Effect of Drought/Water Stress and Adaptation to Unintended Consequences of Wheat Growth and Development in Pakistan

2014 ◽  
pp. 471-482
1968 ◽  
Vol 48 (2) ◽  
pp. 129-137 ◽  
Author(s):  
A. R. Maurer ◽  
H. F. Fletcher ◽  
D. P. Ormrod

Pea plants growing in "weighing lysimeters" were subjected to five soil-water regimes to determine their response to varying conditions of soil water imposed at different stages of development. Plants subjected to a minimal water stress developed luxuriantly and continued to grow up to the harvest period. Pea yield and plant height were not reduced, but fresh weight and dry matter were less if irrigation was applied when soil water fell to 60% rather than 88% of that available. A severe water stress after blossom reduced pea yield, irrespective of soil-water conditions prior to blossom. Plants which had been given ample soil water before blossom wilted visibly when a severe stress was imposed in the post-blossom period, yet wilting did not occur in plants subjected to severe water stress both before and after blossom. Severe water stress prior to blossom did not cause a decrease in pea yield if ample soil moisture was made available after blossom.


2001 ◽  
Vol 52 (7) ◽  
pp. 755 ◽  
Author(s):  
R. D. Cousens ◽  
J. W. Warringa ◽  
J. E. Cameron ◽  
V. Hoy

Raphanus raphanistrum was grown in monoculture and as a range of cohorts of emergence in mixture with wheat. Growth and development were recorded at frequent intervals up to anthesis of the wheat.R. raphanistrum remained shorter than wheat, only over-topping the crop prior to anthesis for 2 of 7 sowing dates. When expressed in terms of photothermal time, growth in monocultures was similar for all sowing dates except those for wheat in mid-summer. Even a short delay in R. raphanistrumemergence in mixture decreased its growth considerably; R. raphanistrum emerging more than 4 weeks after the crop had no detectable effect on the wheat. However, even R. raphanistrum plants emerging 10 weeks after the crop produced some seeds. In mixture, R. raphanistrum had a higher specific leaf area (SLA), reduced leaf partitioning, and taller stems than in monoculture. A physiological growth model based on parameters from monocultures was unable to predict growth in mixtures; inclusion of changes in SLA and height in mixture improved predictions in some cases. It is concluded that competition models based on monoculture parameters, although previously successful for species with similar height and phasic development, are unlikely to work for species that differ in these attributes. Further work is required on the physiology of plants within mixtures.


2008 ◽  
Vol 100 (3) ◽  
pp. 711-719 ◽  
Author(s):  
David H. Fleisher ◽  
Dennis J. Timlin ◽  
Vangimalla R. Reddy

2010 ◽  
Vol 61 (8) ◽  
pp. 2203-2216 ◽  
Author(s):  
J. B. Evers ◽  
J. Vos ◽  
X. Yin ◽  
P. Romero ◽  
P. E. L. van der Putten ◽  
...  

Author(s):  
Gundega Dinaburga ◽  
Dainis Lapiņš ◽  
Andris Bērziņš

The modern meaning of accurate crop cultivation is closely associated with the new information technologies - geographic information and global positioning systems. Latvia has not published the results of research on soil conditions and the impact of unregulated factors of production conditions on winter wheat growth and yield. Analysis of results of studies aimed to clarify the difference of soil treatment facilities, as the criteria for the treatment of soil using soil characterizing Non-plant growth and development factors. Investigations were carried out in 2005 – 2007 on the production plantations of the Kurpnieki field, the Vecauce Study and Research Farm of the Latvia University of Agriculture. The results, while on a previous year, research on soil management measures to optimize the opportunities associated with global positioning systems, precision field management implementation practice shows that in order to obtain objective indicators and to gain the desired results, it was not enough for one season observation, since a large role in shaping the harvest is the meteorological conditions during the growing period. Unregulated factors: organic matter content, Ap horizon thickness, as well as the relative height above sea-level properties of materials research is the prerequisite for geographic information system-based resource-saving cultivation technology field-crop cultivation.


OENO One ◽  
2009 ◽  
Vol 43 (1) ◽  
pp. 13 ◽  
Author(s):  
Héctor Valdés-Gómez ◽  
Florian Celette ◽  
Iñaki García de Cortázar-Atauri ◽  
Francisco Jara-Rojas ◽  
Samuel Ortega-Farías ◽  
...  

<p style="text-align: justify;"><strong>Background and aims</strong>: Many models have been developed to evaluate crop growth and development, but few are capable of simulating grapevine systems. The present study was carried out to evaluate the ability of the STICS model to represent grapevine phenology, biomass production, yield and soil water content in two situations differing with respect to rainfall distribution and water management strategies.</p><p style="text-align: justify;"><strong>Methods and results</strong>: Simulations were performed for an irrigated vineyard in Chile and an irrigated and a non-irrigated vineyard in France. The crop model gave a good estimation of the main stages of grapevine phenology (less than six days difference between simulated and observed values). Soil water content was the best simulated variable (R2 = 0.99), whereas grapevine evapotranspiration observed only in Chile (R2 = 0.43) and leaf area index observed only in France (R2= 0.80) were the worst simulated variables. Biomass production, yield and their components were correctly simulated (within the 95 % Student confidence interval around the mean observed value). A comparison of the fraction of transpirable soil water and vine water potential measurements with the water stress indices calculated by the STICS model showed that the time and duration of the grapevine water stress period was correctly estimated.</p><p style="text-align: justify;"><strong>Conclusions</strong>: Therefore, the STICS model was reasonably successful in simulating vine growth and development, and identifying critical periods concerning the vine water status.</p><p style="text-align: justify;"><strong>Significance of the study</strong>: The STICS model can be used to evaluate various water management strategies and their impacts on grape production.</p>


1996 ◽  
Vol 7 (2-3) ◽  
pp. 5-13 ◽  
Author(s):  
James E. Horne ◽  
Alexandre E. Kalevitch ◽  
Mariia V. Filimonova

2011 ◽  
Vol 120 (1) ◽  
pp. 58-67 ◽  
Author(s):  
Nele Verhulst ◽  
Bram Govaerts ◽  
Victoria Nelissen ◽  
Ken D. Sayre ◽  
Jose Crossa ◽  
...  

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