Frequency Analysis of Yield for Delineating Yield Response Zones

Abstract

The yield in any given field or management zone is a product of interaction between many soil properties and production inputs. Therefore, multi-year yield maps may give better insight into determining potential management zones. This research was conducted to develop a methodology to delineate yield response zones by using two-state frequency analysis conducted on yield maps for 3 years on two commercial corn fields near Wiggins, Colorado. A zone was identified by the number of years that yield was equal and greater than the average yield in a given year. Classes producing statistically similar yield were combined resulting in three potential yield zones. Results indicated that the variability of yield over time and space could successfully be assessed at the same time without the drawbacks of averaging data from different years. Frequency analysis of multi-year yield data could be an effective way to establish yield response zones. Seventeen percent of the field #1 consistently produced lower yield than the mean while 43% of the field produced yield over the mean. Corresponding values for field #2 were 6% and 42%. The remainder of the fields produced fluctuating yields between years. These spatially and temporally sound yield response maps could be used to identify the yield-limiting factors in zones where yield is either low or fluctuating. Yield response maps could also be helpful to delineate potential management zones with the help of resource zones such as electrical conductivity and soil maps, along with the directed soil sampling results.

Clustering of grape yield maps to delineate site-specific management zones

“…Once the maps have been constructed, various methodologies can be used for zonal delineation of a parcel using yield data from several years (Blackmore, 2000;Diker et al, 2004;Bocchi and Castrignanò, 2007). However, cluster analysis, used on a series of yield maps, is one of the most recommended classification methodologies to allow zoning at parcel level (Lark and Stafford, 1997;Lark, 1998;Panneton et al, 2001;Shatar and McBratney, 2001;Bramley and Hamilton, 2004;Ping and Dobermann, 2005;Taylor et al, 2007).…”

Geração de zonas de manejo para cafeicultura empregando-se sensor SPAD e análise foliar

“…Exemplos na literatura abrangem desde a utilização do conhecimento do agricultor (Fleming & Westfall, 2000), dados de produtividade (Diker et al, 2004;Brock et al, 2005;Flowers et al, 2005;Jaynes et al, 2005), amostragem de solo (Franzen et al, 2002;Vrindts et al, 2005), imagens (Stewart & Mcbratney, 2001;Taylor et al, 2002), sensores de indução eletromagnética e condutividade elétrica aparente (Hedley et al, 2004;Li et. al., 2008), espectrometria gama (Wong et al, 2008), até a combinação de alguns desses dados (Whelan et al, 2002;Godwin et al, 2003;Taylor et al, 2003;Fleming et al, 2004;Koch et al, 2004;Mallarino & Wittry, 2004;Schepers et al, 2005;Simbahan & Dobermann, 2006;Kyaw et al, 2008).…”

Managing Spatial and Temporal Variability in Irrigated Agriculture Through Adaptive Control

“…Either historical map-based or real-time sensor input based approaches may be used to delineate management zones. Field zoning for sitespecific agriculture has been successfully achieved by frequency analysis of multi-year yield data (Diker et al, 2004). Morphological and filtering tools can also be used in the delineation of management zones (Zhang & Taylor, 2000).…”