Pratylenchus thornei populations reduce water uptake in intolerant wheat cultivars

Pratylenchus thornei is a major pathogen of wheat crops in the northern grain region of Eastern Australia with an estimated annual yield loss of $38 million. Damaged crops show symptoms of water and nutrient stress that suggest uptake is significantly affected. In order to understand the mechanisms involved in reducing water uptake and consequently plant yield, detailed measurements of water extraction and leaf area were conducted on a range of wheat cultivars with differing levels of tolerance and resistance to P. thornei.

Weed–pathogen interactions and elevated CO2: growth changes in favour of the biological control agent

In this study, we used Parthenium hysterophorus and one of its biological control agents, the winter rust (Puccinia abrupta var. partheniicola) as a model system to investigate how the weed may respond to infection under a climate change scenario involving an elevated atmospheric CO2 (550 μmol mol−1) concentration. Under such a scenario, P. hysterophorus plants grew significantly taller (52%) and produced more biomass (55%) than under the ambient atmospheric CO2 concentration (380 μmol mol−1). Following winter rust infection, biomass production was reduced by 17% under the ambient and by 30% under the elevated atmospheric CO2 concentration. The production of branches and leaf area was significantly increased by 62% and 120%, under the elevated as compared with ambient CO2 concentration, but unaffected by rust infection under either condition. The photosynthesis and water use efficiency (WUE) of P. hysterophorus plants were increased by 94% and 400%, under the elevated as compared with the ambient atmospheric CO2 concentration. However, in the rust-infected plants, the photosynthesis and WUE decreased by 18% and 28%, respectively, under the elevated CO2 and were unaffected by the ambient atmospheric CO2 concentration. The results suggest that although P. hysterophorus will benefit from a future climate involving an elevation of the atmospheric CO2 concentration, it is also likely that the winter rust will perform more effectively as a biological control agent under these same conditions.

Ecological significance of rice (Oryza sativa) planting density and nitrogen rates in managing the growth and competitive ability of itchgrass (Rottboellia cochinchinensis) in direct-seeded rice systems

Current understanding is that high planting density has the potential to suppress weeds and crop-weed interactions can be exploited by adjusting fertilizer rates. We hypothesized that (a) high planting density can be used to suppress Rottboellia cochinchinensis growth and (b) rice competitiveness against this weed can be enhanced by increasing nitrogen (N) rates. We tested these hypotheses by growing R. cochinchinensis alone and in competition with four rice planting densities (0, 100, 200, and 400 plants m-2) at four N rates (0, 50, 100, and 150 kg ha-1). At 56 days after sowing (DAS), R. cochinchinensis plant height decreased by 27-50 %, tiller number by 55-76 %, leaf number by 68-84 %, leaf area by 70-83 %, leaf biomass by 26-90 %, and inflorescence biomass by 60-84 %, with rice densities ranging from 100 to 400 plants m-2. All these parameters increased with an increase in N rate. Without the addition of N, R. cochinchinensis plants were 174 % taller than rice; whereas, with added N, they were 233 % taller. Added N favored more weed biomass production relative to rice. R. cochinchinensis grew taller than rice (at all N rates) to avoid shade, which suggests that it is a "shade-avoiding" plant. R. cochinchinensis showed this ability to reduce the effect of rice interference through increased leaf weight ratio, specific stem length, and decreased root-shoot weight ratio. This weed is more responsive to N fertilizer than rice. Therefore, farmers should give special consideration to the application timing of N fertilizer when more N-responsive weeds are present in their field. Results suggest that the growth and seed production of R. cochinchinensis can be decreased considerably by increasing rice density to 400 plants m-2. There is a need to integrate different weed control measures to achieve complete control of this noxious weed.

Stay-green alleles individually enhance grain yield in sorghum under drought by modifying canopy development and water uptake patterns

* Stay-green is an integrated drought adaptation trait characterized by a distinct green leaf phenotype during grain filling under terminal drought. We used sorghum (Sorghum bicolor), a repository of drought adaptation mechanisms, to elucidate the physiological and genetic mechanisms underpinning stay-green. * Near-isogenic sorghum lines (cv RTx7000) were characterized in a series of field and managed-environment trials (seven experiments and 14 environments) to determine the influence of four individual stay-green (Stg1–4) quantitative trait loci (QTLs) on canopy development, water use and grain yield under post-anthesis drought. * The Stg QTL decreased tillering and the size of upper leaves, which reduced canopy size at anthesis. This reduction in transpirational leaf area conserved soil water before anthesis for use during grain filling. Increased water uptake during grain filling of Stg near-isogenic lines (NILs) relative to RTx7000 resulted in higher post-anthesis biomass production, grain number and yield. Importantly, there was no consistent yield penalty associated with the Stg QTL in the irrigated control. * These results establish a link between the role of the Stg QTL in modifying canopy development and the subsequent impact on crop water use patterns and grain yield under terminal drought.

Remote sensing of boreal land cover: estimation of forest attributes and extent

Remote sensing provides methods to infer land cover information over large geographical areas at a variety of spatial and temporal resolutions. Land cover is input data for a range of environmental models and information on land cover dynamics is required for monitoring the implications of global change. Such data are also essential in support of environmental management and policymaking. Boreal forests are a key component of the global climate and a major sink of carbon. The northern latitudes are expected to experience a disproportionate and rapid warming, which can have a major impact on vegetation at forest limits. This thesis examines the use of optical remote sensing for estimating aboveground biomass, leaf area index (LAI), tree cover and tree height in the boreal forests and tundra taiga transition zone in Finland. The continuous fields of forest attributes are required, for example, to improve the mapping of forest extent. The thesis focus on studying the feasibility of satellite data at multiple spatial resolutions, assessing the potential of multispectral, -angular and -temporal information, and provides regional evaluation for global land cover data. Preprocessed ASTER, MISR and MODIS products are the principal satellite data. The reference data consist of field measurements, forest inventory data and fine resolution land cover maps. Fine resolution studies demonstrate how statistical relationships between biomass and satellite data are relatively strong in single species and low biomass mountain birch forests in comparison to higher biomass coniferous stands. The combination of forest stand data and fine resolution ASTER images provides a method for biomass estimation using medium resolution MODIS data. The multiangular data improve the accuracy of land cover mapping in the sparsely forested tundra taiga transition zone, particularly in mires. Similarly, multitemporal data improve the accuracy of coarse resolution tree cover estimates in comparison to single date data. Furthermore, the peak of the growing season is not necessarily the optimal time for land cover mapping in the northern boreal regions. The evaluated coarse resolution land cover data sets have considerable shortcomings in northernmost Finland and should be used with caution in similar regions. The quantitative reference data and upscaling methods for integrating multiresolution data are required for calibration of statistical models and evaluation of land cover data sets. The preprocessed image products have potential for wider use as they can considerably reduce the time and effort used for data processing.

Growth analysis and biomass partitioning of Cyperus iria in response to rice planting density and nitrogen rate

Cyperus iria is a weed of rice with widespread occurrence throughout the world. Because of concerns about excessive and injudicious use of herbicides, cultural weed management approaches that are safe and economical are needed. Developing such approaches will require a better understanding of weed biology and ecology, as well as of weed response to increases in crop density and nutrition. Knowledge of the effects of nitrogen (N) fertilizer on crop-weed competitive interactions could also help in the development of integrated weed management strategies. The present study was conducted in a screenhouse to determine the effects of rice planting density (0, 5, 10, and 20 plants pot−1) and N rate (0, 50, 100, and 150 kg ha−1) on the growth of C. iria. Tiller number per plant decreased by 73–88%, leaf number by 85–94%, leaf area by 85–98%, leaf biomass by 92–99%, and inflorescence biomass by 96–99% when weed plants were grown at 20 rice plants pot−1 (i.e., 400 plants m−2) compared with weed plants grown alone. All of these parameters increased when N rates were increased. On average, weed biomass increased by 118–389% and rice biomass by 121–275% with application of 50–150 kg N ha−1, compared to control. Addition of N favored weed biomass production relative to rice biomass. Increased N rates reduced the root-to-shoot weight ratio of C. iria. Rice interference reduced weed growth and biomass and completely suppressed C. iria when no N was applied at high planting densities (i.e., 20 plants pot−1). The weed showed phenotypic plasticity in response to N application, and the addition of N increased the competitive ability of the weed over rice at densities of 5 and 10 rice plants pot−1 compared with 20 plants pot−1. The results of the present study suggest that high rice density (i.e., 400 plants m−2) can help suppress C. iria growth even at high N rates (150 kg ha−1).

Integrating pest population models with biophysical crop models to better represent the farming system

Farming systems frameworks such as the Agricultural Production Systems simulator (APSIM) represent fluxes through the soil, plant and atmosphere of the system well, but do not generally consider the biotic constraints that function within the system. We designed a method that allowed population models built in DYMEX to interact with APSIM. The simulator engine component of the DYMEX population-modelling platform was wrapped within an APSIM module allowing it to get and set variable values in other APSIM models running in the simulation. A rust model developed in DYMEX is used to demonstrate how the developing rust population reduces the crop's green leaf area. The success of the linking process is seen in the interaction of the two models and how changes in rust population on the crop's leaves feedback to the APSIM crop modifying the growth and development of the crop's leaf area. This linking of population models to simulate pest populations and biophysical models to simulate crop growth and development increases the complexity of the simulation, but provides a tool to investigate biotic constraints within farming systems and further moves APSIM towards being an agro-ecological framework.

Evaluation of methods to estimate foliage density in the understorey of a tropical evergreen forest

Foliage density and leaf area index are important vegetation structure variables. They can be measured by several methods but few have been tested in tropical forests which have high structural heterogeneity. In this study, foliage density estimates by two indirect methods, the point quadrat and photographic methods, were compared with those obtained by direct leaf counts in the understorey of a wet evergreen forest in southern India. The point quadrat method has a tendency to overestimate, whereas the photographic method consistently and ignificantly underestimates foliage density. There was stratification within the understorey, with areas close to the ground having higher foliage densities.

Monitoring Indigenous Tropical Montane Forests in the Taita Hills Using Airborne Digital Camera Imagery

The loss and degradation of forest cover is currently a globally recognised problem. The fragmentation of forests is further affecting the biodiversity and well-being of the ecosystems also in Kenya. This study focuses on two indigenous tropical montane forests in the Taita Hills in southeastern Kenya. The study is a part of the TAITA-project within the Department of Geography in the University of Helsinki. The study forests, Ngangao and Chawia, are studied by remote sensing and GIS methods. The main data includes black and white aerial photography from 1955 and true colour digital camera data from 2004. This data is used to produce aerial mosaics from the study areas. The land cover of these study areas is studied by visual interpretation, pixel-based supervised classification and object-oriented supervised classification. The change of the forest cover is studied with GIS methods using the visual interpretations from 1955 and 2004. Furthermore, the present state of the study forests is assessed with leaf area index and canopy closure parameters retrieved from hemispherical photographs as well as with additional, previously collected forest health monitoring data. The canopy parameters are also compared with textural parameters from digital aerial mosaics. This study concludes that the classification of forest areas by using true colour data is not an easy task although the digital aerial mosaics are proved to be very accurate. The best classifications are still achieved with visual interpretation methods as the accuracies of the pixel-based and object-oriented supervised classification methods are not satisfying. According to the change detection of the land cover in the study areas, the area of indigenous woodland in both forests has decreased in 1955 2004. However in Ngangao, the overall woodland area has grown mainly because of plantations of exotic species. In general, the land cover of both study areas is more fragmented in 2004 than in 1955. Although the forest area has decreased, forests seem to have a more optimistic future than before. This is due to the increasing appreciation of the forest areas.

Parameter estimation of a two-horizon soil profile by combining crop canopy and surface soil moisture observations using GLUE

Estimation of soil parameters by inverse modeling using observations on either surface soil moisture or crop variables has been successfully attempted in many studies, but difficulties to estimate root zone properties arise when heterogeneous layered soils are considered. The objective of this study was to explore the potential of combining observations on surface soil moisture and crop variables - leaf area index (LAI) and above-ground biomass for estimating soil parameters (water holding capacity and soil depth) in a two-layered soil system using inversion of the crop model STICS. This was performed using GLUE method on a synthetic data set on varying soil types and on a data set from a field experiment carried out in two maize plots in South India. The main results were (i) combination of surface soil moisture and above-ground biomass provided consistently good estimates with small uncertainity of soil properties for the two soil layers, for a wide range of soil paramater values, both in the synthetic and the field experiment, (ii) above-ground biomass was found to give relatively better estimates and lower uncertainty than LAI when combined with surface soil moisture, especially for estimation of soil depth, (iii) surface soil moisture data, either alone or combined with crop variables, provided a very good estimate of the water holding capacity of the upper soil layer with very small uncertainty whereas using the surface soil moisture alone gave very poor estimates of the soil properties of the deeper layer, and (iv) using crop variables alone (else above-ground biomass or LAI) provided reasonable estimates of the deeper layer properties depending on the soil type but provided poor estimates of the first layer properties. The robustness of combining observations of the surface soil moisture and the above-ground biomass for estimating two layer soil properties, which was demonstrated using both synthetic and field experiments in this study, needs now to be tested for a broader range of climatic conditions and crop types, to assess its potential for spatial applications. (C) 2012 Elsevier B.V. All rights reserved.

Comparative evaluation of inversion approaches of the radiative transfer model for estimation of crop biophysical parameters

The inversion of canopy reflectance models is widely used for the retrieval of vegetation properties from remote sensing. This study evaluates the retrieval of soybean biophysical variables of leaf area index, leaf chlorophyll content, canopy chlorophyll content, and equivalent leaf water thickness from proximal reflectance data integrated broadbands corresponding to moderate resolution imaging spectroradiometer, thematic mapper, and linear imaging self scanning sensors through inversion of the canopy radiative transfer model, PROSAIL. Three different inversion approaches namely the look-up table, genetic algorithm, and artificial neural network were used and performances were evaluated. Application of the genetic algorithm for crop parameter retrieval is a new attempt among the variety of optimization problems in remote sensing which have been successfully demonstrated in the present study. Its performance was as good as that of the look-up table approach and the artificial neural network was a poor performer. The general order of estimation accuracy for para-meters irrespective of inversion approaches was leaf area index > canopy chlorophyll content > leaf chlorophyll content > equivalent leaf water thickness. Performance of inversion was comparable for broadband reflectances of all three sensors in the optical region with insignificant differences in estimation accuracy among them.

Evaluación de la eficacia de la técnica de floating system para la producción de radicchio rosso var. di Verona en condiciones controladas

La técnica de producción en Floating system constituye una alternativa económica y veloz de producción en hidroponia. Este sistema permite obtener hojas de vegetales de pequeño tamaño “Baby leaf” listas para consumir (IV Gama), cuyo consumo a nivel mundial muestra una tendencia creciente. Dicha técnica no se encuentra aún muy difundida para la producción de radicchio rosso. El objetivo de este trabajo fue evaluar el efecto del tamaño de celda, del substrato y de la técnica de floating system sobre la producción de radicchio. Los ensayos se realizaron en cámara a 25 ºC con un fotoperíodo de 16 hs de luz y 8 de oscuridad y con una intensidad de luz de 10 000 Lux. Se utilizó un diseño experimental factorial totalmente aleatorizado, con 5 repeticiones y 3 factores, cuyos niveles fueron: 1) Tamaño de celda, (T), con 3 niveles: grande, mediano y pequeño, 2) Técnica de producción, (F), con 2 niveles: floating system y sistema convencional, 3) Sustrato, (S), con 2 niveles: vermiculita y mezcla. Se analizaron las siguientes variables: 1) peso fresco, 2) peso seco, 3) largo de planta, 4) número de hojas y 5) área foliar. Los resultados obtenidos resultan alentadores respecto del empleo de la técnica de floating system. Para la obtención de plántulas con calidad de IV Gama resulta más conveniente el empleo de celdas de 80 cm3 y sustrato mezcla.

Adaburuaren eta orbelaren euri interzepzioa haritzean (Quercus robur) eta intsinis pinuan (Pinus radiata)

Zuhaitz adaburuaren interzepzioak oihanpera prezipitazio osoaren frakzio bat soilik pasatzea eragiten du, gainerakoa lurrunketaz galtzen baita. Oihanpera pasatzen den ur horren parte bat ere lurzoruko orbelak interzeptatzen du. Espezie arteko konparaketa bat egiteko asmoz, adaburuaren eta orbelaren euri interzepzioa neurtu zen haritzean (Quercus robur) eta pinuan (Pinus radiata), sei euriteetako datuak aintzat hartuz (hiru neguan eta beste hiru udaberrian, haritzak hostoak zituenean). Horrez gain, laborategian bi orbel moten ur-erretentzio ahalmen maximoa (S) neurtu zen. Adaburuaren interzepzioa % 37koa izan zen haritzean eta % 24koa pinuan. Haritzean interzepzioa handiagoa izan zen udaberrian neguan baino, pinuan berdina izan zen bitartean. Azken honetan Hosto Azalera Indizearen (Leaf Area Index, LAI) balio altuago batek interzepzio altuagoa eragin zuen, haritzean erlazio hori behatu ez zelarik neurturiko LAI balioak homogeneoegiak zirelako seguruenik. Orbelaren interzepzioak prezipitazio osoaren % 2,1 eta % 1,5 suposatu zuen haritzean eta pinuan hurrenez hurren. Orbelaren gain eroritako ur kantitatea (throughfall) handitzean, interzepzioa handitu zen, maximo batera heldu arte (2,5 mm kg-1 m2-koa haritzean eta 1,8 mm kg-1 m2-koa pinuan). Adaburu motak, berriz, ez zuen eragin esangarririk izan, haritz azpian, pinu azpian eta klaroetan orbelak antzeko interzepzioa aurkeztu zuelarik. Ur-erretentzio ahalmen maximoa haritzean handiagoa izan zen, 4,7 eta 5,6 mm kg-1 m2 artekoa pinuaren 2,8 eta 3,1 mm kg-1 m2 arteko balioen aurrean. Pinuaren balio horiek antzekoak izan ziren orbel geruzaren sakonera edozein zela ere, baina haritzean, orbel sakonera handiagoarekin balio baxuagoak lortu ziren. Bi espezieen artean behaturiko ezberdintasunek iradokitzen dute harizti naturalak pinu landaketez ordezkatzeak ziklo hidrologikoa aldaraz dezakeela.

Intercepción de la lluvia del dosel arbóreo y la hojarasca

[es]La intercepción de la lluvia, tanto por el dosel como por la hojarasca, es un proceso importante que influye en las condiciones de humedad del suelo, ya que una parte vuelve mediante evaporación a la atmosfera. Por lo tanto el objetivo de este estudio es profundizar más en el conocimiento de la capacidad de almacenaje e intercepción de los robles (Quercus robur) y en especial analizar si el tamaño de los árboles influye la intercepción. El estudio se llevo a cabo en dos robledales diferenciados por su tamaño durante tres estaciones del año: otoño, invierno y primavera (2014-2015) en las que se obtuvieron medidas de intercepción del dosel de la precipitación. También se obtuvieron muestras de hoja verde y hojarasca con objeto de calcular su capacidad máxima de retención de agua. Los resultados mostraron que el tamaño de los árboles es una característica que influye en el Índice de área foliar (LAI), y por tanto en la intercepción, pero que su efecto parece ser menos importante que el efecto causado por la variabilidad del volumen de lluvia. Del mismo modo, la intercepción relativa (en relación al volumen de lluvia) dependió de la interacción entre la estacionalidad y el tamaño de los árboles. Finalmente, la cantidad máxima de almacenamiento de agua fue mayor en la hojarasca que en la hoja verde, siendo mayor en el robledal de mayor tamaño al presentar significativamente mayor cantidad de hojarasca acumulada.

内蒙古高原成熟和退化羊草草原群落物种功能特性与土壤微生物量C、N、P对氮素添加响应

氮素是大多数陆地生态系统初级生产力的主要限制因子。由于人类的工业和农业生产活动不断加剧，导致全球性氮沉降增加，使大多数生态系统氮素的可获得性增强。从而降低或消除了氮素对生态系统的限制作用，加速了生态系统生物地球化学过程，对物种多样性和生态系统结构与功能产生了显著的影响。但由于成土母质、气候条件、地形地貌、植被组成等的差异，不同生态系统类型对氮素增加的响应也不尽相同。欧洲和北美一些发达国家地区对于草地生态系统对于全球性氮沉降增加响应进行了较全面的研究，对于分布广泛的欧亚大陆草原研究相对不足。 本文研究选择对于欧亚大陆草原较具代表性的成熟羊草草原群落及该群落的退化类型为研究对象，从1999年开始，在这两类群落中选取地形相对平缓均一，植被组成一致的地段设置了施肥小区并进行持续氮素添加实验。本文研究了成熟和退化羊草草原群落物种功能特性与土壤微生物量C、N、P对氮素添加响应。 羊草群落中6种主要植物的地上生物量、种群密度、比叶面积、叶氮和叶绿素含量对于氮素添加响应以及各指标之间相关关系的分析表明：比叶面积、基于质量的叶片含氮量和叶绿素含量、叶绿素a和叶绿素b的比值等叶片水平上物种功能特性间的相互作用，共同影响和决定了种群密度和地上生物量对氮素添加的响应。羊草通过提高比叶面积、叶片叶绿素含量和含氮量、种群密度及个体生物量等多重调节功能对氮素添加做出响应。西伯利亚羽茅主要通过提高比叶面积、单位质量叶片的叶绿素含量和含氮量，以及株丛生物量，使其在群落占据优势。大针茅和冰草在提高比叶面积、叶片叶绿素含量和含氮量的调节能力相对较低，种群密度沿氮素添加梯度显著降低。黄囊苔草只能通过提高叶片叶绿素含量和含氮量对氮素添加做出响应，其叶绿素a与叶绿素b的比值沿氮素添加梯度逐渐降低，种群密度和地上生物量也显著降低。糙隐子草的叶绿素a与叶绿素b比值沿氮素添加梯度显著降低，但由于糙隐子草具有较高的SLA，且对叶绿素、叶片含氮量的调节能力较强，氮素添加处理没有对其种群密度和地上生物量产生显著的影响。上述结果支持Tilman的光资源竞争假说和Knops等的物种替代假说。 成熟和退化羊草群落土壤微生物量、土壤有机碳、全氮、全磷、速效氮、pH以及凋落物碳、氮、磷含量的测定结果表明：（1）成熟羊草群落表层土壤微生物量碳、氮、磷含量均随氮素添加量的增加而降低;退化羊草群落表层土壤微生物量碳、氮、磷含量沿氮素梯度表现出先增加而后降低的趋势;相关分析的结果显示各群落土壤微生物量碳、氮、磷均与土壤pH呈显著的正相关。（2）微生物量碳、氮、磷含量均随土层深度的增加而下将;而对照的微生物量碳、氮、磷含量则与土壤有机质含量呈显著正相关。（3）年度间降水量差异对土壤微生物量碳、氮、磷具有较大影响。综合上述研究结果，我们认为成熟羊草群落土壤微生物生长不受氮素限制，但退化群落不同;氮素添加导致的土壤酸化作用可能是两类群落表层土壤微生物量下降的主要因素，且这种影响主要集中在0-10cm的表层土壤;表层土壤微生物量碳、氮、磷对氮素添加的响应可能还受到其它因子（如生长季降水量）的影响;深层土壤微生物量较低主要是由于土壤有机质含量较低的缘故。