Genotype–environment interaction of lovegrass forage yield in the semi-arid region of Argentina

2001 ◽  
Vol 137 (3) ◽  
pp. 329-336 ◽  
Author(s):  
M. A. IBAÑEZ ◽  
M. A. DI RENZO ◽  
S. S. SAMAME ◽  
N. C. BONAMICO ◽  
M. M. POVERENE
Keyword(s):  
Regression Analysis ◽  
Arid Region ◽  
Interaction Effects ◽  
Sum Of Squares ◽  
Forage Yield ◽  
Environment Interaction ◽  
Genotype Environment Interaction ◽  
Ammi Model ◽  
Semi Arid Region ◽  
Semi Arid

Genotype–environment interaction and yield stability were evaluated for 19 genotypes of lovegrass (Eragrostis curvula). The study was conducted in the central semi-arid region of Argentina. Three locations and two growing seasons in combination generated six environments. Genotypic responses and stability of yield under variable environments were investigated. The genotype–environment interaction was analysed by three methods: regression analysis, AMMI and principal coordinates analysis (PCO). Analysis of variance showed that effects of genotype, environment and genotype–environment interaction were highly significant (P < 0·01). The genotypes accounted for 20% of the treatment sum of squares, with environment responsible for 65% and interaction for 14·5%. The biplot indicated that there was partial agreement between the AMMI and regression model. However the scatter point diagrams obtained from PCO analysis revealed only limited agreement with the results obtained by the regression analysis and the AMMI model. The results show that the AMMI model as a whole explained twice as much of the interaction sum of squares as did regression analysis and was more adequate than PCO analysis in quantifying environment and genotype effects for forage yield. AMMI analysis of the genotype–environment interaction effects showed that there were responses characteristic of a particular location. This type of association implies some predictability of genotype–environment interaction effects on forage yield production when differential responses across genotypes are associated with locations. Environmental factors may contribute to the interpretations of genotype–environment interaction. However in the semi-arid region, where fluctuations in growing conditions are unpredictable, additional research is required to obtain an integration of interaction analysis with external environmental (or genotypic) variables.

scholarly journals Determinants of Agroforestry Practitioners Income in Semi-Arid Region of Nigeria

2020 ◽  
pp. 67-72
Author(s):  
B. D. Zira ◽  
M. A. Gupa
Keyword(s):  
Regression Analysis ◽  
Skill Acquisition ◽  
Arid Region ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Semi Arid Region ◽  
Multistage Sampling ◽  
Semi Arid

This study examined the determinants of farm income among Agroforestry Practitioners in Semi-arid region of Nigeria. Using a multistage sampling technique, 300 Practitioners were randomly selected from six purposive selected semi-arid region of Nigeria. The data were analyzed using descriptive statistics and multiple regression analysis. The study revealed an income of between N301,000 and N400,000 among the Agroforestry Practitioners in the study area. Result on the linear regression analysis revealed that the coefficients of Agroforestry farm output (p<0. 01), farm size (p<0. 01, household size (p<0. 05,) and education (p<0. 05,) were found to positively and statistically influence Agroforestry farm income in the study area. It is recommended that multifaceted interventions through infrastructural development that supports access to education and land, skill acquisition and empowerment program should be implemented in the study area.

scholarly journals MORPHOLOGY AND PRODUCTIVITY OF "JUREMINHA" GENOTYPES (Desmanthus spp.) UNDER DIFFERENT CUTTING INTENSITIES

2016 ◽  
Vol 29 (3) ◽  
pp. 742-752 ◽  
Author(s):  
THIAGO BEZERRA CALADO ◽  
MÁRCIO VIEIRA DA CUNHA ◽  
VICENTE IMBROISI TEIXEIRA ◽  
MÉRCIA VIRGINIA FERREIRA DOS SANTOS ◽  
HACTUS SOUTO CAVALCANTI ◽  
...  
Keyword(s):  
Arid Region ◽  
Total Yield ◽  
Forage Yield ◽  
Forage Plants ◽  
Pod Yield ◽  
Leaf Yield ◽  
Number Of Leaves ◽  
Semi Arid Region ◽  
Cutting Intensity ◽  
Semi Arid

ABSTRACT The aim of the study was to evaluate the morphological and productive characteristics of five genotypes of Desmanthus spp. submitted to two cutting intensities (20 and 40 cm), in the semi-arid region of Pernambuco. Of the genotypes studied, three were derived from ecotypes collected in municipalities of Pernambuco (7G, 31D and 50J) and two were from the state of Sergipe, coming from Australia (10AU and 13AU). Four cuttings were made with a frequency of 60 days. The treatments were randomized in blocks, with split plots and three replications. The variables studied were plant height, stem diameter, canopy diameter, the number of leaves per branch, LAI, leaf yield, stem yield, pod yield and forage yield, and leaf stem -1 ratio and pod stem-1 ratio. Genotypes 7G and 31D had higher forage yield and a larger number of leaves per branch. Forage yield was higher in the intensity of 20 cm. The cuttings reduced the total yield, stem yield, pods yield and forage yield, of the different genotypes studied. For leaf stem-1 ratio, the genotype 13AU was higher than genotypes 7G and 50J in the cutting intensity of 40 cm. Genotype 10AU had the highest pod stem-1 ratios in the three cuttings. The differences shown between genotypes of Desmanthus spp., especially 7G and 31D, in the intensity of 20 cm, indicate the possibility of selecting promising materials for cultivation in the semi-arid region of Pernambuco, with desirable morphological and productive characteristics to the forage plants.

The Molecular Characterization and Biological Assessment of the Leaves Extracts of Loofah Reveal their Nutraceutical Potential

2020 ◽  
Vol 11 ◽  
Author(s):  
Takoua Ben Hlel ◽  
Feten Belhadj ◽  
Fatih Gül ◽  
Muhammed Altun ◽  
Ayşe Şahin Yağlıoğlu ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Phenolic Compounds ◽  
Hela Cell ◽  
Arid Region ◽  
Biological Properties ◽  
Biological Assessment ◽  
Omega 3 ◽  
Hela Cell Lines ◽  
Semi Arid Region ◽  
Semi Arid

Background:: Luffa cylindrica is a plant that is widely distributed in Africa and Asia and it can be grown in regions with tropical or subtropical climates. Few patents dealt with Loofah biological properties, including some functional foods formulated from its leaves. Objective:: This study aimed to structurally and functionally characterize the bioactive compounds of L. cylindrica leaves grown in two different environments. Methods:: The extracts of L. cylindrica leaves collected from two Tunisian locations: Essouasi (LE), a semi-arid region and Medenine (LM) an arid region, were investigated for their phenolic compounds and fatty acids using HPLC/TOF-MS and GCMS techniques respectively. Furthermore, the antioxidant capacity was evaluated with DPPH, Chelating effect, Hydroxyl radical and Superoxide anion scavenging activities while the anticancer activity against HeLa cell lines was assessed using xCELLigence real time cell analyzer and lactate dehydrogenase cytotoxicity assay. Results:: The antiproliferative capacity of both extracts was time and dose-dependent with LE presenting the lowest HeLa cell index (CI = 0.035 ± 0.018, 250 μg/ml). LE also showed the best cytotoxic capacity (56.49 ± 0.8%) and antioxidant potential (IC50 = 54.41 ± 1.12 μg/ml for DPPH and 12.12 ± 0.07 μg/ml for chelating effet). 14 phenolic compounds were detected in LE with ferulic acid being the major compound (5128.5 ± 4.09 μg Phenols/g) while LM had only 6 phenolics. GCMS analysis showed the presence of omega-3 fatty acids in LE. Conclusions:: Our findings suggest that L. cylindrica leaves, especially when collected from semi-arid regions, are promising for formulating nutraceuticals of interest.

Space-time monitoring of soil organic carbon content across a semi-arid region of Australia

2021 ◽  
Vol 24 ◽  
pp. e00367
Author(s):  
Patrick Filippi ◽  
Stephen R. Cattle ◽  
Matthew J. Pringle ◽  
Thomas F.A. Bishop
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Content ◽  
Arid Region ◽  
Space Time ◽  
Organic Carbon Content ◽  
Soil Organic Carbon Content ◽  
Semi Arid Region ◽  
Semi Arid
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