Early stage variable rate nitrogen fertilization of silage maize driven by multi-temporal clustering of archive satellite data

2017 ◽  
Vol 8 (2) ◽  
pp. 288-292 ◽  
Author(s):  
R. Casa ◽  
F. Pelosi ◽  
S. Pascucci ◽  
F. Fontana ◽  
F. Castaldi ◽  
...  
Keyword(s):  
Satellite Data ◽  
Nitrogen Fertilization ◽  
Early Stage ◽  
Central Italy ◽  
N Fertilization ◽  
Yield Potential ◽  
Variable Rate ◽  
Landsat Images ◽  
Silage Maize ◽  
Multi Temporal

Nitrogen fertilization of silage maize in Central Italy is typically carried out with two applications at early stages of crop development: 2nd (V2) and 6th (V6) leaf respectively. In such conditions, the crop has not yet fully covered the soil and proximal or remote sensing of the canopy is hindered by the strong soil background signal. There is thus great interest in rapid and inexpensive approaches to N fertilization prescription. Therefore, an indirect method for inferring information on yield potential and soil variability, through a field-based clustering of multi-temporal satellite data, has been developed using archive Landsat images to identify temporally constant patterns. This method is potentially useful for the creation of prescription maps. The usefulness of the method was evaluated during an N fertilisation field trial in Maccarese (Central Italy), in 2016. At the V2 stage, both uniform and variable rate applications were performed and compared. A pseudo-cross variogram and a standardized ordinary co-kriging methodology was used to highlight spatially variable significant differences among the treatments.

scholarly journals The application of Landsat imageries and mangrove vegetation index for monitoring mangrove community in Segara Anakan Lagoon, Cilacap, Central Java

2021 ◽  
Vol 944 (1) ◽  
pp. 012039
Author(s):  
B Prayudha ◽  
V Siregar ◽  
Y I Ulumuddin ◽  
Suyadi ◽  
L B Prasetyo ◽  
...  
Keyword(s):  
Satellite Data ◽  
Vegetation Index ◽  
Life Form ◽  
Critical Role ◽  
Google Earth ◽  
Landsat Images ◽  
Mangrove Tree ◽  
Mangrove Vegetation ◽  
Multi Temporal ◽  
Segara Anakan Lagoon

Abstract The only place for estuarine-mangroves in Java Island, Segara Anakan Lagoon, experiences the vast decline of mangrove cover. Satellite remote sensing has a critical role in monitoring that change as it allows to record vast areas over time. However, most studies tend to utilize satellite data to investigate the change of mangrove areas into other land-use types rather than identify the mangrove community’s shifting. This study utilized the mangrove vegetation index (MVI) for monitoring the changes of mangrove communities at the life-form level using satellite data. The study used multi-temporal Landsat images as it has historical systematic archive data. The threshold value of the index for each class is defined by referring to the field data. The class referred to the life-form classification consisting of mangrove trees, Nypa, and understorey. The image analysis was conducted using Google Earth Engine (GEE), while R software was used for determining threshold values through statistical analysis. The result shows that the MVI can differentiate between some life forms of mangroves, with the overall accuracy reaching 78.79% and a kappa coefficient of 0.729. Further, the multi-temporal maps showed the decline of mangrove tree areas, which the understorey and Nypa community have replaced.

scholarly journals Combining Ability and Heterosis of Algerian Saharan Maize Populations (Zea mays L.) for Tolerance to No-Nitrogen Fertilization and Drought

Agronomy ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 492
Author(s):  
Meriem Riache ◽  
Pedro Revilla ◽  
Oula Maafi ◽  
Rosa Ana Malvar ◽  
Abderahmane Djemel
Keyword(s):  
Zea Mays ◽  
Stress Tolerance ◽  
Nitrogen Fertilization ◽  
Recurrent Selection ◽  
Zea Mays L ◽  
Base Material ◽  
N Fertilization ◽  
Nitrogen Stress ◽  
Reciprocal Recurrent Selection ◽  
Maize Populations

Drought and low nitrogen are major stresses for maize (Zea mays L.), and maize populations from the Sahara Desert are potential sources of stress tolerance. The objectives were to assess the tolerance and varietal and heterosis effects of Algerian populations under no-nitrogen fertilization and water stress. A diallel among six Algerian maize population was evaluated under drought (300 mm irrigation) vs. control (600 mm) and no-nitrogen fertilization vs. 120 kh ha−1 N fertilization. Genotypes showed significant differences and genetic effects for water- and nitrogen-stress tolerance. We propose a reciprocal recurrent selection to take advantage of additive and non-additive effects, using AOR and IGS, since they showed good performance in optimum and stress conditions, for improving yield heterosis for AOR × IGS. Negative effects are not expected on plant height, anthesis–silking interval or early vigor. These populations and BAH could be sources of inbred lines tolerant to drought and no-nitrogen fertilization. There was no relationship between origin and genetic group and stress tolerance per se or as parents of tolerant crosses. These populations and crosses could be used as base material among Algerian populations, for breeding programs focusing on tolerance to water or nitrogen stress.

scholarly journals Optimal Nitrogen Fertilization to Reach the Maximum Grain and Stover Yields of Maize (Zea mays L.): Tendency Modeling

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1354
Author(s):  
Sergio E. Medina-Cuéllar ◽  
Deli N. Tirado-González ◽  
Marcos Portillo-Vázquez ◽  
Sergio Orozco-Cirilo ◽  
Marco A. López-Santiago ◽  
...  
Keyword(s):  
Nitrogen Fertilization ◽  
Zea Mays L ◽  
N Fertilization ◽  
Human Consumption ◽  
Alluvial Soils ◽  
Grain Production ◽  
Negative Effects ◽  
Maize Stover ◽  
The Individual ◽  
Quadratic Models

Utilization of maize stover to the production of meat and milk and saving the grains for human consumption would be one strategy for the optimal usage of resources. Variance and tendency analyses were applied to find the optimal nitrogen (N) fertilization dose (0, 100, 145, 190, 240, and 290 kg/ha) for forage (F), stover (S), cob (C), and grain (G) yields, as well as the optimal grain-to-forage, cob-to-forage, and cob-to-stover ratios (G:F, C:F, and C:S, respectively). The study was performed in central Mexico (20.691389° N and −101.259722° W, 1740 m a.m.s.l.; Cwa (Köppen), 699 mm annual precipitation; alluvial soils). N-190 and N-240 improved the individual yields and ratios the most. Linear and quadratic models for CDM, GDM, and G:F ratio had coefficients of determination (R2) of 0.20–0.46 (p < 0.03). Cubic showed R2 = 0.30–0.72 (p < 0.02), and the best models were for CDM, GDM, and the G:F, C:F, and C:S DM ratios (R2 = 0.60–0.72; p < 0.0002). Neither SHB nor SDM negatively correlated with CDM or GDM (r = 0.23–0.48; p < 0.0001). Excess of N had negative effects on forage, stover, cobs, and grains yields, but optimal N fertilization increased the proportion of the G:F, C:F, and C:S ratios, as well as the SHB and SDM yields, without negative effects on grain production.

scholarly journals Response of Soybean (Glycine max (L.) Merrill) to Mineral Nitrogen Fertilization and Bradyrhizobium japonicum Seed Inoculation

Agronomy ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1300
Author(s):  
Janusz Prusiński ◽  
Anna Baturo-Cieśniewska ◽  
Magdalena Borowska
Keyword(s):  
Nitrogen Fertilization ◽  
Bradyrhizobium Japonicum ◽  
Plant Density ◽  
Higher Plants ◽  
High Sensitivity ◽  
N Fertilization ◽  
Mineral N ◽  
Plant Nitrogen ◽  
Seed Inoculation ◽  
Glycine Max L

A growing interest in soybean cultivation in Poland has been observed in the recent years, however it faces a lot of difficulties resulting from a poorly understood effectiveness of plant nitrogen fertilization and from the introduction of Bradyrhizobium japonicum to the environment. The aim of the study was to evaluate the consistency of response of two soybean cultivars to three different rates of mineral N fertilization and two seed inoculation treatments with B. japonicum in field conditions over four years regardless of previous B. japonicum presence in the soil. A highly-diversified-over-years rainfall and temperature in the growing season do not allow for a definite statement of the differences resulting from seed inoculation and mineral N fertilization applied separately or jointly in soybean. A high sensitivity of the nodulation process to rainfall deficits was noted, which resulted in a decreased amount of B. japonicum DNA measured in qPCR and dry matter of nodules. ‘Annushka’ demonstrated a higher yield of seeds and protein, higher plants and the 1st pod setting. ‘Aldana’, due to a significant decrease in plant density, produced a higher number of pods, seeds per pod and the 1000 seed weight per plant. Both cultivars responded with an increase in the seed yield after seed inoculation with HiStick, also with an application of 30 and 60 kg N, as well as with Nitragina with 60 kg N.

scholarly journals Winter pasture and cover crops and their effects on soil and summer grain crops

2011 ◽  
Vol 46 (10) ◽  
pp. 1357-1363 ◽  
Author(s):  
Alvadi Antonio Balbinot Junior ◽  
Milton da Veiga ◽  
Anibal de Moraes ◽  
Adelino Pelissari ◽  
Álvaro Luiz Mafra ◽  
...  
Keyword(s):  
Land Use ◽  
Common Bean ◽  
Cover Crops ◽  
Nitrogen Fertilization ◽  
Soil Compaction ◽  
Surface Soil ◽  
Soil Layer ◽  
N Fertilization ◽  
The North ◽  
Oilseed Radish

The objective of this work was to evaluate the effect of winter land use on the amount of residual straw, the physical soil properties and grain yields of maize, common bean and soybean summer crops cultivated in succession. The experiment was carried out in the North Plateau of Santa Catarina state, Brazil, from May 2006 to April 2010. Five strategies of land use in winter were evaluated: intercropping with black oat + ryegrass + vetch, without grazing and nitrogen (N) fertilization (intercropping cover); the same intercropping, with grazing and 100 kg ha-1 of N per year topdressing (pasture with N); the same intercropping, with grazing and without nitrogen fertilization (pasture without N); oilseed radish, without grazing and nitrogen fertilization (oilseed radish); and natural vegetation, without grazing and nitrogen fertilization (fallow). Intercropping cover produces a greater amount of biomass in the system and, consequently, a greater accumulation of total and particulate organic carbon on the surface soil layer. However, land use in winter does not significantly affect soil physical properties related to soil compaction, nor the grain yield of maize, soybean and common bean cultivated in succession.

Monitoring mangrove forest dynamics of the Sundarbans in Bangladesh and India using multi-temporal satellite data from 1973 to 2000

2007 ◽  
Vol 73 (1-2) ◽  
pp. 91-100 ◽  
Author(s):  
Chandra Giri ◽  
Bruce Pengra ◽  
Zhiliang Zhu ◽  
Ashbindu Singh ◽  
Larry L. Tieszen
Keyword(s):  
Satellite Data ◽  
Forest Dynamics ◽  
Mangrove Forest ◽  
Multi Temporal ◽  
The Sundarbans

Effect of nitrogen fertilization on yield, storage losses and chemical composition of winter cabbage

1991 ◽  
Vol 71 (3) ◽  
pp. 943-946 ◽  
Author(s):  
S. Freyman ◽  
P. M. Toivonen ◽  
W. C. Lin ◽  
P. W. Perrin ◽  
J. W. Hall
Keyword(s):  
Ascorbic Acid ◽  
Chemical Composition ◽  
Key Words ◽  
Nitrogen Fertilization ◽  
N Fertilization ◽  
Nitrogen Rate ◽  
N Application ◽  
Storage Losses ◽  
White Cabbage ◽  
Brassica Oleracea L

Increasing rates of field nitrogen (N) application (0, 100, 200, 300, 400 and 500 kg N ha−1) resulted in markedly higher yields of winter white cabbage (Brassica oleracea L. var. capitata 'Bartolo') due to larger head size. Glucose and fructose contents increased with increased nitrogen. In contrast, ascorbic acid and sucrose contents declined slightly with increased nitrogen. Nitrogen rate had little effect on storage losses. The results indicated that increased N fertilization provided overall benefit to cabbage production. Key words: Cabbage, nitrogen fertilization, storage losses, yield

scholarly journals A Webgis Framework for Disseminating Processed Remotely Sensed on Land Cover Transformations

2016 ◽  
Vol 100 (1) ◽  
pp. 27-38 ◽  
Author(s):  
Grazia Caradonna ◽  
Antonio Novelli ◽  
Eufemia Tarantino ◽  
Raffaela Cefalo ◽  
Umberto Fratino
Keyword(s):  
Land Cover ◽  
Satellite Data ◽  
Vegetation Indices ◽  
Remote Sensing Data ◽  
Geospatial Data ◽  
Usage Patterns ◽  
Mediterranean Regions ◽  
Multi Temporal ◽  
Using Data ◽  
Set Up

Abstract Mediterranean regions have experienced significant soil degradation over the past decades. In this context, careful land observation using satellite data is crucial for understanding the long-term usage patterns of natural resources and facilitating their sustainable management to monitor and evaluate the potential degradation. Given the environmental and political interest on this problem, there is urgent need for a centralized repository and mechanism to share geospatial data, information and maps of land change. Geospatial data collecting is one of the most important task for many users because there are significant barriers in accessing and using data. This limit could be overcome by implementing a WebGIS through a combination of existing free and open source software for geographic information systems (FOSS4G). In this paper we preliminary discuss methods for collecting raster data in a geodatabase by processing open multi-temporal and multi-scale satellite data aimed at retrieving indicators for land degradation phenomenon (i.e. land cover/land use analysis, vegetation indices, trend analysis, etc.). Then we describe a methodology for designing a WebGIS framework in order to disseminate information through maps for territory monitoring. Basic WebGIS functions were extended with the help of POSTGIS database and OpenLayers libraries. Geoserver was customized to set up and enhance the website functions developing various advanced queries using PostgreSQL and innovative tools to carry out efficiently multi-layer overlay analysis. The end-product is a simple system that provides the opportunity not only to consult interactively but also download processed remote sensing data.

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