Results 41 to 50 of about 94,301 (316)

Comparison of analyses of the QTLMAS XIII common dataset. II: QTL analysis [PDF]

, 2010
Background - Five participants of the QTL-MAS 2009 workshop applied QTL analyses to the workshop common data set which contained a time-related trait: cumulative yield.
Calus, M.P.L., John Bastiaansen, Coster, A., Albart Coster, Bastiaansen, J.W.M., Marco Bink, Bink, M.C.A.M., Maliepaard, C.A., Chris Maliepaard, Mario Calus   +9 more
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Study on fine mapping of QTL for juice yield traits of sweet sorghum (Sorghum dochna)

Czech Journal of Genetics and Plant Breeding, 2022
The stem juice yield is a key factor that influences both the biological and economic production of sweet sorghum [Sorghum dochna (Forssk.) Snowden]. To elucidate upon the genetic basis of the stem juice yield, an F5 population developed from a cross ...
Bo Zhao, Buxian Xia, Jianming Gao, Feng Luo, Qiuling Chen, Jianpeng Lv, Oujing Li, Jingwang Li, Xiaopeng Tong, Huifen Liu, Shoujun Sun, Zhongyou Pei   +11 more
doaj   +1 more source

Exome QTL-seq maps monogenic locus and QTLs in barley [PDF]

BMC Genomics, 2017
QTL-seq, in combination with bulked segregant analysis and next-generation sequencing (NGS), is used to identify loci in small plant genomes, but is technically challenging to perform in species with large genomes, such as barley. A combination of exome sequencing and QTL-seq (exome QTL-seq) was used to map the mono-factorial Mendelian locus black ...
Hiroshi Hisano, Kazuki Sakamoto, Hiroki Takagi, Ryohei Terauchi, Kazuhiro Sato   +4 more
openaire   +2 more sources

Sensitivity of methods for estimating breeding values using genetic markers to the number of QTL and distribution of QTL variance [PDF]

, 2010
The objective of this simulation study was to compare the effect of the number of QTL and distribution of QTL variance on the accuracy of breeding values estimated with genomewide markers (MEBV).
Bovenhuis, H., Bastiaansen John WM, Bovenhuis Henk, van Arendonk Johan AM, Calus Mario PL, John W. M. Bastiaansen, Mario P. L. Calus, Coster, A., Albart Coster, Henk Bovenhuis, Bastiaansen, J.W.M., Calus, M.P.L., Johan A. M. van Arendonk, Arendonk, J.A.M., van, van Arendonk, J.A.M., Coster Albart   +15 more
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آنالیز آثار متقابل افزایشی، غلبه و ایمپرینتینگQTL با هچ و جنس روی برخی صفات کروموزوم 5 بلدرچین ژاپنی [PDF]

پژوهشهای علوم دامی ایران, 2017
یک جمعیت نسل دوم از بلدرچین ژاپنی برای یافتن جایگاه‌های ژنی مربوط به صفات لاشه روی کروموزوم 5 با استفاده از نشانگرهای ریزماهواره بررسی شد. جمعیت مورد مطالعه حاصل از تلاقی دو سویه سفید و وحشی بلدرچین ژاپنی و صفات مورد بررسی شامل وزن لاشه گرم و سرد، وزن ...
مرجان احمدی, علی اسمعیلی زاده کشکوئیه, احسان نصیری فر   +2 more
doaj   +1 more source

A mixed model QTL analysis for sugarcane multiple-harvest-location trial data [PDF]

, 2011
Sugarcane-breeding programs take at least 12 years to develop new commercial cultivars. Molecular markers offer a possibility to study the genetic architecture of quantitative traits in sugarcane, and they may be used in marker-assisted selection to ...
Pinto, L. R., Oliveira, K. M., Margarido, G. R. A., Pinto L.R., Mollinari M., M. Malosetti, Eeuwijk, F.A., van, van Eeuwijk, F.A., Oliveira K.M., Pastina, M. M., R. Gazaffi, Pastina M.M., van Eeuwijk F.A., Mollinari, M., Malosetti M., Garcia A.A.F., Gazaffi R., A. A. F. Garcia, K. M. Oliveira, Souza, A. P., M. Mollinari, G. R. A. Margarido, Gazaffi, R., Souza A.P., Pastina, M.M., F. A. van Eeuwijk, Oliveira, K.M., L. R. Pinto, Malosetti, M., Margarido, G.R.A., Pinto, L.R., Garcia, A.A.F., Margarido G.R.A., Garcia, A. A. F., Souza, A.P., van Eeuwijk, F. A., M. M. Pastina, A. P. Souza   +37 more
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Genetic control of root architectural traits in KDML105 chromosome segment substitution lines under well-watered and drought stress conditions

Plant Production Science, 2021
Drought is a major constraint in rainfed rice production and root architectural traits are important breeding targets for improving productivity under drought stress.
Mathurada Ruangsiri, Phanchita Vejchasarn, Patompong Saengwilai, Jonathan Lynch, Malcolm J. Bennett, Kathleen M. Brown, Cattleya Chutteang, Ratri Boonruangrod, Jeremy Shearman, Theerayut Toojinda, Jonaliza L. Siangliw   +10 more
doaj   +1 more source

Serious limitations of the QTL/Microarray approach for QTL gene discovery [PDF]

BMC Biology, 2010
Abstract Background It has been proposed that the use of gene expression microarrays in nonrecombinant parental or congenic strains can accelerate the process of isolating individual genes underlying quantitative trait loci (QTL). However, the effectiveness of this approach has not been assessed.
Verdugo, Ricardo A, Farber, Charles R, Warden, Craig H, Medrano, Juan F   +3 more
openaire   +5 more sources

Identification of new TRAP markers linked to chlorophyll content, leaf senescence, and cell membrane stability in water-stressed wheat

Biologia Plantarum, 2014
In order to identify target region amplification polymorphism (TRAP) markers linked to three physiological traits in wheat (Triticum aestivum L.), the segregating F4 population from the cross between drought-sensitive (Yecora Rojo) and drought-tolerant ...
M. S. Saleh, A. A. Al-Doss, A. A. Elshafei, K. A. Moustafa, F. H. Al-Qurainy, M. N. Barakat   +5 more
doaj   +1 more source

The quantitative genetic basis of sex ratio variation in Nasonia vitripennis : a QTL study [PDF]

, 2010
Our understanding of how natural selection should shape sex allocation is perhaps more developed than for any other trait. However, this understanding is not matched by our knowledge of the genetic basis of sex allocation.
Shuker, DM, West, SA, West, S. A., Knott, SA, Pannebakker, B.A., West, S.A., R. WATT, Watt, R, D. M. SHUKER, Shuker, D. M., S. A. KNOTT, Knott, S. A., Watt, R., Shuker, D.M., B. A. PANNEBAKKER, Pannebakker, B. A., Pannebakker, BA, Knott, S.A., S. A. WEST, Shuker, David Michael, Pannebakker, Bart   +20 more
core   +2 more sources