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Artykuły w czasopismach na temat "Maize yield"
Yustisia, Yustisia, NP Sri Ratmini, J. Amirrullah, Y. Juwita, YPAP Hutabarat i Atekan Atekan. "Yield Components and Efficiency Index of Maize Yield: Relationship to Yields in Tidal Fields". Jurnal Lahan Suboptimal : Journal of Suboptimal Lands 10, nr 2 (1.10.2021): 140–49. http://dx.doi.org/10.36706/jlso.10.2.2021.522.
Pełny tekst źródłaPu, Luoman, Shuwen Zhang, Jiuchun Yang, Liping Chang i Shuting Bai. "Spatio-Temporal Dynamics of Maize Potential Yield and Yield Gaps in Northeast China from 1990 to 2015". International Journal of Environmental Research and Public Health 16, nr 7 (4.04.2019): 1211. http://dx.doi.org/10.3390/ijerph16071211.
Pełny tekst źródłaHmielowski, Tracy. "Maize Yield Potential". CSA News 63, nr 3 (marzec 2018): 8–9. http://dx.doi.org/10.2134/csa2018.63.0310.
Pełny tekst źródłaTefera, Merga, Zhang Weifang, Shuaixiang Zhao i Zhiping Duan. "Enhancing maize yield in Ethiopia a meta-analysis". International Journal of Agricultural Science and Food Technology 8, nr 3 (12.07.2022): 193–201. http://dx.doi.org/10.17352/2455-815x.000163.
Pełny tekst źródłaSu, Peng, Shiqi Li, Jing’ai Wang i Fenggui Liu. "Vulnerability Assessment of Maize Yield Affected by Precipitation Fluctuations: A Northeastern United States Case Study". Land 10, nr 11 (5.11.2021): 1190. http://dx.doi.org/10.3390/land10111190.
Pełny tekst źródłaMusokwa, Misheck, i Paramu L. Mafongoya. "Effects of improved pigeonpea fallows on biological and physical soil properties and their relationship with maize yield". Agroforestry Systems 95, nr 2 (26.01.2021): 443–57. http://dx.doi.org/10.1007/s10457-021-00598-7.
Pełny tekst źródłaNguyen, Huyen Khon, Le Thanh Hai, Tung Van Tra, Nguyen Viet Thang, Tran Thi Hieu, Thu Hong Anh Nguyen, Dong Thi Thu Huyen i Nguyen Thi Phuong Thao. "Study on the use of sludge farming of catfish as organic fertilizer and evaluate its effectiveness in agriculture". Science & Technology Development Journal - Science of The Earth & Environment 4, nr 1 (5.04.2020): First. http://dx.doi.org/10.32508/stdjsee.v4i1.502.
Pełny tekst źródłaJamriška, P. "The effect of undersowing time of clover crops and weeds on silage maize yields". Plant, Soil and Environment 48, No. 8 (21.12.2011): 361–67. http://dx.doi.org/10.17221/4381-pse.
Pełny tekst źródłaKvaternjak, Ivka, Ivica Kisić, Marta Birkás, Andrija Špoljar i Dejan Marenčić. "Yields and Yield Components of Maize (Zea Mays L.) and Soybean (Glycine Max) as Affected by Different Tillage Methods". Ekológia (Bratislava) 34, nr 4 (1.12.2015): 371–79. http://dx.doi.org/10.1515/eko-2015-0033.
Pełny tekst źródłaOfori, Francis, i W. R. Stern. "Relative Sowing Time and Density of Component Crops in a Maize/Cowpea Intercrop System". Experimental Agriculture 23, nr 1 (styczeń 1987): 41–52. http://dx.doi.org/10.1017/s0014479700001113.
Pełny tekst źródłaRozprawy doktorskie na temat "Maize yield"
Njoroge, Kiarie. "Earliness and yield in Katumani maize". Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305695.
Pełny tekst źródłaGrifo, Anabela Dias Ramalho Vale Leitão. "Inputs and yield optimization on irrigated maize". Doctoral thesis, Universidade de Évora, 2016. http://hdl.handle.net/10174/18319.
Pełny tekst źródłaRaymond, 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.
Pełny tekst źródłaMaster of Science
Gonçalves, Júlia Alves Roque. "Yield gap explaining factors and solutions to improve yields in a maize farm in Portugal". Master's thesis, ISA, 2019. http://hdl.handle.net/10400.5/21289.
Pełny tekst źródłaOver the decades, it has been found that agricultural intensification, that is, the increase in production per hectare, is substantially urgent and necessary, justified by the observed and expected population increase and the impossibility of agricultural expansion. One of the methods for achieving this goal is the study and investigation of yield gaps, which may be explained by unfavorable soil and climate conditions, or less adequate input management. Given the socio-economic importance of maize crop in Portugal and the need for case studies that exemplify agricultural intensification methods, this dissertation aims to discover which are the reducing factors that justify the gap between the maximum and actual yields, known as yield gaps, which were analyzed between plots and years, and how large was the yield gap over the 10 years. Through a database of irrigation appropriations, nitrogen applications, sowing dates and climate data, collected over 10 years and provided by Milho Amarelo company, located in the Santarem region, other variables were calculated, such as degree-day accumulation, cultural evapotranspiration and intercepted radiation. These data were analyzed annually according to the whole cycle and according to different phenological phases (vegetative and reproductive). Once all variables were obtained and organized, statistical methods of bivariate and multivariate analysis were performed. The magnitude of yield gap was calculated according to the Approach 2 indicated by FAO 41. The results show that interaction of sowing dates with climatic conditions are in the nature of this deviation, with gap’s magnitude ranging from 5% to 20%, depending on the climatic conditions of the year
N/A
Martinez, Ascanio Ana Karine <1979>. "Fine Mapping of qroot-yield-1.06, a QTL for Root, Plant Vigor and Yield in Maize". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/7160/.
Pełny tekst źródłaFall, Sidi 1951. "Induced water stress effects on grain yield and yield components of twelve maize (Zea mays L.) genotypes". Thesis, The University of Arizona, 1991. http://hdl.handle.net/10150/277913.
Pełny tekst źródłaEsteves, Mariana Canavarro Reis Teixeira. "Precision agriculture : a spatial econometric analysis of a portuguese maize yield". Master's thesis, Instituto Superior de Economia e Gestão, 2021. http://hdl.handle.net/10400.5/22844.
Pełny tekst źródłaNowadays, maize is the most important cereal in the world and its production has been increasing both worldwide and in Portugal, over the years. The constant technological development has led to the creation of new techniques such as precision agriculture, to better meet the global needs of this primordial cereal as well as optimize its production. This research was developed jointly with the firm Agro Analítica from the agriculture sector, whose area of expertise is Precision Agriculture and System Optimization. In this manner, the present work aims to estimate a function for the maize yield identifying the relevant determining factors, and their effect, on maize productivity on an exploitation of a firm in Azinhaga, Golegã, district of Santarém, Portugal for the year 2020. Using appropriate software, this dissertation applies the most recent spatial econometric methods to cross-sectional data, in order to properly include spatial dependence in the estimation. Thus, the appropriate models were estimated: Spatial Lag Model (SLM), Spatial Error Model (SEM) and SARAR(1,1) Model, whose use was recommended by the diagnosis to OLS (Ordinary Least Square) residuals. The elected model was the SARAR(1,1), capturing the spatial dependence and heteroscedasticity in the data, with an accuracy of approximately 90%. In this framework, it was concluded that maize yield, in the year and area under study, is positively influenced by factors such as the sowing density, applied sulfur trioxide (SO3) and a specific variety of seed. Regarding the fertilization, nitrogen and potassium, and irrigation of the crop, presented a non-linear (quadratic) relationship with the maize yield. Also influencing the yield, there are weather-related variables measured by stage of the maize life cycle, that prove to be significant at explaining the variable under study such as the relative humidity, the temperature, and the wind velocity.
Atualmente, o milho é o cereal mais importante do mundo tendo a sua produção vindo a aumentar tanto a nível mundial como em Portugal ao longo dos anos. O constante desenvolvimento tecnológico resultou na criação de novas técnicas, como a agricultura de precisão, para melhor satisfazer as necessidades globais deste cereal primordial bem como otimizar a sua produção. Esta investigação foi desenvolvida em conjunto com a empresa Agro Analítica do sector da agricultura, cuja área de especialização é Agricultura de Precisão e Otimização de Sistemas. Desta forma, o presente trabalho visa estimar uma função que explique a produtividade do milho identificando os fatores, e o seu efeito na produtividade do milho, numa exploração da empresa em Azinhaga, Golegã, distrito de Santarém, Portugal, para o ano 2020. Utilizando o software apropriado, esta dissertação aplica os mais recentes métodos e ferramentas econométricas espaciais para dados cross-section (dados transversais), de modo a incluir devidamente a dependência espacial na estimação. Assim, foram estimados os modelos apropriados: Modelo Spatial Lag (SLM), Modelo Spatial Error (SEM) e Modelo SARAR(1,1) (Kelejian & Prucha, 2010), cuja utilização foi recomendada pelo diagnóstico aos reísduos OLS (Ordinary Least Square). O modelo escolhido foi o SARAR(1,1), captando a dependência espacial e heterocedasticidade presente nos dados. Desta forma, concluiu-se que a produtividade do milho, no ano e na área em estudo, encontra-se positivamente influenciado por fatores como a densidade de sementeira, o trióxido de enxofre aplicado (SO3) e uma variedade específica de sementes. Quanto à fertilização, com azoto e potássio, e quanto à irrigação da cultura, estes fatores apresentaram uma relação não linear (quadrática) com a produtividade do milho. Também influenciando a produtividade, existem variáveis relacionadas com o clima, medidas pela fase do ciclo de vida do milho, que provaram ser significativas para explicar a variável em estudo, tal como a humidade relativa, a temperatura e a velocidade do vento.
info:eu-repo/semantics/publishedVersion
Obopile, Motshwari. "INTERACTIONS AMONG MAIZE PHENOLOGIES, TRANSGENIC BACILLUS THURINGIENSIS MAIZE AND SEED TREATMENT FOR MANAGEMENT OF PESTS AND DISEASES OF MAIZE". The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1243020914.
Pełny tekst źródłaShah, Syed Jafar. "Preference of lactating dairy cows for grass or maize silages". Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367569.
Pełny tekst źródłaOgola, J. B. Ochanda. "Improving water use efficiency of maize through proper nitrogen management". Thesis, University of Reading, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340024.
Pełny tekst źródłaKsiążki na temat "Maize yield"
Hossain, Mohammad Anwar, Mobashwer Alam, Saman Seneweera, Sujay Rakshit i Robert Henry, red. Molecular breeding in wheat, maize and sorghum: strategies for improving abiotic stress tolerance and yield. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245431.0000.
Pełny tekst źródłaLarrabee, James. NOAA-AISC user's guide for implementing CERES-maize model for large area yield estimation: Yield model development. [Washington, D.C.]: U.S. Dept. of Agriculture, 1985.
Znajdź pełny tekst źródłaSubedi, K. Assessment of the major yield limiting constraints of maize production at Lumle condition.. Pokhara: Lumle Regional Agricultural Research Centre, 1994.
Znajdź pełny tekst źródłaGollin, Douglas. Impacts of international research on intertemporal yield stability in wheat and maize: An economic assessment. Mexico, D.F: CIMMYT, 2006.
Znajdź pełny tekst źródłaBourke, Michael J. Evaluation of the Feeding Value of Maize Silage and Grass Silage for Dairy Cows. Dublin: University College Dublin, 1998.
Znajdź pełny tekst źródłaFitzsimmons, R. W. Summer crop production statistics NSW 1922-1989: Maize, sorghum, rice, lucerne : area production and yield NSW by local government areas. Wahroonga, N.S.W: Australian Institute of Agricultural Science, 1991.
Znajdź pełny tekst źródłaVaidya, A. K. Yield estimation and production systems analysis of summer maize with reference to adoption and farm management issues in the Extension Command Area (1992-1993).. Pokhara: Lumle Regional Agricultural Research Centre, 1996.
Znajdź pełny tekst źródłaOlogunde, O. O. Two decades of agronomic research on yield improvement of sole crop maize (Zea mays L.) in the Savanna ecological zone of nothern Nigeria: A review. Zaria, Nigeria: Institute for Agricultural Research, Samaru, Ahmadu Bello University, 1987.
Znajdź pełny tekst źródłaBenson, Todd David. The 1995/96 fertilizer verification trial--Malawi: Hybrid maize yields by treatment, national report. [Lilongwe]: The Ministry, 1997.
Znajdź pełny tekst źródłaImproved inputs use and productivity in Uganda's maize sub-sector. Kampala, Uganda: Economic Policy Research Centre, 2010.
Znajdź pełny tekst źródłaCzęści książek na temat "Maize yield"
Tollenaar, M., i L. M. Dwyer. "Physiology of Maize". W Crop Yield, 169–204. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58554-8_5.
Pełny tekst źródłaSmith, Stephen, Mark Cooper, Joseph Gogerty, Carlos Löffler, Delos Borcherding i Kevin Wright. "Maize". W Yield Gains in Major U.S. Field Crops, 125–71. Madison, WI, USA: American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2135/cssaspecpub33.c6.
Pełny tekst źródłaHolland, James B. "Increasing Yield". W Handbook of Maize: Its Biology, 469–82. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-79418-1_24.
Pełny tekst źródłaWestgate, Mark E. "Seed Formation in Maize during Drought". W Physiology and Determination of Crop Yield, 361–64. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1994.physiologyanddetermination.c24.
Pełny tekst źródłaZhang, Mei-ping, Yun-Hua Liu i Hong-Bin Zhang. "Molecular breeding for improving yield in maize: recent advances and future perspectives." W Molecular breeding in wheat, maize and sorghum: strategies for improving abiotic stress tolerance and yield, 380–404. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245431.0022.
Pełny tekst źródłaKuria, Peter, Josiah Gitari, Saidi Mkomwa i Peter Waweru. "Effect of conservation agriculture on soil properties and maize grain yield in the semi-arid Laikipia county, Kenya." W Conservation agriculture in Africa: climate smart agricultural development, 256–69. Wallingford: CABI, 2022. http://dx.doi.org/10.1079/9781789245745.0015.
Pełny tekst źródłaTollenaar, M., i E. A. Lee. "Strategies for Enhancing Grain Yield in Maize". W Plant Breeding Reviews, 37–82. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470880579.ch2.
Pełny tekst źródłaCao, Yi-bo, Yi-qiao Wang i Cai-fu Jiang. "Recent advancement of molecular understanding for combating salinity stress in maize." W Molecular breeding in wheat, maize and sorghum: strategies for improving abiotic stress tolerance and yield, 247–66. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245431.0014.
Pełny tekst źródłaKawaye, Floney P., i Michael F. Hutchinson. "Maize, Cassava, and Sweet Potato Yield on Monthly Climate in Malawi". W African Handbook of Climate Change Adaptation, 617–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_120.
Pełny tekst źródłaNair, Sudha K., Pervez Haider Zaidi, Madhumal Thayil Vinayan i Gajanan Saykhedkar. "Physiological and molecular mechanisms underlying excess moisture stress tolerance in maize: molecular breeding opportunities to increase yield potential." W Molecular breeding in wheat, maize and sorghum: strategies for improving abiotic stress tolerance and yield, 295–317. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245431.0017.
Pełny tekst źródłaStreszczenia konferencji na temat "Maize yield"
Simić, Milena, Vesna Dragičević, Milan Brankov, Miodrag Tolimir i Života Jovanović. "KOMBINOVANA PRIMENA PLODOREDA I HERBICIDA ZA UNAPREĐENJE SUZBIJANJA KOROVA U KUKURUZU". W XXVII savetovanje o biotehnologiji. University of Kragujevac, Faculty of Agronomy, 2022. http://dx.doi.org/10.46793/sbt27.059s.
Pełny tekst źródłaMadic, Milomirka, Dalibor Tomic, Aleksandar Paunovic, Vladeta Stevovic i Dragan Đurovic. "PRINOS ZRNA HIBRIDA KUKURUZA RAZLIČITIH FAO GRUPA ZRENJA". W SAVETOVANJE o biotehnologiji sa međunarodnim učešćem. University of Kragujeva, Faculty of Agronomy, 2021. http://dx.doi.org/10.46793/sbt26.093m.
Pełny tekst źródłaSoria-Ruiz, Jesus, i Yolanda M. Fernandez-Ordonez. "Methodology to generate yield maps of maize crops". W IGARSS 2010 - 2010 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2010. http://dx.doi.org/10.1109/igarss.2010.5651696.
Pełny tekst źródłaClaudio G. Gallárreta, Reimar Carlesso, Genesio M. Rosa, Mirta T. Petry i Geanne L. Melo. "WATER DEFICIT EFFECTS ON MAIZE YIELD IN SOUTHERN BRAZIL". W 2002 Chicago, IL July 28-31, 2002. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2002. http://dx.doi.org/10.13031/2013.10423.
Pełny tekst źródłaJi, Yu, Liying Cao, Yuqi Wang i Guifen Chen. "Application of Combined Grey Model in Maize Yield Prediction". W 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/emcs-17.2017.227.
Pełny tekst źródłaDongjie, Wang, Li Zhemin, Wang Shengwei, Zhang Yongen i Xu Shiwei. "Exploring the relationship between maize yield and climate big data on maize belt of northeast China". W 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA). IEEE, 2017. http://dx.doi.org/10.1109/icbda.2017.8078686.
Pełny tekst źródłaJin, Huaan, Jindi Wang, Yanchen Bo, Guifen Chen i Huazhu Xue. "Data assimilation of MODIS and TM observations into CERES-Maize model to estimate regional maize yield". W SPIE Optical Engineering + Applications, redaktorzy Wei Gao, Thomas J. Jackson i Jinnian Wang. SPIE, 2010. http://dx.doi.org/10.1117/12.860315.
Pełny tekst źródłaKiryachek, S. A., T. R. Toloraya i M. V. Marchenko. "Yields of maize of different maturity groups depending on the planting dates and plant density in the northern zone of the Krasnodar Territory". W 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/10.33952/2542-0720-2020-5-9-10-26.
Pełny tekst źródłaSereda, I. I., i O. V. Tutubalina. "Application of SAFY Crop Growth Model for Maize Yield Forecast". W 16th All-Russia Open Conference on Current Problems in Remote Sensing of the Earth from Space. Space Research Institute of the Russian Academy of Sciences, 2019. http://dx.doi.org/10.21046/rorse2018.48.
Pełny tekst źródłaFernandez-Ordonez, Yolanda M., i J. Soria-Ruiz. "Maize crop yield estimation with remote sensing and empirical models". W 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127638.
Pełny tekst źródłaRaporty organizacyjne na temat "Maize yield"
Research Institute (IFPRI), International Food Policy. Maize yield potential. Washington, DC: International Food Policy Research Institute, 2014. http://dx.doi.org/10.2499/9780896298460_25.
Pełny tekst źródłaUlimwengu, John M., i Aziza Kibonge. Fertilizer Application and Maize Yield: A Spatial Econometric Approach. AKADEMIYA2063, lipiec 2022. http://dx.doi.org/10.54067/awps.004.
Pełny tekst źródłaAmzeri, Achmad, B. S. DARYONO i M. SYAFII. GENOTYPE BY ENVIRONMENT AND STABILITY ANALYSES OF DRYLAND MAIZE HYBRIDS. SABRAO Journal of Breeding and Genetics, wrzesień 2020. http://dx.doi.org/10.21107/amzeri.2020.2.
Pełny tekst źródłaJander, Georg, i Daniel Chamovitz. Investigation of growth regulation by maize benzoxazinoid breakdown products. United States Department of Agriculture, styczeń 2015. http://dx.doi.org/10.32747/2015.7600031.bard.
Pełny tekst źródłaTadmor, Yaakov, Zachary Lippman, David Jackson i Dani Zamir. three crops test for the ODO breeding method. United States Department of Agriculture, listopad 2013. http://dx.doi.org/10.32747/2013.7594397.bard.
Pełny tekst źródłaSmith, Margaret, Nurit Katzir, Susan McCouch i Yaakov Tadmor. Discovery and Transfer of Genes from Wild Zea Germplasm to Improve Grain Oil and Protein Composition of Temperate Maize. United States Department of Agriculture, 1998. http://dx.doi.org/10.32747/1998.7580683.bard.
Pełny tekst źródłaSmith, Margaret, Nurit Katzir, Susan McCouch i Yaakov Tadmor. Discovery and Transfer of Genes from Wild Zea Germplasm to Improve Grain Oil and Protein Composition of Temperate Maize. United States Department of Agriculture, październik 2002. http://dx.doi.org/10.32747/2002.7695846.bard.
Pełny tekst źródłaHarman, Gary E., i Ilan Chet. Enhancement of plant disease resistance and productivity through use of root symbiotic fungi. United States Department of Agriculture, lipiec 2008. http://dx.doi.org/10.32747/2008.7695588.bard.
Pełny tekst źródłaEshed, Yuval, i Sarah Hake. Shaping plant architecture by age dependent programs: implications for food, feed and biofuel. United States Department of Agriculture, grudzień 2012. http://dx.doi.org/10.32747/2012.7597922.bard.
Pełny tekst źródłaResearch Institute (IFPRI), International Food Policy. Effects of Rainfall Variability on Maize Yields. Washington, DC: International Food Policy Research Institute, 2014. http://dx.doi.org/10.2499/9780896298460_19.
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