YIELD PREDICTION EQUATION FOR Pinus brutia Ten. PLANTATION IN SINJAR REGION
Yield models for Pinus brutia Ten stands grown of Sinjar regionhas been prepared depending on data collected from 30 sample plots, the area of each plot was (0.25) ha. Different variables of each plot (volume / ha , dominant height , mean diameter and age)was measured and stepwise, multiple, and non...
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College of Agriculture
2009-06-01
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doaj-18c1e95604c74ea48e8563835fa91a672020-11-25T02:05:24ZaraCollege of AgricultureMesopotamia Journal of Agriculture1815-316X2224-97962009-06-0137219810310.33899/magrj.2009.2741727417YIELD PREDICTION EQUATION FOR Pinus brutia Ten. PLANTATION IN SINJAR REGIONMohammed Y. S. Al-AllafYield models for Pinus brutia Ten stands grown of Sinjar regionhas been prepared depending on data collected from 30 sample plots, the area of each plot was (0.25) ha. Different variables of each plot (volume / ha , dominant height , mean diameter and age)was measured and stepwise, multiple, and non-linear regressions were used to develop different equations . The dependent variables were yield per hectare while the independent variable were Age, H0, and Da in their original and transformed and combined forms. After screening of the developed equations the following one were selected,: V=-2.774+43050.7(1-e(-0.0002A)) R2=92.4 S.E%=306.13 as it give the best fit compared to the remaining equations. Since this study can be considered as on initial step in predicting the yield tables for pinus brutia Ten. Plantations, also, we were determining the mean annual increment and current annual increment , to find out the rotation of maximum volume production.https://magrj.mosuljournals.com/article_27417_861beb8653417a9cab5c3c6eaaa248e5.pdf |
collection |
DOAJ |
language |
Arabic |
format |
Article |
sources |
DOAJ |
author |
Mohammed Y. S. Al-Allaf |
spellingShingle |
Mohammed Y. S. Al-Allaf YIELD PREDICTION EQUATION FOR Pinus brutia Ten. PLANTATION IN SINJAR REGION Mesopotamia Journal of Agriculture |
author_facet |
Mohammed Y. S. Al-Allaf |
author_sort |
Mohammed Y. S. Al-Allaf |
title |
YIELD PREDICTION EQUATION FOR Pinus brutia Ten. PLANTATION IN SINJAR REGION |
title_short |
YIELD PREDICTION EQUATION FOR Pinus brutia Ten. PLANTATION IN SINJAR REGION |
title_full |
YIELD PREDICTION EQUATION FOR Pinus brutia Ten. PLANTATION IN SINJAR REGION |
title_fullStr |
YIELD PREDICTION EQUATION FOR Pinus brutia Ten. PLANTATION IN SINJAR REGION |
title_full_unstemmed |
YIELD PREDICTION EQUATION FOR Pinus brutia Ten. PLANTATION IN SINJAR REGION |
title_sort |
yield prediction equation for pinus brutia ten. plantation in sinjar region |
publisher |
College of Agriculture |
series |
Mesopotamia Journal of Agriculture |
issn |
1815-316X 2224-9796 |
publishDate |
2009-06-01 |
description |
Yield models for Pinus brutia Ten stands grown of Sinjar regionhas been prepared depending on data collected from 30 sample plots, the area of each plot was (0.25) ha. Different variables of each plot (volume / ha , dominant height , mean diameter and age)was measured and stepwise, multiple, and non-linear regressions were used to develop different equations . The dependent variables were yield per hectare while the independent variable were Age, H0, and Da in their original and transformed and combined forms. After screening of the developed equations the following one were selected,:
V=-2.774+43050.7(1-e(-0.0002A))
R2=92.4 S.E%=306.13
as it give the best fit compared to the remaining equations. Since this study can be considered as on initial step in predicting the yield tables for pinus brutia Ten. Plantations, also, we were determining the mean annual increment and current annual increment , to find out the rotation of maximum volume production. |
url |
https://magrj.mosuljournals.com/article_27417_861beb8653417a9cab5c3c6eaaa248e5.pdf |
work_keys_str_mv |
AT mohammedysalallaf yieldpredictionequationforpinusbrutiatenplantationinsinjarregion |
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