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Related papers: Phenotypic variability in Italian rice germplasm

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The widely used genetic pleiotropic analysis of multiple phenotypes are often designed for examining the relationship between common variants and a few phenotypes. They are not suited for both high dimensional phenotypes and high…

Machine Learning · Statistics 2015-12-04 Panpan Wang , Mohammad Rahman , Li Jin , Momiao Xiong

We introduce a simple yet effective early fusion method for crop yield prediction that handles multiple input modalities with different temporal and spatial resolutions. We use high-resolution crop yield maps as ground truth data to train…

High-throughput pheno-, geno-, and envirotyping allows characterization of plant genotypes and the trials they are evaluated in, producing different types of data. These different data modalities can be integrated into statistical or…

For a global breeding organization, identifying the next generation of superior crops is vital for its success. Recognizing new genetic varieties requires years of in-field testing to gather data about the crop's yield, pest resistance,…

Computer Vision and Pattern Recognition · Computer Science 2021-08-03 Saba Moeinizade , Hieu Pham , Ye Han , Austin Dobbels , Guiping Hu

Ecological selection is a major driver of community assembly. Selection is classified as stabilizing when species with intermediate trait values gain the highest reproductive success, whereas selection is considered directional when fitness…

Populations and Evolution · Quantitative Biology 2021-05-13 DeMalach Niv , Po-Ju Ke , Tadashi Fukami

The advent of plant phenomics, coupled with the wealth of genotypic data generated by next-generation sequencing technologies, provides exciting new resources for investigations into and improvement of complex traits. However, these new…

Genomics · Quantitative Biology 2019-04-30 Gota Morota , Diego Jarquin , Malachy T. Campbell , Hiroyoshi Iwata

Organismal phenotypes emerge from a complex set of genotypic interactions. While technological advances in sequencing provide a quantitative description of an organism's genotype, characterization of an organism's physical phenotype lags…

Biological Physics · Physics 2020-10-15 Vasyl Alba , James E. Carthew , Richard W. Carthew , Madhav Mani

Rice has been one of the staple foods that contribute significantly to human food supplies. Numerous rice varieties have been cultivated, imported, and exported worldwide. Different rice varieties could be mixed during rice production and…

Computer Vision and Pattern Recognition · Computer Science 2019-06-26 Itthi Chatnuntawech , Kittipong Tantisantisom , Paisan Khanchaitit , Thitikorn Boonkoom , Berkin Bilgic , Ekapol Chuangsuwanich

Cold plasma (CP) is an eco-friendly method to enhance seed germination, yet outcomes remain difficult to predict due to complex seed--plasma--environment interactions. This study introduces the first machine learning framework to forecast…

Machine Learning · Computer Science 2025-10-29 Saklain Niam , Tashfiqur Rahman , Md. Amjad Patwary , Mukarram Hossain

Identifying genetic interactions for a given microorganism such as yeast is difficult. Quantitative Fitness Analysis (QFA) is a high-throughput experimental and computational methodology for quantifying the fitness of microbial cultures.…

Applications · Statistics 2014-05-29 Jonathan Heydari

Durum wheat has been cultivated since the beginning of crop domestication, occupying now the tenth ranking among the global most significant cultivated crops. Despite the fact that, the extent of the crop genetic diversity has not yet fully…

The emerging field of high-throughput compartmentalized in vitro evolution is a promising new approach to protein engineering. In these experiments, libraries of mutant genotypes are randomly distributed and expressed in microscopic…

Populations and Evolution · Quantitative Biology 2019-11-06 Anton S. Zadorin , Yannick Rondelez

Cultural traits such as words, names, decorative styles, and technical standards often assume arbitrary values and are thought to evolve neutrally. But neutral evolution cannot explain why some traits come and go in cycles of popularity…

Populations and Evolution · Quantitative Biology 2021-04-01 Mitchell G. Newberry , Joshua B. Plotkin

Accurate and timely crop yield prediction is crucial for global food security and modern agricultural management. Traditional methods often lack the scalability and granularity required for precision farming. This paper introduces FARM:…

Computer Vision and Pattern Recognition · Computer Science 2026-01-06 Shayan Nejadshamsi , Yuanyuan Zhang , Shadi Zaki , Brock Porth , Lysa Porth , Vahab Khoshdel

Plant phenotyping is a central task in agriculture, as it describes plants' growth stage, development, and other relevant quantities. Robots can help automate this process by accurately estimating plant traits such as the number of leaves,…

Computer Vision and Pattern Recognition · Computer Science 2023-06-16 Gianmarco Roggiolani , Matteo Sodano , Tiziano Guadagnino , Federico Magistri , Jens Behley , Cyrill Stachniss

Graph-based machine learning methods are useful tools in the identification and prediction of variation in genetic data. In particular, the comprehension of phenotypic effects at the cellular level is an accelerating research area in…

Quantitative Methods · Quantitative Biology 2024-12-06 Nandini Gadhia , Michalis Smyrnakis , Po-Yu Liu , Damer Blake , Melanie Hay , Anh Nguyen , Dominic Richards , Dong Xia , Ritesh Krishna

In viticulture the epicuticular wax as the outer layer of the berry skin is known as trait which is correlated to resilience towards Botrytis bunch rot. Traditionally this trait is classified using the OIV descriptor 227 (berry bloom) in a…

Computer Vision and Pattern Recognition · Computer Science 2018-09-07 Pierre Barré , Katja Herzog , Rebecca Höfle , Matthias B. Hullin , Reinhard Töpfer , Volker Steinhage

Phylogenetic analyses of gene expression have great potential for addressing a wide range of questions. These analyses will, for example, identify genes that have evolutionary shifts in expression that are correlated with evolutionary…

Populations and Evolution · Quantitative Biology 2014-01-14 Casey W. Dunn , Xi Luo , Zhijin Wu

Artificial Intelligence (AI) has emerged as a key driver of precision agriculture, facilitating enhanced crop productivity, optimized resource use, farm sustainability, and informed decision-making. Also, the expansion of genome sequencing…

Genomics · Quantitative Biology 2024-07-25 Guanjin Wang , Junyu Xuan , Penghao Wang , Chengdao Li , Jie Lu

Rice is the number one staple food in the country, as this serves as the primary livelihood for thousands of Filipino households. However, as the tradition continues, farmers are not familiar with the different types of rice leaf diseases…

Computer Vision and Pattern Recognition · Computer Science 2023-01-16 Harold Costales , Arpee Callejo-Arruejo , Noel Rafanan