Results 101 to 110 of about 4,964 (232)

Cell‐based crop phenotyping for future climates

New Phytologist, EarlyView.
Flow‐chart diagram illustrating the proposed pathway for improving the throughput of fluorescence imaging‐based phenotyping by using robotics and machine learning (ML) approaches. Summary Abiotic stress tolerance has been significantly weakened in modern crops during the domestication process.
Sergey Shabala, Ping Yun, Zhong‐Hua Chen, Meixue Zhou, Min Yu, Nadia Bazihizina   +5 more
wiley   +1 more source

Revisiting the Molecular Roadmap for Sugar Crops: Genome Reading, Trait Writing and Variety Redesigning

Plant Biotechnology Journal, EarlyView.
ABSTRACT Sugar crops, including but not limited to sugarcane, sugar beet, sweet sorghum and stevia, are major sources of sugar production in the world. However, conventional breeding approaches, limited by long breeding cycles, low efficiency and restricted capacity to improve complex traits in sugar crops, are increasingly insufficient to address the ...
Peilin Wang, Qibin Wu, Wenzhi Wang, Prakash Lakshmanan, Yangrui Li, Khushi Muhammad, Yuguang Wang, Youxiong Que   +7 more
wiley   +1 more source

Spectral Reflectance Modeling by Wavelength Selection: Studying the Scope for Blueberry Physiological Breeding under Contrasting Water Supply and Heat Conditions

Remote Sensing, 2019
To overcome the environmental changes occurring now and predicted for the future, it is essential that fruit breeders develop cultivars with better physiological performance.
Gustavo A. Lobos, Alejandro Escobar-Opazo, Félix Estrada, Sebastián Romero-Bravo, Miguel Garriga, Alejandro del Pozo, Carlos Poblete-Echeverría, Jaime Gonzalez-Talice, Luis González-Martinez, Peter Caligari   +9 more
doaj   +1 more source

A High‐Throughput Phenotyping Pipeline for Quinoa (Chenopodium quinoa) Panicles Using Image Analysis With Convolutional Neural Networks

Plant Breeding, EarlyView.
ABSTRACT Quinoa is a grain crop with excellent nutritional properties that has attracted global attention for its potential contribution to future food security in a changing climate. Despite its long history of cultivation, quinoa has been improved little by modern breeding and is a niche crop outside its native cultivation area.
Flavio Lozano‐Isla, Lydia Kienbaum, Bettina I. G. Haussmann, Karl Schmid   +3 more
wiley   +1 more source

PODD: An ontology-driven data repository for collaborative phenomics research [PDF]

, 2010
Phenomics, the systematic study of phenotypes, is an emerging field of research in biology. It complements genomics, the study of genotypes, and is becoming an increasingly critical tool to understand phenomena such as plant morphology and human diseases.
Kennedy, Gavin, Davies, Faith, Jane Hunter, Yuan-Fang Li, Li, Yuan-Fang, Hunter, Jane, Faith Davies, Gavin Kennedy   +7 more
core   +1 more source

Screening for Fall Armyworm (Spodoptera frugiperda J. E. Smith) Resistance in Early‐Maturing Tropical Maize Adapted to Sub‐Saharan Africa

Plant Breeding, EarlyView.
ABSTRACT Fall armyworm (FAW) (Spodoptera frugiperda J. E. Smith) has emerged as a serious pest since 2016 in Africa, affecting the food security and livelihoods of millions of smallholder farmers, especially those growing maize. Native genetic resistance to FAW is essential for reducing yield loss.
Adamu Masari Abubakar, Idris Ishola Adejumobi, Muhyideen Oyekunle, Tegawende Odette Bonkoungou, Usman Muhammad, Onehireba Udah, Baffour Badu‐Apraku   +6 more
wiley   +1 more source

Planteye Chickpea APPN demonstration data [PDF]

Sixty pots for chickpeas with heated treatment including optimum temperature and high temperature (30 Deg Celsius). Raw PLY data format. This dataset was generated using the Phenospex Planteye at S42 Glasshouse at Australian Plant Phenomics Network ...

core   +1 more source

Optimizing Crop Production With Plant Phenomics Through High‐Throughput Phenotyping and AI in Controlled Environments

Food and Energy Security
Plant phenomics deals with the measurement of plant phenotypes associated with genetic and environmental variation in controlled environment agriculture (CEA).
Cengiz Kaya
doaj   +1 more source

Erratum: A perspective on plant phenomics: Coupling deep learning and near-infrared spectroscopy. [PDF]

Front Plant Sci, 2022
Frontiers Production Office.
europepmc   +1 more source

TraitCapture: genomic and environment modelling of plant phenomic data

Current Opinion in Plant Biology, 2014
Agriculture requires a second green revolution to provide increased food, fodder, fiber, fuel and soil fertility for a growing population while being more resilient to extreme weather on finite land, water, and nutrient resources. Advances in phenomics, genomics and environmental control/sensing can now be used to directly select yield and resilience ...
Brown, Tim B, Cheng, Riyan, Sirault, Xavier RR, Rungrat, Tepsuda, Murray, Kevin D, Trtilek, Martin, Furbank, Robert T, Badger, Murray, Pogson, Barry J, Borevitz, Justin O   +9 more
openaire   +3 more sources