基于植物功能-结构模型的玉米-大豆条带间作光截获行间差异研究

间作种植形成了异质冠层空间结构,但因此导致的作物生长、表型和光截获的行间差异目前还少有定量化。为解析条带间作生产力的行间差异,本研究基于田间观测数据构建植物功能-结构模型(Functional-Structural Plant Model,FSPM),量化间作系统中光截获的行间差异。于2017—2018年开展了玉米和大豆单作、2行玉米和2行大豆的2:2 MS间作以及3行玉米和6行大豆的3:6 MS间作田间试验。基于植物生长平台GroIMP开发了玉米-大豆间作的FSPM,模型较好地模拟了叶面积指数(Leaf Area Index,LAI)、株高和光截获系数动态三个指标,均方根误差(Root Mean Square Error,RMSE)分别为0.24~0.70 m^(2)/m^(2)、0.06~0.17 m和0.06~0.10。田间试验结果表明,间作种植显著增加了玉米节间直径。受玉米遮阴影响,大豆节间变长、变细,且随大豆条带变窄差异越明显。模型模拟的2:2 MS间作玉米光截获比单作玉米高35.6%,3:6 MS边行玉米和内行玉米的光截获分别比单作玉米高27.8%和20.3%。2:2 MS与3:6 MS边行大豆的光截获比单作大豆分别少36.0%和28.8%;3:6 MS大豆内Ⅰ行和内Ⅱ行比单作大豆的光截获分别少4.1%和1.8%。基于三维FSPM,未来可进行不同生长环境下间作种植模式等的布局优化,以达到最佳系统光截获优势。

昆虫杆状病毒流行病模拟模型及Java模拟软件(英文)

研究昆虫杆状病毒流行病模拟模型,对确定基因工程改造杆状病毒的主攻方向,明确病毒病田间流行的机制与关键因素,以及制定生物防治策略,均具有重要的理论与实践意义。本研究研制了用于昆虫杆状病毒流行病模拟的数学模型和Java模拟软件,该模型包括描述种群动态的一个微分方程组,描述气温变化、作物生长及病毒动态的若干模型等。模拟软件用工具包JDK和JavaScript开发,由主计算类、图形类、结果显示类、参数输入界面类、警告信息类、主页、用户指南页、版权页、计数页等组成。在参数文件中编入有关作物、病毒、害虫等方面的参数,输入初始的各龄健康、染病虫量、叶面积、病毒密度等,运行后可输出各龄健康、染病及病死的虫量,作物损失,病毒积累等动态,以及图形等等。该模型适用于各种杆状病毒,各种有叶作物,各种食叶性的全变态昆虫。应用该模拟模型,对温度、病毒施用虫龄、病毒施用时间、病毒施用剂量等进行了灵敏度分析,得到了一些重要结论。

油菜花期潜叶蝇的发生与农业景观的关系

不同农业景观能够影响生态系统生物控害与授粉的服务与功能,但同时也可能影响害虫的种群密度。为了探明江西赣北地区不同农业景观背景下油菜潜叶蝇种群动态,应用广义线性模型分析了农业景观构成因子与油菜潜叶蝇种群数量的关系。结果表明:油菜初花期、盛花期和终花前期,不同样地之间油菜潜叶蝇种群发生趋势相似,在油菜盛花期潜叶蝇为害最重,但不同样地之间的潜叶蝇种群数量差异显著。区域范围农业景观构成因素对油菜花期潜叶蝇发生数量有显著影响。草地面积、森林面积与油菜潜叶蝇的种群数量呈显著正相关关系,耕地面积在中等范围尺度(1 000m半径)与油菜潜叶蝇发生数量负相关。研究结果表明高比例的作物生境反而有相对更低的油菜潜叶蝇种群。本研究内容可以为分析农业景观的生态服务功能提供研究案例,为不同生态农业区域油菜潜叶蝇种群防控提供参考资料。

Resource use efficiency, ecological intensification and sustainability of intercropping systems

The rapidly growing demand for food, feed and fuel requires further improvements of land and water management, crop productivity and resource-use efficiencies.Combined field experimentation and crop growth modelling during the past five decades made a great leap forward in the understanding of factors that determine actual and potential yields of monocrops.The research field of production ecology developed concepts to integrate biological and biophysical processes with the aim to explore crop growth potential in contrasting environments.To understand the potential of more complex systems（multi-cropping and intercropping） we need an agro-ecosystem approach that integrates knowledge derived from various disciplines： agronomy, crop physiology, crop ecology, and environmental sciences（soil, water and climate）.Adaptation of cropping systems to climate change and a better tolerance to biotic and abiotic stresses by genetic improvement and by managing diverse cropping systems in a sustainable way will be of key importance in food security.To accelerate sustainable intensification of agricultural production, it is required to develop intercropping systems that are highly productive and stable under conditions with abiotic constraints（water, nutrients and weather）.Strategies to achieve sustainable intensification include developing tools to evaluate crop growth potential under more extreme climatic conditions and introducing new crops and cropping systems that are more productive and robust under conditions with abiotic stress.This paper presents some examples of sustainable intensification management of intercropping systems that proved to be tolerant to extreme climate conditions.

Genotype and Planting Density Effects on Rooting Traits and Yield in Cotton （Gossypium hirsutum L,）

Root density distribution of plants is a major Indicator of competition between plants and determines resource capture from the solh This experiment was conducted in 2005 at Anyang, located in the Yellow River region, Henan Province, China. Three cotton （Gossyplum hlrsutum L.） cultivars were chosen： hybrid Btcultlvar CRI46, conventional Btcultlvars CRI44 and CRI45. Six planting densities were designed, ranging from 1.5 to 12.0 plants/m^2. Root parameters such as surface area, diameter and length were analyzed by using the DT-SCAN Image analysis method. The root length density （RLD）, root average diameter and root area Index （RAI）, root surface area per unit land area, were studied. The results showed that RLD and RAI differed between genotypes; hybrid CRI46 had significantly higher （P 〈0.05） RLD and RAI values than conventlonal cultlvars, especially under low planting densities, less than 3.0 plants/m^2. The root area index （RAI） of hybrid CRI46 was 61% higher than of CRI44 and CRI45 at the flowering stage. The RLD and RAI were also significantly different （P = 0.000） between planting densities. The depth distribution of RAI showed that at Increasing planting densities RAI was Increasingly distributed in the soil layers below 50 cm. The RAI of hybrid CRI46 was for all planting densities, obviously higher than other cultivars during the flowering and boll stages. It was concluded that the hybrid had a strong advantage in root maintenance preventing premature senescence of roots. The root diameter of hybrid CRI46 had a genetically higher root diameter at planting densities lower than 6.0 plants/m^2. Good associations were found between yield and RAI In different stages. The optimum planting density ranged from 4.50 plants/m^2 to 6.75 plants/m^2 for conventional cultlvars and around 4.0-5.0 plants/m^2 for hybrids.

LIGHT INTERCEPTION AND USE EFFICIENCY DIFFER WITH MAIZE PLANT DENSITY IN MAIZE-PEANUT INTERCROPPING

Intercropping increases crop yields by optimizing light interception and/or use efficiency.Although intercropping combinations and metrics have been reported,the effects of plant density on light use are not well documented.Here,we examined the light interception and use efficiency in maize-peanut intercropping with different maize plant densities in two row configurations in semiarid dryland agriculture over a two-year period.The field experiment comprised four cropping systems,i.e.,monocropped maize,monocropped peanut,maize-peanut intercropping with two rows of maize and four rows of peanut,intercropping with four rows of maize and four rows of peanut,and three maize plant densities(3.0,4.5 and 6.0 plants m^(-1) row)in both monocropped and intercropping maize.The mean total light interception in intercropping across years and densities was 779 MJ·m^(-2),5.5%higher than in monocropped peanut(737 MJ·m^(-2))and 7.6%lower than in monocropped maize(843 MJ·m^(-2)).Increasing maize density increased light interception in monocropped maize but did not affect the total light interception in the intercrops.Across years the LUE of maize was 2.9 g·MJ–1 and was not affected by cropping system but increased with maize plant density.The LUE of peanut was enhanced in intercropping,especially in a wetter year.The yield advantage of maize-peanut intercropping resulted mainly from the LUE of peanut.These results will help to optimize agronomic management and system design and provide evidence for system level light use efficiency in intercropping.

COMPARING PERFORMANCE OF CROP SPECIES MIXTURES AND PURE STANDS

Intercropping is the planned cultivation of species mixtures on agricultural land.Intercropping has many attributes that make it attractive for developing a more sustainable agriculture,such as high yield,high resource use efficiency,lower input requirements,natural suppression of pests,pathogens and weeds,and building a soil with more organic carbon and nitrogen.Information is needed which species combinations perform best under different circumstances and which management is suitable to bring out the best from intercropping in a given production situation.The literature is replete with case studies on intercropping from across the globe,but evidence synthesis is needed to make this information accessible.Meta-analysis requires a careful choice of metric that is appropriate for answering the question at hand,and which lends itself for a robust meta-analysis.This paper reviews some metrics that may be used in the quantitative synthesis of literature data on intercropping.

Intercropping enables a sustainable intensification of agriculture

Intercropping is the cultivation of more than one crop species on a single parcel of land. Intercropping seeks toexploit species complementarities to capture more of the available light, water and nutrient resources, and thusincrease combined crop yield[1]. Intercropping is well known in China, where smallholder farmers practice a greatdiversity of species combinations to increase their yields[2]. Figure 1 illustrates intercropping as done by a farmer inGansu Province, China, who chose to combine wheat, soybean and maize. This three-way combination offersseveral species complementarities. First, the growing period of wheat ends earlier than that of soybean and maize,so the soybean and maize can use all the light, water and nutrient resources of the land after wheat harvest. With thewheat covering only around half of the area, the plants will still produce about 70% of the normal yield for wheatgrown as a sole crop, because the wheat has virtually no competition for resources early on, resulting in greatercapture of light, water and nutrient resources in the intercrop than in a sole crop[3]. Furthermore, soybean and maizehave a complementarity for nitrogen acquisition, with maize requiring nitrogen from soil, but soybean being able to fixit from the air. Therefore, this combination can reduce fertilizer requirements.

A conceptual framework and an empirical test of complementarity and facilitation with respect to phosphorus uptake by plant species mixtures

Plant species have different traits for mobilizing sparingly soluble phosphorus (P) resources,which could potentially lead to overyielding in P uptake by plant species mixtures compared to monocultures due to higher P uptake as a result of resource (P) partitioning and facilitation.However,there is circumstantial evidence at best for overyielding as a result of these mechanisms.Overyielding (the outcome) is easily confused with underlying mechanisms because of unclear definitions.We aimed to define a conceptual framework to separate outcome from underlying mechanisms and test it for facilitation and complementarity with respect to P acquisition by three plant species combinations grown on four soils.Our conceptual framework describes both mechanisms of complementarity and facilitation and outcomes (overyielding of mixtures or no overyielding) depending on the competitive ability of the species to uptake the mobilized P.Millet/chickpea mixtures were grown in pots on two calcareous soils mixed with calcium-bound P (CaP) and phytate P (PhyP).Cabbage/faba bean mixtures were grown on both acid and neutral soils mixed with P-coated iron (hydr)oxide (FeP) and PhyP.Wheat/maize mixtures were grown on all four soils.Rhizosphere carboxylate concentration and acid phosphatase activity (mechanisms) as well as plant P uptake and biomass (outcome) were determined for monocultures rhizosphere and species mixtures.Facilitation of P uptake occurred in millet/chickpea mixtures on one calcareous soil.We found no indications for P acquisition from different P sources,neither in millet/chickpea,nor in cabbage/faba bean mixtures.Cabbage and faba bean on the neutral soil differed in rhizosphere acid phosphatase activity and carboxylate concentration,but showed no overyielding.Wheat and maize,with similar root exudates,showed overyielding (the observed P uptake being 22%higher than the expected P uptake) on one calcareous soil.We concluded that although differences in plant physiological traits (root exudates) provide necessary conditions for complementarity and facilitation with respect to P uptake from different P sources,they do not necessarily result in increased P uptake by species mixtures,because of the relative competitive ability of the mixed species.

CROP DIVERSITY AND SUSTAINABLE AGRICULTURE:MECHANISMS,DESIGNS AND APPLICATIONS

Intensive monoculture agriculture has contributed greatly to global food supply over many decades,but the excessive use of agricultural chemicals(fertilizers,herbicides and pesticides)and intensive cultivation systems has resulted in negative side effects,such as soil erosion,soil degradation,and non-point source pollution[1].To many observers,agriculture looms as a major global threat to nature conservation and biodiversity.As noted in the Global Biodiversity Outlook 4[2],the drivers associated with food systems and agriculture account for around 70%and 50%of the projected losses by 2050 of terrestrial and freshwater biodiversity,respectively[3].