Aplicação foliar e em cobertura de nitrogênio na cultura do trigo no cerrado

The nitrogen in wheat is essential for obtaining high yields, not only the dose but also the time and the way of application are critical, reducing potential leaching and the cost of production. The objective is evaluating leaf and sidedressing nitrogen application on wheat crop in years of 2006 and 2007. A randomized blocks design in a factorial scheme 5x3x2 was used. The treatments consisted of five doses of nitrogen in the solution (0; 2.5; 5.0; 7.5 and 10%), three application times (at tillering: 30 days after plant emergency (DAE), at full flowering (50 DAE) + in the beginning of grain formation (70 DAE) and at tillering + in the beginning of grain formation), with and without sidedressing nitrogen applied at 40 DAE, using urea as source. They were evaluated: chlorophyll and nitrogen content in leaf, number of spikelets per ear, number of grains per ear, mass of grains per ear, number of grains per spikelet, mass hectolitric, mass of 100 grains and productivity of grains. The application of nitrogen topdressing in both years, influenced the yield characteristics of wheat. The times of leaf nitrogen only affected the leaf N content. The leaf nitrogen concentrations increased linearly the number of grains per spikelets, grains per spike, chlorophyll content, grain weight per ear and grain yield, and reduced mean weight per hectoliter, only in 2007.

Nutrição e produtividade da cultura do milho em sistemas de culturas e fontes de adubação

A utilização de esterco animal na agricultura, aliada ao cultivo de plantas de cobertura, pode conferir sustentabilidade ao sistema agrícola. Com o objetivo de avaliar o efeito de dois sistemas de culturas e de três fontes de nutrientes, na cultura do milho, conduziu-se um experimento, em Latossolo Vermelho, no município de Marechal Cândido Rondon (PR). O delineamento experimental utilizado foi de blocos casualizados, com quatro repetições, e, os tratamentos, dispostos em esquema fatorial 2 x 3, compostos por dois sistemas de culturas (sucessão trigo/milho e consórcio aveia+ervilhaca+nabo/milho) e três fontes de nutrientes (mineral, orgânica e organomineral). em junho de 2006, implantou-se a cultura do trigo e o consórcio de plantas de cobertura. em outubro de 2006, semeou-se milho sob os dois sistemas. As adubações orgânica e organomineral consistiram na aplicação de dejetos de suínos, unicamente, e combinada com fertilizante mineral, respectivamente. O consórcio de aveia preta, ervilhaca peluda e nabo forrageiro mostrou-se capaz de fornecer a quantidade adequada de biomassa, concretizando sua viabilidade para produção de cobertura vegetal ao solo, durante o inverno. O cultivo de milho em sucessão ao trigo proporcionou a maior absorção de N e K e a maior produtividade. A adubação mineral proporcionou maior absorção de N e maior produtividade de milho, em comparação com as adubações orgânica e organomineral com dejetos de suínos.

Interação silício-imidacloprid no comportamento biológico e alimentar de Schizaphis Graminum (Rond.) (Hemiptera: Aphididae) em plantas de trigo

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Resposta de cultivares de trigo ao nitrogênio com e sem tratamento fúngico

The fungicide can enhance response of nitrogen fertilization on wheat crop, since the application of higher N rates can provide better conditions for the development of some diseases. The present study investigated the effects of different nitrogen doses and fungicide application in preventive character on the yield of two cultivars of wheat irrigated, in Savannah conditions. The experiment was conducted in Selvíria - MS, in a Distrophic Red Latosol (Typic Haplustox). Treatments were arranged in a randomized block design, in a 4x2x2 factorial scheme: four N rates (0, 60, 120 and 180 kg ha-1), topdressing at the early boot stage as urea, two wheat cultivars (IAC 24 and IAC 370), and with and without fungicide application (Tebuconazole and Triciclazol), with four replications. The cultivars IAC 24 and IAC 370 present similar grain yield. The increase of N doses influences the mass hectoliter negatively and the leaf N content and number of ears per m2 positively. The increment of N doses increase the grain yield up to dose of 116 kg ha -1 of N, regardless of cultivar and of the fungicide application in preventive character, due to non occurrence of diseases in the experiment.

Aplicação de bioestimulante e sua relação com a adubação nitrogenada nas culturas do feijão e do trigo

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Condições de aplicação de água em cinco cultivares de trigo em ambiente protegido

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Assistência de ar em barra, ângulo e volume de pulverização no controle de doenças e na produtividade da cultura do trigo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Sistemas de cultivo para o milho de primeira safra e doses de nitrogênio em feijoeiro e trigo em sucessão

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Adjuvantes em pulverizações de fungicidas na cultura do trigo

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Desempenho agronômico do milho e do trigo em função da inoculação com azospirillum brasilense e doses e fontes de nitrogênio

Pós-graduação em Agronomia - FEIS

Generalización de variables medioambientales mediante interpolación GIS

La investigación de esta tesis se centra en el estudio de técnicas geoestadísticas y su contribución a una mayor caracterización del binomio factores climáticos-rendimiento de un cultivo agrícola. El inexorable vínculo entre la variabilidad climática y la producción agrícola cobra especial relevancia en estudios sobre el cambio climático o en la modelización de cultivos para dar respuesta a escenarios futuros de producción mundial. Es información especialmente valiosa en sistemas operacionales de monitoreo y predicción de rendimientos de cultivos Los cuales son actualmente uno de los pilares operacionales en los que se sustenta la agricultura y seguridad alimentaria mundial; ya que su objetivo final es el de proporcionar información imparcial y fiable para la regularización de mercados. Es en este contexto, donde se quiso dar un enfoque alternativo a estudios, que con distintos planteamientos, analizan la relación inter-anual clima vs producción. Así, se sustituyó la dimensión tiempo por la espacio, re-orientando el análisis estadístico de correlación interanual entre rendimiento y factores climáticos, por el estudio de la correlación inter-regional entre ambas variables. Se utilizó para ello una técnica estadística relativamente nueva y no muy aplicada en investigaciones similares, llamada regresión ponderada geográficamente (GWR, siglas en inglés de “Geographically weighted regression”). Se obtuvieron superficies continuas de las variables climáticas acumuladas en determinados periodos fenológicos, que fueron seleccionados por ser factores clave en el desarrollo vegetativo de un cultivo. Por ello, la primera parte de la tesis, consistió en un análisis exploratorio sobre comparación de Métodos de Interpolación Espacial (MIE). Partiendo de la hipótesis de que existe la variabilidad espacial de la relación entre factores climáticos y rendimiento, el objetivo principal de esta tesis, fue el de establecer en qué medida los MIE y otros métodos geoestadísticos de regresión local, pueden ayudar por un lado, a alcanzar un mayor entendimiento del binomio clima-rendimiento del trigo blando (Triticum aestivum L.) al incorporar en dicha relación el componente espacial; y por otro, a caracterizar la variación de los principales factores climáticos limitantes en el crecimiento del trigo blando, acumulados éstos en cuatro periodos fenológicos. Para lleva a cabo esto, una gran carga operacional en la investigación de la tesis consistió en homogeneizar y hacer los datos fenológicos, climáticos y estadísticas agrícolas comparables tanto a escala espacial como a escala temporal. Para España y los Bálticos se recolectaron y calcularon datos diarios de precipitación, temperatura máxima y mínima, evapotranspiración y radiación solar en las estaciones meteorológicas disponibles. Se dispuso de una serie temporal que coincidía con los mismos años recolectados en las estadísticas agrícolas, es decir, 14 años contados desde 2000 a 2013 (hasta 2011 en los Bálticos). Se superpuso la malla de información fenológica de cuadrícula 25 km con la ubicación de las estaciones meteorológicas con el fin de conocer los valores fenológicos en cada una de las estaciones disponibles. Hecho esto, para cada año de la serie temporal disponible se calcularon los valores climáticos diarios acumulados en cada uno de los cuatro periodos fenológicos seleccionados P1 (ciclo completo), P2 (emergencia-madurez), P3 (floración) y P4 (floraciónmadurez). Se calculó la superficie interpolada por el conjunto de métodos seleccionados en la comparación: técnicas deterministas convencionales, kriging ordinario y cokriging ordinario ponderado por la altitud. Seleccionados los métodos más eficaces, se calculó a nivel de provincias las variables climatológicas interpoladas. Y se realizaron las regresiones locales GWR para cuantificar, explorar y modelar las relaciones espaciales entre el rendimiento del trigo y las variables climáticas acumuladas en los cuatro periodos fenológicos. Al comparar la eficiencia de los MIE no destaca una técnica por encima del resto como la que proporcione el menor error en su predicción. Ahora bien, considerando los tres indicadores de calidad de los MIE estudiados se han identificado los métodos más efectivos. En el caso de la precipitación, es la técnica geoestadística cokriging la más idónea en la mayoría de los casos. De manera unánime, la interpolación determinista en función radial (spline regularizado) fue la técnica que mejor describía la superficie de precipitación acumulada en los cuatro periodos fenológicos. Los resultados son más heterogéneos para la evapotranspiración y radiación. Los métodos idóneos para estas se reparten entre el Inverse Distance Weighting (IDW), IDW ponderado por la altitud y el Ordinary Kriging (OK). También, se identificó que para la mayoría de los casos en que el error del Ordinary CoKriging (COK) era mayor que el del OK su eficacia es comparable a la del OK en términos de error y el requerimiento computacional de este último es mucho menor. Se pudo confirmar que existe la variabilidad espacial inter-regional entre factores climáticos y el rendimiento del trigo blando tanto en España como en los Bálticos. La herramienta estadística GWR fue capaz de reproducir esta variabilidad con un rendimiento lo suficientemente significativo como para considerarla una herramienta válida en futuros estudios. No obstante, se identificaron ciertas limitaciones en la misma respecto a la información que devuelve el programa a nivel local y que no permite desgranar todo el detalle sobre la ejecución del mismo. Los indicadores y periodos fenológicos que mejor pudieron reproducir la variabilidad espacial del rendimiento en España y Bálticos, arrojaron aún, una mayor credibilidad a los resultados obtenidos y a la eficacia del GWR, ya que estaban en línea con el conocimiento agronómico sobre el cultivo del trigo blando en sistemas agrícolas mediterráneos y norteuropeos. Así, en España, el indicador más robusto fue el balance climático hídrico Climatic Water Balance) acumulado éste, durante el periodo de crecimiento (entre la emergencia y madurez). Aunque se identificó la etapa clave de la floración como el periodo en el que las variables climáticas acumuladas proporcionaban un mayor poder explicativo del modelo GWR. Sin embargo, en los Bálticos, países donde el principal factor limitante en su agricultura es el bajo número de días de crecimiento efectivo, el indicador más efectivo fue la radiación acumulada a lo largo de todo el ciclo de crecimiento (entre la emergencia y madurez). Para el trigo en regadío no existe ninguna combinación que pueda explicar más allá del 30% de la variación del rendimiento en España. Poder demostrar que existe un comportamiento heterogéneo en la relación inter-regional entre el rendimiento y principales variables climáticas, podría contribuir a uno de los mayores desafíos a los que se enfrentan, a día de hoy, los sistemas operacionales de monitoreo y predicción de rendimientos de cultivos, y éste es el de poder reducir la escala espacial de predicción, de un nivel nacional a otro regional. ABSTRACT This thesis explores geostatistical techniques and their contribution to a better characterization of the relationship between climate factors and agricultural crop yields. The crucial link between climate variability and crop production plays a key role in climate change research as well as in crops modelling towards the future global production scenarios. This information is particularly important for monitoring and forecasting operational crop systems. These geostatistical techniques are currently one of the most fundamental operational systems on which global agriculture and food security rely on; with the final aim of providing neutral and reliable information for food market controls, thus avoiding financial speculation of nourishments of primary necessity. Within this context the present thesis aims to provide an alternative approach to the existing body of research examining the relationship between inter-annual climate and production. Therefore, the temporal dimension was replaced for the spatial dimension, re-orienting the statistical analysis of the inter-annual relationship between crops yields and climate factors to an inter-regional correlation between these two variables. Geographically weighted regression, which is a relatively new statistical technique and which has rarely been used in previous research on this topic was used in the current study. Continuous surface values of the climate accumulated variables in specific phenological periods were obtained. These specific periods were selected because they are key factors in the development of vegetative crop. Therefore, the first part of this thesis presents an exploratory analysis regarding the comparability of spatial interpolation methods (SIM) among diverse SIMs and alternative geostatistical methodologies. Given the premise that spatial variability of the relationship between climate factors and crop production exists, the primary aim of this thesis was to examine the extent to which the SIM and other geostatistical methods of local regression (which are integrated tools of the GIS software) are useful in relating crop production and climate variables. The usefulness of these methods was examined in two ways; on one hand the way this information could help to achieve higher production of the white wheat binomial (Triticum aestivum L.) by incorporating the spatial component in the examination of the above-mentioned relationship. On the other hand, the way it helps with the characterization of the key limiting climate factors of soft wheat growth which were analysed in four phenological periods. To achieve this aim, an important operational workload of this thesis consisted in the homogenization and obtention of comparable phenological and climate data, as well as agricultural statistics, which made heavy operational demands. For Spain and the Baltic countries, data on precipitation, maximum and minimum temperature, evapotranspiration and solar radiation from the available meteorological stations were gathered and calculated. A temporal serial approach was taken. These temporal series aligned with the years that agriculture statistics had previously gathered, these being 14 years from 2000 to 2013 (until 2011 for the Baltic countries). This temporal series was mapped with a phenological 25 km grid that had the location of the meteorological stations with the objective of obtaining the phenological values in each of the available stations. Following this procedure, the daily accumulated climate values for each of the four selected phenological periods were calculated; namely P1 (complete cycle), P2 (emergency-maturity), P3 (flowering) and P4 (flowering- maturity). The interpolated surface was then calculated using the set of selected methodologies for the comparison: deterministic conventional techniques, ordinary kriging and ordinary cokriging weighted by height. Once the most effective methods had been selected, the level of the interpolated climate variables was calculated. Local GWR regressions were calculated to quantify, examine and model the spatial relationships between soft wheat production and the accumulated variables in each of the four selected phenological periods. Results from the comparison among the SIMs revealed that no particular technique seems more favourable in terms of accuracy of prediction. However, when the three quality indicators of the compared SIMs are considered, some methodologies appeared to be more efficient than others. Regarding precipitation results, cokriging was the most accurate geostatistical technique for the majority of the cases. Deterministic interpolation in its radial function (controlled spline) was the most accurate technique for describing the accumulated precipitation surface in all phenological periods. However, results are more heterogeneous for the evapotranspiration and radiation methodologies. The most appropriate technique for these forecasts are the Inverse Distance Weighting (IDW), weighted IDW by height and the Ordinary Kriging (OK). Furthermore, it was found that for the majority of the cases where the Ordinary CoKriging (COK) error was larger than that of the OK, its efficacy was comparable to that of the OK in terms of error while the computational demands of the latter was much lower. The existing spatial inter-regional variability between climate factors and soft wheat production was confirmed for both Spain and the Baltic countries. The GWR statistic tool reproduced this variability with an outcome significative enough as to be considered a valid tool for future studies. Nevertheless, this tool also had some limitations with regards to the information delivered by the programme because it did not allow for a detailed break-down of its procedure. The indicators and phenological periods that best reproduced the spatial variability of yields in Spain and the Baltic countries made the results and the efficiency of the GWR statistical tool even more reliable, despite the fact that these were already aligned with the agricultural knowledge about soft wheat crop under mediterranean and northeuropean agricultural systems. Thus, for Spain, the most robust indicator was the Climatic Water Balance outcome accumulated throughout the growing period (between emergency and maturity). Although the flowering period was the phase that best explained the accumulated climate variables in the GWR model. For the Baltic countries where the main limiting agricultural factor is the number of days of effective growth, the most effective indicator was the accumulated radiation throughout the entire growing cycle (between emergency and maturity). For the irrigated soft wheat there was no combination capable of explaining above the 30% of variation of the production in Spain. The fact that the pattern of the inter-regional relationship between the crop production and key climate variables is heterogeneous within a country could contribute to one is one of the greatest challenges that the monitoring and forecasting operational systems for crop production face nowadays. The present findings suggest that the solution may lay in downscaling the spatial target scale from a national to a regional level.

The agricultural outlook /

Caption title.

Arquiteturas do trigo: espaços de silagem no Alentejo, do século XIX à atualidade

O presente trabalho de investigação apresenta um estudo sistemático da expressão arquitetónica que teve na região do Alentejo a implantação agro-industrial da cultura do trigo, em especial, durante a "Campanha do Trigo", iniciada em 1929 e prosseguida durante o Estado Novo, até 1969. Para tanto, procede ao mapeamento dos elementos edificados, em ligação com os processos de produção, silagem e moagem industrial do trigo, bem como ao seu transporte, estabelecendo uma análise comparativa com outras regiões e países, com o intuito de revelar o impacto destes equipamentos nos diversos territórios e paisagens. Assim, procura-se compreender as relações que se estabeleceram entre a forma arquitetónica do silo (cujo desenho resulta fundamentalmente de uma resposta programática intrinsecamente ligada à sua função primordial - armazenamento do cereal) e os lugares, onde se implantaram e com os quais se procuraram articular, e as paisagens, com as quais perspetivaram dialogar. Para tal, procede-se a descrição do estado atual de cada exemplar das denominadas "arquiteturas do trigo", com o objetivo de gerar, num primeiro nível, o entendimento de cada caso em particular e, posteriormente, estabelecer, por efeito de comparação, um confronto, quer entre os diferentes contextos em que se inserem, quer entre as suas caraterísticas formais, de modo a tirar ilações que possibilitem problematizar o seu uso futuro, equacionando diferentes perspetivas de atuação sobre o edificado. Finalmente procura-se introduzir uma discussão segundo diferentes orientações e posicionamentos, de modo a invocar perspetivas de atuação sobre os silos, que se adequem a cada situação específica, a cada contexto e a cada lugar. É no confronto entre as abordagens enunciadas, que se evidencia, mais do que a pertinência, a emergência social e cultural de uma ação diligente, quer ao nível particular de cada peça silar, quer do sistema, do qual era parte integrante a linha de caminho de ferro, que através do seu traçado permitia interligar todas as peças silares e garantir o seu funcionamento a escala industrial; ABSTRACT: This research presents a systematic study of architectural expression of wheat crop agro-industrial development, in particular the "Wheat Campaign", started in 1929 and continue during the "New State", until 1969. We first proceed to map the built elements related to production processes, silage and wheat industrial grinding, as well as the ways of transportation, establishing a comparative analysis with other countries and regions, in order to reveal the impact of these objects in various territories and landscapes. We seek to understand the relationships between the architectural form of the silo (whose design is mainly a result of an intrinsically programmatic response linked to its primary function - cereal storage) and the places where they are implemented and the landscapes which they sought to communicate and articulate. Secondly, we describe the current status of each copy of the "wheat architectures" in Alentejo, with the main objective of attain, at first, the understanding of each particular case and, then, to establish a connection between the different contexts in which they operate and their formal characteristics, in order to conceive and discuss their future use, equating different perspectives of action in the buildings. Finally seeks to introduce a discussion according to different orientations and positions in order to invoke prospects for action on the grain elevators that are appropriate to each specific situation, every context and every place. It is the clash between the stated approaches, which shows more than the relevance, it shows social and cultural emergence of a diligent action on the particular level of each grain elevator on the system, which was an integral part of the railway, which through its tracing allowed to interconnect all grain elevators and assure its operation on an industrial scale

Adapting wheat sowing dates to projected climate change in the Australian subtropics: analysis of crop water use and yield

Projected increases in atmospheric carbon dioxide concentration ([CO2]) and air temperature associated with future climate change are expected to affect crop development, crop yield, and, consequently, global food supplies. They are also likely to change agricultural production practices, especially those related to agricultural water management and sowing date. The magnitude of these changes and their implications to local production systems are mostly unknown. The objectives of this study were to: (i) simulate the effect of projected climate change on spring wheat (Triticum aestivum L. cv. Lang) yield and water use for the subtropical environment of the Darling Downs, Queensland, Australia; and (ii) investigate the impact of changing sowing date, as an adaptation strategy to future climate change scenarios, on wheat yield and water use. The multimodel climate projections from the IPCC Coupled Model Intercomparison Project (CMIP3) for the period 2030–2070 were used in this study. Climate scenarios included combinations of four changes in air temperature (08C, 18C, 28C, and 38C), three [CO2] levels (380 ppm, 500 ppm, and 600 ppm), and three changes in rainfall (–30%, 0%, and +20%), which were superimposed on observed station data. Crop management scenarios included a combination of six sowing dates (1 May, 10 May, 20 May, 1 June, 10 June, and 20 June) and three irrigation regimes (no irrigation (NI), deficit irrigation (DI), and full irrigation (FI)). Simulations were performed with the model DSSAT4.5, using 50 years of daily weather data.Wefound that: (1) grain yield and water-use efficiency (yield/evapotranspiration) increased linearly with [CO2]; (2) increases in [CO2] had minimal impact on evapotranspiration; (3) yield increased with increasing temperature for the irrigated scenarios (DI and FI), but decreased for the NI scenario; (4) yield increased with earlier sowing dates; and (5) changes in rainfall had a small impact on yield for DI and FI, but a high impact for the NI scenario.

Crop and environmental attributes underpinning genotype by environment interaction in synthetic-derived bread wheat evaluated in Mexico and Australia

Synthetic backcrossed-derived bread wheats (SBWs) from CIMMYT were grown in the north-west of Mexico (CIANO) and sites across Australia during 3 seasons. A different set of lines was evaluated each season, as new materials became available from the CIMMYT crop enhancement program. Previously, we have evaluated both the performance of genotypes across environments and the genotype x environment interaction (G x E). The objective of this study was to interpret the G x E for yield in terms of crop attributes measured at individual sites and to identify the potential environmental drivers of this interaction. Groups of SBWs with consistent yield performance were identified, often comprising closely related lines. However, contrasting performance was also relatively common among sister lines or between a recurrent parent and its SBWs. Early flowering was a common feature among lines with broad adaptation and/or high yield in the northern Australian wheatbelt, while yields in the southern region did not show any association with the maturity type. Lines with high yields in the southern and northern regions had cooler canopies during flowering and early grain filling. Among the SBWs with Australian genetic backgrounds, lines best adapted to CIANO were tall (>100 cm), with a slightly higher ground cover. These lines also displayed a higher concentration of water-soluble carbohydrates in the stem at flowering, which was negatively correlated with stem number per unit area when evaluated in southern Australia (Horsham). Possible reasons for these patterns are discussed. Selection for yield at CIANO did not specifically identify the lines best adapted to northern Australia, although they were not the most poorly adapted either. In addition, groups of lines with specific adaptation to the south would not have been selected by choosing the highest yielding lines at CIANO. These findings suggest that selection at CIMMYT for Australian environments may be improved by either trait based selection or yield data combined with trait information. Flowering date, canopy temperature around flowering, tiller density, and water-soluble carbohydrate concentration in the stem at flowering seem likely candidates.