scholarly journals Interannual variability of productive aspects of bean culture in a municipality in the Semi-arid region of Alagoas, Brazil

2020 ◽  
Vol 14 (1) ◽  
pp. 26
Author(s):  
J. P. O. Santos ◽  
L. E. L. Bulhões ◽  
P. H. A. Cartaxo ◽  
K. S. Gonzaga ◽  
A. B. T. M. Freitas ◽  
...  
Keyword(s):  
Interannual Variability ◽  
Abiotic Factors ◽  
Primary Source ◽  
Principal Component ◽  
Original Data ◽  
Climatic Conditions ◽  
Low Degree ◽  
Recovery System ◽  
Semi Arid Region ◽  
Semi Arid

Bean (Phaseolus vulgaris L.) is one of the most cultivated and consumed legumes worldwide. Brazil is one of the world's largest producers of this crop, which constitutes an important primary source of protein in the diet of its population. In the Northeast region, this legume is a key crop, especially for small family farmers. However, this region has high production susceptibility, which is mainly due to local climatic conditions and the low degree of technification employed. In this sense, the objective of this study was to analyze the productive variations of the bean crop in the municipality of Dois Riachos, Semi-arid of Alagoas, in the period 1998-2015. The production data were obtained from the IBGE Municipal Agricultural Production database, using the Automatic Recovery System (SIDRA), and subjected to correlation analysis and principal component analysis (PCA). The results showed high interannual variability in the production of beans, reflected in the strong oscillation of the analyzed variables. Significant correlations were observed between all variables. The PCA gathered 93.8% of the original data variance in its first two axes, generating 4 clusters that grouped years with similar productive characteristics. The reductions observed for the variables may be linked mainly to abiotic factors, such as the occurrence of prolonged droughts, and the low degree of technification used for this culture.

scholarly journals Effect of Temperature on Sowing Dates of Wheat under Arid and Semi-Arid Climatic Regions and Impact Quantification of Climate Change through Mechanistic Modeling with Evidence from Field

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 927
Author(s):  
Jamshad Hussain ◽  
Tasneem Khaliq ◽  
Muhammad Habib ur Rahman ◽  
Asmat Ullah ◽  
Ishfaq Ahmed ◽  
...  
Keyword(s):  
Climate Change ◽  
Grain Yield ◽  
Arid Region ◽  
Field Experiments ◽  
Climatic Conditions ◽  
Seasonal Temperature ◽  
Sowing Dates ◽  
Rcp 8.5 ◽  
Semi Arid Region ◽  
Semi Arid

Rising temperature from climate change is the most threatening factor worldwide for crop production. Sustainable wheat production is a challenge due to climate change and variability, which is ultimately a serious threat to food security in Pakistan. A series of field experiments were conducted during seasons 2013–2014 and 2014–2015 in the semi-arid (Faisalabad) and arid (Layyah) regions of Punjab-Pakistan. Three spring wheat genotypes were evaluated under eleven sowing dates from 16 October to 16 March, with an interval of 14–16 days in the two regions. Data for the model calibration and evaluation were collected from field experiments following the standard procedures and protocols. The grain yield under future climate scenarios was simulated by using a well-calibrated CERES-wheat model included in DSSAT v4.7. Future (2051–2100) and baseline (1980–2015) climatic data were simulated using 29 global circulation models (GCMs) under representative concentration pathway (RCP) 8.5. These GCMs were distributed among five quadrants of climatic conditions (Hot/Wet, Hot/Dry, Cool/Dry, Cool/Wet, and Middle) by a stretched distribution approach based on temperature and rainfall change. A maximum of ten GCMs predicted the chances of Middle climatic conditions during the second half of the century (2051–2100). The average temperature during the wheat season in a semi-arid region and arid region would increase by 3.52 °C and 3.84 °C, respectively, under Middle climatic conditions using the RCP 8.5 scenario during the second half-century. The simulated grain yield was reduced by 23.5% in the semi-arid region and 35.45% in the arid region under Middle climatic conditions (scenario). Mean seasonal temperature (MST) of sowing dates ranged from 16 to 27.3 °C, while the mean temperature from the heading to maturity (MTHM) stage was varying between 12.9 to 30.4 °C. Coefficients of determination (R2) between wheat morphology parameters and temperature were highly significant, with a range of 0.84–0.96. Impacts of temperature on wheat sown on 15 March were found to be as severe as to exterminate the crop before heading. The spikes and spikelets were not formed under a mean seasonal temperature higher than 25.5 °C. In a nutshell, elevated temperature (3–4 °C) till the end-century can reduce grain yield by about 30% in semi-arid and arid regions of Pakistan. These findings are crucial for growers and especially for policymakers to decide on sustainable wheat production for food security in the region.

Concentration and Nitrogen Stocks in the Soils of Semi-Arid Landscapes of Kizlyar Pastures

2020 ◽  
pp. 66-74
Author(s):  
Tatiana A. Asvarova ◽  
Gasan N. Gasanov ◽  
Kabirat B. Gimbatova ◽  
Kamil M. Hajiev ◽  
Rashid R. Bashirov ◽  
...  
Keyword(s):  
Total Nitrogen ◽  
Humus Horizon ◽  
Control Area ◽  
Climatic Conditions ◽  
Chestnut Soils ◽  
Number Of Species ◽  
Current State ◽  
Low Degree ◽  
Arid Landscapes ◽  
Semi Arid

The results of research on the current state of the nitrogen fund (reserve regime) the Kizlyar pastures. It was found that the total nitrogen ranges from 0.15-0.2 %, nitrogen easily hydrolyzed from 2.4-5.3 mg/100g in light-chestnut, meadow-chestnut soils and saline typical, and has a medium and low degree of security. The humus horizon is more enriched with nitrogen on soils of meadow-chestnut and light-chestnut compared to typical saline. N and C reserves in the soil in spring are 5.0 and 13.4 t/ha, respectively, and in autumn N and C reserves are 1.5 times lower, due to decrease the number of species and projected coverage up to 40-50% of phytocenoses in autumn, and also depends on the climatic conditions of the annual seasonality. In the control area with intensive grazing, nitrogen and carbon reserves in the soil are 1.6-1.8 times lower.

scholarly journals Organic fertilizers as mitigating effects of water salinity on Passiflora cincinnata seedlings

2018 ◽  
Vol 67 (4) ◽  
pp. 501-511
Author(s):  
José Sebastião de Melo Filho ◽  
Mário Leno Martins Véras ◽  
Toshik Larley Da Silva ◽  
Lunara De Sousa Alves ◽  
Thiago Jardelino Dias
Keyword(s):  
Irrigation Water ◽  
Arid Region ◽  
Climatic Conditions ◽  
Organic Fertilizers ◽  
State University ◽  
Electrical Conductivities ◽  
Randomized Experimental Design ◽  
Semi Arid Region ◽  
Semi Arid

Maracujá-do-mato (Passiflora cincinnata) is a species adapted to the climatic conditions of the Brazilian semi-arid region and widely used as rootstock, however, studies related to the production of seedlings and their resistance to abiotic stresses are scarce in literature. The objective was to study the production of maracujá-do-mato seedlings under the effect of the electrical conductivity on the irrigation water as a function of the application of organic fertilizers. The experiment was developed at the State University of Paraíba, Catolé do Rocha-PB, in a completely randomized experimental design, in a 5 x 3 factorial scheme, with 6 replicates. The factors evaluated were five electrical conductivities of irrigation water (ECw: 1; 2; 3; 4 and 5 dS m-1) and application of three organic fertilizers (bovine urine, bovine biofertilizer and liquid earthworm humus). It was verified that the increase of ECw affected the morphology and the quality of the seedlings negatively, while the bovine biofertilizer presented better efficiency in comparison to the others. It is inferred that the use of organic fertilizers as mitigating effects of salinity may be a strategy for production of maracujá-do-mato seedlings in saline conditions.

scholarly journals Effect of rainfall variability on the production of Vigna unguiculata (L.) Walp. in the semi-arid region of Paraíba

2020 ◽  
Vol 13 (9) ◽  
pp. 26
Author(s):  
L. D. R. Silva ◽  
P. H. A. Cartaxo ◽  
M. C. Silva ◽  
K. S. Gonzaga ◽  
D. B. Araújo ◽  
...  
Keyword(s):  
Vigna Unguiculata ◽  
Agricultural Production ◽  
Correlation Matrix ◽  
Rainfall Variability ◽  
Principal Component ◽  
Strong Reduction ◽  
Semi Arid Region ◽  
The Relationship ◽  
Production Dynamics ◽  
Semi Arid

Agricultural production in semi-arid areas of the globe is dependent on species adapted to conditions of low availability of resources, such as water. Cowpea (Vigna unguiculata L. Walp.) is a vegetable widely grown in regions with water restrictions, however, even with its good adaptability, it is vulnerable to the effects of prolonged droughts. In this sense, this research aimed to analyze the influence of rainfall patterns on the production dynamics of cowpea during the period of fifteen years (2002-2016) in the municipality of Conceição, Paraíba, Brazil. A correlation matrix was used to analyze the influence of precipitation on the production variables of the cowpea crop, as well as the relationship between these variables. Subsequently, the Principal Component Analysis (PCA) was carried out. The results showed a strong reduction in the production variables of cowpea from the year 2012, which is due to the reduction of rainfall in this period and was proven through the correction matrix, which showed a positive correlation of rainfall mainly with the planted and harvested area. The PCA recorded 91.02% of explanation in the first two axes, and demonstrated that for production and productivity, other factors in addition to good rainfall levels are necessary to increase the productive results of cowpea in the municipality.

scholarly journals Global comparison of 20 reference evapotranspiration equations in a semi-arid region of Iran

2018 ◽  
Vol 50 (1) ◽  
pp. 282-300 ◽  
Author(s):  
Hadi Farzanpour ◽  
Jalal Shiri ◽  
Ali Ashraf Sadraddini ◽  
Slavisa Trajkovic
Keyword(s):  
Arid Region ◽  
Reference Evapotranspiration ◽  
Meteorological Data ◽  
Irrigation Scheduling ◽  
Climatic Conditions ◽  
Accurate Estimation ◽  
Management Scenarios ◽  
Global Comparison ◽  
Semi Arid Region ◽  
Semi Arid

Abstract Accurate estimation of reference evapotranspiration (ETo) is a major task in hydrology, water resources management, irrigation scheduling and determining crop water requirement. There are many empirical equations suggested by numerous references in literature for calculating ETo using meteorological data. Some such equations have been developed for specific climatic conditions while some have been applied universally. The potential for usage of these equations depends on the availability of necessary meteorological parameters for calculating ETo in different climate conditions. The focus of the present study was a global cross-comparison of 20 ETo estimation equations using daily meteorological records of 10 weather stations (covering a period of 12 years) in a semi-arid region of Iran. Two data management scenarios, namely local and cross-station scenarios, were adopted for calibrating the applied equations against the standard FAO56-PM model. The obtained results revealed that the cross-station calibration might be a good alternative for local calibration of the ETo models when proper similar stations are used for feeding the calibration matrix.

Performance evaluation of a locally modified PV module to a PV/T solar collector under climatic conditions of semi-arid region

2020 ◽  
Vol 167 ◽  
pp. 135-154 ◽  
Author(s):  
Billel Boumaaraf ◽  
Houria Boumaaraf ◽  
Mohamed El-Amine Slimani ◽  
Selma Tchoketch_Kebir ◽  
Mohamed Salah Ait-cheikh ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Arid Region ◽  
Solar Collector ◽  
Climatic Conditions ◽  
Pv Module ◽  
Semi Arid Region ◽  
Semi Arid

scholarly journals Optimal Ridge–Furrow Ratio for Maximum Drought Resilience of Sunflower in Semi-Arid Region of China

2019 ◽  
Vol 11 (15) ◽  
pp. 4047
Author(s):  
Yuying Pan ◽  
Xuebiao Pan ◽  
Tan Zi ◽  
Qi Hu ◽  
Jing Wang ◽  
...  
Keyword(s):  
Rainwater Harvesting ◽  
Northern China ◽  
Climatic Conditions ◽  
Drought Risk ◽  
Drought Resilience ◽  
Film Mulching ◽  
Effects Of Drought ◽  
Semi Arid Region ◽  
Semi Arid ◽  
Sunflower Production

Ridge–furrow planting is often applied in semi-arid regions to reduce the drought risk on crop yield under rain-fed conditions. Sunflower (Helianthus annuus L.) is widely planted in northern China and how to reduce the drought risk on sunflower production remains a significant issue. A three-year field experiment with seven treatments (a flat plot without mulching, three plastic film-mulching treatments and three non-film-mulching treatments with different ridge–furrow ratios (1.0 m:1.0 m, 1.0 m:0.5 m and 0.5 m:1.0 m)) was conducted to study the effects of the ridge–furrow rainwater harvesting system on the rain-fed sunflower. The results showed that the sunflowers in the film-mulched treatment with the larger ridge–furrow ratio (1.0 m:0.5 m) (M1R2) had greater growth advantage under drought conditions. In the dry year, M1R2 improved the yield and water use efficiency by 11.9%–107.5% and 13.8%–120.6%, respectively, and reduced the blight grain rate by 21.5%–32.5% with less evapotranspiration (ET) compared to other treatments. Based on the historical climatological data, the guarantee rate of sunflower water requirement for M1R2 was about 75%, while the guarantee rates for the other two film-mulched treatments were only about 40% and 50%. Based on the effects of drought resilience and the characteristics of precipitation, M1R2 is recommended to be the relatively optimal treatment for sunflower production in regions with similar climatic conditions to Wuchuan County in northern China.

scholarly journals Biometry in Umbu fruits from the semi-arid region of Paraiba

2021 ◽  
Vol 43 (6) ◽  
Author(s):  
Fábio Rodrigo Araújo Pereira ◽  
Walter Esfrain Pereira ◽  
Angela Maria dos Santos Pessoa ◽  
Erika Socorro Alves Graciano de Vasconcelos
Keyword(s):  
Principal Component ◽  
Morphological Characters ◽  
Experimental Unit ◽  
Fresh Matter ◽  
Tukey Test ◽  
Randomized Design ◽  
Industrial Use ◽  
Completely Randomized Design ◽  
Semi Arid Region ◽  
Semi Arid

Abstract Umbu fruits from four municipalities of Paraíba were morphologically characterized in order to identify promising genotypes for fresh consumption and agro-industrial use. We used 400 fruits from parent plants located in São Vicente do Seridó, Queimadas, Boqueirão, and Cabaceiras and 40 commercial fruits from two open fairs in Campina Grande, PB. The experimental unit consisted of ten fruits. The fruits were analyzed for total mass (MTF), length (LC), diameter (DF), fresh matter (MMF), yield (RF), and presence of hairs. In the endocarps, mass (ME), length (CE), diameter (DE), and width (LE) were the evaluated parameters. A completely randomized design was adopted, the data were subjected to variance analysis, and the means were compared by the Tukey test and principal component analysis. The fruits from Queimadas and São Vicente do Seridó showed the best morphological characters with regard to mass, length, diameter, fresh matter, and fruit yield, and were the most promising for agro-industrial commercialization. The fruits from Boqueirão showed the highest endocarp mass. Most fruits showed hairs on the peel, except the commercial ones. Four groups of municipalities were formed, with the fruits from Queimadas showing the largest size, while the fruits from São Vicente de Seridó and Soledade showed the highest yield.

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 > 0.5, Hardy-Weinberg equilibrium (significance at 0.01) and lower allele frequency (MAF) > 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 Drainage Network Patterns Determinism: A Comparison in Arid, Semi-Arid and Semi-Humid Area of Morocco Using Multifactorial Approach

Hydrology ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 87
Author(s):  
Tarik Bouramtane ◽  
Abdessamad Tiouiouine ◽  
Ilias Kacimi ◽  
Vincent Valles ◽  
Amine Talih ◽  
...  
Keyword(s):  
Principal Component ◽  
Climatic Conditions ◽  
Tectonic Deformation ◽  
Drainage Network ◽  
Drainage Networks ◽  
Discrimination Rate ◽  
Multifactorial Approach ◽  
Network Patterns ◽  
Network Pattern ◽  
Semi Arid

Drainage network patterns influence the hydrological response of the watersheds and must be taken into account in the management of the water resource. In this context, it is important to identify the factors that control the configuration of drainage networks in and beyond specific climatic conditions. Here, we study 318 basins spread over three sectors (arid, semi-arid, and semi-humid) of Morocco where seven drainage network patterns have been identified. From each basin, 14 parameters were extracted, describing the relief, geology, morphometry, drainage network, land cover, precipitation, and time of concentration (Tc). Principal component analysis (PCA) and discriminant analysis (DA) processing were performed on the entire database and on each sector separately. The results show that the drainage network pattern is a feature of the landscape that contributes significantly to the variance of the basins. They suggest that the distribution of network patterns is controlled by the relationship between the different parameters, mainly those related to the relief, more than by the variations of each parameter taken individually. The network discrimination rate is 63.8%, which improves when each sector is treated separately. Confusion in discrimination are similar across all sectors and can be explained by similar conditions (active tectonic, deformation, and uplift) or transitions from one network pattern to another, due to the landscape evolution of certain sectors. A contribution of climatic variables appears locally but was attributed to a statistical coincidence, these parameters presenting a distribution close to that of the relief and geology variables.

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