Review
Agriculture, Dairy & Animal Science
Bingjian Huang, Muhammad Zahoor Khan, Wenqiong Chai, Qudrat Ullah, Changfa Wang
Summary: This article emphasizes the importance of donkeys as valuable livestock in arid and semi-arid regions and the need for breed conservation programs to protect genetic diversity among donkey populations. Recent advancements in sequencing and analyzing mitochondrial DNA have revolutionized the evaluation of genetic diversity, particularly in the D-loop region. Additionally, research has explored the association between genetic markers and production and reproductive traits in donkeys.
Review
Biology
Jun Xiao, Bao Liu, Yingyin Yao, Zifeng Guo, Haiyan Jia, Lingrang Kong, Aimin Zhang, Wujun Ma, Zhongfu Ni, Shengbao Xu, Fei Lu, Yuannian Jiao, Wuyun Yang, Xuelei Lin, Silong Sun, Zefu Lu, Lifeng Gao, Guangyao Zhao, Shuanghe Cao, Qian Chen, Kunpu Zhang, Mengcheng Wang, Meng Wang, Zhaorong Hu, Weilong Guo, Guoqiang Li, Xin Ma, Junming Li, Fangpu Han, Xiangdong Fu, Zhengqiang Ma, Daowen Wang, Xueyong Zhang, Hong-Qing Ling, Guangmin Xia, Yiping Tong, Zhiyong Liu, Zhonghu He, Jizeng Jia, Kang Chong
Summary: This review summarizes recent advances in genomic research and genetic improvement of bread wheat, with a focus on the contributions made by Chinese scientists. The availability of multiple reference wheat genome assemblies and cutting-edge technologies such as precise genome editing tools has opened up new possibilities for functional genomic research in wheat. Insights gained from these advances will enhance our understanding of the molecular mechanisms and regulatory networks underlying agronomic traits, and facilitate the development of modern breeding techniques for more sustainable agriculture worldwide.
SCIENCE CHINA-LIFE SCIENCES
(2022)
Article
Fisheries
Zhiyan Wang, Honghui Hu, Tianyang Sun, Xing Li, Gaolun Lv, Zhiyi Bai, Jiale Li
Summary: In this study, genomic selection was used to improve the quality of freshwater pearls by enhancing the growth performance of triangle sail mussels. The researchers identified single nucleotide polymorphisms (SNPs) related to growth traits and compared different SNP screening strategies and models for predicting breeding values. The results showed significant improvement in growth performance in the selected mussels, providing a cost-efficient genomic selection strategy for aquaculture species.
Review
Agriculture, Dairy & Animal Science
Frances Margaret Titterington, Rachel Knox, Steven James Morrison, Masoud Shirali
Summary: The study finds that genetic selection for cattle with better temperament can reduce the risk of cattle causing harm to humans and property. By conducting a literature search, the research examines heritability, genomic associations, and correlations between behavioral and production traits. The results suggest that large population studies provide more accurate heritability estimates, and gene associations with behavioral traits are found on most chromosomes. The study also concludes that there is a low correlation between behavior and production traits. A large-scale study of a specific population is needed to further understand the genetic relationships.
Review
Genetics & Heredity
Pourya Davoudi, Duy Ngoc Do, Stefanie M. Colombo, Bruce Rathgeber, Younes Miar
Summary: This review comprehensively discusses the topics related to feed efficiency (FE) in pigs, including measurements, genetics, genomics, biological pathways, and advanced technologies for improvement. A deeper understanding of the biology underlying FE is crucial for genetic improvement of FE traits.
FRONTIERS IN GENETICS
(2022)
Article
Plant Sciences
Mark J. Miller, Qijian Song, Benjamin Fallen, Zenglu Li
Summary: Improving yield is crucial in soybean breeding for profitability. Cross prediction allows breeders to identify the best parental combinations, enhancing genetic gain and efficiency. This study developed optimal cross selection methods for soybean breeding and validated them using historical data, marker evaluations, and genomic selection models.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Agriculture, Dairy & Animal Science
Ekaterina Melnikova, Artem Kabanov, Sergey Nikitin, Maria Somova, Sergey Kharitonov, Petr Otradnov, Olga Kostyunina, Tatiana Karpushkina, Elena Martynova, Aleksander Sermyagin, Natalia Zinovieva
Summary: Pig selection in Russia is hindered by the structure of large-scale breeding enterprises, limiting data usage for accurate breeding value estimation. This study evaluated the use of genomic data to improve breeding value assessment of Large White pigs, confirming the effectiveness of ssGBLUP methodology. Genomic prediction showed significant reliability increase for low heritable reproduction traits, equivalent to adding information about additional descendants in the evaluation dataset.
Article
Multidisciplinary Sciences
Jinyu Chu, Yunlong Ma, Hui Song, Qianqian Zhao, Xiaoran Wei, Yiyuan Yan, Shijie Fan, Baogui Zhou, Shijun Li, Chunyan Mou
Summary: The genetic improvement of economic traits in chicken makes it an excellent model for studying the genetic changes and molecular mechanisms underlying phenotypic diversity and artificial selection. By analyzing the sequencing data of 477 samples from 25 breeds, we identified SNPs, InDels, and SVs, and found that high-intensity artificial selection accelerates population differentiation. We also discovered that human-driven traits in chicken are controlled by polygenes and major genes, such as SOX5 and IGF1 for body size, and NEDD4 for sperm storage capacity. Our findings provide important insights into how genomic patterns shape livestock phenotypes.
Review
Biochemistry & Molecular Biology
Jie Liu, Yingyin Yao, Mingming Xin, Huiru Peng, Zhongfu Ni, Qixin Sun
Summary: Bread wheat, as a global staple food crop, has many advantageous traits but its complex genome hinders genetic improvement. Recent research has made significant progress in understanding the genetic factors underlying the origin, evolution, and improvement of bread wheat, providing new strategies and directions for future breeding.
JOURNAL OF INTEGRATIVE PLANT BIOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Christen M. Bossu, Marina Rodriguez, Christine Rayne, Debra A. Chromczak, Philip G. Higgins, Lynne A. Trulio, Kristen C. Ruegg
Summary: The accelerating loss of global biodiversity is worsened by habitat fragmentation and inbreeding in small populations. To address this issue, conservation practitioners often use assisted breeding programs to increase genetic diversity in declining populations. This study demonstrates the value of genomic approaches in enhancing genetic diversity through assisted breeding efforts, focusing on a highly inbred population of Western burrowing owls. The findings highlight the importance of genomic tools in preserving the adaptive potential of small, inbred populations at risk of further decline.
Article
Agriculture, Dairy & Animal Science
Luke M. Kramer, Anna Wolc, Hadi Esfandyari, Dinesh M. Thekkoot, Chunyan Zhang, Robert A. Kemp, Graham Plastow, Jack C. M. Dekkers
Summary: This study aimed to estimate genetic parameters for maternal reproductive traits between two purebred maternal nucleus populations (Landrace and Yorkshire) and their crossbred offspring. Single-step GBLUP analysis was conducted by considering different combinations of purebred and crossbred populations, indicating potential for improving selection of purebred animals for crossbred performance.
JOURNAL OF ANIMAL SCIENCE
(2021)
Review
Biochemistry & Molecular Biology
Daraz Ahmad, Zhongwei Zhang, Haroon Rasheed, Xiaoyong Xu, Jinsong Bao
Summary: Potato, as an important crop, can benefit from genetic mapping and transgenic approaches to improve both yield and nutritional value, offering a solution to the increasing global population issue.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Review
Biotechnology & Applied Microbiology
Gopalareddy Krishnappa, Siddanna Savadi, Bhudeva Singh Tyagi, Sanjay Kumar Singh, Harohalli Masthigowda Mamrutha, Satish Kumar, Chandra Nath Mishra, Hanif Khan, Krishnappa Gangadhara, Govindareddy Uday, Gyanendra Singh, Gyanendra Pratap Singh
Summary: Increasing the rate of crop improvement is crucial for sustained food production and meeting the needs of a growing population. Genomic selection offers accelerated breeding cycles through the rapid selection of superior genotypes, with advantages in prediction accuracy and efficiency over other breeding methods. Integrating novel technologies into GS can further enhance efficiency and speed, facilitating the development of new varieties.
Article
Agronomy
Ann Christin Ronnberg-Wastljung, Louis Dufour, Jie Gao, Per-Anders Hansson, Anke Herrmann, Mohamed Jebrane, Ann-Christine Johansson, Saurav Kalita, Roger Molinder, Nils-Erik Nordh, Jonas A. Ohlsson, Volkmar Passoth, Mats Sandgren, Anna Schnurer, Andong Shi, Nasko Terziev, Geoffrey Daniel, Martin Weih
Summary: This paper provides an overview of the challenges and key issues in the genetic improvement of willow for sustainable biofuel value chains. It discusses the influence of willow wood quality on biofuel use, as well as the conversion of willow biomass into transportation fuels. The paper also addresses the genotypic influence on soil carbon sequestration and climate change impacts. The findings show that there is potential for sustainable biomass production and biofuel conversion in willow plantations, and that genetic variation plays a crucial role in wood and biomass traits.
GLOBAL CHANGE BIOLOGY BIOENERGY
(2022)
Article
Plant Sciences
Helen M. Cockerton, Amanda Karlstrom, Abigail W. Johnson, Bo Li, Eleftheria Stavridou, Katie J. Hopson, Adam B. Whitehouse, Richard J. Harrison
Summary: Our study highlighted a trade-off between total soluble sugar content and class one yield in strawberries, and recommended the use of marker assisted selection and genomic prediction to capture genetic variation. By selecting parental lines based on the number of marketable fruits produced per plant, a significant increase in strawberry yield can be achieved.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Agriculture, Dairy & Animal Science
B. Lopez, C. W. Song, K. S. Seo
INDIAN JOURNAL OF ANIMAL RESEARCH
(2019)
Article
Agriculture, Dairy & Animal Science
Bryan Irvine Lopez, Ju-Hwan Son, Kangseok Seo, Dajeong Lim
Article
Agriculture, Dairy & Animal Science
Bryan I. M. Lopez, Kangseok Seo
ANIMAL SCIENCE JOURNAL
(2019)
Article
Genetics & Heredity
Bryan Irvine Lopez, Seung-Hwan Lee, Jong-Eun Park, Dong-Hyun Shin, Jae-Don Oh, Sara de las Heras-Saldana, Julius van der Werf, Han-Ha Chai, Woncheoul Park, Dajeong Lim
Article
Agriculture, Dairy & Animal Science
Swati Srivastava, Bryan Irvine Lopez, Sara de las Heras-Saldana, Jong-Eun Park, Dong-Hyun Shin, Han-Ha Chai, Woncheol Park, Seung-Hwan Lee, Dajeong Lim
Article
Agriculture, Dairy & Animal Science
Bryan Irvine Lopez, Kier Gumangan Santiago, Donghui Lee, Seungmin Ha, Kangseok Seo
Article
Agriculture, Dairy & Animal Science
Bryan Irvine Lopez, Kier Gumangan Santiago, Kangseok Seo, Taejoon Jeong, Jong-Eun Park, Han-Ha Chai, Woncheoul Park, Dajeong Lim
Correction
Genetics & Heredity
Bryan Irvine Lopez, Seung-Hwan Lee, Jong-Eun Park, Dong-Hyun Shin, Jae-Don Oh, Sara de las Heras-Saldana, Julius van der Werf, Han-Ha Chai, Woncheoul Park, Dajeong Lim
Article
Genetics & Heredity
Bryan Irvine Lopez, Kier Gumangan Santiago, Donghui Lee, Younggyu Cho, Dajeong Lim, Kangseok Seo
Article
Agriculture, Dairy & Animal Science
Swati Srivastava, Bryan Irvine Lopez, Himansu Kumar, Myoungjin Jang, Han-Ha Chai, Woncheoul Park, Jong-Eun Park, Dajeong Lim
Summary: This study evaluated the predictive performance of three machine learning methods in predicting carcass traits of Hanwoo cattle. The results showed that XGB and GBLUP had the best predictive correlations for different traits, suggesting that GBLUP is still recommended for predicting genomic breeding values in Hanwoo cattle.
Article
Biology
Kier Gumangan Santiago, Bryan Irvine Lopez, Sung-Hoon Kim, Dong-Hui Lee, Young-Gyu Cho, Yu-Na Song, Kang-Seok Seo
Summary: The study estimated genetic parameters for different feed efficiency traits and found that RFI had low heritability in DD and YY, and moderate heritability in LL. Pen variance had a significant contribution to FE, and genetic correlation indicated that selecting against less complex RFI in DD and LL, as well as RFI2 in YY, could reduce feed intake without affecting daily weight gain, decrease backfat, and increase lean percentage.
Article
Agronomy
Kier G. Santiago, Sung-Hoon Kim, Bryan Irvine Lopez, Dong-Hui Lee, Young-Gyu Cho, Yu-Na Song, Kang-Seok Seo
Summary: The study aimed to estimate the genetic parameters of different feeding pattern traits in Duroc pigs and their genetic relationships with production traits and feed efficiency traits. The results showed that feeding pattern traits had potential in improving feed efficiency and production traits, but there were inconsistencies in genetic and phenotypic correlations with certain traits such as AOTD. Further research is needed to evaluate the impact of these feeding pattern traits at the phenotypic level.
Article
Agriculture, Dairy & Animal Science
Bryan Irvine Lopez, Seung-Hwan Lee, Dong-Hyun Shin, Jae-Don Oh, Han-Ha Chai, Woncheoul Park, Jong-Eun Park, Dajeong Lim
Article
Agriculture, Dairy & Animal Science
Sara de las Heras-Saldana, Bryan Irvine Lopez, Nasir Moghaddar, Woncheoul Park, Jong-eun Park, Ki Y. Chung, Dajeong Lim, Seung H. Lee, Donghyun Shin, Julius H. J. van der Werf
GENETICS SELECTION EVOLUTION
(2020)