Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Michael, Dingkuhn"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
Abstract This study presents a comprehensive study of the genetic bases controlling variation in the rice ionome employing genome-wide association studies (GWAS) with a diverse panel of indica accessions, each genotyped with 5.2 million markers. GWAS
Externí odkaz:
https://doaj.org/article/582e7c5703ec436684b95b4b43149973
Autor:
Jian Zhang, Kai Chen, Yunlong Pang, Shahzad Amir Naveed, Xiuqin Zhao, Xiaoqian Wang, Yun Wang, Michael Dingkuhn, Julie Pasuquin, Zhikang Li, Jianlong Xu
Publikováno v:
BMC Genomics, Vol 18, Iss 1, Pp 1-15 (2017)
Abstract Background Ferrous iron (Fe) and zinc (Zn) at high concentration in the soil cause heavy metal toxicity and greatly affect rice yield and quality. To improve rice production, understanding the genetic and molecular resistance mechanisms to e
Externí odkaz:
https://doaj.org/article/7317372586eb4e7a90a3c3602ef6762e
Autor:
Denis Fabre, Michael Dingkuhn
Publikováno v:
Plant Breeding
Acevedo-Siaca et al. (2021) reported that Amax (at saturating CO2) is more heritable than Asat (at ambient CO2) in rice and suggested the former to be selected to improve photosynthesis under rising ambient [CO2] levels. This commentary hypothesizes
Autor:
Fan Zhang, Zhi-Chao Wu, Ming-Ming Wang, Michael Dingkuhn, Jian-Long Xu, Yong-Li Zhou, Zhi-Kang Li
Publikováno v:
PLoS ONE, Vol 12, Iss 3, p e0174598 (2017)
Bacterial blight, which is caused by Xanthomonas oryzae pv. oryzae (Xoo), is one of the most devastating rice diseases worldwide. The development and use of disease-resistant cultivars have been the most effective strategy to control bacterial blight
Externí odkaz:
https://doaj.org/article/41ba1d5d31804565a0e15632319ba866
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p e0169706 (2017)
Numerous studies have addressed effects of rising atmospheric CO2 concentration on rice biomass production and yield but effects on crop water use are less well understood. Irrigated rice evapotranspiration (ET) is composed of floodwater evaporation
Externí odkaz:
https://doaj.org/article/2ce804244cfd49eb8e034b4c4f056ec5
Autor:
Maria Camila Rebolledo, Alexandra Lorena Pena, Jorge Duitama, Daniel Cruz, michael Dingkuhn, Cecile Grenier, Joseph Tohme
Publikováno v:
Frontiers in Plant Science, Vol 7 (2016)
Number of spikelets per panicle (NSP) is a key trait to increase yield potential in rice (O. sativa). The architecture of the rice inflorescence which is mainly determined by the length and number of primary (PBL and PBN) and secondary (SBL and SBN)
Externí odkaz:
https://doaj.org/article/2aeb02a4b4924ad1a0de956726c98b15
Publikováno v:
Plant Production Science, Vol 8, Iss 2, Pp 145-151 (2005)
The aim of this study is to characterize the plasticity of root and shoot morphology in rice, the genomic model plant for cereals, using P deficiency as environmental factor causing variability. A phytotron study on Nipponbare (Oryza Sativa L.) seedl
Externí odkaz:
https://doaj.org/article/576a9f6c268244ae9bdfb0d7e81624e9
Autor:
Xianjin Qiu, Yunlong Pang, Zhihua Yuan, Danying Xing, Jianlong Xu, Michael Dingkuhn, Zhikang Li, Guoyou Ye
Publikováno v:
PLoS ONE, Vol 10, Iss 12, p e0145577 (2015)
Grain appearance quality and milling quality are the main determinants of market value of rice. Breeding for improved grain quality is a major objective of rice breeding worldwide. Identification of genes/QTL controlling quality traits is the prerequ
Externí odkaz:
https://doaj.org/article/4e0a73514b324a88b65b55f061da05b3
Autor:
Brigitte Courtois, Alain Audebert, Audrey Dardou, Sandrine Roques, Thaura Ghneim-Herrera, Gaëtan Droc, Julien Frouin, Lauriane Rouan, Eric Gozé, Andrzej Kilian, Nourollah Ahmadi, Michael Dingkuhn
Publikováno v:
PLoS ONE, Vol 8, Iss 11, p e78037 (2013)
Rice is a crop prone to drought stress in upland and rainfed lowland ecosystems. A deep root system is recognized as the best drought avoidance mechanism. Genome-wide association mapping offers higher resolution for locating quantitative trait loci (
Externí odkaz:
https://doaj.org/article/07840b21a10743599beb7fa742db7746
Autor:
Yubin Yang, Lloyd T. Wilson, Tao Li, Livia Paleari, Roberto Confalonieri, Yan Zhu, Liang Tang, Xiaolei Qiu, Fulu Tao, Yi Chen, Gerrit Hoogenboom, Kenneth J. Boote, Yujing Gao, Akio Onogi, Hiroshi Nakagawa, Hiroe Yoshida, Shiori Yabe, Michael Dingkuhn, Tanguy Lafarge, Toshihiro Hasegawa, Jing Wang
Publikováno v:
Field Crops Research
The ability of crop models to decompose complex traits and integrate the underlying processes enables them to capture genotype-environment interactions in diverse environments. Integrating genomics with biophysical crop models represents a potential