Mohammad saeed Hasanvandi; Mostafa Hosseinpour; Abazar Rajabi; Seyed Bagher Mahmoudi; Dariush Taleghani; Saeed Sadeghzadeh Hemayati; ghasem parmoon
Abstract
The present study has been conducted to compare new sugar beet cultivars for quantitative and qualitative traits in autumn sown condition as randomized complete block design at Safiabad agricultural and natural resources research and education center in 2017-2018. It has included 22 new sugar beet cultivar, ...
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The present study has been conducted to compare new sugar beet cultivars for quantitative and qualitative traits in autumn sown condition as randomized complete block design at Safiabad agricultural and natural resources research and education center in 2017-2018. It has included 22 new sugar beet cultivar, investigated in three replications. Measured traits included number of leaf in plant, root yield, sugar content, white sugar content, white sugar yield, extraction coefficient of sugar, sodium, potassium, α-amino nitrogen, molasses sugar, and alkaloid ratio. The results show that all the measured traits in the cultivars have differed significantly. Highest root yield and white sugar yield are obtained from Callas and Honey cultivars with 125 and 113 ton/ha root yield and 13.5 and 13.6 ton/ha white sugar yield, respectively. Highest sugar and white sugar content with 15.75% and 13.63% are obtained from Sporta. Highest and lowest extraction coefficient of sugar are related to Sporta (86.5%) and Sharif (72.6%), respectively. The range of sodium, potassium, and α-amino nitrogen content has been from 1.54 to 4.26, 2.25 to 3.95, and 1.78 to 3.22 mEq, respectively. In total, to achieve maximum income for the farmer it is recommended that Callas and Honey cultivars or other cultivars that are in the same group with these cultivars should be used to obtain maximum root and sugar yield.
Mohammad saeed Hasanvandi; Masoud Rafiee; Azimeh bagheri
Abstract
Growth analysis is a valuable method in the quantitative analysis of crop growth, development and cropproduction. In order to evaluate effects of nitrogen rates and plant density on physiological growth indicesof safflower, an experiment was conducted at Khorramabad, Lorestan province in 2008. The experimentwas ...
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Growth analysis is a valuable method in the quantitative analysis of crop growth, development and cropproduction. In order to evaluate effects of nitrogen rates and plant density on physiological growth indicesof safflower, an experiment was conducted at Khorramabad, Lorestan province in 2008. The experimentwas carried out as split plot in basis of randomized complete block design with four replications. Threenitrogen application rates were as main plots (N1=control, N2=75 and N3=150 kg/ha net nitrogen) andplant density was as sub plots in 3 levels (D1=40, D2=50 and D3=60 plant/m2). The growth degree dayindex 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 nitrogenled to increasing of growth indexes including leaf area, total dry matter and crop growth rate. But, netassimilation rate was reduced. Growth indexes such as, leaf area, total dry matter, did not change withincreasing plant density, due to branching of safflower. However, crop growth and net assimilation ratewere reduced in plants. Overall, the results show that applied nitrogen has a more positive effect onsafflower growth index compared to density changes.