221 related articles for article (PubMed ID: 35841418)
1. Further insight into decreases in seed glucosinolate content based on QTL mapping and RNA-seq in Brassica napus L.
Chao H; Li H; Yan S; Zhao W; Chen K; Wang H; Raboanatahiry N; Huang J; Li M
Theor Appl Genet; 2022 Sep; 135(9):2969-2991. PubMed ID: 35841418
[TBL] [Abstract][Full Text] [Related]
2. Fine mapping and candidate gene analysis of a seed glucosinolate content QTL, qGSL-C2, in rapeseed (Brassica napus L.).
Liu Y; Zhou X; Yan M; Wang P; Wang H; Xin Q; Yang L; Hong D; Yang G
Theor Appl Genet; 2020 Feb; 133(2):479-490. PubMed ID: 31832742
[TBL] [Abstract][Full Text] [Related]
3. QTL Mapping of Seed Glucosinolate Content Responsible for Environment in
He Y; Fu Y; Hu D; Wei D; Qian W
Front Plant Sci; 2018; 9():891. PubMed ID: 29997644
[TBL] [Abstract][Full Text] [Related]
4. Genome- and transcriptome-wide association studies reveal the genetic basis and the breeding history of seed glucosinolate content in Brassica napus.
Tan Z; Xie Z; Dai L; Zhang Y; Zhao H; Tang S; Wan L; Yao X; Guo L; Hong D
Plant Biotechnol J; 2022 Jan; 20(1):211-225. PubMed ID: 34525252
[TBL] [Abstract][Full Text] [Related]
5. Natural variation and artificial selection at the BnaC2.MYB28 locus modulate Brassica napus seed glucosinolate.
Zhou X; Zhang H; Xie Z; Liu Y; Wang P; Dai L; Zhang X; Wang Z; Wang Z; Wan L; Yang G; Hong D
Plant Physiol; 2023 Jan; 191(1):352-368. PubMed ID: 36179100
[TBL] [Abstract][Full Text] [Related]
6. A major yellow-seed QTL on chromosome A09 significantly increases the oil content and reduces the fiber content of seed in Brassica napus.
Chao H; Guo L; Zhao W; Li H; Li M
Theor Appl Genet; 2022 Apr; 135(4):1293-1305. PubMed ID: 35084514
[TBL] [Abstract][Full Text] [Related]
7. QTL analysis and candidate gene prediction for seed density per silique by QTL-seq and RNA-seq in spring Brassica napus L.
Xing X; Liu H; Ye J; Yao Y; Li K; Li Y; Du D
PLoS One; 2023; 18(3):e0281875. PubMed ID: 36877715
[TBL] [Abstract][Full Text] [Related]
8. Stable and novel QTL identification and new insights into the genetic networks affecting seed fiber traits in Brassica napus.
Miao L; Chao H; Chen L; Wang H; Zhao W; Li B; Zhang L; Li H; Wang B; Li M
Theor Appl Genet; 2019 Jun; 132(6):1761-1775. PubMed ID: 30830267
[TBL] [Abstract][Full Text] [Related]
9. Identification of QTLs associated with oil content in a high-oil Brassica napus cultivar and construction of a high-density consensus map for QTLs comparison in B. napus.
Wang X; Wang H; Long Y; Li D; Yin Y; Tian J; Chen L; Liu L; Zhao W; Zhao Y; Yu L; Li M
PLoS One; 2013; 8(12):e80569. PubMed ID: 24312482
[TBL] [Abstract][Full Text] [Related]
10. An integrated analysis of QTL mapping and RNA sequencing provides further insights and promising candidates for pod number variation in rapeseed (Brassica napus L.).
Ye J; Yang Y; Chen B; Shi J; Luo M; Zhan J; Wang X; Liu G; Wang H
BMC Genomics; 2017 Jan; 18(1):71. PubMed ID: 28077071
[TBL] [Abstract][Full Text] [Related]
11. Fine mapping of loci involved with glucosinolate biosynthesis in oilseed mustard (Brassica juncea) using genomic information from allied species.
Bisht NC; Gupta V; Ramchiary N; Sodhi YS; Mukhopadhyay A; Arumugam N; Pental D; Pradhan AK
Theor Appl Genet; 2009 Feb; 118(3):413-21. PubMed ID: 18979082
[TBL] [Abstract][Full Text] [Related]
12. Genetic dissection of the mechanism of flowering time based on an environmentally stable and specific QTL in Brassica napus.
Li B; Zhao W; Li D; Chao H; Zhao X; Ta N; Li Y; Guan Z; Guo L; Zhang L; Li S; Wang H; Li M
Plant Sci; 2018 Dec; 277():296-310. PubMed ID: 30466595
[TBL] [Abstract][Full Text] [Related]
13. Genome-wide identification of loci affecting seed glucosinolate contents in Brassica napus L.
Wei D; Cui Y; Mei J; Qian L; Lu K; Wang ZM; Li J; Tang Q; Qian W
J Integr Plant Biol; 2019 May; 61(5):611-623. PubMed ID: 30183130
[TBL] [Abstract][Full Text] [Related]
14. Genetic analysis and QTL mapping for silique density in rapeseed (Brassica napus L.).
Ma X; Wang J; Gu Y; Fang P; Nie W; Luo R; Liu J; Qian W; Mei J
Theor Appl Genet; 2023 May; 136(6):128. PubMed ID: 37191718
[TBL] [Abstract][Full Text] [Related]
15. Genetic analysis of glucosinolate variability in broccoli florets using genome-anchored single nucleotide polymorphisms.
Brown AF; Yousef GG; Reid RW; Chebrolu KK; Thomas A; Krueger C; Jeffery E; Jackson E; Juvik JA
Theor Appl Genet; 2015 Jul; 128(7):1431-47. PubMed ID: 25930056
[TBL] [Abstract][Full Text] [Related]
16. Quantitative trait loci analysis and genome-wide comparison for silique related traits in Brassica napus.
Wang X; Chen L; Wang A; Wang H; Tian J; Zhao X; Chao H; Zhao Y; Zhao W; Xiang J; Gan J; Li M
BMC Plant Biol; 2016 Mar; 16():71. PubMed ID: 27000872
[TBL] [Abstract][Full Text] [Related]
17. Dissection of genetic architecture for glucosinolate accumulations in leaves and seeds of Brassica napus by genome-wide association study.
Liu S; Huang H; Yi X; Zhang Y; Yang Q; Zhang C; Fan C; Zhou Y
Plant Biotechnol J; 2020 Jun; 18(6):1472-1484. PubMed ID: 31820843
[TBL] [Abstract][Full Text] [Related]
18. QTL mapping based on the embryo and maternal genetic systems for non-essential amino acids in rapeseed (Brassica napus L.) meal.
Wen J; Xu JF; Long Y; Wu JG; Xu HM; Meng JL; Shi CH
J Sci Food Agric; 2016 Jan; 96(2):465-73. PubMed ID: 25645377
[TBL] [Abstract][Full Text] [Related]
19. Combined QTL mapping, physiological and transcriptomic analyses to identify candidate genes involved in Brassica napus seed aging.
Wang T; Hou L; Jian H; Di F; Li J; Liu L
Mol Genet Genomics; 2018 Dec; 293(6):1421-1435. PubMed ID: 29974306
[TBL] [Abstract][Full Text] [Related]
20. Mapping-by-Sequencing Reveals Genomic Regions Associated with Seed Quality Parameters in
Schilbert HM; Pucker B; Ries D; Viehöver P; Micic Z; Dreyer F; Beckmann K; Wittkop B; Weisshaar B; Holtgräwe D
Genes (Basel); 2022 Jun; 13(7):. PubMed ID: 35885914
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]