Results 41 to 50 of about 749,342 (160)
Implementing a resilience‐based management system in Mongolia's rangelands
Ecosphere, Volume 14, Issue 10, October 2023., 2023 Abstract
A primary challenge in advancing sustainability in rangelands and drylands is the lack of governance systems that are linked to information about highly variable ecosystem conditions. Here, we describe the national‐scale implementation of a resilience‐based management system in the rangelands of Mongolia.Burmaa Dashbal, Brandon T. Bestelmeyer, Bulgamaa Densambuu, Budbaatar Ulambayar, Sumjidmaa Sainnemekh, Justin Van Zee, Jeb Williamson, Ankhtsetseg Battur, Enkh‐Amgalan Tseelei +8 morewiley +1 more sourceEcogroups and maternal haplogroups reveal the ancestral origin of native Chinese goat populations based on the variation of mtDNA D‐loop sequences
Ecology and Evolution, Volume 13, Issue 8, August 2023., 2023 Native Chinese goat breeds were mainly divided into three haplogroups: HapA, HapB, and HapC, originated from five, one, and two maternal ancestors, respectively, and were associated with the ecogroups. The goat populations expanded in the different ecoregions. The relative evolutionary rate of goat mtDNA D‐loop differed among the ecogroups.Wenjuan Qin, Daosong Chen, Panpan Guo, Lixing Hu, Xiaodong Zheng, Jin Cheng, Hongquan Chen +6 morewiley +1 more sourceGeographical contrasts of Y‐chromosomal haplogroups from wild and domestic goats reveal ancient migrations and recent introgressions
Molecular Ecology, Volume 31, Issue 16, Page 4364-4380, August 2022., 2022 Abstract
By their paternal transmission, Y‐chromosomal haplotypes are sensitive markers of population history and male‐mediated introgression. Previous studies identified biallelic single‐nucleotide variants in the SRY, ZFY and DDX3Y genes, which in domestic goats identified four major Y‐chromosomal haplotypes, Y1A, Y1B, Y2A and Y2B, with a marked ...VarGoats Consortium, Isaäc J. Nijman, Benjamin D. Rosen, Philippe Bardou, Thomas Faraut, Tristan Cumer, Kevin G. Daly, Zhuqing Zheng, Yudong Cai, Hojjat Asadollahpour, Bengi Çınar Kul, Wei‐Yi Zhang, Guangxin E., A. Ayin, Hayley Baird, Meirat Bakhtin, Valentin A. Bâlteanu, Diana Barfield, Beate Berger, Thor Blichfeldt, Geert Boink, Sri R. A. Bugiwati, Zexi Cai, Sean Carolan, Emily Clark, Vlatka Cubric‐Curik, Muhammad I. A. Dagong, Tashi Dorji, Louise Drew, Jiazhong Guo, Jón Hallsson, Simon Horvat, Juha Kantanen, Fuki Kawaguchi, Polat Kazymbet, Negar Khayatzadeh, Namshin Kim, Manoj Kumar Shah, Yuying Liao, Amparo Martínez, Joseph S. Masangkay, Maho Masaoka, Raffaele Mazza, John McEwan, Marco Milanesi, Faruque Md. Omar, Yuto Nomura, Nadjet‐Amina Ouchene‐Khelifi, Filipe Pereira, Goutam Sahana, Mazdak Salavati, Shinji Sasazaki, Anne Da Silva, Mojca Simčič, Johann Sölkner, Alison Sutherland, Johannes Tigchelaar, Hongpin Zhang, Econogene Consortium, Paolo Ajmone‐Marsan, Daniel G. Bradley, Licia Colli, Cord Drögemüller, Yu Jiang, Chuzhao Lei, Hideyuki Mannen, François Pompanon, Gwenola Tosser‐Klopp, Johannes A. Lenstra, James Kijas, Bernt Guldbrandtsen, Laure Denoyelle, Julien Sarry, Estel le Talouarn, Adriana Alberti, Céline Orvain, Stefan Engelen, Dylan Duby, Pierre Martin, Coralie Danchin, Delphine Duclos, Daniel Allain, Remy Arquet, Nathalie Mandonnet, Michel Naves, Isabelle Palhiere, Rachel Rupp, Francois Pompanon, Hamid R. Rezaei, Maeve Foran, Alessandra Stella, Marcello Del Corvo, Alessandra Crisa, Donata Marletta, Paola Crepaldi, Michele Ottino, Ettore Randi, Denis Fidalis Mujibi, Timothy Gondwe, Badr Benjelloun, Maria Da Gloria Taela, Oyekan Nash, Muhammad Moaeen‐ud‐Din, Carina Visser, Felix Goyache, Isabel Alvarez, Marcel Amills, Armand Sànchez, Juan Capote, Jordi Jordana, Agueda Pons, Illes Balears, Antonio Molina, Hassan Ally Mruttu, Clet Wandui Masiga, Curtis P. Van Tassell, Jim Reecy, Gordon Luikart, Joseph Sikosana, Hoda Anila, Dobi Petrit, Baumung Roswitha, Baret Philippe, Fadlaoui Aziz, Papachristoforou Christos, M. A. A. El‐Barody, Taberlet Pierre, England Phillip, Luikart Gordon, Beja‐Pereira Albano, Zundel Stéphanie, Trommetter Michel, Erhardt Georg, Brandt Horst, Ibeagha‐Awemu Eveline, Gesine Lühken, Daniela Krugmann, Prinzenberg Eva‐Maria, Lipsky Shirin, Gutscher Katja, Peter Christina, Roosen Jutta, Bertaglia Marco, Georgoudis Andreas, Jamil Al Tarrayrah, Kliambas Georgios, Kutita Olga, Karetsou Katerina, Ligda Christina, Istvan Anton, Fesus Lazlo, Canali Gabriele, Milanesi Elisabetta, Pellecchia Marco, Carta Antonello, Sechi Tiziana, Cicogna Mario, Fornarelli Francesca, Giovenzana Stefano, Marilli Marta, S. Bordonaro, D’ Urso Giuseppe, Pilla Fabio, D’ Andrea Mariasilvia, Valentini Alessio, Cappuccio Irene, Pariset Lorraine, Abo‐Shehada Mahamoud, Lisette M. Van Cann, Niznikowski Roman, Dominik Popielarczyk, Strzelec Ewa, Vlaic Augustin, Dunner Susana, Canon Javier, Cortes Oscar, Garcia David, Caloz Régis, Obexer‐Ruff Gabriela, Marie‐Louise Glowatzki, Ertugrul Okan, Togan Inci, Koban Evren, Bruford Mike, Perez Trinidad, Juma Gabriela, Hewitt Godfrey, Dalamitra Stella, Wiskin Louise, Taylor Martin, Jones Sam, Scarpa Riccardo +191 morewiley +1 more sourceTimes of debt: heterochrony and bank loans in rural Mongolia
Journal of the Royal Anthropological Institute, Volume 27, Issue 3, Page 638-652, September 2021., 2021 Abstract
Recent scholarship in economic anthropology examines how the intersection of multiple forms of temporality shapes the time of debt relations. This article builds on and refines these approaches by analysing debt as a social relation that ‘folds’ the time of other relations within itself.Joseph Bristleywiley +1 more sourceMultiple potential roles of thymosin β4 in the growth and development of hair follicles
Journal of Cellular and Molecular Medicine, Volume 25, Issue 3, Page 1350-1358, February 2021., 2021 Abstract
The hair follicle (HF) is an important mini‐organ of the skin, composed of many types of cells. Dermal papilla cells are important signalling components that guide the proliferation, upward migration and differentiation of HF stem cell progenitor cells to form other types of HF cells.Bai Dai, Ri‐Na Sha, Jian‐Long Yuan, Dong‐Jun Liu +3 morewiley +1 more sourceTranscriptomes reveal microRNAs and mRNAs in different photoperiods influencing cashmere growth in goat.
PLoS ONE, 2023 Cashmere goat has a typical characteristic in seasonal growth of cashmere. Studies have shown that one of the main factors affecting the cyclical growth of the cashmere is the photoperiod, however, its molecular mechanism remains unclear.Bin Liu, Ruoyang Zhao, Tiecheng Wu, Yuejun Ma, Yulin Gao, Yahan Wu, Bayasihuliang Hao, Jun Yin, Yurong Li +8 moredoaj +1 more sourceTranscriptomic analysis reveals critical genes for the hair follicle of Inner Mongolia cashmere goat from catagen to telogen. [PDF]
PLoS One, 2018 There are two main types of hair follicle in Inner Mongolia Cashmere goats, the primary hair follicle (PHF) producing hair fibers and the secondary hair follicle (SHF) producing cashmere fibers. Of both fibers from cashmere-bearing goats in Aerbasi, Inner Mongolia, the timing of cyclical phases for the cashmere have been well clarified but hair fibers ...Su R, Fan Y, Qiao X, Li X, Zhang L, Li C, Li J. +6 moreeuropepmc +5 more sourcesConstruction and functional analysis of ceRNA regulatory network related to the development of secondary hair follicles in Inner Mongolia cashmere goats
Frontiers in Veterinary Science, 2022 Cashmere goat hair follicles are divided into primary hair follicles and secondary hair follicles. The primary hair follicles produce coarse hair, and the secondary hair follicles produce cashmere.Fangzheng Shang, Rong Ma, Youjun Rong, Jianfeng Pan, Min Wang, Shuran Niu, Yunpeng Qi, Yanbo Li, Zhiying Wang, Qi Lv, Ruijun Wang, Rui Su, Zhihong Liu, Yanhong Zhao, Zhixin Wang, Jinquan Li, Jinquan Li, Jinquan Li, Yanjun Zhang +18 moredoaj +1 more sourceTable_1_Genome-Wide Association Study of Body Weight Traits in Inner Mongolia Cashmere Goats.DOCX
, 2021 Objective: Body weight is an important economic trait for a goat, which greatly affects animal growth and survival. The purpose of this study was to identify genes associated with birth weight (BW), weaning weight (WW), and yearling weight (YW).Materials Zhixin Wang (310470), Zhiying Wang (103469), Lei Zhang (38117), Yanjun Zhang (168997), Qi Lv (169217), Xiaochun Yan (11777468), Zhihong Liu (112690), Fenghong Wang (11777462), Ruijun Wang (4256416), Libing He (11777471), Gong Gao (11777465), Jinquan Li (112721), Rui Su (822125), Hongfu Liu (10347684) +13 morecore +1 more source
