基于大田试验的铅镉复合污染土壤中甜糯玉米低积累特性

为筛选适合在铅（Pb）、镉（Cd）复合污染土壤种植的低积累特性甜糯玉米品种,选取39个玉米品种,通过大田试验,研究其籽粒和秸秆对Pb和Cd的富集特性和差异.将玉米产量、富集系数和基于土壤Pb和Cd风险阈值的方法作为筛选低积累玉米品种的评价指标.结果表明,不同品种玉米的产量、籽粒和秸秆的Pb和Cd含量之间存在显著差异（P<0.05）.籽粒对Pb和Cd的富集系数分别为0.00003~0.00230和0.01~0.15,秸秆对Pb和Cd的富集系数分别为0.003~0.065和0.64~4.28.通过对不同玉米富集系数的聚类分析,综合不同品种玉米的土壤Pb和Cd风险阈值得出,惠甜5号、新美甜818和玉糯9号可在Pb和Cd含量超风险管制值的耕地安全生产,天贵糯937和金萬糯2000可在Cd含量超风险筛选值的耕地安全生产.惠甜5号、新美甜818和玉糯9号作为Pb和Cd复合低积累品种,适宜在广西铅镉复合污染土壤上推广种植,天贵糯937和金萬糯2000作为籽粒低积累、秸秆Cd高积累品种,建议将其作为植物修复资源加以利用.     

黑麦草、丛枝菌根对番茄Cd吸收、土壤Cd形态的影响

采用大田试验研究了在重金属Cd(5.943 mg·kg~(-1)污染下,黑麦草和丛枝菌根对2个品种番茄("德福mm-8"和"洛贝琪")生长、Cd含量以及对土壤微生物、酶活性、p H和Cd形态的影响.结果表明,黑麦草和丛枝菌根单一或复合处理显著提高了2个品种番茄果实、根、茎、叶和植株总干重,增幅分别为14.1%~38.4%和4.2%~18.3%、20.9%~31.5%和8.4%~10.3%、13.0%~16.8%和3.0%~9.5%、10.7%~16.8%和2.7%~7.6%、14.3%~36.6%和4.5%~16.8%.黑麦草和丛枝菌根单一或复合处理增加了土壤中细菌、真菌、放线菌数量及土壤脲酶、转化酶、磷酸酶、过氧化氢酶活性,且土壤微生物数量及土壤酶活性在不同品种和处理间的差异达到显著性水平(P0.05).与番茄套种黑麦草或接种丛枝菌根提高了土壤p H值,降低了土壤中可交换态(EXC-Cd)、碳酸盐态(CAB-Cd)和铁锰氧化态(Fe-Mn-Cd)和土壤中Cd总量,土壤中Cd总量降幅为16.9%~27.8%.2个番茄品种果实、叶、茎和根中的Cd含量分别显著下降了6.9%~40.9%、5.7%~40.1%、4.6%~34.7%和9.8%~42.4%.Cd主要积累在番茄的叶、根和茎中,果实积累较少.比较供试的2个番茄品种,果实Cd含量和积累量及植株Cd总积累量以"洛贝琪""德福mm-8".     

镉污染大田条件下不同品种水稻镉积累的特征及影响因素

选取适合当地种植的8个水稻品种为试验对象,开展大田试验,比较不同品种水稻对重金属Cd的积累、吸收和转运特征,筛选出适合当地种植的Cd低累积水稻品种,并分析水稻低累积程度及稳定性影响因素.结果表明:(1)根据综合积累指数(P_N)评价方法筛选出对Cd综合积累能力低的水稻品种有:川优3203、川优6203、德粳6号和沈优17.(2)综合考虑稻米Cd含量和产量,适合在该地区种植的水稻品种为川优3203和川优6203,既能安全保障稻米Cd含量,又能保证水稻高产.(3)川优3203和川优6203在不同p H和不同总镉范围内稻米中Cd含量均显著低于其他品种,且在不同土壤条件下表现得很稳定.(4)水稻品种的差异对水稻的稻米富集能力有较大的影响,而对水稻茎叶向水稻稻米的转运能力的影响较小;川优3203和川优6203的低富集系数,加之其较低的转运,最终呈现出稻米较低的镉富集能力.(5)相关性分析发现,稻米Cd含量受水稻富集系数影响最大,受根际土壤总Cd含量影响最小.     

1种钝化剂对3种水稻生长影响及降镉效果的研究

为了考察钝化剂对不同程度污染土壤及不同水稻品种的适应性,采用盆栽试验研究了2种程度镉污染农田土壤(轻度污染土壤和重度污染土壤)中钝化剂的修复效果以及3个品种水稻对镉的吸收。结果表明:添加钝化剂后,2种污染程度土壤的pH值在不同时期均显著提高(轻度污染土壤pH值提高了0. 18～0. 73,重度污染土壤pH值提高了0. 42～0. 71),土壤中pH值与土壤有效态Cd呈负相关性(轻度污染土壤的pH值与土壤有效态Cd相关系数为0. 77;重度污染土壤的pH值与土壤有效态Cd的相关系数为0. 91)。2种程度镉污染土壤分蘖期和成熟期的有效态Cd在施加钝化剂后明显降低(轻度污染土壤有效态Cd在分蘖期的最大降幅为30. 69%,在成熟期的最大降幅为25. 69%;重度污染土壤有效态Cd在分蘖期的最大降幅为6%,在成熟期的最大降幅为7. 5%)。糙米总Cd在施加钝化剂后也明显降低(轻度污染土壤的糙米总Cd降低幅度为59. 46%～66. 67%,重度污染土壤的糙米总Cd降低幅度为18. 71%～57. 60%)。施加钝化剂对水稻株高、叶绿素、有效穗、生物量及产量无显著性差异。此外,3个水稻品种的糙米Cd富集系数有一定的差异,2种污染程度土壤中水稻生长有差异。因此,钝化剂对3种水稻品种均具有降镉效果,且对3种水稻生长无负面影响。钝化剂对水稻生长轻度镉污染土壤的修复效果优于重度污染土壤的修复效果,施用钝化剂能使轻度污染土壤中糙米总Cd达标,不能使重度污染土壤中糙米总Cd达标;轻度污染土壤中水稻生长效果明显优于重度污染土壤中水稻生长。     

Factors affecting the adoption of multiple climate‐smart agricultural practices in the Indo‐Gangetic Plains of India

Climate change poses a major threat to agricultural production and food security in India, and climate‐smart agriculture (CSA) is crucial in addressing the potential impacts. Using survey data from 1,267 farm households in 25 villages from Bihar and Haryana in the Indo‐Gangetic Plains, this study analyzes the factors that determine the probability and level of adoption of multiple CSA practices, including seeds of stress‐tolerant varieties, minimum tillage, laser land leveling, site‐specific nutrient management and crop diversification. We applied a multivariate probit model for the simultaneous multiple adoption decisions, and ordered probit models for assessing the factors affecting the level of adoption. The adoption of the various CSA practices is interrelated, whereas several factors, including household characteristics, plot characteristics, market access and major climate risks are found to affect the probability and level of CSA adoption. Climate‐smart agriculture (CSA) adoption and its intensity also vary significantly between eastern Bihar, which is relatively poor and densely populated, and north‐western Haryana. Engaging multiple stakeholders such as farmers, agricultural institutions, agricultural service providers and concerned government departments at the local level is crucial for the large‐scale uptake of CSA. The study, therefore, calls for agricultural policy reforms so that most of the issues related to the uptake of CSA can be adequately addressed.     

老南瓜种植品种、栽培模式和技术要点

老南瓜含有丰富的胡萝卜素、维C、多糖和一定的食疗价值,也可加工成多种南瓜产品,近年来越来越深受消费者喜爱,目前国内种植最为普遍的老南瓜品种主要是中国类型老南瓜,本文现将主要介绍我国老南瓜种植品种、栽培模式和技术要点.     

镉处理下不同小麦品种几种解毒机制探讨

在外源Cd^2 处理梯度下，综合探讨细胞壁的阻隔作用、细胞活性氧防御酶系作用、植物细胞的区间隔离作用及有机酸生成等几种解毒机制对抗性的贡献。结果表明：（1）细胞壁及残渣、含核糖核蛋白体的细胞溶质部分是结合镉的主要部位，细胞核、叶绿体和线粒体结合镉量较少；（2）解毒功能强的品种并非都是对镉吸收量少的品种，吸收量少的品种也并不意味着就有较强的解毒功能，解毒是多种机制综合作用的结果；(3)POD在Cd^2 处理下小麦细胞活性氧防御机制中起关键作用；（4）低浓度Cd^2 处理下，5个小麦品种有机酸生成量变化不明显。随Cd^2 处理浓度升高，有机酸生成量增加；（5）小麦品种FM27、FM29是解毒功能较强的品种，FM24、FM25居中，M较差。     

Biotechnology is compatible with sustainable agriculture

Biotechnology can provide appropriate new tools for use in solution of specific problems in sustainable agriculture. Its usefulness will depend in large part on the degree to which sustainable agriculturists understand the utility of biotechnology and apply it toward ends they deem important. Biotechnology can give little assistance to sustainable agriculture in the short term. It can be more useful in the medium term, and it could be highly useful in the long term as an integral part of the art and science of plant breeding and other components of sustainable agriculture systems.     

Multi-metric evaluation of the models WARM,CropSyst, and WOFOST for rice

WARM (Water Accounting Rice Model) simulates paddy rice (Oryza sativa L.), based on temperature-driven development and radiation-driven crop growth. It also simulates: biomass partitioning, floodwater effect on temperature, spikelet sterility, floodwater and chemicals management, and soil hydrology. Biomass estimates from WARM were evaluated and compared with the ones from two generic crop models (CropSyst, WOFOST). The test-area was the Po Valley (Italy). Data collected at six sites from 1989 to 2004 from rice crops grown under flooded and non-limiting conditions were split into a calibration (to estimate some model parameters) and a validation set. For model evaluation, a fuzzy-logic based multiple-metrics indicator (MQI) was used: 0 (best) ≤ MQI ≤ 1 (worst). WARM estimates compared well with the actual data (mean MQI = 0.037 against 0.167 and 0.173 with CropSyst and WOFOST, respectively). On an average, the three models performed similarly for individual validation metrics such as modelling efficiency (EF > 0.90) and correlation coefficient (R > 0.98). WARM performed best in a weighed measure of the Akaike Information Criterion: (worst) 0<wk<1$0<w_k<1$ (best), considering estimation accuracy and number of parameters required to achieve it (mean wk=0.983$w_k=0.983$ against 0.007 and ∼0.000 with CropSyst and WOFOST, respectively). WARM results were sensitive to 30% of the model parameters (ratio being lower with both CropSyst, <10%, and WOFOST, <20%), but appeared the easiest model to use because of the lowest number of crop parameters required (10 against 15 and 34 with CropSyst and WOFOST, respectively). This study provides a concrete example of the possibilities offered using a range of assessment metrics to evaluate model estimates, predictive capabilities, and complexity.     

The politics of carbon taxation: how varieties of policy style matter

ABSTRACT

The momentum achieved for unilateral carbon taxes in seven European countries is examined. Why is it that small countries, despite being vulnerable to forces of international competition, have been able to implement carbon taxes? A review of national experiences does not suggest that the share of fossil fuels in the energy mix defines the room for such taxes, or point to a strong role for traditional left-right ideology. Rather, it is deep-seated patterns of national policy styles with neo-corporatist traits, providing a protective device for the open economies of small countries, which condition the introduction of carbon taxes. The associated routines of decision-making offer coordination mechanisms for proactive macroeconomic policies in which carbon taxation can find a place. Parliamentary democracies with proportional representation, as is common in the smaller countries, provide access to government for political parties that pursue carbon taxation. These in turn sensitise larger political parties to climate concerns, as they benefit from institutionalised practices and routines for problem-solving and consensus-seeking.