Climatic Variability and Agronomic Cropping Pattern

2019 ◽  
pp. 33-44
Author(s):  
Imran ◽  
Amanullah ◽  
Abdul Bari ◽  
Hamayoon Khan ◽  
Roshan Ali
Keyword(s):  
Climatic Variability ◽  
Cropping Pattern

Influence of climate-induced disasters and climatic variability on cropping pattern and crop production in Bangladesh

2019 ◽  
Vol 22 (7) ◽  
pp. 6709-6726
Author(s):  
Md. Shafiqul Islam ◽  
Shimul Roy ◽  
Rezuana Afrin ◽  
Md. Younus Mia
Keyword(s):  
Crop Production ◽  
Climatic Variability ◽  
Cropping Pattern

Cropping Pattern and Agricultural Landuse in Mohol Tahsil of Solapur District (MS)

2011 ◽  
Vol 3 (11) ◽  
pp. 235-237
Author(s):  
A. G. Nimase A. G. Nimase ◽  
◽  
Dr. T. N. Lokhande Dr. T. N. Lokhande
Keyword(s):  
Cropping Pattern

Impact of Optimal Cropping Patterns on Incomes in a Punjab District

1976 ◽  
Vol 15 (2) ◽  
pp. 218-221
Author(s):  
M. Arshad Chaudhry
Keyword(s):  
Developing Countries ◽  
Linear Programming ◽  
Short Note ◽  
Cropping Pattern ◽  
Small Farms ◽  
Cropping Patterns ◽  
Punjab Province ◽  
Optimal Cropping

To improve farm incomes in developing countries, the foremost question that the farmer must address himself to is: what cropping pattern best uses the fixed resources in order to get the highest returns? During the last decade, the agricultural economists have shown great interest in applying the tools of linear programming to individual farms. Most of the studies conducted elsewhere have shown that, under existing cropping pattern, farm resources were not being utilized optimally on the small farms.[l, 4]. We conducted a survey in the canal-irrigated areas of the Punjab province of Pakistan1 to investigate into the same problem. This short note aims at identifying the opti¬mal cropping pattern and to estimate the increase in farm incomes as a result of a switch towards it on the sampled farms.

Phytoplankton of a subarctic lake under climatic variability

2019 ◽  
Vol 56 (2) ◽  
pp. 51
Author(s):  
A. N. Sharov ◽  
V. N. Nikulina ◽  
A. A. Maximov ◽  
Keyword(s):  
Climatic Variability ◽  
Subarctic Lake

Structural Transformation of Punjab Agriculture and its Environmental Implications

2020 ◽  
pp. 533-546
Keyword(s):  
Structural Transformation ◽  
Diversity Index ◽  
Green Revolution ◽  
Agricultural Practices ◽  
Secondary Data ◽  
Cropping Pattern ◽  
Environmental Implications ◽  
Question Mark ◽  
Sustainability Issue ◽  
Economic Survey

As per Economic Survey of Punjab, (2019-20), Punjab alone contributed more than 1/4 and 1/3 of the central pool of rice and th rd wheat respectively in 2018-19 and accordingly named as bread-basket of India. However, such a huge contribution was due to the structural transformation of agriculture in Punjab under the Green Revolution. Such transformation leads to intensive use of natural resources with mono-culture of wheat-paddy till today, which put a big question mark on the sustainability issue of agriculture in Punjab. The present study was exclusively based on secondary data, covering the period of 1965-66 to 2018-2019, almost 55 years. Hirschman Herfindhal index and Simpson Diversity index were used to determine the extent of concentration and diversification in the cropping pattern of Punjab agriculture. The results highlight the facts that level of diversification was declining and the level of concentration was increasing. Moreover, Compound Growth Rate (CGR) of yield was either stagnating or declining over the years. Not only this, based on the index of agriculture production, the trend values were negative since the 21 century. Accordingly, st intensive agricultural practices should be stopped, and diversification should get priority in such a way that food security is not jeopardized.

scholarly journals Effect of ecological and conventional managements on soil enzymatic activities in coffee agroecosystems

2018 ◽  
Vol 48 (4) ◽  
pp. 420-428
Author(s):  
Johana Juliet Caballero Vanegas ◽  
Karen Bibiana Mejía Zambrano ◽  
Lizeth Manuela Avellaneda-Torres
Keyword(s):  
Sustainable Management ◽  
Climatic Variability ◽  
Agricultural Practices ◽  
Enzymatic Activities ◽  
Acid And Alkaline Phosphatase ◽  
Dry Seasons ◽  
Synthetic Fertilizers ◽  
Coffee Agroecosystems ◽  
Alkaline And Acid Phosphatase

ABSTRACT Understanding the impacts of agricultural practices on soil quality indicators, such as enzymatic activities, is of great importance, in order to advance in their diagnosis and sustainable management. This study aimed to evaluate the effect of ecological and conventional agricultural managements on enzymatic activities of a soil under coffee agroecosystems. The enzymatic activities were associated with the biogeochemical cycles of nitrogen (urease and protease), phosphorus (acid and alkaline phosphatase) and carbon (β-glucosidase), during the rainy and dry seasons. Physical-chemical soil proprieties were also assessed and related to resilience scores linked to the climatic variability reported for the areas under study. The activities of urease, alkaline and acid phosphatase and ß-glucosidase were statistically higher in ecological agroecosystems than in conventional ones. This may be attributed to the greater application of organic waste in the ecological environment, as well as to the absence of pesticides and synthetic fertilizers, which allow better conditions for the microbial activity. The resilience scores to the climate variability that showed the highest correlations with the assessed enzymatic activities were: the farmers' knowledge on soil microorganisms, non-use of pesticides and synthetic fertilizers and non-dependence on external supplies. It was concluded that the enzymatic activities are modified by the management systems, being specifically favored by the ecological management. This agroecosystem, in the long term, ensures an efficient use of the soil resources, with a lower degradation and contamination.

Mapping of intra-season dynamics in the cropping pattern using remote sensing for irrigation management

2021 ◽  
pp. 1-24
Author(s):  
Sobhan Mishra ◽  
Annie Maria Issac ◽  
Ronald Singh ◽  
Pokkuluri Venkat Raju ◽  
Venkateshwar Rao Vala
Keyword(s):  
Remote Sensing ◽  
Irrigation Management ◽  
Cropping Pattern
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