滇中冷凉山区不同播期反季花椰菜产量效益分析

为摸索滇中高海拔冷凉山区反季节栽培花椰菜的最佳播期以集成高效栽培技术推广应用,于2017—2018年选择海拔2250 m的云南省峨山县塔甸镇大西村地块进行9个播期的2年随机区组试验。结果表明,花椰菜生育期随播期推迟而延长,而花球采收期除播期7月10日外随播期推迟而逐渐增长;花椰菜株高、外叶数、开展度、球高、球径和单球重等农艺性状有随播期延迟呈现先逐渐减小而后又逐渐增大的趋势;莲座期黑腐病和霜霉病的病情指数随着播期的延迟呈现先逐渐升高而后又逐渐下降的趋势;花椰菜小区产量随着播期的延迟呈现先逐渐下降而后又逐渐提高的趋势,播期4月20日和4月30日与其余7个播期产量之间的差异达极显著水平。综合花椰菜在冷凉山区反季节栽培的生产实际和各播期产量产值及商品性表现,推荐滇中高海拔冷凉山区反季节栽培花椰菜的最佳播期为4月20—30日。     

不同覆土深度对鸡腿菇子实体产量的影响

本试验研究 11种覆土深度对鸡腿菇子实体产量影响。结果表明 ,不同覆土深度对子实体产量、有效子实体数和幼蕾数均存在显著的影响。覆土越厚 ,幼蕾数越少。当覆土深度在 0 5～ 3cm时 ,子实体产量和有效子实体数随着覆土层的加厚逐渐增加 ,在覆土深度为 3cm时达到最大值 ,覆土深度大于 3cm时 ,则随着覆土层的加厚而逐渐减少。从生产的角度看 ,覆土 3cm是比较适宜的覆土深度 ,此时的子实体产量最高。     

沙地生境不同播期对紫花苜蓿生产性能及其越冬率的影响

为确定科尔沁沙地种植苜蓿（Medicago sativa）的适宜播期，本研究于2017年在内蒙古阿鲁科尔沁旗，选择骑士T、公农1号、擎天柱3个紫花苜蓿品种，7月1日开始播种，每5天播种1期，共10个播期，分析播期、生产性能、越冬率之间的关系。结果表明：建植当年苜蓿播种越晚干草产量越低，骑士T干草产量在7月21日播期显著降低（P<0.05），公农1号干草产量在7月16日播期显著降低（P<0.05），擎天柱干草产量在7月11日播期显著降低（P<0.05）；随播种时期的推迟，苜蓿株高、单枝条重呈降低的变化趋势，单位面积株数和枝条数呈先增加后降低的变化趋势；苜蓿越冬率从播期7月16日开始显著降低，公农1号在7月16日以前播种越冬率显著高于骑士T和擎天柱（P<0.05）；播种翌年第1茬苜蓿干草产量和株高随着播期的推迟而逐渐降低，2，3茬则无明显变化；苜蓿单位面积株数和枝条数都随播期的推迟呈降低的变化趋势，随着刈割茬次的增加，苜蓿的株数逐渐降低。因此，在科尔沁沙地种植紫花苜蓿最佳播期为7月1日—7月16日。     

Simulating farming practices within a region using a stochastic bio-decisional model: Application to irrigated maize in south-western France

Agricultural is a major contributor to environmental resource management problems. Modelling the distribution of agricultural land use to evaluate current situations or scenarios is an important issue for policy-makers and natural resource managers. A promising approach is the use of bio-decisional models based on decision rules. However, at the regional scale, the large number of farmers makes it difficult to identify decision rules, and the diversity of farmers' decisions is rarely considered. To this end, we developed SIMITKO, a spatialised and stochastic bio-decisional model, able to simulate the spatial and temporal variability in farming practices. We focused on the choice of varietal earliness and sowing practices of maize (Zea mays L.) in the Baïse sector (south-western France). Model development was based on statistical analyses of surveys of farmers’ practices to identify their current strategies, the best variables to describe the practices and the probabilities associated with the values of the variables for each strategy. We tested SIMITKO by simulating the dynamics of areas sown with maize. Comparing model predictions of practices to observed data showed generally good predictions of sowing dynamics but less satisfactory predictions of varietal earliness choices. Possible improvements are suggested.     

油草混播种类对油菜生产和草地生产性能的影响

为筛选与门源油菜混播效益最高的牧草种类,解决油菜连作障碍问题,提高青藏高原高海拔区土地的生产能力,本研究采用油菜混播箭筈豌豆、青稞和燕麦的方式,分时段取样,探究了油菜混播不同牧草对在不同时段牧草自身生产能力的影响,并通过土地当量比判断各混播组合的优劣。研究表明油菜-燕麦混播处理在7月6日时表现干重最高,单位面积达174.48 g；在7月21日表现为鲜重和鲜干比最高,在8月15日时表现为株高显著高于单作油菜(p＜0.05),较单作油菜高97.02%；鲜重最高,达2817.00 g。在9月11日,油菜-青稞和油菜-燕麦混播处理的株高显著高于单作油菜(p＜0.05),分别较单作油菜高64.33%和99.68%,以油菜-青稞混播处理的干重最高,达589.00 g,较单作油菜处理高147.51%。油菜-箭筈豌豆混播和油菜-燕麦混播有产量优势,油菜-燕麦混播的土地当量比最高,为1.11,土地利用效果最好。     

Evaluation of WARM for different establishment techniques in Jiangsu (China)

WARM is a model for rice simulation accounting for key biotic and a-biotic factors affecting quantitative and qualitative (e.g., amylose content, chalkiness) aspects of production. Although the model is used in different international contexts for yield forecasts (e.g., the EC monitoring and forecasting system) and climate change studies, it was never explicitly evaluated for transplanting, the most widespread rice establishment method especially in tropical and sub-tropical Asia. In this study, WARM was tested for its ability to reproduce nursery growth and transplanting shock, using data on direct sown and transplanted (both manual and mechanical) rice collected in 24 dedicated field experiments performed at eight sites in Jiangsu in 2011, 2012 and 2013. The agreement between measured and simulated aboveground biomass data was satisfactory for both direct sowing and transplanting: average R² of the linear regression between observed and simulated values was 0.97 for mechanical transplanting and direct sowing, and 0.99 for manual transplanting. RRMSE values ranged from 5.26% to 30.89%, with Nash and Sutcliffe modelling efficiency always higher than 0.78; no notable differences in the performance achieved for calibration and validation datasets were observed. The new transplanting algorithm – derived by extending the Oryza2000 one – allowed WARM to reproduce rice growth and development for direct sown and transplanted datasets (i) with comparable accuracy and (ii) using the same values for the parameters describing morphological and physiological plant traits. This demonstrates the reliability of the proposed transplanting simulation approach and the suitability of the WARM model for simulating rice biomass production even for production contexts where rice is mainly transplanted.     

梯形明渠水力学特征水深的解析计算式研究

通过数学理论分析,推出了梯形明渠的临界水深和正常水深高精度解析计算式,并与现有文献相关计算式进行了对比分析。结果表明,新推出的临界水深计算式相对误差小于0.3%;当梯形明渠坡比0.1~7时,新推出的正常水深初值计解析算公式相对误差一般小于3%;另外,给出了收敛速度更快的正常水深迭计算公式,且在m1时正常水深计算公式在初值迭代一次后其误差均小于0.5%。新推出的梯形明渠临界水深和正常水深解析计算式方便简捷、精度可靠。     

积雪特性参数分析及雪深模型建立

通过2015~2016年冬季积雪观测试验,测量自然条件下雪深、雪层温度、雪层密度、雪层液态含水率等积雪特性参数,分析积雪特性参数影响因子和发育变化规律,构建径向基神经网络雪深模型。结果表明,空气、地表温度及水汽压是影响雪参数发育三大主要气象因子。在时长为124 d覆雪期中,雪深最大平均融雪速率达3.20 mm·d-1,出现在融雪后期。雪层密度随雪深增加波浪式上升,其中稳定期全层密度0.1~0.4 g·cm-3;雪层液态含水率0.5%~3.5%,分层液态含水率中层较大,积雪表层和底部波动较小;全层积雪孔隙率平均值为72.3%,积底层孔隙率廓线下降最快,极差最大。经两次优化后,雪深模型最大绝对误差为0.614 1 cm,最大相对误差为5.85%,模拟精度控制在6 mm以内。     

兴仁小白壳薏苡不同播期对产量的影响

为探索适宜兴仁县薏苡种植的最佳播种时期，在兴仁县开展了薏苡不同播期对产量影响的试验。试验共设9个播期，梯度为7 d，播种时间从3月19日－5月14日。试验结果表明，兴仁小白壳薏苡的最佳播期是3月19日－4月16日，并且在此期间播种，薏苡产量较高。