Results 11 to 20 of about 1,153,004 (118)

Meta-analysis of grain yield QTL identified during agricultural drought in grasses showed consensus [PDF]

BMC Genomics, 2011
Background In the last few years, efforts have been made to identify large effect QTL for grain yield under drought in rice. However, identification of most precise and consistent QTL across the environments and genetics backgrounds is essential for ...
Ahmed HU, Dixit Shalabh, Vikram Prashant, Swamy BP Mallikarjuna, Kumar Arvind   +4 more
doaj   +3 more sources

Meta-QTL analysis reveals the important genomics regions for biotic stresses, nutritional quality and yield related traits in pearl millet [PDF]

CABI Agriculture and Bioscience
Pearl millet (Cenchrus americanus) is the sixth most significant cereal crop cultivated on 30 million ha and a staple diet for 90 million poor people across the globe.
Shreshth Gupta, Sagar Krushnaji Rangari, Aakash Sahu, Yogesh Dashrath Naik, C. Tara Satayavathi, Somashekhar Punnuri, Mahendar Thudi   +6 more
doaj   +2 more sources

Integrating Meta-QTL mapping and RNA-seq analysis identifies candidate genes for cold tolerance at rice seedling stage

BMC Plant Biology
Cold stress severely limits rice growth and yield. To overcome the limitations of traditional QTL mapping, this study employed an integrated Meta-QTL and RNA-seq approach to systematically identify cold tolerance genes in rice seedlings. We meta-analyzed
Xiu-Jie Li, Pedro García-Caparros, Ye-Dong Sun, Yi-Shan Cheng, Yun-Yu Li, Ming-Hui Zhao, Zhi-Fu Guo   +6 more
doaj   +2 more sources

Meta-analysis of QTL for morphological traits of flag leaf in wheat.

, 2022
Meta-analysis of QTL for morphological traits of flag leaf in wheat.
Jia Wu (169990), Cunwu Chen (12533860), Md. Samiul Islam (12368722), Binbin Du (3431237), Peipei Wei (6534719), Chaoyue Sun (4688902), Baowei Lu (13146585), Dong Liu (115204)   +7 more
core   +1 more source

Combining two Meishan F2 crosses improves the detection of QTL on pig chromosomes 2, 4 and 6 [PDF]

, 2010
Background In pig, a number of experiments have been set up to identify QTL and a multitude of chromosomal regions harbouring genes influencing traits of interest have been identified. However, the mapping resolution remains limited in most cases and the
Gilbert Hélène, Heuven, H.C.M., Riquet, J., Bidanel, Jean Pierre, Henri CM Heuven, Bidanel, J-P., Bidanel, J.P., Riquet, Juliette, Tortereau, F.J.D., Hélène Gilbert, Tortereau Flavie, Riquet Juliette, Groenen Martien AM, Jean-Pierre Bidanel, Tortereau, Flavie, Heuven Henri CM, Gilbert, Hélène, Flavie Tortereau, Tortereau, F., Martien AM Groenen, Groenen, M.A.M., Heuven, Henri Cm, Bidanel Jean-Pierre, Groenen, Martien Am, Gilbert, H.J., Gilbert, H., Juliette Riquet, Advances in Veterinary Medicine, Geneeskunde van gezelschapsdieren   +28 more
core   +1 more source

Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds

Genetics Selection Evolution, 2020
Background Sequence-based genome-wide association studies (GWAS) provide high statistical power to identify candidate causal mutations when a large number of individuals with both sequence variant genotypes and phenotypes is available.
Irene van den Berg, Ruidong Xiang, Janez Jenko, Hubert Pausch, Mekki Boussaha, Chris Schrooten, Thierry Tribout, Arne B. Gjuvsland, Didier Boichard, Øyvind Nordbø, Marie-Pierre Sanchez, Mike E. Goddard   +11 more
doaj   +1 more source

BioMercator : A complete framework to integrate QTL, meta-QTL, genome annotation and genome-wide association studies

, 2016
International audienceCompilation of genetic maps combined to QTL meta-analysis has proven to be a powerful approach contributing to the identification of candidate genes underlying quantitative traits. One of the most interesting properties of meta-QTL (
Charcosset, Alain, Nicolas, Stéphane, Joets, Johann, Ait-Braham, Lydia, Mabire, Clément, Steinbach, Delphine, de Oliveira, Yannick, Negro, Sandra   +7 more
core   +5 more sources

Linked candidate genes of different functions for white mold resistance in common bean (Phaseolus vulgaris L) are identified by multiple QTL mapping approaches

Frontiers in Plant Science, 2023
White mold (WM) is a major disease in common bean (Phaseolus vulgaris L.), and its complex quantitative genetic control limits the development of WM resistant cultivars.
Atena Oladzad, Jayanta Roy, Sujan Mamidi, Phillip N. Miklas, Rian Lee, Josh Clevenger, Zachary Myers, Walid Korani, Phillip E. McClean, Phillip E. McClean   +9 more
doaj   +1 more source

A Meta-Analysis of Quantitative Trait Loci Associated with Multiple Disease Resistance in Rice (Oryza sativa L.)

Plants, 2020
Rice blast, sheath blight and bacterial leaf blight are major rice diseases found worldwide. The development of resistant cultivars is generally perceived as the most effective way to combat these diseases.
Ilakiya Sharanee Kumar, Kalaivani Nadarajah   +1 more
doaj   +1 more source

Multi-environment QTL mixed models for drought stress adaptation in wheat [PDF]

, 2008
Many quantitative trait loci (QTL) detection methods ignore QTL-by-environment interaction (QEI) and are limited in accommodation of error and environment-specific variance.
Mathews, K.L., Malosetti, M., McIntyre, L., Chapman, S., Reynolds, M., Shorter, R., Eeuwijk, F.A., van   +6 more
core   +1 more source