Wheat grain yield and nitrogen uptake prediction using atLeaf and GreenSeeker portable optical sensors at jointing growth stage
Tài liệu tham khảo
Heffer, 2017
Ali, 2017, Soil-based technique for managing nitrogen fertilization in wheat in some desert soils at west Nile Delta, Egypt. Alexandria Sci Exch J, 38, 699, 10.21608/asejaiqjsae.2017.4144
Bijay-Singh, 2003, 463
Fageria, 2005, Enhancing nitrogen use efficiency in crop plants, Adv Agron, 88, 97, 10.1016/S0065-2113(05)88004-6
Diacono, 2013, Precision nitrogen management of wheat. A review, Agron Sustain Dev, 33, 219, 10.1007/s13593-012-0111-z
Stanford, 1973, Rationale for optimum nitrogen fertilization in corn production, J Environ Qual, 2, 159, 10.2134/jeq1973.00472425000200020001x
Johnson, 1991, General model for predicting crop response to fertilizer, Agron J, 83, 367, 10.2134/agronj1991.00021962008300020021x
Dahnke, 1984, Choosing a crop yield goal, Better Crops with Plant Food (USA)
Tucker, 1979, Red and photographic infrared linear combinations for monitoring vegetation, Remote Sens Environ, 8, 127, 10.1016/0034-4257(79)90013-0
Reeves, 1993, Determination of wheat nitrogen status with a hand-held chlorophyll meter: Influence of management practices, J Plant Nutr, 16, 781, 10.1080/01904169309364574
Stone, 1996, Use of spectral radiance for correcting in-season fertilizer nitrogen deficiencies in winter wheat, Trans ASAE, 39, 1623, 10.13031/2013.27678
Stone ML, Solie JB, Whitney RW, Raun WR, Lees HL. Sensors for the detection of nitrogen in winter wheat. Tech. Paper Series No. 961757. SAE, Warrendale, PA, 1996.
Solie, 1996, Optical sensor based field element size and sensing strategy for nitrogen application, T ASAE, 39, 1983, 10.13031/2013.27700
Raun, 2001, In-season prediction of potential grain yield in winter wheat using canopy reflectance, Agron J, 93, 131, 10.2134/agronj2001.931131x
Raun, 2002, Improving nitrogen use efficiency in cereal grain production with optical sensing and variable rate application, Agron J, 94, 815, 10.2134/agronj2002.8150
Bijay-Singh, 2011, Assessment of the nitrogen management strategy using an optical sensor for irrigated wheat, Agron Sustain Dev, 31, 589, 10.1007/s13593-011-0005-5
Bijay-Singh, 2017, Site-specific fertilizer nitrogen management using optical sensor in irrigated wheat in the north-western India, Agric Res, 6, 159, 10.1007/s40003-017-0251-0
Bijay-Singh, 2015, Site-specific nitrogen management in irrigated transplanted rice (Oryza sativa) using an optical sensor, Precis Agric, 16, 455, 10.1007/s11119-015-9389-6
Li, 2009, In-season optical sensing improves nitrogen-use efficiency for winter wheat, Soil Sci Soc Am J, 73, 1566, 10.2136/sssaj2008.0150
Franzen, 2016, Algorithms for in-season nutrient management in cereals, Agron J, 108, 1775, 10.2134/agronj2016.01.0041
Arnall, 2016, Development of an NDVI-based nitrogen rate calculator for cotton, Crop Sci, 56, 3263, 10.2135/cropsci2016.01.0049
Tubaña, 2008, Adjusting midseason nitrogen rate using a sensor-based optimization algorithm to increase use efficiency in corn, J Plant Nutr, 31, 1393, 10.1080/01904160802208261
Schepers, 1992, Comparison of corn leaf nitrogen concentration and chlorophyll meter readings, Commun Soil Sci Plant Analy, 23, 2173, 10.1080/00103629209368733
Schlemmer, 2005, Remotely measuring chlorophyll content in corn leaves with differing nitrogen levels and relative water content, Agron J, 97, 106, 10.2134/agronj2005.0106
Noulas, 2018, Agronomic assessment of nitrogen use efficiency in spring wheat and interrelations with leaf greenness under field conditions, Commun Soil Sci Plant Analy, 49, 763, 10.1080/00103624.2018.1431267
Varvel, 1997, Ability for in-season correction of nitrogen deficiency in corn using chlorophyll meters, Soil Sci Soc Am J, 61, 1233, 10.2136/sssaj1997.03615995006100040032x
Hussain, 2000, Use of chlorophyll meter sufficiency indices for nitrogen management of irrigated rice in Asia, Agron J, 92, 875, 10.2134/agronj2000.925875x
Francis DD, Piekielek WP. Assessing crop nitrogen needs with chlorophyll meters. SSMG-12. Site-specific management guidelines. Available at http://www.ipni.net/ssmg [accessed April 2019].
Peng, 1996, Increased N-use efficiency using a chlorophyll meter on high-yielding irrigated rice, Field Crop Res, 47, 243, 10.1016/0378-4290(96)00018-4
Bijay-Singh, 2002, Chlorophyll meter and leaf color chart-based nitrogen management for rice and wheat in northwestern India, Agron J, 94, 821, 10.2134/agronj2002.8210
Ali, 2015, Site-specific nitrogen management in dry direct-seeded rice using chlorophyll meter and leaf colour chart, Pedosphere, 25, 72, 10.1016/S1002-0160(14)60077-1
Zhu, 2012, Comparing SPAD and atLEAF values for chlorophyll assessment in crop species, Can J Soil Sci, 92, 645, 10.4141/cjss2011-100
Basyouni, 2015, Use of nondestructive sensors to assess nitrogen status in potted poinsettia (Euphorbia pulcherrima L. (Willd. ex Klotzsch)) production, Sci Hortic, 192, 47, 10.1016/j.scienta.2015.05.011
Dunn, 2018, Effects of nitrogen, phosphorus, and potassium on SPAD-502 and atLEAF sensor readings of Salvia, J Plant Nutr, 41, 1674, 10.1080/01904167.2018.1458874
Page AL, Miller RH, Keeney DR. Methods of soil analysis, Part 2, Chemical and Microbiological Properties, 2nd ed., Agronomy Series No 9, American Society of Agronomy, Madison, WI; 1982.
Soltanpour, 1991, Determination of nutrient availability and elemental toxicity by AB-DTPA soil test and ICPS, Adv Soil Sci, 165, 10.1007/978-1-4612-3144-8_3
Loague, 1991, Statistical and graphical methods for evaluating solute transport models: overview and application, J Contam Hydrol, 7, 51, 10.1016/0169-7722(91)90038-3
Yao, 2012, Active canopy sensor-based precision N management strategy for rice, Agron Sustain Dev, 32, 925, 10.1007/s13593-012-0094-9
Harrell, 2011, Estimating rice grain yield potential using normalized difference vegetation index, Agron J, 103, 1717, 10.2134/agronj2011.0202
Feng, 2011, Changes in NDVI and yield of winter wheat cultivars with different plant types, Chinese J Eco-Agr, 19, 87, 10.3724/SP.J.1011.2011.00087
Bolton, 2013, Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics, Agr Forest Meteorol, 173, 74, 10.1016/j.agrformet.2013.01.007
Ali, 2014, Varinderpal-Singh. Prediction of dry direct-seeded rice yields using chlorophyll meter, leaf colour chart and GreenSeeker optical sensor in northwestern India, Field Crop Res, 161, 11, 10.1016/j.fcr.2014.03.001
Ali, 2015, A framework for refining nitrogen management in dry direct-seeded rice using GreenSeeker optical sensor, Comput Electron Agr, 110, 114, 10.1016/j.compag.2014.10.021
Ali, 2018, Using GreenSeeker active optical sensor for optimizing maize nitrogen fertilization in calcareous soils of Egypt, Arch Agron Soil Sci, 64, 1083, 10.1080/03650340.2017.1411589
Liu, 2017, Using an active-optical sensor to develop an optimal Ndvi dynamic model for high-yield rice production (Yangtze, China), Sensors, 17, 672, 10.3390/s17040672
Báez-González, 2002, Using satellite and field data with crop growth modeling to monitor and estimate corn yield in Mexico, Crop Sci, 42, 1943, 10.2135/cropsci2002.1943
Teal, 2006, In-season prediction of corn grain yield potential using normalized difference vegetation index, Agron J, 98, 1488, 10.2134/agronj2006.0103
Zhang, 2019, Using a portable active sensor to monitor growth parameters and predict grain yield of winter wheat, Sensors, 19, 1108, 10.3390/s19051108
Varinderpal-Singh, 2017, Site-specific fertilizer nitrogen management for timely sown irrigated wheat (Triticum aestivum L. and Triticum turgidum L. spp. durum) genotypes, Nutr Cycl Agroecosys, 109, 1, 10.1007/s10705-017-9860-z
Peterson, 2006
Peng, 1993, Adjustment for specific leaf weight improves chlorophyll meter's estimate of rice leaf nitrogen concentration, Agron J, 85, 987, 10.2134/agronj1993.00021962008500050005x
