冬小麦济麦22和春小麦津强8号的产量形成差异分析

为探明冬小麦和春小麦产量形成差异,2016年10月-2017年6月以冬小麦品种济麦22和春小麦品种津强8号为材料,在大田条件下研究了冬小麦和春小麦生育期、叶面积指数、干物质积累及产量构成。结果表明,春小麦出苗比冬小麦延长8d,营养生长期缩短77~78d,灌浆期延长1~2d,全生育期缩短143~144d。拔节期和开花期,春小麦和冬小麦的叶面积指数无显著差异,但灌浆期春小麦叶面积指数比冬小麦叶面积指数增加6.34%~7.67%,不同生育时期春小麦和冬小麦干物质积累量无差异。春小麦收获穗数和千粒重比冬小麦分别增加2.35%~5.29%和4.28%~5.13%,但穗粒数比冬小麦少1.4~2.3,春小麦与冬小麦理论产量和实际产量均无显著差异。综上所述,春小麦可通过增加播量,增加穗数,保持稳定的叶面积指数和干物质积累量,实现小麦稳产,可为区域变革麦-玉种植制度,实现麦-玉周年双机收子粒提供理论支撑。     

冬小麦-夏玉米“双晚”种植模式的产量形成及资源效率研究

为了进一步明确黄淮平原冬小麦晚播、夏玉米晚收的“双晚”增产及资源高效的效应,选用2个中熟冬小麦品种和2个中晚熟夏玉米品种,于2006—2008年先后在河南温县和焦作进行大田试验,研究作物群体物质生产、产量形成参数定量指标及光温资源的分配利用。结果表明,冬小麦晚播产量降低不明显,夏玉米晚收产量显著提高747~2 700 kg hm^-2,“双晚”周年产量21 891~22 507 kg hm^-2,比对照提高442~2 575 kg hm^-2。冬小麦晚播平均叶面积指数、每平方米穗数和穗粒数降低,但平均净同化率、收获指数和粒重提高达5%显著水平;夏玉米晚收平均叶面积指数、收获指数、生育期天数和粒重均显著提高。“双晚”栽培优化了周年资源分配,提高生育期与光、温资源变化的吻合度,其生产效率分别提高2.22%~10.86%和0.47%~11.56%。小麦和玉米品种的遗传类型是影响“双晚”栽培技术的关键。因此,选用小麦晚播早熟高产和玉米长生育期晚熟品种,通过有效调节资源配置,将小麦冗余的光温资源分配给C₄高光效作物玉米,是提高周年高产高效的重要途径。     

保水剂对冬小麦生长及水分利用效率的影响

为阐明保水剂对不同生育阶段作物的生长及水分利用等的影响,选择小麦品种郑麦9694和矮抗58通过大田试验,研究了不同用量保水剂(0,30,60,90 kg/hm2)对2个冬小麦生长过程中各生育期阶段的群体变化、株高、叶面积、根冠比及与产量和水分利用效率等作用特征.结果表明:施用保水剂提高了各生育期冬小麦的总群体数、株高和...     

华北平原冬小麦生长对水分胁迫的响应

通过对叶面积指数、生物量、水分利用效率、灌浆速率等数据的分析发现：拔节期胁迫对冬小麦的产量和水分利用效率有一定的影响；充分灌水处理生物产量较高但是水分利用效率低；不同生育期水分胁迫的处理对土壤储水量的消耗有明显的不同最大相差143．3mm；以棵间蒸发形式消耗的无效耗水也有明显的差异，最多相差20mm。     

冬小麦产量形成模拟模型研究

根据小麦生理生态学理论，建立了冬小麦产量形成及最终产量模拟模型（WYSM），作为小麦生长模型的子模型。模型较为全面地考虑了孕穗期水分、低温霜冻、高温及生长后期干热风对冬小麦粒数的影响，将灌浆期分成3个阶段，引入3个品种参数，考虑每个阶段最大灌浆速率，并利用温度、水分、籽粒体内N/C比等因子进行修正，考虑源库限制，最后采用产量构成因素方法建立小麦最终产量模型。利用北京地区和河南地区不同年份和不同品种的试验资料对模型进行了验证。结果表明，WYSM模型对小麦产量构成因子及最终产量的模拟效果很好，模拟值与实测值吻合度高，粒数、粒重、产量及灌浆过程模拟的相对均方差（NRMSE）为4.2%～10.9%，相对误差（RE）绝对值的平均值为2.9%～6.7%，决定系数R2为0.88～0.99，说明模型不仅具有较强的机理性而且具有较高的预测性和适用性。     

基于ORYZA2000模型模拟贵阳地区一季中稻的适应性初探

为了验证ORYZA2000模型在贵阳地区一季中稻的适应性,以贵阳地区2008-2009年气象资料为基础,采用2008-2009年‘金优527’、‘黔南优2058’、‘Q优6号’的田间试验数据对ORYZA2000模型进行校正,同时获取相关作物参数和开展模拟评价。结果表明,ORYZA2000模型对3个品种的地上部总生物量、茎生物量、穗生物量、绿叶生物量、叶面积指数、产量的NRMSE分别为：16.4%、22.5%、23.5%、26.5%、26.1%、11.3%。经过参数调试后的ORYZA2000模型能够比较准确地模拟贵阳地区一季中稻的生物量、叶面积动态变化及产量,尤其是在模拟产量、总生物量方面具有较高的准确性。     

土壤水分胁迫对冬小麦生长的后效影响

为揭示土壤水分胁迫对冬小麦生长的后效影响及其规律,利用盆栽试验对供试冬小麦设置13种供水处理,测定作物株高、叶面积、冠干重及产量,研究水分胁迫对上述生理指标的后效影响。结果表明,中度水分胁迫对株高的后效影响大于重度水分胁迫,在重度水分胁迫下,除C5-A外,当前影响均大于后效影响;前期中度水分胁迫对叶面积的后效影响大于当前影响,后期则相反,重度水分胁迫对叶面积的当前影响大于后效影响;水分胁迫对冠重的后效影响大于当前影响;水分胁迫对冬小麦穗数的后效影响基本上表现为正效应,而对每穗粒数、千粒重、产量及WUE的后效影响则全部为负效应,拔节至孕穗阶段中度水分胁迫抽穗期复水的处理产量最高,达到对照的62%。不同程度、不同历时、不同生育阶段的水分胁迫,对作物生长均有后效应,并导致小麦减产。     

基于作物水分生产函数的冬小麦干旱评估模型

干旱是影响华北冬小麦生产的主要灾害之一。为定量评估干旱对冬小麦产量的影响,利用作物水分生产函数,建立了河北省冬小麦干旱评估模型。本研究选择河北省冬麦区南宫、河间、霸州等农业气象观测站,基于3站1991-2007年冬小麦观测数据及气象资料,采用Penman-Monteith公式计算冬小麦各生育阶段的相对蒸散量,以联合国粮农组织（FAO）“农作物生产潜势”方法估算的光温生产潜力作为最大产量,应用统计方法求解Jensen模型参数,并以该模型为基础建立干旱评估模型。结果表明,各站冬小麦水分敏感系数与冬小麦全生育期灌溉次数关系密切。对于灌溉3次的南宫、河间二站,利用大田种植条件下的数据,得到的冬小麦水分敏感阶段与试验的结论相似,呈前期小、中期大、后期又变小的变化趋势;全生育期干旱评估模型的模拟和预测结果与实际产量相关较好,相关系数通过了0.01的显著性统计检验。应用干旱评估模型对冬小麦播种-拔节、播种-抽穗、播种-灌浆、播种-成熟各阶段的干旱评估结果与实际相符。霸州一般灌溉5次,干旱胁迫不明显,仅抽穗-灌浆期水分敏感系数为正值,其他生育阶段均为负值,对水分亏缺表现不敏感。     

遥感信息应用于水分胁迫条件下的华北冬小麦生长模拟研究

由于初始土壤水分、灌溉量等变量的空间分布不易获得,区域尺度水分胁迫条件下作物生长模拟存在一定难度。本文在WOFOST模型本地化和区域化的基础上,采用调控型方法,重点探讨了利用MODIS数据反演的地表蒸散在大范围内估算土壤水分平衡过程中的参数或变量初始值,以实现水分胁迫条件下作物模型区域模拟的可行性。2002年模拟结果显示,引入遥感信息优化获得初始土壤有效含水量、返青期生物量及抽穗期灌溉量后,土壤水分的模拟效果得到改善;32个农业气象试验站点模拟产量的相对均方根误差（RRMSE）由0.63降至0.20;华北冬小麦模拟产量的空间分布与实际产量分布更加接近,产量低估的情况得到较好改善;河北、河南、山东3省平均产量的模拟误差分别为－4.9%、4.3%和8.6%。初步结果表明,结合卫星遥感信息通过优化方法在大范围内估算作物模型的相关参变量,以实现水分胁迫条件下作物模型的区域应用是行之有效的。     

土壤水分调控对高产冬小麦生理特性及产量影响

采用田间防雨旱棚方法研究了高产小麦分蘖期、孕穗期、灌浆期的三个生育时期在不同水分胁迫下,冬小麦生理特性指标的变化、产量构成因素及最终产量的变化。结果表明：冬小麦各个生育时期对水分胁迫反应有显著差别,主要表现为光合速率、蒸腾速率、叶水势等方面;生育后期比生育前期对水分敏感性强,产量受后期水分影响较大;根据各时期光合速率、蒸腾速率、最终产量等指标得出高产冬小麦合理节水灌溉指标主要为各生育期田间持水量分蘖前期为45%~50%,分蘖后期到孕穗前期为55%~60%,孕穗后期至灌浆期要维持60%~65%左右。这种条件下可以获得较合理的生物产量和经济效益。     

长期施用有效微生物肥对冬小麦-夏玉米生长和产量的影响

在多年连续定位试验研究的基础上,研究了不同施肥方式对冬小麦、夏玉米生长和产量的影响。结果表明:EM微生物堆肥能明显增加冬小麦和夏玉米的产量。EM微生物堆肥处理的年均总产比等量传统堆肥增产8.3%~8.9%,其中冬小麦增产8.3%,夏玉米增产8.2%~9.4%。EM微生物堆肥能在一定程度降低土壤容重,增加土壤含水量,改善作物的生长环境。EM微生物堆肥处理的冬小麦、夏玉米总光合势比等量传统堆肥分别高5%~36%,5.2%~14.3%,比化肥处理分别高19%~72%,19.6%~46.4%,随EM微生物堆肥施用量的增加差异更明显。EM微生物堆肥比较高的光合势加快了干物质的积累速度,从而提高了冬小麦、夏玉米的群体生长速率。     

Simulation Analysis of Variation among Seasons in Winter Wheat Yields in Northern Italy

Winter wheat growth and yield was observed in two sets of field experiments performed at the Experimental Farm of Padova University in Legnaro, over seven years beginning in 1981. A spring wheat model in which leaf area development was calculated as a function of temperature and biomass accumulation was utilized. The final number of leaves in each season was calculated based on a previous winter wheat model and the biomass accumulation was decreased when average daily temperature was below 10 °C. In addition to the two modifications described above, the soil/crop nitrogen submodels were modified so that denitrification was a function of temperature and plant nitrogen uptake rate was sensitive to variations in daily temperature. Nitrogen leached below 60 cm was assumed to be no longer available to the winter wheat crop. The winter wheat model with the soil/crop nitrogen budged resulted in good agreement between the simulated and observed yields (less than 14 % difference existed in 12 of 14 environments). A strong negative correlation (r = -0.74) existed between the simulated yields and the simulated amount of nitrogen leached out of the root zone. Under the conditions of nothern Italy, retention of root zone nitrogen appears to be particularly important in achieving high winter wheat yields.     

基于升尺度方法的华北冬小麦区域生长模型初步研究 Ⅰ.潜在生产水平

作物生长模型是在田间尺度上开发的,而区域尺度上的作物生长信息更受决策部门的关注。作物模拟从单点研究发展到区域应用需要解决升尺度连接（Scaling-up）等一系列技术问题。本文利用以经纬度为权重的IDW空间插值法对气象数据和与温度有关的作物参数进行空间插值;根据华北冬小麦的品种地带性分布特点进行了冬小麦品种参数     

Mechanical control of clover improves nitrogen supply and growth of wheat in winter wheat/white clover intercropping

The major objective for clover in a winter wheat/white clover intercropping system is to supply nitrogen (N) for the wheat. A field experiment was repeated in 2 years on a loamy sand in Denmark to investigate the possibilities for increasing N supply to the winter wheat by cutting and mulching the clover between the wheat rows. The clover was cut with a weed brusher on three different dates in each year.Intercropped wheat with unbrushed clover had a lower grain yield than wheat as a sole crop. Brushing increased wheat N uptake and wheat grain yields. Intercropping with two or three brushing dates gave higher wheat yields than wheat as the sole crop. The largest increases in grain N uptake, 21–25 kg N ha⁻¹, were obtained for the brushings around wheat flag leaf emergence. The highest yield increases with a single brushing, 0.98–1.11 Mg DM ha⁻¹, were obtained when brushing was performed during the stem elongation phase. The largest grain yields for treatments with two brushings were obtained with a first brushing at start of stem elongation and a second around flag leaf emergence. The first brushing probably provided N to increase the wheat leaf area index and thus the light interception, while the second brushing provided N to sustain the leaf area during grain filling and reduced clover biomass and therefore competition for water. Intercropping wheat and clover increased grain N concentrations by 0.11–0.39%-point compared with wheat as a sole crop. Intercropping may thus offer possibilities for improving the bread-making quality of organically grown wheat.     

An approach to predict land production potential for irrigated and rainfed winter wheat in Pinan county,China

The methodology described in this paper provides land evaluators and land use planners with a tool to predict the land production potential for irrigated and rainfed winter wheat in Pinan County (China), taking into account environmental conditions and management practices of the local farmers.The correlation between predicted yields and actual reported yields by local farmers suggests a close resemblance between the simulated production environment and the situation in which the farmers operate.Incorporation in the model of quantified effects of limiting factors on crop performance allows estimation of inputs necessary to improve the actual yield level.     

作物高产群体LAI动态模拟模型的建立与检验

针对目前已有群体叶面积指数（LAI）模拟模型形式多样、参数较多以及应用性不强等问题,对春玉米、水稻和冬小麦的LAI及出苗至成熟天数进行归一化处理,分别将最大LAI和出苗至成熟天数定为1,以相对LAI (0~1)和相对时间(0~1)为参数进行LAI动态模拟,筛选、建立了一个适用于这3种作物的相对化LAI动态模拟模型y= (a+bx) / (1+cx+dx²)。其中,春玉米y= (0.0134+0.3234x) / (1－2.774x+2.4178x²),r=0.9859**;水稻y= (0.0777+0.0205x) / (1－2.73744x+2.0484x²),r=0.9865**;冬小麦y= (0.0131+0.0035x) / (1－2.4515x+1.5273x²),r=0.9719**。利用该模型,自拔节期起就能够较准确地进行LAI的动态预测,其在春玉米、水稻和冬小麦上的准确度（以k表示）分别为1.050、1.0357和1.1168,精确度（以R²表示）分别为0.8728、0.9270和0.9254。3种作物整个生育期内模型的模拟值与测量值的精确度均在0.98以上,准确度达0.86以上,表明相对化LAI动态模型能够准确地反映作物群体动态变化。不仅可以计算出作物生育期间的平均LAI、总光合势,还能计算任一时刻的LAI以及任一时段的光合势。结合田间调查还可得到作物生长期间的平均净同化率和平均作物生长率等产量相关的重要生理参数。根据作物群体中各光合生理参数与产量的关系,提出了3种作物进一步增产的可能途径。     

Testing the performance of ORYZA1, an explanatory model for rice growth simulation, for Mediterranean conditions

ORYZA1 is an explanatory model to simulate rice growth, development and leaf area index (LAI) under potential production. The present study aims at testing the performance of ORYZA1 for Mediterranean conditions (farming practices, cultivars, weather) for fully irrigated direct-seeded rice. ORYZA1 was calibrated and validated with field data of two cultivars, a short-grain (Tebre) and a long-grain cultivar ( -202), grown in various years in the Ebro Delta of Spain. Phenological development of the rice crop, daily dry matter production and leaf area development were calibrated. Tebre and L-202 had no significant differences in the total length of the development period. The pre-heading period, however, was longer and the post-heading period shorter in L-202 than in Tebre. This induced differences in translocation characteristics, spikelet number per unit area, weight of the grains and harvest index. The following crop characteristics were similar between cultivars: extinction coefficient (increased with development stage), dynamics of nitrogen distribution, partitioning of assimilates, relative death rate of leaves, relative growth rate of leaf area during exponential growth, specific leaf area and a strongly decreasing specific stem green area. The simulated curve fitted much better the observations, which was clear from a strongly reduced value of RMSE, when considering that LAI comprises the leaf blade area only, without a photosynthetic contribution by stem green area. The model simulated rice growth very accurately until flowering. After flowering, however, divergences appeared and increased especially at the yellow ripe stage. From then on the crop did not grow much more, whereas it continued in the simulation. This reduction of growth rate was usually accompanied by an increase in the relative death rate of leaves and the drying of the grains. The main source of error may be a limited understanding of the ripening and sink limitation processes. A considerable yield gap between potential and observed yield remained. A climatic variability assessment over 10 years, from 1987 to 1996, showed a small but correlated variation (r=0.7) in both simulated and measured rice yields.     

作物产量“三合结构”定量表达及高产分析

针对目前作物产量水平长期徘徊难以突破，产量分析理论缺乏量化指标体系，可操作指导作用小等问题，依据“三合结构”模式二级结构层各因素的关系，建立了“三合结构”定量表达式，并通过田间试验与模型模拟相结合的方法，对春玉米、夏玉米、水稻和冬小麦高产实例进行定量化分析，明确了限制产量进一步提高的关键因素，提出了高产突破的可能方向。结果表明，提高叶片平均净同化率（MNAR），改善群体的物质生产能力，是水稻产量进一步提升的关键；适当提高平均叶面积指数（MLAI）或经济系数（HI）可能会进一步增加冬小麦产量；春玉米籽粒产量主要伴随着MLAI和单位面积穗数（EN）的增加而提高，其实质是平均作物生长率（MCGR）的提高增加了单位面积上总粒数（TGN）。进一步研究确定了“三合结构”定量表达式参数间的函数关系式，通过公式代换可推导出某一参数与目标参数的函数关系。作物产量“三合结构”定量表达式的建立为作物群体定量化研究提供了新的思路和方法，有助于全面掌握群体参数变化与产量形成的定量关系，为指导作物生产进行有效的技术调控提供依据。