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      • Open Access Article

        1 - Temporal variations of soil moisture in relation to precipitation and temperature under fallow and planted conditions in rainfed land
        uones mazllom Aliabadi alireza vaezi jeafar nikbakht
        Soil moisture (SM) is the major factor controlling plant growth particularly in rainfed lands. It varies due to the change of climatic parameters such as precipitation and air temperature and evaporation. This study was conducted to found climatic factor influencing soi More
        Soil moisture (SM) is the major factor controlling plant growth particularly in rainfed lands. It varies due to the change of climatic parameters such as precipitation and air temperature and evaporation. This study was conducted to found climatic factor influencing soil moisture under rainfed conditions. A field experiment with two cultivated conditions: under fallow and cultivated with winter wheat was designed in a rainfed land with 10% slope steepness in the University of Zanjan during growth period from 2016 to 2017. Toward this, six plant plots with 2m × 5m dimensions were installed along the slope orientation similar to conventional tillage method in the area. Volumetric soil moisture was measured in 7-day interval using TDR model IDRG SMS-T2 set during growth period Climatic variables including air temperature (AT) and precipitation (P) along with soil temperature (ST) were determined during growth period. Based on the results, SM in cultivated plots was about 11% less than the follow plots, and this difference was statistically significant between the two. Amount of soil moisture significantly varied among different months (p<0.001). Significant correlations were found between SM and P, AT and ST in the two cultivation conditions (p<0.05). Higher dependency of SM on AT (r=0.44) and ST (r=0.51) was observed in fallow plots as compared to planted plots. This study revealed that ST is the most effective property controlling SM in fallow and planted lands in the area. Manuscript profile
      • Open Access Article

        2 - Principal Component Analysis for Soil Conservation Tillage vs Conventional Tillage in Semi Arid Region of Punjab Province of Pakistan
        Ijaz Rasool Noorka Shabir A Shahid Saeed Rouf
        Principal component analysis is a valid method used for data compression and information extraction in a given set of experiments. It is a well-known classical data analysis technique. There are a number of algorithms for solving the problems, some scaling better than o More
        Principal component analysis is a valid method used for data compression and information extraction in a given set of experiments. It is a well-known classical data analysis technique. There are a number of algorithms for solving the problems, some scaling better than others. Wheat ranks as the staple food of most of the nations as well as an agent of poverty reduction, food security and world peace. Due to limited sowing time and conventional cropping pattern the wheat yield suffers. Efficient tillage methods maintain soil health and crops response. The present investigations were carried out to study the effects of different tillage systems on yield and yield contributing traits, using Randomized Complete Block Design. Two tillage systems i.e. conservation tillage and conventional tillage were used. Three principal components were sufficient to explain the variations. The traits plant height, number of leaves, number of tillers, peduncle length, spike length, number of spikelets per spike, number of grains per spike, grain weight per spike and grain yield were affected significantly under conservation tillage as well as conventional tillage systems. The graphic representation showed that yield contributing traits behaved best in conservation tillage practice. The present study revealed that conservation tillage method produced optimum yield for wheat production. Manuscript profile