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Detecting the field maturity moment for maize (Zea mays L.) crop represents a relevant point to estimate its optimal harvest time. Knowing the optimal harvest time (defined by grain moisture content) at the end of the crop season is a major concern for maize farmers, as it could lead to substantial economic losses if not harvested on time. For this crop, optimal harvest time usually occurs 3–4 weeks after field maturity, depending on weather conditions. Therefore, this study focused on the interferometric coherence time-series analysis at the end of the maize crop season, to indirectly estimate the field maturity. For such purpose, a coherence object-based change detection method using Sentinel-1 SAR images was developed aiming to estimate the potential field maturity time. These estimations were assessed using an independent data set of field maturity dates obtained through field inspection and crop growth modelling. The technique was tested over 52 fields in the northwest region of Kansas, United States, with a detection rate of 80%, and a field maturity estimation error of 10 days (assessed with the root mean square error). The proposed method constitutes a promising approach to estimating the maize field maturity in near-real time, determining the field harvest readiness, and developing a decision support tool to assist farmers in prioritizing the allocation of fields at harvest time.

This dataset contains the result of extracting data of maize yield and hairy vetch biomass from 23 papers around the globe. This dataset is relevant to i) quantify maize yield response with hairy vetch as previous crop, ii) explore the impact on maize yield of differences in the hairy vetch biomass production, and iii) assess hairy vetch influence on fertilized and non-nitrogen fertilized maize yields. For more information related to this dataset or codes, please contact the corresponding author at: rodr.mariapia@gmail.com For cite the dataset, please use: Rodriguez, M.P., Vargas, J., Correndo, A., Carcedo, A., Carciochi, W., Sainz Rozas, H., Barbieri, P., Ciampitti, I. A meta-analysis of hairy vetch as a previous cover for maize crop. (2023)

This dataset contains the result of extracting data of maize yield and hairy vetch biomass from 23 papers around the globe. This dataset is relevant to i) quantify maize yield response with hairy vetch as previous crop, ii) explore the impact on maize yield of differences in the hairy vetch biomass production, and iii) assess hairy vetch influence on fertilized and non-nitrogen fertilized maize yields. For more information related to this dataset or codes, please contact the corresponding author at: rodr.mariapia@gmail.com For cite the dataset, please use: Rodriguez, M.P., Vargas, J., Correndo, A., Carcedo, A., Carciochi, W., Sainz Rozas, H., Barbieri, P., Ciampitti, I. A meta-analysis of hairy vetch as a previous cover for maize crop. figshare https://figshare.com/10.6084/m9.figshare.22114541 (2023)

Source code, data, and results for "zmm28 transgenic maize increases both N uptake- and N utilization-efficiencies". Published in Communications Biology.

Continuous potassium (K) removal without replenishment is progressively mining Argentinean soils. Our goals were to evaluate the sensitivity of soil-K to K budgets, quantify soil-K changes over time along the soil profile, and identify soil variables that regulate soil-K depletion. Four on-farm trials under two crop rotations including maize, wheat and soybean were evaluated. Three treatments were compared: (1) control (no fertilizer applied); (2) application of nitrogen, phosphorus, and sulfur fertilizers -NPS-; and (3) pristine condition. After nine years, crops removed from 258 to 556 kg K ha−1. Only two sites showed a decline in the exchangeable-K levels at 0–20 cm but unrelated to K budget. Topsoil exchangeable-K levels under agriculture resulted 48% lower than their pristine conditions, although still above response levels. Both soil exchangeable-K and slowly-exchangeable K vertical distribution patterns (0–100 cm) displayed substantial depletion relative to pristine conditions, mainly concentrated at subsoil (20–100 cm), with 55–83% for exchangeable-K, and 74–95% for slowly-exchangeable-K. Higher pristine levels of exchangeable-K and slowly-exchangeable-K and lower clay and silt contents resulted in higher soil-K depletion. Soil K management guidelines should consider both topsoil and subsoil nutrient status and variables related to soil K buffer capacity.

Additional file 1: Table S1 Summary of values found in the literature for the light extinction coefficient k in maize and the statistical method used in the estimation. We conducted a search in the Web of Science database, using the search terms “corn/maize/Zea mays”, and “light extinction /light attenuation/light interception/extinction coefficient/attenuation coefficient”. From the resulting 422 publications, 35 were selected because they matched the following criteria: studies had to report estimates of k in maize, have plant densities between 6 and 12 plants m−2 (i.e. the same range as our experiments), and be written in English. There were no restrictions on date of publication. The mean vas selected for studies with treatments with several measurement moments [50], as well as the intermediate row spacing arrangements (i.e. 0.5-0.8 m) [51].