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Maximum daily trunk shrinkage is a common measurement in irrigation scheduling of fruit trees. But the strong relationship between these measurements and the environment severely limit field applications. Reference baselines are the solution for understanding the influence of environmental...
Persistent link: https://www.econbiz.de/10011047696
The scarcity of water for agricultural use is producing a generalization of deficit irrigations in most of the fruit trees. Regulated deficit irrigation in olive trees is scheduled with a period of water stress during the pit hardening phase with low or, even, no decrease in yield. During this...
Persistent link: https://www.econbiz.de/10011047891
Maximum daily shrinkage (MDS) is the parameter of daily cycle of trunk diameter most widely suggested in irrigation scheduling for several fruit trees. However, as in other plant-measured approaches, the irrigation decision may be difficult due to the influence of the environment on the values...
Persistent link: https://www.econbiz.de/10011047906
Pit hardening period is the phenological stage when water stress is recommended in regulated deficit irrigation (RDI) in olive trees. In table olive trees, fruit growth is a very important process which could affect the final profit of the yield. RDI scheduling based on water status measurements...
Persistent link: https://www.econbiz.de/10011116740
The unit-level small area estimation approach has no standard procedure and each case needs separate modeling when the domain parameters are not linear or the target variable is not normally distributed. Area-level linear mixed models can be generally applied to produce EBLUP estimates of linear...
Persistent link: https://www.econbiz.de/10011056558
Pearson's [chi]2 test, and more generally, divergence-based tests of goodness-of-fit are asymptotically [chi]2-distributed with m-1 degrees of freedom if the numbers of cells m is fixed, the observations are i.i.d and the cell probabilities and model parameters are completely specified. Jiang...
Persistent link: https://www.econbiz.de/10005223750
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The family of density power divergences is an useful class which generates robust parameter estimates with high efficiency. None of these divergences require any non-parametric density estimate to carry out the inference procedure. However, these divergences have so far not been used effectively...
Persistent link: https://www.econbiz.de/10010848682
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