SAFFLOWER GROWTH ANALYSIS USING REGRESSION MODELING

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HASANVANDI MOHAMMAD SAEED; RAFIEE MASOUD; BAGHERI AZIMEH

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Journal Paper

Paper Information

Journal: JOURNAL OF CROPS IMPROVEMENT (JOURNAL OF AGRICULTURE) Year:2013 | Volume:15 | Issue:3 Page(s): 27-37

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Information Journal Paper

Title

SAFFLOWER GROWTH ANALYSIS USING REGRESSION MODELING

Author(s)

HASANVANDI MOHAMMAD SAEED | RAFIEE MASOUD | BAGHERI AZIMEH | Issue Writer Certificate

Keywords

LEAF AREAQ3

NITROGENQ2

NONQ1

LINEAR REGRESSIONQ2

PHYSIOLOGIC GROWTH INDEXQ2

PLANT DENSITYQ2

Abstract

Growth analysis is a valuable method in the quantitative analysis of crop growth, development and crop production. In order to evaluate effects of NITROGEN rates and PLANT DENSITY on physiological growth indices of safflower, an experiment was conducted at Khorramabad, Lorestan province in 2008. The experiment was carried out as split plot in basis of randomized complete block design with four replications. Three NITROGEN application rates were as main plots (N1=control, N2=75 and N3=150 kg/ha net NITROGEN) and PLANT DENSITY was as sub plots in 3 levels (D1=40, D2=50 and D3=60 plant/m2). The growth degree day index was used to examine more closely fitting growth curves using NON-linear regression models. Appropriate model was selected for each growth index. The results showed that application of NITROGEN led to increasing of growth indexes including LEAF AREA, total dry matter and crop growth rate. But, net assimilation rate was reduced. Growth indexes such as, LEAF AREA, total dry matter, did not change with increasing PLANT DENSITY, due to branching of safflower. However, crop growth and net assimilation rate were reduced in plants. Overall, the results show that applied NITROGEN has a more positive effect on safflower growth index compared to density changes.

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APA: Copy

HASANVANDI, MOHAMMAD SAEED, RAFIEE, MASOUD, & BAGHERI, AZIMEH. (2013). SAFFLOWER GROWTH ANALYSIS USING REGRESSION MODELING. JOURNAL OF CROPS IMPROVEMENT (JOURNAL OF AGRICULTURE), 15(3), 27-37. SID. https://sid.ir/paper/209233/en

Vancouver: Copy

HASANVANDI MOHAMMAD SAEED, RAFIEE MASOUD, BAGHERI AZIMEH. SAFFLOWER GROWTH ANALYSIS USING REGRESSION MODELING. JOURNAL OF CROPS IMPROVEMENT (JOURNAL OF AGRICULTURE)[Internet]. 2013;15(3):27-37. Available from: https://sid.ir/paper/209233/en

IEEE: Copy

MOHAMMAD SAEED HASANVANDI, MASOUD RAFIEE, and AZIMEH BAGHERI, “SAFFLOWER GROWTH ANALYSIS USING REGRESSION MODELING,” JOURNAL OF CROPS IMPROVEMENT (JOURNAL OF AGRICULTURE), vol. 15, no. 3, pp. 27–37, 2013, [Online]. Available: https://sid.ir/paper/209233/en

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