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Annicchiarico, P. (1997): Joint regression vs AMMI analysis of genotype-environment interactions for cereals in Italy. Euphytica , 94 , 53–62. Annicchiarico P. Joint regression vs

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Community Ecology
Authors:
L.T. Waser
,
S. Stofer
,
M. Schwartz
,
M. Küchler
,
E. Ivits
, and
C. Scheidegger

Lehmann, A., J. M. Overton and M. P. Austin. 2002. Regression models for spatial prediction: their role for biodiversity and conservation. Biodiversity and Conservation 11: 2085-2092. Regression models for spatial prediction

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, A. B. & Chittleborough , D. J., 1995. Further results on prediction of soil properties from terrain attributes: heterotopic cokriging and regression-kriging. Geoderma. 67 . 215–226. Chittleborough D J

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Twenty wheat varieties were analyzed to assess the contribution of 40-year breeding process to the advancement of wheat technological quality. A trial using a randomized block design with three replications was carried out during five growing seasons (2001–2005) that varied in temperature and rainfall conditions. Changes of quality were analyzed in the varieties from different breeding periods using linear regression analysis. Changes of quality indicators were expressed by regression coefficients. The studied varieties were released at 3–4-year intervals. The annual changes in genetic potentials were as follows: protein content — −0.03%, wet gluten — −0.14%, farinograph absorption — 0.04%, dough energy — 1.53 cm 2 , loaf volume — 2.94 ml, and baking score — 0.07. The decreases in the protein and wet gluten contents were compensated for by an improvement in protein quality. The increase in gluten structure stability and appropriate combinations of high molecular weight glutenin subunits have contributed to the improvement of other quality indicators.

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This study investigated microhabitat relationships of terrestrial bryophytes in a subalpine forest of coastal British Columbia. Substratum affinities were characterized for dominant bryophytes. Logistic regression analysis was used to gain insight into the ecological determinants of fine scale (0.1 m2) bryophyte distribution by examining the predictive relationship between bryophyte species occurrence and localized environmental conditions, as well as the coverage of other bryophytes. The predictive relationships were compared to evaluate the relative importance of environmental factors versus interspecific interactions in structuring bryophyte communities. The results indicate that bryophytes show unique responses in their relationships to environmental conditions and other bryophytes. Positive feedback appears to be an important process among terrestrial bryophytes in subalpine forests.

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The phosphorus retention ability of soils depends on several factors and influences the effectiveness of fertilization as well as the release of P from soil to water. In the present study the phosphorus supplying and/or retention ability of soils were estimated by two approaches: biological approach (pot experiments) and modelling (by regression analyses). In the course of the biological approach pot experiments were carried out with soils showing significant differences in total and available P contents. Soil samples were collected from selected plots of 9 sites of the National Long-Term Fertilization Trials (NLFT) after 20 years of fertilization, which represents different agro-ecological regions of Hungary. Site characteristics covered a wide range in pH, carbonate and P content, representing typical soil types of the country. With the statistical approach (modelling), the most important soil properties were included and the role of these factors was evaluated by stepwise regression analyses. From the equations, the contribution of important soil parameters to phosphorus supplying and retention ability could be quantified. The objective of the present study was to find a simple way to compare and evaluate the two approaches in P nutrient turnover of soils. Results of the two approaches were correlated. From these results, a rank correlation was also made from the experimental and calculated results. A very close relationship was observed for the P supply and retention of soils (r value was 0.918 for the N 0 P 0 K 0 unfertilized control and 0.927 for the N 200 P 200 K 100 fertilization level). Values obtained with rank correlation were 0.87 and 0.866, respectively, verifying that both methodologies are reliable for estimating the nutrient dynamics in soils and to predict P dynamics in a diverse range of soils.

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. Corsi, S. E. van Wieren and I. Sobhan. 2007. Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression. International J. Applied Earth Observation Geoinformation 9

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://www.metoffice.gov.uk/public/weather/climate/gcnx0z9e5. [Accessed 08/06/2016] Menard , S. 1995 . Applied Logistic Regression Analysis . Sage, Thousand Oaks

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regression and GGE biplot analyses to identify stable and high yielding maize hybrids . Field Crop Res. 119 : 225 – 230 . Asfaw , A. , Alemayehu , F. , Gurum , F. , Atnaf , M

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services in urban areas . Ecol. Econ. 29 : 293 – 301 . Cleveland , W. S. and S.J. Devlin . 1988 . Locally weighted regression: an approach to regression analysis by local fitting . J

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