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Related papers: Phenotypic variability in Italian rice germplasm

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Plant traits such as leaf carbon content and leaf mass are essential variables in the study of biodiversity and climate change. However, conventional field sampling cannot feasibly cover trait variation at ecologically meaningful spatial…

Computer Vision and Pattern Recognition · Computer Science 2025-11-27 Eya Cherif , Arthur Ouaknine , Luke A. Brown , Phuong D. Dao , Kyle R. Kovach , Bing Lu , Daniel Mederer , Hannes Feilhauer , Teja Kattenborn , David Rolnick

Insect production for food and feed presents a promising supplement to ensure food safety and address the adverse impacts of agriculture on climate and environment in the future. However, optimisation is required for insect production to…

Growth rate is one of the most important and most complex phenotypic characteristics of unicellular microorganisms, which determines the genetic mutations that dominate at the population level, and ultimately whether the population will…

Cell Behavior · Quantitative Biology 2019-01-23 Thomas P. Wytock , Adilson E. Motter

Water is essential for agricultural productivity. Assessing water shortages and reduced yield potential is a critical factor in decision-making for ensuring agricultural productivity and food security. Crop simulation models, which align…

Machine Learning · Computer Science 2025-10-22 Miro Miranda , Marcela Charfuelan , Matias Valdenegro Toro , Andreas Dengel

Environmental stresses such as drought and heat can cause substantial yield loss in agriculture. As such, hybrid crops that are tolerant to drought and heat stress would produce more consistent yields compared to the hybrids that are not…

Machine Learning · Computer Science 2019-12-06 Saeed Khaki , Zahra Khalilzadeh , Lizhi Wang

Automated high throughput plant phenotyping involves leveraging sensors, such as RGB, thermal and hyperspectral cameras (among others), to make large scale and rapid measurements of the physical properties of plants for the purpose of…

Computer Vision and Pattern Recognition · Computer Science 2021-06-24 Chao Ren , Justin Dulay , Gregory Rolwes , Duke Pauli , Nadia Shakoor , Abby Stylianou

High resolution phenotyping at the level of individual leaves offers fine-grained insights into plant development and stress responses. However, the full potential of accurate leaf tracking over time remains largely unexplored due to the…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Shanghua Liu , Majharulislam Babor , Christoph Verduyn , Breght Vandenberghe , Bruno Betoni Parodi , Cornelia Weltzien , Marina M. -C. Höhne

In the classic view introduced by R. A. Fisher, a quantitative trait is encoded by many loci with small, additive effects. Recent advances in QTL mapping have begun to elucidate the genetic architectures underlying vast numbers of…

Populations and Evolution · Quantitative Biology 2013-10-04 Etienne Rajon , Joshua B. Plotkin

All possible phenotypes are not equally accessible to evolving populations. In fact, only phenotypes of large size, i.e. those resulting from many different genotypes, are found in populations of sequences, presumably because they are…

Populations and Evolution · Quantitative Biology 2023-08-16 Pablo Catalán , Juan Antonio García-Martín , Jacobo Aguirre , José A. Cuesta , Susanna Manrubia

Protein expression levels optimize cell fitness: Too low an expression level of essential proteins will slow growth by compromising essential processes; whereas overexpression slows growth by increasing the metabolic load. This trade-off…

Biological Physics · Physics 2024-08-23 H. James Choi , Teresa W. Lo , Kevin J. Cutler , Dean Huang , W. Ryan Will , Paul A. Wiggins

The aim of this paper is two-fold. First, we propose a new computational method to investigate the particularities of evolution. Second, we apply this method to a model of gene regulatory networks (GRNs) and explore the evolution of…

Molecular Networks · Quantitative Biology 2022-01-21 Tadamune Kaneko , Macoto Kikuchi

Ecological and evolutionary dynamics have been historically regarded as unfolding at broadly separated timescales. However, these two types of processes are nowadays well documented to much more tightly than traditionally assumed,…

Populations and Evolution · Quantitative Biology 2021-11-17 José Camacho Mateu , Matteo Sireci , Miguel A. Muñoz

Inferring concerted changes among biological traits along an evolutionary history remains an important yet challenging problem. Besides adjusting for spurious correlation induced from the shared history, the task also requires sufficient…

For a globally recognized planting breeding organization, manually-recorded field observation data is crucial for plant breeding decision making. However, certain phenotypic traits such as plant color, height, kernel counts, etc. can only…

Computer Vision and Pattern Recognition · Computer Science 2021-03-23 Saeed Khaki , Nima Safaei , Hieu Pham , Lizhi Wang

We seek models for the genotype evolution of agricultural animals, animals involved in primary production processes. Classical models for genotype evolution have tended to be very simple in order that analytic methods may be employed in…

Quantitative Methods · Quantitative Biology 2017-12-15 Vladimir Obolonkin , Anatoly Zherelo , George Krylov , Murray Jorgensen , Richard Spelman

This manuscript delves into the intersection of genomics and phenotypic prediction, focusing on the statistical innovation required to navigate the complexities introduced by noisy covariates and confounders. The primary emphasis is on the…

Methodology · Statistics 2024-11-15 Upama Paul Chowdhury , Ronit Bhattacharjee , Susmita Das , Abhik Ghosh

Quantitative plant disease resistance is believed to be more durable than qualitative resistance, since it exerts less selective pressure on the pathogens. However, the process of progressive pathogen adaptation to quantitative resistance…

Populations and Evolution · Quantitative Biology 2014-10-24 Romain Bourget , Loïc Chaumont , Charles-Eric Durel , Natalia Sapoukhina

Agricultural research has accelerated in recent years, yet farmers often lack the time and resources for on-farm research due to the demands of crop production and farm operations. Seed classification offers valuable insights into quality…

Computer Vision and Pattern Recognition · Computer Science 2025-05-29 Elhoucine Elfatimia , Recep Eryigitb , Lahcen Elfatimi

Two years study was carried out during 2006-07 and 2007-08 crop seasons to study the response of different genotypes of oilseeds Brassica to Lipaphis erysimi (Kaltenbach) infestation both under field and screen house conditions and to find…

Other Quantitative Biology · Quantitative Biology 2017-03-24 Sarwan Kumar , M. K. Sangha