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"APPLES"
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Apple picking time
by
Slawson, Michele Benoit
,
Ray, Deborah Kogan, 1940-
in
Apples Juvenile fiction.
,
Apples Harvesting Juvenile fiction.
,
Apples Fiction.
1998
A young girl and her family spend a fall day picking apples with others from their small town.
Oldboy's Apples
by
Blizek, William L
in
Apple
2022
This is a review of the short film, Oldboy's Apples (2022), directed by Brad Hock.
Journal Article
Field detection of multiple RNA viruses/viroids in apple using a CRISPR/Cas12a‐based visual assay
by
Jiao, Jian
,
Feng, Jiancan
,
Wang, Miaomiao
in
Acids
,
Apple chlorotic leaf spot virus
,
Apple scar skin viroid
2021
Summary Co‐infection of apple trees with several viruses/viroids is common and decreases fruit yield and quality. Accurate and rapid detection of these viral pathogens helps to reduce losses and prevent virus spread. Current molecular detection assays used for apple viruses require specialized and expensive equipment. Here, we optimized a CRISPR/Cas12a‐based nucleic acid detection platform for the diagnosis of the most prevalent RNA viruses/viroid in apple, namely Apple necrotic mosaic virus (ApNMV), Apple stem pitting virus (ASPV), Apple stem grooving virus (ASGV), Apple chlorotic leaf spot virus (ACLSV) and Apple scar skin viroid (ASSVd). We detected each RNA virus/viroid directly from crude leaf extracts after simultaneous multiplex reverse transcription‐recombinase polymerase amplification (RT‐RPA) with high specificity. Positive results can be distinguished by the naked eye via oligonucleotide‐conjugated gold nanoparticles. The CRISPR/Cas12a‐RT‐RPA platform exhibited comparable sensitivity to RT‐qPCR, with limits of detection reaching 250 viral copies per reaction for ASPV and ASGV and 2500 copies for the others. However, this protocol was faster and simpler, requiring an hour or less from leaf harvest. Field tests showed 100% agreement with RT‐PCR detection for 52 samples. This novel Cas12a‐based method is ideal for rapid and reliable detection of apple viruses in the orchard without the need to send samples to a specialized laboratory.
Journal Article
Blossom to apple
by
Ridley, Sarah, 1963- author
,
Ridley, Sarah, 1963- Where food comes from
in
Apples Juvenile literature.
,
Apples.
2019
\"Apples are a tasty food, but do you know where they come from and how they end up on supermarket shelves? Follow the story of an apple from the first pink buds on an apple tree, through the farming process to packing houses and eventually to your fruit bowl! Simple text is accompanied by large, attractive photographs\"-- Provided by publisher.
The Plant Pathology Challenge 2020 data set to classify foliar disease of apples
2020
Premise Apple orchards in the United States are under constant threat from a large number of pathogens and insects. Appropriate and timely deployment of disease management depends on early disease detection. Incorrect and delayed diagnosis can result in either excessive or inadequate use of chemicals, with increased production costs and increased environmental and health impacts. Methods and Results We have manually captured 3651 high‐quality, real‐life symptom images of multiple apple foliar diseases, with variable illumination, angles, surfaces, and noise. A subset of images, expert‐annotated to create a pilot data set for apple scab, cedar apple rust, and healthy leaves, was made available to the Kaggle community for the Plant Pathology Challenge as part of the Fine‐Grained Visual Categorization (FGVC) workshop at the 2020 Computer Vision and Pattern Recognition conference (CVPR 2020). Participants were asked to use the image data set to train a machine learning model to classify disease categories and develop an algorithm for disease severity quantification. The top three area under the ROC curve (AUC) values submitted to the private leaderboard were 0.98445, 0.98182, and 0.98089. We also trained an off‐the‐shelf convolutional neural network on this data for disease classification and achieved 97% accuracy on a held‐out test set. Discussion This data set will contribute toward development and deployment of machine learning–based automated plant disease classification algorithms to ultimately realize fast and accurate disease detection. We will continue to add images to the pilot data set for a larger, more comprehensive expert‐annotated data set for future Kaggle competitions and to explore more advanced methods for disease classification and quantification.
Journal Article
Watch an apple grow
by
Chang, Kirsten, 1991- author
,
Chang, Kirsten, 1991- Watch it grow
in
Apples Growth Juvenile literature.
,
Apples.
2019
\"In [this book], early fluent readers learn how apples grow\"-- Provided by publisher.
An atypical R2R3 MYB transcription factor increases cold hardiness by CBF-dependent and CBF-independent pathways in apple
by
Jiantao Yu
,
Yan Yan
,
Chana Bao
in
anthocyanins
,
Apple (Malus × domestica)
,
apple (Malus × domestica)
2018
Apple (Malus × domestica) trees are vulnerable to freezing temperatures. However, there has been only limited success in developing cold-hardy cultivars. This lack of progress is due at least partly to lack of understanding of the molecular mechanisms of freezing tolerance in apple.
In this study, we evaluated the potential roles for two R2R3 MYB transcription factors (TFs), MYB88 and the paralogous FLP (MYB124), in cold stress in apple and Arabidopsis. We found that MYB88 and MYB124 positively regulate freezing tolerance and cold-responsive gene expression in both apple and Arabidopsis.
Chromatin-Immunoprecipitation-qPCR and electrophoretic mobility shift assays showed that MdMYB88/MdMYB124 act as direct regulators of the COLD SHOCK DOMAIN PROTEIN 3 (MdCSP3) and CIRCADIAN CLOCK ASSOCIATED 1 (MdCCA1) genes. Dual luciferase reporter assay indicated that MdCCA1 but not MdCSP3 activated the expression of MdCBF3 under cold stress. Moreover, MdMYB88 and MdMYB124 promoted anthocyanin accumulation and H2O2 detoxification in response to cold.
Taken together, our results suggest that MdMYB88 and MdMYB124 positively regulate cold hardiness and cold-responsive gene expression under cold stress by C-REPEAT BINDING FACTOR (CBF)-dependent and CBF-independent pathways.
Journal Article
The extraordinary story of the apple
\"Favoured throughout human history, the extraordinary story of the apple began in China where native bears were key to the fruit's dispersal. Easily transported and virtually immune to pests and the cold when dried they became more widespread and eventually started to move along the trade routes, assisted by the apple-loving horses on the Silk Road. Using DNA evidence, authors Barrie E. Juniper and David J. Mabberley trace the fruit's journey through time and across continents. They cover all aspects of the natural and cultural history of the apple, from key moments in human history, including the ancient Egyptians, Romans, to the Barrle of Hastings and Newton's Law of Gravity. Chapters also cover types of apple and apple crops, grafting techniques over time, archaeological discoveries, use as a food and in cider making, as well as the latest research in apple biology\"--Back cover.
Dying for an iPhone : Apple, Foxconn, and the lives of China's workers
by
Ngai, Pun
,
Chan, Jenny
,
Selden, Mark
in
Apple Computer, Inc. -- Employees
,
Apple Computer, Inc. fast (OCoLC)fst00591864
,
Apple Inc
2020
Suicides, excessive overtime, hostility and violence on the factory floor in China. Drawing on vivid testimonies from rural migrant workers, student interns, managers and trade union staff, Dying for an iPhone is a devastating expose of two of the world's most powerful companies: Foxconn and Apple.As the leading manufacturer of iPhones, iPads and Kindles, and employing one million workers in China alone, Taiwanese-invested Foxconn's drive to dominate global electronics manufacturing has aligned perfectly with China's goal of becoming the world leader in technology. This book reveals the human cost of that ambition and what our demands for the newest and best technology mean for workers.Foxconn workers have repeatedly demonstrated their power to strike at key nodes of transnational production, challenge management and the Chinese state, and confront global tech behemoths. Dying for an iPhone allows us to assess the impact of global capitalism's deepening crisis on workers.