scholarly journals Morphological and physiological studies in three alfalfa varieties (Medicago sativa L.) under salt stress

2012 ◽  
Vol 1 (4) ◽  
pp. 29-37
Author(s):  
Majid Mezni
Author(s):  
Galina Stepanova

The article describes the main morphological and biological features of alfalfa varieties included in the State register of breeding achievements approved for use in the Central Chernozem zone of Russia. A total of 32 alfalfa varieties are included in the State register. This is 9 varieties of blue alfalfa (Medicago sativa L. subsp. Sativa) of domestic selection and 8 foreign, 11 varieties of variable alfalfa (Medicago sativa L. nothosubsp. varia (Martyn) Arcang.) domestic selection and 1 variety of foreign and 3 varieties of yellow alfalfa (Medicago sativa L. subsp. falcata (L.) Arcang.). It shows the average and maximum yield of varieties determined in the process of state variety testing, as well as independent evaluation in research institutions in the region. Varieties of blue alfalfa of domestic selection Kevsala, Elena, Satellite, Vavilovskaya Yubileynaya were the most productive. The average yield of dry matter of these varieties reaches 8.4–9.2 t/ha, the maximum — 15.3–17.7 t/ha. Alfalfa varieties Timbale and Galaxy were the most productive among foreign varieties: the average yield of dry matter was 8.1 and 8.3 t/ha, the maximum – 15.5 and 17.2 t/ha. Varieties of alfalfa variable Vitalina and Vela provided an average yield of dry matter of 7.6 and 9.0 t/ha, the maximum yield reached 15.4 and 18.1 t/ha.


Cells ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 3372
Author(s):  
Cesar A. Medina ◽  
Harpreet Kaur ◽  
Ian Ray ◽  
Long-Xi Yu

Agronomic traits such as biomass yield and abiotic stress tolerance are genetically complex and challenging to improve through conventional breeding approaches. Genomic selection (GS) is an alternative approach in which genome-wide markers are used to determine the genomic estimated breeding value (GEBV) of individuals in a population. In alfalfa (Medicago sativa L.), previous results indicated that low to moderate prediction accuracy values (<70%) were obtained in complex traits, such as yield and abiotic stress resistance. There is a need to increase the prediction value in order to employ GS in breeding programs. In this paper we reviewed different statistic models and their applications in polyploid crops, such as alfalfa and potato. Specifically, we used empirical data affiliated with alfalfa yield under salt stress to investigate approaches that use DNA marker importance values derived from machine learning models, and genome-wide association studies (GWAS) of marker-trait association scores based on different GWASpoly models, in weighted GBLUP analyses. This approach increased prediction accuracies from 50% to more than 80% for alfalfa yield under salt stress. Finally, we expended the weighted GBLUP approach to potato and analyzed 13 phenotypic traits and obtained similar results. This is the first report on alfalfa to use variable importance and GWAS-assisted approaches to increase the prediction accuracy of GS, thus helping to select superior alfalfa lines based on their GEBVs.


2016 ◽  
Vol 402 (1-2) ◽  
pp. 247-261 ◽  
Author(s):  
Yafang Wang ◽  
Zhiqiang Zhang ◽  
Pan Zhang ◽  
Yuman Cao ◽  
Tianming Hu ◽  
...  

Plants ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 220 ◽  
Author(s):  
Huifang Cen ◽  
Tingting Wang ◽  
Huayue Liu ◽  
Danyang Tian ◽  
Yunwei Zhang

Alfalfa (Medicago sativa L.) is an important and widely cultivated forage grass. The productivity and forage quality of alfalfa are severely affected by salt stress. Melatonin is a bioactive molecule with versatile physiological functions and plays important roles in response to various biotic and abiotic stresses. Melatonin has been proven efficient in improving alfalfa drought and waterlogging tolerance in recent studies. In our reports, we applied melatonin exogenously to explore the effects of melatonin on alfalfa growth and salt resistance. The results demonstrated that melatonin application promoted alfalfa seed germination and seedling growth, and reduced oxidative damage under salt stress. Further application research found that melatonin alleviated salt injury in alfalfa plants under salt stress. The electrolyte leakage, malondialdehyde (MDA) content and H2O2 content were significantly reduced, and the activities of catalase (CAT), peroxidase (POD), and Cu/Zn superoxide dismutase (Cu/Zn-SOD) were increased with melatonin pretreatment compared to control plants under salt stress with the upregulation of genes related to melatonin and antioxidant enzymes biosynthesis. Melatonin was also involved in reducing Na+ accumulation in alfalfa plants. Our study indicates that melatonin plays a primary role as an antioxidant in scavenging H2O2 and enhancing activities of antioxidant enzymes to improve the salt tolerance of alfalfa plants.


2015 ◽  
Vol 43 (2) ◽  
pp. 191-196
Author(s):  
Ensieh Ashrafi ◽  
Morteza Zahedi ◽  
Jamshid Razmjoo

The effect of salt stress on enzyme activities of nine alfalfa cultivars at germination and seedling stage was studied. The activities of SOD, GR, POX and APOX were higher in salt tolerant and lower in salt sensitive cultivars. Results of the effect of salt stress on the SOD, GR, POX, APOX activities and MDA content may be used to select salt tolerance cultivars at the germination and seedling stages. SOD, GR, POX, APOX and MDA may play an important role in salt tolerant mechanisms in alfalfa. DOI: http://dx.doi.org/10.3329/bjb.v43i2.21672 Bangladesh J. Bot. 43(2): 191-196, 2014 (September)


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