Results 91 to 100 of about 6,544 (210)

Performance and selection of winter durum wheat genotypes in different European conventional and organic fields [PDF]

open access: yes, 2017
Sustainability is a key factor for the future of agriculture. Productivity in agriculture has more than tripled in developed countries since the 1950s.
Lafferty, J.   +6 more
core   +1 more source

The Application of Carbon Dots in Crops for Sustainable Agriculture

open access: yesChemistryEurope, Volume 4, Issue 2, February 2026.
Carbon dots serve as versatile nanoagents across the crop life cycle. They promote plant growth and photosynthesis, enhance resilience to biotic and abiotic stresses, aid in postharvest preservation, and enable sensitive detection of contaminants.
Xue Li   +4 more
wiley   +1 more source

Genomics, phenomics, and machine learning in transforming plant research: Advancements and challenges

open access: yesHorticultural Plant Journal
Advances in gene editing and natural genetic variability present significant opportunities to generate novel alleles and select natural sources of genetic variation for horticulture crop improvement.
Sheikh Mansoor   +3 more
doaj   +1 more source

Genebank Phenomics: A Strategic Approach to Enhance Value and Utilization of Crop Germplasm

open access: yesPlants, 2020
Genetically diverse plant germplasm stored in ex-situ genebanks are excellent resources for breeding new high yielding and sustainable crop varieties to ensure future food security. Novel alleles have been discovered through routine genebank activities such as seed regeneration and characterization, with subsequent utilization providing significant ...
Giao N. Nguyen, Sally L. Norton
openaire   +4 more sources

Genetic Gains in Durum Wheat (Triticum turgidum ssp. durum) Across the Globe: Yield, Quality and Adapting for Variable Weather Patterns

open access: yesPlant Breeding, Volume 145, Issue 1, Page 142-165, February 2026.
ABSTRACT Durum wheat (Triticum turgidum ssp. durum [Desf.] Husnot) is cultivated globally and used to produce pasta, couscous, bulgur and other semolina products. With the growing world population and increasing food demand, it is pertinent to understand past trends in global food production to shape future endeavours.
Ana Laura Achilli   +4 more
wiley   +1 more source

A patch-based approach to 3D plant shoot phenotyping [PDF]

open access: yes, 2016
The emerging discipline of plant phenomics aims to measure key plant characteristics, or traits, though as yet the set of plant traits that should be measured by automated systems is not well defined. Methods capable of recovering generic representations
Andrew P. French   +5 more
core   +2 more sources

Interpretable Deep Learning applied to Plant Stress Phenotyping [PDF]

open access: yes, 2017
Availability of an explainable deep learning model that can be applied to practical real world scenarios and in turn, can consistently, rapidly and accurately identify specific and minute traits in applicable fields of biological sciences, is scarce ...
Blystone, David   +7 more
core   +3 more sources

Genetic control of plasticity of oil yield for combined abiotic stresses using a joint approach of crop modeling and genome-wide association

open access: yes, 2017
Understanding the genetic basis of phenotypic plasticity is crucial for predicting and managing climate change effects on wild plants and crops.
André, Thierry   +16 more
core   +4 more sources

Modern phenomics to empower holistic crop science, agronomy, and breeding research

open access: yesJournal of Genetics and Genomics
Crop phenomics enables the collection of diverse plant traits for a large number of samples along different time scales, representing a greater data collection throughput compared with traditional measurements. Most modern crop phenomics use different sensors to collect reflective, emitted, and fluorescence signals, etc., from plant organs at different
Ni Jiang, Xin-Guang Zhu
openaire   +2 more sources

Phenomics assisted trait dissection and genotype selection for improved nitrogen use efficiency in rice

open access: yesPlant Stress
Modern crop phenomics and current advances in machine learning (ML) models are promising tools to speed up genetic improvement of nitrogen use efficiency (NUE) in rice.
Nguyen Trung Duc   +11 more
doaj   +1 more source

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