Determination of Energy Input-Output Analysis in Plum (<Emphasis Type="Italic">Prunus domestica</Emphasis> L.) Production

The aim of this research is to compose the energy input-output analysis of plum in Nevsehir province in Turkey. This research was conducted at the plum cultivating facilities during the 2015–2016 production seasons in Nevsehir province of Central Anatolian Region in Turkey. The agricultural input energies and output energies used in plum cultivation were calculated to determine the energy input-output analysis. According to the research findings, the energy inputs in plum cultivation were calculated respectively 3920?MJ ha^?1 (44.99%) chemical fertilizers energy, 1618.91?MJ ha^?1 (18.58%) diesel fuel energy, 1125.85?MJ ha^?1 (12.92%) chemicals energy, 1069.20?MJ ha^?1 (12.27%) machinery energy, 723.24?MJ ha^?1 (8.30%) human labour energy and 255?MJ ha^?1 (2.93%) irrigation water energy. Production output plum yield were calculated as 12,112.50?MJ ha^?1. The energy output/input ratio, specific energy, energy usage efficiency and net energy calculations were calculated respectively as 1.39, 1.37?MJ kg^?1, 0.73?kg MJ^?1 and 3400.30?MJ ha^?1.     

持续干旱下天山野生杏幼苗渗透调节物质的累积特性

以新疆伊犁地区的4类野生杏(野生甜仁杏1号、野生甜仁杏2号,野生苦仁杏1号、野生苦仁杏2号)为材料,研究其在干旱胁迫下渗透调节物质的积累特性.对二年生天山野杏苗进行持续80 d的田间自然干旱处理过程中,每隔20 d取样分析土壤相对含水量(SRWC)及叶片相对含水量(LRWC),Na+,K+和可溶性蛋白质、可溶性糖以及脯...     

Fatty acid, triacylglycerol, phytosterol, and tocopherol variations in kernel oil of Malatya apricots from Turkey

The fatty acid, sn-2 fatty acid, triacyglycerol (TAG), tocopherol, and phytosterol compositions of kernel oils obtained from nine apricot varieties grown in the Malatya region of Turkey were determined ( P<0.05). The names of the apricot varieties were Alyanak (ALY), Cataloglu (CAT), C?loglu (COL), Hacihaliloglu (HAC), Hacikiz (HKI), Hasanbey (HSB), Kabaasi (KAB), Soganci (SOG), and Tokaloglu (TOK). The total oil contents of apricot kernels ranged from 40.23 to 53.19%. Oleic acid contributed 70.83% to the total fatty acids, followed by linoleic (21.96%), palmitic (4.92%), and stearic (1.21%) acids. The s n-2 position is mainly occupied with oleic acid (63.54%), linoleic acid (35.0%), and palmitic acid (0.96%). Eight TAG species were identified: LLL, OLL, PLL, OOL+POL, OOO+POO, and SOO (where P, palmitoyl; S, stearoyl; O, oleoyl; and L, linoleoyl), among which mainly OOO+POO contributed to 48.64% of the total, followed by OOL+POL at 32.63% and OLL at 14.33%. Four tocopherol and six phytosterol isomers were identified and quantified; among these, gamma-tocopherol (475.11 mg/kg of oil) and beta-sitosterol (273.67 mg/100 g of oil) were predominant. Principal component analysis (PCA) was applied to the data from lipid components of apricot kernel oil in order to explore the distribution of the apricot variety according to their kernel's lipid components. PCA separated some varieties including ALY, COL, KAB, CAT, SOG, and HSB in one group and varieties TOK, HAC, and HKI in another group based on their lipid components of apricot kernel oil. So, in the present study, PCA was found to be a powerful tool for classification of the samples.     

Determination of Energy Use Efficiency and Greenhouse Gas (GHG) Emissions of Pistachio (Pistacia vera L.) Production in Adıyaman Province

The purpose of this research is to perform the energy use efficiency and greenhouse gas (GHG) emissions of pistachio production. This research was performed for 2016 and 2017 production season in Ad?yaman province of Turkey in dry conditions in 2017. The data supplied from research were collected from 152 different farms by face to face surveys with simple random sampling method. The agricultural input energies and output energies used in pistachio production were computed to determine the energy use efficiency. According to the research findings, the energy inputs in pistachio production were computed respectively as 4561.11?MJ ha^?1 (35.50%) diesel fuel energy, 3206.24?MJ ha^?1 (24.96%) chemical fertilizers energy, 2420.93?MJ ha^?1 (18.84%) machinery energy, 1020.06?MJ ha^?1 (7.94%) human labour energy, 715.69?MJ ha^?1 (5.57%) animal labour energy, 656.95?MJ ha^?1 (5.11%) farmyard manure energy and 266.16?MJ ha^?1 (2.07%) chemicals energy. Total input energy was computed as 12,847.14?MJ ha^?1. Energy values of pistachio yield were computed as 15,008.65?MJ ha^?1. Energy use efficiency, specific energy, energy productivity and net energy computations were computed respectively as 1.17, 22.32?MJ kg^?1, 0.04?kg MJ^?1 and 2161.51?MJ ha^?1. The consumed total energy input in pistachio production can be classified as 49.01% direct, 50.99% indirect, 18.62% renewable and 81.38% non-renewable. Total GHG emission was computed as 1123.72?kg CO_2?eqha^?1 for pistachio production with the greatest portions for human labour (32.42%). The human labour followed up chemical fertilizers usage (23.21%), diesel fuel consumption (19.89%), machinery usage (15.30%), farmyard manure usage (5.65%), chemicals usage (3.25%) and animal labour usage (0.27%), respectively. Additionally, GHG ratio value was computed as 1.95 kgCO_2?eqkg^?1 in pistachio production.

     

Combined Application of Biochar and Biocontrol Agents Enhances Plant Growth and Activates Resistance Against Meloidogyne incognita in Tomato

Gesunde Pflanzen - Biochar (BC) is known to enhance plant growth and may activate plant resistance to various soil borne pathogens. In this experiment, the rice husk (RH) BC was combined with...     

Deficit irrigations during soybean reproductive stages and CROPGRO-soybean simulations under semi-arid climatic conditions

This study was carried out to determine the effect of water stress on five different generative stages of soybeans and to evaluate the CROPGRO-soybean model under semi-arid climatic conditions. The study was conducted at the Faculty of Agricultural Engineering, Harran University research field in 2003 and 2004 growing seasons. Plants received full irrigation during vegetative stages, after which it was cut off at different reproductive stages (treatments): R_1-2, beginning of flowering and full bloom; R₃, beginning of pod; R₄, full pod; R₅, beginning of seed; and R₆, full seed. The control treatment was full irrigation throughout. Observed yields ranged from 1955 (R₆) to 3684 kg ha⁻¹ (control) in 2003, and from 1867 (R₆) to 3952 kg ha⁻¹ (control) in 2004, respectively. Generally, in both of the years any water stress imposed on soybeans in three different generative stages (R₃, R₅, and R₆) resulted in substantial yield reduction compared with full irrigation; yield reduction was greatest at the R₆ stage. Biomass and 1000 seed weight also showed significant difference. Overall, CROPGRO-soybean simulated parameters from all treatments were higher compared with observed ones. Although simulated yield results were close to measured ones, they could not track observed yield patterns. Generally, the CROPGRO-soybean simulation model failed to satisfactorily mimic observed soybean yield, biomass, and 1000 seed weight and therefore it is suggested not to be used for similar scenarios and climatic conditions.     

Determining the Energy Usage Efficiency of Walnut (<Emphasis Type="Italic">Juglans Regia</Emphasis> L.) Cultivation in Turkey

The aim of this study is to reveal the energy balance of walnut in Central Anatolian Region in Turkey. This study has been conducted at the walnut cultivating facilities during the 2014–2015 production season in K?r?ehir, Konya, Nev?ehir and Ni?de provinces of Central Anatolian Region in Turkey, where walnut cultivation is intense. In the study, a total of 28 walnut cultivation facilities, yielding walnut, have been selected through Neyman method and surveys and observations have been performed in these facilities. The agricultural input energies and output energies used in walnut cultivation have been calculated to define the energy use efficiency. According to the study findings, the energy inputs in walnut cultivation are calculated respectively 17,851.33?MJ ha^?1 (74.40%) chemical fertilizer energy, 2229.87?MJ ha^?1 (9.29%) fuel energy, 1640.64?MJ ha^?1 (6.83%) irrigation water energy, 1539?MJ ha^?1 (6.41%) machine energy, 508.02?MJ ha^?1 (%2.11) chemical energy, 180.35?MJ ha^?1 (0.75%) human labour energy and 43.33?MJ ha^?1 (0.18%) farm manure energy. Production outputs have been calculated as 14,679.52?MJ ha^?1. Following the energy calculations, the output/input ratio, specific energy, energy efficiency and net energy calculations have been calculated respectively as 0.61, 30.20?MJ kg^?1, 0.03?kg MJ^?1 and ?9313.02?MJ ha^?1. Benefit-cost ratio was calculated as 1.88, by dividing the gross value of production by the total cost of production per hectare in walnut production.