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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Main Author: Mohammed Y. S. Al-Allaf
Format: Article
Language:Arabic
Published: College of Agriculture 2009-06-01
Series:Mesopotamia Journal of Agriculture
Online Access:https://magrj.mosuljournals.com/article_27417_861beb8653417a9cab5c3c6eaaa248e5.pdf
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author Mohammed Y. S. Al-Allaf
author_facet Mohammed Y. S. Al-Allaf
author_sort Mohammed Y. S. Al-Allaf
collection DOAJ
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.
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spelling doaj.art-18c1e95604c74ea48e8563835fa91a672022-12-21T17:58:14ZaraCollege 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
spellingShingle Mohammed Y. S. Al-Allaf
YIELD PREDICTION EQUATION FOR Pinus brutia Ten. PLANTATION IN SINJAR REGION
Mesopotamia Journal of Agriculture
title 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_short YIELD PREDICTION EQUATION FOR Pinus brutia Ten. PLANTATION IN SINJAR REGION
title_sort yield prediction equation for pinus brutia ten plantation in sinjar region
url https://magrj.mosuljournals.com/article_27417_861beb8653417a9cab5c3c6eaaa248e5.pdf
work_keys_str_mv AT mohammedysalallaf yieldpredictionequationforpinusbrutiatenplantationinsinjarregion