865 related articles for article (PubMed ID: 28697783)
1. Validation of QTL mapping and transcriptome profiling for identification of candidate genes associated with nitrogen stress tolerance in sorghum.
Gelli M; Konda AR; Liu K; Zhang C; Clemente TE; Holding DR; Dweikat IM
BMC Plant Biol; 2017 Jul; 17(1):123. PubMed ID: 28697783
[TBL] [Abstract][Full Text] [Related]
2. Mapping QTLs and association of differentially expressed gene transcripts for multiple agronomic traits under different nitrogen levels in sorghum.
Gelli M; Mitchell SE; Liu K; Clemente TE; Weeks DP; Zhang C; Holding DR; Dweikat IM
BMC Plant Biol; 2016 Jan; 16():16. PubMed ID: 26759170
[TBL] [Abstract][Full Text] [Related]
3. Identification of differentially expressed genes between sorghum genotypes with contrasting nitrogen stress tolerance by genome-wide transcriptional profiling.
Gelli M; Duo Y; Konda AR; Zhang C; Holding D; Dweikat I
BMC Genomics; 2014 Mar; 15():179. PubMed ID: 24597475
[TBL] [Abstract][Full Text] [Related]
4. Genetic mapping of QTLs for sugar-related traits in a RIL population of Sorghum bicolor L. Moench.
Shiringani AL; Frisch M; Friedt W
Theor Appl Genet; 2010 Jul; 121(2):323-36. PubMed ID: 20229249
[TBL] [Abstract][Full Text] [Related]
5. Identification of quantitative trait loci for agronomically important traits and their association with genic-microsatellite markers in sorghum.
Srinivas G; Satish K; Madhusudhana R; Reddy RN; Mohan SM; Seetharama N
Theor Appl Genet; 2009 May; 118(8):1439-54. PubMed ID: 19274449
[TBL] [Abstract][Full Text] [Related]
6. QTL mapping for bioenergy traits in sweet sorghum recombinant inbred lines.
Souza VF; Pereira GDS; Pastina MM; Parrella RADC; Simeone MLF; Barros BA; Noda RW; da Costa E Silva L; Magalhães JV; Schaffert RE; Garcia AAF; Damasceno CMB
G3 (Bethesda); 2021 Oct; 11(11):. PubMed ID: 34519766
[TBL] [Abstract][Full Text] [Related]
7. Mapping of QTL for agronomic traits using high-density SNPs with an RIL population in maize.
Sa KJ; Choi IY; Park JY; Choi JK; Ryu SH; Lee JK
Genes Genomics; 2021 Dec; 43(12):1403-1411. PubMed ID: 34591233
[TBL] [Abstract][Full Text] [Related]
8. Mapping QTLs for grain yield components in wheat under heat stress.
Bhusal N; Sarial AK; Sharma P; Sareen S
PLoS One; 2017; 12(12):e0189594. PubMed ID: 29261718
[TBL] [Abstract][Full Text] [Related]
9. Integration of high-density genetic mapping with transcriptome analysis uncovers numerous agronomic QTL and reveals candidate genes for the control of tillering in sorghum.
Govindarajulu R; Hostetler AN; Xiao Y; Chaluvadi SR; Mauro-Herrera M; Siddoway ML; Whipple C; Bennetzen JL; Devos KM; Doust AN; Hawkins JS
G3 (Bethesda); 2021 Feb; 11(2):. PubMed ID: 33712819
[TBL] [Abstract][Full Text] [Related]
10. Identification and validation of genomic regions that affect shoot fly resistance in sorghum [Sorghum bicolor (L.) Moench].
Aruna C; Bhagwat VR; Madhusudhana R; Sharma V; Hussain T; Ghorade RB; Khandalkar HG; Audilakshmi S; Seetharama N
Theor Appl Genet; 2011 May; 122(8):1617-30. PubMed ID: 21387095
[TBL] [Abstract][Full Text] [Related]
11. Mapping quantitative trait loci for yield-related traits and predicting candidate genes for grain weight in maize.
Zhao Y; Su C
Sci Rep; 2019 Nov; 9(1):16112. PubMed ID: 31695075
[TBL] [Abstract][Full Text] [Related]
12. Genetic mapping of physiological traits associated with terminal stage drought tolerance in rice.
Barik SR; Pandit E; Mohanty SP; Nayak DK; Pradhan SK
BMC Genet; 2020 Jul; 21(1):76. PubMed ID: 32664865
[TBL] [Abstract][Full Text] [Related]
13. Identification of stable quantitative trait loci (QTLs) for fiber quality traits across multiple environments in Gossypium hirsutum recombinant inbred line population.
Jamshed M; Jia F; Gong J; Palanga KK; Shi Y; Li J; Shang H; Liu A; Chen T; Zhang Z; Cai J; Ge Q; Liu Z; Lu Q; Deng X; Tan Y; Or Rashid H; Sarfraz Z; Hassan M; Gong W; Yuan Y
BMC Genomics; 2016 Mar; 17():197. PubMed ID: 26951621
[TBL] [Abstract][Full Text] [Related]
14. Detection and validation of stay-green QTL in post-rainy sorghum involving widely adapted cultivar, M35-1 and a popular stay-green genotype B35.
Rama Reddy NR; Ragimasalawada M; Sabbavarapu MM; Nadoor S; Patil JV
BMC Genomics; 2014 Oct; 15(1):909. PubMed ID: 25326366
[TBL] [Abstract][Full Text] [Related]
15. Mapping of shoot fly tolerance loci in sorghum using SSR markers.
Apotikar DB; Venkateswarlu D; Ghorade RB; Wadaskar RM; Patil JV; Kulwal PL
J Genet; 2011 Apr; 90(1):59-66. PubMed ID: 21677382
[TBL] [Abstract][Full Text] [Related]
16. Genetic analysis of yield and agronomic traits under reproductive-stage drought stress in rice using a high-resolution linkage map.
Bhattarai U; Subudhi PK
Gene; 2018 Aug; 669():69-76. PubMed ID: 29802991
[TBL] [Abstract][Full Text] [Related]
17. Genome-Wide Detection of Major and Epistatic Effect QTLs for Seed Protein and Oil Content in Soybean Under Multiple Environments Using High-Density Bin Map.
Karikari B; Li S; Bhat JA; Cao Y; Kong J; Yang J; Gai J; Zhao T
Int J Mol Sci; 2019 Feb; 20(4):. PubMed ID: 30813455
[TBL] [Abstract][Full Text] [Related]
18. Identification of heat-tolerance QTLs and high-temperature stress-responsive genes through conventional QTL mapping, QTL-seq and RNA-seq in tomato.
Wen J; Jiang F; Weng Y; Sun M; Shi X; Zhou Y; Yu L; Wu Z
BMC Plant Biol; 2019 Sep; 19(1):398. PubMed ID: 31510927
[TBL] [Abstract][Full Text] [Related]
19. Identification of QTLs for eight agronomically important traits using an ultra-high-density map based on SNPs generated from high-throughput sequencing in sorghum under contrasting photoperiods.
Zou G; Zhai G; Feng Q; Yan S; Wang A; Zhao Q; Shao J; Zhang Z; Zou J; Han B; Tao Y
J Exp Bot; 2012 Sep; 63(15):5451-62. PubMed ID: 22859680
[TBL] [Abstract][Full Text] [Related]
20. Identification and Validation of Major QTLs, Epistatic Interactions, and Candidate Genes for Soybean Seed Shape and Weight Using Two Related RIL Populations.
Elattar MA; Karikari B; Li S; Song S; Cao Y; Aslam M; Hina A; Abou-Elwafa SF; Zhao T
Front Genet; 2021; 12():666440. PubMed ID: 34122518
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
