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Relevant bibliographies by topics / Crop research

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Academic literature on the topic 'Crop research'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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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 papers and front words of oil crop using the CiteSpace software. It identifies the content of high cited documents, analyzes the research focus of international oil crop.

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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-year average crop water requirements were 400.8mm, 353.5mm, 394.3mm for small spring crops of wheat, beans, rape. Because the effective rainfall for these crops during growth period is relative less, crop irrigation water requirements for small spring crop is much. Vegetables and flowers are plant around the year, so the crop water and irrigation water requirements are the largest.

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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 trials from 20082011 to establish whether crop sensing could replace visual assessments for disease and enable yield prediction NDVI readings were compared against other parameters measured in the trials such as disease scores green leaf area percentage and yields In some trials the NDVI followed similar trends to disease green leaf retention and yields However in other cases where clear treatment effects were recorded through visual or yield assessments there were no differences in NDVI between the treatments As NDVI can be affected by a number of factors it was concluded that crop sensing technology can be used as an additional objective measurement in conjunction with standard assessment practice but without further investigation cannot replace traditional assessment methods

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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 experience with expertise to address various aspects of the research problem, and scientists must function as a cohesive unit or team. The prevailing attitude that all experimental data must be statistically analyzed to be of any value is also a detriment to integrated research. Statistical analyses of these projects may be quite challenging and require new or unusual approaches. Related to the prevailing need for statistical analysis is also the need for scientists to publish senior authored publications for career advancement. Conducting integrated research may not facilitate scientists' publishing the number and quality of publications required for them to meet these criteria. A further obstacle to integrated research alluded to above, involves the many experimental design compromises that must be made by cooperating scientists. Crop and soil scientists for example, use many treatments and replications with small plots, while animal scientists, by necessity, have experiments that involve relatively large numbers of hectares and animal numbers with relatively few treatments and replications. It is therefore extremely difficult to initiate such projects given these inherent differences in crop versus livestock research protocol, as well as to design effective experiments that will provide publishable data. Making compromises on the many factors relevant to integrated crop/livestock research while designing experiments that will provide solutions to pertinent producer problems as well as useful data that can be statistically analyzed and published is, therefore, extremely difficult.

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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 of potassium used per hectare for maize crops; human consumption of corn worldwide; net export of corn and FOB export price. The statistical data used in this research was taken from specialized international sites for agriculture and food. In this research several references are made to the future evolution of the world maize market. The forecast period is 2019-2025. Changes that occur on the world corn market are due to several factors, the most representative of which are: the decisions of the main actors acting on this market and the natural conditions. Quantitative statistical methods have been used to carry out this research.

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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 information, obtained crop water shortage information through crop water stress index (CWSI), so as to guide the agricultural irrigation. The test proves that the system is working in good condition, can be effective for data acquisition and processing, so as to achieve the design requirements.

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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 erectophiles. The field BRF data helped better understand PROSAIL LAI estimation. NDVI was preferred for estimating LAI, however the MTVI2 vegetation index showed high sensitivity to view angles, particularly for erectophiles. The hotspot was important for crop differentiation and LAI. Availability of more along-track, off-nadir looking spaceborne sensors was recommended for agricultural crop monitoring.
xiii, 161 leaves : ill., map ; 29 cm

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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. The role of fibre and nutrient composition in nutrient release from crop residues, and implications for residue management techniques, were studied. Canola, lupin and field pea residues, obtained from farmland in Meckering and Northam, Western Australia, were separated into upper and basal stems, leaves, and siliques or pods. This was done to provide materials with a wide range of chemical and physical characteristics, and also allowed consideration of differential residue management of plant organs, such as comparing harvested canola siliques and retained canola stubble. Pre-treatment by chopping and/or humidification was applied to residues to provide some information about the processes of nutrient release. Residues were subjected to simulated rainfall to assess nutrient leaching from plant material, and placed on soil in pots in constant-temperature glasshouse conditions to assess decomposition. Amounts and rates of change of residue fibre and nutrients were determined throughout leaching and decomposition. Energy Dispersive X-ray (EDX) microanalysis was used to assess the location of diffusible ions in air-dried residues and the effects of humidification on nutrient positioning and release. ... However, the release of calcium and magnesium depended on the decomposition of the more recalcitrant components such as cellulose and lignin, as supported by microscopy results showing changes in nutrient distribution following humidification. The proportionality of amounts of calcium and magnesium leached and released during decomposition is likely to suggest a similarity of chemical form more than similarity of function or position of the two elements. Management of crop residues for maximising and optimising the timing of release of different nutrients will need to take into account the placement of different plant types and parts, particle sizes distribution and pre-treatment of material to efficiently manage short- and long-term soil fertility to sustain crops, particularly on degraded soils. Significant nutrient release of potassium, sulphur and magnesium from crop residues can be achieved from surface placement, with the release of potassium and sulphur managed by modifying residue particle size through appropriate harvesting, ploughing or sowing implement selection. High nutrient uptake crops and plant parts where they can be economically viable to grow or separated by the harvesting technique are particularly valuable as sources of nutrients and soil organic matter.

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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 able to take high quality photos of crops. The system includes developed software for data and image acquisition. The main contribution of this study is autonomous, reliable, and fast data collection for wheat and similar crops.

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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 rootstock grasses and rhizomatous perennial weeds or there were few of them at all fields in the experimental crop rotations both by traditional cultivation technology and direct sowing. Timely and high-quality weed control put the direct sowing on equal footing with the traditional one. It is advisable to change herbicides, their doses, as well as use tank mixes, after moving to a direct sowing system.

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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 due to three COL: drought, excess moisture, and hail. However, the extent to which these top COL and others impact indemnities is highly dependent on the time period, temporal scale, and spatial scale of analysis. Moreover, we identify what COL are region- or season-specific, and visualize COL trends over time. Finally, we offer a road map of research applications to quantify such trends in indemnities, as well as outreach and extension efforts that include an online data portal.

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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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Abstract:

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, identifying 69 studies and 35 independent country crop combinations (CCCs). To generate aggregated and updated estimates of GLDC improved varietal adoption, we devised and applied a procedure to estimate national cropping areas under such varieties and, in turn, the number of adopting households. Estimates derived from household surveys and expert opinion solicitation are treated with higher and lower levels of confidence, respectively. As of 2019, we estimate from higher confidence studies that improved GLDC crops were cultivated on 15.37 million hectares of land by 17.64 million households in CRP GLDC’s 13 priority countries. With the inclusion of lower confidence studies, these numbers increase to 32 and 44.64 million, respectively. We are further confident that the program exceeded its adoption target of 8.9 million newly adopting households from 2011, particularly when likely spillovers vis-à-vis non-surveyed areas, non-priority countries, and non-priority crops in priority countries are considered.

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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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