Results 11 to 20 of about 9,180 (200)

Transdisciplinary Graduate Training in Predictive Plant Phenomics [PDF]

Agronomy, 2018
Novel methods to increase crop productivity are required to meet anticipated demands for food, feed, fiber, and fuel. It is becoming feasible to use modern sensors and data analysis techniques for predicting plant growth and productivity based on genomic,
Carolyn J. Lawrence-Dill, Theodore J. Heindel, Patrick S. Schnable, Stephanie J. Strong, Jill Wittrock, Mary E. Losch, Julie A. Dickerson   +6 more
doaj   +3 more sources

Editorial: Plant Phenotyping and Phenomics for Plant Breeding [PDF]

Frontiers in Plant Science, 2017
A major challenge for food production in the coming decades is to meet the food demands of a growing population (Beddington, 2010). The difficulty of expanding agricultural land, along with the effect of climate change and the increase in world population are the current societal changes that make necessary to accelerate research to improve yield ...
Gustavo A. Lobos, Anyela V. Camargo, Alejandro del Pozo, Jose L. Araus, Rodomiro Ortiz, John H. Doonan   +5 more
doaj   +5 more sources

Plant Phenomics, From Sensors to Knowledge [PDF]

Current Biology, 2017
Major improvements in crop yield are needed to keep pace with population growth and climate change. While plant breeding efforts have greatly benefited from advances in genomics, profiling the crop phenome (i.e., the structure and function of plants) associated with allelic variants and environments remains a major technical bottleneck. Here, we review
Tardieu, Francois, Cabrera Bosquet, Llorenç, Pridmore, Tony, Bennett, Malcolm   +3 more
  +8 more sources

Imaging Sensor-Based High-Throughput Measurement of Biomass Using Machine Learning Models in Rice

Agriculture, 2023
Phenomics technologies have advanced rapidly in the recent past for precision phenotyping of diverse crop plants. High-throughput phenotyping using imaging sensors has been proven to fetch more informative data from a large population of genotypes than ...
Allimuthu Elangovan, Nguyen Trung Duc, Dhandapani Raju, Sudhir Kumar, Biswabiplab Singh, Chandrapal Vishwakarma, Subbaiyan Gopala Krishnan, Ranjith Kumar Ellur, Monika Dalal, Padmini Swain, Sushanta Kumar Dash, Madan Pal Singh, Rabi Narayan Sahoo, Govindaraj Kamalam Dinesh, Poonam Gupta, Viswanathan Chinnusamy   +15 more
doaj   +1 more source

Smoothing and extraction of traits in the growth analysis of noninvasive phenotypic data

Plant Methods, 2020
Background Non-destructive high-throughput plant phenotyping is becoming increasingly used and various methods for growth analysis have been proposed. Traditional longitudinal or repeated measures analyses that model growth using statistical models are ...
Chris Brien, Nathaniel Jewell, Stephanie J. Watts-Williams, Trevor Garnett, Bettina Berger   +4 more
doaj   +1 more source

Phenomics based prediction of plant biomass and leaf area in wheat using machine learning approaches

Frontiers in Plant Science, 2023
IntroductionPhenomics has emerged as important tool to bridge the genotype-phenotype gap. To dissect complex traits such as highly dynamic plant growth, and quantification of its component traits over a different growth phase of plant will immensely help
Biswabiplab Singh, Sudhir Kumar, Allimuthu Elangovan, Devendra Vasht, Sunny Arya, Nguyen Trung Duc, Nguyen Trung Duc, Pooja Swami, Godawari Shivaji Pawar, Dhandapani Raju, Hari Krishna, Lekshmy Sathee, Monika Dalal, Rabi Narayan Sahoo, Viswanathan Chinnusamy   +14 more
doaj   +1 more source

Sensor-based phenotyping of above-ground plant-pathogen interactions

Plant Methods, 2022
Plant pathogens cause yield losses in crops worldwide. Breeding for improved disease resistance and management by precision agriculture are two approaches to limit such yield losses.
Florian Tanner, Sebastian Tonn, Jos de Wit, Guido Van den Ackerveken, Bettina Berger, Darren Plett   +5 more
doaj   +1 more source

Development of an Image Analysis Pipeline to Estimate Sphagnum Colony Density in the Field

Plants, 2021
Sphagnum peatmosses play an important part in water table management of many peatland ecosystems. Keeping the ecosystem saturated, they slow the breakdown of organic matter and release of greenhouse gases, facilitating peatland’s function as a carbon ...
Willem Q. M. van de Koot, Larissa J. J. van Vliet, Weilun Chen, John H. Doonan, Candida Nibau   +4 more
doaj   +1 more source

Plant photosynthesis phenomics data quality control [PDF]

Bioinformatics, 2015
AbstractMotivation: Plant phenomics, the collection of large-scale plant phenotype data, is growing exponentially. The resources have become essential component of modern plant science. Such complex datasets are critical for understanding the mechanisms governing energy intake and storage in plants, and this is essential for improving crop productivity.
Lei, Xu, Jeffrey A, Cruz, Linda J, Savage, David M, Kramer, Jin, Chen   +4 more
openaire   +2 more sources

POEAS: Automated Plant Phenomic Analysis Using Plant Ontology [PDF]

Bioinformatics and Biology Insights, 2014
Biological enrichment analysis using gene ontology (GO) provides a global overview of the functional role of genes or proteins identified from large-scale genomic or proteomic experiments. Phenomic enrichment analysis of gene lists can provide an important layer of information as well as cellular components, molecular functions, and biological ...
Khader Shameer, Mahantesha Bn Naika, Oommen K. Mathew, Ramanathan Sowdhamini   +3 more
openaire   +4 more sources