Relevant bibliographies by topics / Corm yield

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Corm yield'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Corm yield"

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Paul, KK, MA Bari, and SC Debnath. "Correlation and path coefficient analysis in Giant Taro (Alocasia macrorrhiza L.)." Bangladesh Journal of Scientific and Industrial Research 50, no. 2 (2015): 117–22. http://dx.doi.org/10.3329/bjsir.v50i2.24352.

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Genotypic and phenotypic character associations as well as direct and indirect effects were estimated for eleven characters such as plant height, petiole length, petiole breadth, leaf area index, inflorescence length, spathe length, spathe breadth, corm length, corm breadth, corm weight and yield per plant, in giant taro (Alocasia macrorrhiza L). The results revealed that plant height, LAI, corm length, corm breadth, had positive correlation with yield per plant both at genotypic and phenotypic level. Relatively higher positive and direct effect was found through petiole length, LAI and corm l
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Busari, T. I., A. Senzanje, A. O. Odindo, and C. A. Buckley. "Evaluating the effect of irrigation water management techniques on (taro) madumbe (Colocasia esculenta (L.) Schott) grown with anaerobic filter (AF) effluent at Newlands, South Africa." Journal of Water Reuse and Desalination 9, no. 2 (2019): 203–12. http://dx.doi.org/10.2166/wrd.2019.058.

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Abstract This study evaluated the effects of irrigation water management techniques on the growth and yield parameters of madumbe (Colocasia esculenta) irrigated with anaerobic filter (AF) effluent. The irrigation water management treatments considered were alternate wetting and drying (AWD), continuous flooding irrigation (CFI) and wetting without flooding (WWF). It was hypothesized that irrigation techniques with anaerobic baffled reactor (ABR) effluent have a significant effect on the growth and yield of madumbe. The effects of the treatments were significant (P < 0.05) on the number
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Paul, KK, and MA Bari. "Correlation and path coefficient studies of Cocoyam (Xanthosoma sagittifolium L.)." Bangladesh Journal of Scientific and Industrial Research 50, no. 1 (2015): 47–52. http://dx.doi.org/10.3329/bjsir.v50i1.23809.

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Plant height, leaf length, leaf breadth, leaf number, leaf area index, corm length, corm breadth, corm weight, sucker number exhibited positive correlation with yield per plant in both genotypic and phenotypic level in cocoyam (Xanthosoma sagittifolium). Path coefficient analysis revealed that leaf length, leaf number, corm length exhibited direct influences to yield per plant. In genotypic level yield per plant showed the highest positive direct effect with corm length followed by cormel breadth, sucker number.Bangladesh J. Sci. Ind. Res. 50(1), 47-52, 2015
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Agrawal, Sarita, and Vijay Kumar. "Effect of size of corm on growth and yield of elephant foot yam." INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES 21, no. 1 (2025): 189–93. https://doi.org/10.15740/has/ijas/21.1/189-193.

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Elephant foot yam is commercially propagated by corm. In these paper reviews the research work on the effect of size of corm on growth and yield of elephant foot yam and concluded that the bigger size corm perform more plant growth and corm yield in all research.
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Asil, Hasan. "Effects of Chelated Iron (Eddha-Fe) Treatments on Corm And Stigma Quality in Saffron (Crocus Sativus L.)." Bangladesh Journal of Botany 52, no. 1 (2023): 97–103. http://dx.doi.org/10.3329/bjb.v52i1.65239.

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Effects of different doses of chelated iron (EDDHA-Fe) on the yield and quality of saffron leaf, corm and stigma were investivated. The highest weight of harvested corms was obtained when treated with 2 g of iron chelate per corm, 366.57 g, and the highest number of corm was obtained when treated with 4 g of iron chelate per corm, 73.00 g. When the effects of the iron chelate treatments on the quality of the stigma studied, it was found that the treatment with 2 g of iron chelate per corm gave a yield of dry stigma 754.00 mg and the highest average amount of safranal of 1386.50 mg/kg. The trea
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Musa, U. T., M. A. Musa, and Momohjimoh Yusuf. "Evaluation of Seven Taro Cultivars [Colocasia esculenta (L.) Schot] for Yield and Corm Quality under Poultry Manure Fertilization in Anyigba, Kogi State, Nigeria." Applied Research and Innovation 2, no. 1 (2024): 23–32. http://dx.doi.org/10.54536/ari.v2i1.2721.

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The study was conducted at the Prince Abubakar Audu University Research and Demonstration Farm, Anyigba, during the 2021 Cropping Season to evaluate seven taro cultivars for yield and corm quality under poultry manure fertilization. Treatments consist of 7 cultivars (1 local cultivar inclusive) combined factorially with two poultry manure levels (0 and 6 t/ha). A total of 14 treatments was obtained and laid in a Randomized Complete Block Design (RCBD) with three (3) replications giving a total of 42 plots. Results showed that all cultivars differed significantly (P<0.05) in yield and yielde
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David, Timon, J. Isaac S, Batta K, et al. "THE RESPONSE OF COCOYAM (Colocasia esculentus (L). Schott) TO MIXTURE OF ORGANIC AND INORGANIC FERTILIZERS IN MUBI, ADAMAWA STATE NIGERIA." GPH-International Journal of Agriculture and Research 04, no. 07 (2022): 01–14. https://doi.org/10.5281/zenodo.6860028.

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A field experiment was conducted at the Adamawa State University, Faculty of Agriculture Department of Crop Science Teaching and Research farm during the 2019 rainy season. To evaluate response of cocoyam (<em>Colocasia esculentus</em>(L). Schott) to mixture of organic and inorganic fertilizers, with the objective of selecting the best fertilizer mixture that can enhance the growth and yield of cocoyam. The experiments consisted of the following treatments T<sub>1 </sub>= 504 kg ha<sup>-1</sup> cow dung, T<sub>2</sub> = 227.65 kg ha<sup>-1</sup> poultry droppings, T<sub>3</sub> = 210.15 kg ha<
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Soedarjo, M., and P. Sasmita. "Influence of growth media and bulbil sizes on plant growth and corm yield of porang (Amorphophallus muelleri Blume)." IOP Conference Series: Earth and Environmental Science 911, no. 1 (2021): 012043. http://dx.doi.org/10.1088/1755-1315/911/1/012043.

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Abstract Porang (Amorphophallus muelleri Blume) is usually cultivated on the field under the tree as natural shading. Porang can also be grown on a pot containing limited amount of growth media. The present research work was carried to evaluate the minimum amount of growth media required for optimum growth and corm yield. The study used bulbils (10 g/bulbil and 20 g/bulbil) and corm (+ 15 g/corm) sown on growth media of 2.5 kg, 5.0 kg and 7.5 kg/pot as treatments. Each treatment was arranged in completely randomized design and was replicated 3 times. Plant height, plant diameter, shoot dry wei
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Pant, SS. "Effect of Different Doses of Nitrogen and Phosphorus on The Corm and Cormel Development of Gladiolus (Gladiolus sp.) cv. American Beauty." Journal of the Institute of Agriculture and Animal Science 26 (April 1, 2005): 153–57. http://dx.doi.org/10.3126/jiaas.v26i0.670.

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A study was conducted to evaluate the effect of different doses of nitrogen and phosphorus on the development of corm and cormel of gladiolus at the Horticulture Farm, IAAS, Rampur in 2002. Diameter, thickness and weight of the corms, and cormels were measured after 150 days of planting and the effect of nitrogen and phosphorous fertilizers was assessed. The nitrogen dose of 50 kg/ha produced the highest corm yield (17.71 g/plant), where as higher dose of nitrogen (100 and 150 kg/ha) fertilizer produced the lowest cormel yield. Variable doses of phosphorous did not produce any significant effe
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Paull, Robert E., Gail Uruu, and Alton Arakaki. "Variation in the Cooked and Chipping Quality of Taro." HortTechnology 10, no. 4 (2000): 823–29. http://dx.doi.org/10.21273/horttech.10.4.823.

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Taro [Colocasia esculenta (L.) Schott] corms from 57 vegetatively propagated cultivars were evaluated for yield, physical and chemical characteristics, and either microwaved, microwaved and ground into poi, or fried. Poi color ranged from purple to orange or yellow and the dry matter content from 18.3 to 48%. The taste panel preferred poi made from a number of other cultivars than that made from the most common cultivar `Lehua Maoli' used in Hawaii, and a darker bluish-red poi was preferred. Corm total soluble solids were positively correlated to corm specific gravity and dry matter, and to th
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Dissertations / Theses on the topic "Corm yield"

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Li, Meiling 1988. "Response of taro [Colocasia esculenta (L.) Schott] growth, yield, and corm quality to varying water regimes and soil textures /." Botucatu, 2019. http://hdl.handle.net/11449/180858.

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Orientador: Lin Chau Ming<br>Coorientador: Angélica Cristina Fernandes Deus<br>Banca: Dirceu Maximino Fernandes<br>Banca: João Carlos Cury Saad<br>Banca: Gabriela Granghelli Gonçalves<br>Banca: Laís Lorena Queiroz Moreira<br>Resumo: A irrigação é uma prática agrícola importante para o cultivo do inhame, entretanto, há poucos resultados experimentais focados no Brasil, e não há informações sobre a necessidade de água para essa cultura sob diferentes texturas de solo no estado de São Paulo. Objetivou-se com o presente trabalho avaliar o desenvolvimento, biomassa e qualidade dos tubérculos do inh
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Kgasago, Hans. "Effect of planting dates and densities on yield and yield components of short and ultra-short growth period of maize (Zea mays L.)." Pretoria : [s.n.], 2006. http://upetd.up.ac.za/thesis/available/etd-09202007-163045.

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Le, Roux Noelien. "Seasonal maize yield simulations for South Africa using a multi-model esemble system." Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-11302009-211655/.

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Ferguson, Christopher G. "Effect of Tassel Removal for Baby Corn (Zea mays L.) Production in Kentucky." TopSCHOLAR®, 2012. http://digitalcommons.wku.edu/theses/1157.

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Baby corn (Zea mays L.) consists of unfertilized young ears harvested at silkemergence. The 2011 study was a culmination of four successive years of productionand evaluation of baby corn at Western Kentucky University (36.93 N, 86.47 W). Theobjective was to compare the effect of tassel removal on baby corn (BC) production onfour cultivars of corn, two field (‘N77P-3000GT’, ‘N68B-3000GT’) and two sweet(‘Silver Queen’, ‘Peaches N Cream’). Results indicated that tassel removal gavesignificant increases (P<0.01) of BC ears across harvests (H) and cultivars; however, the effect was not consistent o
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Egeh, Mohamud H. "Modeling corn growth, development and yield under Québec conditions." Thesis, McGill University, 1998. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=21546.

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The use of crop growth simulation models such asthose incorporated into Decision Support Systems for Agrotechnology Transfer (DSSAT) are useful tools for assessing the impacts of various management practices on crop productivity. The maize growth model of DSSAT is CERES-maize. To evaluate its predictive capability under western Quebec conditions, data on corn (Zea mays L.) yield and above-ground biomass were collected from a field-scale water table management experiment conducted during the 1996 and 1997 growing seasons at St. Emmanuel, Soulanges County, Quebec. The model was calibrated using
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Mashego, Suzan. "Maize grain yield under conventional and site-specific nutrient management in a dryland farming system : Agronomic implications." Thesis, University of Limpopo (Turfloop campus), 2013. http://hdl.handle.net/10386/1120.

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Thesis (M.Sc. (Soil Science)) --University of Limpopo, 2013<br>Large amount of pre-plant nitrogen (N) fertilizer results in low nutrient-use-efficiency due to poor synchrony between soil N supply and maize demand, especially during N sensitive growth stages. Optimum maize production is dependent on adequate N availability to the crop during the critical vegetative and reproductive growth stages. High N fertilizer prices and maize yield decline are the main challenges faced by the Limpopo Province farmers. The objectives of this study were to compare growth and yield of maize under conventional
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Raymond, Fred Douglas. "Reducing Corn Yield Variability and Enhancing Yield Increases Through the Use of Corn-Specific Growth Models." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/36304.

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Crop simulation models (CSMs) are used to evaluate management and environmental scenarios on crop growth and yields. Two corn (Zea Mays L.) crop growth simulation models, Hybrid-Maize, and CERES-Maize were calibrated and validated under Virginia conditions with the goal of better understanding corn response to variable environmental conditions and decreasing temporal yield variation. Calibration data were generated from small plot studies conducted at five site-years. Main plots were plant density (4.9, 6.2, 7.4, and 8.6 plants m-2); subplots were hybrids of differing relative maturity (RM)
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Weill, Anne. "The effect of tillage reduction and fertilizer type on corn yield and soil properties /." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=75685.

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An experiment was undertaken to determine the effect of tillage and fertilizer on silage and grain corn production and on soil properties as well as to develop a crop yield model. Conventional, reduced, and zero tillage treatments in combination with inorganic or organic (cattle dairy manure) fertilizer treatments were applied yearly on a clay and a sandy loam soil from 1982 to 1986. The best yields were obtained for the combination of zero or reduced-till and inorganic fertilizers. Zero-till resulted in increased soil density and soil water content and a slight accumulation of P and K in the
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Modarres, Sanavy S. A. M. (Seyed Ali Mohammad). "Leafy reduced-stature maize (Zea mays L.) for mid- to short-season environments : yield, development, and physiological aspects of inbred lines and hybrids." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=39966.

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Maize production in short-season environments has at least two critical problems. Firstly, maize grown in short-season areas has lower leaf area indices (LAI) than maize grown in long season areas, due to shorter plant stature and less time for development, which results in reduced leaf number and size. Secondly, in very short-season areas the seasonal thermal-time available may be insufficient to mature grain of current maize hybrids. Therefore development of maize types that accumulate leaf area and mature quickly would increase production of maize in mid- to short-season areas. The leafy (L
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Wang, Zheng. "Effect of Different Schedules of Baby Corn (Zea Mays L.) Harvests on Baby Corn Yield, Grain Yield, and Economic Profit Value." TopSCHOLAR®, 2009. http://digitalcommons.wku.edu/theses/131.

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Maize (Zea mays L.) ranks third as a food crop after wheat and rice and is characterized not only as a cereal crop but also as a vegetable. Maize used as a vegetable is known as “baby corn”. Baby corn consists of unfertilized young ears harvested 2 or 3 days after silk emergence. The present study was implemented in 2009 at Western Kentucky University Agriculture Research and Education Center (36.93 N, 86.47 E) in Bowling Green, Kentucky. The purpose of the study was to compare the effect of different schemes of harvest on baby corn (BC) yield, grain maize (GM) yield, and estimated economic re
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Books on the topic "Corm yield"

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Danforth, Arn T. Corn crop production: Growth, fertilization and yield. Nova Science Publishers, 2009.

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Danforth, Arn T. Corn crop production growth, fertilization and yield. Nova Science Publishers, 2009.

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United States. Agricultural Statistics Board, ed. 2003 corn objective yield survey: Interviewer's manual. U.S. Dept. of Agriculture, National Agricultural Statistics Service, Agricultural Statistics Board, 2003.

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Danforth, Arn T. Corn crop production: Growth, fertilization and yield. Nova Science Publishers, 2009.

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A, Howard Julie, and Mozambique. Direcção Nacional de Economia Agrária., eds. Comparing yields and profitability in MADER's high- and low-input maize programs: 1997/98 survey results and analysis. Ministry of Agriculture and Rural Development, Directorate of Economics, 2000.

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United States. Agricultural Statistics Board., ed. 1995 corn objective yield survey: Interviewer's manual. U.S. Dept. of Agriculture, National Agricultural Statistics Service, Agricultural Statistics Board, 1995.

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Benson, Todd David. The 1995/96 fertilizer verification trial--Malawi: Hybrid maize yields by treatment, national report. The Ministry, 1997.

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Carter, Paul R. Uneven emergence in corn. University of Illinois at Urbana-Champaign, Cooperative Extension Service for North Central Regional Extension Service, 1990.

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Teigen, Lloyd D. Weather and yield, 1950-94: Relationships, distributions, and data. Economic Research Service, Commercial Agriculture Division, 1995.

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United States. Agricultural Statistics Board., ed. 1999 corn [i.e. cotton] objective yield survey: Interviewer's manual. U.S. Dept. of Agriculture, National Agricultural Statistics Service, Agricultural Statistics Board, 1999.

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Book chapters on the topic "Corm yield"

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Bashford, L. L., S. Al-Hamed, M. Schroeder, and M. Ismail. "Mapping Corn And Soybean Yields Using A Yield Monitor And GPS." In Site-Specific Management for Agricultural Systems. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1995.site-specificmanagement.c51.

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Colville, W. L. "Environment and Maximum Yield of Corn." In ASA Special Publications. American Society of Agronomy, 2015. http://dx.doi.org/10.2134/asaspecpub9.c2.

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Campbell, Ron. "Yield Mapping of Wheat and Corn Using a Continuous, On-Combine Yield Monitor." In Site-Specific Management for Agricultural Systems. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1995.site-specificmanagement.c8.

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Vijaya Saraswathi, R., Sravani Nalluri, Somula Ramasubbareddy, K. Govinda, and E. Swetha. "Brilliant Corp Yield Prediction Utilizing Internet of Things." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1097-7_75.

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Duncan, W. G. "Corn Yields to Meet the Challenge." In ASA Special Publications. American Society of Agronomy, 2015. http://dx.doi.org/10.2134/asaspecpub9.c4.

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Sarobol, E., and I. C. Anderson. "Improving yield of corn—soybean rotation: role of allelopathy." In Allelopathy. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2376-1_7.

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Khademi, Z., M. R. Balali, and M. J. Malakouti. "Corn yield and potassium accumulation related to potassium fertilizer rates." In Plant Nutrition. Springer Netherlands, 2001. http://dx.doi.org/10.1007/0-306-47624-x_401.

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Moswa, Audrey B., Patrick Killeen, Iluju Kiringa, and Tet Yeap. "Corn Yield Prediction Using Crop Growth and Machine Learning Models." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1203-2_28.

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Kralj, Ivan, Mario Kusek, and Gordan Jezic. "Linear Machine Learning Algorithm for Early Annual Corn Yield Prediction." In Agents and Multi-agent Systems: Technologies and Applications 2023. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3068-5_6.

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Awasthi, Purnima, Sumita Mishra, and Nishu Gupta. "Performance Assessment of Machine Learning Techniques for Corn Yield Prediction." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28183-9_23.

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Conference papers on the topic "Corm yield"

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S, Iniyan, Pidikiti Keerthi, and Shruti Pawar. "Corn Crop Yield Prediction using Deep Learning." In 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS). IEEE, 2024. https://doi.org/10.1109/icacrs62842.2024.10841731.

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Mears, Robbie, Kerrianne Harrington, William J. Wadsworth, Jonathan C. Knight, James M. Stone, and Tim A. Birks. "Low loss multi-core anti-resonant hollow core fibre." In Frontiers in Optics. Optica Publishing Group, 2024. https://doi.org/10.1364/fio.2024.fth3b.5.

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We report a three-core hollow core optical fibre, with low loss guidance at visible and near-infrared wavelengths. Coupling between cores is very weak, while the breaking of rotational symmetry yields fabrication insights.
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Harrington, K., R. Mears, J. M. Stone, W. J. Wadsworth, J. C. Knight, and T. A. Birks. "Multi-mode Deep Ultraviolet Hollow Core Fibre." In Specialty Optical Fibers. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/sof.2024.som3f.1.

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Tian, Tian, Danny Chen, Wenzhong Yang, and Zhifeng Lu. "TRS-CatBoost: An Interpretable Corn Yield Prediction Model Based on an Integrated Learning Approach." In 2025 5th International Conference on Sensors and Information Technology (ICSI). IEEE, 2025. https://doi.org/10.1109/icsi64877.2025.11009789.

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Panfilova, A. V. "INFLUENCE OF BIOPRODUCTS ON THE YIELD OF CORN HYBRIDS." In FOOD SECURITY OF UKRAINE IN THE CONDITIONS OF POST-WAR RECOVERY: GLOBAL AND NATIONAL DIMENSIONS. MYKOLAIV NATIONAL AGRARIAN UNIVERSITY, 2025. https://doi.org/10.31521/978-617-7149-86-5-46.

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In the conditions of the Southern Steppe of Ukraine, the yield of corn grain depends on the weather conditions of the year of the study, as well as variants of the experiment. Thus, in the more favorable weather conditions in 2023, the yield of corn, on average, according to the experiment, was 8.3 t/ha, which exceeded the indicators of adverse, sharply drying 2024 by 1.4 t/ha or by 16.9%. Biological products were important in the formation of corn grain yields, regardless of the year. With pre-sowing seed treatment with a biological products organic-balance and carrying out twice for the grow
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Ottavi, Marco, Xiaopeng Wang, Fred J. Meyer, and Fabrizio Lombardi. "Simulation of reconfigurable memory core yield." In Proceedins of the 14th ACM Great Lakes symposium. ACM Press, 2004. http://dx.doi.org/10.1145/988952.988986.

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Elmore, Roger. "Can We Sustain Corn Yield Trends?" In Proceedings of the 16th Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 2006. http://dx.doi.org/10.31274/icm-180809-837.

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Ziegler, Kenneth E. "The Iowa State Corn Yield Test." In Proceedings of the 1992 Crop Production and Protection Conference. Iowa State University, Digital Press, 1993. http://dx.doi.org/10.31274/icm-180809-425.

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Ziegler, Kenneth E. "The Iowa State Corn Yield Test." In Proceedings of the 1992 Crop Production and Protection Conference. Iowa State University, Digital Press, 1995. http://dx.doi.org/10.31274/icm-180809-489.

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Klocke, N. L., and R. S. Currie. "Corn Yield Response to Deficit Irrigation." In World Environmental and Water Resources Congress 2011. American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41173(414)283.

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Reports on the topic "Corm yield"

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Beckman, Jayson, Maros Ivanic, and Noé J. Nava. Estimating market implications from corn and soybean yields under climate change in the United States. Economic Research Service, U.S. Department of Agriculture, 2023. http://dx.doi.org/10.32747/2023.8134358.ers.

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The United States is one of the largest producers and exporters of corn and soybeans globally partly because of yields that are among the highest in the world. However, a changing climate could affect these yields, which could ultimately affect production and the availability of products for export. In this report, the authors estimate that U.S. corn yields could increase 3.1 percent and soybean yields could decrease 3.0 percent in 2036 relative to 2016, based on climate projections. These results are driven primarily by the increased frequency of periods of extreme heat and declines in precip
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Cavigelli, Michel. Mid-Atlantic Corn and Soybean Yields Show Great Variability in Response to Precipitation during Critical Growth Stages. USDA Northeast Climate Hub, 2018. http://dx.doi.org/10.32747/2018.6892663.ch.

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The mid-Atlantic coastal plain, where the FSP&#x0D; is located, has higher than average variability&#x0D; in corn and soybean yields compared to the&#x0D; most productive agricultural regions in the US.&#x0D; Precipitation is the primary driver of crop yield&#x0D; variability in this region and drought is often&#x0D; responsible for low yields.
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Thoreson, Dale, and Brian Lang. 2008 Iowa Corn Silage Yield Trial. Iowa State University, 2009. http://dx.doi.org/10.31274/ans_air-180814-700.

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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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Abstract:
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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Van Dee, Kevin. Corn Yield Effects in a Corn-Soybean Strip Cropping System. Iowa State University, Digital Repository, 2005. http://dx.doi.org/10.31274/farmprogressreports-180814-1029.

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Mallarino, Antonio, Joshua Enderson, Ryan Oltmans, Mazhar Haq, and Josh Sievers. Corn and Soybean Yield Response to Micronutrients. Iowa State University, Digital Repository, 2015. http://dx.doi.org/10.31274/farmprogressreports-180814-1761.

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Rusk, Ryan, and Joshua L. Sievers. Yield Response of Planting Corn in Early April. Iowa State University, Digital Repository, 2012. http://dx.doi.org/10.31274/farmprogressreports-180814-1061.

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Sutch, Richard. Henry Agard Wallace, the Iowa Corn Yield Tests, and the Adoption of Hybrid Corn. National Bureau of Economic Research, 2008. http://dx.doi.org/10.3386/w14141.

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Al-Kaisi, Mahdi. Corn Residue Removal Effects on Grain Yield and Soil Quality. Iowa State University, Digital Repository, 2009. http://dx.doi.org/10.31274/farmprogressreports-180814-1001.

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Mallarino, Antonio, Mazhar Haq, Joshua Enderson, Ryan Oltmans, and Micah Smidt. Corn and Soybean Yield Response to Micronutrients in Northern Iowa. Iowa State University, Digital Repository, 2015. http://dx.doi.org/10.31274/farmprogressreports-180814-1138.

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