Results 91 to 100 of about 60,705 (268)

On‐Farm Demonstration and Economic Evaluation of an IoT Sensing System for Irrigation Management in South Carolina

Irrigation and Drainage, EarlyView.
ABSTRACT Irrigation can strongly influence agricultural productivity and sustainability. While sensor‐based irrigation has the potential to improve yield, reduce input costs and enhance resource‐use efficiency, its adoption in commercial agriculture remains limited.
J. O. Payero, U. Sekaran, D. B. Turner, S. Selvalakshmi, M. W. Marshall, N. Smith, J. Croft, A. S. Hill, R. Hitchcock‐Davis   +8 more
wiley   +1 more source

An Isoflavone Synthase Gene in Arachis hypogea Responds to Phoma arachidicola Infection Causing Web Blotch

Plants
Peanut web blotch is an important leaf disease caused by Phoma arachidicola, which seriously affects the quality and yield of peanuts. However, the molecular mechanisms of peanut resistance to peanut web blotch are not well understood.
Xinying Song, Ying Li, Xia Zhang, Tom Hsiang, Manlin Xu, Zhiqing Guo, Kang He, Jing Yu   +7 more
doaj   +1 more source

Offspring Global DNA Methylation is not Affected by Parental Developmental Stress Experience in a Passerine Species

Journal of Experimental Zoology Part A: Ecological and Integrative Physiology, EarlyView.
ABSTRACT Rapid phenotypic change may be mediated by intergenerational transmission of early developmental experiences. In birds, exposure to glucocorticoids during early development can alter global DNA methylation and gene expression. However, DNA methylation is labile, and it is currently unclear whether the impacts of stress suffered during juvenile
Anna Miltiadous, Harrison J. F. Eyck, Ondi L. Crino, Lee A. Rollins, Damien Callahan, Katherine L. Buchanan   +5 more
wiley   +1 more source

Beyond the Classics: The Synergy of AI and Genomics Reveals an Expanded Repertoire of Pigmentation Genes

Journal of Experimental Zoology Part B: Molecular and Developmental Evolution, EarlyView.
Classical approaches for coloration analysis are limited by human low‐resolution phenotyping and genetic analysis. Artificial intelligence allows us to find genes beyond the tip of the iceberg that explain color and pattern diversity in nature. ABSTRACT Pigmentation has long served as a powerful system for exploring gene–trait relationships, yet much ...
Ehsan Pashay Ahi, Nidal Karagic
wiley   +1 more source

Robust Spectroscopic Analysis Through Image‐Based Spectral Representation and Deep Learning Techniques

Journal of Raman Spectroscopy, EarlyView.
This study addresses calibration drift in Raman spectroscopy by transforming 1D spectra into 2D spider plot images processed by pretrained convolutional neural networks. This visualization strategy effectively converts detrimental spectral wavenumber shifts into simple image rotations, allowing the deep learning model to maintain high classification ...
Azadeh Mokari, Oleg Ryabchykov, Thomas Bocklitz   +2 more
wiley   +1 more source

Exploring the potent hydrolytic activity of chitosan-cerium complex microspheres resin for organophosphorus pesticide degradation

Heliyon
Chitosan is a biocompatible, non-toxic and renewable natural basic polysaccharide that can be cross-linked and reacted with Ce(IV) to form a physiologically active chitosan-Ce(IV) complex.
Lina Yu, Yu Song, Jie Bi, Yuan Gao, Chen Jiang, Zhen Yang, Hongtao Qi, Honghua Yu, Weiqiang Yang, Qingxuan Gong, Chengren Shi, Mingqing Wang   +11 more
doaj   +1 more source

Composition and functionalities of peanut protein concentrates using ethanol as a defatted solvent and a precipitating agent

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Defatted solids (DSs) from vegetable oil extraction represent valuable feedstocks for producing protein concentrates with tailored functional properties. In the present study, using peanut protein concentrates obtained from press cakes defatted with ethanol (DSEt) or hexane (DSHx), we aimed to evaluate ethanol as a green solvent for
Paloma Jamily Cristina Magalhães, Luiza Cardoso Stumm, Paola de Cássia Franco Visioli, Keila Kazue Aracava, Rafaela Torrezan Privatti, Maria Carolina Capellini, Silvana Marina Piccoli Pugine, Daniel Gonçalves, Christianne Elisabete da Costa Rodrigues   +8 more
wiley   +1 more source

Identification of novel QTLs for resistance to late leaf spot in peanut by SNP array and QTL-seq analyses

Journal of Integrative Agriculture
Late leaf spot disease (LLS) is one of the most important diseases that cause severe yield losses in peanut. Peanut has various sources of resistance to LLS, so the identification of resistant quantitative trait loci (QTLs) and the development of related
Guanghui Chen, Li Sheng, Lijun Wu, Liang Yin, Shuangling Li, Hongfeng Wang, Xiao Jiang, Heng Wang, Yanmao Shi, Fudong Zhan, Xiaoyuan Chi, Chunjuan Qu, Yan Ren, Mei Yuan   +13 more
doaj   +1 more source

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

JEADV Clinical Practice, EarlyView.
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig, Stephan Traidl, Sonja Mathes   +2 more
wiley   +1 more source

Nodal Injection of Agrobacterium tumefaciens for Gene Functional Analysis in Peanut: An Appraisal

Agronomy
Peanut is a key cash crop worldwide, yet the limited availability of functional genes and markers for breeding hinders further progress, largely due to the lack of an efficient and user-friendly transformation system.
Malizukiswe Vincent Vacu, Chunjiao Jiang, Haojie Sun, Guangdi Yuan, Jing Yu, Jun Zhang, Chuantang Wang   +6 more
doaj   +1 more source