Foliar Thiourea Confers Moisture Stress Tolerance in Rainfed Maize Through Elevated Antioxidative Defence System, Osmolyte Accumulation and Starch Synthesis Grown Under Different Planting Methods

Author(s):  
Talveer Singh ◽  
Parminder Singh Sandhu ◽  
Gagandeep Kaur Chahal ◽  
Sohan Singh Walia
2021 ◽  
Vol 42 (6) ◽  
pp. 1478-1487
Author(s):  
S.K. Sandhu ◽  
◽  
MS. Sunayana ◽  
L. Pal ◽  
I. Rialch ◽  
...  

Aim: Identification of high breeding value donor lines harbouring tolerance to moisture stress from diversity stock of 443 genotypes of Brassica juncea. Methodology: Germplasm stock of 443 Indian mustard (Brassica juncea L.) genotypes, comprising introgression lines, land races, old cultivars and advance breeding lines, were evaluated under two environments viz., irrigated and rainfed conditions to check the variability for yield and related traits. Statistical software META-Rver 6.0 (Multi Environment Trial Analysis using R) was used for computation of Best Linear Unbiased Predictions, Analysis of Variance (ANOVA), Genetic Correlations and Heritability. Drought susceptibility index and per cent seed yield reduction under rainfed conditions were used as indicators to determine moisture stress tolerance in genotypes. Results: The variability for moisture stress tolerance has been unravelled in a diverse genetic stock of Brassica juncea under two environments: irrigated and rainfed. For high prediction accuracy, the ranking of genotypes was done based on Best Linear Unbiased Predictions for seed yield and its component traits. PBR-378, RGN-329, RB-73, RB-50 and PBR-422 and Giriraj were identified as moisture stress tolerant genotypes. One land race Sahib 36 and three introgression lines viz., MCP 12-211, PTJ-3-69 and MSC-3 have also been identified as potential genetic resources for moisture stress tolerance. Principal component analysis based on biplots depicted specific distribution of variables for each environment. Interpretation: This study led to the identification of potential donors for moisture stress tolerance with high predictive accuracy. Low drought susceptibility index and high breeding value in a land race and three introgression lines derived from Erucastrum cardaminoides, B. tournefortii and B. carinata emphasized their utilization as potential genetic resources to breed for moisture stress tolerance in B. juncea.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jeshima Khan Yasin ◽  
Bharat Kumar Mishra ◽  
M. Arumugam Pillai ◽  
Nidhi Verma ◽  
Shabir H. Wani ◽  
...  

Abstract Horsegram (Macrotyloma uniflorum (Lam.) Verdc.) is a drought hardy food and fodder legume of Indo-African continents with diverse germplasm sources demonstrating alternating mechanisms depicting contrasting adaptations to different climatic zones. Tissue specific expression of genes contributes substantially to location specific adaptations. Regulatory networks of such adaptive genes are elucidated for downstream translational research. MicroRNAs are small endogenous regulatory RNAs which alters the gene expression profiles at a particular time and type of tissue. Identification of such small regulatory RNAs in low moisture stress hardy crops can help in cross species transfer and validation confirming stress tolerance ability. This study outlined prediction of conserved miRNAs from transcriptome shotgun assembled sequences and EST sequences of horsegram. We could validate eight out of 15 of the identified miRNAs to demonstrate their role in deficit moisture stress tolerance mechanism of horsegram variety Paiyur1 with their target networks. The putative mumiRs were related to other food legumes indicating the presence of gene regulatory networks. Differential miRNA expression among drought specific tissues indicted the probable energy conservation mechanism. Targets were identified for functional characterization and regulatory network was constructed to find out the probable pathways of post-transcriptional regulation. The functional network revealed mechanism of biotic and abiotic stress tolerance, energy conservation and photoperiod responsiveness.


2008 ◽  
Vol 52 (4) ◽  
pp. 767-770 ◽  
Author(s):  
P. Sharma ◽  
R. Bhardwaj ◽  
N. Arora ◽  
H. K. Arora ◽  
A. Kumar

HortScience ◽  
1991 ◽  
Vol 26 (4) ◽  
pp. 422 ◽  
Author(s):  
D. Joseph Eakes ◽  
Robert D. Wright ◽  
John R. Seiler

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