Results 201 to 210 of about 2,338,030 (282)

Interactive effects of cooking method, genotype and environment on nutritional and antinutritional quality of quinoa (Chenopodium quinoa Willd.) seeds

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Quinoa has gained global attention as a climate‐resilient crop with high nutritional value and strong potential to enhance food security. Quinoa seeds are characterized by high‐quality protein with a balanced essential amino acid profile and are rich in dietary fiber, vitamins, essential minerals, healthy lipids and bioactive ...
Rahma Goussi, Rim Ben Youssef, Hamza Gadhoumi, Hatem Ben Jouira, Arafet Manaa   +4 more
wiley   +1 more source

Draft genome sequences for <i>Enterococcus mundtii</i> isolates from soil in Minnesota. [PDF]

Microbiol Resour Announc
Karic E, Haeberle AL, Willett JLE.
europepmc   +1 more source

Silicon differentially protects PSII and PSI photochemistry and preserves fatty acid metabolism in salt‐stressed Sorghum bicolor (L.)

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Silicon (Si) has been demonstrated to be an important element to enhance crop tolerance against salinity. Nevertheless, mechanisms underlying Si's mitigation of salt stress remains insufficiently explored and understood. This study aims to provide new insights into Si's impact on salt‐stressed Sorghum bicolor (L.) supplied or not ...
Farah Bounaouara, Rabaa Hidri, Mohammed Falouti, Salma Nait Mohamed, Mokded Rabhi, Ahmed Hichem Hamzaoui, Issam Nouairi, Nabil Ben Youssef, Cécile Cabassa, Arnould Savouré, Chedly Abdelly, Inès Slama, Walid Zorrig   +12 more
wiley   +1 more source

Species-specific glucose mineralization in artificial soil: insights from <i>Bacillus subtilis</i> and <i>Streptomyces cinnamoneus</i> mono- and co-cultures. [PDF]

Microbiol Spectr
Fujiwara K, Makino T, Hamamoto T.
europepmc   +1 more source

Characterizing vineyard‐specific differences in Pinot Noir grape composition in relation to soil properties and rhizosphere microbial communities

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Grape berry chemical composition is closely linked to wine quality and provides important information for vineyard management. However, the relationships between berry composition, vineyard soil conditions and rhizosphere microbial communities remain insufficiently understood.
Ziyu Li, Romy Moukarzel, Leandro Dias Araujo, Olaf Schelezki, Blair Walter, Bin Tian   +5 more
wiley   +1 more source

Correction to: Impacts of diverse undersown cover crops on seasonal soil microbial properties. [PDF]

FEMS Microbiol Ecol
europepmc   +1 more source

Supporting crop yields under climate change by engineering innate soil microbiomes. [PDF]

Appl Environ Microbiol
Chanson A, Gould IJ, Almås ÅR, Paz AM, Castanheira NL, Antunes JF, Barker A, Goddard MR.   +7 more
europepmc   +1 more source

Arabinoxylan‐enriched fraction from durum wheat meal modulates structure, texture, nutritional and sensory properties of extruded snacks

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Arabinoxylans (AX), abundant in wheat bran, represent a valuable yet underutilized fraction of cereal milling by‐products. In this study, an AX‐enriched fraction obtained from durum wheat meal (DWM), produced from defatted durum wheat germ and debranning fractions, was incorporated at increasing levels (0–25%) into pea starch ...
Vittoria Latrofa, Aleksei Kaleda, Carlo Porfido, Giusy Rita Caponio, Giuseppe Natrella, Davide De Angelis, Roberto Terzano, Antonella Pasqualone   +7 more
wiley   +1 more source

Effects of Perfluorotetradecanoic Acid (PFTeDA) and Biostimulants on Soil Bacterial Community Structure and Diversity and the Growth of <i>Amaranthus cruentus</i>. [PDF]

Int J Mol Sci
Baćmaga M, Wyszkowska J, Boros-Lajszner E, Kucharski J, Nowak KM.   +4 more
europepmc   +1 more source

Image‐based and biochemical multimodal phenotyping for explainable classification of chia (Salvia hispanica L.) genotypes

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND This study developed an explainable machine learning framework integrating morphological, color, and biochemical characteristics for classifying chia (Salvia hispanica L.) genotypes. A dataset was assembled from 1200 seed images spanning four genotypes, from which 17 morphological and color features were extracted.
Sevim Akcura, Irem Poyraz, Beyza Ciftci, Mahmut Kaplan   +3 more
wiley   +1 more source