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Thematische Bibliographien / Wheat Yield

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Zeitschriftenartikel
Dissertationen
Bücher
Buchteile
Konferenzberichte
Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Wheat Yield“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 25. Juli 2025

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Zeitschriftenartikel zum Thema "Wheat Yield"

1

Terzić, Dragan, Vera Đekić, Jelena Milivojević, et al. "Yield components and yield of winter wheat in different years of research." Biologica Nyssana, Journal of Biological Sciences 9, no. 2 (2019): 119–31. https://doi.org/10.5281/zenodo.2538604.

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Field trial with wheat varieties Perfekta, KG 56S, Aleksandra and Vizija was set on vertisol-type soil during the vegetation season 2010/11 and 2011/12. The aim of the research was to analyse the yield and grain yield components in four varieties of wheat cultivated on acid soil. The highest values of yield components and grain quality were established in the year with moderate temperatures and high precipitation in the vegetation year 2010/11. The KG 56S and Vizija varieties had the highest yield of grain, the highest number of plants and spikes per m2. The Perfekta variety showed the highest

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2

ASHOK, TIWARI, N. TIWARI K., and N. PATHAK A. "Potassium for Yield Improvement of Wheat." Journal of Indian Chemical Society Vol. 71, May 1994 (1994): 273–75. https://doi.org/10.5281/zenodo.5894773.

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Department of Sotl Science and Agricultural Chemistry, C. S Azad University of Agriculture and Technology, Kanpur-208 002 <em>Manusript received 10 April 1993. accepted 30 June 1993</em> Potassium for Yield Improvement of Wheat

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3

Altay, F., and N. Bolat. "Effect of soilborne wheat mosaic virus on winter wheat yield and yield components." Acta Agronomica Hungarica 52, no. 3 (2004): 309–17. http://dx.doi.org/10.1556/aagr.52.2004.3.12.

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Soil-borne wheat mosaic virus (SBWMV) is an important disease of wheat production areas throughout the world, causing a great reduction in wheat and barley yields. The most effective way of controlling the disease is the use of resistant varieties in infested areas. In this study, the effects of SBWMV on yields and some yield components of eight susceptible, one moderately susceptible/resistant and nine resistant varieties were evaluated using data from 9 virus-infested and 6 non-infested sites in Eskisehir, Turkey over 6 years. The susceptible varieties yielded 5.35% more than resistant varie

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4

Kobus, Paweł. "Modelling wheat yields variability in Polish voivodeships." Zeszyty Naukowe SGGW w Warszawie - Problemy Rolnictwa Światowego 10, no. 3 (2010): 33–40. http://dx.doi.org/10.22630/prs.2010.10.3.30.

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The paper presents an analysis of wheat yields variability in the voivodeships of Poland. The main aim of the study was to find out what are the statistical relationships between the wheat yield variability and the following factors: arable area, size of wheat production area, share of arable land used for wheat production, land quality and average yield. For that purpose a multiple linear regression was applied. It was found out that the detected spatial autocorrelation of wheat yields variability measured by standard deviations can be explained in 75% by the fitted model. Two of the consider

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5

Asthir, Bavita, Shashi Bala, and Navtej Singh Bains. "Effect of Terminal Heat Stress on Yield and Yield Attributes of Wheat." Indian Journal of Applied Research 4, no. 6 (2011): 1–2. http://dx.doi.org/10.15373/2249555x/june2014/1.

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6

Hannah, MC, and GJ O'Leary. "Wheat yield response to rainfall in a long-term multi-rotation experiment in the Victorian Wimmera." Australian Journal of Experimental Agriculture 35, no. 7 (1995): 951. http://dx.doi.org/10.1071/ea9950951.

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Seventy-six years of wheat yield data from a long-term rotation experiment at Dooen in the Victorian Wimmera were analysed to describe the response of wheat yield to seasonal rainfall, crop sequence, and time. Wheat yields from 7 different 1- to 4-course rotations involving wheat, barley, oat, field pea, grass pasture and fallow were compared as a function of growing-season (May-November) rainfall. The field layout had no within-year replication, but each phase of each rotation was represented once in each year. An approximate quadratic response of wheat yield to both current year and previous

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7

Budzyński, W. S., K. Bepirszcz, K. J. Jankowski, et al. "The responses of winter cultivars of common wheat, durum wheat and spelt to agronomic factors." Journal of Agricultural Science 156, no. 10 (2018): 1163–74. http://dx.doi.org/10.1017/s0021859619000054.

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AbstractA field experiment with the 35–1 fractional factorial design and five factors (k = 5) at three levels (s = 3) was performed in 2007–2010 at the Agricultural Experiment Station in Bałcyny, north-eastern (NE) Poland. The results of the experiment carried out under the agro-ecological conditions of NE Poland confirmed the high yield potential of common wheat and satisfactory yield potential of spelt and durum wheat. On average, durum wheat and spelt yields were 2.14 and 2.55 t/ha lower, respectively, than common wheat yields. Sowing date was not correlated with the yields of analysed Trit

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8

Sweeney, G., RS Jessop, and H. Harris. "Yield and yield structure of triticales compared with wheat in northern New South Wales." Australian Journal of Experimental Agriculture 32, no. 4 (1992): 447. http://dx.doi.org/10.1071/ea9920447.

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The yields and yield structure of cultivars of triticales and bread wheats (with a range of phasic development patterns in both species) were compared in 2 field experiments at Narrabri in northern New South Wales. The experiments were performed on a grey cracking clay soil with irrigation to prevent severe moisture stress. Triticales, both early and midseason types, appeared to have reached yield parity with well-adapted wheat varieties. Meaned over the 2 experiments and all sowings, the triticales yields were 19% greater than the bread wheats. Triticales were generally superior to wheat in a

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9

Hu, Naiyue, Chenghang Du, Wanqing Zhang, et al. "Did Wheat Breeding Simultaneously Improve Grain Yield and Quality of Wheat Cultivars Releasing over the Past 20 Years in China?" Agronomy 12, no. 9 (2022): 2109. http://dx.doi.org/10.3390/agronomy12092109.

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Grain yield and quality of wheat are both important components for food security. Great effort has been made in the genetic improvement of wheat grain yield in China. However, wheat grain quality (i.e., protein concentration and protein quality) has received much less attention and is often overlooked in efforts to improve grain yield. A timely summary of the recent process of wheat breeding for increasing yield and quality (which can be used to guide future breeding strategies) is essential but still lacking. This study evaluated the breeding efforts on grain yield and grain quality of 1908 w

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10

Carew, Richard, Elwin G. Smith, and Cynthia Grant. "Factors Influencing Wheat Yield and Variability: Evidence from Manitoba, Canada." Journal of Agricultural and Applied Economics 41, no. 3 (2009): 625–39. http://dx.doi.org/10.1017/s1074070800003114.

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Production functions to explain regional wheat yields have not been studied extensively in the Canadian prairies. The objective of this study is to employ a Just-Pope production function to examine the relationship between fertilizer inputs, soil quality, biodiversity indicators, cultivars qualifying for Plant Breeders' Rights (PBR), and climatic conditions on the mean and variance of spring wheat yields. Using regional-level wheat data from Manitoba, Canada, model results show nitrogen fertilizer, temporal diversity, and PBR wheat cultivars are associated with increased yield variance. Mean w

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Dissertationen zum Thema "Wheat Yield"

1

Dick, G., J. Harper, L. Moore, and M. Ottman. "Effect of Russian Wheat Aphid on Durum Wheat Yield." College of Agriculture, University of Arizona (Tucson, AZ), 1988. http://hdl.handle.net/10150/200817.

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2

Zubaidi, Akhmad. "Growth and yield of durum and bread wheat." Title page, contents and summary only, 1996. http://web4.library.adelaide.edu.au/theses/09A/09az93.pdf.

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Bibliography: leaves 148-160. A series of experiments was conducted to examine the growth and nutrient uptake of durum and bread wheat at a number of sites in South Australia. The experiments examined response to water stress, the pattern of root and shoot growth, soil water extraction and nutrient uptake among a range of adapted bread wheat and durum wheat cultivars.

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Husaker, Douglas, and Dale Bucks. "Crop Yield Variability in Irrigated Wheat." College of Agriculture, University of Arizona (Tucson, AZ), 1986. http://hdl.handle.net/10150/200484.

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Optimum design and management of irrigated wheat production is limited by the scarcity of information available on yield variability. The purpose of this study was to evaluate the spatial variability in soil-water parameters and the effects compared to grain yield response under level-basin irrigation. Three levels of seasonal irrigation water and two border lengths were used. Grain yields were found to increase significantly with the amount of water applied and soil water depletion (estimate of crop evapotranspiration), although yield variability was greater with reduced or deficit irrigation

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4

Torofder, Golam. "Manipulating wheat yield in semi-arid environments." Thesis, University of Aberdeen, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394451.

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Findings from a number of recent glasshouse studies are reported and their relevance to wheat production practices in Bangladesh is discussed. It was found that application of large amounts of urea gave highest grain yield when the total amount of urea was added immediately after irrigation following germination. The same amount of urea applied before irrigation or in smaller doses throughout the growing season gave lower yield and resulted in higher post-harvest concentrations of soil nitrate. Reducing the total urea application to one quarter of the typical maximum reported value, did not ca

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Misailidis, Nikiforos. "Understanding and predicting alcohol yield from wheat." Thesis, University of Manchester, 2010. https://www.research.manchester.ac.uk/portal/en/theses/understanding-and-predicting-alcohol-yield-from-wheat(845cbadd-5825-488e-94e7-160c60b2ef0d).html.

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Bioethanol is a promising renewable biofuel and wheat is currently the main candidate asthe feedstock for its production in the UK context. The quality of the numerous varieties ofwheat developed in the past by plant breeders has been well examined in terms of bread, biscuitand pasta producing industries. In general, the end-use quality determination of wheat in termsof alcohol yield is less investigated. This work focused on understanding and predicting thealcohol yield from wheat according to its physical, physicochemical and chemicalcharacteristics. The research ran alongside the GREEN Grai

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6

Farr, Chuck. "Yield Requirements of Non-Premium Durum Wheat." College of Agriculture, University of Arizona (Tucson, AZ), 1986. http://hdl.handle.net/10150/200542.

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7

Grotenhuis, Timothy P. "Superoptimal CO2 Reduces Seed Yield in Wheat." DigitalCommons@USU, 1996. https://digitalcommons.usu.edu/etd/6747.

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Although projected terrestrial CO2 levels will not reach 1000 μmol moI-1 (0.1%) for many decades, CO2 levels in growth chambers and greenhouses routinely exceed that concentration. CO2 levels in life support systems in space can exceed 10,000 μmol moI-1 (1%) CO2. Numerous studies have examined CO2 effects up to 1000 μmol mol-1, but theoretical and some experimental evidence indicates that the beneficial effects of CO2 continue past 1000 μmol mol-1 and are near-optimal for wheat at about 1200 μmol mol-1. We studied the effects of near-optimal and superoptimal CO2 levels (>1200 μmol mol-1) on yi

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8

Ottman, Michael J. "Wheat and barley varieties for Arizona, 2017." College of Agriculture, University of Arizona (Tucson, AZ), 2017. http://hdl.handle.net/10150/625860.

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Ottman, Michael J. "Wheat and barley varieties for Arizona, 2016." College of Agriculture, University of Arizona (Tucson, AZ), 2016. http://hdl.handle.net/10150/625421.

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10

Sloane, David. "Early vigour : its role in enhancing the productivity of wheat grown in South Australia /." Title page, contents and abstract only, 1999. http://web4.library.adelaide.edu.au/theses/09AFP/09afps634.pdf.

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Bücher zum Thema "Wheat Yield"

1

United States. Agricultural Research Service., ed. ARS wheat yield project. The Service, 1985.

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2

AGRICULTURE, US DEPARTMENT OF. 2004 wheat objective yield survey interviewer's manual. U.S. Dept. of Agriculture, National Agricultural Statistics Service, Agricultural Statistics Board, 2004.

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AGRICULTURE, US DEPARTMENT OF. 2001 wheat objective yield survey interviewer's manual. U.S. Dept. of Agriculture, 2001.

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4

Davies, Samuel. Soybean and wheat crops: Growth, fertilization, and yield. Nova Science Publishers, 2009.

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5

Smith, Edward L., ed. Genetic Improvement in Yield of Wheat. Crop Science Society of America and American Society of Agronomy, 1986. http://dx.doi.org/10.2135/cssaspecpub13.

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6

Braun, H. J., M. P. Reynolds, and J. Pietragalla. International symposium on wheat yield potential: Challenges to international wheat breeding. Edited by International Maize and Wheat Improvement Center. CIMMYT, 2008.

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7

Dumanski, J. Identification of crop production risk areas in Manitoba based on agroecological resources. Research Branch, Agriculture Canada, 1992.

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8

Smiley, Richard W. Plant-parasitic nematodes affecting wheat yield in the Pacific Northwest. Oregon State University Extension Service, 2005.

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Smiley, Richard W. Plant-parasitic nematodes affecting wheat yield in the Pacific Northwest. Oregon State University Extension Service, 2005.

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10

H, Satorre Emilio, and Slafer Gustavo A. 1960-, eds. Wheat: Ecology and physiology of yield determination. Food Products Press, 1999.

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Buchteile zum Thema "Wheat Yield"

1

Westcott, B. "Yield assessment." In Wheat Breeding. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3131-2_12.

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2

Foulkes, M. John, Gemma Molero, Simon Griffiths, Gustavo A. Slafer, and Matthew P. Reynolds. "Yield Potential." In Wheat Improvement. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90673-3_21.

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AbstractThis chapter provides an analysis of the processes determining the yield potential of wheat crops. The structure and function of the wheat crop will be presented and the influence of the environment and genetics on crop growth and development will be examined. Plant breeding strategies for raising yield potential will be described, with particular emphasis on factors controlling photosynthetic capacity and grain sink strength.

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3

Reis, Erlei Melo, Carlos A. Medeiros, and Marta M. Casa Blum. "Wheat Yield As Affected by Diseases." In Wheat. CRC Press, 2024. http://dx.doi.org/10.1201/9781003578444-12.

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Froud-Williams, Robert J. "Wheat Yield As Affected by Weeds." In Wheat. CRC Press, 2024. http://dx.doi.org/10.1201/9781003578444-10.

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Frederick, James R., and Philip J. Bauer. "Physiological and Numerical Components of Wheat Yield." In Wheat. CRC Press, 2024. http://dx.doi.org/10.1201/9781003578444-4.

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Borghi, Basilio. "Nitrogen As Determinant of Wheat Growth and Yield." In Wheat. CRC Press, 2024. http://dx.doi.org/10.1201/9781003578444-5.

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Richards, Richard A. "Drought." In Wheat Improvement. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90673-3_23.

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AbstractEstablished breeding methods for wheat in dry environments continue to make gains. It will remain the cornerstone for wheat improvement. This Chapter discusses proven methods to make additional gains. It discusses a way to benchmark yield potential in dry environments and how this can be used to determine whether unexpected agronomic or genetic factors are limiting yields. It examines opportunities, advantages and disadvantages of trait-based selection methods for dry environments, and it presents a framework by which important traits can be selected. Both high throughput and marker-ba

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Slafer, Gustavo A., Jose L. Araus, and Richard A. Richards. "Physiological Traits That Increase the Yield Potential of Wheat." In Wheat. CRC Press, 2024. http://dx.doi.org/10.1201/9781003578444-21.

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9

Graybosch, Robert, Harold E. Bockelman, Kimberly A. Garland-Campbell, David F. Garvin, and Teshome Regassa. "Wheat." In Yield Gains in Major U.S. Field Crops. American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2135/cssaspecpub33.c16.

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10

Satorre, Emilio H. "Plant Density and Distribution As Modifiers of Growth and Yield." In Wheat. CRC Press, 2024. http://dx.doi.org/10.1201/9781003578444-9.

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Konferenzberichte zum Thema "Wheat Yield"

1

Babbar, Nandini, Ashish Kumar, and Vivek Kumar Verma. "Predicting Wheat Yield Using Sequential and Deep Convolutional Neural Networks." In 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2024. http://dx.doi.org/10.1109/icesc60852.2024.10689887.

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2

Ma, Lawrence, and Lin Zou. "A Creative Computing Approach to Forecasting Yield Shock of Winter Wheat." In 2024 IEEE 24th International Conference on Software Quality, Reliability, and Security Companion (QRS-C). IEEE, 2024. http://dx.doi.org/10.1109/qrs-c63300.2024.00158.

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3

Bozorgi, Mahsa, and Jordi Cristóbal. "Time Series Analysis of Evapotranspiration for Assessing Drough Impact on Wheat Yield." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642928.

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4

Khechba, Keltoum, Mariana Belgiu, Ahmed Laamrani, Qi Dong, Alfred Stein, and Abdelghani Chehbouni. "Stratified Machine Learning Models for Wheat Yield Estimation Using Remote Sensing Data." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641044.

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Vikram, Aadi Krishna, Ashish Agrawal, Ankit Ranjan, et al. "Optimizing Wheat Ear Head Detection and Yield Estimation Through UAV Based Imagery." In TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON). IEEE, 2024. https://doi.org/10.1109/tencon61640.2024.10902737.

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6

Madić, Milomirka, Dragan Đurović, Vladeta Stevović, et al. "GRAIN YIELD AND YIELD COMPONENTS OF PROSPECTIVE HOMOZYGOUS WINTER WHEAT GENOTYPES." In 2nd International Symposium on Biotechnology. Faculty of Agronomy in Čačak, University of Kragujevac, 2024. http://dx.doi.org/10.46793/sbt29.03mm.

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During the two-year research on the experimental field of the Grain Center in Kragujevac, the 1,000-grain weight, hectoliter mass and grain yield of ten prospective homozygous genotypes of wheat were analyzed. During the growing season, the average annual temperature and precipitation were favorable for growing wheat. In both growing seasons, precipitation was 120 mm more than the annual average, and 220 mm more in the second year. Genotype L- 1/59 had the highest grain yield and the highest 1,000-grain weight, while the hectoliter mass was more or less equal to other genotypes. All genotypes

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7

Fajardo, M., B. Whelan, P. Filippi, and T. Bishop. "Wheat yield forecast using contextual spatial information." In 12th European Conference on Precision Agriculture. Wageningen Academic Publishers, 2019. http://dx.doi.org/10.3920/978-90-8686-888-9_88.

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Junankar, Tejas, Jasleen Kaur Sondhi, and Akhil M. Nair. "Wheat Yield Prediction using Temporal Fusion Transformers." In 2023 2nd International Conference for Innovation in Technology (INOCON). IEEE, 2023. http://dx.doi.org/10.1109/inocon57975.2023.10101144.

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9

Lamba, Vikas, Susheela Hooda, Rakesh Ahuja, and Amandeep Kaur. "Wheat Yield Prediction Using Feedforward Neural Networks." In 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2021. http://dx.doi.org/10.1109/icrito51393.2021.9596464.

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Kumar, Deepak, Yash Kumar, Akhilesh Gulati, and Vinay Kukreja. "Wheat Crop Yield Prediction Using Machine Learning." In 2022 International Conference on Data Analytics for Business and Industry (ICDABI). IEEE, 2022. http://dx.doi.org/10.1109/icdabi56818.2022.10041621.

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Berichte der Organisationen zum Thema "Wheat Yield"

1

Raitzer, David, and Joeffrey Drouard. Empirically Estimated Impacts of Climate Change on Global Crop Production via Increasing Precipitation–Evapotranspiration Extremes. Asian Development Bank, 2024. https://doi.org/10.22617/wps240589-2.

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To assess climate change effects on crop yields, remote sensing-derived yield and agrometeorological reanalysis data are used to construct a panel at 0.1-degree resolution for 2003–2015. Regressions controlling for grid cell-specific intercepts and time trends, temperature, rainfall, and cloudiness estimate the subregional relationships between yields and precipitation-evapotranspiration extremes for rice, wheat, and maize. Results imply that climate change will cause global yield reductions for all crops, with losses highest for wheat and maize, especially in South Asia and Southern Africa.

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2

Blum, Abraham, and Henry T. Nguyen. Molecular Tagging of Drought Resistance in Wheat: Osmotic Adjustment and Plant Productivity. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7580672.bard.

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Drought stress is a major limitation to bread wheat (Triticumaestivum L.) productivity and its yield stability in arid and semi-arid regions of world including parts of Israel and the U.S. Currently, breeding for sustained yields under drought stress is totally dependent on the use of yield and several key physiological attributes as selection indices. The attempt to identify the optimal genotype by evaluating the phenotype is undermining progress in such breeding programs. Osmotic adjustment (OA) is an effective drought resistance mechanism in many crop plants. Evidence exists that there is a

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3

Petzold, Christopher, Ai Oikawa, and Yang Tian. Fast growing high-yield wheat and canola for efficient nutrient recycling systems. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1593301.

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4

Beckman, Jayson, Fengxia Dong, Maros Ivanic, Jonas Jägermeyr, and Nelson Villoria. Climate-induced yield changes and TFP. Economic Research Service, U.S. Department of Agriculture, 2024. http://dx.doi.org/10.32747/2024.8534117.ers.

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Increasing agricultural productivity is vital to ensure that global food demand can be met. However, the impact of a changing climate on temperatures and precipitation could potentially influence agricultural productivity by affecting crop yields. This report combines the latest estimates of yield changes from the Agricultural Model Intercomparison and Improvement Project with projections of future productivity changes in the form of total factor productivity (TFP) to gain a better understanding of the future of agricultural production (and thus of food supply). Yield estimates are used from a

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Blum, Abraham, Henry T. Nguyen, and N. Y. Klueva. The Genetics of Heat Shock Proteins in Wheat in Relation to Heat Tolerance and Yield. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7568105.bard.

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Fifty six diverse spring wheat cultivars were evaluated for genetic variation and heritability for thermotolerance in terms of cell-membrane stability (CMS) and triphenyl tetrazolium chloride (TTC) reduction. The most divergent cultivars for thermotolerance (Danbata-tolerant and Nacozari-susceptible) were crossed to develop an F8 random onbred line (RIL) population. This population was evaluated for co-segragation in CMS, yield under heat stress and HSP accumulation. Further studies of thermotolerance in relations to HSP and the expression of heterosis for growth under heat stress were perform

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Minz-Dub, A., G. J. Muehlbauer, E. Millet, and A. Sharon. ing and characterization of a novel leaf rust and stripe rust resistance gene from Sharon goatgrass. United States-Israel Binational Agricultural Research and Development Fund, 2021. http://dx.doi.org/10.32747/2021.8134171.bard.

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Each year, significant global wheat yield loss occurs due to diseases that affect yield quantity or quality. Breeding for resistance has been the best economic and environmentally safe approach to control wheat diseases, however many disease resistance (R) genes succumbed to the pathogens and are no longer effective. Hence, new sources of resistance are necessary to boost the wheat gene pool. The main source for such genes are species of wheat wild relatives in the secondary gene pool that contain an unexploited reservoir of novel R genes. Sharon goatgrass (Aegilops sharonensis Eig) is a wild

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Feldman, Moshe, Eitan Millet, Calvin O. Qualset, and Patrick E. McGuire. Mapping and Tagging by DNA Markers of Wild Emmer Alleles that Improve Quantitative Traits in Common Wheat. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7573081.bard.

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The general goal was to identify, map, and tag, with DNA markers, segments of chromosomes of a wild species (wild emmer wheat, the progenitor of cultivated wheat) determining the number, chromosomal locations, interactions, and effects of genes that control quantitative traits when transferred to a cultivated plant (bread wheat). Slight modifications were introduced and not all objectives could be completed within the human and financial resources available, as noted with the specific objectives listed below: 1. To identify the genetic contribution of each of the available wild emmer chromosom

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Tzin, V., B. Dilkes, and H. Sela. Identifying molecular markers for defense metabolites against aphid feeding in wild emmer wheat. United States-Israel Binational Agricultural Research and Development Fund, 2021. http://dx.doi.org/10.32747/2021.8134174.bard.

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Bread wheat is the second most important food crop, providing calories to half of the world population and roughly one-fifth of the calories and protein consumed by people worldwide. Crop losses to insect pests depress yields and climate change is expected to significantly increase this problem. To combat global food insecurity, the protection of crops from insect pests must be prioritized. The Bird cherry-oat aphid, Rhopalosiphum padi, is the most abundant and economically important cereal pest, causes up to 40-60 % yield loss through direct feeding and vectoring plant diseases. The main goal

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Bonfil, David J., Daniel S. Long, and Yafit Cohen. Remote Sensing of Crop Physiological Parameters for Improved Nitrogen Management in Semi-Arid Wheat Production Systems. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7696531.bard.

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To reduce financial risk and N losses to the environment, fertilization methods are needed that improve NUE and increase the quality of wheat. In the literature, ample attention is given to grid-based and zone-based soil testing to determine the soil N available early in the growing season. Plus, information is available on in-season N topdressing applications as a means of improving GPC. However, the vast majority of research has focused on wheat that is grown under N limiting conditions in sub-humid regions and irrigated fields. Less attention has been given to wheat in dryland that is water

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Pullammanappallil, Pratap, Haim Kalman, and Jennifer Curtis. Investigation of particulate flow behavior in a continuous, high solids, leach-bed biogasification system. United States Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7600038.bard.

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Recent concerns regarding global warming and energy security have accelerated research and developmental efforts to produce biofuels from agricultural and forestry residues, and energy crops. Anaerobic digestion is a promising process for producing biogas-biofuel from biomass feedstocks. However, there is a need for new reactor designs and operating considerations to process fibrous biomass feedstocks. In this research project, the multiphase flow behavior of biomass particles was investigated. The objective was accomplished through both simulation and experimentation. The simulations included

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