Biochemical, functional and molecular characterization of pigeon pea rhizobia isolated from semi-arid regions of India

2020 ◽  
Vol 202 (7) ◽  
pp. 1809-1816
Author(s):  
Devendra Jain ◽  
Anisha Kumari ◽  
Heena Saheewala ◽  
Suman Sanadhya ◽  
Deepali Maheshwari ◽  
...  
Keyword(s):  
Molecular Characterization ◽  
Arid Regions ◽  
Pigeon Pea ◽  
Semi Arid

scholarly journals Mapping and Characterization of Phenological Changes over Various Farming Systems in an Arid and Semi-Arid Region Using Multitemporal Moderate Spatial Resolution Data

2021 ◽  
Vol 13 (4) ◽  
pp. 578
Author(s):  
Youssef Lebrini ◽  
Abdelghani Boudhar ◽  
Ahmed Laamrani ◽  
Abdelaziz Htitiou ◽  
Hayat Lionboui ◽  
...  
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Time Series ◽  
Arid Regions ◽  
Farming Systems ◽  
Phenological Changes ◽  
Phenological Metrics ◽  
Semi Arid ◽  
Resolution Data

Changing land use patterns is of great importance in environmental studies and critical for land use management decision making over farming systems in arid and semi-arid regions. Unfortunately, ground data scarcity or inadequacy in many regions can cause large uncertainties in the characterization of phenological changes in arid and semi-arid regions, which can hamper tailored decision making towards best agricultural management practices. Alternatively, state-of-the-art methods for phenological metrics’ extraction and long time-series analysis techniques of multispectral remote sensing imagery provide a viable solution. In this context, this study aims to characterize the changes over farming systems through trend analysis. To this end, four farming systems (fallow, rainfed, irrigated annual, and irrigated perennial) in arid areas of Morocco were studied based on four phenological metrics (PhM) (i.e., great integral, start, end, and length of the season). These were derived from large Moderate resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) time-series using both a machine learning algorithm and a pixel-based change analysis method. Results showed that during the last twenty-year period (i.e., 2000–2019), a significant dynamism of the plant cover was linked to the behavior of farmers who tend to cultivate intensively and to invest in high-income crops. More specifically, a relevant variability in fallow and rainfed areas, closely linked to the weather conditions, was found. In addition, significant lag trends of the start (−6 days) and end (+3 days) were found, which indicate that the length of the season was related to the spatiotemporal variability of rainfall. This study has also highlighted the potential of multitemporal moderate spatial resolution data to accurately monitor agriculture and better manage land resources. In the meantime, for operationally implementing the use of such work in the field, we believe that it is essential consider the perceptions, opinions, and mutual benefits of farmers and stakeholders to improve strategies and synergies whilst ensuring food, welfare, and sustainability.

scholarly journals Molecular Characterization of chickpea genotypes and Identification of true hybrids by molecular markers

2021 ◽  
Vol 2 (1) ◽  
pp. 41-49
Author(s):  
Bhavana Surduse ◽  
◽  
P. A. Mohanapure ◽  
V.C. Khelurkar ◽  
M. P. Moharil ◽  
...  
Keyword(s):  
Molecular Characterization ◽  
Ssr Markers ◽  
Arid Regions ◽  
Grain Legume ◽  
Polymorphic Markers ◽  
F1 Hybrid ◽  
Average Value ◽  
Stms Marker ◽  
Hybrid Purity

Chickpea (Cicer arietinum L.) is the third most important grain legume cultivated in the arid and semi-arid regions of the world. In the present study Six crossing combinations were executed in chickpea comprising Chanoli and PKV Kabuli 4 as female parents and Virat, BDNGK-798 and WR- 315 as resistant male parents. Total 54 markers including 13 SCoT, 31 SSR, 5 STMS, 3 RAPD, 1 SCAR, and 1 ISSR, used for parental polymorphism and polymorphic markers UBC-855, 66 % for TA-59 and 100 % for TA-110, TA-135 and GA-16 were further used to hybridity assessments of F1 plants. The PIC value for polymorphic markers ranged from 0.15 to 0.89 with an average value of 0.46. The highest PIC value was observed in UBC-855 marker (0.89), followed by TA-135 (0.62), TA-59 (0.50), and GA-16 (0.16) and lowest PIC value observed in TA-110 (0.15). From total crosses 31 F1 plants of six crosses were screened for true F1 hybridity assessment. STMS marker TA-59 was used for F1 hybrid purity assessment. This marker screened 31 F1 plants. TA-59 shows specific size amplicon in female and male parents. The results of this investigation proved that SSR markers are well polymorphic and more useful markers within species of chickpea genotypes to perform the molecular characterization and to test the genetic hybridity of F1 plants. Among the tested SSR markers TA-59, TA-110, TA-135, GA-16, UBC-855 shows high percentage of polymorphism and PIC value which will were more helpful for parental diversity analysis and hybridity assessment.

scholarly journals Characterization of the goat feeding system among rural small holder farmers in the semi-arid regions of Uganda

SpringerPlus ◽  
2015 ◽  
Vol 4 (1) ◽  
Author(s):  
Dorothy Kalule Nampanzira ◽  
John David Kabasa ◽  
Sara Agnes Nalule ◽  
Immaculate Nakalembe ◽  
John Robert Stephen Tabuti
Keyword(s):  
Arid Regions ◽  
Feeding System ◽  
Small Holder Farmers ◽  
Small Holder ◽  
Semi Arid

1446: Molecular Characterization of Cyclooxygenase-2 in a Stimulated Prostate Stroma Cells

2006 ◽  
Vol 175 (4S) ◽  
pp. 467-467
Author(s):  
Victor K. Lin ◽  
Shih-Ya Wang ◽  
Claus G. Roehrbom
Keyword(s):  
Molecular Characterization ◽  
Cyclooxygenase 2 ◽  
Prostate Stroma
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