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Vengadessan, V.

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Vengadessan
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Vengadessan, V.

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    Use of genomic estimated breeding values results in rapid genetic gains for drought tolerance in maize
    (Crop Science Society of America, 2017) Vivek, B.; Krishna, G.; Vengadessan, V.; Babu, R.; Zaidi, P.; Kha, L.Q.; Mandal, S.S.; Grudloyma, P.; Takalkar, S.; Krothapalli, K.; Singh, I.S.; Ocampo, E.T.M.; Fan, X.M.; Burgueño, J.; Azrai, M.; Singh, R.P.; Crossa, J.
    More than 80% of the 19 million ha of maize (Zea mays L.) in tropical Asia is rainfed and prone to drought. The breeding methods for improving drought tolerance (DT), including genomic selection (GS), are geared to increase the frequency of favorable alleles. Two biparental populations (CIMMYT Asia Population 1 [CAP1] and CAP2) were generated by crossing elite Asian-adapted yellow inbreds (CML470 and VL1012767) with an African white drought-tolerant line, CML444. Marker effects of polymorphic single-nucleotide polymorphisms (SNPs) were determined from testcross (TC) performance of F2:3 families under drought and optimal conditions. Cycle 1 (C1) was formed by recombining the top 10% of the F2:3 families based on TC data. Subsequently, (i) C2[PerSe_PS] was derived by recombining those C1 plants that exhibited superior per se phenotypes (phenotype-only selection), and (ii) C2[TC-GS] was derived by recombining a second set of C1 plants with high genomic estimated breeding values (GEBVs) derived from TC phenotypes of F2:3 families (marker-only selection). All the generations and their top crosses to testers were evaluated under drought and optimal conditions. Per se grain yields (GYs) of C2[PerSe_PS] and that of C2[TC-GS] were 23 to 39 and 31 to 53% better, respectively, than that of the corresponding F2 population. The C2[TC-GS] populations showed superiority of 10 to 20% over C2[PerSe-PS] of respective populations. Top crosses of C2[TC-GS] showed 4 to 43% superiority of GY over that of C2[PerSe_PS] of respective populations. Thus, GEBV-enabled selection of superior phenotypes (without the target stress) resulted in rapid genetic gains for DT.
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    Addressing climate change effects and meeting maize demand for Asia
    (GMRI, 2011) Zaidi, P.; Babu, R.; Cairns, J.E.; Jeffers, D.P.; Kha, L.Q.; Krishna, G.; Krishna, V.; Mcdonald, A.; Ortiz-Ferrara, G.; Palacios-Rojas, N.; Pixley, K.V.; Prasanna, B.M.; Rashid, Z.; Tadele Tefera; Tiwari, T.P.; Vinayan, M.T.; Vengadessan, V.; Fan, X.M.; Yunbi Xu; Weidong, C.; Zhang, S.; Vivek, B.
    This includes the extended summaries of the scientific presentations made during the 11th Asian Maize Conference held in Nanning, China, during 7-11 November 2011. The Conference is co-organized by the International Maize and Wheat Improvement Center (CIMMYT), and the Guangxi Maize Research Institute (GMRI), China. The theme of the workshop is "Addressing Climate Change Effects and Meeting Maize Demand for Asia". The 11th AMC brings together over 300 maize scientists, researchers and students from public and private sectors, including participants from several Asian countries, including Bangladesh, Bhutan, China, Colombia, India, Indonesia, Iran, Nepal, Philippines, Thailand, Turkey, Vietnam, besides Italy, Kenya, New Zealand, Mexico, Germany, Myanmar and the USA. The Conference features over 225 presentations, including keynote lectures, invited oral presentations, and poster presentations, besides scientific deliberations and discussions on maize in Asia. The extended summaries includes reviews and research papers on a diverse range of topics, including maize trends, challenges and opportunities in Asia, abiotic and biotic stresses affecting maize production, novel tools for maize improvement, conservation agriculture, nutritional enrichment of maize, participatory plant breeding, community-based seed production, public-private partnerships, maize value chains, policies and socio-economics relevant to Asia.
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    Construction of genetic linkage map and QTL analysis of sink-size traits in pearl millet (Pennisetum glaucum)
    (Hindawi Publishing Corporation, 2013) Vengadessan, V.; Rai, K.N.; Kannan Bapu, J.R.; Hash, C.T.; Bhattacharjee, R.; Senthilvel, S.; Vinayan, M.T.; Nepolean, T.
    A linkage map, primarily based on SSCP-SNP markers, was constructed using 188 F2:3 mapping population progenies produced from a cross between two pearl millet inbred lines having diverse parentage. The skeleton linkage map covered 1019 cM and it comprised of 44 markers distributed across the seven linkage groups. Average adjacent-marker intervals ranged from on LG1 to on LG6, with an overall mean of . Using the F2 linkage map and phenotypic data from the F2 and F2:3 generations of the mapping population, a total of 18 putative QTLs were detected for the three sink-size components. Eight QTLs explained 42.7% of observed phenotypic variation for panicle length using the F2:3 data set. For panicle diameter, 5 QTLs explained 45.8% of observed phenotypic variation. Similarly for grain size, 5 QTLs explained 29.6% of phenotypic variation. Genomic regions associated with panicle length, panicle diameter, and grain size were comapped on LG6 between Xpsms88 and Xpsms2270, indicating the existence of a gene or gene cluster. The QTLs for panicle length on LG2 and LG6 ( in both F2 and F2:3 data sets), for panicle diameter on LG2 and LG3 ( in the F2:3 data set), and for grain size on LG3 and LG6 ( in both F2 and F2:3 data sets) were identified as promising candidates for validation prior to possible application in marker-assisted breeding.
    Publication