Training a machine learning algorithm to accurately detect a given disease from images taken in the field requires a massive amount of human-generated training data. This data set contains images of maize (Zea maysL.) leaves taken in three ways: by a hand-held camera, with a camera mounted...
Training a machine learning algorithm to accurately detect a given disease from images taken in the field requires a massive amount of human-generated training data. This data set contains images of maize (Zea maysL.) leaves taken in three ways: by a hand-held camera, with a camera mounted...
All phenotypes were heritable after seven generations of planting in the field (Supplementary Fig. 3). Fig. 1: Knocking out ZmBON1 using CRISPR/Cas9 gene editing leads to dwarfism but no autoimmunity in maize. a Representative images of 70-day-old wild-type KN5585, Zmbon1-1, Zmbon3-1,...
and the second round of mapping was run after a new genome index was built based on the known and novel splicing sites recognized by the first round of mapping with parameters “–alignIntronMin 20 –alignIntronMax 20000 –limitBAMsortRAM 5000000000 –outSAMstrandField intronMotif –alignSJoverh...
Maize field boundaries within Overijssel were obtained from the Dutch BRP dataset provided by the Ministry of Economic Affairs and Climate Policy [http://geodata.nationaalgeoregister.nl/brpgewaspercelen/atom/brpgewaspercelen.xml]. The BRP collects the location and boundaries of all agricultural fiel...
(NH4+) were quantified by extracting field-moist 20 g soil samples using 2 M KCl and a 1:5 soil: extractant ratio; analysis was performed using an Aquakem™ analyser (Thermo Fisher Scientific, Finland). At every gas-sampling occasion, composite soil samples (0–10 cm) made of four ...
The maize tassels were cut from the maize plants in the field during the maize power dispersing period, held using a metal frame table (Fig. 1a2), and placed in the central acquisition area of the device for multi-view image acquisition. On the swivel arm of the MVS-Pheno V2 platform,...
Automated identification of northern leaf blight-infected maize plants from field imagery using deep learning Phytopathology, 107 (11) (2017), pp. 1426-1432, 10.1094/PHYTO-11-16-0417-R View in ScopusGoogle Scholar [11] T. Wiesner-Hanks, et al. Image set for deep learning: field images of...
The data were obtained from field survey supplemented with the Thai National Life Cycle Inventory Database and other scientific publications. The results included the environmental impacts of maize cultivation and continuing through biomass energy production from maize cob by comparing with heat production...
FIELD OF THE INVENTION This invention relates generally to the field of maize breeding, specifically relating to a maize variety designated PHVCN. BACKGROUND OF THE INVENTION The goal of plant breeding is to combine, in a single variety or hybrid, various desirable traits. For field crops, thes...