A hybrid multi-criteria decision making method for site selection of subsurface dams in semi-arid region of Iran

2020 ◽  
Vol 10 ◽  
pp. 100284 ◽  
Author(s):  
Amal Dortaj ◽  
Soroush Maghsoudy ◽  
Faramarz Doulati Ardejani ◽  
Zabihollah Eskandari
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Arid Region ◽  
Multi Criteria Decision Making ◽  
Semi Arid Region ◽  
Semi Arid ◽  
Selection Of

scholarly journals Effects of polymer cyclohexane application on lentil pod shatter in semi-arid region of Turkey

2018 ◽  
Vol 64 (No. 3) ◽  
pp. 136-142 ◽  
Author(s):  
Aslan Hasan ◽  
Gayberi Mahmut ◽  
Kahraman Abdullah
Keyword(s):  
Arid Region ◽  
High Yield ◽  
Semiarid Region ◽  
Application Time ◽  
Crucial Feature ◽  
Pod Shatter ◽  
Semi Arid Region ◽  
Semi Arid ◽  
Selection Of ◽  
Plot Experiment

Pod shattering in lentil which is vital plant of dry lands is a crucial feature for high yield. Selection of lentil variety is very important in order to reduce pod shatter. Some of lentil varieties are very productive; however, shattering loss decreases profitable yields. In this study, reduction of pod shatter in lentil varieties was investigated with application of polymer cyclohexane compounds. An experiment was conducted with split-split-plot experiment design with two lentil varieties (‘Firat-87’ and ‘Cagil’), two application time (podset and 15 days before harvest (DBH)) and three application doses (0, 0.5, 2 l·ha<sup>–1</sup>) as triplicate during two years. Effects of application time on podset were found statistically insignificant and application of 0.5 l·ha<sup>–1</sup> dose was found effective for 15 DBH application time. As a result, 0.5 pod shatter polymer cyclohexane and 15 DBH was found as optimum doses and application time, respectively in order to reduce pod shatter loss by nearly 1% for semiarid region of Turkey.

scholarly journals Selection of upland cotton for the Brazilian semi-arid region under supplementary irrigation

2019 ◽  
Vol 19 (2) ◽  
pp. 185-192
Author(s):  
Jarbas Florentino de Carvalho ◽  
José Jaime Vasconcelos Cavalcanti ◽  
Francisco José Correia Farias ◽  
Jean Pierre Cordeiro Ramos ◽  
Damião Raniere Queiroz ◽  
...  
Keyword(s):  
Arid Region ◽  
Upland Cotton ◽  
Supplementary Irrigation ◽  
Semi Arid Region ◽  
Semi Arid ◽  
Selection Of

scholarly journals PSI-9 Molecular characterization of Berganês sheep, a locally adapted ecotype from Brazilian semi-arid region

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 288-289
Author(s):  
Riani Ananda Nunes Soares ◽  
Joel Fonseca Nogueira ◽  
João Bandeira de Moura Neto ◽  
Gisele Veneroni Gouveia ◽  
Maria Norma Ribeiro ◽  
...  
Keyword(s):  
Arid Region ◽  
Coat Color ◽  
Principal Component ◽  
Ovis Aries ◽  
Selection Processes ◽  
Head Morphology ◽  
Semi Arid Region ◽  
Efficiency Of Selection ◽  
Semi Arid ◽  
Selection Of

Abstract The Ovis aries species is phenotypically diverse and it is bred around the world for meat, milk and wool production. In the 1980s, small farmers in the semi-arid region of Pernambuco, Brazil, initiated the introgression of genes from Santa Inês and Bergamácia breeds in their local sheep of undefined breed, and the selection of individuals in an unstructured form, giving rise to an ecotype with unique characteristics called Berganês. The aim of this study was to perform genetic structure analysis of the Berganês ecotype population on farms in the state of Pernambuco using the Illumina® BeadChip OvineSNP50 high density chip as a way of increasing knowledge about the ecotype. Animals from seven farms were genotyped, totaling 96 animals (17 males and 79 females). Of the 54,241 Single Nucleotide Polymorphism (SNPs) found, we elected the ones with GenCall Score &gt; 0.5, Hardy-Weinberg equilibrium (significance at 0.01) and lower allele frequency (MAF) &gt; 0.2. In addition, only SNPs located on the autosomal chromosomes were maintained, according to version 4.0 of the sheep genome, with 39,250 SNPs being selected. The observed and expected mean heterozygosity values were, respectively, 0.37159 and 0.37943. The F statistics found were: FIS = 0.02622, FST = 0 and FIT = 0.02394. Most of the variability found (97.61%), which was estimated by AMOVA, is uniformly distributed within the herds and the Principal Component Analysis (PCA) did not allow the visual identification of a substructure considering herds, sex or phenotypic characteristics (coat color, ear size and insertion, and head morphology). Thus, the genetic variability presented in the animals of the Berganês ecotype is distributed homogeneously among the herds analyzed. Therefore, the genetic characterization presented here represents a key point in the creation of conservation plans and breeding programs, improving the efficiency of selection processes and the selection of breeders.

scholarly journals A New Approach for Site Selection of Air Quality Monitoring Stations: Multi-Criteria Decision-Making

2016 ◽  
Vol 16 (6) ◽  
pp. 1390-1402 ◽  
Author(s):  
Halil İbrahim Hacıoğlu ◽  
Akif Arı ◽  
Aysun Özkan ◽  
Tolga Elbir ◽  
Gürdal Tuncel ◽  
...  
Keyword(s):  
Decision Making ◽  
Air Quality ◽  
Site Selection ◽  
Quality Monitoring ◽  
Multi Criteria Decision Making ◽  
Air Quality Monitoring ◽  
New Approach ◽  
Air Quality Monitoring Stations ◽  
Selection Of ◽  
Monitoring Stations
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