21 papers · ranked by Valyu relevance
Mohamed S. Abd El-Aty, Youssef S. Katta, Abd El Moaty B. El-Abd, Samiha M. Mahmoud + 6 more
'Samiha M. Mahmoud' 'Omar M. Ibrahim' 'Mohamed A. Eweda' 'Mohamed T. El-Saadony' 'Synan F. AbuQamar' 'Khaled A. El-Tarabily' 'Amira M. El-Tahan'] Drought is considered a major threat to rice production. This study aimed to determine the effects of drought stress on the estimates of heterosis and the combining ability…
R.G. Dragov
related to productivity in durum wheat Комбинационная способность количественных признаков, связанных с продуктивностью твердой пшеницы Authors: ['R.G. Dragov'] The present study was to determine the nature of gene action and combining ability of six quantitative traits related to productivity of five varieties and ten…
Most. Shaika Shafin, Most. Shanaj Parvin, Md Ehsanul Haque, Fahmida Akhter
Twenty hybrids along with five parents evaluated in the study were mainly contemplated to find out the best cross combinations and the best general and specific combiners as well as to estimate the nature and magnitude of the gene action for different qualitative traits. Using Griffing’s and Hayman’s approach through a…
José I. Saavedra-Ávila, Guillermo S. Gerard, Salvatore Esposito, Velu Govindan + 10 more
In wheat breeding programs, several hundred crosses are performed annually, but only individuals from a few families advance to the final stages of the breeding pipelines. Therefore, a deeper understanding of the general combining ability (GCA) of wheat genotypes might enhance the breeding efficiency in selecting…
M.S. Abdel-Aty, F. A. Sorour, W. M. B. Yehia, H. M. K. Kotb + 4 more
'Ahmed M. Abdelghany' 'Sobhi F. Lamlom' 'Adnan Noor Shah' 'Nader R. Abdelsalam'] It is crucial to understand how targeted traits in a hybrid breeding program are influenced by gene activity and combining ability. During the three growing seasons of 2015, 2016, and 2017, a field study was conducted with twelve cotton…
Badié Arnaud Kouago, Dagou Seka, Kouakou Fulgence Brou, Beket Severin Bonny + 3 more
Twelve hybrids and their four parental lines were evaluated for their general performances, combining abilities, potency ratio and heterosis effects. Taller plants and smaller fruits characterized the parental line Long, while the Soubre parent showed favorable fruit and seed traits but with a small number of seeds.…
Xiaoman Ma, Weifeng Guo, Liangrong He, Xinchuan Cao + 1 more
Objective Combining ability analysis forms the basis for selecting suitable parents and hybrid combinations. The performance of combining ability is influenced significantly by environmental conditions. Therefore, it is essential to comprehensively evaluate advantageous parents and hybrid combinations through…
José Marcelo Soriano Viana
The current theoretical knowledge concerning the influence of epistasis on heterosis is based on simplified multiplicative model. The objective of this study was to assess the impact of epistasis in the heterosis and combining ability analyses, assuming additive model, hundreds of genes, linkage disequilibrium (LD)…
Yizhong Zhang, Jing Chen, Zhenfeng Gao, Huiyan Wang + 7 more
'Qi Guo' 'Xiaojuan Zhang' 'Xinqi Fan' 'Yuxiang Wu' 'Qingshan Liu' 'Mehdi Rahimi'] In sorghum [Sorghum bicolor (L.) Moench], combining ability and heterosis analysis are commonly used to evaluate superior parental lines and to screen for strongly heterotic hybrids, which helps in sorghum variety selection and breeding.…
Alazraki, Lisa, Chen, Lihu + 8 more
Large Language Models (LLMs) have achieved high accuracy on complex commonsense and mathematical problems that involve the composition of multiple reasoning steps. However, current compositional benchmarks testing these skills tend to focus on either commonsense or math reasoning, whereas LLM agents solving real-world…
Miruna Serian, A. James Mason, Christian D. Lorenz
Synergy between antimicrobial peptides (AMPs) may be the key to their evolutionary success and could be exploited to develop more potent antibacterial agents. One of the factors thought to be essential for AMP potency is their conformational flexibility, but characterizing the diverse conformational states of AMPs…
Jose L. Medina-Franco, Edgar López-López, Johny R. Rodríguez-Pérez, Héctor F. Cortés-Hernández + 1 more
In Chemoinformatics, as in many other computational-related disciplines, it is a common practice to identify the “single best” approach or methodology, for instance, identify the best fingerprint representation, the best single virtual screening approach or protocol, the optimal representation of the chemical space…
Jyothish Pari, Samy Jelassi, Pulkit Agrawal
In this work, we explore the limitations of combining models by averaging intermediate features, referred to as model merging, and propose a new direction for achieving collective model intelligence through what we call compatible specialization. Current methods for model merging, such as parameter and feature…
Tomasz Slezak, Kelly M. O’Leary, Jinyang Li, Ahmed Rohaim + 2 more
We have developed a portfolio of antibody-based modules that can be prefabricated as standalone units and snapped together in plug-and-play fashion to create uniquely powerful multifunctional assemblies. The basic building blocks are derived from multiple pairs of native and modified Fab scaffolds and protein G (PG)…
Michael D. Evans, Yang Jian Guo
The problem of combining the evidence concerning an unknown, contained in each of k Bayesian inference bases, is discussed. This can be considered as a generalization of the problem of pooling k priors to determine a consensus prior. The linear opinion pool of Stone (1961) is seen to have the most appropriate…
Zhiyuan Hu, Yibo Wang, Hanze Dong, Yuhui Xu + 4 more
'Caiming Xiong' 'Bryan Hooi' 'Junnan Li'] Large reasoning models (LRMs) already possess a latent capacity for long chainof-thought reasoning. Prior work has shown that outcome-based reinforcement learning (RL) can incidentally elicit advanced reasoning behaviors such as selfcorrection, backtracking, and…
Joseph D. Clark, Tanner J. Dean, Diwakar Shukla
Deep learning models have become fundamental tools in drug design. In particular, large language models trained on biochemical sequences learn feature vectors that guide drug discovery through virtual screening. However, such models do not capture the molecular interactions important for binding affinity and…
Patten, Sean, Pin‐Yu Chen, Christina Schweikert + 1 more
Sean Patten† , Pin-Yu Chen‡ , Christina Schweikert¶ , D. Frank Hsu† †Laboratory of Informatics and Data Mining, Department of Computer and Information Science, Fordham University, New York, NY 10023, USA IBM Thomas J. Watson Research Center, Yorktown Heights, NY 10598, USA ¶Division of Computer Science, Mathematics and…
Xingze Gao, Chuanrui Hu, Hongda Chen, Pengfei Yao + 8 more
Agent self-evolution in long-horizon LLM systems is largely procedural: useful experience is not merely stored information, but reusable procedures for searching, debugging, and verification. Yet current evaluations do not isolate this form of transfer. Agent benchmarks test single-episode task solving; memory…
Fabian Späth, Michele Stasi, Héctor Soria-Carrera, Judit Sastre + 2 more
Dynamic combinatorial chemistry (DCC) creates libraries of molecules that are constantly interchanging in a dynamic combinatorial library. When a library member self-assembles, it can displace the equilibria, leading to emergent phenomena like its selection or even its replication. However, such dynamic combinatorial…
Alexander Plunkett, Kaan Temiz, Chad Warren, Valea Wisniewski + 5 more
Self-assembly of nano-building blocks has emerged as a key tool to direct the arrangement and the collective properties of nanomaterials. Nevertheless, the lack of control over larger length scales when nanomaterials are processed typically leads to defects which scale with the dimensions of the specimen. This…