aaaa12345
Concur with Melo. But I would prune 1/3 of all growth. It's the most you want to prune any tree. It does not help having excessive vegetive growth without a root system to sustain it. So take it off. And I strongly recommend organic fertilizers. The great thing about organics is that you grow a healthier tree and the risk of over-fertilizing is low. Call your local agriculture supply or nusery supply and ask what they recommend from their stock - different supply in different stores. The tree needs high levels of nitrogen (N) and phosphorus (P) to invigorate root growth and vegetive and leaf growth immediately. Later on after the tree recovers you will increase potassium (K) to aid the flowering and fruiting. You will learn the NPK percentages. Chicken manure is like gold for citrus. I add it straight from the coop to the citrus trees. But you can buy it in pellets (it does not stink unless you let it get wet so keep it dry until use). Another great product is Jersey green sand. This is added to keep the soil loose and soft for excellent drainage. Rarely though can you find them in small quanities usu. 50 lb.bags. It will be rewarding. If money is an issue then start with just the high NP and keep the chicken manure (about $15 per 50lb.) around and add it occasionally. Lastly. Put a couple layers of cardboard down around the root ball and then cover the cardboard with wood chips (cardboard will disintegate over time.) This step prevents weeds from growing and interfering with the root system and also this helps keep the ground moist which saves water. Water frequently. GOOD LUCK.
1. No apples left on tree?
Were you hitting them off with a cricket bat like my young cousin?
2. Is the empty graph a tree?
In Bourbaki's terminology, the empty graph is a tree - cf. LIE.IV.Annex.3
3. POLL what is a halloween tree?
yule caus its a time for the kin and we are all at the same time yet halloween all and sundry's out with their friends.additionally the supplies and merely the completed day. Like each and every thing is purple and eco-friendly there is yule lights and timber its merely beautifiul.
4. Is there a use for cottonwood tree wood?
They make good shade trees or another tree to have around the yard. They are not very good for any other uses but for just the sake of having trees in the yard!
5. How do tree fellers make a tree fall where they intend it to fall?
It's all about physics really the way tree is learning, which side is the most weight on. You can put a rope in the top of it and pull it with a tractor but if it's really leaning to one side it might have to be pieced down with a Crain or other type of equipment
6. Is this NIM game tree correct?
The game that you outline, while it can be handled by the same Sprague-Grundy Theory that is used for Nim (and therefore can have a nim-value assigned to every position), is better known as Grundy's Game; note that there's no legal move on a heap of size 1 (since it can not be divided into two heaps) and no legal move on a heap of size 2 (since it can not be divided into two unequal heaps). As perhaps a bit more of a curiosity, while it was once conjectured that the game was periodic, its value has now been calculated for more than 30 billion starting heap sizes without any periodicity having been found
7. how tall is this tree?
Set this up as a ratio: Pole height : Pole shadow = Tree height : Tree shadow 3 is to 4 as x is to 28 3/4 = x/28 x = 28 * 3/4 x = 21 So the tree is 21m tall.
8. Difference between regression tree and autoregressive tree model
An autoregressive model is any regression model (linear or non-linear) where the inputs to the model are past values of the output variable. For example, a regression model to predict sales for this week $S_T$: $S_T = f(price, promotion, season)$ - here the input variables are different from the output variable. An auto-regressive model would look more like: $S_T = f(S_T-1, S_T-2, S_T-3)$ - here the input variables are past observations of the output variable, with $S_T-1, S_T-2, S_T-3$ being the sales from last week, two weeks ago, and three weeks ago. Most auto-regressive models are linear models, see AR, ARMA and ARIMA models. But they can be non liner as well. An autoregressive tree model would be non-linear