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| 1 | Effect of drip tape placement depth and irrigation level on yield of potato显示文摘 | Neelam Patel Rajpu T B S | 2007 | Agricultural Water Management2007，88，： | 1 |
| 2 | Overexpression of CD44: A useful independent predictor of prognosis in patients with colorectal carcinomas显示文摘 | Jyotsna M. Bhatavdekar PhD Devendra D. Patel MS Priya R. Chikhlikar MSc Trupti I. Trivedi MSc Neha M. Gosalia MSc Nandita Ghosh PhD Neelam G. Shah PhD Hemangini H. Vora PhD Tejal P. Suthar MSc | 1998 | Annals of Surgical Oncology1998，，6： | 1 |
| 3 | Molecular markers are predictors of recurrence and survival in patients with Dukes B and Dukes C colorectal adenocarcinoma显示文摘 | Jyotsna M. Bhatavdekar Ph.D. Devendra D. Patel M.S. Priya R. Chikhlikar Ph.D. Dr. Neelam G. Shah Ph.D. Hemangini H. Vora Ph.D. Nandita Ghosh Ph.D. Trupti I. Trivedi M.Sc | 2001 | Diseases of the Colon & Rectum2001，，4： | 1 |
| 4 | Effect of drip tape placement depth and irrigation level on yield of potato 显示文摘 | Patel Neelam Rajput T B S | 2007 | Agricultural Water Management2007，88，13： | 1 |
| 5 | Water and nitrate movement in drip-irrigated onion under fertigation and irrigation treatments 显示文摘 | Rajput TBS Neelam Patel | 2006 | Agricultural Water Management2006，79，3： | 1 |
| 6 | Water and nitrate movement in drip-irrigated onion under fertigation and irrigation treatments 显示文摘 | TBS RAJPUT NEELAM PATEL | 2005 | Agriculture Water Management2005，76，： | 1 |
| 7 | Enhancement of field water use efficiency in the Indo-Gangetic plain of India 显示文摘 | Rajput T B S Neelam Patel | 2005 | Irrigation and Drainage2005，54，2： | 1 |
| 8 | Water and nitrate movement in drip-irrigated onion under fertigation and irrigation treatments显示文摘 | T.B.S. Rajput Neelam Patel | 2005 | Agricultural Water Management2005，，3： | 1 |
| 9 | Effect of subsurface drip irrigation on onion yield显示文摘 | Patel Neelam Rajput T B S | 2008 | Irrig Sci2008，27，2： | 1 |
| 10 | Dynamics and modeling of soil water under subsurface drip irrigated onion 显示文摘 | Patel Neelam Rajput T B S | 2008 | Ag- ricultural Water Management2008，95，12： | 1 |
| 11 | Water and nitrate movement in dric -irrigated onion under fertigation and irrigation treatments显示文摘 | T B S Rajput Neelam Patel | 2006 | Agricultural Water Management2006，79，： | 1 |
| 12 | Dynamics and modeling of soil water under subsurface drip irrigated onion显示文摘 | Neelam Patel T.B.S. Rajput | 2008 | Agricultural Water Management2008，，12： | 1 |
| 13 | Genetic linkage mapping and QTL identification for salinity tolerance in Indian mustard(Brassica juncea L.Czern and Coss.)using SSR markers显示文摘Soil salinity is one of the major environmental constraints that limits crop yield and nearly 7%of the total area worldwide is affected by salinity.Salinity-induced oxidative stress causes membrane damage during germination and seedling growth.Indian mustard is a major oilseed crop in India and its production and productivity are severely affected by salt stress.Breeding Brassica cultivars for salinity tolerance by conventional means is very difficult and time-consuming.Therefore,understanding the molecular components associated with salt tolerance is needed to facilitate breeding for salt tolerance in Brassica.In this investigation,quantitative trait loci(QTLs)associated with salt tolerance were identified using F_(2:3)mapping population developed from a cross between CS52(salinity tolerant)and RH30(salinity sensitive).Parents and F_(2:3)were evaluated under controlled and salinity stress conditions for 14 morpho-physiological traits for two consecutive generations(F2 and F_(2:3)),explaining proportion of the phenotypic variance under control condition.Simple sequence repeat(SSR)markers were used for mapping studies.A genetic linkage map based on 42 simple sequence repeats(SSRs)markers was constructed covering 2298.5 cM(Haldane)to identify the loci associated with salt tolerance in Brassica juncea.Forty-one SSRs showing polymorphism in the parents(CS52 and RH30)were mapped on 8 linkage groups(C1–C8).One marker(nga 129)did not map to any of the linkage group and was excluded from mapping.Linkage group 5(C5;317.9 cM)was longest and linkage group 1(C1,255.0 cM)was shortest.Further,we identified 15 QTLs controlling 8 traits using F_(2:3)population.These QTLs explained 12.44–60.63%of the phenotypic variation with a LOD score range of 3.62–5.97.Out of these QTLs,QMI4.1 related to membrane injury showed 51.28%phenotypic variance with a LOD score of 3.34.QTL QBYP8.1 related to biological yield per plant showed 60.63%phenotypic variance at a LOD score of 3.62.The highest LOD score of 5.97 was recorded for QTL related to seed yield per plant(QSYP4.1).Major QTLs were QTL for biological yield per plant(QBYP8.1),QTL for siliquae per plant(QSP4.1),QTL for primary branches(QPB4.1),QTLs for seed per siliqua(QSS4.1,QSS4.2),QTL for seed yield per plant(QSYP4.1),and QTL for membrane injury(QMI8.1)which showed more than 50%phenotypic variance.These QTLs identified in our study need to be confirmed in other populations as well so that these can be used in marker-assisted selection and breeding to enhance salt tolerance in Brassica juncea. | Rekha Patel Sumit Jangra Ram Avtar Neelam R.Yadav Ram C.Yadav | 2023 | Oil Crop Science2023，8，3： | 0 |
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