Literatura académica sobre el tema "Nitrogen Nutrition Index (NNI)"
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Artículos de revistas sobre el tema "Nitrogen Nutrition Index (NNI)":
Song, Lijuan, Shu Wang y Wanjun Ye. "Establishment and Application of Critical Nitrogen Dilution Curve for Rice Based on Leaf Dry Matter". Agronomy 10, n.º 3 (6 de marzo de 2020): 367. http://dx.doi.org/10.3390/agronomy10030367.
de Souza, Romina, M. Teresa Peña-Fleitas, Rodney B. Thompson, Marisa Gallardo y Francisco M. Padilla. "Assessing Performance of Vegetation Indices to Estimate Nitrogen Nutrition Index in Pepper". Remote Sensing 12, n.º 5 (26 de febrero de 2020): 763. http://dx.doi.org/10.3390/rs12050763.
JIN, X. L., W. Y. DIAO, C. H. XIAO, F. Y. WANG, B. CHEN, K. R. WANG y S. K. LI. "Estimation of wheat nitrogen status under drip irrigation with canopy spectral indices". Journal of Agricultural Science 153, n.º 7 (2 de octubre de 2014): 1281–91. http://dx.doi.org/10.1017/s0021859614001014.
Lindquist, John L., Sean P. Evans, Charles A. Shapiro y Stevan Z. Knezevic. "Effect of Nitrogen Addition and Weed Interference on Soil Nitrogen and Corn Nitrogen Nutrition". Weed Technology 24, n.º 1 (marzo de 2010): 50–58. http://dx.doi.org/10.1614/wt-09-070.1.
Chen, Bo, Xianju Lu, Shuan Yu, Shenghao Gu, Guanmin Huang, Xinyu Guo y Chunjiang Zhao. "The Application of Machine Learning Models Based on Leaf Spectral Reflectance for Estimating the Nitrogen Nutrient Index in Maize". Agriculture 12, n.º 11 (2 de noviembre de 2022): 1839. http://dx.doi.org/10.3390/agriculture12111839.
Mazurczyk, Władysław y Barbara Lis. "The influence of nitrogen deficiency and excess in potato plants on biomass accumulation and distribution". Acta Agrobotanica 53, n.º 1 (2013): 47–55. http://dx.doi.org/10.5586/aa.2000.006.
Ye, Chun, Ying Liu, Jizhong Liu, Yanda Li, Binfeng Sun, Shifu Shu y Luofa Wu. "Simulation of the critical nitrogen dilution curve in Jiangxi double-cropped rice region based on leaf dry matter weight". PLOS ONE 16, n.º 11 (3 de noviembre de 2021): e0259204. http://dx.doi.org/10.1371/journal.pone.0259204.
Lu, J., Y. Miao, W. Shi, J. Li, J. Wan, X. Gao, J. Zhang y H. Zha. "Using portable RapidSCAN active canopy sensor for rice nitrogen status diagnosis". Advances in Animal Biosciences 8, n.º 2 (1 de junio de 2017): 349–52. http://dx.doi.org/10.1017/s2040470017000115.
Gonzalez-Dugo, Victoria, Jean-Louis Durand, François Gastal y Catherine Picon-Cochard. "Short-term response of the nitrogen nutrition status of tall fescue and Italian ryegrass swards under water deficit". Australian Journal of Agricultural Research 56, n.º 11 (2005): 1269. http://dx.doi.org/10.1071/ar05064.
Costa, Newton de Lucena, João Avelar Magalhães, Amaury Bularmaqui Bendahan, Antônio Neri Azevedo Rodrigues, Braz Henrique Nunes Rodrigues y Francisco José Seixas Santos. "Response of Brachiaria brizantha cv. Piatã pastures to nitrogen fertilization". Research, Society and Development 9, n.º 3 (19 de febrero de 2020): e89932498. http://dx.doi.org/10.33448/rsd-v9i3.2498.
Tesis sobre el tema "Nitrogen Nutrition Index (NNI)":
Bouchard, Marie-Astrid. "Suivi non destructif de l’indice de nutrition azotée par proxi- et télédétection en vue d’un pilotage dynamique et spatialisé de la fertilisation azotée du blé tendre". Electronic Thesis or Diss., Université de Lille (2022-....), 2022. http://www.theses.fr/2022ULILR011.
Increase the Nitrogen (N) use efficiency (NUE) to minimize the N pollution while maintaining high crop yield and satisfactory quality at harvest is essential for the development of sustainable agriculture. A better consideration of the spatial and temporal variability of N requirements would allow to adapt N fertilizer rate in space and time to match crops’ demand to increase N recovery. Knowledge of the crop's N status during growth should therefore make it possible to improve fertilisation practices. In this context, the main purpose of this thesis project was to make non-destructive monitoring of the winter wheat (Triticum aestivum L.) N nutrition index (NNI) during crops’ growth with the aim of subsequently integrating this knowledge into a dynamic management approach to N fertilisation. For this purpose, three experimental fields showing various patterns of NNI dynamics were monitored in the North of France, both on field with destructive measurements and with a leaf-clip sensor (Dualex, Force A, Orsay, France), but also with multispectral cameras embedded on unmanned aerial vehicles (UAV). During the three growing seasons (2019-2021), Dualex leaf-clip presents a stable and relevant application to predict NNI at stage two nodes (R²=0.78). For the first year, commonly used vegetation indices (VI) were calculated from pictures taken by Sequoia camera (Parrot, Paris, France) and evaluated to monitor NNI. The correlation between these VI remains average. According to these results, it was difficult to select a discriminant VI among commonly used VI which confirms the interest in studying new wavelengths to increase VI sensitivity to change in N status. Since 2020, to enhance the investigation of the relationship between VI and NNI, a six-lens multispectral modular camera (Kernel camera, Mapir, San Diego, CA, USA) was used and allow to take picture in 15 wavelengths, from 405nm to 940nm. Measurements taken at 15 wavelengths made it possible to calculate eight VI, with a total of 248 different wavelength combinations. Among these combinations, the combination of green and near-infrared measurements at the beginning of elongation and the associations of the near-infrared with the orange-early red portion of the spectrum at the end of elongation were of interest. Four non-parametric prediction models were then construct and evaluated to consider more explanatory variables than simple VI which combine only few wavelengths’ measurements. The partial least squares (PLS) regression model, which was of most interest in this study, was then combined with proximal sensing measurements to significantly improve the ability to predict N status. A prediction model of NNI combining remote and proximal sensing measurements was therefore built and should be tested in a farmer's plot. This study was completed by monitoring yield components, highlighting the number of spikes.m-² as the yield component most influenced by fertilisation but also the most determinant for yield. Finally, a second part of this work aims to compare the agronomic and environmental performances of 4 decision support tools (DSTs) used by farmers, with the classical balance sheet method (BSM), at the crop succession scale. The fertilizer N dose advised by DSTs was mostly higher than those calculated with the BSM without any significant increases neither in crop yield nor in grain quality. The excess of fertilizer N was weakly recovered by crop and led to over-fertilization, more pronounced in dry condition. In this context, a dynamic fertilisation method based on a diagnosis of nitrogen status or mineral N availability earlier in the season is relevant and could be based on a NNI monitoring model combining proximal and remote sensing measurements
Mistele, Bodo. "Tractor based spectral reflectance measurements using an oligo view optic to detect biomass, nitrogen content and nitrogen uptake of wheat and maize and the nitrogen nutrition index of wheat". [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=980399661.
Metcalfe, Rebecca Joy. "Inorganic and organic nitrogen forms in forest soils and their contributions to temperate, woody plant nutrition". Thesis, 2008. http://hdl.handle.net/1828/2510.
Mistele, Bodo [Verfasser]. "Tractor based spectral reflectance measurements using an oligo view optic to detect biomass, nitrogen content and nitrogen uptake of wheat and maize and the nitrogen nutrition index of wheat / Bodo Mistele". 2006. http://d-nb.info/980399661/34.
Kitonyo, Onesmus Musembi. "Mechanisms contributing to wheat and maize yield under no-till, stubble retention and nitrogen fertilization in contrasting environments". Thesis, 2018. http://hdl.handle.net/2440/115174.
Thesis (Ph.D.) (Research by Publication) -- University of Adelaide, School of Agriculture, Food and Wine, 2018
Κουβέλας, Αντώνης. "Μεταβολές του αζώτου στο έδαφος και την καλλιέργεια γλυκού σόργου (Sorghum bicolor (L) Moench)". Thesis, 2010. http://nemertes.lis.upatras.gr/jspui/handle/10889/4139.
The aim of the present thesis was to study the nitrogen dynamics in sweet sorghum crop. Sweet sorghum plants [Sorghum bicolor (L) Moench] variety Keller were used, and field and experiments were conducted. Field experiments were conducted during 2004 and 2005 growing seasons at the experimental station of the University of Patras, Greece and there were two treatments (biological and conventional soil fertility treatment), in a randomized complete block experimental design with three replications. The results showed that biological soil fertility treatment favour soil nitrate nitrogen concentration. In 2004, until completion of blooming, nitrogen uptake was higher in plants cultivated on biological fertility treated soil than in them cultivated on conventional but the differences were not statistically significant, except in second sampling, which nitrogen uptake was 2,69 N gm-2 in plants cultivated on conventional fertility treated soil and it was 5,12 N gm-2 in plants cultivated on conventional fertility treated soil. In 2005, until half of blooming, nitrogen uptake was similarly ranged for both treatments but the differences were not statistically significant, except in third sampling, which nitrogen uptake was 3,61 N gm-2 in plants cultivated on conventional fertility treated soil and it was 4,61 N gm-2 in plants cultivated on conventional fertility treated soil. Τhe effect of Azospirillum brasilense inoculation on growth parameters and nitrogen uptake in sweet sorghum plants fertilized with various nitrogen levels, was studied during pot experiments. Each experiment was including five treatments and thirty replications of each. Plants inoculated with Azospirillum brasilense and receiving half amount of nitrogen fertilizer produced 7,69 g dry biomass plant-1 at the end of the first experiment and they produced 4,89 at the end of the second one, while plants receiving full amount of nitrogen fertilizer and no inoculation produced 2,39 and 2,04 g dry biomass plant-1 at the end of the first and second experiment, respectively. Differences among treatments in each experiment, were statistically significant. Total nitrogen uptake in Plants inoculated with Azospirillum brasilense and receiving half amount of nitrogen fertilizer was 153,23 and it was 99,96 mg plant-1 at the end of first and second experiment, respectively. Those plants showed higher nitrogen uptake than plants from each other treatment and the differences were statistically significant. Results showed that treatments which inoculated with Azospirillum brasilense were the most efficient in terms of nitrogen uptake. These results indicate that biological management provides an adequate nitrogen nutrition to sweet sorghum crop. High nitrogen efficiency in sweet sorghum plants leads in reduced applying nitrogen fertilization and contribute in reduced crop cost, in reduced emission of the greenhouse gas and in reduced leaching of NO3-N to ground water.
Morland, Fanny. "Nutrition et état de santé : études paléochimique et paléopathologique de la population exhumée du cimetière protestant Saint-Matthew, ville de Québec, Canada (1771-1860)". Thèse, 2009. http://hdl.handle.net/1866/4121.
Ninety-five human skeletons from archaeological excavations at the protestant Saint-Matthew burial ground (Quebec City, 1771-1860) were studied with respect to two major aspects of palaeonutrition: palaeochemistry and palaeopathology. The aim of this study was to explore the relationship between nutrition and health in this preindustrial population. Direct information on the types of food consumed was obtained from stable carbon and nitrogen isotope analyses of bone collagen, and indirect information was acquired by quantifying health status. Palaeopathological methods used are the “health index” method (Steckel et al.,2002) for interpopulational comparison, and then quantifications using more precise severity degrees for assessing intrapopulational variation. Data analysis revealed a relatively bad health status compared to other contemporary North-American groups despite a relatively similar nutrition. Food differences in relation to palaeodemographical data (age, sex) were noted, in particular about the variability of weaning process achievement. Furthermore, a diet depleted in C4 (corn, sugarcane) and in animal resources (meat, fish, dairy products) was noted for children between two and seven years old in comparison to older individuals. Finally, a possible relationship between pathologies severity (cribra orbitalia, periostitis) and the consumption of C4 and/or marine resources and animal products rich in protein was highlighted while comparing all the data.
Capítulos de libros sobre el tema "Nitrogen Nutrition Index (NNI)":
Isfan, D. "Genotypic variability for physiological efficiency index of nitrogen in oats". En Optimization of Plant Nutrition, 189–95. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2496-8_31.
Ugalde, T. D. "A physiological basis for genetic improvement to nitrogen harvest index in wheat". En Genetic Aspects of Plant Mineral Nutrition, 301–9. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1650-3_37.
Lemaire, G. y J. M. Meynard. "Use of the Nitrogen Nutrition Index for the Analysis of Agronomical Data". En Diagnosis of the Nitrogen Status in Crops, 45–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60684-7_2.
"Index". En Nitrogen and Energy Nutrition of Ruminants, 349–58. Elsevier, 1986. http://dx.doi.org/10.1016/b978-0-08-092579-0.50025-5.
Actas de conferencias sobre el tema "Nitrogen Nutrition Index (NNI)":
Zhao, Yu, Zhenhai Li, Jianwen Wang, Wude Yang, Dandan Duan y Xiaobin Xu. "Recommendations for Nitrogen Fertilizer in Winter wheat Based on Nitrogen Nutrition Index". En 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, 2019. http://dx.doi.org/10.1109/agro-geoinformatics.2019.8820439.
Paleari, Livia, Michele Zoli, Jacopo Bacenetti y Roberto Confalonieri. "Can PocketNNI, a new smart app for Nitrogen Nutrition Index estimation, reduce the environmental impact of rice?" En 2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). IEEE, 2021. http://dx.doi.org/10.1109/metroagrifor52389.2021.9628796.
Cao, Qiang, Yuxin Miao, Xiaowei Gao, Bin Liu, Guohui Feng y Shanchao Yue. "Estimating the nitrogen nutrition index of winter wheat using an active canopy sensor in the North China Plain". En 2012 First International Conference on Agro-Geoinformatics. IEEE, 2012. http://dx.doi.org/10.1109/agro-geoinformatics.2012.6311634.