+ Translate

A comparison of two methods to predict the landscape-scale variation of crop yield

, : A comparison of two methods to predict the landscape-scale variation of crop yield. Soil and Tillage Research 58(3/4): 163-181

Our objective was to compare the results of two approaches, analysis of covariance (ANCOVA) and state-space modelling to determine the factors affecting grain yield in three crop rotations (pea (Pisum sativum)-wheat (Triticum aestivum)-barley (Hordeum vulgare), rape (Brassica napus)-wheat-barley, and wheat-wheat-barley) at two sites in Saskatchewan, Canada.

Accession: 003342146

DOI: 10.1016/s0167-1987(00)00166-5

Download PDF Full Text: A comparison of two methods to predict the landscape-scale variation of crop yield

Submit PDF Full Text

No spam - Every submission is manually reviewed

Due to poor quality, we do not accept files from Researchgate

Submitted PDF Full Texts will always be free for everyone
(We only charge for PDFs that we need to acquire)

Select a PDF file:

Related references

Papiernik, S.K.; Lindstrom, M.J.; Schumacher, J.A.; Farenhorst, A.; Stephens, K.D.; Schumacher, T.E.; Lobb, D.A., 2005: Variation in soil properties and crop yield across an eroded prairie landscape. Intensive tillage moves large quantities of soil, resulting in a pattern of soil redistribution where topsoil is depleted from convex slope positions and deposited in concave positions. In these experiments, the variation in erosion estimates, pro...

Vyska, M.; Cunniffe, N.; Gilligan, C., 2016: Trade-off between disease resistance and crop yield: a landscape-scale mathematical modelling perspective. NlmCategory="UNASSIGNED">The deployment of crop varieties that are partially resistant to plant pathogens is an important method of disease control. However, a trade-off may occur between the benefits of planting the resistant variety...

Cullinan, V.I.; Thomas, J.M., 1992: A comparison of quantitative methods for examining landscape pattern and scale. Landscape Ecology 7(3): 211-227

Blagoveshchenskiy, Yu. N.; Samsonova, V.P., 2007: Simulation of the effect of spatial variation in soil properties on crop yield (at a field scale). Yield losses due to the spatial variation of environmental conditions were evaluated using mathematical simulation. It was shown that the average factor value can frequently produce illusion of favorable conditions, although losses caused by a lac...

Park, S.; Hwang, C.; Vlek, P., 2005: Comparison of adaptive techniques to predict crop yield response under varying soil and land management conditions. Decision-making processes in agriculture often require reliable crop response models to assess the impact of specific land management. While process-based models are often preferred over empirical ones in current modelling communities, empirical c...

Lokupitiya, R.S.; Lokupitiya, E.; Paustian, K., 2006: Comparison of missing value imputation methods for crop yield data. Most ecological data sets contain missing values, a fact which can cause problems in the analysis and limit the utility of resulting inference. However, ecological data also tend to be spatially correlated, which can aid in estimating and imputing...

Madry, W.; Kozak, M., 2001: Path analysis and sequential yield analysis in studies on dependencies between yield and crop traits: Part II. Applying the methods and results comparison for winter triticale. Two methods (single path analysis and sequential yield analysis) for investigating relationships between yield and crop traits are compared. Both methods have been used to estimate and interpret relationships between grain yield per m2 of winter t...

Schreeg, L.A.; Kobe, R.K.; Walters, M.B., 2002: Morphological traits of tree seedlings predict variation in species performance consistent with landscape variation in northern lower Michigan. Ecological Society of America Annual Meeting Abstracts 87: 258-259

Shah, C.H., 1962: Comparison of yield estimates prepared on the basis of traditional and crop-cutting methods. Based on the data collected for a research project on long-term trends in farm production in India, undertaken by the Agricultural Economics Section (University of Bombay), this paper attempts a statistical comparison of per acre yields of major f...

Gonzalez-Quevedo, C.; Davies, R.G.; Phillips, K.P.; Spurgin, L.G.; Richardson, D.S., 2016: Landscape-scale variation in an anthropogenic factor shapes immune gene variation within a wild population. Understanding the spatial scale at which selection acts upon adaptive genetic variation in natural populations is fundamental to our understanding of evolutionary ecology, and has important ramifications for conservation. The environmental factors...