scholarly journals The Relationship Between Coat Color and Reproductive Performance of Dairy Cows in Algeria

2021 ◽  
Vol 11 (4) ◽  
pp. 713-717
Author(s):  
Sara Lamari ◽  
Youcef Saber
Keyword(s):  
Dairy Cows ◽  
Coat Color ◽  
Reproductive Efficiency ◽  
Hair Coat ◽  
Temperature Regulator ◽  
Semi Arid Region ◽  
The Relationship ◽  
Efficiency Of Reproduction ◽  
Semi Arid ◽  
Reproduction Efficiency

The objective of the current study was to analyze the reproduction parameters of 48 dairy cows (29 Montbeliardes and 19 Normandes) and their relationship to coat color. Cows were imported from European countries and raised in the semi-arid region of Sétif in Algeria. The findings showed that the cows of the Montbéliarde breed were more fertile and of greater reproduction efficiency, compared to Normandes. Regarding the Montbéliarde breed, the intervals between calving and calving to conception were respectively 378.34 and 98.65 days, which were shorter than those of the Normandes breed (67 and 22 days, respectively). Normandes cows registered a higher number of services per conception (1.54 ± 0.9), compared to Montbeliarde cows (1.34 ± 0.55). Calving to the first service interval of the Normandes (76 days) was longer by 5 days than that of the Montbéliarde breed. The coats of Montbéliarde cows (51%) were whiter than those of Normandes (48%). A darker hair coat probably assured protectivity against thermal stress and greater efficiency of reproduction. The interval between calving in Montbéliarde cows was significantly affected by coat color; the interval between calving of cows with a colored coat was shorter (358 days) than whiter cows (400 days). For Normandes, cows with a colorful coat required fewer services per conception number (1.44). Hair works as a temperature regulator and may affect reproduction performances. The results of the current study suggest the possibility of integrating coat color into animal selection. It can be assumed that colored coats for Montbéliarde and Normande breeds appear to be related to their reproductive efficiency (interval between calving and number of services per conception, respectively).

On-farm phosphorus budget: Model to predict yearly phosphorus contents in manure of dairy herds

2007 ◽  
Vol 87 (3) ◽  
pp. 407-411
Author(s):  
Isabelle Chaperon, Cynthia Ouellet ◽  
Vincent Girard ◽  
Younes Chorfi
Keyword(s):  
Dairy Cows ◽  
Soil Phosphorus ◽  
Reproductive Efficiency ◽  
Dairy Herds ◽  
Cow Manure ◽  
Phosphorus Budget ◽  
Budget Model ◽  
Dairy Animals ◽  
On Farm ◽  
The Relationship

In order to reduce soil phosphorus (P) saturation, it is essential to assess the amount of manure P on cultivated soil. The purpose of this study was to estimate yearly herd manure P outputs from production and feeding records with a model based on replacement and dairy animals. The model predicts manure P based on P ingested by dairy cows (kg yr-1), P secreted in milk (kg yr-1), P in calf at birth (kg yr-1), and the number of first-lactation cows. The relationship between first-lactation cows and heifers was established; there were 1.3 ± 0.05 heifers for each first-lactation cow. Manure P from heifers was then obtained by fitting the model to manure P accumulated in concrete pits of 12 farms, measured over two 6-mo periods at 1 yr intervals. The model added 10.6 ± 4.6 kg of P for each first-lactation cow to predict the yearly P output of 1.3 heifers. Ratios between P harvested as feed and P predicted in manure were calculated in 1133 herds. High ratios were obtained in herds with less customized concentrate (P < 0.001), more harvested grain and silage (P < 0.001) on farm and larger size of herd (P < 0.001) with more milk (P < 0.001) and lower calf production (P < 0.001). Decreasing purchased customized concentrates and increasing the amount of silage fed to animals are valid options to reduce non-point-source P pollution. Key words: Dairy herds, manure, phosphorus, model, reproductive efficiency

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 The relationship between anthropogenic dust and population over global semi-arid regions

2016 ◽  
Vol 16 (8) ◽  
pp. 5159-5169 ◽  
Author(s):  
Xiaodan Guan ◽  
Jianping Huang ◽  
Yanting Zhang ◽  
Yongkun Xie ◽  
Jingjing Liu
Keyword(s):  
Population Density ◽  
Arid Regions ◽  
Population Change ◽  
Dominant Role ◽  
Positive Contribution ◽  
Regional Population ◽  
Semi Arid Region ◽  
The Impact ◽  
The Relationship ◽  
Semi Arid

Abstract. Although anthropogenic dust has received more attention from the climate research community, its dominant role in the production process is still not identified. In this study, we analysed the relationship between anthropogenic dust and population density/change over global semi-arid regions and found that semi-arid regions are major source regions in producing anthropogenic dust. The results showed that the relationship between anthropogenic dust and population is more obvious in cropland than in other land cover types (crop mosaics, grassland, and urbanized regions) and that the production of anthropogenic dust increases as the population density grows to more than 90 persons km−2. Four selected semi-arid regions, namely East China, India, North America, and North Africa, were used to explore the relationship between anthropogenic dust production and regional population. The most significant relationship between anthropogenic dust and population occurred in an Indian semi-arid region that had a greater portion of cropland, and the high peak of anthropogenic dust probability appeared with 220 persons km−2 of population density and 60 persons km−2 of population change. These results suggest that the influence of population on production of anthropogenic dust in semi-arid regions is obvious in cropland regions. However, the impact does not always have a positive contribution to the production of anthropogenic dust, and overly excessive population will suppress the increase of anthropogenic dust. Moreover, radiative and climate effects of increasing anthropogenic dust need more investigation.

scholarly journals STATISTICAL ANALYSIS OF THE SPATIAL RELASHIONSHIP OF CAATINGA AND PHYSIOGRAPHIC FACTORS THROUGH REMOTE DATA

FLORESTA ◽  
2019 ◽  
Vol 49 (4) ◽  
pp. 755
Author(s):  
Janisson Batista de Jesus ◽  
Mariana Mizutani Ribeiro ◽  
Tatiana Mora Kuplich ◽  
Bruno Barros de Souza ◽  
Dráuzio Correia Gama
Keyword(s):  
Spatial Distribution ◽  
Statistical Analysis ◽  
Arid Region ◽  
Factors Associated ◽  
Independent Variables ◽  
Caatinga Vegetation ◽  
Semi Arid Region ◽  
Relationship Of ◽  
The Relationship ◽  
Semi Arid

The caatinga is characteristic of the semi-arid region of Brazil, of significant coverage in the northeast of the country and, therefore, geoprocessing and statistical techniques can be important tools to analyze the environmental factors associated with its distribution. The present study had the objective of analyzing the relationship of: altimetry, slope, soil type and river proximity in the spatial distribution of the caatinga vegetation, using a database generated by geoprocessing techniques. NDVI was used, and statistical analysis was based on multiple regression and Pearson's correlation. The results show that the weather station is the only variable that presented a high determination coefficient with the caatinga vegetation (R2 = 0.956), while the other independent variables have weak or nonexistent correlation. With the techniques of geoprocessing was allowed to observe that the Caatinga has a generalist spatial distribution of occurrence, not having a defined pattern.

scholarly journals Curve Number Estimation for Ungauged Watershed in Semi-Arid Region

2021 ◽  
Vol 7 (6) ◽  
pp. 1070-1083
Author(s):  
Denik Sri Krisnayanti ◽  
Wilhelmus Bunganaen ◽  
John H. Frans ◽  
Yustinus A. Seran ◽  
Djoko Legono
Keyword(s):  
Land Use ◽  
Surface Runoff ◽  
Curve Number ◽  
Eastern Region ◽  
Large Area ◽  
Rainfall Depth ◽  
Standard Response ◽  
Semi Arid Region ◽  
The Relationship ◽  
Semi Arid

The Benanain Watershed is located in East Nusa Tenggara with an area of 3,181 km2 and is divided into 29 sub-watersheds. The East Nusa Tenggara itself is an eastern region of Indonesia with a unique climate condition called semi-arid. The high rainfall intensity occurring in short duration results in large surface runoff and erosion. Floods and erosion in semi-arid areas due to sensitive soils to drought and heavy rainfall extremely. This paper presents the application of the Soil Conservation Services-Curve Number (SCS-CN) real-flood flows through a digital map of soil type, land use, topography, and the heterogeneity of physical condition, especially for ungauged watersheds. The method used is an approach empirical to estimate runoff from the relationship between rainfall, land use, and soil hydrology groups. This watershed has a large area that must analyze every sub-watershed. The land-use of the Benanain watershed is secondary dryland forest by 44.26% and the hydrological soil group on the B group classification with medium to high absorption potential by 46.502% from the total area. The curve number value of the Benanain Watershed ranges from 56.54 to 73.90, where the mean CN value of 65.32. The rainfall (mm) for the 29 sub-watersheds in the Benanain Watershed has decreased by about 74.65% when being surface runoff or only 25.35% of water becomes surface runoff. The relationship between rainfall depth and CN is classified as standard response and trend line (flat slope) equilibrium occurs when rainfall depth value of 56.71 mm and CN is close to 66.30. The high variability of intense rainfall between the rainy season and the dry season had a significant influence on the curve number value in a large watershed area. Further analysis will be more accurate if it is supported by long rainfall data and observation runoff data as a control. Doi: 10.28991/cej-2021-03091711 Full Text: PDF

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.

Lead Poisoning Risk for Dairy Cows in the Semi-Arid Region of Pernambuco, Brazil

2011 ◽  
Vol 86 (2) ◽  
pp. 199-202 ◽  
Author(s):  
C. M. Silva ◽  
R. S. Amaral ◽  
F. C. A. Ribeiro ◽  
J. N. Tabosa ◽  
J. A. S. Júnior ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Lead Poisoning ◽  
Arid Region ◽  
Semi Arid Region ◽  
Semi Arid
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