4篇
您的检索式：作者名="B. P. M. SWAMY"
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| 1 | QTL Analysis for Grain Iron and Zinc Concentrations in Two O. nivara Derived Backcross Populations显示文摘Identification of quantitative trait loci(QTLs) for grain mineral elements can assist in faster and more precise development of micronutrient dense rice varieties through marker-assisted breeding. In the present study, QTLs were mapped for Fe and Zn concentrations in two BC_2F_3 mapping populations derived from the crosses of O. sativa cv Swarna with two different accessions of O. nivara. In all, 10 and 8 QTLs were identified for grain Fe and Zn concentrations in population 1, and 7 and 5 QTLs were identified in population 2, respectively. Eighty percent of the QTLs detected in both populations were derived from O. nivara. Five QTLs for Fe and three QTLs for Zn explained more than 15% phenotypic variance either in interval or composite interval mapping. The locations of O. nivara derived QTLs such as qFe2.1,qFe3.1, qFe8.2 and qZn12.1 were consistently identified in both the populations. Epistatic interaction was observed only between RM106 and RM6 on chromosome 2 and between RM22 and RM7 on chromosome 3 for Fe concentration in population 1. Sixteen candidate genes for metal homeostasis were found to co-locate with 10 QTLs for Fe and Zn concentrations in both the populations. Most of the Fe and Zn QTLs were found to co-locate with QTLs for grain yield and grain quality traits. Some of the major effect QTLs identified can be used to improve rice grain Fe and Zn concentrations. | B. P. M. SWAMY K. KALADHAR1, K. ANURADHA Anil K. BATCHU T. LONGVAH N. SARLA | 2018 | Rice science2018，25，4： | 4 |
| 2 | Molecular Mapping of QTLs for Yield and Yield-Related Traits in Oryza sativa cv Swarna × O. nivara (IRGC81848) Backcross Population显示文摘Advanced backcross QTL analysis was used to identify QTLs for seven yield and yield-related traits in a BC2F2 population from the cross between a popular Oryza sativa cv Swarna and O. nivara IRGC81848. Transgressive segregants with more than 15% increased effect over Swarna were observed for all the traits except days to heading and days to 50% flowering. Thirty QTLs were detected for seven yield and yield-related traits using interval and composite interval mapping. Enhancing alleles at 13 (45%) of these QTLs were derived from O. nivara, and enhancing alleles at all the QTLs for stem diameter and rachis diameter were derived from O. nivara. Three stem diameter QTLs, two rachis diameter QTLs and one number of secondary branches QTL identified by both Interval and composite interval mapping contributed more than 15% of the total phenotypic variance. The QTL epistasis was significant for stem diameter and plot yield. The most significant QTLs qSD7.2, qSD8.1 and qSD9.1 for stem diameter, qRD9.1 for rachis diameter and qNSB1.1 for number of secondary branches are good targets to evaluate their use in marker-assisted selection. O. nivara is a good source of novel alleles for yield related traits and reveals major effect QTLs suitable for marker-assisted selection. | B. P. MALLIKARJUNA SWAMY K. KALADHAR M. S. RAMESHA B. C. VIRAKTAMATH N. SARLA | 2011 | Rice science2011，18，3： | 3 |
| 3 | Jackfruit and Its Many Functional Components as Related to Human Health: A Review显示文摘 | Shrikant Baslingappa Swami N. J. Thakor P. M. Haldankar S. B. Kalse | 2012 | Comprehensive Reviews in Food Science and Food Safety2012，，6： | 1 |
| 4 | Jackfruit and Its Many Functional Components as Related to Human Health: A Review显示文摘 | Shrikant Baslingappa Swami N. J. Thakor P. M. Haldankar S. B. Kalse | 2012 | Comprehensive Reviews in Food Science and Food Safety2012，，6： | 1 |
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