OPTIMIZING THE RETURN FROM A JOJOBA PLANTATION UNDER SCARCE DATA CONDITIONS1

ABSTRACT: There is a serious shortage of yield data for Jojoba (SIMMONDSIA CHINENSIS) from mature and cultivated plantations of ten years or older. Thus, the optimal quantities of water and fertilizers that are needed annually by a Jojoba plantation to achieve maximum profits were estimated from existing plantations. A computer model (IMSL subroutine ZXMWD) was used to determine a Mitscherlich yield function. An economic profit model that incorporates the yield function was then designed to maximize the profits. According to the net present value (NPV) criterion, the maximum yearly net profit is about $7800 per ha, which is achieved during the 11th growth year. The computed cumulative NPV is approximately $21,000 per ha for the entire 15-year period. Similar profits were calculated when the model was tested to examine the NPV using different assumptions with respect to varying costs.     

DETERMINATION OF UNGAGED TRIBUTARY FLOWS AND INTERSEGMENTAL RESERVOIR FLOWS USING SPREADSHEET SOFTWARE1

ABSTRACT: Spreadsheet software was utilized on two related large scale trial and error problems. Gaged streamflow data and known reservoir volumes were used to construct a daily continuity balance in order to estimate the daily mean flows from ungaged portions of a study watershed over one year. Watershed yield coefficients were determined for two diverse types of watersheds with and without significant ground water contribution. Subsequently, a spreadsheet template was devised to ensure than an EPA supported water quality model, WASP, would successfully model the actual segmental volumes of a flood control reservoir. Inlet, outlet, and intersegmental advective flows were determined on a two week average basis using a continuity balance, segmental routing, and known segmental volumes. The protocols described relate the use of microcomputers to the resolution of hydraulic and hydrologic problems requiring iterative solutions.     

有机肥施用量与蔬菜硝酸盐和重金属关系初探

为控制施肥对蔬菜和土壤的负面影响,探讨蔬菜合理的有机肥施用量,在不同质地土壤上,田间试验小白菜、苦瓜、豇豆三种蔬菜施不同量有机肥,收获时测定其产量、品质、硝酸盐、重金属及试验前后土壤有机质含量。结果表明,(1)在施适量无机NPK的条件下,每造蔬菜的有机肥施用量(禽畜粪便,下同),砂土上小白菜为4500kg/hm2、苦瓜和豇豆为3000kg/hm2;壤土上,小白菜和苦瓜均宜施3000kg/hm2,豇豆则宜施4500kg/hm2;粘土上,小白菜每造只宜施1500~3000kg/hm2的有机肥。(2)有机肥必须与无机肥合理配合施用,才能获得最佳的产量和品质效果,在砂土上有机肥施得越多,蔬菜的硝酸盐含量越高,其它土壤也有类似趋势。(3)施高量(7500kg/hm2)有机肥的小白菜重金属含量最高,其次是施中量(3000kg/hm2)有机肥的,尤其是Cd。(4)施有机肥3000~4500kg/hm2 适量无机肥可使土壤有机质水平保持在种植蔬菜前的含量水平,该施肥量和方式不仅可使蔬菜高产、优质,还有利于保护土壤肥力。     

乳源优质白肋烟因土施肥技术研究

通过田间试验，研究乳源县砂泥田和红火泥地氮、磷、钾养分的供应特性；白肋烟各生育期吸收氮、磷、钾养分的规律，以及在不同类型的土壤上氮、磷、钾肥的不同配比对白肋烟产量和质量的影响。根据试验结果进行统计，提出了优质白肋烟因土施肥技术方法。     

杂交水稻高产稳产施肥技术研究——Ⅰ.施肥量研究

本文研究了高产杂交水稻的施肥量,通过回归分析建立的土壤养分自然供给量与土壤速效养分含量之间的双曲线方程和水稻产量与养分吸收量之间的幂函数方程,阐明了土壤养分自然供给量随土壤养分含量的变化而变化的规律和水稻产量与养分吸收量之间的关系。同时,介绍了根据土壤养分含量测定值和由这两个方程演算而得的值,运用公式计算水稻计划产量的施肥量的方法,为高产水稻的计量施肥提供了参考依据。     

高铁酸钠电化学合成条件的研究

利用含铁材料为阳极，铜为阴极，NaOH溶液为电解液，于隔膜电解槽中电解制备高铁酸钠。探索了该工艺所必需的各种参数和反应条件，确定了隔膜材料，并对Na2FeO4浓度和电流效率的非一致性变化作出了解释。研究结果表明：在阳极距离为1．3cm（极距2．3cm）、阳极电解液浓度为14mol／L，阴极电解液浓度为4mol／L、温度为35℃、电压为8～9V时，电解2h后得到的Na2FeO4浓度为18．7g／L，电流效率为20％。     

潮汕地区水稻高产栽培措施调查

1991年在潮汕地区进行的水稻高产经验调查结果表明:(1)改善土壤环境、培育肥沃深厚的土壤、提高地力产量,是水稻高产的前提。高产田在植稻前土壤的有效氮(碱解N,电脑推荐施肥法)含量平均为103(±7)mg kg~(-1),有效磷(P_2O_5,MⅢ法)为40(±10)mg kg~(-1),有效钾(K_2O,MⅢ法)为150(±59)mg kg~(-1)。具有这种养分含量的稻田在当季不施肥的地力产量平均占82(±5)％,连续两季不施肥的仍占76(±6)％。(2)增施有机肥。施用量一般占施肥总量(N+P_2O_5+K_2O)的30—40％。化肥氮的施用遵循“前足、中促、后壮”的原则。(3)应用“健身栽培”、肥水促控等措施来控制水稻的最高苗数、提高成穗率和稻谷结实率。(4)延长功能叶的寿命,收获期每株水稻的青叶数保持在3片以上。     

有机无机肥配施比例对蔬菜产量和品质及土壤重金属含量的影响

关于蔬菜施有机肥和它与无机肥的合理配施比例,对蔬菜的产量和品质有重要影响,对土壤有机质和重金属含量也有影响。为控制施禽畜粪类有机肥对蔬菜的负面影响,探讨蔬菜的合理施用量和有机/无机肥配施比例,在不同质地的土壤上进行田间试验。结果表明,(1)施过量禽畜粪类有机肥对试验蔬菜产量和品质都会产生不良影响,小白菜(Brassica chinensis)和茄子(Eggplant)施禽畜粪超过22500kg/hm2、马铃薯(Solanum tuberosum L.)超过24000kg/hm2时,其产量不再增加,成活率下降,维生素C含量下降,多个试验均表现出有机肥用量增加而小白菜硝酸盐随之增加的典型特征;同时不论土壤的质地轻重,蔬菜重金属Pb有随禽畜粪用量增加而提高的趋势;在质地较轻的土壤上,蔬菜重金属Cd、As有随禽畜粪用量增加而提高的趋势;小白菜施禽畜粪肥超过7500kg/hm2、茄子和冬种马铃薯施禽畜粪肥超过75000kg/hm2,收获后土壤重金属含量高于对照和施无机肥的总Cr和As。(2)蔬菜单独施用有机肥的合适施用量,小白菜在较粘重的土壤上可施到22500kg/hm2,但有机肥与无机肥配合施用时有机肥用量可减量;茄子合适施用量应在22500kg/hm2左右;冬种马铃薯合适施用量应在24000kg/hm2左右。(3)蔬菜的有机/无机肥合理配比,小白菜、茄子、和冬种马铃薯施肥的有机氮与无机氮之比均为0.25∶1至0.5∶1时其产量和品质水平较佳。     

Comparison of a Subjective and a Physical Approach for Identification of Priority Areas for Soil and Water Management in a Watershed – A Case Study of Nagwan Watershed in Hazaribagh District of Jharkhand, India

The present investigation was an attempt to compare the within-watershed prioritization capabilities of a physical model based SDSS with the SYI and RPI model based subjective-SDSS, conventionally devised for between-watershed prioritizations, by All India Soil Survey and Land Use Planning Division of Ministry of Agriculture, Government of India. Application of these two approaches on a test watershed situated in Damodar-Barakar catchment in India, the second most seriously eroded area in the world, demonstrated that the proposed physical model based SDSS was capable of realistically and logically mimicking the sub-watershed-scaled water and soil losses thereby suggesting its immense application potential for priority area identification within the test watershed. In contrast to the proposed physical method, the subjective approaches, which assigned totally reverse priorities to about 67–93% of the test-sub-watersheds, were observed to be incapable of realistically assessing the impact of topography and varied land use and soil types in the test watershed on their sub-watershed scaled run-off and soil loss generating potential. Besides, the physical approach could be used for assessing the annual dynamics of the total water and sediment yields, under prevailing resource management systems in the test watershed with good to moderately good correlation coefficients of 0.83 and 0.65; model efficiency coefficients of 0.54 and 0.70; mean relative errors of –4.28% and –17.97% and root mean square prediction errors of 71.8 mm and 9.63 t/ha, respectively.     

气候变化情景下地表O3对水稻产量的潜在风险评估

利用2013~2015年水稻生长季期间气象因子、O₃浓度和气孔导度的实测数据,分析了O₃浓度与AOT40的变化,引入并修订了水稻气孔导度模型,模拟了水稻气孔O₃吸收通量的动态变化,评估了当前和未来气候变化情景下O₃污染所造成的水稻产量损失.结果表明：2013~2015年水稻生长季期间的白天时段,平均O₃浓度分别为35.8,42.0,47.9nL/L,AOT40值分别为5.33,9.03,11.25μL/（L·h）.修订后的模型可用于本地区水稻气孔导度的模拟,2013~2015年水稻气孔O₃通量AF_st02分别为2.02,6.42,7.79mmol/m².2013~2015年地表O₃造成水稻平均相对产量损失分别为4.9%、11.7%和14.3%.在未来气候变化情景下若不考虑O₃浓度的变化,O₃对水稻的胁迫效应将会降低,若考虑未来O₃浓度的变化,O₃造成水稻产量的损失将增加4.7~5.7%.