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González Torralba, Jon

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González Torralba

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Jon

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Producción Agraria

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0000-0002-4689-7832

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8691

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2020 - 20223
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    PublicationOpen Access
    Multiscale assessment of ground, aerial and satellite spectral data for monitoring wheat grain nitrogen content
    (Elsevier, 2022) Segarra, Joel; Rezzouk, Fatima Zahra; Aparicio, Nieves; González Torralba, Jon; Aranjuelo Michelena, Iker; Gracia-Romero, Adrian; Araus, José Luis; Kefauver, Shawn C.; Ciencias; Zientziak; Gobierno de Navarra / Nafarroako Unibertsitate Publikoa
    Wheat grain quality characteristics have experienced increasing attention as a central factor affecting wheat end-use products quality and human health. Nonetheless, in the last decades a reduction in grain quality has been observed. Therefore, it is central to develop efficient quality-related phenotyping tools. In this sense, one of the most relevant wheat features related to grain quality traits is grain nitrogen content, which is directly linked to grain protein content and monitorable with remote sensing approaches. Moreover, the relation between nitrogen fertilization and grain nitrogen content (protein) plays a central role in the sustainability of agriculture. Both aiming to develop efficient phenotyping tools using remote sensing instruments and to advance towards a field-level efficient and sustainable monitoring of grain nitrogen status, this paper studies the efficacy of various sensors, multispectral and visible red–greenblue (RGB), at different scales, ground and unmanned aerial vehicle (UAV), and phenological stages (anthesis and grain filling) to estimate grain nitrogen content. Linear models were calculated using vegetation indices at each sensing level, sensor type and phenological stage. Furthermore, this study explores the up-scalability of the best performing model to satellite level Sentinel-2 equivalent data. We found that models built at the phenological stage of anthesis with UAV-level multispectral cameras using red-edge bands outperformed grain nitrogen content estimation (R2 = 0.42, RMSE = 0.18%) in comparison with those models built with RGB imagery at ground and aerial level, as well as with those built with widely used ground-level multispectral sensors. We also demonstrated the possibility to use UAV-built multispectral linear models at the satellite scale to determine grain nitrogen content effectively (R2 = 0.40, RMSE = 0.29%) at actual wheat fields.
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    PublicationOpen Access
    Photosynthetic metabolism under stressful growth conditions as a bases for crop breeding and yield improvement
    (MDPI, 2020) Morales Iribas, Fermín; Ancín Rípodas, María; Fakhet, Dorra; González Torralba, Jon; Gámez Guzmán, Angie Lorena; Seminario Huárriz, Amaia; Soba Hidalgo, David; Ben Mariem, Sinda; Garriga, Miguel; Aranjuelo Michelena, Iker; Agronomia, Bioteknologia eta Elikadura; Institute for Multidisciplinary Research in Applied Biology - IMAB; Agronomía, Biotecnología y Alimentación
    Increased periods of water shortage and higher temperatures, together with a reduction in nutrient availability, have been proposed as major factors that negatively impact plant development. Photosynthetic CO2 assimilation is the basis of crop production for animal and human food, and for this reason, it has been selected as a primary target for crop phenotyping/breeding studies. Within this context, knowledge of the mechanisms involved in the response and acclimation of photosynthetic CO2 assimilation to multiple changing environmental conditions (including nutrients, water availability, and rising temperature) is a matter of great concern for the understanding of plant behavior under stress conditions, and for the development of new strategies and tools for enhancing plant growth in the future. The current review aims to analyze, from a multi-perspective approach (ranging across breeding, gas exchange, genomics, etc.) the impact of changing environmental conditions on the performance of the photosynthetic apparatus and, consequently, plant growth.
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    PublicationOpen Access
    Durum wheat grain yield and quality under low and high nitrogen conditions: insights into natural variation in low- and high-yielding genotypes
    (MDPI, 2020) Mariem, S.B.; González Torralba, Jon; Collar, Concha; Aranjuelo Michelena, Iker; Morales Iribas, Fermín; Agronomía, Biotecnología y Alimentación; Agronomia, Bioteknologia eta Elikadura; Gobierno de Navarra / Nafarroako Gobernua, 0011-1365-2019-000112
    The availability and management of N are major determinants of crop productivity, but N excessive use has an associated agro-ecosystems environmental impact. The aim of this work was to investigate the influence of N fertilization on yield and grain quality of 6 durum wheat genotypes, selected from 20 genotypes as high-and low-yielding genotypes. Two N levels were applied from anthesis to maturity: high (1/2 Hoagland nutrient solution) and low (modified 1/2 Hoagland with one-third of N). Together with the agronomic characterization, grain quality analyses were assessed to characterize carbohydrates concentration, mineral composition, glutenin and gliadin concentrations, polyphenol profile, and anti-radical activity. Nitrogen supply improved wheat grain yield with no effect on thousand-grain weight. Grain soluble sugars and gluten fractions were increased, but starch concentration was reduced, under high N. Mineral composition and polyphenol concentrations were also improved by N application. High-yielding genotypes had higher grain carbohydrates concentrations, while higher concentrations in grain minerals, gluten fractions, and polyphenols were recorded in the low-yielding ones. Decreasing the amount of N to one-third ensured a better N use efficiency but reduced durum wheat agronomic and quality traits.