A população de plantas é um dos fatores que impacta fortemente na produtividade da cultura do milho (Zea mays); justá-la localmente é uma das estratégias para gerenciar a variabilidade das lavouras e otimizar o uso de recursos do ambiente que não estão sob o controle do produtor rural, como o tipo de solo e a capacidade de retenção de água. O objetivo desse estudo foi investigar a produtividade de híbridos de milho submetidos à semeadura em taxas variáveis (STV) em unidades de gestão diferenciada (UGD). Foi utilizado o total de dez híbridos de milho testados em cinco níveis de populações de plantas a partir da população regularmente recomendada (60%, 80%, 100%, 120% e 140%). Foram conduzidos cinco experimentos em talhões comerciais entre os anos de 2012 e 2015, no Brasil, na região Centro-Oeste (Maracajú -MS), durante a segunda safra de verão (safrinha) e na região Sul (Piraí do Sul - PR), durante a safra de verão. A pesquisa foi dividida em duas etapas principais: (1) delimitação das UGD e (2) implantação dos experimentos em faixas variando híbridos e população de plantas ao longo das UGD. Foram utilizados mapas históricos de produtividade (MP), mapa de condutividade elétrica do solo (CE) e mapa de altitude como atributos que deram origem às UGD. Dois métodos distintos de agrupamentos foram analisados: o método de \"cluster\" por \"K-means\" e o método pela média normalizada. As análises das UGD foram realizadas com base na estatística descritiva. Os experimentos em faixas tiveram os dados de produtividade referentes aos híbridos, população e UGD submetidos às análises de variância pelo F-teste e ANOVA e análise de regressão em função dos níveis de população de plantas por área. Foi possível discriminar, através das UGD, diferentes níveis de produtividade, CE do solo e concentração de nutrientes (CE, pH, CTC Efetiva, Argila, Areia, V%, M.O, e K), indicando que os procedimentos utilizados nesse estudo para a definição de UGD foram eficientes. O método de formação de UGD pela média normalizada proporcionou maior homogeneidade interna das UGD comparativamente ao método de \"Cluster K-means\". A qualidade da distribuição longitudinal medida pelo espaçamento entre plantas (indicador da efetividade dos níveis de população) variou de 81% a 90% de espaçamentos aceitáveis entre os locais avaliados. A análise de variância foi significativa (P<0,05) para interação tripla entre híbridos, população de plantas e UGD assim com as regressões foram significativas e os melhores modelos tiveram ajuste quadrático para população e produtividade na área da região Centro-Oeste - MS. Nas áreas da região Sul os experimentos não foram significativos. A população de plantas ótima pode diferir em até 5743 pl ha-1 entre as diferentes UGD dentro de um mesmo talhão. Quanto menor a média de produtividade do talhão, mais restritiva é a faixa de população ótima. No entanto, não há uma recomendação simples a respeito da população de plantas ótima para cada UGD. / Plant population per unit area is one of the most important aspects under the farmer\'s control that can influence maize grain yield. As the availability of resources for the growth of plants (like water availability and soil attributes) are not uniform along the fields, and considering the unfeasibility to change the environment setting, plant population per area is a key aspect under the farmer\'s control to optimize the use of these resources. This study aims to carry a comprehensive study of the strategy of variable rate seeding (VRS) within zones of distinct resource availability (management zones - MZ). A seasonal experimental design was set consisting in selecting ten different hybrids and five ranks of plant populations starting with a local recommended seeding rate and offsetting it in 40% and 20% below and above this reference. Five field experiments were conducted in commercial fields from 2012 to 2015 in two regions with distinct growing seasons in Brazil. In the Midwest region (Maracaju - MS) where corn is grown as a secondary crop following soybean within one season, and in the Southern region (Piraí do Sul - PR) where corn is grown as primary crop during the summer season; both under rain fed and no-tillage system. This research was split into two main stages: (1) definition of management zones (MZ) within agricultural fields and (2) implementation of strip tests varying hybrids and plant populations across MZ. The attributes used to delineate MZ were soil electrical conductivity (EC), yield maps (YM) and elevation. Two methods were analyzed to delineate MZ: cluster K-means and standardized average. MZ were analyzed by descriptive statistics. On the experimental data gathered from each seasonexperiment, yield of the hybrids, plant density and MZ were submitted to analysis of variance by F-test, ANOVA and regression analysis. MZ were able to differentiate levels of yield, and soil properties (EC, pH, Effective CTC, clay, sand, V%, MO, and K), suggesting that the procedures to define MZ used in this study were efficient. The standardized average provides greater internal homogeneity of MZ compared with the Cluster K-means. The quality of regular spacing between plants (indicator of seed rate quality) was 90% to 81% at all locations. The analyses of variance were significant (P < 0.05) for triple interaction between hybrids, plant population, and for the MZ at the Midwest region. For fields studied in the South the tests were not significant. The optimal plant population at the Midwest region can vary by up to 5743 pl ha-1 across MZ within the same field. Lower yield averages have a narrow optimal plant population interval. However, there is no simple recommendation regarding the optimal plant population across MZ.

This study develops a basis for a land information system for the 40 ha subtropical highland catchment of Wang Jia, Yunnan Province, China. Information, including meteorology, geology, geomorphology, biology, pedology and crop productivity, was integrated using a geomorphopedological approach and expressed as maps using GIS. The developed protocol is proposed as a generic system, applicable to agricultural land evaluation in subtropical highland catchments. The results demonstrate that Wang Jia Catchment is relatively representative of the region, in terms of geomorphological features and land cover. Catchment soils, developed from residual, colluvial and alluvial materials of sandstone, shale and dolomite on different landscapes, were still young and strongly influenced by their geological parent material. Soils were normally slightly acidic to neutral. Soil fertility varied from poor to very fertile. Maize yield was significantly correlated with soil pH, total N, available N, P and K and thus the Soil Fertility Index. In 2002, maize yield was significantly correlated with manure and urea applications. There was considerable potential to increase maize yield with modified and innovative cropping practices in the catchment. Adopted primarily as a soil conservation practice, contour cultivation did not increase maize yield compared to downslope cultivation. Polythene mulch tended to increase maize yield in most years. These results largely accord with the results from controlled research plots in the same catchment. Analysis of intra-plot variations showed that soil samples from planting pits had higher total soil organic matter, total N, available N, available P and available K than inter-row samples, but with higher standard deviations. Most soil fertility parameters for inter-row samples were more similar to traditional random composite samples. These results suggest if composite samples were taken only from inter-rows, the results would have been similar, but the risk of sampling error would have been reduced. The land information system established in this study is suitable for designing, evaluating and monitoring sustainable agricultural practices central to soil conservation and crop yield improvement and thus contributing to decision-making for sustainable agricultural land management in this region.

A população de plantas é um dos fatores que impacta fortemente na produtividade da cultura do milho (Zea mays); justá-la localmente é uma das estratégias para gerenciar a variabilidade das lavouras e otimizar o uso de recursos do ambiente que não estão sob o controle do produtor rural, como o tipo de solo e a capacidade de retenção de água. O objetivo desse estudo foi investigar a produtividade de híbridos de milho submetidos à semeadura em taxas variáveis (STV) em unidades de gestão diferenciada (UGD). Foi utilizado o total de dez híbridos de milho testados em cinco níveis de populações de plantas a partir da população regularmente recomendada (60%, 80%, 100%, 120% e 140%). Foram conduzidos cinco experimentos em talhões comerciais entre os anos de 2012 e 2015, no Brasil, na região Centro-Oeste (Maracajú -MS), durante a segunda safra de verão (safrinha) e na região Sul (Piraí do Sul - PR), durante a safra de verão. A pesquisa foi dividida em duas etapas principais: (1) delimitação das UGD e (2) implantação dos experimentos em faixas variando híbridos e população de plantas ao longo das UGD. Foram utilizados mapas históricos de produtividade (MP), mapa de condutividade elétrica do solo (CE) e mapa de altitude como atributos que deram origem às UGD. Dois métodos distintos de agrupamentos foram analisados: o método de \"cluster\" por \"K-means\" e o método pela média normalizada. As análises das UGD foram realizadas com base na estatística descritiva. Os experimentos em faixas tiveram os dados de produtividade referentes aos híbridos, população e UGD submetidos às análises de variância pelo F-teste e ANOVA e análise de regressão em função dos níveis de população de plantas por área. Foi possível discriminar, através das UGD, diferentes níveis de produtividade, CE do solo e concentração de nutrientes (CE, pH, CTC Efetiva, Argila, Areia, V%, M.O, e K), indicando que os procedimentos utilizados nesse estudo para a definição de UGD foram eficientes. O método de formação de UGD pela média normalizada proporcionou maior homogeneidade interna das UGD comparativamente ao método de \"Cluster K-means\". A qualidade da distribuição longitudinal medida pelo espaçamento entre plantas (indicador da efetividade dos níveis de população) variou de 81% a 90% de espaçamentos aceitáveis entre os locais avaliados. A análise de variância foi significativa (P<0,05) para interação tripla entre híbridos, população de plantas e UGD assim com as regressões foram significativas e os melhores modelos tiveram ajuste quadrático para população e produtividade na área da região Centro-Oeste - MS. Nas áreas da região Sul os experimentos não foram significativos. A população de plantas ótima pode diferir em até 5743 pl ha-1 entre as diferentes UGD dentro de um mesmo talhão. Quanto menor a média de produtividade do talhão, mais restritiva é a faixa de população ótima. No entanto, não há uma recomendação simples a respeito da população de plantas ótima para cada UGD. / Plant population per unit area is one of the most important aspects under the farmer\'s control that can influence maize grain yield. As the availability of resources for the growth of plants (like water availability and soil attributes) are not uniform along the fields, and considering the unfeasibility to change the environment setting, plant population per area is a key aspect under the farmer\'s control to optimize the use of these resources. This study aims to carry a comprehensive study of the strategy of variable rate seeding (VRS) within zones of distinct resource availability (management zones - MZ). A seasonal experimental design was set consisting in selecting ten different hybrids and five ranks of plant populations starting with a local recommended seeding rate and offsetting it in 40% and 20% below and above this reference. Five field experiments were conducted in commercial fields from 2012 to 2015 in two regions with distinct growing seasons in Brazil. In the Midwest region (Maracaju - MS) where corn is grown as a secondary crop following soybean within one season, and in the Southern region (Piraí do Sul - PR) where corn is grown as primary crop during the summer season; both under rain fed and no-tillage system. This research was split into two main stages: (1) definition of management zones (MZ) within agricultural fields and (2) implementation of strip tests varying hybrids and plant populations across MZ. The attributes used to delineate MZ were soil electrical conductivity (EC), yield maps (YM) and elevation. Two methods were analyzed to delineate MZ: cluster K-means and standardized average. MZ were analyzed by descriptive statistics. On the experimental data gathered from each seasonexperiment, yield of the hybrids, plant density and MZ were submitted to analysis of variance by F-test, ANOVA and regression analysis. MZ were able to differentiate levels of yield, and soil properties (EC, pH, Effective CTC, clay, sand, V%, MO, and K), suggesting that the procedures to define MZ used in this study were efficient. The standardized average provides greater internal homogeneity of MZ compared with the Cluster K-means. The quality of regular spacing between plants (indicator of seed rate quality) was 90% to 81% at all locations. The analyses of variance were significant (P < 0.05) for triple interaction between hybrids, plant population, and for the MZ at the Midwest region. For fields studied in the South the tests were not significant. The optimal plant population at the Midwest region can vary by up to 5743 pl ha-1 across MZ within the same field. Lower yield averages have a narrow optimal plant population interval. However, there is no simple recommendation regarding the optimal plant population across MZ.

Management-induced degradation of soil chemical and microbial quality is one of the most pressing concerns and a considerable threat to the sustainability of agroecosystems. However, information on this important issue is limited and largely based on short-term studies. A long-term experiment initiated in 1939 at the University of Pretoria provided a unique opportunity to assess the direct and residual effects of manure and inorganic fertilizers on soil chemical properties, microbial components and maize yield in rotation with field pea. Long-term addition of manure resulted in increased total organic C (TOC), total N and available P levels in the soil. Seasonally, these nutrients exhibited variations that appeared to be related to influences of crop rotation. Soil N content in an adjacent native site remained relatively constant but tended to increase in the control and manured plots. Soil microbial biomass C, N and P and microbial populations were affected by previous manure application as well as by crop rotation. Microbial biomass and numbers were generally higher in the manured plots. Manure application also had substantial residual effects and resulted in maize grain yields higher than in the control. Long-term NPK application resulted in decreased TOC and basic cation contents, and lowering of soil pH. The decrease in TOC was greater in single fertilizer treatments whereas basic cation contents and pH declined more in the balanced fertilizer treatments. Soil microbial biomass and numbers were influenced by, and exhibited qualitative changes in response to, long-term fertilization. Crop rotation also exerted effects on chemical and microbial properties of the soil. Maize grain yield showed significant increases in response to balanced fertilizer treatments. Response of maize to simple fertilizer applications was not beneficial in terms of yield returns. These results suggest that judicious use of inorganic fertilizers may, in the long-term, maintain soil quality and productive capacity. A comparison of the effects of residual manure and NPK fertilizers on the content of selected nutrients, microbial properties, C and N inputs, tissue nutrient concentration and crop yield showed differences due to treatments. TOC, total N and available P levels were increased due to residual manure alone or in combination with NPK fertilizers. C and N inputs and tissue P concentration were also generally higher in manured than in the NPK treatment. However, the higher increase in nutrient contents of manured plots was not reflected in microbial properties of the soil. Despite lower nutrient levels, the NPK treatment resulted in relatively greater increases in microbial properties of the soil. The differential responses were largely due to differences in quality and decomposability of organic material. Organic material in the NPK treatment appeared to have a higher decomposition and turnover rate than in other treatments, suggesting that C limitation in soils of low C but good nutrient supply may be compensated by high turnover rates of the available organic materials. The beneficial effect of residual manure on microbial properties and crop yield was decreased by application of supplemental N fertilizer but remained unaffected by application of supplemental K fertilizer. The depressive effect of excess soil P levels on soil microbial properties and crop yield was exacerbated by supplemental N fertilizer and mitigated by supplemental manure and K fertilizer applied to residual P. The decrease in available P levels due to supplemental K application implies that this may serve as a viable alternative to ameliorate soils with excess P levels. / Thesis (PhD (Plant Production and Soil Science))--University of Pretoria, 2003. / Plant Production and Soil Science / unrestricted

Management-induced degradation of soil chemical and microbial quality is one of the most pressing concerns and a considerable threat to the sustainability of agroecosystems. However, information on this important issue is limited and largely based on short-term studies. A long-term experiment initiated in 1939 at the University of Pretoria provided a unique opportunity to assess the direct and residual effects of manure and inorganic fertilizers on soil chemical properties, microbial components and maize yield in rotation with field pea. Long-term addition of manure resulted in increased total organic C (TO C), total Nand available P levels in the soil. Seasonally, these nutrients exhibited variations that appeared to be related to influences of crop rotation. Soil N content in an adjacent native site remained relatively constant but tended to increase in the control and manured plots. Soil microbial biomass C, Nand P and microbial populations were affected by previous manure application as well as by crop rotation. Microbial biomass and numbers were generally higher in the manured plots. Manure application also had substantial residual effects and resulted in maize grain yields higher than in the control. Long-term NPK application resulted in decreased TOC and basic cation contents, and lowering of soil pH. The decrease in TOC was greater in single fertilizer treatments whereas basic cation contents and pH declined more in the balanced fertilizer treatments. Soil microbial biomass and numbers were influenced by, and exhibited qualitative changes in response to, long-term fertilization. Crop rotation also exerted effects on chemical and microbial properties of the soil. Maize grain yield showed significant increases in response to balanced fertilizer treatments. Response of maize to simple fertilizer applications was not beneficial in terms of yield returns. These results suggest that judicious use of inorganic fertilizers may, in the long-term, maintain soil quality and productive capacity. A comparison of the effects of residual manure and NPK fertilizers on the content of selected nutrients, microbial properties, C and N inputs, tissue nutrient concentration and crop yield showed differences due to treatments. TOC, total N and available P levels were increased due to residual manure alone or in combination with NPK fertilizers. C and N inputs and tissue P concentration were also generally higher in manured than in the NPK treatment. However, the higher increase in nutrient contents of manured plots was not reflected in microbial properties of the soil. Despite lower nutrient levels, the NPK treatment resulted in relatively greater increases in microbial properties of the soil. The differential responses were largely due to differences in quality and decomposability of organic material. Organic material in the NPK treatment appeared to have a higher decomposition and turnover rate than in other treatments, suggesting that C limitation in soils of low C but good nutrient supply may be compensated by high turnover rates of the available organic materials. The beneficial effect of residual manure on microbial properties and crop yield was decreased by application of supplemental N fertilizer but remained unaffected by application of supplemental K fertilizer. The depressive effect of excess soil P levels on soil microbial properties and crop yield was exacerbated by supplemental N fertilizer and mitigated by supplemental manure and K fertilizer applied to residual P. The decrease in available P levels due to supplemental K application implies that this may serve as a viable alternative to ameliorate soils with excess P levels. / Thesis (PhD)--University of Pretoria, 2010. / Plant Production and Soil Science / unrestricted

付記する学位プログラム名: グローバル生存学大学院連携プログラム / 京都大学 / 0048 / 新制・課程博士 / 博士(農学) / 甲第21465号 / 農博第2308号 / 新制||農||1064(附属図書館) / 学位論文||H31||N5160(農学部図書室) / 京都大学大学院農学研究科地域環境科学専攻 / (主査)教授 舟川 晋也, 教授 間藤 徹, 教授 縄田 栄治 / 学位規則第4条第1項該当 / Doctor of Agricultural Science / Kyoto University / DFAM

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<div>The demand for customized farm management prescription is increasing in order to maximize crop yield and minimize environmental risks under a changing climate. One great challenge to modeling crop growth and production is spatial and temporal variability. The goal of this dissertation research is to use publicly available Landsat imagery, ground samples and historical yield data to establish methodologies to spatially quantify cover crop growth and in-season maize yield. First, an investigation was conducted into the feasibility of using satellite remote sensing and spatial interpolation with minimal ground samples to rapidly estimate season-specific cover crop biomass and N uptake in the small watershed of Lake Bloomington in Illinois. Results from this study demonstrated that remote sensing indices could capture the spatial pattern of cover crop growth as affected by various cover crop and cash crop management systems. Soil adjusted vegetation index (SAVI), enhanced vegetation index (EVI) and triangular vegetation index (TVI) were strongly correlated with cover crop biomass and N uptake for low and moderate biomass and N uptake ranges (0-3000 kg ha-1 and 0-100 kg N ha-1). The SAVI estimated cover crop biomass and N uptake were +/- 15% of observed value. Compared to commonly used spatial interpolation methods such as ordinary kriging (OK) and inverse distance weighting (IDW), using the SAVI method showed higher prediction R2 values than that of OK and IDW. An additional advantage for these remote sensing vegetation indices, especially in the context of diverse agronomic management practices, is their much lower labor requirements compared to the high density ground samples needed for a spatial interpolation analysis. </div><div>In the second study, a new approach using the multivariate spatial autoregressive (MSAR) model was developed at 10-m grid resolution to forecast maize yield using historical grain yield data collected at farmers’ fields in Central Indiana, publicly available Landsat imagery, top 30 cm soil organic matter and elevation, while accounting for yield spatial autocorrelation. Relative mean error (RME) and relative mean absolute error (RMAE) were used to quantify the model prediction accuracy at the field level and 10-m grid level, respectively. The MSAR model performed reasonably well (absolute RME < 15%) for field overall yield predictions in 32 out of 35 site-years on the calibration dataset with an average absolute RME of 6.6%. The average RMAE of the MSAR model predictions was 13.1%. It was found that the MSAR model could result in large estimation error under an extreme stressed environment such as the 2012 drought, especially when grain yield under these stressed conditions was not included in the model calibration step. In the validation dataset (n=82), the MSAR model showed good prediction accuracy overall (± 15% of actual yield in 56 site-years) in new fields when extreme stress was not present. The novel approach developed in this study demonstrated its ability to use elevation and soil information to interpret satellite observations accurately in a fine spatial scale. </div><div>Then we incorporated the MSAR approach into a process-based N transformation model to predict field-scale maize yield in Indiana. Our results showed that the linear agreement of predicted yield (using the N Model in the Mapwindow GIS + MMP Tools) to actual yield improved as the spatial aggregation scale became broader. The proposed MSAR model used early vegetative precipitation, top 30 cm soil organic matter and elevation to adjust the N Model yield prediction in 10-m grids. The MSAR adjusted yield predictions resulted in more cases (77%) that fell within 15% of actual yield compared to the N Model alone using the calibration dataset (n=35). However, if the 2012 data was not included in the MSAR parameter training step, the MSAR adjusted yield predictions for 2012 were not improved from the N Model prediction (average RME of 24.1%). When extrapolating the MSAR parameters developed from 7 fields to a dataset containing 82 site-years on 30 different fields in the same region, the improvement from the MSAR adjustment was not significant. The lack of improvement from the MSAR adjustment could be because the relationship used in the MSAR model was location specific. Additionally, the uncertainty of precipitation data could also affect the relationship. </div><div>Through the sequence of these studies, the potential utility of big data routinely collected at farmers’ fields and publicly available satellite imagery has been greatly improved for field-specific management tools and on-farm decision-making. </div>

Made available in DSpace on 2016-12-08T16:44:53Z (GMT). No. of bitstreams: 1 PGPV07MA014.pdf: 449670 bytes, checksum: 27f987f7db78d00331b32761b47a1875 (MD5) Previous issue date: 2007-02-16 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The increment in plant density is an alternative to maximize solar radiation interception and to increase maize grain yield. However, it can also reduce the crop photosynthetic activity and limit its efficiency to convert carbohydrates to grain production. Increases in maize hybrid s tolerance to crowding have been reported in different production areas around the world. Two traits that may contribute to this feature are the slower leaf senescence during grain filling and the higher uniformity in plant growth and development during the crop cycle. This work was carried out aiming to quantify the effects of plant population increment on the leaf area, grain yield and the variation coefficient of agronomic traits of maize cultivars with contrasting genetic variability. The trial was set in Lages, SC, Brazil. A randomized block experimental design disposed in split-plots was used. Three cultivars were evaluated in the main plot: an open-pollinated variety (Fortuna), a double-cross hybrid (Ag 303) and a single-cross hybrid (P30F53). Five plant populations were tested in the split-plot: 25,000, 50,000, 75,000, 100,000, and 125,000 plants ha-1. The experiment was sowed on 10-26-2005, with a row spacing of 0.70 m. When the crop had four expanded leaves, 10 plants of each split-plot that were in the same growth stage were labeled. These plants were used to measure leaf area and to follow the crop growth, determining the variation coefficient of leaf area, growth stage and plant height. These variables were estimated 10 times, at the growth stages of V4, V8, V12, V16, R1 (silking) and 14, 28, 42, 56 and 70 days after silking. After harvesting, the variation coefficient and grain production per plant were determined based on the 10 selected plants. In addition to that, grain production and yield components were determined. The data were submitted to the variance analysis by the F test, at the 5.0% significance level (P<0.05). The means were compared by the Tukey s test (P<0.05), by polynomial regression and linear correlation. The response of grain yield to increment in plant population was quadratic, regardless of cultivar. Grain yield of the singlecross hybrid (SCH) was higher and more responsive to increase in plant density than grain yield of the double-cross hybrid (DCH) and the open-pollinated variety (OPV). The plant densities that optimized grain yield were 86,665 plants ha-1, 53,044 plants ha-1 and 85,000 plants ha-1 for the SCH, DCH and OPV, respectively. The SCH presented higher leaf area values than the other cultivars 56 days after silking, when plant populations greater than 50,000 plants ha-1 were used. The highest variation coefficient value for grain production per plant was registered at 125,000 plants ha-1 and the lowest at 25,000 plants ha-1. The SCH presented smaller variation coefficient than the DCH and OPV for plant height and leaf area at silking, and for grain yield per plant. The higher morphologic uniformity of the SCH probably contributed to reduce intra-specific competition for water, light and nutrients, establishing a stronger sink after flowering. The SCH greater demand for photosynthetic products possibly favored the maintenance of leaf activity for a higer period, delaying senescence. Therefore, the slower leaf senescence and the more uniform plant growth contributed to the SCH higher grain yield and to the higher productivity differences between the SCH and the other two cultivars in the highest plant densities (75,000, 100,000 e 125,000 plants ha-1) / O incremento na densidade de plantas é uma forma de maximizar a interceptação da radiação solar e o rendimento de grãos do milho. Contudo, ele também pode reduzir a atividade fotossintética da planta e a eficiência de conversão dos fotoassimilados à produção de grãos. Aumentos na tolerância de híbridos de milho ao adensamento têm sido reportados em diferentes regiões produtoras no mundo. Duas características que podem contribuir para isto são a senescência foliar mais lenta no enchimento de grãos e a maior uniformidade no crescimento e desenvolvimento das plantas durante o ciclo da cultura. Este trabalho foi conduzido com os objetivos de quantificar o efeito do incremento da população de plantas sobre a área foliar, o rendimento de grãos e o coeficiente de variação de características agronômicas de cultivares de milho com bases genéticas contrastantes. O experimento foi conduzido no município de Lages-SC. O delineamento experimental utilizado foi o de blocos casualizados dispostos em parcelas subdivididas. Na parcela principal foram testadas três cultivares de milho: uma variedade de polinização aberta (Fortuna), um híbrido duplo (Ag303) e um híbrido simples (P30F53). Cinco populações de plantas foram avaliadas nas subparcelas: 25.000, 50.000, 75.000, 100.000 e 125.000 plantas ha-1. O experimento foi implantado no dia 26 de outubro de 2005, com espaçamento entre linhas de 0,70 m. Quando a cultura estava com quatro folhas expandidas, marcou-se 10 plantas de cada subparcela que estivessem no mesmo estádio fenológico. Estas plantas foram utilizadas para as avaliações de área foliar, bem como para o acompanhamento do crescimento, determinando-se o coeficiente de variação para área foliar, estádio fenológico e estatura de planta. Estas variáveis foram avaliadas 10 vezes, nos estádios V4, V8, V12, V16, R1 (espigamento) e aos 14, 28, 42, 56 e 70 dias após o espigamento. Após a colheita, foram determinados o coeficiente de variação e a produção de grãos por planta, nas 10 plantas selecionadas. Além disso, determinou-se a produção de grãos na área útil, bem como os componentes do rendimento. Os dados foram submetidos à análise de variância pelo teste F, ao nível de significância de 5% (P<0,05). As médias foram analisadas pelo teste de Tukey, a 5% de probabilidade de erro (P<0,05), por regressão polinomial e por correlação linear. A reposta do rendimento de grãos das três cultivares ao incremento na densidade de plantas foi quadrática. O rendimento de grãos do híbrido simples (HS) foi maior e mais responsivo ao incremento na população de plantas do que o híbrido duplo (HD) e da variedade de polinização aberta (VPA). As populações que otimizaram o rendimento de grãos foram de 86.665 plantas ha-1, 53.044 plantas ha-1 e 85.000 plantas ha-1 para o HS, HD e VPA, respectivamente. O HS apresentou maior valor de área foliar do que as demais cultivares aos 56 dias após o espigamento, nas densidades superiores a 50.000 plantas ha-1. Os maiores coeficientes de variação para produção de grãos por planta foram obtidos na densidade de 125.000 plantas ha-1 e os menores na de 25.000 plantas ha-1. O HS apresentou menor coeficiente de variação do que o HD e a VPA para estatura de planta e área foliar no espigamento, bem como para produção de grãos por planta. As maiores uniformidades morfológica e fenológica do HS provavelmente contribuiu para reduzir a competição intra-específica por água, luz e nutrientes, favorecendo o estabelecimento de um dreno mais forte logo após a floração. A maior demanda por fotoassimilados do HS possivelmente favoreceu a manutenção da atividade fotossintética das folhas por um período mais longo, retardando a senescência foliar. Portanto, a senescência foliar mais lenta e o desenvolvimento uniforme das plantas contribuíram para o maior rendimento de grãos do HS e para as maiores diferenças de produtividade registradas entre o HS e o HD e a VPA nas densidades mais altas (75.000, 100.000 e 125.000 plantas ha-1)

MSCAGR (Soil Science) / Department of Soil Science / Poultry manure (PM) is an inexpensive source of fertilizer but it decomposes quickly and releases carbon and greenhouse gases. Biochar (BC) could be an alternative source of carbon to improve soil quality and reduce greenhouse gas emission. This study investigated the effect of co-application of BC and PM on selected soil physical and chemical properties and performance of maize. A field experiment was conducted at the University of Venda experimental farm during 2015/2016 and 2016/2017 seasons. The experiment was a 4 x 3 factorial arrangement consisting of four rates of BC (0, 5, 10 and 20 t ha-1) and three rates of PM (0, 2, and 4 t ha-1) in a RCBD arrangement replicated three times. Maize was planted in both seasons. After harvest, soil bulk density was determined at four soil depths (0-5, 5-10, 10-15, and 15-20 cm), while aggregate stability and selected soil chemical properties were determined at two soil depths (0-15 cm and 15-30 cm). Data were subjected to ANOVA using Genstat 17th edition. The least significant difference was used to compare the treatment means at P < 0.05. Soil aggregate stability, organic carbon, Ca2+, Mg2+, K+, maize dry matter and maize grain yield increased with increasing rates of BC and PM application at 0 - 15 cm depth in both seasons. The combination of BC at 20 t ha-1 and PM at 4 t ha-1 significantly (P < 0.05) decreased soil bulk density at 5 - 10 cm depth but increased soil available P and total N at the two depths in both seasons. The results of this study suggested that BC and PM improved soil ability to retain and supply nutrients through improved soil aggregate stability and reduced bulk density thereby improving maize dry matter and grain yield. Combining BC with PM proved to enhance the ability of soil to function by improving selected soil physical and chemical properties thereby improving maize dry matter and grain yield. / NRF