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Within-field variations in sugar beet yield and quality and their correlation with environmental variables in the East of England

https://doi.org/10.1016/j.eja.2017.05.007

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Geostatistics for Environmental Scientists

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GenStat

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Geostatistical Applications for Precision Agriculture

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Precision in Crop Farming

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Spatial patterns of wilting in sugar beet as an indicator for precision irrigation

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Underlying causes of yield spatial variability and potential for precision management in rice systems

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Spatial interpretation of plant parameters in winter wheat

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ICUMSA methods of sugar analysis

inferredcites →https://doi.org/10.1016/j.apsoil.2011.08.008openalex-snapshot

The effect of soil heterogeneity on the spatial distribution of Heterodera schachtii within sugar beet fields

inferredcites →https://doi.org/10.1016/j.apsoil.2013.11.013openalex-snapshot

The positive relationship between soil quality and crop production: A case study on the effect of farm compost application

inferredcites →https://doi.org/10.1016/j.catena.2013.09.006openalex-snapshot

A tutorial guide to geostatistics: Computing and modelling variograms and kriging

inferredcites →https://doi.org/10.1016/j.ecolind.2013.08.009openalex-snapshot

Estimation of soil organic matter by geostatistical methods: Use of auxiliary information in agricultural and environmental assessment

inferredcites →https://doi.org/10.1016/j.eja.2005.05.001openalex-snapshot

Effects of weather variables on sugar beet yield development (Beta vulgaris L.)

inferredcites →https://doi.org/10.1016/j.eja.2013.03.003openalex-snapshot

Yield variation of spring cereals in relation to selected soil physical properties on three clay soil fields

inferredcites →https://doi.org/10.1016/j.geoderma.2013.02.001openalex-snapshot

Functional soil mapping for site-specific soil moisture and crop yield management

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Spatial multi-scale variability of soil nutrients in relation to environmental factors in a typical agricultural region, Eastern China

inferredcites →https://doi.org/10.1016/j.spasta.2012.02.001openalex-snapshot

Towards soil geostatistics

inferredcites →https://doi.org/10.1016/s1537-5110(03)00005-9openalex-snapshot

Soil Factors and their Influence on Within-field Crop Variability, Part II: Spatial Analysis and Determination of Management Zones

inferredcites →https://doi.org/10.1017/cbo9781139627061openalex-snapshot

Multivariate Analysis of Ecological Data using CANOCO 5

inferredcites →https://doi.org/10.1038/186022b0openalex-snapshot

Plant Population and Crop Yield

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Modelling topographic variation in solar radiation in a GIS environment

inferredcites →https://doi.org/10.1093/jxb/erp110openalex-snapshot

Capture and use of solar radiation, water, and nitrogen by sugar beet (Beta vulgaris L.)

inferredcites →https://doi.org/10.1111/j.1365-3180.1992.tb01906.xopenalex-snapshot

An eco‐physiological model for interspecific competition, applied to the influence of Chenopodium album L. on sugar beet. II. Model evaluation

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Modelling the variability of UK sugar beet yields under climate change and husbandry adaptations

inferredcites →https://doi.org/10.1111/wre.12184openalex-snapshot

Designing a sampling scheme to reveal correlations between weeds and soil properties at multiple spatial scales

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Geostatistics for Environmental Scientists

inferredcites →https://doi.org/10.1201/9780203739433openalex-snapshot

Soil Analysis Handbook of Reference Methods

inferredcites →https://doi.org/10.1201/9781420005271.ch55openalex-snapshot

Particle Size Distribution

inferredcites →https://doi.org/10.13140/rg.2.2.26442.31680openalex-snapshot

Remote Sensing for Detection of Rhizoctonia Crown and Root Rot in Sugar Beet and the Impact of the Disease on Chlorophyll Content

inferredcites →https://doi.org/10.1590/s0100-06832013000500002openalex-snapshot

Optimization of the sampling scheme for maps of physical and chemical properties estimated by kriging

inferredcites →https://doi.org/10.1614/0043-1745(2002)050[0281:rmaiws]2.0.co;2openalex-snapshot

Review: Multivariate analysis in weed science research

inferredcites →https://doi.org/10.1890/0012-9623(2005)86[201:maoedu]2.0.co;2openalex-snapshot

Multivariate Analysis of Ecological Data Using CANOCO

inferredcites →https://doi.org/10.36334/modsim.2011.c2.scannavinoopenalex-snapshot

Spatial variability on soil pH gradient: A case study in vineyards

inferredcites →https://doi.org/10.36334/modsim.2021openalex-snapshot

MODSIM2021, 24th International Congress on Modelling and Simulation.

inferredcites →https://doi.org/10.4324/9780203128329openalex-snapshot

Precision Agriculture for Sustainability and Environmental Protection

inferredcites →https://doi.org/10.4324/9780203128640openalex-snapshot

Field Sampling for Environmental Science and Management

inferredcites →https://doi.org/10.5274/jsbr.41.1.47openalex-snapshot

Delineating Nitrogen Management Zones in a Sugarbeet Rotation Using Remote Sensing - A Review

inferredcites →https://doi.org/10.5281/zenodo.1079573openalex-snapshot

Simulation Of Organic Matter Variability On A Sugarbeet Field Using The Computer Based Geostatistical Methods

inferredcites →https://doi.org/10.5860/choice.31-3799openalex-snapshot

Soil sampling and methods of analysis

inferredcites →https://doi.org/10.5860/choice.52-0272openalex-snapshot

Precision agriculture for sustainability and environmental protection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4685987openalex-extracted

Co-Application Effectiveness of Urea Fertilizer and Herbicides in Controlling Weeds and Increasing Quality-Based Productivity in Sugar Beet

inferred← citeshttps://doi.org/10.1007/s12355-020-00874-3openalex-snapshot

Sugarcane Harvester for In-field Data Collection: State of the Art, Its Applicability and Future Perspectives

inferred← citeshttps://doi.org/10.1016/j.cropro.2024.107055openalex-snapshot

Spatial relationship of weeds with soil properties in wheat field using geostatistical methods

inferred← citeshttps://doi.org/10.1186/s42269-025-01327-1openalex-snapshot

Enhancing sugar beet quality and productivity under the effects of co-application of urea and herbicides on weed control and crop performance

inferred← citeshttps://doi.org/10.1590/1809-4430-eng.agric.v39nep109-117/2019openalex-snapshot

SPATIAL VARIABILITY MAPPING OF SUGARCANE QUALITATIVE ATTRIBUTES

inferred← citeshttps://doi.org/10.17221/325/2020-pseopenalex-snapshot

Within-field variability of plant and canopy traits of sugar beet and their relation to individual root mass during harvest

inferred← citeshttps://doi.org/10.2134/agronj2018.05.0318openalex-snapshot

Regulated Deficit Irrigation at Special Development Stages Increases Sugar Beet Yield

inferred← citeshttps://doi.org/10.24326/as.2023.5328openalex-snapshot

Termin siewu czynnikiem determinującym budowę przestrzenną i plonowanie łanu buraka cukrowego

inferred← citeshttps://doi.org/10.33448/rsd-v10i13.21294openalex-snapshot

Qualidade de beterraba de mesa (Beta vulgaris) em função de fontes e doses de potássio

inferred← citeshttps://doi.org/10.3390/agriengineering8070298openalex-snapshot

Remote Sensing Applications in Sugar Beet Production: From Crop Monitoring to Precision Management

inferred← citeshttps://doi.org/10.3920/978-90-8686-916-9_113openalex-snapshot

113. Predicting the probability that higher profits could be achieved by adopting PA

inferred← citeshttps://doi.org/10.55213/kmujens.1315139openalex-snapshot

Farklı Lokasyonlarda Yetiştirilen Şeker Pancarı Bitkisinin (Beta vulgaris L.) Bazı Morfolojik ve Teknolojik Karakterlerinin Hasat Zamanlarına Göre Değişiminin İncelenmesi

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