Using a crop modeling tool, yield differences of different crop rotations and crops can be approximated and optimized solutions, with economical as well as ecological perspectives in view, can be found out.
We also performed a one-way ANOVA to compare seasonal differences in frequency of crop damage, along with a simple linear regression to determine if there were significant relationships between crop damage frequency and relative ungulate abundance at transects situated closest to croplands.
There were no net differences of seagrass standing crop during both sampled seasons, however at meadow level major differences were found, and higher biomass was obtained at T. ciliatum meadow, followed by T. hemprichii.
Other parts of the yield gap, however, are the result of differences in crop management practices, such as the amount of fertilizer used.
Modeling results indicated that differences in lignin content of crop inputs could influence SOM quantity and quality; hence, crop tissue-chemistry traits may also be important elements of design.
Difference between the hcH of crop- and grassland data seems to be greater (^χ 2 = 30.15) yet is still to be considered faint in comparison to the other combinations which reign within multitudes of hundreds.
Nutrient solution experiments likewise revealed marked differences in growth of crops.
Results showed that SIMBA-IC realistically simulated the differences between treatments in terms of crop cycle duration (for flowering date, RMSE = 2.3 weeks in the calibration and validation steps) and biomass produced (RMSE = 0.67 and 0.94 kgDM ha−1 at flowering in calibration and validation steps, respectively).
First, the impact of crop yield differences in the study area over the years can be investigated.
Cross-validated general linear models were used to assess the predictability of relative differences in crop yield and yield response to fertilizer, explicitly accounting for the effects of fertility treatments, between-field and within-field variabilities.
