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Journal articles 2015

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Studies on breeding of Yunhan strong gluten wheat varieties for drought resistance and high yield Studies on breeding of Yunhan strong gluten wheat varieties for drought resistance and high yield

Li X, Chai Y, Zhao Z, Sun L, Yao J, Bi H and Xi J (2015). Studies on breeding of Yunhan strong gluten wheat varieties for drought resistance and high yield. Chinese Agricultural Science Bulletin 31(12):29–35. Article in Chinese with abstract in English. (G7010.02.01)

Abstract: In order to breeding the high-quality, high-yield, strong gluten and drought-resistant wheat varieties which are suitable for Huanghuai dry land of our country, the research focused on the high yield and high quality breeding goal of strong gluten and high quality foreign germplasm usage. The author used strategies and methods like rational parent combination, adjusting the flowering for inter-breed, assistant selections with high molecular weight glutenin subunit protein molecular marker detections and measuring the quantity and quality of gluten, ecological-adaptation-oriented feature selection identification and ecological selection in multi-points for year. Alternative identification and selections in rain fed and irrigated land, strengthened systematic observation and comprehensive evaluation for better lines, and selections from better lines were conducted. The application of the systematic methods had solved the technical problems of bad adaptability to drought, heat, frost resistance, and maturity of foreign germplasms and hybrids with spring and winter varieties. The research bred a series of strong gluten wheat varieties which were represented by ‘Yunhan20410’,‘Yunhan 618’, achieved the innovation improvement which changed the strong gluten to the strong and stable gluten. They raised 2%-10% production than‘Jinmai 47’and had more drought-resistance and more heat-tolerance. We obtained the combination of high yield and drought resistance with the strong gluten traits.

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Development and GBS-genotyping of Introgression Lines (ILs) using two wild species of rice, O. meridionalis and O. rufipogon, in a common recurrent parent, O. sativa cv. Curinga Development and GBS-genotyping of Introgression Lines (ILs) using two wild species of rice, O. meridionalis and O. rufipogon, in a common recurrent parent, O. sativa cv. Curinga

Arbelaez JD, Moreno LT, Singh N, Tung C-W, Maron LG, Ospina Y, Martinez CP, Grenier C, Lorieux M and McCouch SR (2015). Development and GBS-genotyping of Introgression Lines (ILs) using two wild species of rice, O. meridionalis and O. rufipogon, in a common recurrent parent, O. sativa cv. Curinga. Plant Breeding In press. (G3005.10)

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Quantitative trait loci mapping for traits related to the progression of wheat flag leaf senescence Quantitative trait loci mapping for traits related to the progression of wheat flag leaf senescence

Wang S, Liang Z, Sun D, Dong F, Chen W, Wang H and Jing R (2015). Quantitative trait loci mapping for traits related to the progression of wheat flag leaf senescence. Journal of Agricultural Science Published online as FirstView Article: 24 September 2014 (DOI: 10.1017/S002185961400094X). Not open access; view abstract. (G7010.02.01)

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Genetic variation in lowland sorghum (Sorghum bicolor (L.) Moench) landraces assessed by simple sequence repeats Genetic variation in lowland sorghum (Sorghum bicolor (L.) Moench) landraces assessed by simple sequence repeats

Amelework B, Shimelis H, Tongoona P, Laing M and Mengistu F (2015). Genetic variation in lowland sorghum (Sorghum bicolor (L.) Moench) landraces assessed by simple sequence repeats. Plant Genetic Resources Published online: 26 June 2014 (DOI: 10.1017/S1479262114000744). Not open access; view abstract.

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Genetic purity and patterns of relationships among tropical highland adapted quality protein and normal maize inbred lines using microsatellite markers Genetic purity and patterns of relationships among tropical highland adapted quality protein and normal maize inbred lines using microsatellite markers

Abakemal D, Shimelis H, Derera J and Semagn K (2015). Genetic purity and patterns of relationships among tropical highland adapted quality protein and normal maize inbred lines using microsatellite markers. Euphytica Published online: 23 December 2014 (DOI 10.1007/s10681-014-1332-9). Not open access; view abstract.

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Environmental response and genomic regions correlated with rice root growth and yield under drought in the OryzaSNP panel across multiple study systems Environmental response and genomic regions correlated with rice root growth and yield under drought in the OryzaSNP panel across multiple study systems

Wade LJ, Bartolome V, Mauleon R, Vasant VD, Prabakar SM, Chelliah M, Kameoka E, Nagendra K, Reddy KRK, Varma CMK, Patil KG, Shrestha R, Al-Shugeairy Z, Al-Ogaidi F, Munasinghe M, Gowda V, Semon M, Suralta RR, Shenoy V, Vadez V, Serraj R, Shashidhar HE, Yamauchi AK, Ranganathan CB, Price A, McNally KL and Henry A (2015). Environmental response and genomic regions correlated with rice root growth and yield under drought in the OryzaSNP panel across multiple study systems. PLoS ONE (DOI: 10.1371/journal.pone.0124127). In press. (G3008.06)

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QTL mapping for plant height and yield components in common wheat under water limited and full irrigation environments QTL mapping for plant height and yield components in common wheat under water limited and full irrigation environments

Li X, Xia X, Xiao Y, He Z, Wang D, Trethowan R, Wang H, Chen X (2015). QTL mapping for plant height and yield components in common wheat under water limited and full irrigation environments. Crop & Pasture Science Accepted for publication. View abstract. (G7010.02.01)

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Genotypic variation in grain yield and flowering pattern in terminal and intermittent drought screening methods in rainfed lowland rice Genotypic variation in grain yield and flowering pattern in terminal and intermittent drought screening methods in rainfed lowland rice

Monkham T, Jongdee B, Pantuwan G, Sanitchon J, Mitchell JH and Fukai S (2015). Genotypic variation in grain yield and flowering pattern in terminal and intermittent drought screening methods in rainfed lowland rice. Field Crops Research 175:26–36 (DOI: 10.1016/j.fcr.2015.02.003). Not open access; view abstract. (G3008.06)

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Physiological mechanisms contributing to the QTL-combination effects on improved performance of IR64 rice NILs under drought Physiological mechanisms contributing to the QTL-combination effects on improved performance of IR64 rice NILs under drought

Henry A, Swamy BPM, Dixit S, Torres RD, Batoto TC, Manalili M, Anantha MS, Mandal NP and Kumar A (2015). Physiological mechanisms contributing to the QTL-combination effects on improved performance of IR64 rice NILs under drought. Journal of Experimental Botany 66(7):1787–1799 (DOI: 10.1093/jxb/eru506). (G3008.06)

Abstract: Characterizing the physiological mechanisms behind major-effect drought-yield quantitative trait loci (QTLs) can provide an understanding of the function of the QTLs—as well as plant responses to drought in general. In this study, we characterized rice (Oryza sativa L.) genotypes with QTLs derived from drought-tolerant traditional variety AdaySel that were introgressed into drought-susceptible high-yielding variety IR64, one of the most popular megavarieties in South Asian rainfed lowland systems. Of the different combinations of the four QTLs evaluated, genotypes with two QTLs (qDTY2.2 + qDTY4.1) showed the greatest degree of improvement under drought compared with IR64 in terms of yield, canopy temperature, and normalized difference vegetation index (NDVI). Furthermore, qDTY2.2 and qDTY4.1 showed a potential for complementarity in that they were each most effective under different severities of drought stress. Multiple drought-response mechanisms were observed to be conferred in the genotypes with the two-QTL combination: higher root hydraulic conductivity and in some cases greater root growth at depth. As evidenced by multiple leaf water status and plant growth indicators, these traits affected transpiration but not transpiration efficiency or harvest index. The results from this study highlight the complex interactions among major-effect drought-yield QTLs and the drought-response traits they confer, and the need to evaluate the optimal combinations of QTLs that complement each other when present in a common genetic background.

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Transcriptome profiling of wild Arachis from water-limited environments uncovers drought tolerance candidate genes Transcriptome profiling of wild Arachis from water-limited environments uncovers drought tolerance candidate genes

Brasileiro ACM, Morgante CV, Araujo ACG, Leal-Bertioli SCM, Silva AK, Martins ACQ, Vinson CC, Santos CMR, Bonfim O, Togawa RC, Saraiva MAP, Bertioli DJ and Guimaraes PM (2015). Transcriptome profiling of wild Arachis from water-limited environments uncovers drought tolerance candidate genes. Plant Molecular Biology Reporter Published online: 11 April 2015 (DOI 10.1007/s11105-015-0882-x). (G6010.01)

Abstract: Peanut (Arachis hypogaea L.) is an important legume cultivated mostly in drought-prone areas where its productivity can be limited by water scarcity. The development of more drought-tolerant varieties is, therefore, a priority for peanut breeding programs worldwide. In contrast to cultivated peanut, wild relatives have a broader genetic diversity and constitute a rich source of resistance/tolerance alleles to biotic and abiotic stresses. The present study takes advantage of this diversity to identify drought-responsive genes by analyzing the expression profile of two wild species, Arachis duranensis and Arachis magna (AA and BB genomes, respectively), in response to progressive water deficit in soil. Data analysis from leaves and roots of A. duranensis (454 sequencing) and A. magna (suppression subtractive hybridization (SSH)) stressed and control complementary DNA (cDNA) libraries revealed several differentially expressed genes in silico, and 44 of them were selected for further validation by quantitative RT-PCR (qRT-PCR). This allowed the identification of drought-responsive candidate genes, such as Expansin, Nitrilase, NAC, and bZIP transcription factors, displaying significant levels of differential expression during stress imposition in both species. This is the first report on identification of differentially expressed genes under drought stress and recovery in wild Arachis species. The generated transcriptome data, besides being a valuable resource for gene discovery, will allow the characterization of new alleles and development of molecular markers associated with drought responses in peanut. These together constitute important tools for the peanut breeding program and also contribute to a better comprehension of gene modulation in response to water deficit and rehydration.

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