Registration of ‘Lenetah’ Spring Barley

Obert, D. E.; Evans, C. P.; Wesenberg, D. M.; Windes, J. M.; Erickson, C. A.; Jackson, Eric W.; Chen, X.; Whitmore, J. C.

doi:10.3198/jpr2008.01.0021crc

Cited by 11 publications

(5 citation statements)

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“…Over the last 10 years, conventional breeding at distinguished worldwide research centers has made significant progress in developing biotic and abiotic stress-tolerant lines/cultivars of some important food crops such as chickpea [159], soybean [160], wheat [161][162][163], barley [164,165], rice [89], and common bean [166] using different protocols and designs. The drought breeding program at IRRI has led to the development of several high-yielding, drought-tolerant lines with a release of varieties across South and Southeast Asia and Africa since 2009 (Table 5).…”

Section: Conventional Breedingmentioning

confidence: 99%

Bridging the Rice Yield Gaps under Drought: QTLs, Genes, and their Use in Breeding Programs

Sandhu

Kumar

2017

Agronomy

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Rice is the staple food for more than half of the world's population. Although rice production has doubled in the last 30 years as a result of the development of high-yield, widely adaptable, resource-responsive, semi-dwarf varieties, the threat of a food crisis remains as severe as it was 60 years ago due to the ever-increasing population, water scarcity, labor scarcity, shifting climatic conditions, pest/diseases, loss of productive land to housing, industries, rising sea levels, increasing incidences of drought, flood, urbanization, soil erosion, reduction in soil nutrient status, and environmental issues associated with high-input agriculture. Among these, drought is predicted to be the most severe stress that reduces rice yield. Systematic research on drought over the last 10 years has been conducted across institutes on physiology, breeding, molecular genetics, biotechnology, and cellular and molecular biology. This has provided a better understanding of plant drought mechanisms and has helped scientists to devise better strategies to reduce rice yield losses under drought stress. These include the identification of quantitative trait loci (QTLs) for grain yield under drought as well as many agronomically important traits related to drought tolerance, marker-assisted pyramiding of genetic regions that increase yield under drought, development of efficient techniques for genetic transformation, complete sequencing and annotation of rice genomes, and synteny studies of rice and other cereal genomes. Conventional and marker-assisted breeding rice lines containing useful introgressed genes or loci have been field tested and released as varieties. Still, there is a long way to go towards developing drought-tolerant rice varieties by exploiting existing genetic diversity, identifying superior alleles for drought tolerance, understanding interactions among alleles for drought tolerance and their interaction with genetic backgrounds, and pyramiding the best combination of alleles.

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Section: Conventional Breedingmentioning

confidence: 99%

Bridging the Rice Yield Gaps under Drought: QTLs, Genes, and their Use in Breeding Programs

Sandhu

Kumar

2017

Agronomy

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“…Rice breeding methodology followed in the past as well as the present ranges from conventional breeding (Singh et al 1998 ; Xinglai et al 2006 ; Baenziger et al 2008 ; Obert et al 2008 ; Brick et al 2008 ; Kumar et al 2014 ), hybrid breeding (Shull 1948 ; Reif et al 2005 ), marker-assisted breeding (MAB; Price 2006 ; McNally et al 2009 ; Breseghello and Sorrells 2006 ; Kumar et al 2014 ), and transgenic breeding (Bhatnagar-Mathur et al 2008 ; Yang et al 2010 ) to genome-wide association studies and genomic selection (Brachi et al 2012 ; Huang et al 2010 ; Begum et al 2015 ; Biscarini et al 2016 ). Grain yield as well as resistance against existing as well as emerging biotic and abiotic stresses is not a straightforward result of understanding the physiological, biochemical, and molecular mechanisms of genetic loci.…”

Section: Introductionmentioning

confidence: 99%

Marker-assisted selection strategy to pyramid two or more QTLs for quantitative trait-grain yield under drought

Kumar

Sandhu

Dixit

et al. 2018

Rice

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BackgroundMarker-assisted breeding will move forward from introgressing single/multiple genes governing a single trait to multiple genes governing multiple traits to combat emerging biotic and abiotic stresses related to climate change and to enhance rice productivity. MAS will need to address concerns about the population size needed to introgress together more than two genes/QTLs. In the present study, grain yield and genotypic data from different generations (F3 to F8) for five marker-assisted breeding programs were analyzed to understand the effectiveness of synergistic effect of phenotyping and genotyping in early generations on selection of better progenies.ResultsBased on class analysis of the QTL combinations, the identified superior QTL classes in F3/BC1F3/BC2F3 generations with positive QTL x QTL and QTL x background interactions that were captured through phenotyping maintained its superiority in yield under non-stress (NS) and reproductive-stage drought stress (RS) across advanced generations in all five studies. The marker-assisted selection breeding strategy combining both genotyping and phenotyping in early generation significantly reduced the number of genotypes to be carried forward. The strategy presented in this study providing genotyping and phenotyping cost savings of 25–68% compared with the traditional marker-assisted selection approach. The QTL classes, Sub1 + qDTY1.1 + qDTY2.1 + qDTY3.1 and Sub1 + qDTY2.1 + qDTY3.1 in Swarna-Sub1, Sub1 + qDTY1.1 + qDTY1.2, Sub1 + qDTY1.1 + qDTY2.2 and Sub1 + qDTY2.2 + qDTY12.1 in IR64-Sub1, qDTY2.2 + qDTY4.1 in Samba Mahsuri, Sub1 + qDTY3.1 + qDTY6.1 + qDTY6.2 and Sub1 + qDTY6.1 + qDTY6.2 in TDK1-Sub1 and qDTY12.1 + qDTY3.1 and qDTY2.2 + qDTY3.1 in MR219 had shown better and consistent performance under NS and RS across generations over other QTL classes.Conclusion“Deployment of this procedure will save time and resources and will allow breeders to focus and advance only germplasm with high probability of improved performance. The identification of superior QTL classes and capture of positive QTL x QTL and QTL x background interactions in early generation and their consistent performance in subsequent generations across five backgrounds supports the efficacy of a combined MAS breeding strategy”.Electronic supplementary materialThe online version of this article (10.1186/s12284-018-0227-0) contains supplementary material, which is available to authorized users.

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“…A second population of 274 doubled‐haploid lines was developed at Oregon State University from a cross between 95SR316A and Lenetah. Lenetah is a hulled, two‐rowed spring feed barley with good agronomic characteristics developed by the USDA–ARS in Aberdeen, ID (Obert et al., 2008). Lenetah is susceptible to BSR at both seedling and adult plant stages.…”

Section: Methodsmentioning

confidence: 99%

Quantitative trait loci for field resistance to barley stripe rust derived from malting line 95SR316A

et al. 2020

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Developing improved barley (Hordeum vulgare L.) germplasm with resistance to barley stripe rust (BSR) has been a goal of several breeding programs since the introduction of this disease into the Americas. The USDA-ARS two-rowed spring malting barley breeding line 95SR316A, while susceptible at the seedling stage, has field resistance to BSR. This study was conducted to identify markers useful for marker-assisted selection for resistance to BSR. This line was used as a parent in two biparental mapping populations: 95SR316A × 'Lenetah' (susceptible), and 95SR316A × 'Grannelose Zwiezelige' (GZ; seedling resistance). Progeny were observed for response to BSR infection in the field at four location-years per population. Disease severity was taken as the percentage of leaf area infected. The 95SR316A × GZ (F 5 -derived recombinant inbred line [RIL]) and 95SR316A × Lenetah (doubled haploid) populations were genotyped using Illumina's 50K barley array. Interval mapping revealed quantitative trait loci (QTL) in both populations on chromosome 2H (Qpsh.316A.2Ha) near the p-terminal, with the allele derived from 95SR316A contributing to lower disease severity. In addition, the 95SR316A × GZ population was segregating for a QTL on chromosome 2H (Qpsh.316A.2Hb) at ∼35 cM with effects on BSR observed in two location years. The 95SR316A × Lenetah population was segregating for Qpsh.316A.7H at 94.04 cM on chromosome 7H with peak loga-

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Registration of ‘Lenetah’ Spring Barley

Cited by 11 publications

References 11 publications

Bridging the Rice Yield Gaps under Drought: QTLs, Genes, and their Use in Breeding Programs

Bridging the Rice Yield Gaps under Drought: QTLs, Genes, and their Use in Breeding Programs

Marker-assisted selection strategy to pyramid two or more QTLs for quantitative trait-grain yield under drought

Quantitative trait loci for field resistance to barley stripe rust derived from malting line 95SR316A

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