Resultados de búsqueda - "Kansas"

  1. Mid-Season High-Resolution Satellite Imagery for Forecasting Site-Specific Corn Yield por Peralta, Nahuel Raúl, Assefa, Yared, Du, Juan, Barden, Charles J., Ciampitti, Ignacio A.

    Publicado 2019
    “…A test was conducted on yield monitor data and RapidEye satellite imagery obtained for 22 cornfields located in five different counties (Clay, Dickinson, Rice, Saline, and Washington) of Kansas (total of 457 ha). Three basic tests were conducted on the data: (1) spatial dependence on each of the yield and vegetation indices (VIs) using Moran’s I test; (2) model selection for the relationship between imagery data and actual yield using ordinary least square regression (OLS) and spatial econometric (SPL) models; and (3) model validation for yield forecasting purposes. …”
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  2. Soybean nitrogen sources and demand during the seed-filling period por Ortez, O.A., Tamagno, S., Salvagiotti, Fernando, Prasad, P.V.V., Ciampitti, Ignacio A.

    Publicado 2019
    “…Three field experiments were conducted in 2015 and 2016 in Kansas. Three soybean genotypes: (i) non-Roundup Ready (RR), released in 1997; (ii) RR-1, released in 2009; and (iii) RR-2, released in 2014 were tested under three N rates: (i) control without N application (zero-N); (ii) 56 kg N ha–1 applied at R3 stage (late N); and (iii) 670 kg N ha–1 (full N; three applications of 223 kg N ha–1) applied at planting, R1, and R3 stages. …”
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  3. Nutrient partitioning and stoichiometry in soybean: A synthesis-analysis por Tamagno, S., Balboa, Guillermo R., Assefa, Yared, Kovács, P., Casteel, S.N., Salvagiotti, Fernando, García, Fernando O., Stewart, W.M., Ciampitti, Ignacio A.

    Publicado 2018
    “…Metadata on yield, nutrient uptake and specific-organ nutrient concentration (%nutrient) was summarized from experiments located in three different environments: Indiana, Kansas (both US), and Argentina (herein termed as IN, KS, and ARG, respectively). …”
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  4. Exploring nitrogen limitation for historical and modern soybean genotypes por Ortez, O.A., Salvagiotti, Fernando, Enrico, Juan Martin, Prasad, P.V.V., Armstrong, P., Ciampitti, Ignacio A.

    Publicado 2019
    “…Four field experiments were conducted during 2016 and 2017 growing seasons in Kansas (USA) and Santa Fe (ARG). Twenty-one historical and modern soybean genotypes released from the 1980s to 2010s were tested under three N treatments: (i) control, without N application (Zero-N); (ii) 56 kg N ha–1 applied at R3-R4 growth stages (Late-N); and (iii) 670 kg ha–1 equally split at planting, R1, and R3–R4 growth stages (Full-N). …”
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  5. A systems-level yield gap assessment of maize-soybean rotation under high- and low-management inputs in the Western US Corn Belt using APSIM por Balboa, Guillermo R., Archontoulis, Sotirios, Salvagiotti, Fernando, Garcia, Fernando O., Stewart, W.M., Francisco, Eros Artur Bohac, Vara Prasad, P.V., Ciampitti, Ignacio A.

    Publicado 2019
    “…The model was calibrated and validated using in-season crop growth data from six maize-soybean rotations obtained in 2014 and 2015 in Kansas, US. Experimental data included two management systems: 1) Common Practices (CP, low-input), wide row spacing, lower seeding rate, and lack of nutrient applications (except N in maize), and 2) Intensified Practices (IP, high-input), narrow rows, high seeding rate, and balanced nutrition. …”
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