scholarly journals Bayesian analysis of interacting quantitative trait loci (QTL) for yield traits in tomato

2011 ◽  
Vol 10 (63) ◽  
pp. 13719-13723 ◽  
Author(s):  
Liu Yang ◽  
Zhou Xiaojing ◽  
Zhang Jianhua ◽  
Li Huaizhi ◽  
Zhuang Tianming ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Bayesian Analysis ◽  
Quantitative Trait ◽  
Yield Traits ◽  
Trait Loci

Quantitative trait loci mapping for biomass yield traits in a Lolium inbred line derived F2 population

Euphytica ◽  
2009 ◽  
Vol 170 (1-2) ◽  
pp. 99-107 ◽  
Author(s):  
U. C. M. Anhalt ◽  
J. S. Heslop-Harrison (Pat) ◽  
H. P. Piepho ◽  
S. Byrne ◽  
S. Barth
Keyword(s):  
Quantitative Trait Loci ◽  
Inbred Line ◽  
Quantitative Trait ◽  
Biomass Yield ◽  
Yield Traits ◽  
Quantitative Trait Loci Mapping ◽  
F2 Population ◽  
Trait Loci

Quantitative Trait Loci for Yield Traits Located Between Hd3a and Hd1 on Short Arm of Chromosome 6 in Rice

Rice Science ◽  
2011 ◽  
Vol 18 (4) ◽  
pp. 257-264 ◽  
Author(s):  
Ye-yang FAN ◽  
Chen CHEN ◽  
Ji-rong WU ◽  
Shi-hua CHENG ◽  
Jie-yun ZHUANG
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Chromosome 6 ◽  
Yield Traits ◽  
Trait Loci

scholarly journals Identification and Verification of Quantitative Trait Loci Affecting Milling Yield of Rice

Agronomy ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 75 ◽  
Author(s):  
Hui Zhang ◽  
Yu-Jun Zhu ◽  
An-Dong Zhu ◽  
Ye-Yang Fan ◽  
Ting-Xu Huang ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Brown Rice ◽  
Yield Traits ◽  
Multiple Traits ◽  
Milled Rice ◽  
Milling Quality ◽  
Head Rice ◽  
Trait Loci ◽  
Milling Yield

Rice is generally consumed in the form of milled rice. The yield of total milled rice and head mill rice is affected by both the paddy rice yield and milling efficiency. In this study, three recombinant inbred line (RIL) populations and one F4:5 population derived from a residual heterozygous (RH) plant were used to determine quantitative trait loci (QTLs) affecting milling yield of rice. Seven traits were analyzed, including recovery of brown rice (BR), milled rice (MR) and head rice (HR); grain yield (GY); and the yield of brown rice (BRY), milled rice (MRY) and head rice (HRY). A total of 77 QTLs distributed on 35 regions was detected in the three RIL populations. Four regions, where qBR5, qBR7, qBR10, and qBR12 were located, were validated in the RH-derived F4:5 population. In the three RIL populations, all the 11 QTLs for GY detected were accompanied with QTLs for two or all the three milling yield traits. Not only the allele direction for milling yield traits was unchanged, but also the effects were consistent with GY. In the RH-derived F4:5 population, regions controlling GY also affected all three milling yield traits. Results indicated that variations of BRY and MRY were mainly ascribed to GY, but HRY was determined by both GY and HR. Results also showed that the regions covering GW5–Chalk5 and Wx loci had major effects on milling quality and milling yield of rice. These two regions, which have been known to affect multiple traits determining grain quality and yield of rice, provide good candidates for milled yield improvement.

scholarly journals Genetic Mapping Identifies Consistent Quantitative Trait Loci for Yield Traits of Rice under Greenhouse Drought Conditions

Genes ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 62
Author(s):  
Niranjan Baisakh ◽  
Jonalyn Yabes ◽  
Andres Gutierrez ◽  
Venkata Mangu ◽  
Peiyong Ma ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Grain Yield ◽  
Drought Resistance ◽  
Quantitative Trait ◽  
Chromosome 1 ◽  
Phenotypic Variance ◽  
Yield Traits ◽  
Rice Varieties ◽  
Drought Tolerant ◽  
Trait Loci

Improving drought resistance in crops is imperative under the prevailing erratic rainfall patterns. Drought affects the growth and yield of most modern rice varieties. Recent breeding efforts aim to incorporate drought resistance traits in rice varieties that can be suitable under alternative irrigation schemes, such as in a (semi)aerobic system, as row (furrow-irrigated) rice. The identification of quantitative trait loci (QTLs) controlling grain yield, the most important trait with high selection efficiency, can lead to the identification of markers to facilitate marker-assisted breeding of drought-resistant rice. Here, we report grain yield QTLs under greenhouse drought using an F2:3 population derived from Cocodrie (drought sensitive) × Nagina 22 (N22) (drought tolerant). Eight QTLs were identified for yield traits under drought. Grain yield QTL under drought on chromosome 1 (phenotypic variance explained (PVE) = 11.15%) co-localized with the only QTL for panicle number (PVE = 37.7%). The drought-tolerant parent N22 contributed the favorable alleles for all QTLs except qGN3.2 and qGN5.1 for grain number per panicle. Stress-responsive transcription factors, such as ethylene response factor, WD40 domain protein, zinc finger protein, and genes involved in lipid/sugar metabolism were linked to the QTLs, suggesting their possible role in drought tolerance mechanism of N22 in the background of Cocodrie, contributing to higher yield under drought.

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