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。     

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.     

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。     

播期对冀西北坝上农牧交错区青贮玉米产量和品质的影响

为确定冀西北坝上地区青贮玉米（Zea maysL.）适宜的播种日期,本研究以青贮玉米‘德美亚1号’、‘院军1号’、‘巡天3号’、‘德美亚2号’4个品种为材料,设置S1（5月2日）、S2（5月7日）、S3（5月12日）3个播期,开展播期试验,探究3个播期下青贮玉米的株高、茎粗、叶面积指数、叶绿素含量等农艺性状及产量、品质的差异。结果表明：‘德美亚1号’株型适中、适合密植、生育期短,在5月7日播种,株高、茎粗最高,为208.95 cm,2.67 cm,叶面积指数为3.93,干草产量可达17.53 t·hm^-2,相对饲用价值最高达159.7,草品质达国标二级;‘德美亚2号’秆矮、早熟、抗逆性好,在5月7日种植产量为17.24 t·hm^-2,相对饲用价值达205.9,草品质达国标一级;‘院军1号’、‘巡天3号’含水量过高,不适宜制作青贮玉米。综上,‘德美亚1号’为最适宜在冀西北坝上农牧交错区种植的青贮玉米品种,播种期为5月7日。     

施肥水平与播量对青稞生长及产量的影响

为提升甘南青稞产业种源支撑基础,实现青稞新育品种的增产增收潜力,以青稞新品种甘青11号为试材,在甘南高寒阴湿区旱川地进行了不同施肥水平与播量对其生长及产量的影响试验。结果表明,施肥水平为尿素150 kg/hm2、磷酸二铵225 kg/hm2,播量为192.0 kg/hm2时,甘青11号青稞折合产量最高,为3 720 kg/hm2;施肥水平为尿素150 kg/hm2、磷酸二铵300 kg/hm2,播量分别为223.5、256.5 kg/hm2时,甘青11号青稞折合产量较高,分别为3 580、3 510 kg/hm2。由此可见,在施肥水平为尿素150 kg/hm2、磷酸二铵225～300 kg/hm2,播量为192.0～256.5 kg/hm2时,青稞产量高、综合农艺性状优良。综合考虑,该施肥水平和播量为青稞在甘南高寒阴湿区种植适宜的肥料配比和播量。     

播期对亚种间杂交稻根系形态发育和生理活性的影响

利用“网袋法”（the mesh beg method）研究亚种间杂交稻 PE037×02428（PE）和品种间杂交稻汕优63（S63）在不同播期下的根系形态发育和生理活性。结果表明:在根系干物质累积、根系生理活性和穗粒性状上PE较S63具有杂种优势,但这些优势最终未能转化成产量优势,主要是因为PE籽粒充实度不高所致。播期对根系形态发育和生理活性的影响不同:5/1O和5/4（月/日）播期有利于根系形态发育但根系生理活性较低,且后期衰退严重,其结实率和产量最低;而6/10和6/11播期有利于根系生理活性的提高,结实率和产量最高。相关分析表明,生育后期PE根系氧化力和SOD活性下降百分率与20cm土层内的平均温度存在显著正相关（r=0.933～0.972）,而与产量成显著或极显著负相关（r=-0.955～-0.999）。PE根系干物质累积优势对产量是一个负向优势。     

Combined use of optical and radar satellite data for the detection of tillage and irrigation operations: Case study in Central Morocco

The objective of this study is to present a new application of optical and radar remote sensing with high spatial (∼10 m) and temporal (a few days) resolutions for the detection of tillage and irrigation operations. The analysis was performed for irrigated wheat crops in the semi-arid Tensift/Marrakech plain (Central Morocco) using three FORMOSAT-2 images and two ASAR images acquired within one week at the beginning of the 2005/2006 agricultural season.The approach we developed uses simple mapping algorithms (band thresholding and decision tree) for the characterisation of soil surface states. The first images acquired by FORMOSAT and ASAR were processed to classify fields into three main categories: ploughed (in depth), prepared to be sown (harrowed), and not ploughed-not harrowed. This information was combined with a change detection analysis based on multitemporal images to identify harrowing and irrigation operations which occurred between two satellite observations.The performance of the algorithm was evaluated using data related to land use and agricultural practices collected on 124 fields. The analysis shows that drastic changes of surface states caused by ploughing or irrigation are detected without ambiguity (consistency index of 96%). This study provided evidence that optical and radar data contain complementary information for the detection of agricultural operations at the beginning of agricultural season. This information could be useful in regional decision support systems to refine crop calendars and to improve prediction of crop water needs over large areas.