudden death syndrome." In Proceedings of the 24th Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 2013. http://dx.doi.org/10.31274/icm-180809-122.

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Reports on the topic "Crop research"

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Nonnecke, Gail R., and Dennis N. Portz. On-going Berry-crop Production Research. Iowa State University, Digital Repository, 2010. http://dx.doi.org/10.31274/farmprogressreports-180814-2430.

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Langston, David B., and Hillary L. Mehl. Applied Research on Field Crop Disease & Nematode Management 2020. Virginia Cooperative Extension, 2021. http://dx.doi.org/10.21061/spes-296np.

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Reyes, Julian, Jeb Williamson, and Emile Elias. Spatio-temporal analysis of Federal crop insurance cause of loss data: A roadmap for research and outreach effort. U.S. Department of Agriculture, 2018. http://dx.doi.org/10.32747/2018.7202608.ch.

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Federal crop insurance provides a financial safety net for farmers against insured perils such as drought, heat, and freeze. In 2016 over $100 billion dollars of crops were insured through the Federal crop insurance program administered by the U.S. Department of Agriculture Risk Management Agency. In this white paper, we analyze publicly-available Federal crop insurance data to understand how weather and climate-related perils, or causes of loss (COL), change over time and spatial areas. We find that over 75% of all weather/climate-related indemnities (i.e., crop losses) from 2001 to 2016 are
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Wiedenhoeft, M. H., R. L. Hintz, and P. Patrick. Forage Crop Research: Evaluating Forage Species in Iowa for Productivity during Drought Conditions. Iowa State University, Digital Repository, 2003. http://dx.doi.org/10.31274/farmprogressreports-180814-832.

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Wiedenhoeft, M. H., R. L. Hintz, and P. Patrick. Forage Crop Research: Evaluating Forage Species in Iowa for Productivity during Drought Conditions. Iowa State University, Digital Repository, 2002. http://dx.doi.org/10.31274/farmprogressreports-180814-925.

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Wiedenhoeft, M. H. Forage Crop Research: Evaluating Forage Species in Iowa for Productivity during Drought Conditions. Iowa State University, Digital Repository, 2003. http://dx.doi.org/10.31274/farmprogressreports-180814-259.

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Woldeyohanes, Tesfaye, Karl Hughes, Kai Mausch, and Judith Oduol. Adoption of improved grains legumes and dryland cereals crop varieties: A synthesis of evidence. World Agroforestry, 2021. http://dx.doi.org/10.5716/wp21022.pdf.

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Like other crop improvement programs, a key prerequisite for the CGIAR Research Program on Grain Legumes and Dryland Cereals (CRP GLDC) to generate large-scale impact is large-scale adoption. Hence, evidencing the breadth and depth of such adoption is both of intrinsic interest and important for estimating downstream impacts, such as improved food and nutritional security, income, resilience, and soil health. While various GLDC adoption studies have been undertaken, a recent effort to systematically review these studies and synthesize the results is lacking. We undertook such a review, identif
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Wiedenhoeft, M. H., R. L. Hintz, and P. Patrick. Forage Crop Research: Evaluating Forage Species in Iowa for Productivity during Drought Conditions—Yield. Iowa State University, Digital Repository, 2005. http://dx.doi.org/10.31274/farmprogressreports-180814-2120.

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Wiedenhoeft, M. H., R. L. Hintz, and P. Patrick. Forage Crop Research: Evaluating Forage Species in Iowa for Productivity during Drought Conditions—Quality. Iowa State University, Digital Repository, 2005. http://dx.doi.org/10.31274/farmprogressreports-180814-2194.

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Bouton, J. H. Bioenergy Crop Breeding and Production Research in the Southeast, Final Report for 1996 to 2001. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/814494.

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