Gurvinder Singh Mavi
Punjab Agricultural University
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Publication
Featured researches published by Gurvinder Singh Mavi.
Euphytica | 2017
Matthew P. Reynolds; Alistair J. D. Pask; William Hoppitt; Kai Sonder; Sivakumar Sukumaran; Gemma Molero; Carolina Saint Pierre; Thomas Payne; Ravi P. Singh; Hans J. Braun; Fernanda G. González; Ignacio I. Terrile; Naresh C. D. Barma; Abdul Hakim; Zhonghu He; Zheru Fan; Dario Novoselovic; Maher Maghraby; Khaled I. M. Gad; ElHusseiny G. Galal; Adel Hagras; Mohamed M. Mohamed; Abdul Fatah A. Morad; Uttam Kumar; Gyanendra Singh; Rudra Naik; Ishwar K. Kalappanavar; Suma S. Biradar; Sakuru V. Sai Prasad; Ravish Chatrath
To accelerate genetic gains in breeding, physiological trait (PT) characterization of candidate parents can help make more strategic crosses, increasing the probability of accumulating favorable alleles compared to crossing relatively uncharacterized lines. In this study, crosses were designed to complement “source” with “sink” traits, where at least one parent was selected for favorable expression of biomass and/or radiation use efficiency—source—and the other for sink-related traits like harvest-index, kernel weight and grains per spike. Female parents were selected from among genetic resources—including landraces and products of wide-crossing (i.e. synthetic wheat)—that had been evaluated in Mexico at high yield potential or under heat stress, while elite lines were used as males. Progeny of crosses were advanced to the F4 generation within Mexico, and F4-derived F5 and F6 generations were yield tested to populate four international nurseries, targeted to high yield environments (2nd and 3rd WYCYT) for yield potential, and heat stressed environments (2nd and 4th SATYN) for climate resilience, respectively. Each nursery was grown as multi-location yield trials. Genetic gains were achieved in both temperate and hot environments, with most new PT-derived lines expressing superior yield and biomass compared to local checks at almost all international sites. Furthermore, the tendency across all four nurseries indicated either the superiority of the best new PT lines compared with the CIMMYT elite checks, or the superiority of all new PT lines as a group compared with all checks, and in some cases, both. Results support—in a realistic breeding context—the hypothesis that yield and radiation use efficiency can be increased by improving source:sink balance, and validate the feasibility of incorporating exotic germplasm into mainstream breeding efforts to accelerate genetic gains for yield potential and climate resilience.
Scientific Reports | 2018
Govindan Velu; Ravi P. Singh; Leonardo A. Crespo-Herrera; Philomin Juliana; Susanne Dreisigacker; Ravi Valluru; James Stangoulis; V.S. Sohu; Gurvinder Singh Mavi; Vinod Kumar Mishra; Arun Balasubramaniam; Ravish Chatrath; Vikas Gupta; Gyanendra Singh; A. K. Joshi
Wheat is an important staple that acts as a primary source of dietary energy, protein, and essential micronutrients such as iron (Fe) and zinc (Zn) for the world’s population. Approximately two billion people suffer from micronutrient deficiency, thus breeders have crossed high Zn progenitors such as synthetic hexaploid wheat, T. dicoccum, T. spelta, and landraces to generate wheat varieties with competitive yield and enhanced grain Zn that are being adopted by farmers in South Asia. Here we report a genome-wide association study (GWAS) using the wheat Illumina iSelect 90 K Infinitum SNP array to characterize grain Zn concentrations in 330 bread wheat lines. Grain Zn phenotype of this HarvestPlus Association Mapping (HPAM) panel was evaluated across a range of environments in India and Mexico. GWAS analysis revealed 39 marker-trait associations for grain Zn. Two larger effect QTL regions were found on chromosomes 2 and 7. Candidate genes (among them zinc finger motif of transcription-factors and metal-ion binding genes) were associated with the QTL. The linked markers and associated candidate genes identified in this study are being validated in new biparental mapping populations for marker-assisted breeding.
Euphytica | 2018
Matthew P. Reynolds; Alistair J. D. Pask; William Hoppitt; Kai Sonder; Sivakumar Sukumaran; Gemma Molero; Carolina Saint Pierre; Thomas Payne; Ravi P. Singh; Hans J. Braun; Fernanda G. González; Ignacio I. Terrile; Naresh C. D. Barma; Abdul Hakim; Zhonghu He; Zheru Fan; Dario Novoselovic; Maher Maghraby; Khaled I. M. Gad; ElHusseiny G. Galal; Adel Hagras; Mohamed M. Mohamed; Abdul Fatah A. Morad; Uttam Kumar; Gyanendra Singh; Rudra Naik; Ishwar K. Kalappanavar; Suma S. Biradar; Sakuru V. Sai Prasad; Ravish Chatrath
The original article was corrected. Author Muhammad Kundi should instead read: Muhammad Sohail.
International Journal of Agriculture, Environment and Biotechnology | 2017
Baldeep Singh; Gurvinder Singh Mavi; Akhil Malhotra; Neerja Sood; Ramandeeep Kaur Jhinjer; Binder Kaur; Indu Bhagat; Vineet Kumar; V.S. Sohu
The primary aim of plant breeding is to improve stability in yield and to obtain varieties with good quality. For this reason, a study of wheat genotypes was conducted at three different locations: Bathinda, Gurdaspur and Ludhiana during 2015-16 in Punjab (India). Grain yield and its components with quality traits were assessed in 21 wheat genotypes with 3 checks using analysis of variance and regression analysis. The combined analysis of variance for environment (E), genotype (G) and (G×E) interaction was highly significant for all studied traits, suggesting differential responses of the genotypes and the need to stability analysis. Results revealed that high yielding genotypes can also be stable. The check HD 3086 and PBW 725 and genotypes BWL 6003, BWL 6065, BWL 6066, BWL 6068 and BWL 6069 for grain yield/ plot had desired performance in term of high mean, unit regression coefficient (bi) and least deviation from regression (S2d), indicating the role of linear portion of GxE interaction and average stability in the performance of these genotype. The value of regression coefficient (bi) of genotypes BWL 6008, BWL 6011 and checks HD 3086, PBW 725 for grain Fe concentration; genotypes BWL 6006, BWL 6007, BWL 6013 and BWL 6062 for grain Zn concentration were have high mean, unit regression coefficient (bi) and least deviation from regression (S2d), indicating that these genotypes were considered specially adopted to unfavorable environments
Indian Journal of Genetics and Plant Breeding | 2017
Gurvinder Singh Mavi; Sumandeep Kaur Bazzer; Satinder Kaur; V.S. Sohu; K. V. Prabhu; Parveen Chhuneja
Backcross population derived from a cross between Triticum aestivum advance breeding line PBW703 (PBW343+Lr24+Lr28+Yr10+Yr15) and Babax, a drought tolerant line from CIMMYT was used for introgression of drought tolerance QTL (quantitative trait loci) regions in a leaf and stripe rust resistant background. Out of 24 polymorphic SSR markers reported to be linked to drought tolerance in earlier studies and 15 markers showed introgression on different chromosomes with minimum of two and maximum of nine introgressed regions in different BC2F1 plants. For phenotypic analysis, 364 BC2F4 progenies from best performing selected BC2F1 plants were evaluated for rust reaction, chlorophyll content, canopy temperature, stay green, plant height, number of tillers per meter, number of spikelets per spike, number of grains per spike, 100 grain weight under restricted irrigated conditions. Correlation analysis showed that there was significant and positive correlation between these morphological traits. Transgressive segregants were observed for all the traits which were out performing the recipient parent PBW703. A total of 42 plants carrying the Babax specific alleles for drought tolerance QTL and all the four rust resistance genes Lr24, Lr28, Yr10 and Yr15 were finally selected for agronomic evaluation. Selected improved lines for drought tolerance are being evalauted in the wheat breeding programme.
Applied Biological Research | 2017
Ramandeep Kaur Jhinjer; Gurvinder Singh Mavi; Neerja Sood; Akhil Malhotra; Harinderjeet Kaur; V.S. Sohu
Grains of fifty lines of bread wheat (Triticum aestivum L.) representing diverse genotypes were analyzed in the year 2015 for variation in their micronutrient concentrations. Both grain Zn and Fe concentrations correlated negatively with grain yield and 1000-grain weight. Zn concentration also correlated significantly but negatively with phenol reaction score and plant height. Grain Fe concentration correlated significantly but positively with plant height, grain Zn and grain protein concentration. However, the correlations of Fe content with days to heading, grain appearance score, sodium dodecyl sulphate (SDS) sedimentation value and phenol reaction score and correlations of Zn content with days to heading, grain appearance score, SDS and grain protein were weak. Both Fe and Zn concentration showed negative direct on grain yield. Significant differences between bread wheat genotypes were found for grain Fe and Zn concentrations. Five entries namely 448, 412, 420, 414 and 419 showed high values for both Fe and Zn concentration. For Zn, an increment of 33.3% (54.4 ppm) over check (40.8 ppm) was observed. For Fe, an increment of 28.1% (45.1 ppm) was observed over check (35.2 ppm). The information generated could be used for developing micronutrient biofortification strategies.
Theoretical and Applied Genetics | 2016
Govindan Velu; José Crossa; Ravi P. Singh; Yuanfeng Hao; Susanne Dreisigacker; Paulino Pérez-Rodríguez; A. K. Joshi; Ravish Chatrath; Vikas Gupta; Arun Balasubramaniam; Chhavi Tiwari; Vinod Kumar Mishra; V.S. Sohu; Gurvinder Singh Mavi
International Journal of Agriculture, Environment and Biotechnology | 2017
Neerja Sood; Gurvinder Singh Mavi; Akhil Malhotra; Ramandeep Kaur Jhinjer; Baldeep Singh; Binder Kaur; V.S. Sohu
Artificial Intelligence Review | 2017
Ramandeep Kaur Jhinjer; Gurvinder Singh Mavi; Akhil Malhotra; Neerja Sood; Baldeep Singh; Binder Kaur; Vineet Kumar; Indoo Bhagat; V.S. Sohu
Journal of research | 2014
V.S. Sohu; N. S. Bains; Gurvinder Singh Mavi; Achla Sharma; Karam Chand; Indoo Bhagat; Vp Mittal