The big challenge for livestock genomics is to make sequence data pay by Johnsson, Martin

Subjects: “…genomics, animal breeding, genomic prediction, whole-genome sequence, quantitative genetics…”
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The GWAS-MAP platform for aggregation of results of genome-wide association studies and the GWAS-MAP|homo database of 70 billion genetic associations of human traits by T. I. Shashkova, D. D. Gorev, E. D. Pakhomov, A. S. Shadrina, S. Zh. Sharapov, Y. A. Tsepilov, L. C. Karssen, Y. S. Aulchenko

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Partitioning the phenotypic and genetic variances of reaction norms by de Villemereuil, Pierre, Chevin, Luis-Miguel

Subjects: “…phenotypic plasticity, quantitative genetics, character-state approach, polynomial approach, non-linear modelling…”
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Modeling feed efficiency over productive lifetime and integrating a submodel for body reserve management in Nordic dairy cattle by R.B. Stephansen, J. Lassen, V.M. Thorup, B.G. Poulsen, J. Jensen, G. Sahana, O.F. Christensen

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ADAM-multi: software to simulate complex breeding programs for animals and plants with different ploidy levels and generalized genotypic effect models to account for multiple allel... by Thinh Tuan Chu, Thinh Tuan Chu, Just Jensen

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Integrated TWAS, GWAS, and RNAseq results identify candidate genes associated with reproductive traits in cows by Sevda Hosseinzadeh, Seyed Abbas Rafat, Lingzhao Fang

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Sibling similarity can reveal key insights into genetic architecture by Tade Souaiaia, Hei Man Wu, Clive Hoggart, Paul F O'Reilly

“…The use of siblings to infer the factors influencing complex traits has been a cornerstone of quantitative genetics. Here, we utilise siblings for a novel application: the inference of genetic architecture, specifically that relating to individuals with extreme trait values (e.g. in the top 1%). …”
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Genetic control of N-glycosylation of human blood plasma proteins by S. Zh. Sharapov, A. N. Timoshchuk, Y. S. Aulchenko

“…By the beginning of the 2010s, high-throughput methods of N-glycome profiling had become available, allowing research into the genetic control of N-glycosylation using quantitative genetics methods, including genome-wide association studies (GWAS). …”
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Production of β-lactoglobulin (BLG) gene knock- out blastocyst stage embryos of Indian water buffalo using CRISPR and SCNT technology by Aseem Tara, Priyanka Singh, Devika Gautam, Gaurav Tripathi, Shreya Malhotra, Sacchinandan De, Manoj K. Singh, Naresh L. Selokar

“…Breeding strategies, nutritional management, and quantitative genetics have improved milk yield, but these approaches could not lead to significant changes in milk composition. …”
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Complete Genomic Landscape Reveals Hidden Evolutionary History and Selection Signature in Asian Water Buffaloes (Bubalus bubalis) by Jingfang Si, Dongmei Dai, Neena Amatya Gorkhali, Mingshan Wang, Sheng Wang, Saroj Sapkota, Ram Chandra Kadel, Amir Sadaula, Aashish Dhakal, Md Omar Faruque, Abdullah Ibne Omar, Eka Meutia Sari, Hidayat Ashari, Muhammad Ihsan Andi Dagong, Marnoch Yindee, Hossam E. Rushdi, Hussein Elregalaty, Ahmed Amin, Mohamed A. Radwan, Lan Doan Pham, W. M. M. P. Hulugalla, G. L. L. Pradeepa Silva, Wei Zheng, Shahid Mansoor, Muhammad Basil Ali, Farhad Vahidi, Sahar Ahmed Al‐Bayatti, Alfredo Pauciullo, Johannes A. Lenstra, J. Stuart F. Barker, Lingzhao Fang, Dong‐Dong Wu, Jianlin Han, Yi Zhang

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Gray matter volume and asymmetry in Broca's and Wernicke's area homologs in chimpanzees (Pan troglodytes) using a probabilistic region of interest approach by William D Hopkins, Muhammad A Spocter, Michele M Mulholland, Chet C Sherwood

“…Lastly, using quantitative genetic analyses, we found significant heritability in the average gray matter volume for BA44 and BA45 but not BA22. …”
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Morphoagronomic and Phenological Characteristics of Roselle (Hibiscus sabdariffa L.) Grown in Sudano-Sahelian Zone of Cameroon by Taffo Junior Baudoin Wouokoue, Francois Romain Fouelefack, Nguenjou Carole Leticia Liejip, Wanchebe Eleonore Biakdjolbo, Tchinda Elodie Mafouo

“…The variation between accessions of HS shows the potential of this germplasm for use in qualitative and quantitative genetic improvement of Roselle.…”
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Inheritance of resistance to maize lethal necrosis in tropical maize inbred lines by Hilda M. Kavai, Hilda M. Kavai, Dan Makumbi, Felister M. Nzuve, Vincent W. Woyengo, L. M. Suresh, William M. Muiru, Manje Gowda, Boddupalli M. Prasanna

“…This study aimed to assess the general (GCA) and specific combining ability (SCA), reciprocal effects, and quantitative genetic basis of MLN resistance and agronomic traits in tropical maize inbred lines. …”
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