Characterization and crop production efficiency of diazotrophic isolates from the rhizosphere of semi-arid tropical grasses of India

2015 ◽  
Vol 87 ◽  
pp. 1-10 ◽  
Author(s):  
C. Sarathambal ◽  
K. Ilamurugu ◽  
D. Balachandar ◽  
C. Chinnadurai ◽  
Yogita Gharde
Keyword(s):  
Crop Production ◽  
Production Efficiency ◽  
Tropical Grasses ◽  
Semi Arid

scholarly journals Deep Learning-Based Growth Prediction System: A Use Case of China Agriculture

Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1551
Author(s):  
Tamoor Khan ◽  
Jiangtao Qiu ◽  
Hafiz Husnain Raza Sherazi ◽  
Mubashir Ali ◽  
Sukumar Letchmunan ◽  
...  
Keyword(s):  
Deep Learning ◽  
Crop Production ◽  
Agricultural Development ◽  
Production Efficiency ◽  
Fruit Production ◽  
National Bureau ◽  
System A ◽  
Future Production ◽  
Learning Techniques ◽  
Agricultural Yields

Agricultural advancements have significantly impacted people’s lives and their surroundings in recent years. The insufficient knowledge of the whole agricultural production system and conventional ways of irrigation have limited agricultural yields in the past. The remote sensing innovations recently implemented in agriculture have dramatically revolutionized production efficiency by offering unparalleled opportunities for convenient, versatile, and quick collection of land images to collect critical details on the crop’s conditions. These innovations have enabled automated data collection, simulation, and interpretation based on crop analytics facilitated by deep learning techniques. This paper aims to reveal the transformative patterns of old Chinese agrarian development and fruit production by focusing on the major crop production (from 1980 to 2050) taking into account various forms of data from fruit production (e.g., apples, bananas, citrus fruits, pears, and grapes). In this study, we used production data for different fruits grown in China to predict the future production of these fruits. The study employs deep neural networks to project future fruit production based on the statistics issued by China’s National Bureau of Statistics on the total fruit growth output for this period. The proposed method exhibits encouraging results with an accuracy of 95.56% calculating by accuracy formula based on fruit production variation. Authors further provide recommendations on the AGR-DL (agricultural deep learning) method being helpful for developing countries. The results suggest that the agricultural development in China is acceptable but demands more improvement and government needs to prioritize expanding the fruit production by establishing new strategies for cultivators to boost their performance.

scholarly journals Evaluation of the physiological significance of leaf wetting by dew as a supplemental water resource in semi-arid crop production

2021 ◽  
Vol 255 ◽  
pp. 106964
Author(s):  
Gaku Yokoyama ◽  
Daisuke Yasutake ◽  
Keisuke Minami ◽  
Kensuke Kimura ◽  
Atsushi Marui ◽  
...  
Keyword(s):  
Water Resource ◽  
Crop Production ◽  
Physiological Significance ◽  
Semi Arid

scholarly journals Treatment of organic resources before soil incorporation in semi-arid regions improves resilience to El Niño, and increases crop production and economic returns

2019 ◽  
Vol 14 (8) ◽  
pp. 085004 ◽  
Author(s):  
Jo Smith ◽  
Dali Nayak ◽  
Fabrizio Albanito ◽  
Bedru Balana ◽  
Helaina Black ◽  
...  
Keyword(s):  
El Niño ◽  
Crop Production ◽  
Arid Regions ◽  
El Nino ◽  
Economic Returns ◽  
Organic Resources ◽  
Semi Arid

scholarly journals CLIMATE VARIABILITY AND CHANGE: FARMER PERCEPTIONS AND UNDERSTANDING OF INTRA-SEASONAL VARIABILITY IN RAINFALL AND ASSOCIATED RISK IN SEMI-ARID KENYA

2011 ◽  
Vol 47 (2) ◽  
pp. 267-291 ◽  
Author(s):  
K. P. C. RAO ◽  
W. G. NDEGWA ◽  
K. KIZITO ◽  
A. OYOO
Keyword(s):  
Climate Variability ◽  
Crop Production ◽  
Smallholder Farmers ◽  
Crop Productivity ◽  
General Tendency ◽  
Climate Variability And Change ◽  
Negative Impacts ◽  
Probabilistic Nature ◽  
Semi Arid

SUMMARYThis study examines farmers’ perceptions of short- and long-term variability in climate, their ability to discern trends in climate and how the perceived trends converge with actual weather observations in five districts of Eastern Province in Kenya where the climate is semi-arid with high intra- and inter-annual variability in rainfall. Field surveys to elicit farmers’ perceptions about climate variability and change were conducted in Machakos, Makueni, Kitui, Mwingi and Mutomo districts. Long-term rainfall records from five meteorological stations within a 10 km radius from the survey locations were obtained from the Kenya Meteorological Department and were analysed to compare with farmers’ observations. Farmers’ responses indicate that they are well aware of the general climate in their location, its variability, the probabilistic nature of the variability and the impacts of this variability on crop production. However, their ability to synthesize the knowledge they have gained from their observations and discern long-term trends in the probabilistic distribution of seasonal conditions is more subjective, mainly due to the compounding interactions between climate and other factors such as soil fertility, soil water and land use change that determine the climate's overall influence on crop productivity. There is a general tendency among the farmers to give greater weight to negative impacts leading to higher risk perception. In relation to long-term changes in the climate, farmer observations in our study that rainfall patterns are changing corroborated well with reported perceptions from other places across the African continent but were not supported by the observed trends in rainfall data from the five study locations. The main implication of our findings is the need to be aware of and account for the risk during the development and promotion of technologies involving significant investments by smallholder farmers and exercise caution in interpreting farmers’ perceptions about long-term climate variability and change.

scholarly journals Phosphorus as a mitigator of the effects of water stress on the growth and photosynthetic capacity of tropical C4 grasses

2016 ◽  
Vol 38 (3) ◽  
pp. 363 ◽  
Author(s):  
Frank Akiyoshi Kuwahara ◽  
Gustavo Maia Souza ◽  
Kezia Aparecida Guidorizi ◽  
Ciniro Costa ◽  
Paulo Roberto de Lima Meirelles
Keyword(s):  
Water Stress ◽  
Crop Production ◽  
Photosynthetic Capacity ◽  
Panicum Maximum ◽  
P Deficiency ◽  
Tropical Grasses ◽  
Tropical Forage ◽  
Productive Potential ◽  
Urochloa Decumbens ◽  
Urochloa Brizantha

Water deficiency during the dry seasons influences the relationship between water and gas exchange in tropical grasses, reducing their productive potential. In addition, the phosphorus (P) deficiency Brazilian soils adds to the set of factors limiting crop production. In this context, the objective of this study was to evaluate the responses of different tropical forage species to phosphorus supplementation as mitigating the damage caused by water stress. Seeds of Urochloa brizantha cv. MG-4, Urochloa decumbens cv. Basilisk, Panicum maximum cv. Áries, Panicum maximum cv. Tanzânia and Paspalum atratum cv. Pojuca were germinated in pots containing 10 liters of red-yellow Acrisol type soil. Experiments were conducted by combining levels of phosphorus, 8,0 and 100,0 mg of P dm-3, with two irrigation regimes, 100 and 40% replacement of transpired water. The biometric parameters, photosynthetic capacity, leaf water potential and soil chemical characteristics were evaluated, and the data was submitted to analysis of variance (ANOVA, p < 0.05), and subsequently the means were compared using a Tukey test (p < 0.05). The results showed for tropical grasses grown under water stress, there is a clear mitigating effect of phosphorus supplementation, especially on the maintenance of biomass growth. 

scholarly journals Nutrient digestibility in horses of tropical grasses found in semi-arid areas of the Brazilian Northeast region assessed using mobile bags

2021 ◽  
Vol 50 ◽  
Author(s):  
Alisson Herculano da Silva ◽  
Jorge Eduardo Cavalcante Lucena ◽  
Juliano Martins Santiago ◽  
Daniel Anderson de Souza Melo ◽  
Djanira Paula Soares de Souza Silva ◽  
...  
Keyword(s):  
Nutrient Digestibility ◽  
Arid Areas ◽  
Tropical Grasses ◽  
Northeast Region ◽  
Brazilian Northeast ◽  
Semi Arid

scholarly journals Smallholder farmers’ climate change adaptation practices contribute to crop production efficiency in Southern Ethiopia

2021 ◽  
Author(s):  
Dessalegn Anshiso Sedebo ◽  
Gu‐Cheng Li ◽  
Kidane Assefa Abebe ◽  
Bekele Gebisa Etea ◽  
John Kojo Ahiapka ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Crop Production ◽  
Production Efficiency ◽  
Smallholder Farmers ◽  
Southern Ethiopia ◽  
Adaptation Practices
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