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Problem: Many agronomic experiments, such as those carried out in the SolACE Project, are designed to vary a single factor, with all other conditions being equal. This can be limiting in what can be measured in one experiment, at one time. Opposingly, an agroecological approach is based on using and measuring several factors in the same field, adapted to various pedoclimatic conditions and objectives. This is also a limitation, as pedoclimates can often vary across short distances on-farm, at different times during the year. Solution: The ���Diagchamp method��� is a diagnostic, holistic approach to identify and hierarchize the limiting factors of final crop yield directly in the farmer���s fields by comparing crop growth to a climatic potential. The user of this method can compare results from agronomic experiments against agronomic diagnoses. Retrieving an agronomic diagnosis is done by choosing a sample field (Figure 1) and assessing multiple agronomic factors (Figure 2). This creates a baseline that suggests what the potential output of the field could be, based on the field data taken previously, which can then be compared with the actual production yields.
SolACEPA
SolACEPA
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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