scholarly journals Nitrogen replenishment using variable rate application technique in a small hand-harvested pear orchard

2018 ◽  
Vol 15 (4) ◽  
pp. e0209 ◽  
Author(s):  
Anna Vatsanidou ◽  
George D. Nanos ◽  
Spyros Fountas ◽  
John Baras ◽  
Anamaria Castrignano ◽  
...  

Precision agriculture is a management approach for sustainable agriculture. It can be applied even in small fields. It aims to optimize inputs, improve profits, and reduce adverse environmental impacts. In this study, a series of measurements were conducted over three growing seasons to assess variability in a 0.55 ha pear orchard located in central Greece. Soil ECa was measured using EM38 sensor, while soil samples were taken from a grid 17 × 8 m and analysed for texture, pH, P, K, Mg, CaCO3, and organic matter content. Data analysis indicated that most of the nutrients were at sufficient levels. Soil and yield maps showed considerable variability while fruit quality presented small variations across the orchard. Yield fluctuations were observed, possibly due to climatic conditions. Prescription maps were developed for nitrogen variable rate application (VRA) for two years based on the replacement of the nutrients removed by the crop. VRA application resulted in 56% and 50% reduction of N fertiliser compared to uniform application.

Author(s):  
Kenneth A. Sudduth ◽  
◽  
Aaron J. Franzen ◽  
Heping Zhu ◽  
Scott T. Drummond ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247263
Author(s):  
Robert R. Dobos ◽  
Kaitlin Benedict ◽  
Brendan R. Jackson ◽  
Orion Z. McCotter

Coccidioidomycosis, also known as Valley fever, is a disease that can result in substantial illness and death. It is most common in the southwestern United States and areas of Latin America with arid climates, though reports increasingly suggest its range is wider than previously recognized. The natural habitat of the causative organisms, Coccidioides spp., have been associated with certain soil properties and climatic conditions. Current understanding of its geographic range is primarily defined by skin test studies and outbreak locations. We developed a fuzzy system model to predict suitable soil habitats for Coccidioides across the western United States based on parameters (electrical conductivity, organic matter content, pH, water holding capacity, temperature, and precipitation) from sites where soil sampling has confirmed the presence of Coccidioides. The model identified high coccidioidomycosis incidence areas as having high suitability and identified pockets of elevated suitability corresponding with outbreak locations outside the traditional range. By providing high-resolution estimates of Coccidioides suitability, including areas without public health surveillance for coccidioidomycosis, this model may be able to aid public health and clinical provider decision making. Awareness of possible Coccidioides soil habitats could help mitigate risk during soil-disturbing activities and help providers improve coccidioidomycosis diagnosis and treatment.


2020 ◽  
Vol 53 (2) ◽  
pp. 137-143
Author(s):  
ADINA PETRUȚA JIPA ◽  
DANELA MURARIU

Soil fertility, upon which plant growth and hence crop yield and quality depend, embraces its content of plant food (nutrients), its organic matter content, its structure, its ability to supply water and its depth. Excessive use of fertilizers with nitrogen products of ion nitric accumulation in the soil (temporary) and in plants, which disturbs the balance of photosynthesis, causes the appearance of necrosis and burns on leaves, severe intoxication and even death by asphyxiation phenomena and cyanosis at ruminants, children and old people. One of the ways of soil pollution through agricultural technology is over-fertilization and, in particular, the administration of high doses of nitrogen fertilizers. Excess of nitrogen fertilizers, as well as their empirical application, have negative effects on harvest quality. The main aim of this study was to determine the effect of five nitrogen levels and different type of fertilizers on the agrochemical evolution of the chernozemic soil in the superficial horizon. Field experiments were conducted at the Agricultural Research and Development Station (ARDS) Suceava, Romania, in two growing seasons (2017 and 2018) with five nitrogen levels (80 kg/ha, 120 kg/ha, 160 kg/ha, 200 kg/ha and 240 kg/ha) and two type of nitrogen fertilizers (ammonium nitrate and urea).


2020 ◽  
Vol 12 (17) ◽  
pp. 6893
Author(s):  
Anna Vatsanidou ◽  
Spyros Fountas ◽  
Vasileios Liakos ◽  
George Nanos ◽  
Nikolaos Katsoulas ◽  
...  

Precision Agriculture (PA) is a crop site-specific management system that aims for sustainability, adopting agricultural practices more friendly to the environment, like the variable rate application (VRA) technique. Many studies have dealt with the effectiveness of VRA to reduce nitrogen (N) fertilizer, while achieving increased profit and productivity. However, only limited attention was given to VRA’s environmental impact. In this study an International Organization for Standardization (ISO) based Life Cycle Assessment (LCA) performed to identify the environmental effects of N VRA on a small pear orchard, compared to the conventional uniform application. A Cradle to Gate system with a functional unit (FU) of 1 kg of pears was analyzed including high quality primary data of two productive years, including also the non-productive years, as well as all the emissions during pear growing and the supply chains of all inputs, projecting them to the lifespan of the orchard. A methodology was adopted, modelling individual years and averaging over the orchard’s lifetime. Results showed that Climate change, Water scarcity, Fossil fuels and Particulate formation were the most contributing impact categories to the overall environmental impact of the pear orchard lifespan, where climate change and particulates were largely determined by CO2, N2O, and NH3 emissions to the air from fertilizer production and application, and as CO2 from tractor use. Concerning fertilization practice, when VRA was combined with a high yield year, this resulted in significantly reduced environmental impact. LCA evaluating an alternative fertilizer management system in a Greek pear orchard revealed the environmental impact reduction potential of that system.


Author(s):  
Fred Stoddard

Europe depends on synthetic N fertilizer for crops, and on imports for 70% of its plant protein requirements, and has little influence on the prices of these commodities. Since 2007, we have screened over 50 accessions of 10 grain legume species for adaptation to Finnish growing conditions, initially at Viikki and subsequently also at Mikkeli and Jokioinen. The trials are in randomized complete blocks with 4 replicates and are generally managed with appropriate herbicides, fungicides and pesticides as required to demonstrate yield potential. No imported cultivar of faba bean (Vicia faba) has been significantly earlier than cv Kontu, but some have matured at much the same time and have shown higher yield combined with greater resistance to drought and chocolate spot disease (Botrytis fabae), while sources of earliness have been identified in larger germplasm screens. This species is best adapted to heavy clay soils with a neutral to alkaline pH. With a protein content around 30% and average yields over 3.5 t/ha, faba bean yields more protein per hectare than any other crop in Finland. The narrow-leaf lupin (Lupinus angustifolius) cvs Sonet and Haags Blaue have been shown to be suitable for growing in Finland, with growing seasons of about 100 days or 1000 growing degree-days above 5°C (GDD). The species is particularly adapted to acid sandy soils and in 2011, 91 ha of these cultivars were grown, mostly in Pohjanmaa and Satakunta. Expected seed yields are about 2 t/ha, with protein content around 34-36%. While primarily a feed crop, it is also of interest for food ingredients. Several Canadian lentil (Lens culinaris) cultivars are also suitable, with growing seasons of 90-100 days from May sowing. Lentil needs free-draining soils with low organic-matter content and can yield about 1.5 t/ha of food-quality seeds. Autumn-sown lentil overwintered successfully in 2010-2011 under the heavy snow blanket and was resistant to snow mould (Microdochium spp.). White lupin (Lupinus albus) has shown potential as a biomass or forage crop, including in crop mixtures with cereals. Certain modern cultivars produce more biomass than any other annual legume in our trialsand cover the ground well, suppressing weed growth. Most white lupin cultivars are well adapted to mildly acid soils and need good drainage. Seedlings of all 4 species are tolerant of spring frosts. Frost-sensitive species have also been tested but so far have not shown sufficient yield or adaptation. The trials have shown that there is potential to produce legumes in crop rotations in most parts of the Finnish arable zone.


Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1104
Author(s):  
Mohammad Rokhafrouz ◽  
Hooman Latifi ◽  
Ali A. Abkar ◽  
Tomasz Wojciechowski ◽  
Mirosław Czechlowski ◽  
...  

Enhancing digital and precision agriculture is currently inevitable to overcome the economic and environmental challenges of the agriculture in the 21st century. The purpose of this study was to generate and compare management zones (MZ) based on the Sentinel-2 satellite data for variable rate application of mineral nitrogen in wheat production, calculated using different remote sensing (RS)-based models under varied soil, yield and crop data availability. Three models were applied, including (1) a modified “RS- and threshold-based clustering”, (2) a “hybrid-based, unsupervised clustering”, in which data from different sources were combined for MZ delineation, and (3) a “RS-based, unsupervised clustering”. Various data processing methods including machine learning were used in the model development. Statistical tests such as the Paired Sample T-test, Kruskal–Wallis H-test and Wilcoxon signed-rank test were applied to evaluate the final delineated MZ maps. Additionally, a procedure for improving models based on information about phenological phases and the occurrence of agricultural drought was implemented. The results showed that information on agronomy and climate enables improving and optimizing MZ delineation. The integration of prior knowledge on new climate conditions (drought) in image selection was tested for effective use of the models. Lack of this information led to the infeasibility of obtaining optimal results. Models that solely rely on remote sensing information are comparatively less expensive than hybrid models. Additionally, remote sensing-based models enable delineating MZ for fertilizer recommendations that are temporally closer to fertilization times.


1994 ◽  
Vol 119 (2) ◽  
pp. 216-222 ◽  
Author(s):  
Ian A. Merwin ◽  
Warren C. Stiles ◽  
Harold M. van Es

This study was conducted to compare various orchard groundcover management systems (GMSs)—including a crownvetch “living mulch” (CNVCH), close-mowed (MWSOD) and chemically growth-regulated (GRSOD) sodgrasses, pre-emergence (NDPQT) and two widths of post-emergence (GLY1.5 and GLY2.5) herbicides, hay-straw mulch (STMCH), and monthly rototillage (tilled)—during the first 6 years in a newly established apple (Malus domestica Borkh.) planting. Mean soil water potential at 5 to 35 cm deep varied substantially among treatments each summer, and treatment × year interactions were observed. During most growing seasons from 1986 to 1991, soil water availability trends were STMCH > NDPQT > GLY2.5 > GLY1.5 > tilled > GRSOD > MWSOD > CNVCH. Soil organic matter content increased under STMCH, CNVCH, and MWSOD and decreased under NDPQT and tilled treatments. Water infiltration and saturated hydraulic conductivity after 4 years were lower under NDPQT and tilled, and soil under STMCH and GRSOD retained more water per unit volume at applied pressures approximating field water capacity. Mid-summer soil temperatures at 5 cm deep were highest (25 to 28C) in tilled and NDPQT plots, intermediate (22 to 24C) under GRSOD, and lowest (16 to 20C) under CNVCH and STMCH. These observations indicate that long-term soil fertility and orchard productivity may be diminished under pre-emergence herbicides and mechanical cultivation in comparison with certain other GMSs.


Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 645
Author(s):  
S. Hamed Javadi ◽  
Angela Guerrero ◽  
Abdul M. Mouazen

In precision agriculture (PA) practices, the accurate delineation of management zones (MZs), with each zone having similar characteristics, is essential for map-based variable rate application of farming inputs. However, there is no consensus on an optimal clustering algorithm and the input data format. In this paper, we evaluated the performances of five clustering algorithms including k-means, fuzzy C-means (FCM), hierarchical, mean shift, and density-based spatial clustering of applications with noise (DBSCAN) in different scenarios and assessed the impacts of input data format and feature selection on MZ delineation quality. We used key soil fertility attributes (moisture content (MC), organic carbon (OC), calcium (Ca), cation exchange capacity (CEC), exchangeable potassium (K), magnesium (Mg), sodium (Na), exchangeable phosphorous (P), and pH) collected with an online visible and near-infrared (vis-NIR) spectrometer along with Sentinel2 and yield data of five commercial fields in Belgium. We demonstrated that k-means is the optimal clustering method for MZ delineation, and the input data should be normalized (range normalization). Feature selection was also shown to be positively effective. Furthermore, we proposed an algorithm based on DBSCAN for smoothing the MZs maps to allow smooth actuating during variable rate application by agricultural machinery. Finally, the whole process of MZ delineation was integrated in a clustering and smoothing pipeline (CaSP), which automatically performs the following steps sequentially: (1) range normalization, (2) feature selection based on cross-correlation analysis, (3) k-means clustering, and (4) smoothing. It is recommended to adopt the developed platform for automatic MZ delineation for variable rate applications of farming inputs.


2020 ◽  
Vol 1 (1) ◽  
pp. 18-24
Author(s):  
Sanjay- Swami ◽  

In the North Western Himalayas, particularly Jammu region, where 85% of people depend on agriculture and allied sectors, 70% of agriculture is rain-fed. Various factors, especially land use pattern and variations in climatic conditions affect the soil fertility and nutrient contents. However, information on essential nutrients in the soil across the region is meager. An attempt has been made to study the soil nutrient status under different agro-climatic zones of Jammu region. Seven hundred seventy surface soil samples (0-15 cm) from sub-tropical, intermediate and temperate zones of Jammu region were collected and analyzed for soil texture, pH, electrical conductivity (EC), organic carbon (OC), CaCO3, CEC, available macro nutrients (N, P, K, S) and micronutrients (Fe, Cu, Zn, Mn). The results indicated large variation within the soils of each zone. The amount of all the available nutrients was more in the soils of temperate zone than those of other zones. The soils of sub-tropical zones were low in available N, P, S and Zn and to some extent in K. Organic matter content, clay and silt content of the soil vis-à-vis cation exchange capacity were found to be the main factors controlling the available nutrient content of the studied soils.


Author(s):  
Anthony S. R. Juo ◽  
Kathrin Franzluebbers

In the natural world, plant species evolve and adapt to specific soil and climatic conditions. The productivity and stability of a natural soil-plant continuum or ecosystem are maintained through diversity, succession, and internal nutrient cycling. Hence, there are no rich soils or poor soils but different soils supporting different ecosystems. From an agricultural viewpoint, however, the term soil fertility may be defined as the capacity of a soil, under a given rainfall or water management regime, to support the growth of common food and fiber crops with minimum or no external inputs for a long period of time without adversely degrading the chemical, physical, and biological properties of the soil. Thus, a naturally fertile or productive soil usually possesses the following features: • good soil tilth or workability • adequate organic matter content in the surface layer • adequate permeability • adequate available water-holding capacity • slightly acidic to neutral pH • loamy-textured topsoil • moderate amounts of smectite and weatherable minerals Worldwide, the most fertile soils are prairie soils derived from glacial till, young alluvial soils in river valleys and deltas and high-base-status volcanic ash soils. These soils are also known as Mollisols, high-base-status Entisols and high-base- status Andisols, respectively, according to the Soil Taxonomy classification. At the other end of the scale are the so-called infertile soils. These are the highly weathered and strongly leached soils or “lateritic soils” of the tropics. Ultisols and Oxisols rich in kaolinite and Fe and Al oxides fall into this category. The soil fertility status of other types of soils falls in between these two groups. In general, parent material and stage of weathering are good indicators of soil fertility. Moderately weathered soils derived from basic parent rocks such as basalts and limestone and recent alluvial deposits are invariably more fertile than those derived from acidic parent rocks such as sandstone, quartzite, and coarse-grained granite. Strongly weathered soils generally have a low fertility because primary minerals containing plant nutrients such as Ca, Mg, and K have long disappeared through dissolution, acidification, and leaching. The dominant clay-size minerals in strongly weathered soils, kaolinite and Fe and Al oxides, possess little capacity to retain these cations.


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