chickpea (cicer arietinum) is the third most important pulse crop in the world, grown widely across asia and the middle east. weed is one of the main limiting factors in chickpea (cicer arietinum) production. several characteristics of chickpea (cicer arietinum), such as slow plant emergence, short plant height, and chickpea morphology allow weeds to compete effectively. to investigate the effe...

in order to study compatibility of 30 white bean genotypes under karaj climate, an experiment was conducted based on randomized complete block design with four replications. evaluation and statistical analysis was performed for 18 important traits. analysis of variance results showed that there are significant differences between varieties for all traits. results of genotypes means comparison w...

A complete diallel cross using eight flax genotypes including four Iranian breeding lines and four Canadian genotypes was carried out to estimate genetic parameters for days to flowering, days to maturity, plant height, primary branches per plant, number of capsules per plant, number of seeds per capsule, seed yield per plant, 1000-seed weight, seed yield and harvest index. Analysis of variance...

Pedigree selection was practiced on two bread wheat populations, namely i.e. (Debeira x Sahel 1) as considered population I and (Sids 6 x Sahel 1) as considered population II. Experiments were conducted under drought stress conditions (at 12 % soil moisture content) in order to improve yield and its component traits (no. of spikes / plant, biological yield, grain yield / plant and 1000-grain we...

An experiment was conducted at the Research farm of Regional Agricultural Research Station, BARI, Hathazari, Chittagong during Rabi season (December to April), 2009-2010 for estimation of genetic variability, genetic parameters and correlation coefficient among different yield components in a randomized block design with three replications. Thirty four groundnut genotypes were tested in the exp...

Since it may help growers and farmers maximize crop yields preserve resources, predicting plant development is a significant topic in agriculture forestry. Machine learning offers potential tool for forecasting based on data, unlike older approaches that rely the shape of plant, we collect data growth utilize variety machine techniques, including linear regression, decision trees, neural networ...